Single cell sequencing revealed the mechanism of PD-1 resistance affected by the expression profile of peripheral blood immune cells in ESCC

Background Esophageal squamous carcinoma (ESCC) is a highly lethal malignancy with poor prognosis. The effect of transcriptome characteristics of patient immune microenvironment (TME) on the efficacy of immunosuppressive agents is still poorly understood. Methods Here we extracted and isolated immune cells from peripheral blood of patients with PD-1 monoclonal antibody sensitivity and resistance, and conducted deep single-cell RNA sequencing to describe the baseline landscape of the composition, lineage, and functional status of infiltrating immune cells in peripheral blood of patients with esophageal cancer. Results The transcriptome characteristics of immune cells were comprehensively analyzed, and the dynamic changes of cell percentage, heterogeneity of cell subtypes and interactions between cells were explained. Co-expression and pedigree tracking based on T-cell antigen receptors revealed a significant proportion of highly migratory intertissue-effector T cells. GO and KEGG enrichment pathway Analysis of CD8+ effect-T cells ESCC_S group and ESCC_D1,2 group, found that in the up-regulated enrichment pathway, ESCC_S group enriched more PD-L1 and PD-1 checkpoint pathways expressed in tumors (JUN/NFKBIA/FOS/KRAS/IFNG), which also exist in T cell receptor signaling pathways. MT2A, MT1X and MT1E were differentially expressed in ESCC patients with PD-1 monoclonal antibody resistance, which may be related to the resistance of PD-1 mMAB. Conclusions This study has an in-depth understanding of the influence of peripheral immune cell infiltration on the sensitivity of monoclonal antibody PD-1 in patients with esophageal cancer, which is helpful to promote the immunotherapy of patients with esophageal cancer.

[1]  Y. Kakeji,et al.  Metallothionein 2A Expression in Cancer-Associated Fibroblasts and Cancer Cells Promotes Esophageal Squamous Cell Carcinoma Progression , 2021, Cancers.

[2]  Sung-Bae Kim,et al.  Pembrolizumab plus chemotherapy versus chemotherapy alone for first-line treatment of advanced oesophageal cancer (KEYNOTE-590): a randomised, placebo-controlled, phase 3 study , 2021, The Lancet.

[3]  Yongjin P. Park Faculty Opinions recommendation of SCENIC: single-cell regulatory network inference and clustering. , 2021, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

[4]  Xianjun Yu,et al.  Applications of single-cell sequencing in cancer research: progress and perspectives , 2021, Journal of Hematology & Oncology.

[5]  R. DePinho,et al.  Single-cell RNA sequencing in pancreatic cancer , 2021, Nature Reviews Gastroenterology & Hepatology.

[6]  M. Spitzer,et al.  Systemic immunity in cancer , 2021, Nature Reviews Cancer.

[7]  K. Livak,et al.  Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy , 2020, Nature Reviews Clinical Oncology.

[8]  Jian Cao,et al.  Immune suppressive landscape in the human esophageal squamous cell carcinoma microenvironment , 2020, Nature Communications.

[9]  Amy Y. Chen,et al.  Targeting the myeloid checkpoint receptor SIRPα potentiates innate and adaptive immune responses to promote anti-tumor activity , 2020, Journal of Hematology & Oncology.

[10]  Jing-mei Liu,et al.  Comprehensive analysis of partial epithelial mesenchymal transition‐related genes in hepatocellular carcinoma , 2020, Journal of cellular and molecular medicine.

[11]  Sung-Bae Kim,et al.  Randomized Phase III KEYNOTE-181 Study of Pembrolizumab Versus Chemotherapy in Advanced Esophageal Cancer. , 2020, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[12]  Zhong Chen,et al.  Identification of MT1E as a novel tumor suppressor in hepatocellular carcinoma. , 2020, Pathology, research and practice.

[13]  A. Maitra,et al.  Interleukin-17–induced neutrophil extracellular traps mediate resistance to checkpoint blockade in pancreatic cancer , 2020, The Journal of experimental medicine.

[14]  Erin L. Schenk,et al.  Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing , 2020, Cell.

[15]  U. Khan,et al.  Role of Immune Checkpoint Inhibitors in Gastrointestinal Malignancies , 2020, Journal of clinical medicine.

[16]  K. Sun,et al.  Resistance Mechanisms of Anti-PD1/PDL1 Therapy in Solid Tumors , 2020, Frontiers in Cell and Developmental Biology.

[17]  Weidong Li,et al.  MT2A Promotes Oxaliplatin Resistance in Colorectal Cancer Cells , 2020, Cell Biochemistry and Biophysics.

[18]  Erratum: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. , 2020, CA: a cancer journal for clinicians.

[19]  J. Ferlay,et al.  Global burden of oesophageal and gastric cancer by histology and subsite in 2018 , 2020, Gut.

[20]  D. Lambrechts,et al.  A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling , 2020, Cell Research.

[21]  Shuofeng Hu,et al.  Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing , 2020, Gut.

[22]  K. Tarte,et al.  Single-cell analysis reveals fibroblast clusters linked to immunotherapy resistance in cancer. , 2020, Cancer discovery.

[23]  Hongyu Zhao,et al.  Elevated serum interleukin-8 is associated with enhanced intratumor neutrophils and reduced clinical benefit of immune-checkpoint inhibitors , 2020, Nature Medicine.

[24]  E. Smyth,et al.  A global perspective on oesophageal cancer: two diseases in one. , 2020, The lancet. Gastroenterology & hepatology.

[25]  X. Jia,et al.  CCL2-CCR2 axis recruits tumor associated macrophages to induce immune evasion through PD-1 signaling in esophageal carcinogenesis , 2020, Molecular Cancer.

[26]  Hanlee P. Ji,et al.  Single-Cell Genomic Characterization Reveals the Cellular Reprogramming of the Gastric Tumor Microenvironment , 2020, Clinical Cancer Research.

[27]  Jun Liu,et al.  Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma , 2020, Aging.

[28]  Piyushkumar A. Mundra,et al.  Immune-awakening revealed by peripheral T cell dynamics after one cycle of immunotherapy , 2019, Nature Cancer.

[29]  G. Bregni,et al.  PD-1 and PD-L1 inhibitors in oesophago-gastric cancers. , 2020, Cancer letters.

[30]  Andrew D. Smith,et al.  Falco: high-speed FastQC emulation for quality control of sequencing data. , 2019, F1000Research.

[31]  Sung-Bae Kim,et al.  Nivolumab versus chemotherapy in patients with advanced oesophageal squamous cell carcinoma refractory or intolerant to previous chemotherapy (ATTRACTION-3): a multicentre, randomised, open-label, phase 3 trial. , 2019, The Lancet. Oncology.

[32]  K. Almstedt,et al.  The active role of the transcription factor Sp1 in NFATc2-mediated gene regulation in pancreatic cancer , 2019, BMC Biochemistry.

[33]  P. Wen,et al.  Neoadjuvant anti-PD-1 immunotherapy promotes a survival benefit with intratumoral and systemic immune responses in recurrent glioblastoma , 2018, Nature Medicine.

[34]  Fan Zhang,et al.  Fast, sensitive, and accurate integration of single cell data with Harmony , 2018, bioRxiv.

[35]  Burak Dura,et al.  scFTD-seq: freeze-thaw lysis based, portable approach toward highly distributed single-cell 3′ mRNA profiling , 2018, Nucleic acids research.

[36]  A. Jemal,et al.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries , 2018, CA: a cancer journal for clinicians.

[37]  Haiyang Xie,et al.  Metallothionein 1 family profiling identifies MT1X as a tumor suppressor involved in the progression and metastastatic capacity of hepatocellular carcinoma , 2018, Molecular carcinogenesis.

[38]  J. Lang,et al.  The roles of metallothioneins in carcinogenesis , 2018, Journal of Hematology & Oncology.

[39]  Boxi Kang,et al.  Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing , 2018, Nature Medicine.

[40]  Johan Hartman,et al.  Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing , 2018, Cell.

[41]  Paul Hoffman,et al.  Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.

[42]  S. Pushalkar,et al.  The Pancreatic Cancer Microbiome Promotes Oncogenesis by Induction of Innate and Adaptive Immune Suppression. , 2018, Cancer discovery.

[43]  Jia Gu,et al.  fastp: an ultra-fast all-in-one FASTQ preprocessor , 2018, bioRxiv.

[44]  Reinhard Dummer,et al.  High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy , 2018, Nature Network Boston.

[45]  J. Lunceford,et al.  Safety and Antitumor Activity of the Anti-Programmed Death-1 Antibody Pembrolizumab in Patients With Advanced Esophageal Carcinoma. , 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[46]  Alexander E. Kel,et al.  cutPrimers: A New Tool for Accurate Cutting of Primers from Reads of Targeted Next Generation Sequencing , 2017, J. Comput. Biol..

[47]  T. McGaha,et al.  Type I Interferon in Chronic Virus Infection and Cancer. , 2017, Trends in immunology.

[48]  J. Aerts,et al.  SCENIC: Single-cell regulatory network inference and clustering , 2017, Nature Methods.

[49]  Sydney M. Shaffer,et al.  Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance , 2017, Nature.

[50]  S. Chi,et al.  Identification of XAF1–MT2A mutual antagonism as a molecular switch in cell-fate decisions under stressful conditions , 2017, Proceedings of the National Academy of Sciences.

[51]  L. J. K. Wee,et al.  Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors , 2017, Nature Genetics.

[52]  Andrew J. Hill,et al.  Single-cell mRNA quantification and differential analysis with Census , 2017, Nature Methods.

[53]  K. Haustermans,et al.  Oesophageal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2016, Annals of oncology : official journal of the European Society for Medical Oncology.

[54]  A. Regev,et al.  Spatial reconstruction of single-cell gene expression , 2015, Nature Biotechnology.

[55]  P. Rosenstiel,et al.  c-Rel is a critical mediator of NF-κB-dependent TRAIL resistance of pancreatic cancer cells , 2014, Cell Death and Disease.

[56]  Wei Shi,et al.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features , 2013, Bioinform..

[57]  Thomas R. Gingeras,et al.  STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..

[58]  Guangchuang Yu,et al.  clusterProfiler: an R package for comparing biological themes among gene clusters. , 2012, Omics : a journal of integrative biology.

[59]  Anjana Rao,et al.  NFAT, immunity and cancer: a transcription factor comes of age , 2010, Nature Reviews Immunology.

[60]  Loise M. Francisco,et al.  The PD‐1 pathway in tolerance and autoimmunity , 2010, Immunological reviews.

[61]  K. Williams,et al.  Evaluation of a 12‐color flow cytometry panel to study lymphocyte, monocyte, and dendritic cell subsets in humans , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[62]  S. Garrett,et al.  Basal and metal‐induced expression of metallothionein isoform 1 and 2 genes in the RWPE‐1 human prostate epithelial cell line , 2008, Journal of applied toxicology : JAT.

[63]  G. Freeman,et al.  PD-1 and its ligands in tolerance and immunity. , 2008, Annual review of immunology.

[64]  G. Freeman,et al.  The B7–CD28 superfamily , 2002, Nature Reviews Immunology.

[65]  M. Ebadi,et al.  Free radical scavenging actions of metallothionein isoforms I and II. , 1998, Free radical research.