Literature DB >> 30181337

T Cell-Inflamed versus Non-T Cell-Inflamed Tumors: A Conceptual Framework for Cancer Immunotherapy Drug Development and Combination Therapy Selection.

Jonathan A Trujillo1, Randy F Sweis1, Riyue Bao2, Jason J Luke3.   

Abstract

Immunotherapies such as checkpoint-blocking antibodies and adoptive cell transfer are emerging as treatments for a growing number of cancers. Despite clinical activity of immunotherapies across a range of cancer types, the majority of patients fail to respond to these treatments and resistance mechanisms remain incompletely defined. Responses to immunotherapy preferentially occur in tumors with a preexisting antitumor T-cell response that can most robustly be measured via expression of dendritic cell and CD8+ T cell-associated genes. The tumor subset with high expression of this signature has been described as the T cell-"inflamed" phenotype. Segregating tumors by expression of the inflamed signature may help predict immunotherapy responsiveness. Understanding mechanisms of resistance in both the T cell-inflamed and noninflamed subsets of tumors will be critical in overcoming treatment failure and expanding the proportion of patients responding to current immunotherapies. To maximize the impact of immunotherapy drug development, pretreatment stratification of targets associated with either the T cell-inflamed or noninflamed tumor microenvironment should be employed. Similarly, biomarkers predictive of responsiveness to specific immunomodulatory therapies should guide therapy selection in a growing landscape of treatment options. Combination strategies may ultimately require converting non-T cell-inflamed tumors into T cell-inflamed tumors as a means to sensitize tumors to therapies dependent on T-cell killing. Cancer Immunol Res; 6(9); 990-1000. ©2018 AACR. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30181337      PMCID: PMC6145135          DOI: 10.1158/2326-6066.CIR-18-0277

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  85 in total

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Journal:  Cancer Discov       Date:  2018-03-06       Impact factor: 39.397

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Journal:  Immunity       Date:  2016-02-09       Impact factor: 31.745

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6.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

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Authors:  Christopher G Peña; Yuji Nakada; Hatice D Saatcioglu; Gina M Aloisio; Ileana Cuevas; Song Zhang; David S Miller; Jayanthi S Lea; Kwok-Kin Wong; Ralph J DeBerardinis; Antonio L Amelio; Rolf A Brekken; Diego H Castrillon
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Review 8.  Molecular pathogenesis of IDH mutations in gliomas.

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Journal:  Brain Tumor Pathol       Date:  2012-03-08       Impact factor: 3.154

9.  Multiple genetic alterations cause frequent and heterogeneous human histocompatibility leukocyte antigen class I loss in cervical cancer.

Authors:  L A Koopman; W E Corver; A R van der Slik; M J Giphart; G J Fleuren
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10.  Into the clinic: Talimogene laherparepvec (T-VEC), a first-in-class intratumoral oncolytic viral therapy.

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Journal:  J Immunother Cancer       Date:  2016-09-20       Impact factor: 13.751

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  123 in total

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2.  Intratumoral immune activation with TLR4 agonist synergizes with effector T cells to eradicate established murine tumors.

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Review 3.  Wnts and the hallmarks of cancer.

Authors:  Zheng Zhong; Jia Yu; David M Virshup; Babita Madan
Journal:  Cancer Metastasis Rev       Date:  2020-09       Impact factor: 9.264

4.  JMJD3 regulates CD4 T cell trafficking by targeting actin cytoskeleton regulatory gene Pdlim4.

Authors:  Chuntang Fu; Qingtian Li; Jia Zou; Changsheng Xing; Mei Luo; Bingnan Yin; Junjun Chu; Jiaming Yu; Xin Liu; Helen Y Wang; Rong-Fu Wang
Journal:  J Clin Invest       Date:  2019-08-08       Impact factor: 14.808

5.  Quantitative evaluation of tumor-specific T cells in tumors and lymphoid tissues.

Authors:  Kathleen M Kokolus; Nataša Obermajer; Pawel Kalinski
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6.  A Genetic Screen to Identify Gain- and Loss-of-Function Modifications that Enhance T-cell Infiltration into Tumors.

Authors:  Laura M Rogers; Zhaoming Wang; Sarah L Mott; Adam J Dupuy; George J Weiner
Journal:  Cancer Immunol Res       Date:  2020-07-01       Impact factor: 11.151

7.  STING Pathway Expression Identifies NSCLC With an Immune-Responsive Phenotype.

Authors:  Carminia M Della Corte; Triparna Sen; Carl M Gay; Kavya Ramkumar; Lixia Diao; Robert J Cardnell; Bertha Leticia Rodriguez; C Allison Stewart; Vassiliki A Papadimitrakopoulou; Laura Gibson; Jared J Fradette; Qi Wang; Youhong Fan; David H Peng; Marcelo V Negrao; Ignacio I Wistuba; Junya Fujimoto; Luisa M Solis Soto; Carmen Behrens; Ferdinandos Skoulidis; John V Heymach; Jing Wang; Don L Gibbons; Lauren A Byers
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8.  The T-Cell-Inflammation Status Can Predict Outcomes of Adjuvant Chemotherapy in Patients with Gastric Cancer.

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Review 10.  Dendritic Cells, the T-cell-inflamed Tumor Microenvironment, and Immunotherapy Treatment Response.

Authors:  Christopher S Garris; Jason J Luke
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