Sequencing of cancer cell subpopulations identifies micrometastases in a bladder cancer patient
Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecu...
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Published in | Oncotarget Vol. 8; no. 28; pp. 45619 - 45625 |
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Language | English |
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11.07.2017
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Abstract | Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis.
We combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy.
Mean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations.
Our analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology. |
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AbstractList | Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis.
We combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy.
Mean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations.
Our analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology. PURPOSEPathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis.EXPERIMENTAL DESIGNWe combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy.RESULTSMean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations.CONCLUSIONSOur analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology. |
Author | Prado, Kris Chin, Arnold I Zhang, Kelvin X Pellegrini, Matteo |
AuthorAffiliation | 1 Department of Urology, UCLA, Los Angeles, CA 90095, USA 5 Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA 3 Department of Molecular, Cell, and Developmental Biology, UCLA, Los Angeles, CA 90095, USA 4 Broad Stem Cell Research Center, UCLA, Los Angeles, CA 90095, USA 2 Merck Sharp & Dohme Co., Computational Genomics and Informatics, Boston, MA 02210, USA |
AuthorAffiliation_xml | – name: 1 Department of Urology, UCLA, Los Angeles, CA 90095, USA – name: 4 Broad Stem Cell Research Center, UCLA, Los Angeles, CA 90095, USA – name: 3 Department of Molecular, Cell, and Developmental Biology, UCLA, Los Angeles, CA 90095, USA – name: 5 Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA – name: 2 Merck Sharp & Dohme Co., Computational Genomics and Informatics, Boston, MA 02210, USA |
Author_xml | – sequence: 1 givenname: Kris surname: Prado fullname: Prado, Kris organization: Department of Urology, UCLA, Los Angeles, CA 90095, USA – sequence: 2 givenname: Kelvin X surname: Zhang fullname: Zhang, Kelvin X organization: Merck Sharp & Dohme Co., Computational Genomics and Informatics, Boston, MA 02210, USA – sequence: 3 givenname: Matteo surname: Pellegrini fullname: Pellegrini, Matteo organization: Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA – sequence: 4 givenname: Arnold I surname: Chin fullname: Chin, Arnold I organization: Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA |
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CitedBy_id | crossref_primary_10_3390_jcm9020368 crossref_primary_10_1002_ags3_12576 crossref_primary_10_1038_s41598_021_03333_5 crossref_primary_10_3390_cancers13122996 crossref_primary_10_1007_s00018_018_2924_7 crossref_primary_10_1016_j_canlet_2019_12_006 crossref_primary_10_1038_s41598_017_11291_0 |
Cites_doi | 10.1038/nm.4055 10.1073/pnas.0906549106 10.1186/1471-2407-14-646 10.1016/j.ccr.2010.01.022 10.1056/NEJMoa060992 10.1073/pnas.1120605109 10.1016/j.eururo.2012.02.028 10.1016/j.stem.2014.02.006 10.1073/pnas.1518007112 10.1056/NEJMoa021735 10.1172/JCI70935 10.1097/PDM.0b013e31803278ee 10.1038/nature13904 10.1016/S1470-2045(14)71160-X 10.1038/nature14034 10.1073/pnas.0506580102 10.1056/NEJMoa050434 10.1172/JCI70354 10.1158/1078-0432.CCR-04-2297 10.1038/nature15260 |
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Keywords | cancer initiating cells next-generation sequencing bladder cancer micrometastases pathologic staging |
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SubjectTerms | Alleles Biomarkers Female Gene Frequency Genetic Variation Humans Lymph Nodes - pathology Lymphatic Metastasis Male Middle Aged Neoplasm Micrometastasis Research Paper Urinary Bladder Neoplasms - genetics Urinary Bladder Neoplasms - metabolism Urinary Bladder Neoplasms - pathology Whole Exome Sequencing |
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Title | Sequencing of cancer cell subpopulations identifies micrometastases in a bladder cancer patient |
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