Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry

Background: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally rel...

Full description

Saved in:
Bibliographic Details
Published inBritish journal of cancer Vol. 105; no. 12; pp. 1894 - 1904
Main Authors Silva, C L, Passos, M, Câmara, J S
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 06.12.2011
Nature Publishing Group
Subjects
631/1647/2196/2111
692/699/67/1857
Aged
Biological and medical sciences
Biomarkers
Biomarkers, Tumor - urine
Biomedical and Life Sciences
Biomedicine
Cancer Research
Chromatography
Discriminant analysis
Drug Resistance
Epidemiology
Female
Gas Chromatography-Mass Spectrometry - methods
Humans
Limit of Detection
Lung cancer
Male
Mass spectrometry
Medical research
Medical sciences
Metabolism
Metabolites
Middle Aged
Molecular Diagnostics
Molecular Medicine
Neoplasms - urine
Oncology
Scientific imaging
Tumors
Urine
Viruses
Volatile Organic Compounds - urine
Portugal
volatile organic metabolites
urine
biomarkers
HS-SPME/GC-qMS
Urine
Drug combination
Metabolite
Biological marker
Exploration
Malignant tumor
Gas chromatography
Cancerology
Solid phase
Mass spectrometry
Cancer
Online AccessGet full text

Cover

Abstract Background: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. Methods: To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, w v −1 ) and under agitation. Results: A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different ( P <0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p -cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. Conclusions: Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.
AbstractList Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer.BACKGROUNDNon-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer.To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, w v(-1)) and under agitation.METHODSTo investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, w v(-1)) and under agitation.A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (P<0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients.RESULTSA total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (P<0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients.Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.CONCLUSIONSGas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.
Background: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. Methods: To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, w v −1 ) and under agitation. Results: A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different ( P <0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p -cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. Conclusions: Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.
Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, wv(-1)) and under agitation. A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (P<0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.
Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxen-polydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 50°C for 60 min using samples with high ionic strengths (17% sodium chloride, w v(-1)) and under agitation. A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (P<0.05). A significant increase in the peak area of 2-methyl-3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.
Author Câmara, J S
Silva, C L
Passos, M
Author_xml – sequence: 1
  givenname: C L
  surname: Silva
  fullname: Silva, C L
  organization: CQM/UMa – Centro de Química da Madeira, Centro de Ciências Exactas e da Engenharia, Universidade da Madeira, Campus Universitário da Penteada
– sequence: 2
  givenname: M
  surname: Passos
  fullname: Passos, M
  organization: Hospital Dr Nélio Mendonça, Avda. Luís de Camões
– sequence: 3
  givenname: J S
  surname: Câmara
  fullname: Câmara, J S
  email: jsc@uma.pt
  organization: CQM/UMa – Centro de Química da Madeira, Centro de Ciências Exactas e da Engenharia, Universidade da Madeira, Campus Universitário da Penteada
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25285713$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/22085842$$D View this record in MEDLINE/PubMed
BookMark eNp1kk1vEzEQhleoiH7AjTOykBAXNvgjjr0XJFTxUakSFzhbs45347BrL7YTyH_iRzJNUgoVnKyxn3lnXs-cVychBldVTxmdMSr063ZtZ5wyNpsL9aA6Y1LwmmmuTqozSqmqacPpaXWe8xrDhmr1qDrlnGqp5_ys-nkVti4X30PxMZDYkU3yAdKObOOAd4MjMfUQvCWjK9DGwReXCWQyxeJC8TAQC8G6RFofR0hfXcqk3ZGM5LKeVpAdGb1N0f0oCey-ig_ExrHFOvvwuy8r0qOkXSWUKLFPMK129Qg5kzw5W_DalbR7XD3sYMjuyfG8qL68f_f58mN9_enD1eXb69pKKkstRcME43YhFPCuY2qhFbfA56rRHShm52zh3KLVAizIZSc1kpbNqW5dK5QWF9Wbg-60aUe3tOgzwWCm5NHgzkTw5u-X4Femj1sjuGRaLVDg5VEgxW8b_F8z-mzdMEBwcZNNQxslqRYMyef3yHXcpIDuTMOZkgKbR-jZn_38buR2jAi8OAKQLQxdwon4fMdJrqViAjl-4HAeOSfXGevLfghoww-GUXOzUwZ3ytzslMGdwqRX95Judf-D1wc8IxZ6l-4c_ZP_BW_k4cc
CODEN BJCAAI
CitedBy_id crossref_primary_10_1016_j_aca_2018_01_006
crossref_primary_10_1002_jssc_202100671
crossref_primary_10_3390_metabo11010017
crossref_primary_10_1080_00032719_2013_782550
crossref_primary_10_3390_molecules26071817
crossref_primary_10_1155_2013_792391
crossref_primary_10_1016_j_microc_2024_111907
crossref_primary_10_1039_C9AN00263D
crossref_primary_10_1111_apt_15622
crossref_primary_10_1007_s00216_014_7855_z
crossref_primary_10_1016_j_cca_2019_08_011
crossref_primary_10_32725_jab_2018_006
crossref_primary_10_3390_s21165440
crossref_primary_10_3390_cancers13112534
crossref_primary_10_1016_j_talanta_2017_10_025
crossref_primary_10_1038_s41598_019_48121_4
crossref_primary_10_3390_molecules27155023
crossref_primary_10_1007_s11010_024_05041_w
crossref_primary_10_1038_s41598_017_15355_z
crossref_primary_10_1111_codi_14739
crossref_primary_10_1088_1752_7163_abf1d0
crossref_primary_10_1039_C7AY01655G
crossref_primary_10_1016_j_aca_2012_06_052
crossref_primary_10_1016_j_talanta_2011_12_041
crossref_primary_10_1371_journal_pone_0108750
crossref_primary_10_3390_metabo10120482
crossref_primary_10_1097_CCO_0b013e328360f591
crossref_primary_10_1134_S1061934817110053
crossref_primary_10_3390_cancers10090300
crossref_primary_10_1186_s12885_018_4235_7
crossref_primary_10_1016_j_aca_2024_343261
crossref_primary_10_3390_molecules25163651
crossref_primary_10_1007_s11306_020_1635_x
crossref_primary_10_18632_oncotarget_16727
crossref_primary_10_1016_j_ebiom_2020_102725
crossref_primary_10_1021_acs_analchem_3c02523
crossref_primary_10_1016_j_trac_2024_117941
crossref_primary_10_1002_mnfr_201801060
crossref_primary_10_1016_j_snb_2022_132329
crossref_primary_10_1007_s10337_014_2720_y
crossref_primary_10_1002_bmc_3156
crossref_primary_10_1007_s00216_013_7527_4
crossref_primary_10_3748_wjg_v22_i4_1639
crossref_primary_10_1021_acs_analchem_0c04200
crossref_primary_10_1088_1752_7163_ad89ef
crossref_primary_10_1002_ijc_34434
crossref_primary_10_1016_j_sampre_2024_100112
crossref_primary_10_3390_jcm13206164
crossref_primary_10_3390_jcm9103191
crossref_primary_10_3390_metabo13010055
crossref_primary_10_1155_2022_1758113
crossref_primary_10_1038_srep43969
crossref_primary_10_1186_s40463_018_0288_5
crossref_primary_10_1016_j_foodchem_2021_130449
crossref_primary_10_1016_j_trac_2012_08_011
crossref_primary_10_1371_journal_pone_0119700
crossref_primary_10_3390_nu15173752
crossref_primary_10_1007_s11306_012_0425_5
crossref_primary_10_1021_acs_jproteome_0c00936
crossref_primary_10_1016_j_chemosphere_2022_133901
crossref_primary_10_1007_s11306_019_1525_2
crossref_primary_10_1016_j_clinms_2020_10_004
crossref_primary_10_1021_ac4000656
crossref_primary_10_1111_codi_13271
crossref_primary_10_3390_molecules26061789
crossref_primary_10_1371_journal_pone_0287465
crossref_primary_10_1186_s12575_022_00184_w
crossref_primary_10_2174_0929867324666171004164636
crossref_primary_10_1016_j_foodres_2012_12_040
crossref_primary_10_1007_s11306_013_0523_z
crossref_primary_10_1016_j_chroma_2020_461862
crossref_primary_10_1016_j_jpba_2022_114902
crossref_primary_10_4155_bio_13_52
crossref_primary_10_1007_s11306_017_1251_6
crossref_primary_10_1007_s00216_018_1103_x
crossref_primary_10_1016_j_chemosphere_2023_138667
crossref_primary_10_1097_JS9_0000000000000999
crossref_primary_10_1016_j_cca_2023_117236
crossref_primary_10_1021_acssensors_2c00467
crossref_primary_10_1038_s41598_018_31380_y
crossref_primary_10_1371_journal_pone_0073076
crossref_primary_10_1016_j_ejca_2023_03_002
crossref_primary_10_1016_j_jchromb_2021_122975
crossref_primary_10_1007_s11419_017_0396_3
crossref_primary_10_1186_s12885_015_1996_0
crossref_primary_10_3390_s17081795
crossref_primary_10_1021_acsanm_4c06298
crossref_primary_10_3390_cancers14163982
crossref_primary_10_1111_jcmm_13132
crossref_primary_10_1001_jamaoncol_2018_0991
crossref_primary_10_3390_photonics10091051
crossref_primary_10_3390_cancers15041352
crossref_primary_10_1002_ffj_3219
crossref_primary_10_1038_srep14744
crossref_primary_10_1039_D1AN01127H
crossref_primary_10_1021_acs_analchem_2c02873
crossref_primary_10_1515_cclm_2016_1158
crossref_primary_10_1038_s41598_021_96613_z
crossref_primary_10_1039_C7RA02056B
crossref_primary_10_1016_j_aca_2018_04_027
crossref_primary_10_1080_1354750X_2018_1548031
crossref_primary_10_1097_MOU_0b013e3283605159
crossref_primary_10_1134_S1061934820060088
crossref_primary_10_1007_s11306_024_02180_5
crossref_primary_10_1002_hon_2313
crossref_primary_10_1007_s12274_022_4459_3
crossref_primary_10_1016_j_jchromb_2013_11_038
crossref_primary_10_1007_s00216_016_9618_5
crossref_primary_10_3389_fvets_2022_932474
crossref_primary_10_1016_j_talanta_2025_127646
crossref_primary_10_1039_C8RA07342B
crossref_primary_10_3390_s16101708
crossref_primary_10_3390_s24144712
crossref_primary_10_1093_biomethods_bpz014
crossref_primary_10_1371_journal_pone_0143283
crossref_primary_10_1080_10408347_2019_1699013
crossref_primary_10_1007_s00216_017_0508_2
crossref_primary_10_1016_j_cca_2019_05_012
crossref_primary_10_1016_j_nanoen_2020_104941
crossref_primary_10_1016_j_bios_2014_10_044
crossref_primary_10_3390_metabo12010015
crossref_primary_10_1093_bjsopen_zrae154
crossref_primary_10_1016_j_bbcan_2021_188644
crossref_primary_10_1016_j_heliyon_2024_e39028
crossref_primary_10_2171_jao_55_6
crossref_primary_10_1021_ac4010309
crossref_primary_10_1021_cr300484s
crossref_primary_10_1007_s11306_018_1361_9
crossref_primary_10_1155_2015_981458
crossref_primary_10_3390_curroncol30050370
crossref_primary_10_17816_onco40068
crossref_primary_10_1016_j_jchromb_2018_11_002
crossref_primary_10_12677_ACM_2016_62015
crossref_primary_10_1039_C8RA02083C
crossref_primary_10_1016_j_jchromb_2014_02_042
crossref_primary_10_1016_j_trac_2014_07_005
crossref_primary_10_1016_j_arcmed_2018_04_004
crossref_primary_10_12677_AAC_2014_42003
crossref_primary_10_3390_cancers12082017
crossref_primary_10_3390_cancers12051142
crossref_primary_10_1039_C5AY01051A
crossref_primary_10_1158_1055_9965_EPI_13_0584
crossref_primary_10_1007_s11357_019_00143_6
crossref_primary_10_1088_1752_7155_8_3_034001
crossref_primary_10_3390_cancers13102361
crossref_primary_10_3390_nu15245026
crossref_primary_10_1007_s13277_014_2439_2
crossref_primary_10_1002_ags3_12056
crossref_primary_10_1016_j_snb_2024_135828
crossref_primary_10_3390_bios10080083
crossref_primary_10_3390_metabo12111072
crossref_primary_10_1016_j_microc_2020_105479
crossref_primary_10_1016_j_trac_2018_08_020
crossref_primary_10_3390_molecules26123597
crossref_primary_10_3390_metabo13070870
crossref_primary_10_1016_j_chroma_2017_03_008
crossref_primary_10_1042_BSR20204113
crossref_primary_10_1002_elps_201300243
crossref_primary_10_3390_ijms24010129
crossref_primary_10_1016_j_foodchem_2012_04_087
crossref_primary_10_1016_j_ejca_2014_04_011
crossref_primary_10_3390_biomedicines10112852
crossref_primary_10_3390_diagnostics13040676
crossref_primary_10_1002_jssc_201200244
crossref_primary_10_1016_j_snb_2022_131538
crossref_primary_10_1038_s41598_024_79383_2
crossref_primary_10_1021_ac302409a
crossref_primary_10_1007_s11306_020_1651_x
crossref_primary_10_3390_metabo12010036
crossref_primary_10_1016_j_bbrc_2017_12_164
crossref_primary_10_1038_nrgastro_2015_114
crossref_primary_10_1016_j_bios_2023_115076
crossref_primary_10_3390_metabo11040199
crossref_primary_10_1080_10408347_2017_1396885
Cites_doi 10.1016/j.ctrv.2008.10.004
10.1007/s10549-006-9176-1
10.1097/JTO.0b013e31817c7439
10.1002/rcm.3466
10.1021/ac9018022
10.1177/1534735405285096
10.1097/MCP.0b013e32819f8f06
10.1002/ajim.4700260413
10.1371/journal.pone.0008819
10.1021/ac900141z
10.1046/j.1524-4741.2003.09309.x
10.1016/S0021-9673(03)01103-8
10.1038/nature07762
10.1021/ac901216n
10.1016/j.trac.2006.11.003
10.1002/cncr.22844
10.1016/j.eururo.2010.01.035
10.1021/pr901081y
10.1590/S0001-37652007000400004
10.1021/pr100899x
10.1007/s10620-008-0665-4
10.1021/ac025984k
10.3322/caac.20073
10.1016/j.jchromb.2004.09.007
10.1016/S0009-8981(01)00390-4
10.1007/s12094-007-0068-6
10.1093/toxsci/57.1.4
10.1016/j.aca.2009.03.039
10.1016/j.chroma.2008.10.049
10.1186/1471-2407-9-104
10.1021/ac061354x
10.1016/j.lungcan.2009.03.029
10.1016/j.chroma.2005.08.017
10.1074/mcp.M700245-MCP200
10.1002/mc.2940070102
10.1016/j.jchromb.2004.05.015
ContentType Journal Article
Copyright The Author(s) 2011
2015 INIST-CNRS
Copyright Nature Publishing Group Dec 6, 2011
Copyright © 2011 Cancer Research UK 2011 Cancer Research UK
Copyright_xml – notice: The Author(s) 2011
– notice: 2015 INIST-CNRS
– notice: Copyright Nature Publishing Group Dec 6, 2011
– notice: Copyright © 2011 Cancer Research UK 2011 Cancer Research UK
DBID C6C
AAYXX
CITATION
IQODW
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7RV
7TO
7U9
7X7
7XB
88E
8AO
8C1
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AN0
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FYUFA
GHDGH
GNUQQ
H94
HCIFZ
K9.
KB0
LK8
M0S
M1P
M7P
NAPCQ
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
7X8
5PM
DOI 10.1038/bjc.2011.437
DatabaseName Springer Nature OA Free Journals
CrossRef
Pascal-Francis
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Nursing & Allied Health Database
Oncogenes and Growth Factors Abstracts
Virology and AIDS Abstracts
ProQuest Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Public Health Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
British Nursing Database (Proquest)
ProQuest Central Essentials
Biological Science Collection (ProQuest)
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
AIDS and Cancer Research Abstracts
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
ProQuest Biological Science Collection
ProQuest Health & Medical Collection
Medical Database
Biological Science Database
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest Central Student
Oncogenes and Growth Factors Abstracts
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
AIDS and Cancer Research Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Public Health
Virology and AIDS Abstracts
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
British Nursing Index with Full Text
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

ProQuest Central Student
MEDLINE
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central (subscription)
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
DocumentTitleAlternate Urinary volatile metabolic profile as potential cancer biomarkers
EISSN 1532-1827
EndPage 1904
ExternalDocumentID PMC3251876
2588489881
22085842
25285713
10_1038_bjc_2011_437
Genre Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations Portugal
GeographicLocations_xml – name: Portugal
GroupedDBID ---
-Q-
0R~
23N
36B
39C
3V.
4.4
406
53G
5GY
5RE
6J9
70F
7RV
7X7
88E
8AO
8C1
8FI
8FJ
8R4
8R5
AANZL
AAWTL
AAYZH
AAZLF
ABAKF
ABAWZ
ABDBF
ABLJU
ABOCM
ABUWG
ABZZP
ACAOD
ACGFO
ACGFS
ACKTT
ACPRK
ACRQY
ACUHS
ACZOJ
ADBBV
ADFRT
ADHDB
AEFQL
AEJRE
AEMSY
AENEX
AEVLU
AFBBN
AFKRA
AFRAH
AFSHS
AGAYW
AGHAI
AGQEE
AHMBA
AHSBF
AILAN
AJRNO
ALFFA
ALMA_UNASSIGNED_HOLDINGS
AMYLF
AN0
AOIJS
ASPBG
AVWKF
AXYYD
AZFZN
B0M
BAWUL
BBNVY
BENPR
BHPHI
BKEYQ
BKKNO
BNQBC
BPHCQ
BVXVI
C6C
CAG
CCPQU
COF
CS3
DIK
DNIVK
DPUIP
DU5
E3Z
EAD
EAP
EAS
EBC
EBD
EBLON
EBS
EE.
EIOEI
EJD
EMB
EMK
EMOBN
EPL
ESX
EX3
F5P
FDQFY
FEDTE
FERAY
FIZPM
FRJ
FSGXE
FYUFA
GX1
HCIFZ
HMCUK
HVGLF
HYE
HZ~
IH2
IWAJR
JSO
JZLTJ
KQ8
M1P
M7P
NAO
NAPCQ
NQJWS
O9-
OK1
P2P
PQQKQ
PROAC
PSQYO
Q2X
RNT
RNTTT
ROL
RPM
SNX
SNYQT
SOHCF
SOJ
SRMVM
SV3
SWTZT
TAOOD
TBHMF
TDRGL
TR2
TUS
UKHRP
W2D
WH7
WOW
~02
~8M
AAFWJ
AASML
AAYXX
ABBRH
ABDBE
ABFSG
ACMFV
ACSTC
AEZWR
AFDZB
AFHIU
AHWEU
AIGIU
AIXLP
ATHPR
AYFIA
CITATION
PHGZM
PHGZT
.55
.GJ
8WZ
A6W
AACDK
AATNV
ABRTQ
AEXYK
AI.
FIGPU
IQODW
J5H
M41
PJZUB
PPXIY
PQGLB
UDS
VH1
X7M
Y6R
ZGI
CGR
CUY
CVF
ECM
EIF
NPM
7TO
7U9
7XB
8FE
8FH
8FK
AZQEC
DWQXO
GNUQQ
H94
K9.
LK8
PKEHL
PQEST
PQUKI
PRINS
7X8
5PM
ID FETCH-LOGICAL-c505t-5391312c637a2ff176872ca24798fa71c416ee6b83aca5df58637c1408beb3783
IEDL.DBID 7X7
ISSN 0007-0920
1532-1827
IngestDate Thu Aug 21 18:33:40 EDT 2025
Thu Jul 10 18:54:43 EDT 2025
Fri Jul 25 09:02:46 EDT 2025
Mon Jul 21 05:27:20 EDT 2025
Mon Jul 21 09:14:37 EDT 2025
Tue Jul 01 01:29:27 EDT 2025
Thu Apr 24 23:09:40 EDT 2025
Fri Feb 21 02:39:44 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Keywords volatile organic metabolites
urine
biomarkers
HS-SPME/GC-qMS
Urine
Drug combination
Metabolite
Biological marker
Exploration
Malignant tumor
Gas chromatography
Cancerology
Solid phase
Mass spectrometry
Cancer
Language English
License http://www.springer.com/tdm
CC BY 4.0
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c505t-5391312c637a2ff176872ca24798fa71c416ee6b83aca5df58637c1408beb3783
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://www.nature.com/articles/bjc.2011.437
PMID 22085842
PQID 921753768
PQPubID 41855
PageCount 11
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_3251876
proquest_miscellaneous_909750831
proquest_journals_921753768
pubmed_primary_22085842
pascalfrancis_primary_25285713
crossref_citationtrail_10_1038_bjc_2011_437
crossref_primary_10_1038_bjc_2011_437
springer_journals_10_1038_bjc_2011_437
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2011-12-06
PublicationDateYYYYMMDD 2011-12-06
PublicationDate_xml – month: 12
  year: 2011
  text: 2011-12-06
  day: 06
PublicationDecade 2010
PublicationPlace London
PublicationPlace_xml – name: London
– name: Basingstoke
– name: England
PublicationTitle British journal of cancer
PublicationTitleAbbrev Br J Cancer
PublicationTitleAlternate Br J Cancer
PublicationYear 2011
Publisher Nature Publishing Group UK
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
References Infante, Schuman, Dement, Huff (CR15) 1994; 26
Jentzmik, Stephan, Miller, Schrader, Erbersdobler, Kristiansen, Lein, Jung (CR17) 2010; 58
Phillips, Cataneo, Ditkoff, Fisher, Greenberg, Gunawardena, Kwon, Rahbari-Oskoui, Wong (CR28) 2003; 9
Qiu, Cai, Su, Chen, Liu, Xu, Ni, Zhao, Cai, Xu, Jia (CR31) 2010; 9
Weisburger, Williams (CR36) 2000; 57
Walker, Mills (CR35) 2001; 306
Barrett, Anderson (CR1) 1993; 7
Deng, Li, Zhang (CR8) 2004; 813
Mazzone (CR22) 2008; 3
Gramolini, Kislinger, Alikhani-Koopaei, Fong, Thompson, Isserlin, Sharma, Oudit, Trivieri, Fagan, Kannan, Higgins, Huedig, Hess, Arab, Seidman, Seidman, Frey, Perry, Backx, Liu, MacLennan, Emili (CR12) 2008; 7
Prado, Marin, Periago (CR30) 2003; 1011
Belda-Iniesta, de Castro Carpeno, Carrasco, Moreno, Casado Saenz, Feliu, Sereno, Garcia Rio, Barriuso, Gonzalez Baron (CR2) 2007; 9
Henneges, Bullinger, Fux, Friese, Seeger, Neubauer, Laufer, Gleiter, Schwab, Zell, Kammerer (CR14) 2009; 9
Greenberg, Lee (CR13) 2007; 13
Minamoto, Mai, Ronai (CR24) 2000; 24
Chikkaveeraiah, Bhirde, Malhotra, Patel, Gutkind, Rusling (CR7) 2009; 81
Gaspar, Lopes (CR10) 2009; 1216
McCulloch, Jezierski, Broffman, Hubbard, Turner, Janecki (CR23) 2006; 5
Chen, Wang, Lv, Yin, Zhao, Lu, Zhang, Xu (CR5) 2009; 650
Jiang, Ma (CR18) 2009; 81
Phillips, Cataneo, Ditkoff, Fisher, Greenberg, Gunawardena, Kwon, Tietje, Wong (CR29) 2006; 99
Ouyang, Chen, Setkova, Pawliszyn (CR27) 2005; 1097
Carrola, Rocha, Barros, Gil, Goodfellow, Carreira, Bernardo, Gomes, Sousa, Carvalho, Duarte (CR3) 2011; 10
Song, Qin, Liu, Xu, Pan, Xiong, Gu, Sun, Chen (CR32) 2010; 67
Xue, Dong, Zhang, Deng, Liu, Wang, Shen (CR37) 2008; 22
Yung (CR39) 2010; 87
Cassiday (CR4) 2006; 78
Deng, Zhang, Li (CR9) 2004; 808
Jemal, Siegel, Xu, Ward (CR16) 2010; 60
Ma, Qin, Liu, Peng, Huang, Zhao, Cheng (CR20) 2009; 54
Yu, Huang, Li, Lin, Hang, He, Huang (CR38) 2009; 81
Musteata, Pawliszyn (CR25) 2007; 26
Sreekumar, Poisson, Rajendiran, Khan, Cao, Yu, Laxman, Mehra, Lonigro, Li, Nyati, Ahsan, Kalyana-Sundaram, Han, Cao, Byun, Omenn, Ghosh, Pennathur, Alexander, Berger, Shuster, Wei, Varambally, Beecher, Chinnaiyan (CR33) 2009; 457
Ullah, Aatif (CR34) 2009; 35
Oliveira, Colaco, Chaves, Guedes-Pinto, De-La-Cruz, Lopes (CR26) 2007; 79
Lauridsen, Hansen, Jaroszewski, Cornett (CR19) 2007; 79
Giardina, Olesik (CR11) 2003; 75
Matsumura, Opiekun, Oka, Vachani, Albelda, Yamazaki, Beauchamp (CR21) 2010; 5
Chen, Xu, Wang, Pan, Lu, Wang, Ying, Chen, Zhang (CR6) 2007; 110
Q Yu (BFbjc2011437_CR38) 2009; 81
M McCulloch (BFbjc2011437_CR23) 2006; 5
Y Jiang (BFbjc2011437_CR18) 2009; 81
J Chen (BFbjc2011437_CR5) 2009; 650
J Carrola (BFbjc2011437_CR3) 2011; 10
Y Qiu (BFbjc2011437_CR31) 2010; 9
G Song (BFbjc2011437_CR32) 2010; 67
YL Ma (BFbjc2011437_CR20) 2009; 54
R Xue (BFbjc2011437_CR37) 2008; 22
AK Greenberg (BFbjc2011437_CR13) 2007; 13
K Matsumura (BFbjc2011437_CR21) 2010; 5
V Walker (BFbjc2011437_CR35) 2001; 306
PA Oliveira (BFbjc2011437_CR26) 2007; 79
C Prado (BFbjc2011437_CR30) 2003; 1011
JC Barrett (BFbjc2011437_CR1) 1993; 7
M Phillips (BFbjc2011437_CR28) 2003; 9
LT Cassiday (BFbjc2011437_CR4) 2006; 78
C Deng (BFbjc2011437_CR8) 2004; 813
PF Infante (BFbjc2011437_CR15) 1994; 26
A Sreekumar (BFbjc2011437_CR33) 2009; 457
F Jentzmik (BFbjc2011437_CR17) 2010; 58
T Minamoto (BFbjc2011437_CR24) 2000; 24
G Ouyang (BFbjc2011437_CR27) 2005; 1097
JH Weisburger (BFbjc2011437_CR36) 2000; 57
BV Chikkaveeraiah (BFbjc2011437_CR7) 2009; 81
PJ Mazzone (BFbjc2011437_CR22) 2008; 3
C Deng (BFbjc2011437_CR9) 2004; 808
TCH Yung (BFbjc2011437_CR39) 2010; 87
C Henneges (BFbjc2011437_CR14) 2009; 9
X Chen (BFbjc2011437_CR6) 2007; 110
A Jemal (BFbjc2011437_CR16) 2010; 60
AO Gramolini (BFbjc2011437_CR12) 2008; 7
M Lauridsen (BFbjc2011437_CR19) 2007; 79
FM Musteata (BFbjc2011437_CR25) 2007; 26
MF Ullah (BFbjc2011437_CR34) 2009; 35
C Belda-Iniesta (BFbjc2011437_CR2) 2007; 9
EM Gaspar (BFbjc2011437_CR10) 2009; 1216
M Giardina (BFbjc2011437_CR11) 2003; 75
M Phillips (BFbjc2011437_CR29) 2006; 99
19344524 - BMC Cancer. 2009;9:104
16484712 - Integr Cancer Ther. 2006 Mar;5(1):30-9
17599760 - Cancer. 2007 Aug 15;110(4):835-44
20117878 - Eur Urol. 2010 Jul;58(1):12-8; discussion 20-1
14518769 - J Chromatogr A. 2003 Sep 5;1011(1-2):125-34
8094618 - Mol Carcinog. 1993;7(1):1-13
18350562 - Rapid Commun Mass Spectrom. 2008 Apr;22(8):1181-6
19212411 - Nature. 2009 Feb 12;457(7231):910-4
20111698 - PLoS One. 2010;5(1):e8819
19775154 - Anal Chem. 2009 Nov 1;81(21):9129-34
15556514 - J Chromatogr B Analyt Technol Biomed Life Sci. 2004 Dec 25;813(1-2):47-52
20121166 - J Proteome Res. 2010 Mar 5;9(3):1627-34
12752626 - Breast J. 2003 May-Jun;9(3):184-91
17594950 - Clin Transl Oncol. 2007 Jun;9(6):364-8
17186634 - Anal Chem. 2006 Dec 1;78(23):7926
18066431 - An Acad Bras Cienc. 2007 Dec;79(4):593-616
18594325 - J Thorac Oncol. 2008 Jul;3(7):774-80
19409642 - Lung Cancer. 2010 Feb;67(2):227-31
21058631 - J Proteome Res. 2011 Jan 7;10(1):221-30
20610543 - CA Cancer J Clin. 2010 Sep-Oct;60(5):277-300
12705592 - Anal Chem. 2003 Apr 1;75(7):1604-14
17534168 - Curr Opin Pulm Med. 2007 Jul;13(4):249-55
18976770 - J Chromatogr A. 2009 Apr 3;1216(14):2762-7
10966505 - Toxicol Sci. 2000 Sep;57(1):4-5
18056057 - Mol Cell Proteomics. 2008 Mar;7(3):519-33
19408955 - Anal Chem. 2009 Jun 1;81(11):4343-8
16502014 - Breast Cancer Res Treat. 2006 Sep;99(1):19-21
16298180 - J Chromatogr A. 2005 Dec 2;1097(1-2):9-16
10757118 - Cancer Detect Prev. 2000;24(1):1-12
17263352 - Anal Chem. 2007 Feb 1;79(3):1181-6
19062197 - Cancer Treat Rev. 2009 May;35(3):193-200
19720165 - Anal Chim Acta. 2009 Sep 14;650(1):3-9
19117128 - Dig Dis Sci. 2009 Dec;54(12):2655-62
11282094 - Clin Chim Acta. 2001 Apr;306(1-2):51-61
15261821 - J Chromatogr B Analyt Technol Biomed Life Sci. 2004 Sep 5;808(2):269-77
7810554 - Am J Ind Med. 1994 Oct;26(4):559-84
19552424 - Anal Chem. 2009 Aug 1;81(15):6474-80
References_xml – volume: 35
  start-page: 193
  year: 2009
  end-page: 200
  ident: CR34
  article-title: The footprints of cancer development: cancer biomarkers
  publication-title: Cancer Treat Rev
  doi: 10.1016/j.ctrv.2008.10.004
– volume: 99
  start-page: 19
  year: 2006
  end-page: 21
  ident: CR29
  article-title: Prediction of breast cancer using volatile biomarkers in the breath
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-006-9176-1
– volume: 3
  start-page: 774
  year: 2008
  end-page: 780
  ident: CR22
  article-title: Analysis of volatile organic compounds in the exhaled breath for the diagnosis of lung cancer
  publication-title: J Thorac Oncol
  doi: 10.1097/JTO.0b013e31817c7439
– volume: 24
  start-page: 1
  year: 2000
  end-page: 12
  ident: CR24
  article-title: K-ras mutation: early detection in molecular diagnosis and risk assessment of colorectal, pancreas, and lung cancers-a review
  publication-title: Cancer Detect Prev
– volume: 22
  start-page: 1181
  year: 2008
  end-page: 1186
  ident: CR37
  article-title: Investigation of volatile biomarkers in liver cancer blood using solid-phase microextraction and gas chromatography/mass spectrometry
  publication-title: Rapid Commun Mass Spectrom
  doi: 10.1002/rcm.3466
– volume: 81
  start-page: 9129
  year: 2009
  end-page: 9134
  ident: CR7
  article-title: Single-wall carbon nanotube forest arrays for immunoelectrochemical measurement of four protein biomarkers for prostate cancer
  publication-title: Anal Chem
  doi: 10.1021/ac9018022
– volume: 87
  start-page: 122
  year: 2010
  end-page: 123
  ident: CR39
  article-title: Is that lung cancer I smell in your breath?
  publication-title: Univ Toronto Med J
– volume: 5
  start-page: 30
  year: 2006
  end-page: 39
  ident: CR23
  article-title: Diagnostic accuracy of canine scent detection in early- and late-stage lung and breast cancers
  publication-title: Integr Cancer Ther
  doi: 10.1177/1534735405285096
– volume: 78
  start-page: 7926
  year: 2006
  ident: CR4
  article-title: Weighing ribosomes with MS
  publication-title: Anal Chem
– volume: 13
  start-page: 249
  year: 2007
  end-page: 255
  ident: CR13
  article-title: Biomarkers for lung cancer: clinical uses
  publication-title: Curr Opin Pulm Med
  doi: 10.1097/MCP.0b013e32819f8f06
– volume: 26
  start-page: 559
  year: 1994
  end-page: 584
  ident: CR15
  article-title: Fibrous glass and cancer
  publication-title: Am J Ind Med
  doi: 10.1002/ajim.4700260413
– volume: 5
  start-page: e8819
  year: 2010
  ident: CR21
  article-title: Urinary volatile compounds as biomarkers for lung cancer: a proof of principle study using odor signatures in mouse models of lung cancer
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0008819
– volume: 81
  start-page: 4343
  year: 2009
  end-page: 4348
  ident: CR38
  article-title: Applicability of standardless semiquantitative analysis of solids by high-irradiance laser ionization orthogonal time-of-fight mass spectrometry
  publication-title: Anal Chem
  doi: 10.1021/ac900141z
– volume: 9
  start-page: 184
  year: 2003
  end-page: 191
  ident: CR28
  article-title: Volatile markers of breast cancer in the breath
  publication-title: Breast J
  doi: 10.1046/j.1524-4741.2003.09309.x
– volume: 1011
  start-page: 125
  year: 2003
  end-page: 134
  ident: CR30
  article-title: Application of solid-phase microextraction and gas chromatography-mass spectrometry to the determination of volatile organic compounds in end-exhaled breath samples
  publication-title: J Chromatogr A
  doi: 10.1016/S0021-9673(03)01103-8
– volume: 457
  start-page: 910
  year: 2009
  end-page: 914
  ident: CR33
  article-title: Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression
  publication-title: Nature
  doi: 10.1038/nature07762
– volume: 81
  start-page: 6474
  year: 2009
  end-page: 6480
  ident: CR18
  article-title: A fast capillary electrophoresis method for separation and quantification of modified nucleosides in urinary samples
  publication-title: Anal Chem
  doi: 10.1021/ac901216n
– volume: 26
  start-page: 36
  year: 2007
  end-page: 45
  ident: CR25
  article-title: Bioanalytical applications of solid-phase microextraction
  publication-title: Trends Anal Chem
  doi: 10.1016/j.trac.2006.11.003
– volume: 110
  start-page: 835
  year: 2007
  end-page: 844
  ident: CR6
  article-title: A study of the volatile organic compounds exhaled by lung cancer cells for breath diagnosis
  publication-title: Cancer
  doi: 10.1002/cncr.22844
– volume: 58
  start-page: 12
  year: 2010
  end-page: 18
  ident: CR17
  article-title: Sarcosine in urine after digital rectal examination fails as a marker in prostate cancer detection and identification of aggressive tumours
  publication-title: Eur Urol
  doi: 10.1016/j.eururo.2010.01.035
– volume: 9
  start-page: 1627
  year: 2010
  end-page: 1634
  ident: CR31
  article-title: Urinary metabonomic study on colorectal cancer
  publication-title: J Proteome Res
  doi: 10.1021/pr901081y
– volume: 79
  start-page: 593
  year: 2007
  end-page: 616
  ident: CR26
  article-title: Chemical carcinogenesis
  publication-title: An Acad Bras Cienc
  doi: 10.1590/S0001-37652007000400004
– volume: 10
  start-page: 221
  year: 2011
  end-page: 230
  ident: CR3
  article-title: Metabolic signatures of lung cancer in biofluids: NMR-based metabonomics of urine
  publication-title: J Proteome Res
  doi: 10.1021/pr100899x
– volume: 54
  start-page: 2655
  year: 2009
  end-page: 2662
  ident: CR20
  article-title: Ultra-high performance liquid chromatography-mass spectrometry for the metabolomic analysis of urine in colorectal cancer
  publication-title: Dig Dis Sci
  doi: 10.1007/s10620-008-0665-4
– volume: 75
  start-page: 1604
  year: 2003
  end-page: 1614
  ident: CR11
  article-title: Application of low-temperature glassy carbon-coated macrofibers for solid-phase microextraction analysis of simulated breath volatiles
  publication-title: Anal Chem
  doi: 10.1021/ac025984k
– volume: 60
  start-page: 277
  year: 2010
  end-page: 300
  ident: CR16
  article-title: Cancer statistics, 2010
  publication-title: CA Cancer J Clin
  doi: 10.3322/caac.20073
– volume: 813
  start-page: 47
  year: 2004
  end-page: 52
  ident: CR8
  article-title: Development of headspace solid-phase microextraction with on-fiber derivatization for determination of hexanal and heptanal in human blood
  publication-title: J Chromatogr B
  doi: 10.1016/j.jchromb.2004.09.007
– volume: 306
  start-page: 51
  year: 2001
  end-page: 61
  ident: CR35
  article-title: Urine 4-heptanone: a beta-oxidation product of 2-ethylhexanoic acid from plasticisers
  publication-title: Clin Chim Acta
  doi: 10.1016/S0009-8981(01)00390-4
– volume: 9
  start-page: 364
  year: 2007
  end-page: 368
  ident: CR2
  article-title: New screening method for lung cancer by detecting volatile organic compounds in breath
  publication-title: Clin Transl Oncol
  doi: 10.1007/s12094-007-0068-6
– volume: 57
  start-page: 4
  year: 2000
  end-page: 5
  ident: CR36
  article-title: The distinction between genotoxic and epigenetic carcinogens and implication for cancer risk
  publication-title: Toxicol Sci
  doi: 10.1093/toxsci/57.1.4
– volume: 650
  start-page: 3
  year: 2009
  end-page: 9
  ident: CR5
  article-title: Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations
  publication-title: Anal Chim Acta
  doi: 10.1016/j.aca.2009.03.039
– volume: 1216
  start-page: 2762
  year: 2009
  end-page: 2767
  ident: CR10
  article-title: Simple gas chromatographic method for furfural analysis
  publication-title: J Chromatogr A
  doi: 10.1016/j.chroma.2008.10.049
– volume: 9
  start-page: 104
  year: 2009
  ident: CR14
  article-title: Prediction of breast cancer by profiling of urinary RNA metabolites using support vector machine-based feature selection
  publication-title: BMC Cancer
  doi: 10.1186/1471-2407-9-104
– volume: 79
  start-page: 1181
  year: 2007
  end-page: 1186
  ident: CR19
  article-title: Human urine as test material in H NMR-based metabonomics: recommendations for sample preparation and storage
  publication-title: Anal Chem
  doi: 10.1021/ac061354x
– volume: 67
  start-page: 227
  year: 2010
  end-page: 231
  ident: CR32
  article-title: Quantitative breath analysis of volatile organic compounds of lung cancer patients
  publication-title: Lung Cancer
  doi: 10.1016/j.lungcan.2009.03.029
– volume: 1097
  start-page: 9
  year: 2005
  end-page: 16
  ident: CR27
  article-title: Calibration of solid-phase micro-extraction for quantitative analysis by gas chromatography
  publication-title: J Chromatogr A
  doi: 10.1016/j.chroma.2005.08.017
– volume: 7
  start-page: 519
  year: 2008
  end-page: 533
  ident: CR12
  article-title: Comparative proteomics profiling of a phospholamban mutant mouse model of dilated cardiomyopathy reveals progressive intracellular stress responses
  publication-title: Mol Cell Proteomics
  doi: 10.1074/mcp.M700245-MCP200
– volume: 7
  start-page: 1
  year: 1993
  end-page: 13
  ident: CR1
  article-title: Molecular mechanisms of carcinogenesis in humans and rodents
  publication-title: Mol Carcinogen
  doi: 10.1002/mc.2940070102
– volume: 808
  start-page: 269
  year: 2004
  end-page: 277
  ident: CR9
  article-title: Investigation of volatile biomarkers in lung cancer blood using solid-phase microextraction and capillary gas chromatography-mass spectrometry
  publication-title: J Chromatogr B
  doi: 10.1016/j.jchromb.2004.05.015
– volume: 3
  start-page: 774
  year: 2008
  ident: BFbjc2011437_CR22
  publication-title: J Thorac Oncol
  doi: 10.1097/JTO.0b013e31817c7439
– volume: 5
  start-page: 30
  year: 2006
  ident: BFbjc2011437_CR23
  publication-title: Integr Cancer Ther
  doi: 10.1177/1534735405285096
– volume: 808
  start-page: 269
  year: 2004
  ident: BFbjc2011437_CR9
  publication-title: J Chromatogr B
  doi: 10.1016/j.jchromb.2004.05.015
– volume: 58
  start-page: 12
  year: 2010
  ident: BFbjc2011437_CR17
  publication-title: Eur Urol
  doi: 10.1016/j.eururo.2010.01.035
– volume: 457
  start-page: 910
  year: 2009
  ident: BFbjc2011437_CR33
  publication-title: Nature
  doi: 10.1038/nature07762
– volume: 79
  start-page: 1181
  year: 2007
  ident: BFbjc2011437_CR19
  publication-title: Anal Chem
  doi: 10.1021/ac061354x
– volume: 26
  start-page: 36
  year: 2007
  ident: BFbjc2011437_CR25
  publication-title: Trends Anal Chem
  doi: 10.1016/j.trac.2006.11.003
– volume: 22
  start-page: 1181
  year: 2008
  ident: BFbjc2011437_CR37
  publication-title: Rapid Commun Mass Spectrom
  doi: 10.1002/rcm.3466
– volume: 67
  start-page: 227
  year: 2010
  ident: BFbjc2011437_CR32
  publication-title: Lung Cancer
  doi: 10.1016/j.lungcan.2009.03.029
– volume: 650
  start-page: 3
  year: 2009
  ident: BFbjc2011437_CR5
  publication-title: Anal Chim Acta
  doi: 10.1016/j.aca.2009.03.039
– volume: 60
  start-page: 277
  year: 2010
  ident: BFbjc2011437_CR16
  publication-title: CA Cancer J Clin
  doi: 10.3322/caac.20073
– volume: 813
  start-page: 47
  year: 2004
  ident: BFbjc2011437_CR8
  publication-title: J Chromatogr B
  doi: 10.1016/j.jchromb.2004.09.007
– volume: 81
  start-page: 4343
  year: 2009
  ident: BFbjc2011437_CR38
  publication-title: Anal Chem
  doi: 10.1021/ac900141z
– volume: 5
  start-page: e8819
  year: 2010
  ident: BFbjc2011437_CR21
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0008819
– volume: 7
  start-page: 519
  year: 2008
  ident: BFbjc2011437_CR12
  publication-title: Mol Cell Proteomics
  doi: 10.1074/mcp.M700245-MCP200
– volume: 81
  start-page: 6474
  year: 2009
  ident: BFbjc2011437_CR18
  publication-title: Anal Chem
  doi: 10.1021/ac901216n
– volume: 7
  start-page: 1
  year: 1993
  ident: BFbjc2011437_CR1
  publication-title: Mol Carcinogen
  doi: 10.1002/mc.2940070102
– volume: 26
  start-page: 559
  year: 1994
  ident: BFbjc2011437_CR15
  publication-title: Am J Ind Med
  doi: 10.1002/ajim.4700260413
– volume: 78
  start-page: 7926
  year: 2006
  ident: BFbjc2011437_CR4
  publication-title: Anal Chem
– volume: 1216
  start-page: 2762
  year: 2009
  ident: BFbjc2011437_CR10
  publication-title: J Chromatogr A
  doi: 10.1016/j.chroma.2008.10.049
– volume: 79
  start-page: 593
  year: 2007
  ident: BFbjc2011437_CR26
  publication-title: An Acad Bras Cienc
  doi: 10.1590/S0001-37652007000400004
– volume: 306
  start-page: 51
  year: 2001
  ident: BFbjc2011437_CR35
  publication-title: Clin Chim Acta
  doi: 10.1016/S0009-8981(01)00390-4
– volume: 13
  start-page: 249
  year: 2007
  ident: BFbjc2011437_CR13
  publication-title: Curr Opin Pulm Med
  doi: 10.1097/MCP.0b013e32819f8f06
– volume: 10
  start-page: 221
  year: 2011
  ident: BFbjc2011437_CR3
  publication-title: J Proteome Res
  doi: 10.1021/pr100899x
– volume: 110
  start-page: 835
  year: 2007
  ident: BFbjc2011437_CR6
  publication-title: Cancer
  doi: 10.1002/cncr.22844
– volume: 9
  start-page: 184
  year: 2003
  ident: BFbjc2011437_CR28
  publication-title: Breast J
  doi: 10.1046/j.1524-4741.2003.09309.x
– volume: 9
  start-page: 1627
  year: 2010
  ident: BFbjc2011437_CR31
  publication-title: J Proteome Res
  doi: 10.1021/pr901081y
– volume: 9
  start-page: 104
  year: 2009
  ident: BFbjc2011437_CR14
  publication-title: BMC Cancer
  doi: 10.1186/1471-2407-9-104
– volume: 35
  start-page: 193
  year: 2009
  ident: BFbjc2011437_CR34
  publication-title: Cancer Treat Rev
  doi: 10.1016/j.ctrv.2008.10.004
– volume: 9
  start-page: 364
  year: 2007
  ident: BFbjc2011437_CR2
  publication-title: Clin Transl Oncol
  doi: 10.1007/s12094-007-0068-6
– volume: 99
  start-page: 19
  year: 2006
  ident: BFbjc2011437_CR29
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-006-9176-1
– volume: 81
  start-page: 9129
  year: 2009
  ident: BFbjc2011437_CR7
  publication-title: Anal Chem
  doi: 10.1021/ac9018022
– volume: 87
  start-page: 122
  year: 2010
  ident: BFbjc2011437_CR39
  publication-title: Univ Toronto Med J
– volume: 75
  start-page: 1604
  year: 2003
  ident: BFbjc2011437_CR11
  publication-title: Anal Chem
  doi: 10.1021/ac025984k
– volume: 1097
  start-page: 9
  year: 2005
  ident: BFbjc2011437_CR27
  publication-title: J Chromatogr A
  doi: 10.1016/j.chroma.2005.08.017
– volume: 1011
  start-page: 125
  year: 2003
  ident: BFbjc2011437_CR30
  publication-title: J Chromatogr A
  doi: 10.1016/S0021-9673(03)01103-8
– volume: 54
  start-page: 2655
  year: 2009
  ident: BFbjc2011437_CR20
  publication-title: Dig Dis Sci
  doi: 10.1007/s10620-008-0665-4
– volume: 24
  start-page: 1
  year: 2000
  ident: BFbjc2011437_CR24
  publication-title: Cancer Detect Prev
– volume: 57
  start-page: 4
  year: 2000
  ident: BFbjc2011437_CR36
  publication-title: Toxicol Sci
  doi: 10.1093/toxsci/57.1.4
– reference: 12705592 - Anal Chem. 2003 Apr 1;75(7):1604-14
– reference: 16502014 - Breast Cancer Res Treat. 2006 Sep;99(1):19-21
– reference: 19720165 - Anal Chim Acta. 2009 Sep 14;650(1):3-9
– reference: 18066431 - An Acad Bras Cienc. 2007 Dec;79(4):593-616
– reference: 20111698 - PLoS One. 2010;5(1):e8819
– reference: 17599760 - Cancer. 2007 Aug 15;110(4):835-44
– reference: 19212411 - Nature. 2009 Feb 12;457(7231):910-4
– reference: 18350562 - Rapid Commun Mass Spectrom. 2008 Apr;22(8):1181-6
– reference: 19344524 - BMC Cancer. 2009;9:104
– reference: 16298180 - J Chromatogr A. 2005 Dec 2;1097(1-2):9-16
– reference: 20117878 - Eur Urol. 2010 Jul;58(1):12-8; discussion 20-1
– reference: 19775154 - Anal Chem. 2009 Nov 1;81(21):9129-34
– reference: 15556514 - J Chromatogr B Analyt Technol Biomed Life Sci. 2004 Dec 25;813(1-2):47-52
– reference: 18594325 - J Thorac Oncol. 2008 Jul;3(7):774-80
– reference: 19117128 - Dig Dis Sci. 2009 Dec;54(12):2655-62
– reference: 16484712 - Integr Cancer Ther. 2006 Mar;5(1):30-9
– reference: 7810554 - Am J Ind Med. 1994 Oct;26(4):559-84
– reference: 17534168 - Curr Opin Pulm Med. 2007 Jul;13(4):249-55
– reference: 15261821 - J Chromatogr B Analyt Technol Biomed Life Sci. 2004 Sep 5;808(2):269-77
– reference: 19062197 - Cancer Treat Rev. 2009 May;35(3):193-200
– reference: 20610543 - CA Cancer J Clin. 2010 Sep-Oct;60(5):277-300
– reference: 10966505 - Toxicol Sci. 2000 Sep;57(1):4-5
– reference: 8094618 - Mol Carcinog. 1993;7(1):1-13
– reference: 14518769 - J Chromatogr A. 2003 Sep 5;1011(1-2):125-34
– reference: 17263352 - Anal Chem. 2007 Feb 1;79(3):1181-6
– reference: 21058631 - J Proteome Res. 2011 Jan 7;10(1):221-30
– reference: 19408955 - Anal Chem. 2009 Jun 1;81(11):4343-8
– reference: 19409642 - Lung Cancer. 2010 Feb;67(2):227-31
– reference: 19552424 - Anal Chem. 2009 Aug 1;81(15):6474-80
– reference: 17186634 - Anal Chem. 2006 Dec 1;78(23):7926
– reference: 10757118 - Cancer Detect Prev. 2000;24(1):1-12
– reference: 11282094 - Clin Chim Acta. 2001 Apr;306(1-2):51-61
– reference: 18976770 - J Chromatogr A. 2009 Apr 3;1216(14):2762-7
– reference: 12752626 - Breast J. 2003 May-Jun;9(3):184-91
– reference: 17594950 - Clin Transl Oncol. 2007 Jun;9(6):364-8
– reference: 18056057 - Mol Cell Proteomics. 2008 Mar;7(3):519-33
– reference: 20121166 - J Proteome Res. 2010 Mar 5;9(3):1627-34
SSID ssj0009087
Score 2.4702263
Snippet Background: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially...
Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich...
SourceID pubmedcentral
proquest
pubmed
pascalfrancis
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1894
SubjectTerms 631/1647/2196/2111
692/699/67/1857
Aged
Biological and medical sciences
Biomarkers
Biomarkers, Tumor - urine
Biomedical and Life Sciences
Biomedicine
Cancer Research
Chromatography
Discriminant analysis
Drug Resistance
Epidemiology
Female
Gas Chromatography-Mass Spectrometry - methods
Humans
Limit of Detection
Lung cancer
Male
Mass spectrometry
Medical research
Medical sciences
Metabolism
Metabolites
Middle Aged
Molecular Diagnostics
Molecular Medicine
Neoplasms - urine
Oncology
Scientific imaging
Tumors
Urine
Viruses
Volatile Organic Compounds - urine
SummonAdditionalLinks – databaseName: Springer Nature OA Free Journals
  dbid: C6C
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1fb9QwDLfGkBASQvwdZTDlAXiBijZJm_QRnZgmpPHEpL1VaZpyh3btqe0e7jvtQ85O2zsKQ-K1cdOkdmI7sX8GeGfR9Y-dkoQZakNZuig0USnDMhVCaVTRxiPwnX9Pzy7kt8vk8gA-TbkwPmjfQ1r6bXqKDvtc_LID3qYU6h7cJ9B2crUW6WIPsRvpASGTDt8yHo1h7pHQs7dnCujRxnT4L6qhiMVdVubfwZJ_3Jh6RXT6BB6PFiT7Moz5KRy4-hk8OB_vyJ_DzW_QGU3NmorRgbpptwx3Inx25dhQysmytetRBigLuWOmY5ump9gh7NySLLSMcvMpfKftWLFlKKWrMtwsUe-xNcXx4b7eDnkRbFUz_JHoZQ8fpdNd9hO7tMsWu-hHXOxwjaY688mdhJLQt9sXcHH69cfiLBxrMoQWbaU-TEQWi5jbVCjDqypGb0Vxa7hUma6Mii0aeM6lhRbGmqSsEo2UFr04XaDbrrR4CYd1U7tXwAorU4OvxQX6ZIksDVepqqKi4mUmdSUC-DgxKrcjYDnVzbjK_cW50DmyNSe25sjWAN7vqDcDUMc_6E5mPN8R84TrBF32AI4nIcjH9dzlGSdEU5xsAGzXiguRbldM7ZprJIkyRdj6cQBHg8Tsu6ZCqFryANRMlnYEhPE9b6lXS4_1LdD-RIUVwIdJ6vaDumt6r_-X8Bge-uNxisxJ38Bh3167t2hf9cWJX1a3IVcn-g
  priority: 102
  providerName: Springer Nature
Title Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry
URI https://link.springer.com/article/10.1038/bjc.2011.437
https://www.ncbi.nlm.nih.gov/pubmed/22085842
https://www.proquest.com/docview/921753768
https://www.proquest.com/docview/909750831
https://pubmed.ncbi.nlm.nih.gov/PMC3251876
Volume 105
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3db9MwED_BJiEkhPgmDCo_AC8oWmI7sfOEoNo0IW1CiEl9ixzHoZ3WJCTZQ_-n_ZG7S9J2hcFLpTZXN8397Pvw-XcA7y2G_qFTkjhDrS9zF_gmyKWfx0IojSba9Ax8p2fxybn8NotmY21OO5ZVrtfEfqHOK0s58sOEE6ckOsef698-NY2izdWxg8Z92CfmMgK1mqkt526gB8pMysYlPBjr3gOhD7MLO9B3SmqAfssiPapNiw-nGLpa3OV2_l09-ccWam-Zjp_A49GlZF8GDDyFe658Bg9Ox03z53B9i0ujKllVMMqwm2bFcGnCzy4dG3o7WbZ0HYKCjiW3zLSsrjoqJsLBLYGjYXRYn-p5mpZlK4awXeR-PUdDyJZU2IcLfTMclGCLkuFzxbB7-FFK97JfOKSdNzhENxJl-0v03Vl_2pNoE7pm9QLOj49-Tk_8sUmDb9F56vxIJKEIuY2FMrwoQtSQ4tZwqRJdGBVa9PicizMtjDVRXkQaJS2GdTrDOF5p8RL2yqp0r4FlVsYGvxZmGKRFMjdcxaoIsoLnidSF8ODTWlGpHRnMqZHGZdrvpAudolpTUmuKavXgw0a6Hpg7_iE32dH5RphHXEcYw3twsAZBOk7wNt3A0QO2uYozk7ZbTOmqKxQJEkVk-6EHrwbEbIemzqhacg_UDpY2AkT6vXulXMx78m-BDilaMA8-rlG3vam7_t6b_979ATzsk-RUnxO_hb2uuXLv0Mvqskk_l_BVT8MJ7H89Ovv-A99N4-kN5IkvIg
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZKkQAJId6EQvGBckFRE9uJnQNCqFBtabenVuotOI7DLuomIUmF9j_Bf2Qmr-1C4dZrMpkkmrHn6W8IeW0g9PetFIgZalyRWs_VXircNORcKjDRukXgmx6Hk1Px-Sw42yC_hrMw2FY57IntRp0WBnPkuxFDTElwjt-X310cGoXF1WGCRqcVh3b5AyK2-t3BRxDvDmP7n072Jm4_VMA1YOwbN-CRz31mQi41yzIfOEpmNBMyUpmWvgEPxdowUVwbHaRZoIDSQBiiEog7peLA9wa5KeBXcEGpvVVHSeSpDqITs38R8_o-e4-r3eSb6eBCBQ5cv2QB75a6BmFk3RSNq9zcv7s1_yjZtpZw_z6517uw9EOncw_Ihs0fklvTvkj_iPy8hN1R5LTIKGb0dbWksBXCtXNLu1lShi5sA0qIx6BrqmtaFg02LwFzg8pYUQQHwP6hqqbJksIymaduOQPDSxfYSAiGpeoOZtB5TkGOEOZ3L8X0Mv0KLM2sAhZND8ztLiBWoO3pUoRpaKrlY3J6LfJ7QjbzIrfPCE2MCDU85icQFAYi1UyGMvOSjKWRUBl3yNtBULHpEdNxcMd53FbuuYpBrDGKNQaxOmRnpC47pJB_0G2vyXwkZgFTgfThtVuDEsT9hlLHo_o7hI53YSfA8o7ObXEBJF4kEdzfd8jTTmNWrHESqxLMIXJNl0YCBBlfv5PPZy3YOAcHGCymQ94MWrf6qKt-7_l_v_4VuT05mR7FRwfHh1vkTpugx96g8AXZbKoL-xI8vCbZbtcVJV-ueyH_BlXcZ0U
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtRADLZKkSokhPgnFMocKBcUbTKTZCYHhFDLqqW04kCl3sJkMmEXdZMlSYX2nXgB3g47P7tdKNx6ixKvk5XtsT1jfwZ4aTD1960MCDPUuEFmPVd7WeBmkRBSoYvWLQLf8Ul0cBp8OAvPNuDX0AtDZZXDmtgu1FlpaI98FHPClMTgeJT3VRGf9sdv599dGiBFB63DNI1OQ47s4gdmb_Wbw30U9S7n4_ef9w7cfsCAa9DxN24oYl_43ERCap7nPnKX3GgeyFjlWvoGoxVro1QJbXSY5aFCSoMpiUoxB5VKIN8bcFPSJTWp762qS2JPdXCdtBMYc6-vufeEGqXfTAcdGtDw9Uve8PZc1yiYvJuocVXI-3fl5h_Ht61XHN-FO304y951-ncPNmxxH7aO-wP7B_DzEo5HWbAyZ7S7r6sFw2UR751b1s2VMmxmG1RIaomuma7ZvGyokAmZG1LMihFQANUSVTVLFwxNZpq58wk6YTajokIUVdU1abBpwVCmmPJ3L6WtZvYVWZpJhSyaHqTbnWHewNpOU4JsaKrFQzi9Fvk9gs2iLOwTYKkJIo0_81NMEMMg01xGMvfSnGdxoHLhwOtBUInp0dNpiMd50p7iC5WgWBMSa4JidWB3ST3vUEP-QbezJvMlMQ-5CqWPr90elCDpF5c6WZqCA2z5FFcFOurRhS0vkMSLJQH9-w487jRmxZqmsqqAOyDXdGlJQIDj60-K6aQFHhcYDKP3dODVoHWrj7rq7z3979e_gC004eTj4cnRNtxq9-qpTCh6BptNdWGfY7DXpDutWTH4ct12_Bvgw2t7
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Investigation+of+urinary+volatile+organic+metabolites+as+potential+cancer+biomarkers+by+solid-phase+microextraction+in+combination+with+gas+chromatography-mass+spectrometry&rft.jtitle=British+journal+of+cancer&rft.au=Silva%2C+C+L&rft.au=Passos%2C+M&rft.au=C%C3%A2mara%2C+J+S&rft.date=2011-12-06&rft.eissn=1532-1827&rft.volume=105&rft.issue=12&rft.spage=1894&rft_id=info:doi/10.1038%2Fbjc.2011.437&rft_id=info%3Apmid%2F22085842&rft.externalDocID=22085842
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0007-0920&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0007-0920&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0007-0920&client=summon