Immune oncology, immune responsiveness and the theory of everything
Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvi...
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Published in | Journal for immunotherapy of cancer Vol. 6; no. 1; p. 50 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
BioMed Central Ltd
05.06.2018
BMJ Publishing Group LTD BioMed Central BMJ Publishing Group |
Subjects | |
Online Access | Get full text |
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Abstract | Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvironment: immune-active, immune-deserted and immune-excluded. This trichotomy is observable across most solid tumors (although the frequency of each landscape varies depending on tumor tissue of origin) and is associated with cancer prognosis and response to checkpoint inhibitor therapy (CIT). Various gene signatures (e.g. Immunological Constant of Rejection - ICR and Tumor Inflammation Signature - TIS) that delineate these landscapes have been described by different groups. In an effort to explain the mechanisms of cancer immune responsiveness or resistance to CIT, several models have been proposed that are loosely associated with the three landscapes. Here, we propose a strategy to integrate compelling data from various paradigms into a "Theory of Everything". Founded upon this unified theory, we also propose the creation of a task force led by the Society for Immunotherapy of Cancer (SITC) aimed at systematically addressing salient questions relevant to cancer immune responsiveness and immune evasion. This multidisciplinary effort will encompass aspects of genetics, tumor cell biology, and immunology that are pertinent to the understanding of this multifaceted problem. |
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AbstractList | Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvironment: immune-active, immune-deserted and immune-excluded. This trichotomy is observable across most solid tumors (although the frequency of each landscape varies depending on tumor tissue of origin) and is associated with cancer prognosis and response to checkpoint inhibitor therapy (CIT). Various gene signatures (e.g. Immunological Constant of Rejection - ICR and Tumor Inflammation Signature - TIS) that delineate these landscapes have been described by different groups. In an effort to explain the mechanisms of cancer immune responsiveness or resistance to CIT, several models have been proposed that are loosely associated with the three landscapes. Here, we propose a strategy to integrate compelling data from various paradigms into a "Theory of Everything". Founded upon this unified theory, we also propose the creation of a task force led by the Society for Immunotherapy of Cancer (SITC) aimed at systematically addressing salient questions relevant to cancer immune responsiveness and immune evasion. This multidisciplinary effort will encompass aspects of genetics, tumor cell biology, and immunology that are pertinent to the understanding of this multifaceted problem. Keywords: Cancer immunotherapy, Checkpoint inhibitors, Immune resistance Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvironment: immune-active, immune-deserted and immune-excluded. This trichotomy is observable across most solid tumors (although the frequency of each landscape varies depending on tumor tissue of origin) and is associated with cancer prognosis and response to checkpoint inhibitor therapy (CIT). Various gene signatures (e.g. Immunological Constant of Rejection - ICR and Tumor Inflammation Signature - TIS) that delineate these landscapes have been described by different groups. In an effort to explain the mechanisms of cancer immune responsiveness or resistance to CIT, several models have been proposed that are loosely associated with the three landscapes. Here, we propose a strategy to integrate compelling data from various paradigms into a "Theory of Everything". Founded upon this unified theory, we also propose the creation of a task force led by the Society for Immunotherapy of Cancer (SITC) aimed at systematically addressing salient questions relevant to cancer immune responsiveness and immune evasion. This multidisciplinary effort will encompass aspects of genetics, tumor cell biology, and immunology that are pertinent to the understanding of this multifaceted problem. Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvironment: immune-active , immune-deserted and immune-excluded . This trichotomy is observable across most solid tumors (although the frequency of each landscape varies depending on tumor tissue of origin) and is associated with cancer prognosis and response to checkpoint inhibitor therapy ( CIT ). Various gene signatures (e.g. Immunological Constant of Rejection - ICR and Tumor Inflammation Signature - TIS ) that delineate these landscapes have been described by different groups. In an effort to explain the mechanisms of cancer immune responsiveness or resistance to CIT, several models have been proposed that are loosely associated with the three landscapes. Here, we propose a strategy to integrate compelling data from various paradigms into a “ Theory of Everything ”. Founded upon this unified theory, we also propose the creation of a task force led by the Society for Immunotherapy of Cancer ( SITC ) aimed at systematically addressing salient questions relevant to cancer immune responsiveness and immune evasion. This multidisciplinary effort will encompass aspects of genetics, tumor cell biology, and immunology that are pertinent to the understanding of this multifaceted problem. Abstract Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent upon the pre-existing immune contexture of individual cancers. Available data suggest that three landscapes best define the cancer microenvironment: immune-active, immune-deserted and immune-excluded. This trichotomy is observable across most solid tumors (although the frequency of each landscape varies depending on tumor tissue of origin) and is associated with cancer prognosis and response to checkpoint inhibitor therapy (CIT). Various gene signatures (e.g. Immunological Constant of Rejection - ICR and Tumor Inflammation Signature - TIS) that delineate these landscapes have been described by different groups. In an effort to explain the mechanisms of cancer immune responsiveness or resistance to CIT, several models have been proposed that are loosely associated with the three landscapes. Here, we propose a strategy to integrate compelling data from various paradigms into a “Theory of Everything”. Founded upon this unified theory, we also propose the creation of a task force led by the Society for Immunotherapy of Cancer (SITC) aimed at systematically addressing salient questions relevant to cancer immune responsiveness and immune evasion. This multidisciplinary effort will encompass aspects of genetics, tumor cell biology, and immunology that are pertinent to the understanding of this multifaceted problem. |
ArticleNumber | 50 |
Audience | Academic |
Author | Kannan, Deepti Samayoa, Josue Patel, Maulik Kline, Douglas E Kongpachith, Sarah Kaufman, Howard L Butterfield, Lisa H Halliwill, Kyle Turan, Tolga Hendrickx, Wouter Lu, Rongze Bedognetti, Davide Cesano, Alessandra Marincola, Francesco Tanlimco, Sonia G Hudson, Thomas J Matthew Barnes, J |
Author_xml | – sequence: 1 givenname: Tolga surname: Turan fullname: Turan, Tolga organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 2 givenname: Deepti surname: Kannan fullname: Kannan, Deepti organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 3 givenname: Maulik surname: Patel fullname: Patel, Maulik organization: Clinical Pharmacology and Pharmacometrics, Abbvie, Redwood City, CA, USA – sequence: 4 givenname: J surname: Matthew Barnes fullname: Matthew Barnes, J organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 5 givenname: Sonia G surname: Tanlimco fullname: Tanlimco, Sonia G organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 6 givenname: Rongze surname: Lu fullname: Lu, Rongze organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 7 givenname: Kyle surname: Halliwill fullname: Halliwill, Kyle organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 8 givenname: Sarah surname: Kongpachith fullname: Kongpachith, Sarah organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 9 givenname: Douglas E surname: Kline fullname: Kline, Douglas E organization: Immune-Oncology, AbbVie, North Chicago, IL, USA – sequence: 10 givenname: Wouter surname: Hendrickx fullname: Hendrickx, Wouter organization: Tumor Biology, Immunology, and Therapy Section, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar – sequence: 11 givenname: Alessandra surname: Cesano fullname: Cesano, Alessandra organization: Nanostring Technologies, Inc., Seattle, WA, USA – sequence: 12 givenname: Lisa H surname: Butterfield fullname: Butterfield, Lisa H organization: UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA – sequence: 13 givenname: Howard L surname: Kaufman fullname: Kaufman, Howard L organization: Departments of Surgery and Medicine, Rutgers University, New Jersey, NJ, USA – sequence: 14 givenname: Thomas J surname: Hudson fullname: Hudson, Thomas J organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 15 givenname: Davide surname: Bedognetti fullname: Bedognetti, Davide organization: Tumor Biology, Immunology, and Therapy Section, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar – sequence: 16 givenname: Francesco surname: Marincola fullname: Marincola, Francesco organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA – sequence: 17 givenname: Josue orcidid: 0000-0003-3609-8954 surname: Samayoa fullname: Samayoa, Josue email: josue.samayoa@abbvie.com organization: Immune-Oncology Discovery, AbbVie, Redwood City, CA, USA. josue.samayoa@abbvie.com |
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Snippet | Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely dependent... Abstract Anti-cancer immunotherapy is encountering its own checkpoint. Responses are dramatic and long lasting but occur in a subset of tumors and are largely... |
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SubjectTerms | Analysis Antigens Breast cancer Cancer Cancer immunotherapy Cancer treatment Cells (Biology) Checkpoint inhibitors Gene expression Genes Humans Hypothesis Immune resistance Immune response Immune Tolerance Immunotherapy Kinases Neoplasms - drug therapy Neoplasms - genetics Neoplasms - immunology Tumors |
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Title | Immune oncology, immune responsiveness and the theory of everything |
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