Literature DB >> 30151962

Senescence markers: Predictive for response to checkpoint inhibitors.

Alvaro Moreira1, Stefanie Gross1, Michael Constantin Kirchberger1, Michael Erdmann1, Gerold Schuler1, Lucie Heinzerling1.   

Abstract

Recent studies suggest that the age-related remodeling of the immune system, known as immunosenescence, could impact the efficacy of immune checkpoint inhibitors in leukemia or nonsmall cell lung cancer. We investigated whether senescence markers can predict response to checkpoint inhibitor therapy in melanoma patients. The peripheral blood of patients with newly diagnosed, untreated metastatic melanoma was analyzed by flow cytometry to correlate the frequency of senescence markers with clinical response as measured by RECIST after 12 weeks of treatment with immune checkpoint inhibitors. The loss of surface markers CD27 and CD28 or the expression of Tim-3 and CD57 on T cells was associated with resistance to checkpoint inhibitor blockade, presenting these phenotypes as possible predictive biomarkers for checkpoint inhibitor therapy. Immunosenescence seems to impact on the response to checkpoint inhibitor therapy in melanoma patients. Thus, lymphocyte phenotyping for senescence markers, with the introduction of immunosenescence panels, could be predictive for checkpoint inhibitor response.
© 2018 UICC.

Entities:  

Keywords:  biomarker; immune checkpoint inhibitors; immunosenescence; melanoma

Mesh:

Substances:

Year:  2018        PMID: 30151962     DOI: 10.1002/ijc.31763

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  10 in total

Review 1.  A Phenomic Perspective on Factors Influencing Breast Cancer Treatment: Integrating Aging and Lifestyle in Blood and Tissue Biomarker Profiling.

Authors:  Ainhoa Arana Echarri; Mark Beresford; John P Campbell; Robert H Jones; Rachel Butler; Kenneth J Gollob; Patricia C Brum; Dylan Thompson; James E Turner
Journal:  Front Immunol       Date:  2021-02-01       Impact factor: 7.561

2.  Age-related remodelling of the blood immunological portrait and the local tumor immune response in patients with luminal breast cancer.

Authors:  Lieze Berben; Giuseppe Floris; Cindy Kenis; Bruna Dalmasso; Ann Smeets; Hanne Vos; Patrick Neven; Asier Antoranz Martinez; Annouschka Laenen; Hans Wildiers; Sigrid Hatse
Journal:  Clin Transl Immunology       Date:  2020-10-03

3.  Exhaustion and senescence of CD4 and CD8 T cells that express co-stimulatory molecules CD27 and CD28 in subjects that acquired HIV by drug use or by sexual route.

Authors:  Leontina Bănică; Ovidiu Vlaicu; Raluca Jipa; Adrian Abagiu; Ionelia Nicolae; Emil Neaga; Dan Oţelea; Simona Paraschiv
Journal:  Germs       Date:  2021-03-15

4.  p16INK4a Regulates Cellular Senescence in PD-1-Expressing Human T Cells.

Authors:  Valérie Janelle; Mathieu Neault; Marie-Ève Lebel; Dave Maurice De Sousa; Salix Boulet; Ludovic Durrieu; Cédric Carli; Chloé Muzac; Sébastien Lemieux; Nathalie Labrecque; Heather J Melichar; Frédérick A Mallette; Jean-Sébastien Delisle
Journal:  Front Immunol       Date:  2021-08-09       Impact factor: 7.561

5.  Differential expression of individual transcript variants of PD-1 and PD-L2 genes on Th-1/Th-2 status is guaranteed for prognosis prediction in PCNSL.

Authors:  Yasuo Takashima; Atsushi Kawaguchi; Ryuichi Sato; Kenichi Yoshida; Azusa Hayano; Jumpei Homma; Junya Fukai; Yasuo Iwadate; Koji Kajiwara; Shin Ishizawa; Hiroaki Hondoh; Masakazu Nakano; Seishi Ogawa; Kei Tashiro; Ryuya Yamanaka
Journal:  Sci Rep       Date:  2019-07-10       Impact factor: 4.379

Review 6.  The Evolving Role of CD8+CD28- Immunosenescent T Cells in Cancer Immunology.

Authors:  Wei X Huff; Jae Hyun Kwon; Mario Henriquez; Kaleigh Fetcko; Mahua Dey
Journal:  Int J Mol Sci       Date:  2019-06-08       Impact factor: 5.923

7.  Reduced m6A modification predicts malignant phenotypes and augmented Wnt/PI3K-Akt signaling in gastric cancer.

Authors:  Cheng Zhang; Mengqi Zhang; Sai Ge; Wenwen Huang; Xiaoting Lin; Jing Gao; Jifang Gong; Lin Shen
Journal:  Cancer Med       Date:  2019-06-26       Impact factor: 4.452

Review 8.  The Use of Immune Checkpoint Inhibitors in Oncology and the Occurrence of AKI: Where Do We Stand?

Authors:  Rossana Franzin; Giuseppe Stefano Netti; Federica Spadaccino; Camillo Porta; Loreto Gesualdo; Giovanni Stallone; Giuseppe Castellano; Elena Ranieri
Journal:  Front Immunol       Date:  2020-10-08       Impact factor: 7.561

9.  Early prediction of clinical response to checkpoint inhibitor therapy in human solid tumors through mathematical modeling.

Authors:  Joseph D Butner; Geoffrey V Martin; Zhihui Wang; Eugene J Koay; Bruna Corradetti; Mauro Ferrari; Nestor Esnaola; Caroline Chung; David S Hong; James W Welsh; Naomi Hasegawa; Elizabeth A Mittendorf; Steven A Curley; Shu-Hsia Chen; Ping-Ying Pan; Steven K Libutti; Shridar Ganesan; Richard L Sidman; Renata Pasqualini; Wadih Arap; Vittorio Cristini
Journal:  Elife       Date:  2021-11-09       Impact factor: 8.140

Review 10.  Cytokine-Induced Senescence in the Tumor Microenvironment and Its Effects on Anti-Tumor Immune Responses.

Authors:  Maximilian Rentschler; Heidi Braumüller; Priscilla S Briquez; Thomas Wieder
Journal:  Cancers (Basel)       Date:  2022-03-08       Impact factor: 6.639

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.