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An Immunosuppressive Status Classifier to Predict Recurrence and Assist in Decision Regarding Postoperative Adjuvant Treatment in Gastric Cancer

41 Pages Posted: 1 Jul 2021

See all articles by Jia-Bin Wang

Jia-Bin Wang

Fujian Medical University - Department of Gastric Surgery

Qing-Zhu Qiu

Fujian Medical University - Fujian Medical University Union Hospital

Ning-Zi Lian

Fujian Medical University - Fujian Medical University Union Hospital

Hua-Gen Wang

Fujian Medical University - Fujian Medical University Union Hospital; Fujian Medical University - Department of Gastric Surgery

Qiao-Ling Zheng

Fujian Medical University - Fujian Medical University Union Hospital

Ying-Hong Yang

Fujian Medical University - Fujian Medical University Union Hospital

Yu-Bin Ma

Qinghai University - Qinghai University Medical College

Ya-Jun Zhao

University of Science and Technology of China (USTC)

Ping Li

Fujian Medical University - Department of Gastric Surgery

Jian-Xian Lin

Fujian Medical University - Department of Gastric Surgery

Jun Lu

Fujian Medical University - Department of Gastric Surgery

QiYue Chen

Fujian Medical University - Department of Gastric Surgery

Long-Long Cao

Fujian Medical University - Department of Gastric Surgery

Mi Lin

Fujian Medical University - Department of Gastric Surgery

Chang-Ming Huang

Fujian Medical University - Department of Gastric Surgery; Fujian Medical University - Key Laboratory of Ministry of Education of Gastrointestinal Cancer; Fujian Medical University - Fujian Key Laboratory of Tumor Microbiology

Jian-Wei Xie

Fujian Medical University - Department of Gastric Surgery

More...

Abstract

Background: Suppression of the immune microenvironment is a crucial cause of postoperative tumor recurrence. We constructed an immune infiltration classifier based on immunosuppressive indicators to predict recurrence and guide postoperative treatment for gastric cancer (GC).

Methods: Immunohistochemical analysis was performed for 825 GC tissues to evaluate immunosuppressive indicators. An immunosuppressive recurrence score (IRS) based on six immunosuppressive indicators was determined using the Lasso Cox method to predict recurrence outcomes. The association between immune infiltration and IRS was assessed using immunohistochemistry and multiplexed immunofluorescence staining. A nomogram predicting recurrence-free survival (RFS) was constructed by integrating IRS and significant clinicopathological features using the Cox regression model.

Results: The IRS and IRS-based nomogram showed remarkable accuracy and reliability for predicting the recurrence outcome. Moreover, elevated IRS was associated with locoregional recurrence and failure of postoperative adjuvant chemotherapy. We also identified that the increased IRS indicated the inhibition of anti-tumor effect of CD8+ tumor-infiltrating lymphocytes (TILs) in the invasive margin (IM).Conclusion: IRS can predict the recurrence outcome of GC patients by comprehensively distinguishing the immune infiltration status, which assists in the selection of different adjuvant treatment options.

Funding: the National Natural Science Foundation of China, the Science and Technology Innovation Joint Fund Project of Fujian Province.

Declaration of Interest: The authors have declared no conflicts of interest.

Ethical Approval: The study was approved by the Ethics Committees of Fujian Medical University Union Hospital, Affiliated Hospital of Qinghai University, and First Affiliated Hospital of
the University of Science and Technology of China. The ethics approval number of scientific research project is 2021KY018 from Fujian Medical University Union Hospital.

Keywords: Recurrence, Immunosuppressive indicators, Immune contexture, Adjuvant therapy, Gastric cancer

Suggested Citation

Wang, Jia-Bin and Qiu, Qing-Zhu and Lian, Ning-Zi and Wang, Hua-Gen and Wang, Hua-Gen and Zheng, Qiao-Ling and Yang, Ying-Hong and Ma, Yu-Bin and Zhao, Ya-Jun and Li, Ping and Lin, Jian-Xian and Lu, Jun and Chen, QiYue and Cao, Long-Long and Lin, Mi and Huang, Chang-Ming and Xie, Jian-Wei, An Immunosuppressive Status Classifier to Predict Recurrence and Assist in Decision Regarding Postoperative Adjuvant Treatment in Gastric Cancer. Available at SSRN: https://ssrn.com/abstract=3878081 or http://dx.doi.org/10.2139/ssrn.3878081

Jia-Bin Wang

Fujian Medical University - Department of Gastric Surgery ( email )

Qing-Zhu Qiu

Fujian Medical University - Fujian Medical University Union Hospital ( email )

Fuzhou, 350001
China

Ning-Zi Lian

Fujian Medical University - Fujian Medical University Union Hospital ( email )

Fuzhou, 350001
China

Hua-Gen Wang

Fujian Medical University - Fujian Medical University Union Hospital ( email )

Fuzhou, 350001
China

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

Qiao-Ling Zheng

Fujian Medical University - Fujian Medical University Union Hospital ( email )

Fuzhou, 350001
China

Ying-Hong Yang

Fujian Medical University - Fujian Medical University Union Hospital ( email )

Fuzhou, 350001
China

Yu-Bin Ma

Qinghai University - Qinghai University Medical College ( email )

Xining, 810000
China

Ya-Jun Zhao

University of Science and Technology of China (USTC) ( email )

96, Jinzhai Road
Hefei, Anhui 230026
China

Ping Li

Fujian Medical University - Department of Gastric Surgery ( email )

No.29 Xinquan Road
Fuzhou, Fujian 350001
China
+86-591-83363366 (Phone)
+86-591-83320319 (Fax)

Jian-Xian Lin

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

Jun Lu

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

QiYue Chen

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

Long-Long Cao

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

Mi Lin

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China

Chang-Ming Huang

Fujian Medical University - Department of Gastric Surgery ( email )

Fuzhou
China
+86-591-83363366 (Phone)
+86-591-83320319 (Fax)

Fujian Medical University - Key Laboratory of Ministry of Education of Gastrointestinal Cancer ( email )

China

Fujian Medical University - Fujian Key Laboratory of Tumor Microbiology ( email )

Fuzhou
China

Jian-Wei Xie (Contact Author)

Fujian Medical University - Department of Gastric Surgery ( email )

No.29 Xinquan Road
Fuzhou, Fujian Province 350001
China