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Mini oral session on Developmental and precision medicine

303MO - Single-cell analysis reveals the interaction between M2 macrophages and NK cells underlying immune types associated with cancer immunotherapy response

Date

20 Nov 2020

Session

Mini oral session on Developmental and precision medicine

Topics

Clinical Research;  Targeted Therapy;  Immunotherapy

Tumour Site

Presenters

Anlin Li

Citation

Annals of Oncology (2020) 31 (suppl_6): S1358-S1365. 10.1016/annonc/annonc362

Authors

A. Li1, W. Zhang1, Y. Yu2, Y. Chen3, Q. Ou2, X. Tang4, H. Yao2

Author affiliations

  • 1 The First Clinical Medical College, Guangdong Medical University, 524023 - Zhanjiang/CN
  • 2 Guangdong Provincial Key Laboratory Of Malignant Tumor Epigenetics And Gene Regulation, Department Of Medical Oncology, Phase I Clinical Trial Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 510120 - Guangzhou/CN
  • 3 Department Of Medical Oncology, The Third Affiliated Hospital of Sun Yat-sen University, 510120 - Guangzhou/CN
  • 4 Institute Of Biochemistry And Molecular Biology, Guangdong Medical University, 524023 - Zhanjiang/CN

Resources

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Abstract 303MO

Background

This study aimed to characterize tumor microenvironment (TME) profile to predict clinical outcomes of cancer immunotherapy and to identify potential cellular mechanisms driving immunotherapy response and resistance.

Methods

This study analyzed single-cell or RNA sequencing data of 396 immunotherapy-treated patients from the phase II IMvigor210 trial and Gene Expression Omnibus, and also included 4,547 patients from The Cancer Genome Atlas. Using unsupervised hierarchical clustering, we combined immune checkpoints, human leukocyte antigens, and immune cells to construct a novel TME classification.

Results

The clustering in IMvigor210 trial resulted in three immune subtypes, with the greatest overall survival (OS) benefit in Immune-Active Class (HR 0.69; 95% CI 0.56 to 0.84; P < 0.001), which was validated in TCGA cohort across multiple cancers (HR 0.86; 95% CI 0.80 to 0.92; P < 0.0001). The three immune subtypes exhibited distinct metabolic patterns, especially in the hypoxia signaling pathway; patients in Immune-Active Class had lowest hypoxia score (P<0.0001). Further single-cell profiling revealed that in patients who did not respond to immunotherapy, M2 macrophages increased after treatment but there was no significant difference in natural killer (NK) cells between pre- and post- immunotherapy treatment. Conversely, among responders, M2 macrophages showed little change but NK cells significantly increased after immunotherapy. Among non-responders, M2 macrophages had higher expression of hypoxia signature after treatment, but this change in responders was not evident. In agreement, IMvigor210 data showed longer OS in patients with low versus high M2 macrophages (HR 0.58; 95% CI 0.42 to 0.80; P < 0.001), and in patients with high versus low NK cells (HR 0.74; 95% CI 0.56 to 0.97; P = 0.03).

Conclusions

This study developed novel TME-based subtypes to facilitate cancer immunotherapy delivery. Additionally, M2 macrophages might induce immunotherapy resistance by causing NK cell exclusion or dysfunction via hypoxia-related pathways.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Herui Yao.

Funding

This work was supported by the National Science and Technology Major Project (grant number 2020ZX09201021); the National Natural Science Foundation of China (grant numbers 81572596, 81972471, U1601223); the Natural Science Foundation of Guangdong Province (grant number 2017A030313828); the Guangzhou Science and Technology Major Program (grant number 201704020131); the Sun Yat-Sen University Clinical Research 5010 Program (grant number 2018007); the Sun Yat-Sen Clinical Research Cultivating Program (grant number SYS-C-201801); the Guangdong Science and Technology Department (grant number 2017B030314026); and the Special Funds for the Cultivation of Guangdong College Students’ Scientific and Technological Innovation (grant number pdjh2019a0212); National Students’ Innovation and Entrepreneurship training program (grant number 201910571001); and Guangdong Medical University College Students’ Innovation Experiment Project (grant number ZZZF001).

Disclosure

All authors have declared no conflicts of interest.

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