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Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer
Ovarian cancer (OC) is a frequently lethal gynecologic malignancy, characterized by a poor prognosis and high recurrence rate. The immune microenvironment has been implicated in the progression of OC. We characterized the immune landscape in primary and malignant OC ascites using single-cell and bul...
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Published in: | Aging (Albany, NY.) NY.), 2021-10, Vol.13 (19), p.23210-23232 |
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creator | Tan, Qianxia Liu, Huining Xu, Jie Mo, Yanqun Dai, Furong |
description | Ovarian cancer (OC) is a frequently lethal gynecologic malignancy, characterized by a poor prognosis and high recurrence rate. The immune microenvironment has been implicated in the progression of OC. We characterized the immune landscape in primary and malignant OC ascites using single-cell and bulk transcriptome raw OC data acquired from the Gene Expression Omnibus and The Cancer Genome Atlas databases. We then used the CIBERSORT deconvolution algorithm, weighted gene co-expression network analysis, univariate and multivariate Cox analyses, and the LASSO algorithm to develop a tumor-associated macrophage-related gene (TAMRG) prognostic signature, which enabled us to stratify and predict overall survival (OS) of OC patients. In addition, inter- and intra-patient heterogeneity of infiltrating immune cells was characterized at single-cell resolution. Tumor-infiltrating macrophages with an M2 phenotype exhibited immunosuppressive activity. M1 macrophages positively correlated with OS, whereas activated mast cells, neutrophils, M2 macrophages, and activated memory CD4
T cells were all negatively correlated with OS. A total of 219 TAMRGs were identified, and a novel 6-gene signature (
,
,
,
,
, and
) with independent prognostic value was established. These results show that a TAMRG-based signature may be a promising prognostic and therapeutic target in OC. |
doi_str_mv | 10.18632/aging.203613 |
format | article |
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T cells were all negatively correlated with OS. A total of 219 TAMRGs were identified, and a novel 6-gene signature (
,
,
,
,
, and
) with independent prognostic value was established. These results show that a TAMRG-based signature may be a promising prognostic and therapeutic target in OC.</description><identifier>ISSN: 1945-4589</identifier><identifier>EISSN: 1945-4589</identifier><identifier>DOI: 10.18632/aging.203613</identifier><identifier>PMID: 34633990</identifier><language>eng</language><publisher>United States: Impact Journals</publisher><subject>Biomarkers, Tumor - genetics ; Biomarkers, Tumor - immunology ; Biomarkers, Tumor - metabolism ; Female ; Humans ; Ovarian Neoplasms - diagnosis ; Ovarian Neoplasms - genetics ; Ovarian Neoplasms - mortality ; Ovarian Neoplasms - pathology ; Prognosis ; Research Paper ; Tumor-Associated Macrophages - immunology</subject><ispartof>Aging (Albany, NY.), 2021-10, Vol.13 (19), p.23210-23232</ispartof><rights>Copyright: © 2021 Tan et al.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-e3741bab8e0107d0d28ce7382a966075c0446d89409a353c8f3fa3ebd997d7233</citedby><cites>FETCH-LOGICAL-c387t-e3741bab8e0107d0d28ce7382a966075c0446d89409a353c8f3fa3ebd997d7233</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/PMC8544311/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544311/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34633990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tan, Qianxia</creatorcontrib><creatorcontrib>Liu, Huining</creatorcontrib><creatorcontrib>Xu, Jie</creatorcontrib><creatorcontrib>Mo, Yanqun</creatorcontrib><creatorcontrib>Dai, Furong</creatorcontrib><title>Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer</title><title>Aging (Albany, NY.)</title><addtitle>Aging (Albany NY)</addtitle><description>Ovarian cancer (OC) is a frequently lethal gynecologic malignancy, characterized by a poor prognosis and high recurrence rate. The immune microenvironment has been implicated in the progression of OC. We characterized the immune landscape in primary and malignant OC ascites using single-cell and bulk transcriptome raw OC data acquired from the Gene Expression Omnibus and The Cancer Genome Atlas databases. We then used the CIBERSORT deconvolution algorithm, weighted gene co-expression network analysis, univariate and multivariate Cox analyses, and the LASSO algorithm to develop a tumor-associated macrophage-related gene (TAMRG) prognostic signature, which enabled us to stratify and predict overall survival (OS) of OC patients. In addition, inter- and intra-patient heterogeneity of infiltrating immune cells was characterized at single-cell resolution. Tumor-infiltrating macrophages with an M2 phenotype exhibited immunosuppressive activity. M1 macrophages positively correlated with OS, whereas activated mast cells, neutrophils, M2 macrophages, and activated memory CD4
T cells were all negatively correlated with OS. A total of 219 TAMRGs were identified, and a novel 6-gene signature (
,
,
,
,
, and
) with independent prognostic value was established. These results show that a TAMRG-based signature may be a promising prognostic and therapeutic target in OC.</description><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - immunology</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Female</subject><subject>Humans</subject><subject>Ovarian Neoplasms - diagnosis</subject><subject>Ovarian Neoplasms - genetics</subject><subject>Ovarian Neoplasms - mortality</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Prognosis</subject><subject>Research Paper</subject><subject>Tumor-Associated Macrophages - immunology</subject><issn>1945-4589</issn><issn>1945-4589</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpVUctKxTAQDaL4XrqVLt1Uk07aJhtBLr5AcKPrME3TGmmTmrQX_Ht7H8p1NQPnMYc5hFwwes1EAdkNtta11xmFgsEeOWaS5ynPhdzf2Y_ISYyflBZ5zotDcgS8AJCSHhP17EbTBhxNnaDD7jvamPgmGafehxRj9NquwR518MMHtiaxrrHdOGusd7OoTobgW-dXSusSv8Rg0SUanTbhjBw02EVzvp2n5P3h_m3xlL68Pj4v7l5SDaIcUwMlZxVWwlBGy5rWmdCmBJGhLApa5ppyXtRCcioRctCigQbBVLWUZV1mAKfkduM7TFVvam3cHLBTQ7A9hm_l0ar_iLMfqvVLJXLOgbHZ4GprEPzXZOKoehu16Tp0xk9RZblgmeBSrKjphjp_JMZgmr8zjKp1KWpditqUMvMvd7P9sX9bgB9BSItd</recordid><startdate>20211015</startdate><enddate>20211015</enddate><creator>Tan, Qianxia</creator><creator>Liu, Huining</creator><creator>Xu, Jie</creator><creator>Mo, Yanqun</creator><creator>Dai, Furong</creator><general>Impact Journals</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20211015</creationdate><title>Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer</title><author>Tan, Qianxia ; Liu, Huining ; Xu, Jie ; Mo, Yanqun ; Dai, Furong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c387t-e3741bab8e0107d0d28ce7382a966075c0446d89409a353c8f3fa3ebd997d7233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - immunology</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Female</topic><topic>Humans</topic><topic>Ovarian Neoplasms - diagnosis</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Ovarian Neoplasms - mortality</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Prognosis</topic><topic>Research Paper</topic><topic>Tumor-Associated Macrophages - immunology</topic><toplevel>online_resources</toplevel><creatorcontrib>Tan, Qianxia</creatorcontrib><creatorcontrib>Liu, Huining</creatorcontrib><creatorcontrib>Xu, Jie</creatorcontrib><creatorcontrib>Mo, Yanqun</creatorcontrib><creatorcontrib>Dai, Furong</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Aging (Albany, NY.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tan, Qianxia</au><au>Liu, Huining</au><au>Xu, Jie</au><au>Mo, Yanqun</au><au>Dai, Furong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer</atitle><jtitle>Aging (Albany, NY.)</jtitle><addtitle>Aging (Albany NY)</addtitle><date>2021-10-15</date><risdate>2021</risdate><volume>13</volume><issue>19</issue><spage>23210</spage><epage>23232</epage><pages>23210-23232</pages><issn>1945-4589</issn><eissn>1945-4589</eissn><abstract>Ovarian cancer (OC) is a frequently lethal gynecologic malignancy, characterized by a poor prognosis and high recurrence rate. The immune microenvironment has been implicated in the progression of OC. We characterized the immune landscape in primary and malignant OC ascites using single-cell and bulk transcriptome raw OC data acquired from the Gene Expression Omnibus and The Cancer Genome Atlas databases. We then used the CIBERSORT deconvolution algorithm, weighted gene co-expression network analysis, univariate and multivariate Cox analyses, and the LASSO algorithm to develop a tumor-associated macrophage-related gene (TAMRG) prognostic signature, which enabled us to stratify and predict overall survival (OS) of OC patients. In addition, inter- and intra-patient heterogeneity of infiltrating immune cells was characterized at single-cell resolution. Tumor-infiltrating macrophages with an M2 phenotype exhibited immunosuppressive activity. M1 macrophages positively correlated with OS, whereas activated mast cells, neutrophils, M2 macrophages, and activated memory CD4
T cells were all negatively correlated with OS. A total of 219 TAMRGs were identified, and a novel 6-gene signature (
,
,
,
,
, and
) with independent prognostic value was established. These results show that a TAMRG-based signature may be a promising prognostic and therapeutic target in OC.</abstract><cop>United States</cop><pub>Impact Journals</pub><pmid>34633990</pmid><doi>10.18632/aging.203613</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers, Tumor - genetics Biomarkers, Tumor - immunology Biomarkers, Tumor - metabolism Female Humans Ovarian Neoplasms - diagnosis Ovarian Neoplasms - genetics Ovarian Neoplasms - mortality Ovarian Neoplasms - pathology Prognosis Research Paper Tumor-Associated Macrophages - immunology |
title | Integrated analysis of tumor-associated macrophage infiltration and prognosis in ovarian cancer |
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