Literature DB >> 31449889

Serum Antibody Against NY-ESO-1 and XAGE1 Antigens Potentially Predicts Clinical Responses to Anti-Programmed Cell Death-1 Therapy in NSCLC.

Yoshihiro Ohue1, Koji Kurose1, Takahiro Karasaki2, Midori Isobe1, Takaaki Yamaoka1, Junichiro Futami3, Isao Irei4, Takeshi Masuda5, Masaaki Fukuda6, Akitoshi Kinoshita7, Hirokazu Matsushita8, Katsuhiko Shimizu9, Masao Nakata9, Noboru Hattori5, Hiroyuki Yamaguchi10, Minoru Fukuda11, Ryohei Nozawa12, Kazuhiro Kakimi8, Mikio Oka13.   

Abstract

INTRODUCTION: Programmed cell death-1 (PD-1) inhibitors effectively treat NSCLC and prolong survival. Robust biomarkers for predicting clinical benefits of good response and long survival with anti-PD-1 therapy have yet to be identified; therefore, predictive biomarkers are needed to select patients with benefits.
METHODS: We conducted a prospective study to explore whether serum antibody against NY-ESO-1 and/or XAGE1 cancer-testis antigens predicted primarily good clinical response and secondarily long survival with anti-PD-1 therapy for NSCLC. The serum antibody was detected by enzyme-linked immunosorbent assay, and tumor immune microenvironment and mutation burden were analyzed by immunohistochemistry and next-generation sequencing.
RESULTS: In the discovery cohort (n = 13), six antibody-positive NSCLC cases responded to anti-PD-1 therapy (two complete and four partial responses), whereas seven antibody-negative NSCLC cases did not. Antibody positivity was associated with good response and survival, regardless of tumor programmed death ligand 1 (PD-L1) expression, mutation burden, and CD8+ T-cell infiltration. In the validation cohort (n = 75), 17 antibody-positive NSCLC cases responded well to anti-PD-1 therapy as compared with 58 negative NSCLC cases (objective response rate 65% versus 19%, p = 0.0006) and showed significantly prolonged progression-free survival and overall survival. Antibody titers highly correlated with tumor reduction rates. In the multivariate analysis, response biomarkers were tumor programmed death ligand 1 expression and antibody positivity, and only antibody positivity was a significantly better predictive biomarker of progression-free survival (hazard ratio = 0.4, p = 0.01) and overall survival (hazard ratio = 0.2, p = 0.004).
CONCLUSIONS: Our results suggest that NY-ESO-1 and/or XAGE1 serum antibodies are useful biomarkers for predicting clinical benefits in anti-PD-1 therapy for NSCLC and probably for other cancers.
Copyright © 2019 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anti–programmed death 1 therapy; Biomarker; Cancer-testis antigen; NSCLC; Serum antibody

Year:  2019        PMID: 31449889     DOI: 10.1016/j.jtho.2019.08.008

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  16 in total

1.  Melanoma-specific antigen-associated antitumor antibody reactivity as an immune-related biomarker for targeted immunotherapies.

Authors:  Annika Rähni; Mariliis Jaago; Helle Sadam; Nadežda Pupina; Arno Pihlak; Jürgen Tuvikene; Margus Annuk; Andrus Mägi; Tõnis Timmusk; Amir M Ghaemmaghami; Kaia Palm
Journal:  Commun Med (Lond)       Date:  2022-05-11

2.  ALDH2 polymorphism rs671 is a predictor of PD-1/PD-L1 inhibitor efficacy against thoracic malignancies.

Authors:  Akiko Matsumoto; Chiho Nakashima; Shinya Kimura; Eizaburo Sueoka; Naoko Aragane
Journal:  BMC Cancer       Date:  2021-05-22       Impact factor: 4.430

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Authors:  Ling Wang; Yue Dai; Fuliang Zhu; Zhimin Qiu; Yaqi Wang; Yinghui Hu
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

4.  Myeloid-derived suppressor cells infiltration in non-small-cell lung cancer tumor and MAGE-A4 and NY-ESO-1 expression.

Authors:  Zhenbo Hou; Xiao Liang; Xinmei Wang; Ziqiang Zhou; Guilan Shi
Journal:  Oncol Lett       Date:  2020-03-31       Impact factor: 2.967

5.  Tumor LAG-3 and NY-ESO-1 expression predict durable clinical benefits of immune checkpoint inhibitors in advanced non-small cell lung cancer.

Authors:  Eun Hee Jung; Hee Ryeong Jang; Se Hyun Kim; Koung Jin Suh; Yu Jung Kim; Ju-Hyun Lee; Jin-Haeng Chung; Miso Kim; Bhumsuk Keam; Tae Min Kim; Dong-Wan Kim; Dae Seog Heo; Jong Seok Lee
Journal:  Thorac Cancer       Date:  2021-01-17       Impact factor: 3.500

6.  Peripheral Blood Autoantibodies Against to Tumor-Associated Antigen Predict Clinical Outcome to Immune Checkpoint Inhibitor-Based Treatment in Advanced Non-Small Cell Lung Cancer.

Authors:  Juan Zhou; Jing Zhao; Qingzhu Jia; Qian Chu; Fei Zhou; Xiangling Chu; Wencheng Zhao; Shengxiang Ren; Caicun Zhou; Chunxia Su
Journal:  Front Oncol       Date:  2021-03-16       Impact factor: 6.244

7.  Prognostic Role of Tumor Mutational Burden in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.

Authors:  Taobi Huang; Xia Chen; Huiyun Zhang; Yuan Liang; Longquan Li; Hui Wei; Weiming Sun; Yuping Wang
Journal:  Front Oncol       Date:  2021-07-29       Impact factor: 6.244

8.  Phase Ib study on the humanized anti-CCR4 antibody, KW-0761, in advanced solid tumors.

Authors:  Takuro Saito; Koji Kurose; Takashi Kojima; Takeru Funakoshi; Eiichi Sato; Hiroyoshi Nishikawa; Jun Nakajima; Yasuyuki Seto; Kazuhiro Kakimi; Shinsuke Iida; Yuichiro Doki; Mikio Oka; Ryuzo Ueda; Hisashi Wada
Journal:  Nagoya J Med Sci       Date:  2021-11       Impact factor: 1.131

9.  Growth differentiation factor 1-induced tumour plasticity provides a therapeutic window for immunotherapy in hepatocellular carcinoma.

Authors:  Wei Cheng; Hao-Long Li; Shao-Yan Xi; Xiao-Feng Zhang; Yun Zhu; Yan-Xuan Mo; Mei-Mei Li; Fan-En Kong; Wen-Jie Zhu; Xiao-Gang Chen; Hui-Qing Cui; Zhi-Ming Cao; Yuan-Feng Gong; Yun-Qiang Tang; Yan Zhang; Xin-Yuan Guan; Ning-Fang Ma; Ming Liu
Journal:  Nat Commun       Date:  2021-12-08       Impact factor: 14.919

10.  Predictive value of tumor mutational burden for immunotherapy in non-small cell lung cancer: A systematic review and meta-analysis.

Authors:  Guangxian Meng; Xiaowei Liu; Tian Ma; Desheng Lv; Ge Sun
Journal:  PLoS One       Date:  2022-02-03       Impact factor: 3.240

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