Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis
Immune checkpoint inhibitors (ICIs) are approved to treat colorectal cancer (CRC) with mismatch-repair gene deficiency, but the response rate remains low. Value of current biomarkers to predict CRC patients’ response to ICIs is unclear due to heterogeneous study designs and small sample sizes. Here,...
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description | Immune checkpoint inhibitors (ICIs) are approved to treat colorectal cancer (CRC) with mismatch-repair gene deficiency, but the response rate remains low. Value of current biomarkers to predict CRC patients’ response to ICIs is unclear due to heterogeneous study designs and small sample sizes. Here, we aim to assess and quantify the magnitude of multiple biomarkers for predicting the efficacy of ICIs in CRC patients. We systematically searched MEDLINE, Embase, the Cochrane Library, and Web of Science databases (to June 2023) for clinical studies examining biomarkers for efficacy of ICIs in CRC patients. Random-effect models were performed for meta-analysis. We pooled odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) for biomarkers predicting response rate and survival. 36 studies with 1867 patients were included in systematic review. We found that a lower pre-treatment blood neutrophil-to-lymphocyte ratio (
n
=4, HR 0.37, 95%CI 0.21–0.67) predicts good prognosis, higher tumor mutation burden (
n
=10, OR 4.83, 95%CI 2.16–10.78) predicts response to ICIs, and liver metastasis (
n
=16, OR 0.32, 95%CI 0.16–0.63) indicates resistance to ICIs, especially when combined with VEGFR inhibitors. But the predictive value of tumor PD-L1 expression (
n
=9, OR 1.01, 95%CI 0.48–2.14) was insignificant in CRC. Blood neutrophil-to-lymphocyte ratio, tumor mutation burden, and liver metastasis, but not tumor PD-L1 expression, function as significant biomarkers to predict efficacy of ICIs in CRC patients. These findings help stratify CRC patients suitable for ICI treatments, improving efficacy of immunotherapy through precise patient management. (PROSPERO, CRD42022346716). |
doi_str_mv | 10.1007/s10238-024-01408-x |
format | Article |
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n
=4, HR 0.37, 95%CI 0.21–0.67) predicts good prognosis, higher tumor mutation burden (
n
=10, OR 4.83, 95%CI 2.16–10.78) predicts response to ICIs, and liver metastasis (
n
=16, OR 0.32, 95%CI 0.16–0.63) indicates resistance to ICIs, especially when combined with VEGFR inhibitors. But the predictive value of tumor PD-L1 expression (
n
=9, OR 1.01, 95%CI 0.48–2.14) was insignificant in CRC. Blood neutrophil-to-lymphocyte ratio, tumor mutation burden, and liver metastasis, but not tumor PD-L1 expression, function as significant biomarkers to predict efficacy of ICIs in CRC patients. These findings help stratify CRC patients suitable for ICI treatments, improving efficacy of immunotherapy through precise patient management. (PROSPERO, CRD42022346716).</description><identifier>ISSN: 1591-9528</identifier><identifier>ISSN: 1591-8890</identifier><identifier>EISSN: 1591-9528</identifier><identifier>DOI: 10.1007/s10238-024-01408-x</identifier><identifier>PMID: 38960935</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomarkers ; Biomarkers, Tumor - genetics ; Colorectal cancer ; Colorectal carcinoma ; Colorectal Neoplasms - drug therapy ; Colorectal Neoplasms - pathology ; Hematology ; Humans ; Immune checkpoint inhibitors ; Immune Checkpoint Inhibitors - therapeutic use ; Immunotherapy ; Internal Medicine ; Leukocytes (neutrophilic) ; Liver ; Lymphocytes ; Medical prognosis ; Medicine ; Medicine & Public Health ; Meta-analysis ; Metastases ; Metastasis ; Mutation ; Neutrophils ; Oncology ; Patients ; PD-L1 protein ; Prognosis ; Response rates ; Review ; Systematic review ; Treatment Outcome ; Tumors ; Vascular endothelial growth factor receptors</subject><ispartof>Clinical and experimental medicine, 2024-07, Vol.24 (1), p.143, Article 143</ispartof><rights>The Author(s) 2024</rights><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c426t-c52fe4f25a92575e2ecb2d155baac7d456e6c9017d71d5f80532198f0878023d3</cites><orcidid>0000-0002-3501-7836</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10238-024-01408-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10238-024-01408-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38960935$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Hang</creatorcontrib><creatorcontrib>Liu, Qingquan</creatorcontrib><creatorcontrib>Wu, Keting</creatorcontrib><creatorcontrib>Tang, Shuang</creatorcontrib><title>Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis</title><title>Clinical and experimental medicine</title><addtitle>Clin Exp Med</addtitle><addtitle>Clin Exp Med</addtitle><description>Immune checkpoint inhibitors (ICIs) are approved to treat colorectal cancer (CRC) with mismatch-repair gene deficiency, but the response rate remains low. Value of current biomarkers to predict CRC patients’ response to ICIs is unclear due to heterogeneous study designs and small sample sizes. Here, we aim to assess and quantify the magnitude of multiple biomarkers for predicting the efficacy of ICIs in CRC patients. We systematically searched MEDLINE, Embase, the Cochrane Library, and Web of Science databases (to June 2023) for clinical studies examining biomarkers for efficacy of ICIs in CRC patients. Random-effect models were performed for meta-analysis. We pooled odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) for biomarkers predicting response rate and survival. 36 studies with 1867 patients were included in systematic review. We found that a lower pre-treatment blood neutrophil-to-lymphocyte ratio (
n
=4, HR 0.37, 95%CI 0.21–0.67) predicts good prognosis, higher tumor mutation burden (
n
=10, OR 4.83, 95%CI 2.16–10.78) predicts response to ICIs, and liver metastasis (
n
=16, OR 0.32, 95%CI 0.16–0.63) indicates resistance to ICIs, especially when combined with VEGFR inhibitors. But the predictive value of tumor PD-L1 expression (
n
=9, OR 1.01, 95%CI 0.48–2.14) was insignificant in CRC. Blood neutrophil-to-lymphocyte ratio, tumor mutation burden, and liver metastasis, but not tumor PD-L1 expression, function as significant biomarkers to predict efficacy of ICIs in CRC patients. These findings help stratify CRC patients suitable for ICI treatments, improving efficacy of immunotherapy through precise patient management. (PROSPERO, CRD42022346716).</description><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Colorectal cancer</subject><subject>Colorectal carcinoma</subject><subject>Colorectal Neoplasms - drug therapy</subject><subject>Colorectal Neoplasms - pathology</subject><subject>Hematology</subject><subject>Humans</subject><subject>Immune checkpoint inhibitors</subject><subject>Immune Checkpoint Inhibitors - therapeutic use</subject><subject>Immunotherapy</subject><subject>Internal Medicine</subject><subject>Leukocytes (neutrophilic)</subject><subject>Liver</subject><subject>Lymphocytes</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Meta-analysis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mutation</subject><subject>Neutrophils</subject><subject>Oncology</subject><subject>Patients</subject><subject>PD-L1 protein</subject><subject>Prognosis</subject><subject>Response rates</subject><subject>Review</subject><subject>Systematic review</subject><subject>Treatment Outcome</subject><subject>Tumors</subject><subject>Vascular endothelial growth factor receptors</subject><issn>1591-9528</issn><issn>1591-8890</issn><issn>1591-9528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><recordid>eNp9kc1u1TAQhS0EoqXwAiyQJTZsQm0njh02qFRAK1ViA2vLdzLpdZvYwXZK75oXxyWlLSzwxpbnmzM_h5CXnL3ljKnDxJmodcVEUzHeMF1dPyL7XHa86qTQjx-898izlC4Y41LX7CnZq3XXsq6W--TnBxcmGy8xJpoDnSP2DjLFYXBgYUfDQN00LR4pbBEu5-B8ps5v3cblUHKcpxDGEBGyHSlYDxjpbLNDn9M7amnapYxT-QAa8crhD2p9TyfMtrLejrvk0nPyZLBjwhe39wH59unj1-OT6uzL59Pjo7MKGtHmCqQYsBmEtJ2QSqJA2IieS7mxFlTfyBZb6BhXveK9HDSTteCdHphWuiyqrw_I-1V3XjYT9lBajHY0c3RlAzsTrDN_R7zbmvNwZTgX5bSiKLy5VYjh-4Ipm8klwHG0HsOSTM2UVGXLvCno63_Qi7DEMvFKtVordUOJlYIYUoo43HXDmbkx2awmm2Ky-W2yuS5Jrx7OcZfyx9UC1CuQSsifY7yv_R_ZX1b7td8</recordid><startdate>20240703</startdate><enddate>20240703</enddate><creator>Yu, Hang</creator><creator>Liu, Qingquan</creator><creator>Wu, Keting</creator><creator>Tang, Shuang</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</scope><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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3501-7836</orcidid></search><sort><creationdate>20240703</creationdate><title>Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis</title><author>Yu, Hang ; Liu, Qingquan ; Wu, Keting ; Tang, Shuang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c426t-c52fe4f25a92575e2ecb2d155baac7d456e6c9017d71d5f80532198f0878023d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Colorectal cancer</topic><topic>Colorectal carcinoma</topic><topic>Colorectal Neoplasms - drug therapy</topic><topic>Colorectal Neoplasms - pathology</topic><topic>Hematology</topic><topic>Humans</topic><topic>Immune checkpoint inhibitors</topic><topic>Immune Checkpoint Inhibitors - therapeutic use</topic><topic>Immunotherapy</topic><topic>Internal Medicine</topic><topic>Leukocytes (neutrophilic)</topic><topic>Liver</topic><topic>Lymphocytes</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Meta-analysis</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Mutation</topic><topic>Neutrophils</topic><topic>Oncology</topic><topic>Patients</topic><topic>PD-L1 protein</topic><topic>Prognosis</topic><topic>Response rates</topic><topic>Review</topic><topic>Systematic review</topic><topic>Treatment Outcome</topic><topic>Tumors</topic><topic>Vascular endothelial growth factor receptors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Hang</creatorcontrib><creatorcontrib>Liu, Qingquan</creatorcontrib><creatorcontrib>Wu, Keting</creatorcontrib><creatorcontrib>Tang, Shuang</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical and experimental medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Hang</au><au>Liu, Qingquan</au><au>Wu, Keting</au><au>Tang, Shuang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis</atitle><jtitle>Clinical and experimental medicine</jtitle><stitle>Clin Exp Med</stitle><addtitle>Clin Exp Med</addtitle><date>2024-07-03</date><risdate>2024</risdate><volume>24</volume><issue>1</issue><spage>143</spage><pages>143-</pages><artnum>143</artnum><issn>1591-9528</issn><issn>1591-8890</issn><eissn>1591-9528</eissn><abstract>Immune checkpoint inhibitors (ICIs) are approved to treat colorectal cancer (CRC) with mismatch-repair gene deficiency, but the response rate remains low. Value of current biomarkers to predict CRC patients’ response to ICIs is unclear due to heterogeneous study designs and small sample sizes. Here, we aim to assess and quantify the magnitude of multiple biomarkers for predicting the efficacy of ICIs in CRC patients. We systematically searched MEDLINE, Embase, the Cochrane Library, and Web of Science databases (to June 2023) for clinical studies examining biomarkers for efficacy of ICIs in CRC patients. Random-effect models were performed for meta-analysis. We pooled odds ratio (OR) and hazard ratio (HR) with 95% confidence interval (CI) for biomarkers predicting response rate and survival. 36 studies with 1867 patients were included in systematic review. We found that a lower pre-treatment blood neutrophil-to-lymphocyte ratio (
n
=4, HR 0.37, 95%CI 0.21–0.67) predicts good prognosis, higher tumor mutation burden (
n
=10, OR 4.83, 95%CI 2.16–10.78) predicts response to ICIs, and liver metastasis (
n
=16, OR 0.32, 95%CI 0.16–0.63) indicates resistance to ICIs, especially when combined with VEGFR inhibitors. But the predictive value of tumor PD-L1 expression (
n
=9, OR 1.01, 95%CI 0.48–2.14) was insignificant in CRC. Blood neutrophil-to-lymphocyte ratio, tumor mutation burden, and liver metastasis, but not tumor PD-L1 expression, function as significant biomarkers to predict efficacy of ICIs in CRC patients. These findings help stratify CRC patients suitable for ICI treatments, improving efficacy of immunotherapy through precise patient management. (PROSPERO, CRD42022346716).</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38960935</pmid><doi>10.1007/s10238-024-01408-x</doi><orcidid>https://orcid.org/0000-0002-3501-7836</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biomarkers Biomarkers, Tumor - genetics Colorectal cancer Colorectal carcinoma Colorectal Neoplasms - drug therapy Colorectal Neoplasms - pathology Hematology Humans Immune checkpoint inhibitors Immune Checkpoint Inhibitors - therapeutic use Immunotherapy Internal Medicine Leukocytes (neutrophilic) Liver Lymphocytes Medical prognosis Medicine Medicine & Public Health Meta-analysis Metastases Metastasis Mutation Neutrophils Oncology Patients PD-L1 protein Prognosis Response rates Review Systematic review Treatment Outcome Tumors Vascular endothelial growth factor receptors |
title | Biomarkers to predict efficacy of immune checkpoint inhibitors in colorectal cancer patients: a systematic review and meta-analysis |
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