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E-Poster Display

1945P - Distribution of anti-PD1/PDL1 autoantibodies in multiple cancer types and potential biomarker role for anti-PD1 therapy

Date

17 Sep 2020

Session

E-Poster Display

Topics

Translational Research

Tumour Site

Presenters

Qiaoyun Tan

Citation

Annals of Oncology (2020) 31 (suppl_4): S1034-S1051. 10.1016/annonc/annonc294

Authors

Q. Tan1, Y. Wang2, S. Liu3, R. Luo3, S. Wang3, T. Liang4, J. Yang2, P. Xing2, J. Yao2, D. Wu2, Z. Zhang2, J. Dai4, X. Yu4, X. Han5, Y. Shi2

Author affiliations

  • 1 Department Of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, 100730 - Beijing/CN
  • 2 Department Of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing/CN
  • 3 Department Of Clinical Laboratory, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing/CN
  • 4 State Key Laboratory Of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing/CN
  • 5 Clinical Pharmacology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College,Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Beijing/CN

Resources

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Abstract 1945P

Background

Antibodies targeting programmed cell death protein 1(PD1) and its ligand (PDL1) have revolutionized cancer therapy. However, little is known about the preexisted anti-PD1/PDL1 antoantibodies (AAbs) IgG and subclass distribution in cancer patients, nor is their potential role for anti-PD1 therapy.

Methods

We used enzyme linked immune sorbent assay (ELISA) to examine serological anti-PD1/PDL1 IgG AAb and subclasses (IgG1-4) in 189 cancer patients without anti-PD1 therapy, covering 10 types of cancers (lung, breast, esophageal, colorectal, liver, prostatic, cervical, ovarian, gastric cancers and lymphoma). We further tested the anti-PD1/PDL1 AAb IgG, IgG1 and IgG2 in 16 non-small cell lung cancer (NSCLC) baseline plasma samples receiving anti-PD1 therapy, the association of AAb IgG subclasses with clinical parameters and overall survival were analyzed.

Results

Anti-PD1 AAb IgG and anti-PDL1 AAb IgG were globally detected in 10 types of cancer patients. Anti-PD1 AAb IgG was highest in breast cancer and lowest in colorectal cancer, while anti-PDL1 AAb IgG was highest in liver cancer and lowest in cervical carcinoma. Of the IgG subclasses, IgG1 and IgG2 were revealed to be the major subtypes for both anti-PD1 and anti-PDL1 AAbs in 10 cancer types. In 16 NSCLC patients receiving anti-PD1 therapy, the anti-PD1 IgG2 and anti-PDL1 IgG2 were significantly associated with white blood cell count(r=0.554, p=0.026; r=0.586, p=0.017), absolute neutrophil count(r=0.577, p=0.019; r=0.626, p=0.009) and absolute monocyte count (r=0.683, p=0.004; r=0.729, p=0.001). Higher anti-PD1 IgG2 was revealed to associate with improved anti-PD1 therapeutic survival, though no statistical significance were reached which may due to limited samples.

Conclusions

This study reports for the first time the distribution of preexisted anti-PD1/PDL1 AAb and their subclasses in a wide range of cancer types. Moreover, the PD1 IgG2 were identified to associate with clinical parameters and may serve as potential biomarkers to predict anti-PD1 therapeutic survival in NSCLC and guide anti-PD1 treatment for cancer patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College.

Funding

China National Major Project for New Drug Innovation (2017ZX09304015, 2019ZX09201-002) and Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (CIFMS)(2016-I2M-1-001).

Disclosure

All authors have declared no conflicts of interest.

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