Comprehensive analysis of the interaction microbiome and prostate cancer: an initial exploration from multi-cohort metagenome and GWAS studies
Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the micro...
Saved in:
Published in | Journal of translational medicine Vol. 23; no. 1; pp. 130 - 12 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
29.01.2025
BioMed Central BMC |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment.
We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer.
In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome.
With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. |
---|---|
AbstractList | Abstract Introduction Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment. Methods We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer. Results In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome. Conclusion With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment. We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer. In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome. With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment.INTRODUCTIONProstate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment.We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer.METHODSWe mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer.In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome.RESULTSIn the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome.With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level.CONCLUSIONWith the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment. We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer. In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome. With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. Introduction Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate microbiome was challenged. Although there still are some arguments, an escalating number of researchers are shifting their focus toward the microbiome within the prostate tumor environment. Methods We mined the data of the microbiome extracted from the metagenome, and it offers a broader taxonomic coverage and accurate functional profiling. We used Kraken2, a mapping tool, to mine the gut microbiota of prostate cancer patients. A two-sample Mendelian Randomization was conducted to reflect the association between gut microbiome and cancer. Results In the study, we found the consistency of the special intratumor microbiome of both non-metastatic tumors and metastatic tumors. And we dig the gut microbiome in patients with different treatments. We found that some microbiotas may be associated with prostate cancer progression and a special microbiome in metastatic prostate cancer may exist. The anti-androgen therapy can significantly change both the intratumor and gut microbiome. Conclusion With the progression and metastasis of prostate cancer, some intratumor microbiome changes. And anti-androgen influences both the intratumor and gut microbiome. Our discovery may help researchers further understand the progression, metastasis, and resistance of prostate cancer from the perspective of microbiome level. Keywords: Prostate cancer, Microbiome, Gut, Treatment, Androgen |
ArticleNumber | 130 |
Audience | Academic |
Author | Peng, Hao Liu, Cheng-Zhi Xiang, Jia-Cheng Wang, Shao-Gang Ye, Gui-Chen Miao, Ling-Tao Xia, Qi-Dong |
Author_xml | – sequence: 1 givenname: Gui-Chen surname: Ye fullname: Ye, Gui-Chen – sequence: 2 givenname: Hao surname: Peng fullname: Peng, Hao – sequence: 3 givenname: Jia-Cheng surname: Xiang fullname: Xiang, Jia-Cheng – sequence: 4 givenname: Ling-Tao surname: Miao fullname: Miao, Ling-Tao – sequence: 5 givenname: Cheng-Zhi surname: Liu fullname: Liu, Cheng-Zhi – sequence: 6 givenname: Shao-Gang orcidid: 0000-0002-3206-1495 surname: Wang fullname: Wang, Shao-Gang – sequence: 7 givenname: Qi-Dong orcidid: 0000-0002-2278-1122 surname: Xia fullname: Xia, Qi-Dong |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39881417$$D View this record in MEDLINE/PubMed |
BookMark | eNptkstu1DAUhiNURC_wAiyQJTZsUmwnjh02aDSCUqkSC0AsrRP7ZMZVYg-2p2pfgmfGM9NWrYSycHz8-fPtP62OfPBYVW8ZPWdMdR8T430na8rbmoq-kbV8UZ2wVva1ULI7evJ_XJ2mdE0LKdr-VXXc9EqxlsmT6u8yzJuIa_TJ3SABD9NdcomEkeQ1EuczRjDZBU9mZ2IYXJh3mCWbGFKGjMSANxg_lWLBXXYwEbzdTCHCftoYw0zm7ZRdbcI6xExmzLBC_yC6-L34QVLeWofpdfVyhCnhm_v2rPr19cvP5bf66vvF5XJxVZtWyVwLLhvKRCcN8NFKZSVXyshBIONDT5FZPrKmgQ4aZaEfhq502mbgYytx6HhzVl0evDbAtd5EN0O80wGc3hdCXGmI2ZkJNW2ZYNaMlJYrE71RrKxEETkw2wEXxfX54NpshxmtQZ8jTM-kz0e8W-tVuNGMSUVVz4rhw70hhj9bTFnPLhmcJvAYtkk3rGOCMyVkQd8f0BWUvTk_hqI0O1wvFBetKNIddf4fqnwWyyuWFI2u1J9NePf0DI-bfwhKAfgBKBlIKeL4iDCqd2nUhzTqkjG9T6OWzT_fC9No |
Cites_doi | 10.1038/s41586-022-05473-8 10.1038/nrurol.2017.167 10.1002/imt2.107 10.1186/s12866-016-0686-7 10.1186/s13027-016-0112-7 10.1093/nar/gkac891 10.1002/pros.20680 10.1016/j.celrep.2021.109886 10.1038/163688a0 10.3322/caac.21590 10.1016/j.eururo.2018.06.033 10.2307/1942268 10.1681/ASN.2016010098 10.3389/fcimb.2023.1232147 10.1158/0008-5472.CAN-22-2405 10.1016/j.jmii.2022.12.009 10.1126/science.1233521 10.1186/s12915-014-0087-z 10.1016/j.cell.2015.10.025 10.1890/03-0557 10.1016/j.heliyon.2024.e38310 10.1093/biomet/80.1.193 10.1038/s41585-021-00442-8 10.1038/ncpuro1296 10.1093/bioinformatics/bty648 10.1016/j.cell.2024.03.021 10.1145/584091.584093 10.1016/0022-5193(66)90013-0 10.1099/ijsem.0.004332 10.1093/bib/bbz155 10.1097/01.ju.0000158161.15277.78 10.1038/nmeth.1923 10.7717/peerj-cs.104 10.1186/s13059-019-1891-0 10.1158/0008-5472.CAN-20-4090 10.1093/carcin/bgz008 10.1016/j.semcancer.2021.09.007 10.3389/fonc.2021.679712 10.1053/j.gastro.2023.03.205 10.1186/s12864-019-5457-z 10.1016/j.eururo.2017.03.029 10.1016/j.dib.2024.110636 10.1158/1055-9965.EPI-18-0966 10.1126/science.abf8403 10.1038/s41588-021-00991-z 10.1016/j.tim.2024.01.007 10.1016/j.euo.2021.09.006 10.1080/19490976.2023.2186677 10.1126/science.aay9189 10.1093/gigascience/giab008 10.1002/bs.3830040308 |
ContentType | Journal Article |
Copyright | 2024. The Author(s). COPYRIGHT 2025 BioMed Central Ltd. The Author(s) 2024 2024 |
Copyright_xml | – notice: 2024. The Author(s). – notice: COPYRIGHT 2025 BioMed Central Ltd. – notice: The Author(s) 2024 2024 |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM DOA |
DOI | 10.1186/s12967-024-05937-7 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – 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 |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Medicine |
EISSN | 1479-5876 |
EndPage | 12 |
ExternalDocumentID | oai_doaj_org_article_04151dcf0081459c818c70ee2a1d6a25 PMC11780891 A825451177 39881417 10_1186_s12967_024_05937_7 |
Genre | Journal Article |
GeographicLocations | China |
GeographicLocations_xml | – name: China |
GroupedDBID | --- 0R~ 29L 2WC 53G 5VS 6PF 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAWTL AAYXX ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADUKV AEAQA AENEX AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CITATION CS3 DIK DU5 E3Z EBD EBLON EBS ESX F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IHR INH INR ITC KQ8 M1P M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC PSQYO RBZ RNS ROL RPM RSV SBL SOJ TR2 TUS UKHRP WOQ WOW XSB ~8M CGR CUY CVF ECM EIF NPM PMFND 7X8 PJZUB PPXIY 5PM PUEGO |
ID | FETCH-LOGICAL-c487t-527301567ca2fd78d7288c7b5e12b90e1d2f133a6a38da9bb633a43b2f47eb623 |
IEDL.DBID | M48 |
ISSN | 1479-5876 |
IngestDate | Wed Aug 27 01:27:57 EDT 2025 Thu Aug 21 18:38:17 EDT 2025 Mon Jul 21 10:57:48 EDT 2025 Tue Jun 17 21:55:58 EDT 2025 Tue Jun 10 20:55:52 EDT 2025 Tue May 06 01:31:42 EDT 2025 Tue Jul 01 02:59:49 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Treatment Androgen Prostate cancer Gut Microbiome |
Language | English |
License | 2024. The Author(s). Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c487t-527301567ca2fd78d7288c7b5e12b90e1d2f133a6a38da9bb633a43b2f47eb623 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ORCID | 0000-0002-3206-1495 0000-0002-2278-1122 |
OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12967-024-05937-7 |
PMID | 39881417 |
PQID | 3161521857 |
PQPubID | 23479 |
PageCount | 12 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_04151dcf0081459c818c70ee2a1d6a25 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11780891 proquest_miscellaneous_3161521857 gale_infotracmisc_A825451177 gale_infotracacademiconefile_A825451177 pubmed_primary_39881417 crossref_primary_10_1186_s12967_024_05937_7 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2025-01-29 |
PublicationDateYYYYMMDD | 2025-01-29 |
PublicationDate_xml | – month: 01 year: 2025 text: 2025-01-29 day: 29 |
PublicationDecade | 2020 |
PublicationPlace | England |
PublicationPlace_xml | – name: England – name: London |
PublicationTitle | Journal of translational medicine |
PublicationTitleAlternate | J Transl Med |
PublicationYear | 2025 |
Publisher | BioMed Central Ltd BioMed Central BMC |
Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
References | WP Harris (5937_CR46) 2009; 6 B Langmead (5937_CR23) 2012; 9 A CHAO (5937_CR28) 1993; 80 5937_CR32 S Banerjee (5937_CR10) 2019; 40 P Danecek (5937_CR24) 2021; 10 R Bharti (5937_CR12) 2019; 22 J Lu (5937_CR15) 2017; 3 5937_CR38 H Xu (5937_CR40) 2024; 10 P Sekula (5937_CR19) 2016; 27 J Lee (5937_CR50) 2016; 16 MA Liss (5937_CR45) 2018; 74 S Chen (5937_CR21) 2023; 2 CE Shannon (5937_CR27) 2001; 5 N Pernigoni (5937_CR5) 2021; 374 RK Colwell (5937_CR29) 2004; 85 DE Wood (5937_CR16) 2019; 20 A Rizzo (5937_CR37) 2022; 86 J Dong (5937_CR48) 2021; 37 TW Battaglia (5937_CR18) 2024; 187 N-N Bui (5937_CR44) 2023; 56 M Shahzad (5937_CR17) 2024; 55 X Zhang (5937_CR47) 2023; 83 D Mouradov (5937_CR41) 2023; 165 BA Peters (5937_CR42) 2019; 28 Y Liu (5937_CR6) 2021; 11 KS Sfanos (5937_CR39) 2008; 68 JGM Markle (5937_CR51) 2013; 339 D Nejman (5937_CR4) 2020; 368 G Gandaglia (5937_CR1) 2021; 4 I Cavarretta (5937_CR11) 2017; 72 5937_CR14 Y-Q Lu (5937_CR49) 2024; 32 EC Pielou (5937_CR30) 1966; 13 EL Herzog (5937_CR13) 2023; 13 Y Feng (5937_CR9) 2019; 20 MI Kurki (5937_CR33) 2023; 613 KS Sfanos (5937_CR43) 2018; 15 Y Qin (5937_CR34) 2022; 54 JR Bray (5937_CR31) 1957; 27 B Langmead (5937_CR22) 2019; 35 RL Siegel (5937_CR2) 2020; 70 5937_CR8 AC Parte (5937_CR36) 2020; 70 M Matsushita (5937_CR7) 2021; 81 K-P Chen (5937_CR20) 2023; 51 Y Zhu (5937_CR3) 2021; 18 SJ Salter (5937_CR25) 2014; 12 A Abeshouse (5937_CR35) 2015; 163 EH Simpson (5937_CR26) 1949; 163 |
References_xml | – volume: 613 start-page: 508 year: 2023 ident: 5937_CR33 publication-title: Nature doi: 10.1038/s41586-022-05473-8 – volume: 15 start-page: 11 year: 2018 ident: 5937_CR43 publication-title: Nat Rev Urol doi: 10.1038/nrurol.2017.167 – volume: 2 start-page: e107 year: 2023 ident: 5937_CR21 publication-title: iMeta doi: 10.1002/imt2.107 – volume: 16 start-page: 69 year: 2016 ident: 5937_CR50 publication-title: BMC Microbiol doi: 10.1186/s12866-016-0686-7 – ident: 5937_CR8 doi: 10.1186/s13027-016-0112-7 – volume: 51 start-page: D1205 year: 2023 ident: 5937_CR20 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkac891 – volume: 68 start-page: 306 year: 2008 ident: 5937_CR39 publication-title: Prostate doi: 10.1002/pros.20680 – volume: 37 start-page: 109886 year: 2021 ident: 5937_CR48 publication-title: Cell Rep doi: 10.1016/j.celrep.2021.109886 – volume: 163 start-page: 688 year: 1949 ident: 5937_CR26 publication-title: Nature doi: 10.1038/163688a0 – volume: 70 start-page: 7 year: 2020 ident: 5937_CR2 publication-title: CA Cancer J Clin doi: 10.3322/caac.21590 – volume: 74 start-page: 575 year: 2018 ident: 5937_CR45 publication-title: Eur Urol doi: 10.1016/j.eururo.2018.06.033 – volume: 27 start-page: 325 year: 1957 ident: 5937_CR31 publication-title: Ecol Monogr doi: 10.2307/1942268 – volume: 27 start-page: 3253 year: 2016 ident: 5937_CR19 publication-title: J Am Soc Nephrol JASN doi: 10.1681/ASN.2016010098 – volume: 13 start-page: 1232147 year: 2023 ident: 5937_CR13 publication-title: Front Cell Infect Microbiol doi: 10.3389/fcimb.2023.1232147 – volume: 83 start-page: 906 year: 2023 ident: 5937_CR47 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-22-2405 – volume: 56 start-page: 246 year: 2023 ident: 5937_CR44 publication-title: J Microbiol Immunol Infect Wei Mian Yu Gan Ran Za Zhi doi: 10.1016/j.jmii.2022.12.009 – volume: 339 start-page: 1084 year: 2013 ident: 5937_CR51 publication-title: Science doi: 10.1126/science.1233521 – volume: 12 start-page: 87 year: 2014 ident: 5937_CR25 publication-title: BMC Biol doi: 10.1186/s12915-014-0087-z – volume: 163 start-page: 1011 year: 2015 ident: 5937_CR35 publication-title: Cell doi: 10.1016/j.cell.2015.10.025 – volume: 85 start-page: 2717 year: 2004 ident: 5937_CR29 publication-title: Ecology doi: 10.1890/03-0557 – volume: 10 start-page: e38310 year: 2024 ident: 5937_CR40 publication-title: Heliyon doi: 10.1016/j.heliyon.2024.e38310 – volume: 80 start-page: 193 year: 1993 ident: 5937_CR28 publication-title: Biometrika doi: 10.1093/biomet/80.1.193 – volume: 18 start-page: 282 year: 2021 ident: 5937_CR3 publication-title: Nat Rev Urol doi: 10.1038/s41585-021-00442-8 – volume: 6 start-page: 76 year: 2009 ident: 5937_CR46 publication-title: Nat Clin Pract Urol doi: 10.1038/ncpuro1296 – volume: 35 start-page: 421 year: 2019 ident: 5937_CR22 publication-title: Bioinformatics doi: 10.1093/bioinformatics/bty648 – volume: 187 start-page: 2324 year: 2024 ident: 5937_CR18 publication-title: Cell doi: 10.1016/j.cell.2024.03.021 – volume: 5 start-page: 3 year: 2001 ident: 5937_CR27 publication-title: SIGMOBILE Mob Comput Commun Rev doi: 10.1145/584091.584093 – volume: 13 start-page: 131 year: 1966 ident: 5937_CR30 publication-title: J Theor Biol doi: 10.1016/0022-5193(66)90013-0 – volume: 70 start-page: 5607 year: 2020 ident: 5937_CR36 publication-title: Int J Syst Evol Microbiol doi: 10.1099/ijsem.0.004332 – volume: 22 start-page: 178 year: 2019 ident: 5937_CR12 publication-title: Brief Bioinform doi: 10.1093/bib/bbz155 – ident: 5937_CR38 doi: 10.1097/01.ju.0000158161.15277.78 – volume: 9 start-page: 357 year: 2012 ident: 5937_CR23 publication-title: Nat Methods doi: 10.1038/nmeth.1923 – volume: 3 start-page: e104 year: 2017 ident: 5937_CR15 publication-title: PeerJ Comput Sci doi: 10.7717/peerj-cs.104 – volume: 20 start-page: 257 year: 2019 ident: 5937_CR16 publication-title: Genome Biol doi: 10.1186/s13059-019-1891-0 – volume: 81 start-page: 4014 year: 2021 ident: 5937_CR7 publication-title: Cancer Res doi: 10.1158/0008-5472.CAN-20-4090 – volume: 40 start-page: 749 year: 2019 ident: 5937_CR10 publication-title: Carcinogenesis doi: 10.1093/carcin/bgz008 – volume: 86 start-page: 1058 year: 2022 ident: 5937_CR37 publication-title: Semin Cancer Biol doi: 10.1016/j.semcancer.2021.09.007 – volume: 11 start-page: 679712 year: 2021 ident: 5937_CR6 publication-title: Front Oncol doi: 10.3389/fonc.2021.679712 – volume: 165 start-page: 104 year: 2023 ident: 5937_CR41 publication-title: Gastroenterology doi: 10.1053/j.gastro.2023.03.205 – volume: 20 start-page: 146 year: 2019 ident: 5937_CR9 publication-title: BMC Genomics doi: 10.1186/s12864-019-5457-z – volume: 72 start-page: 625 year: 2017 ident: 5937_CR11 publication-title: Eur Urol doi: 10.1016/j.eururo.2017.03.029 – volume: 55 start-page: 110636 year: 2024 ident: 5937_CR17 publication-title: Data Brief doi: 10.1016/j.dib.2024.110636 – volume: 28 start-page: 731 year: 2019 ident: 5937_CR42 publication-title: Cancer Epidemiol Biomark Prev Publ Am Assoc Cancer Res Cosponsored Am Soc Prev Oncol doi: 10.1158/1055-9965.EPI-18-0966 – volume: 374 start-page: 216 year: 2021 ident: 5937_CR5 publication-title: Science doi: 10.1126/science.abf8403 – volume: 54 start-page: 134 year: 2022 ident: 5937_CR34 publication-title: Nat Genet doi: 10.1038/s41588-021-00991-z – volume: 32 start-page: 807 year: 2024 ident: 5937_CR49 publication-title: Trends Microbiol doi: 10.1016/j.tim.2024.01.007 – volume: 4 start-page: 877 year: 2021 ident: 5937_CR1 publication-title: Eur Urol Oncol doi: 10.1016/j.euo.2021.09.006 – ident: 5937_CR14 doi: 10.1080/19490976.2023.2186677 – volume: 368 start-page: 973 year: 2020 ident: 5937_CR4 publication-title: Science doi: 10.1126/science.aay9189 – volume: 10 start-page: giab008 year: 2021 ident: 5937_CR24 publication-title: GigaScience doi: 10.1093/gigascience/giab008 – ident: 5937_CR32 doi: 10.1002/bs.3830040308 |
SSID | ssj0024549 |
Score | 2.428219 |
Snippet | Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about prostate... Introduction Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional opinion about... Abstract Introduction Prostate cancer is one of the most common cancers in the United States with a high mortality rate. In recent years, the traditional... |
SourceID | doaj pubmedcentral proquest gale pubmed crossref |
SourceType | Open Website Open Access Repository Aggregation Database Index Database |
StartPage | 130 |
SubjectTerms | Androgen Androgen suppression therapy Care and treatment Cohort Studies Composition Development and progression Diagnosis Gastrointestinal Microbiome - genetics Genome-Wide Association Study Gut Humans Male Metagenome - genetics Metastasis Microbiome Microbiota Microbiota (Symbiotic organisms) Neoplasm Metastasis Patient outcomes Prostate cancer Prostatic Neoplasms - genetics Prostatic Neoplasms - microbiology Prostatic Neoplasms - pathology Treatment |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Ni9UwEA-yB_Eiftt1lQiCBwn7mjQf9fYU10XQiy7uLeSr7ANf39LX_Tf8m51J2uUVD168lDYJbZqZycyQmd8Q8gZUnBCtTMzHkFgT4M7VIjG5SrXSWsjgcpTvN3V-0Xy5lJcHpb4wJqzAA5eFO8UU8jqGDnVXI9sACiboVUrc1VE5ntFLQefNztSMsgduz5wiY9TpHrQabAjQzrCEnWZ6oYYyWv_fe_KBUloGTB5ooLMH5P5kOtJ1mfJDcif1j8jdr9Ph-GPyG2V7SFclJJ26CW6E7joKVh5FYIihpDHQ7abgL21xWKTXmPoBRicNyAPDe2iE4RsQ_l805SC9TD-KuSg0hyAyLKw7jHSbRocwr9OLPv9cf6f7Epr4hFycffrx8ZxN5RZYAK9lZAjFhonVOjjeRW2i5gbW2stUc98C7SLvwKN1ygkTXeu9godGeN41WFiFi6fkqN_16TmhOoLdoKMTrtNNStK7OrUhCLgoJZ2vyLt59e11QdWw2RsxyhZaWaCVzbSyuiIfkEC3IxEROzcAn9iJT-y_-KQib5G8FuUWaBjclH4AE0YELLtGV1niEXZFThYjQd7Covv1zCAWuzBIrU-7m70VaD1zBNeqyLPCMLdzFq2BedXQYxastPipZU-_ucpw3_BRszJtffw_luEFucexgvGqZrw9IUfjcJNeglk1-ldZgv4AABohPA priority: 102 providerName: Directory of Open Access Journals |
Title | Comprehensive analysis of the interaction microbiome and prostate cancer: an initial exploration from multi-cohort metagenome and GWAS studies |
URI | https://www.ncbi.nlm.nih.gov/pubmed/39881417 https://www.proquest.com/docview/3161521857 https://pubmed.ncbi.nlm.nih.gov/PMC11780891 https://doaj.org/article/04151dcf0081459c818c70ee2a1d6a25 |
Volume | 23 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3di9QwEA_3AeKL-G31XCIIPkh0mzRNKojsyp2HcIecLi6-hDRJvYXb7tntgf4T_s3OpN3zivfgS9ltQjftzGR-s535DSHPwcUJUcjASu8Cyxx8sqkITI5DmislpLMxy_c4P5xlH-dyvkU27Y76B7i-NrTDflKz5uzVzx-_3oHBv40Gr_PXa_BZYO7gbRg2qFNMbZNd8EwKOxocZfov956McDjNVMEkbAObIpprrzFwVJHP_99d-4rbGqZUXvFRB7fJrR5c0kmnDXfIVqjvkhtH_evze-Q3Wn8TTrukdWp7QhK6qijgQIrUEU1X6ECXi46haYnTPD3H4hCApdShljRv4CRMX8D2cEZDTOOLEqZYrUJjkiLD1rtNS5ehtUgE21_ow9fJZ7rukhfvk9nB_pf3h6xvyMAcxDUtQ7I2LL1WzvLKK-0V19qpUoaUlwVI1_MKYl6bW6G9Lcoyhy-ZKHmVYesVLh6QnXpVh0eEKg_IQnkrbKWyEGRp01A4J-CQ59KWCXm5efrmvOPdMDFe0bnpZGVAVibKyqiETFFAlzORMzueWDXfTW-CBskIUu8qREGZLBxAFafGIXCb-txymZAXKF6DugYydLYvUIAFI0eWmWAwLfEld0L2BjPBIt1g-NlGQQwOYRpbHVYXayMQX3Ok30rIw05hLtcsCg3rSmFED1RpcFPDkXpxGgnB4Uf1WBfp4_--gyfkJsdGxuOU8WKP7LTNRXgK6KotR2RbzdWI7E73jz-djOJ_FKNoRnA8mX77AxfMJ1M |
linkProvider | Scholars Portal |
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=Comprehensive+analysis+of+the+interaction+microbiome+and+prostate+cancer%3A+an+initial+exploration+from+multi-cohort+metagenome+and+GWAS+studies&rft.jtitle=Journal+of+translational+medicine&rft.au=Ye%2C+Gui-Chen&rft.au=Peng%2C+Hao&rft.au=Xiang%2C+Jia-Cheng&rft.au=Miao%2C+Ling-Tao&rft.date=2025-01-29&rft.pub=BioMed+Central+Ltd&rft.issn=1479-5876&rft.eissn=1479-5876&rft.volume=23&rft.issue=1&rft_id=info:doi/10.1186%2Fs12967-024-05937-7&rft.externalDocID=A825451177 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1479-5876&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1479-5876&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1479-5876&client=summon |