Loading…
Biomarkers of response to immune checkpoint blockade in cancer treatment
•Biomarkers for immune checkpoint inhibitors (ICPIs) in cancer are crucial in improving patient selection, predicting response and toxicity.•Currently available biomarkers are driven from patients’ serum, tumor tissue, circulating tumor cells/DNA, and gut microbiome.•No single biomarker can provide...
Saved in:
Published in: | Critical reviews in oncology/hematology 2018-10, Vol.130, p.108-120 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123 |
---|---|
cites | cdi_FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123 |
container_end_page | 120 |
container_issue | |
container_start_page | 108 |
container_title | Critical reviews in oncology/hematology |
container_volume | 130 |
creator | Fujii, Takeo Naing, Aung Rolfo, Christian Hajjar, Joud |
description | •Biomarkers for immune checkpoint inhibitors (ICPIs) in cancer are crucial in improving patient selection, predicting response and toxicity.•Currently available biomarkers are driven from patients’ serum, tumor tissue, circulating tumor cells/DNA, and gut microbiome.•No single biomarker can provide accurate response or toxicity prediction, however, combining multiple biomarkers might be a promising model.
Immune checkpoint inhibitors (ICPis) are emerging as the new corner stone of cancer treatment due to their ability to produce durable responses in patients with various cancers. But, objective responses to ICPis vary among each type of cancer. Further, treatment with ICPis is often associated with risk of developing immune-related adverse event, which are potentially life-threatening if untreated, indicating a need for patient selection. However, given the complexity of the tumor microenvironment and the dynamic interaction between tumor and immune cells, development of robust biomarkers to predict patients who are likely to respond to treatment with ICPis remains a challenge. In this review we present an overview of the immune monitoring strategies that are currently in use to enable appropriate patient selection. |
doi_str_mv | 10.1016/j.critrevonc.2018.07.010 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2101919155</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1040842818301987</els_id><sourcerecordid>2101919155</sourcerecordid><originalsourceid>FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123</originalsourceid><addsrcrecordid>eNqFkMFOwzAMQCMEYmPwCyhHLi1OmzbtkU3AkCZxgXOUJp7I1jYl6Sbx92TagCOyJefwbMePEMogZcDK-02qvR097l2v0wxYlYJIgcEZmbJK1Anwkp3HN3BIKp5VE3IVwgYAOC_FJZnkwOqyBjEly7l1nfJb9IG6NfUYBtcHpKOjtut2PVL9gXo7ONuPtGmd3iqD1PZUq16jp_ETauywH6_JxVq1AW9OdUbenx7fFstk9fr8snhYJZpzGBNTZsKsDSouIK8ENoVADrwRJWosqrLJGZrK1Hle8LKOWAYFq-tcxVTAsnxG7o5zB-8-dxhG2dmgsW1Vj24XZBYF1TGKIqLVEdXeheBxLQdv47FfkoE8eJQb-edRHjxKEDJ6jK23py27pkPz2_gjLgLzI4Dx1r1FL4O2GJUY61GP0jj7_5ZvH8GJcQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2101919155</pqid></control><display><type>article</type><title>Biomarkers of response to immune checkpoint blockade in cancer treatment</title><source>Elsevier</source><creator>Fujii, Takeo ; Naing, Aung ; Rolfo, Christian ; Hajjar, Joud</creator><creatorcontrib>Fujii, Takeo ; Naing, Aung ; Rolfo, Christian ; Hajjar, Joud</creatorcontrib><description>•Biomarkers for immune checkpoint inhibitors (ICPIs) in cancer are crucial in improving patient selection, predicting response and toxicity.•Currently available biomarkers are driven from patients’ serum, tumor tissue, circulating tumor cells/DNA, and gut microbiome.•No single biomarker can provide accurate response or toxicity prediction, however, combining multiple biomarkers might be a promising model.
Immune checkpoint inhibitors (ICPis) are emerging as the new corner stone of cancer treatment due to their ability to produce durable responses in patients with various cancers. But, objective responses to ICPis vary among each type of cancer. Further, treatment with ICPis is often associated with risk of developing immune-related adverse event, which are potentially life-threatening if untreated, indicating a need for patient selection. However, given the complexity of the tumor microenvironment and the dynamic interaction between tumor and immune cells, development of robust biomarkers to predict patients who are likely to respond to treatment with ICPis remains a challenge. In this review we present an overview of the immune monitoring strategies that are currently in use to enable appropriate patient selection.</description><identifier>ISSN: 1040-8428</identifier><identifier>EISSN: 1879-0461</identifier><identifier>DOI: 10.1016/j.critrevonc.2018.07.010</identifier><identifier>PMID: 30196907</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Immune checkpoint ; Immune profiling ; Predictive biomarker ; Response ; T cells</subject><ispartof>Critical reviews in oncology/hematology, 2018-10, Vol.130, p.108-120</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright © 2018 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123</citedby><cites>FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123</cites><orcidid>0000-0002-5109-0267 ; 0000-0003-4633-1043</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30196907$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fujii, Takeo</creatorcontrib><creatorcontrib>Naing, Aung</creatorcontrib><creatorcontrib>Rolfo, Christian</creatorcontrib><creatorcontrib>Hajjar, Joud</creatorcontrib><title>Biomarkers of response to immune checkpoint blockade in cancer treatment</title><title>Critical reviews in oncology/hematology</title><addtitle>Crit Rev Oncol Hematol</addtitle><description>•Biomarkers for immune checkpoint inhibitors (ICPIs) in cancer are crucial in improving patient selection, predicting response and toxicity.•Currently available biomarkers are driven from patients’ serum, tumor tissue, circulating tumor cells/DNA, and gut microbiome.•No single biomarker can provide accurate response or toxicity prediction, however, combining multiple biomarkers might be a promising model.
Immune checkpoint inhibitors (ICPis) are emerging as the new corner stone of cancer treatment due to their ability to produce durable responses in patients with various cancers. But, objective responses to ICPis vary among each type of cancer. Further, treatment with ICPis is often associated with risk of developing immune-related adverse event, which are potentially life-threatening if untreated, indicating a need for patient selection. However, given the complexity of the tumor microenvironment and the dynamic interaction between tumor and immune cells, development of robust biomarkers to predict patients who are likely to respond to treatment with ICPis remains a challenge. In this review we present an overview of the immune monitoring strategies that are currently in use to enable appropriate patient selection.</description><subject>Immune checkpoint</subject><subject>Immune profiling</subject><subject>Predictive biomarker</subject><subject>Response</subject><subject>T cells</subject><issn>1040-8428</issn><issn>1879-0461</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkMFOwzAMQCMEYmPwCyhHLi1OmzbtkU3AkCZxgXOUJp7I1jYl6Sbx92TagCOyJefwbMePEMogZcDK-02qvR097l2v0wxYlYJIgcEZmbJK1Anwkp3HN3BIKp5VE3IVwgYAOC_FJZnkwOqyBjEly7l1nfJb9IG6NfUYBtcHpKOjtut2PVL9gXo7ONuPtGmd3iqD1PZUq16jp_ETauywH6_JxVq1AW9OdUbenx7fFstk9fr8snhYJZpzGBNTZsKsDSouIK8ENoVADrwRJWosqrLJGZrK1Hle8LKOWAYFq-tcxVTAsnxG7o5zB-8-dxhG2dmgsW1Vj24XZBYF1TGKIqLVEdXeheBxLQdv47FfkoE8eJQb-edRHjxKEDJ6jK23py27pkPz2_gjLgLzI4Dx1r1FL4O2GJUY61GP0jj7_5ZvH8GJcQ</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Fujii, Takeo</creator><creator>Naing, Aung</creator><creator>Rolfo, Christian</creator><creator>Hajjar, Joud</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5109-0267</orcidid><orcidid>https://orcid.org/0000-0003-4633-1043</orcidid></search><sort><creationdate>201810</creationdate><title>Biomarkers of response to immune checkpoint blockade in cancer treatment</title><author>Fujii, Takeo ; Naing, Aung ; Rolfo, Christian ; Hajjar, Joud</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Immune checkpoint</topic><topic>Immune profiling</topic><topic>Predictive biomarker</topic><topic>Response</topic><topic>T cells</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fujii, Takeo</creatorcontrib><creatorcontrib>Naing, Aung</creatorcontrib><creatorcontrib>Rolfo, Christian</creatorcontrib><creatorcontrib>Hajjar, Joud</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Critical reviews in oncology/hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fujii, Takeo</au><au>Naing, Aung</au><au>Rolfo, Christian</au><au>Hajjar, Joud</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomarkers of response to immune checkpoint blockade in cancer treatment</atitle><jtitle>Critical reviews in oncology/hematology</jtitle><addtitle>Crit Rev Oncol Hematol</addtitle><date>2018-10</date><risdate>2018</risdate><volume>130</volume><spage>108</spage><epage>120</epage><pages>108-120</pages><issn>1040-8428</issn><eissn>1879-0461</eissn><abstract>•Biomarkers for immune checkpoint inhibitors (ICPIs) in cancer are crucial in improving patient selection, predicting response and toxicity.•Currently available biomarkers are driven from patients’ serum, tumor tissue, circulating tumor cells/DNA, and gut microbiome.•No single biomarker can provide accurate response or toxicity prediction, however, combining multiple biomarkers might be a promising model.
Immune checkpoint inhibitors (ICPis) are emerging as the new corner stone of cancer treatment due to their ability to produce durable responses in patients with various cancers. But, objective responses to ICPis vary among each type of cancer. Further, treatment with ICPis is often associated with risk of developing immune-related adverse event, which are potentially life-threatening if untreated, indicating a need for patient selection. However, given the complexity of the tumor microenvironment and the dynamic interaction between tumor and immune cells, development of robust biomarkers to predict patients who are likely to respond to treatment with ICPis remains a challenge. In this review we present an overview of the immune monitoring strategies that are currently in use to enable appropriate patient selection.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>30196907</pmid><doi>10.1016/j.critrevonc.2018.07.010</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-5109-0267</orcidid><orcidid>https://orcid.org/0000-0003-4633-1043</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1040-8428 |
ispartof | Critical reviews in oncology/hematology, 2018-10, Vol.130, p.108-120 |
issn | 1040-8428 1879-0461 |
language | eng |
recordid | cdi_proquest_miscellaneous_2101919155 |
source | Elsevier |
subjects | Immune checkpoint Immune profiling Predictive biomarker Response T cells |
title | Biomarkers of response to immune checkpoint blockade in cancer treatment |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T17%3A23%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Biomarkers%20of%20response%20to%20immune%20checkpoint%20blockade%20in%20cancer%20treatment&rft.jtitle=Critical%20reviews%20in%20oncology/hematology&rft.au=Fujii,%20Takeo&rft.date=2018-10&rft.volume=130&rft.spage=108&rft.epage=120&rft.pages=108-120&rft.issn=1040-8428&rft.eissn=1879-0461&rft_id=info:doi/10.1016/j.critrevonc.2018.07.010&rft_dat=%3Cproquest_cross%3E2101919155%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c440t-d627dfdea470387eb57e404b76ece586b31ed8d9335469ea42051993a93aa0123%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2101919155&rft_id=info:pmid/30196907&rfr_iscdi=true |