Literature DB >> 33255891

Multi-Omics and Informatics Analysis of FFPE Tissues Derived from Melanoma Patients with Long/Short Responses to Anti-PD1 Therapy Reveals Pathways of Response.

Saurabh K Garg1, Eric A Welsh2, Bin Fang3, Yuliana I Hernandez1, Trevor Rose4,5, Jhanelle Gray5,6, John M Koomen3,5, Anders Berglund5,7, James J Mulé5,8, Joseph Markowitz1,5,8.   

Abstract

Anti-PD-1 based immune therapies are thought to be dependent on antigen processing and presentation mechanisms. To characterize the immune-dependent mechanisms that predispose stage III/IV melanoma patients to respond to anti-PD-1 therapies, we performed a multi-omics study consisting of expression proteomics and targeted immune-oncology-based mRNA sequencing. Formalin-fixed paraffin-embedded tissue samples were obtained from stage III/IV patients with melanoma prior to anti-PD-1 therapy. The patients were first stratified into poor and good responders based on whether their tumors had or had not progressed while on anti-PD-1 therapy for 1 year. We identified 263 protein/gene candidates that displayed differential expression, of which 223 were identified via proteomics and 40 via targeted-mRNA analyses. The downstream analyses of expression profiles using MetaCore software demonstrated an enrichment of immune system pathways involved in antigen processing/presentation and cytokine production/signaling. Pathway analyses showed interferon (IFN)-γ-mediated signaling via NF-κB and JAK/STAT pathways to affect immune processes in a cell-specific manner and to interact with the inducible nitric oxide synthase. We review these findings within the context of available literature on the efficacy of anti-PD-1 therapy. The comparison of good and poor responders, using efficacy of PD-1-based therapy at 1 year, elucidated the role of antigen presentation in mediating response or resistance to anti-PD-1 blockade.

Entities:  

Keywords:  anti-PD-1; antigen presentation; informatics; melanoma; pathways

Year:  2020        PMID: 33255891      PMCID: PMC7768436          DOI: 10.3390/cancers12123515

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  132 in total

1.  Cytotoxic T lymphocytes block tumor growth both by lytic activity and IFNγ-dependent cell-cycle arrest.

Authors:  Hirokazu Matsushita; Akihiro Hosoi; Satoshi Ueha; Jun Abe; Nao Fujieda; Michio Tomura; Ryuji Maekawa; Kouji Matsushima; Osamu Ohara; Kazuhiro Kakimi
Journal:  Cancer Immunol Res       Date:  2014-08-15       Impact factor: 11.151

2.  Atezolizumab, vemurafenib, and cobimetinib as first-line treatment for unresectable advanced BRAFV600 mutation-positive melanoma (IMspire150): primary analysis of the randomised, double-blind, placebo-controlled, phase 3 trial.

Authors:  Ralf Gutzmer; Daniil Stroyakovskiy; Helen Gogas; Caroline Robert; Karl Lewis; Svetlana Protsenko; Rodrigo P Pereira; Thomas Eigentler; Piotr Rutkowski; Lev Demidov; Georgy Moiseevich Manikhas; Yibing Yan; Kuan-Chieh Huang; Anne Uyei; Virginia McNally; Grant A McArthur; Paolo A Ascierto
Journal:  Lancet       Date:  2020-06-13       Impact factor: 79.321

3.  Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data.

Authors:  Julien Racle; Kaat de Jonge; Petra Baumgaertner; Daniel E Speiser; David Gfeller
Journal:  Elife       Date:  2017-11-13       Impact factor: 8.140

4.  TGFβ attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells.

Authors:  Sanjeev Mariathasan; Shannon J Turley; Dorothee Nickles; Alessandra Castiglioni; Kobe Yuen; Yulei Wang; Edward E Kadel; Hartmut Koeppen; Jillian L Astarita; Rafael Cubas; Suchit Jhunjhunwala; Romain Banchereau; Yagai Yang; Yinghui Guan; Cecile Chalouni; James Ziai; Yasin Şenbabaoğlu; Stephen Santoro; Daniel Sheinson; Jeffrey Hung; Jennifer M Giltnane; Andrew A Pierce; Kathryn Mesh; Steve Lianoglou; Johannes Riegler; Richard A D Carano; Pontus Eriksson; Mattias Höglund; Loan Somarriba; Daniel L Halligan; Michiel S van der Heijden; Yohann Loriot; Jonathan E Rosenberg; Lawrence Fong; Ira Mellman; Daniel S Chen; Marjorie Green; Christina Derleth; Gregg D Fine; Priti S Hegde; Richard Bourgon; Thomas Powles
Journal:  Nature       Date:  2018-02-14       Impact factor: 49.962

5.  Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology.

Authors:  Gregor Sturm; Francesca Finotello; Florent Petitprez; Jitao David Zhang; Jan Baumbach; Wolf H Fridman; Markus List; Tatsiana Aneichyk
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.931

6.  Integrative Bioinformatics Approaches to Map Potential Novel Genes and Pathways Involved in Ovarian Cancer.

Authors:  S Udhaya Kumar; D Thirumal Kumar; R Siva; C George Priya Doss; Hatem Zayed
Journal:  Front Bioeng Biotechnol       Date:  2019-12-17

7.  Secretome identification of immune cell factors mediating metastatic cell homing.

Authors:  Brian A Aguado; Jia J Wu; Samira M Azarin; Dhaval Nanavati; Shreyas S Rao; Grace G Bushnell; Chaitanya B Medicherla; Lonnie D Shea
Journal:  Sci Rep       Date:  2015-12-04       Impact factor: 4.379

8.  Angiogenesis and melanoma.

Authors:  Domenico Ribatti; Tiziana Annese; Vito Longo
Journal:  Cancers (Basel)       Date:  2010-02-25       Impact factor: 6.639

Review 9.  Combining Immune Checkpoint Inhibitors With Conventional Cancer Therapy.

Authors:  Yiyi Yan; Anagha Bangalore Kumar; Heidi Finnes; Svetomir N Markovic; Sean Park; Roxana S Dronca; Haidong Dong
Journal:  Front Immunol       Date:  2018-07-27       Impact factor: 7.561

10.  Chemo-immunotherapy combination after PD-1 inhibitor failure improves clinical outcomes in metastatic melanoma patients.

Authors:  Jesus Vera Aguilera; Jonas Paludo; Robert R McWilliams; Henan Zhang; Ying Li; Anagha B Kumar; Jarrett Failing; Lisa A Kottschade; Matthew S Block; Svetomir N Markovic; Haidong Dong; Roxana S Dronca; Yiyi Yan
Journal:  Melanoma Res       Date:  2020-08       Impact factor: 3.199

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  1 in total

1.  Evaluation of the EdgeSeq Precision Immuno-Oncology Panel for Gene Expression Profiling From Clinical Formalin-Fixed Paraffin-Embedded Tumor Specimens.

Authors:  Yang Shi; Xiaopeng Ma; Wei Shen; Tengfei Liu; Liang Liang; Silu Liu; Zhirong Shen; Yun Zhang; Pei Zhang
Journal:  Front Cell Dev Biol       Date:  2022-05-27
  1 in total

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