Combining the guidelines and multiphoton imaging methods to improve the prognostic value of tumor‐infiltrating lymphocytes in breast cancer

Author:

He Jiajia1,Kang Deyong2,Xu Meifang2,Han Zhonghua3,Guo Wenhui3,Fu Fangmeng3,Qiu Lida14,Zheng Liqin1,Xi Gangqin1,Wang Wei1,Ren Wenjiao1,Han Xiahui1,Tu Haohua5,Li Lianhuang1ORCID,Wang Chuan3,Chen Jianxin1ORCID

Affiliation:

1. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology Fujian Normal University Fuzhou 350007 China

2. Department of Pathology Fujian Medical University Union Hospital Fuzhou 350001 China

3. Department of Breast Surgery Fujian Medical University Union Hospital Fuzhou 350001 China

4. College of Physics and Electronic Information Engineering Minjiang University Fuzhou 350108 China

5. Beckman Institute for Advanced Science and Technology University of Illinois at Urbana‐Champaign Urbana Illinois USA

Abstract

AbstractMultiphoton microscopy (MPM) was introduced to label‐freely obtain tumor‐infiltrating lymphocytes (TILs) images from a total of 611 patients, and the prognostic value of TILs in breast cancer was assessed by the MPM method (TILs‐MPM) and guidelines method proposed by the International Immuno‐Oncology Biomarker Working Group (TILs‐WG), respectively. Moreover, the clinical (CLI) model, TILs‐WG + TILs‐MPM model, and full model (CLI + TILs‐WG + TILs‐MPM) were developed to investigate the prognostic value of TILs. The results show that TILs‐WG performs better in estrogen receptor (ER)‐negative subgroup, and TILs‐MPM is comparable with TILs‐WG in the ER‐negative subgroup, but has the best performance in the ER‐positive subgroup. Furthermore, the TILs‐WG + TILs‐MPM model can significantly improve the prognostic power compared with the TILs‐WG model, and the full model has excellent performance, with high area under the curve (AUC) and hazard ratio (HR) in both ER‐positive, ER‐negative subgroups, and the complete cohort. Our results suggest that the combination of TILs‐WG with TILs‐MPM model can greatly improve the prognostic value of TILs.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Fujian Provincial Health Technology Project

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

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