Loading…
Comparative transcriptome of normal and cancer-associated fibroblasts
The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that inf...
Saved in:
| Published in: | BMC cancer 2024-10, Vol.24 (1), p.1231-31, Article 1231 |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | cdi_FETCH-LOGICAL-c510t-273798ba8b05e447fa378eeba322a7a6a3ba67b865fd3f9c53a9dff392ed6b5a3 |
| container_end_page | 31 |
| container_issue | 1 |
| container_start_page | 1231 |
| container_title | BMC cancer |
| container_volume | 24 |
| creator | Abikar, Apoorva Mustafa, Mohammad Mehaboob Subhani Athalye, Radhika Rajiv Nadig, Namratha Tamboli, Ninad Babu, Vinod Keshavamurthy, Ramaiah Ranganathan, Prathibha |
| description | The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome.
Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts.
The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers.
This study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation. |
| doi_str_mv | 10.1186/s12885-024-13006-x |
| format | article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_25591359c5fd4583b158c86083f61918</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A811255168</galeid><doaj_id>oai_doaj_org_article_25591359c5fd4583b158c86083f61918</doaj_id><sourcerecordid>A811255168</sourcerecordid><originalsourceid>FETCH-LOGICAL-c510t-273798ba8b05e447fa378eeba322a7a6a3ba67b865fd3f9c53a9dff392ed6b5a3</originalsourceid><addsrcrecordid>eNptkl9rFDEUxQdRbK1-AR9kQBB9mJqbTDKZp1KWqgsFwT_P4U4m2c0yM1mTTFm_vdluLbsieUi4-d2T3MMpitdALgGk-BiBSskrQusKGCGi2j0pzqFuoKI1aZ4enc-KFzFuCIFGEvm8OGMtEy1l8ry4WfhxiwGTuzNlCjhFHdw2-dGU3paTDyMOJU59qXHSJlQYo9cOk-lL67rguwFjii-LZxaHaF497BfFz083PxZfqtuvn5eL69tKcyCpog1rWtmh7Ag3dd1YZI00pkNGKTYokHUomk4KbntmW80Ztr21rKWmFx1HdlEsD7q9x43aBjdi-K08OnVf8GGlMCSnB6Mo5y0wnkVsX3PJOuBSS0EkswJakFnr6qC1nbvR9NpMefzhRPT0ZnJrtfJ3CqDmgtaQFd4_KAT_azYxqdFFbYYBJ-PnqBgAY9lwzjL69h904-cwZa_2FAdaC3ZErTBP4Cbr88N6L6quJUAeCcT-45f_ofLqzei0n4x1uX7S8OGkITPJ7NIK5xjV8vu3U_bdEbs2OKR19MOcnJ_iKUgPoA4-xmDso3NA1D6e6hBPleOp7uOpdrnpzbHnjy1_88j-AOlW3S8</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3115124633</pqid></control><display><type>article</type><title>Comparative transcriptome of normal and cancer-associated fibroblasts</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Abikar, Apoorva ; Mustafa, Mohammad Mehaboob Subhani ; Athalye, Radhika Rajiv ; Nadig, Namratha ; Tamboli, Ninad ; Babu, Vinod ; Keshavamurthy, Ramaiah ; Ranganathan, Prathibha</creator><creatorcontrib>Abikar, Apoorva ; Mustafa, Mohammad Mehaboob Subhani ; Athalye, Radhika Rajiv ; Nadig, Namratha ; Tamboli, Ninad ; Babu, Vinod ; Keshavamurthy, Ramaiah ; Ranganathan, Prathibha</creatorcontrib><description>The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome.
Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts.
The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers.
This study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation.</description><identifier>ISSN: 1471-2407</identifier><identifier>EISSN: 1471-2407</identifier><identifier>DOI: 10.1186/s12885-024-13006-x</identifier><identifier>PMID: 39369238</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Biological markers ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Cancer ; Cancer therapies ; Cancer-associated fibroblasts ; Cancer-Associated Fibroblasts - metabolism ; Cancer-Associated Fibroblasts - pathology ; Care and treatment ; Chemoresistance ; Chemotherapy ; Complications and side effects ; Cytokines ; Drug resistance ; Extracellular matrix ; Fibroblasts ; Fibroblasts - metabolism ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genomes ; Growth factors ; Health aspects ; Humans ; Hyperplasia ; Kinases ; LINCRNA ; Male ; Metabolism ; Metabolites ; Metastasis ; MicroRNAs ; MicroRNAs - genetics ; miRNA ; Non-coding RNA ; Patient outcomes ; Prostate ; Prostate cancer ; Prostatic Hyperplasia - genetics ; Prostatic Hyperplasia - metabolism ; Prostatic Hyperplasia - pathology ; Prostatic Neoplasms - genetics ; Prostatic Neoplasms - metabolism ; Prostatic Neoplasms - pathology ; RNA, Long Noncoding - genetics ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Transcriptome ; Transcriptomes ; Tumor microenvironment ; Tumor Microenvironment - genetics ; Urology</subject><ispartof>BMC cancer, 2024-10, Vol.24 (1), p.1231-31, Article 1231</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c510t-273798ba8b05e447fa378eeba322a7a6a3ba67b865fd3f9c53a9dff392ed6b5a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11456241/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3115124633?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39369238$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abikar, Apoorva</creatorcontrib><creatorcontrib>Mustafa, Mohammad Mehaboob Subhani</creatorcontrib><creatorcontrib>Athalye, Radhika Rajiv</creatorcontrib><creatorcontrib>Nadig, Namratha</creatorcontrib><creatorcontrib>Tamboli, Ninad</creatorcontrib><creatorcontrib>Babu, Vinod</creatorcontrib><creatorcontrib>Keshavamurthy, Ramaiah</creatorcontrib><creatorcontrib>Ranganathan, Prathibha</creatorcontrib><title>Comparative transcriptome of normal and cancer-associated fibroblasts</title><title>BMC cancer</title><addtitle>BMC Cancer</addtitle><description>The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome.
Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts.
The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers.
This study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation.</description><subject>Analysis</subject><subject>Biological markers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cancer-associated fibroblasts</subject><subject>Cancer-Associated Fibroblasts - metabolism</subject><subject>Cancer-Associated Fibroblasts - pathology</subject><subject>Care and treatment</subject><subject>Chemoresistance</subject><subject>Chemotherapy</subject><subject>Complications and side effects</subject><subject>Cytokines</subject><subject>Drug resistance</subject><subject>Extracellular matrix</subject><subject>Fibroblasts</subject><subject>Fibroblasts - metabolism</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genomes</subject><subject>Growth factors</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hyperplasia</subject><subject>Kinases</subject><subject>LINCRNA</subject><subject>Male</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Metastasis</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Non-coding RNA</subject><subject>Patient outcomes</subject><subject>Prostate</subject><subject>Prostate cancer</subject><subject>Prostatic Hyperplasia - genetics</subject><subject>Prostatic Hyperplasia - metabolism</subject><subject>Prostatic Hyperplasia - pathology</subject><subject>Prostatic Neoplasms - genetics</subject><subject>Prostatic Neoplasms - metabolism</subject><subject>Prostatic Neoplasms - pathology</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Transcriptome</subject><subject>Transcriptomes</subject><subject>Tumor microenvironment</subject><subject>Tumor Microenvironment - genetics</subject><subject>Urology</subject><issn>1471-2407</issn><issn>1471-2407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl9rFDEUxQdRbK1-AR9kQBB9mJqbTDKZp1KWqgsFwT_P4U4m2c0yM1mTTFm_vdluLbsieUi4-d2T3MMpitdALgGk-BiBSskrQusKGCGi2j0pzqFuoKI1aZ4enc-KFzFuCIFGEvm8OGMtEy1l8ry4WfhxiwGTuzNlCjhFHdw2-dGU3paTDyMOJU59qXHSJlQYo9cOk-lL67rguwFjii-LZxaHaF497BfFz083PxZfqtuvn5eL69tKcyCpog1rWtmh7Ag3dd1YZI00pkNGKTYokHUomk4KbntmW80Ztr21rKWmFx1HdlEsD7q9x43aBjdi-K08OnVf8GGlMCSnB6Mo5y0wnkVsX3PJOuBSS0EkswJakFnr6qC1nbvR9NpMefzhRPT0ZnJrtfJ3CqDmgtaQFd4_KAT_azYxqdFFbYYBJ-PnqBgAY9lwzjL69h904-cwZa_2FAdaC3ZErTBP4Cbr88N6L6quJUAeCcT-45f_ofLqzei0n4x1uX7S8OGkITPJ7NIK5xjV8vu3U_bdEbs2OKR19MOcnJ_iKUgPoA4-xmDso3NA1D6e6hBPleOp7uOpdrnpzbHnjy1_88j-AOlW3S8</recordid><startdate>20241005</startdate><enddate>20241005</enddate><creator>Abikar, Apoorva</creator><creator>Mustafa, Mohammad Mehaboob Subhani</creator><creator>Athalye, Radhika Rajiv</creator><creator>Nadig, Namratha</creator><creator>Tamboli, Ninad</creator><creator>Babu, Vinod</creator><creator>Keshavamurthy, Ramaiah</creator><creator>Ranganathan, Prathibha</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20241005</creationdate><title>Comparative transcriptome of normal and cancer-associated fibroblasts</title><author>Abikar, Apoorva ; Mustafa, Mohammad Mehaboob Subhani ; Athalye, Radhika Rajiv ; Nadig, Namratha ; Tamboli, Ninad ; Babu, Vinod ; Keshavamurthy, Ramaiah ; Ranganathan, Prathibha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-273798ba8b05e447fa378eeba322a7a6a3ba67b865fd3f9c53a9dff392ed6b5a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Analysis</topic><topic>Biological markers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cancer-associated fibroblasts</topic><topic>Cancer-Associated Fibroblasts - metabolism</topic><topic>Cancer-Associated Fibroblasts - pathology</topic><topic>Care and treatment</topic><topic>Chemoresistance</topic><topic>Chemotherapy</topic><topic>Complications and side effects</topic><topic>Cytokines</topic><topic>Drug resistance</topic><topic>Extracellular matrix</topic><topic>Fibroblasts</topic><topic>Fibroblasts - metabolism</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genomes</topic><topic>Growth factors</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Hyperplasia</topic><topic>Kinases</topic><topic>LINCRNA</topic><topic>Male</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Metastasis</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Non-coding RNA</topic><topic>Patient outcomes</topic><topic>Prostate</topic><topic>Prostate cancer</topic><topic>Prostatic Hyperplasia - genetics</topic><topic>Prostatic Hyperplasia - metabolism</topic><topic>Prostatic Hyperplasia - pathology</topic><topic>Prostatic Neoplasms - genetics</topic><topic>Prostatic Neoplasms - metabolism</topic><topic>Prostatic Neoplasms - pathology</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Transcriptome</topic><topic>Transcriptomes</topic><topic>Tumor microenvironment</topic><topic>Tumor Microenvironment - genetics</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Abikar, Apoorva</creatorcontrib><creatorcontrib>Mustafa, Mohammad Mehaboob Subhani</creatorcontrib><creatorcontrib>Athalye, Radhika Rajiv</creatorcontrib><creatorcontrib>Nadig, Namratha</creatorcontrib><creatorcontrib>Tamboli, Ninad</creatorcontrib><creatorcontrib>Babu, Vinod</creatorcontrib><creatorcontrib>Keshavamurthy, Ramaiah</creatorcontrib><creatorcontrib>Ranganathan, Prathibha</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Abikar, Apoorva</au><au>Mustafa, Mohammad Mehaboob Subhani</au><au>Athalye, Radhika Rajiv</au><au>Nadig, Namratha</au><au>Tamboli, Ninad</au><au>Babu, Vinod</au><au>Keshavamurthy, Ramaiah</au><au>Ranganathan, Prathibha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative transcriptome of normal and cancer-associated fibroblasts</atitle><jtitle>BMC cancer</jtitle><addtitle>BMC Cancer</addtitle><date>2024-10-05</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>1231</spage><epage>31</epage><pages>1231-31</pages><artnum>1231</artnum><issn>1471-2407</issn><eissn>1471-2407</eissn><abstract>The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer-associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that in combination with conventional chemotherapy are likely to have better patient outcome.
Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts.
The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers.
This study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39369238</pmid><doi>10.1186/s12885-024-13006-x</doi><tpages>31</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1471-2407 |
| ispartof | BMC cancer, 2024-10, Vol.24 (1), p.1231-31, Article 1231 |
| issn | 1471-2407 1471-2407 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_25591359c5fd4583b158c86083f61918 |
| source | Publicly Available Content Database; PubMed Central |
| subjects | Analysis Biological markers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Cancer Cancer therapies Cancer-associated fibroblasts Cancer-Associated Fibroblasts - metabolism Cancer-Associated Fibroblasts - pathology Care and treatment Chemoresistance Chemotherapy Complications and side effects Cytokines Drug resistance Extracellular matrix Fibroblasts Fibroblasts - metabolism Gene Expression Profiling Gene Expression Regulation, Neoplastic Genomes Growth factors Health aspects Humans Hyperplasia Kinases LINCRNA Male Metabolism Metabolites Metastasis MicroRNAs MicroRNAs - genetics miRNA Non-coding RNA Patient outcomes Prostate Prostate cancer Prostatic Hyperplasia - genetics Prostatic Hyperplasia - metabolism Prostatic Hyperplasia - pathology Prostatic Neoplasms - genetics Prostatic Neoplasms - metabolism Prostatic Neoplasms - pathology RNA, Long Noncoding - genetics RNA, Messenger - genetics RNA, Messenger - metabolism Transcriptome Transcriptomes Tumor microenvironment Tumor Microenvironment - genetics Urology |
| title | Comparative transcriptome of normal and cancer-associated fibroblasts |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T16%3A02%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparative%20transcriptome%20of%20normal%20and%20cancer-associated%20fibroblasts&rft.jtitle=BMC%20cancer&rft.au=Abikar,%20Apoorva&rft.date=2024-10-05&rft.volume=24&rft.issue=1&rft.spage=1231&rft.epage=31&rft.pages=1231-31&rft.artnum=1231&rft.issn=1471-2407&rft.eissn=1471-2407&rft_id=info:doi/10.1186/s12885-024-13006-x&rft_dat=%3Cgale_doaj_%3EA811255168%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c510t-273798ba8b05e447fa378eeba322a7a6a3ba67b865fd3f9c53a9dff392ed6b5a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3115124633&rft_id=info:pmid/39369238&rft_galeid=A811255168&rfr_iscdi=true |