Biomarkers of Pathologic Complete Response to Neoadjuvant Immunotherapy in Mismatch Repair–Deficient Colorectal Cancer

Author:

Li Jianxia1234ORCID,Hu Huabin1234ORCID,Qin Ge1234ORCID,Bai Fan1234ORCID,Wu Xianrui1345ORCID,Ke Haoxian1345ORCID,Zhang Jianwei1234ORCID,Xie Yuqian1234ORCID,Wu Zehua1234ORCID,Fu Yang1234ORCID,Zheng Hongbo6ORCID,Gong Longlong6ORCID,Xie Zhi7ORCID,Deng Yanhong1234ORCID

Affiliation:

1. 1Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

2. 2Department of Medical Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

3. 3Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

4. 4Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

5. 5Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

6. 6Genecast Biotechnology Co., Ltd, Wuxi, China.

7. 7State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Abstract

Abstract Purpose: Immune checkpoint inhibitors (ICI) have become the standard of care for patients with mismatch repair-deficient/microsatellite instability-high (dMMR/MSI-H) colorectal cancer. However, biomarkers of response to ICI are still lacking. Experimental Design: Forty-two patients with dMMR colorectal cancer treated with neoadjuvant PD-1 blockade were prospectively enrolled. To identify biomarkers of pathologic complete response (pCR) to neoadjuvant therapy, we analyzed genomic and transcriptomic profiles based on next-generation sequencing, and immune cell density based on multiplex immunofluorescence (mIF) staining. An integrated analysis of single-cell RNA sequencing from our previous study and GSE178341, as well as mIF was performed to further explore the significance of the tumor microenvironment (TME) on pCR response. Results: The tumor mutation burden of both tumor tissue and plasma blood samples was comparable between the pCR and non-pCR groups, while HLA-DQA1 and HLA-DQB1 were significantly overexpressed in the pCR group. Gene signature enrichment analysis showed that pathways including T-cell receptor pathway, antigen presentation pathway were significantly enriched in the pCR group. In addition, higher pre-existing CD8+ T-cell density was associated with pCR response (767.47 per.mm2 vs. 326.64 per.mm2, P = 0.013 Wilcoxon test). Further integrated analysis showed that CD8+ T cells with low PD-1 expression (PD-1lo CD8+ T cells) expressing high levels of TRGC2, CD160, and KLRB1 and low levels of proliferated and exhausted genes were significantly associated with pCR response. Conclusions: Immune-associated transcriptomic features, particularly CD8+ T cells were associated with pCR response to ICI in dMMR colorectal cancer. Heterogeneity of TME within dMMR colorectal cancer may help to discriminate patients with complete response to neoadjuvant ICI.

Funder

National Natural Science Foundation of China

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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