Literature DB >> 30912767

Failed immune responses across multiple pathologies share pan-tumor and circulating lymphocytic targets.

Anne Monette1,2,3,4, Antigoni Morou1,3, Nadia A Al-Banna1,2,5,6, Louise Rousseau1, Jean-Baptiste Lattouf1,2,7, Sara Rahmati8, Tomas Tokar8, Jean-Pierre Routy9, Jean-François Cailhier1,2,3,10, Daniel E Kaufmann1,3, Igor Jurisica8,11,12,13, Réjean Lapointe1,2,3.   

Abstract

Rationale Tumor infiltrating lymphocytes are widely associated with positive outcomes, yet carry key indicators of a systemic failed immune response against unresolved cancer. Cancer immunotherapies can reverse their tolerance phenotypes, while preserving tumor-reactivity and neoantigen-specificity shared with circulating immune cells. Objectives We performed comprehensive transcriptomic analyses to identify gene signatures common to circulating and tumor infiltrating lymphocytes in the context of clear cell renal cell carcinoma. Modulated genes also associated with disease outcome were validated in other cancer types. Findings Using bioinformatics, we identified practical diagnostic markers and actionable targets of the failed immune response. On circulating lymphocytes, three genes, LEF1, FASLG, and MMP9, could efficiently stratify patients from healthy control donors. From their associations with resistance to cancer immunotherapies and microbial infections, we uncovered not only pan-cancer, but pan-pathology failed immune response profiles. A prominent lymphocytic matrix metallopeptidase cell migration pathway, is central to a panoply of diseases and tumor immunogenicity, correlates with multi-cancer recurrence, and identifies a feasible, non-invasive approach to pan-pathology diagnoses. Conclusions The non-invasive differently expressed genes we have identified warrant future investigation towards the development of their potential in precision diagnostics and precision pan-disease immunotherapeutics.

Entities:  

Keywords:  Bioinformatics; Cancer; Immunology; Immunotherapy; Oncology

Year:  2019        PMID: 30912767      PMCID: PMC6546483          DOI: 10.1172/JCI125301

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  78 in total

1.  Sensitive tumour detection and classification using plasma cell-free DNA methylomes.

Authors:  Shu Yi Shen; Rajat Singhania; Gordon Fehringer; Ankur Chakravarthy; Michael H A Roehrl; Dianne Chadwick; Philip C Zuzarte; Ayelet Borgida; Ting Ting Wang; Tiantian Li; Olena Kis; Zhen Zhao; Anna Spreafico; Tiago da Silva Medina; Yadon Wang; David Roulois; Ilias Ettayebi; Zhuo Chen; Signy Chow; Tracy Murphy; Andrea Arruda; Grainne M O'Kane; Jessica Liu; Mark Mansour; John D McPherson; Catherine O'Brien; Natasha Leighl; Philippe L Bedard; Neil Fleshner; Geoffrey Liu; Mark D Minden; Steven Gallinger; Anna Goldenberg; Trevor J Pugh; Michael M Hoffman; Scott V Bratman; Rayjean J Hung; Daniel D De Carvalho
Journal:  Nature       Date:  2018-11-14       Impact factor: 49.962

2.  Nivolumab plus Ipilimumab versus Sunitinib in Advanced Renal-Cell Carcinoma.

Authors:  Robert J Motzer; Nizar M Tannir; David F McDermott; Osvaldo Arén Frontera; Bohuslav Melichar; Toni K Choueiri; Elizabeth R Plimack; Philippe Barthélémy; Camillo Porta; Saby George; Thomas Powles; Frede Donskov; Victoria Neiman; Christian K Kollmannsberger; Pamela Salman; Howard Gurney; Robert Hawkins; Alain Ravaud; Marc-Oliver Grimm; Sergio Bracarda; Carlos H Barrios; Yoshihiko Tomita; Daniel Castellano; Brian I Rini; Allen C Chen; Sabeen Mekan; M Brent McHenry; Megan Wind-Rotolo; Justin Doan; Padmanee Sharma; Hans J Hammers; Bernard Escudier
Journal:  N Engl J Med       Date:  2018-03-21       Impact factor: 91.245

3.  The diurnal variation of matrix metalloproteinase-9 and its associated factors in human tears.

Authors:  Maria Markoulli; Eric Papas; Nerida Cole; Brien A Holden
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-03-21       Impact factor: 4.799

4.  Discovery of a highly selective chemical inhibitor of matrix metalloproteinase-9 (MMP-9) that allosterically inhibits zymogen activation.

Authors:  Robert H Scannevin; Richard Alexander; Tara Mezzasalma Haarlander; Sharon L Burke; Monica Singer; Cuifen Huo; Yue-Mei Zhang; Diane Maguire; John Spurlino; Ingrid Deckman; Karen I Carroll; Frank Lewandowski; Eric Devine; Keli Dzordzorme; Brett Tounge; Cindy Milligan; Shariff Bayoumy; Robyn Williams; Celine Schalk-Hihi; Kristi Leonard; Paul Jackson; Matthew Todd; Lawrence C Kuo; Kenneth J Rhodes
Journal:  J Biol Chem       Date:  2017-08-31       Impact factor: 5.157

Review 5.  Blood-based analyses of cancer: circulating tumor cells and circulating tumor DNA.

Authors:  Daniel A Haber; Victor E Velculescu
Journal:  Cancer Discov       Date:  2014-05-06       Impact factor: 39.397

6.  CCR2(+)CCR5(+) T cells produce matrix metalloproteinase-9 and osteopontin in the pathogenesis of multiple sclerosis.

Authors:  Wakiro Sato; Atsuko Tomita; Daijyu Ichikawa; Youwei Lin; Hitaru Kishida; Sachiko Miyake; Masafumi Ogawa; Tomoko Okamoto; Miho Murata; Yoshiyuki Kuroiwa; Toshimasa Aranami; Takashi Yamamura
Journal:  J Immunol       Date:  2012-10-15       Impact factor: 5.422

7.  NanoVelcro-captured CTC number concomitant with enhanced serum levels of MMP7 and MMP9 enables accurate prediction of metastasis and poor prognosis in patients with lung adenocarcinoma.

Authors:  Yu Sun; Yangshan Chen; Shuhua Li; Zunfu Ke; Yiyan Lei; Di Xu; Neng Jiang; Yang Zhang; Jessica Cao
Journal:  Int J Nanomedicine       Date:  2017-08-31

8.  TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure.

Authors:  Ankur Chakravarthy; Lubaba Khan; Nathan Peter Bensler; Pinaki Bose; Daniel D De Carvalho
Journal:  Nat Commun       Date:  2018-11-08       Impact factor: 14.919

9.  Gelatinase B/MMP-9 in Tumour Pathogenesis and Progression.

Authors:  Antonietta Rosella Farina; Andrew Reay Mackay
Journal:  Cancers (Basel)       Date:  2014-01-27       Impact factor: 6.639

10.  A pan-cancer proteomic perspective on The Cancer Genome Atlas.

Authors:  Rehan Akbani; Patrick Kwok Shing Ng; Henrica M J Werner; Maria Shahmoradgoli; Fan Zhang; Zhenlin Ju; Wenbin Liu; Ji-Yeon Yang; Kosuke Yoshihara; Jun Li; Shiyun Ling; Elena G Seviour; Prahlad T Ram; John D Minna; Lixia Diao; Pan Tong; John V Heymach; Steven M Hill; Frank Dondelinger; Nicolas Städler; Lauren A Byers; Funda Meric-Bernstam; John N Weinstein; Bradley M Broom; Roeland G W Verhaak; Han Liang; Sach Mukherjee; Yiling Lu; Gordon B Mills
Journal:  Nat Commun       Date:  2014-05-29       Impact factor: 14.919

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  1 in total

1.  NCKAP1 is a Prognostic Biomarker for Inhibition of Cell Growth in Clear Cell Renal Cell Carcinoma.

Authors:  Jiasheng Chen; Jianzhang Ge; Wancong Zhang; Xuqi Xie; Xiaoping Zhong; Shijie Tang
Journal:  Front Genet       Date:  2022-07-26       Impact factor: 4.772

  1 in total

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