Cancer new treatment series: Comparison immune changes of HCC by scRNA-Seq following HELC treatment one case study
Vol 8, Issue 2, 2024
VIEWS - 36 (Abstract) 8 (PDF)
Abstract
Immunotherapy has emerged as a novel treatment strategy for many types of cancers, among them, liver cancer. The major advances and achievements in recent years is the use of programmed death-1 (PD-1) blockers for cancer treatment. Since patients’ immune systems are already weak following concurrent surgery plus chemo or radiotherapy, it is necessary to restore and awake their immune cells to maximize the effect for immune therapy. Methods: Liver cancers were treated twice with hapten enhanced local chemotherapy (HELC) like tumor lysates vaccine and following PD-1. Single-cell RNA sequencing (scRNA-seq) was used to analyze the changes of immune responses prior and after treatments. Results: We observed upregulation of cytotoxicity-related genes of CD8 effector T cells and NK cells in untreated tumor; Both Bmem and Naive B cells in untreated tumor showed a significant increase in MHC II signaling pathway-related genes, while MHC I-related genes was upregulated in plasma cells. Significant tumor size shrinkage was observed in both treated and untreated tumors following the HELC+PD-1 therapy. Conclusions: This study provides new biological insights into the abscopal effect at the single-cell level related to the composition of T and B cells in untreated liver cancers before and after major primary tumors treated by HELC. Our data showed that intra-tumor HELC can kill tumor cells and induced immune activity, which is likely vital in modifying tumor associate antigens (TAAs) into neo TAAs. It induces immune response just like vaccine can wake up immune cells and therefore increasing the efficacy of PD1 therapy.
Keywords
Full Text:
PDFReferences
1. Xia C, Dong X, Li H, et al. Cancer statistics in China and United States, 2022: profiles, trends, and determinants. Chinese Medical Journal. 2022; 135(5): 584-590. doi: 10.1097/cm9.0000000000002108
2. Dong L, Peng L, Ma L, et al. Heterogeneous immunogenomic features and distinct escape mechanisms in multifocal hepatocellular carcinoma. Journal of Hepatology. 2020; 72(5): 896-908. doi: 10.1016/j.jhep.2019.12.014
3. Liu CY, Chen KF, Chen PJ. Treatment of Liver Cancer. Cold Spring Harbor Perspectives in Medicine. 2015; 5(9): a021535. doi: 10.1101/cshperspect.a021535
4. Xu F, Jin T, Zhu Y, et al. Immune checkpoint therapy in liver cancer. Journal of Experimental & Clinical Cancer Research. 2018; 37(1). doi: 10.1186/s13046-018-0777-4
5. Yu B, Lu Y, Gao F, et al. Hapten-enhanced therapeutic effect in advanced stages of lung cancer by ultra-minimum incision personalized intratumoral chemoimmunotherapy therapy. Lung Cancer: Targets and Therapy. 2015; 1. doi: 10.2147/lctt.s70679
6. Yu B, Gao F, Jing P, et al. Hapten-enhanced overall survival time in advanced hepatocellular carcinoma by ultro-minimum incision personalized intratumoral chemoimmunotherapy. Journal of Hepatocellular Carcinoma. 2015; 57. doi: 10.2147/jhc.s80756
7. Gross BP, Wongrakpanich A, Francis MB, et al. A Therapeutic Microparticle-Based Tumor Lysate Vaccine Reduces Spontaneous Metastases in Murine Breast Cancer. The AAPS Journal. 2014; 16(6): 1194-1203. doi: 10.1208/s12248-014-9662-z
8. Diao L, Liu M. Rethinking Antigen Source: Cancer Vaccines Based on Whole Tumor Cell/tissue Lysate or Whole Tumor Cell. Advanced Science. 2023; 10(22). doi: 10.1002/advs.202300121
9. Max S, Peter G, Christoph S, et al. Tumor cell lysate-pulsed human dendritic cells induce a T-cell response against pancreatic carcinoma cells: an in vitro model for the assessment of tumor vaccines. Cancer Res. 2001; 61(17): 6445-50.
10. Ziegenhain C, Vieth B, Parekh S, et al. Comparative Analysis of Single-Cell RNA Sequencing Methods. Molecular Cell. 2017; 65(4): 631-643. doi: 10.1016/j.molcel.2017.01.023
11. Ma L, Hernandez MO, Zhao Y, et al. Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer. Cancer Cell. 2019; 36(4): 418-430. doi: 10.1016/j.ccell.2019.08.007
12. Kaminski JM, Shinohara E, Summers JB, et al. The controversial abscopal effect. Cancer Treatment Reviews. 2005; 31(3): 159-172. doi: 10.1016/j.ctrv.2005.03.004
13. Abuodeh Y, Venkat P, Kim S. Systematic review of case reports on the abscopal effect. Current Problems in Cancer. 2016; 40(1): 25-37. doi: 10.1016/j.currproblcancer.2015.10.001
14. Yu B, Fu Q, Han Y, et al. An Acute Inflammation with Special Expression of CD11 & CD4 Produces Abscopal Effect by Intramoral Injection Chemotherapy Drug with Hapten in Animal Model. Journal of Immunological Sciences. 2022; 6(3): 1-9. doi: 10.29245/2578-3009/2022/3.1236
15. Huisse MG, Leclercq M, Belghiti J, et al. Mechanism of the abnormal vitamin K-dependent gamma-carboxylation process in human hepatocellular carcinomas. Cancer. 1994; 74(5): 1533-1541. doi: 10.1002/1097-0142(19940901)74:5<1533:aid-cncr2820740507>3.0.co;2-v
16. Ge F, Zhang H, Wang DD, et al. Enhanced detection and comprehensivein situphenotypic characterization of circulating and disseminated heteroploid epithelial and glioma tumor cells. Oncotarget. 2015; 6(29): 27049-27064. doi: 10.18632/oncotarget.4819
17. Lin PP, Gires O, Wang DD, et al. Comprehensive in situ co-detection of aneuploid circulating endothelial and tumor cells. Scientific Reports. 2017; 7(1). doi: 10.1038/s41598-017-10763-7
18. Wolf FA, Angerer P, Theis FJ. SCANPY: large-scale single-cell gene expression data analysis. Genome Biology. 2018; 19(1). doi: 10.1186/s13059-017-1382-0
19. Korsunsky I, Millard N, Fan J, et al. Fast, sensitive and accurate integration of single-cell data with Harmony. Nature Methods. 2019; 16(12): 1289-1296. doi: 10.1038/s41592-019-0619-0
20. Dong R, Yang R, Zhan Y, et al. Single-Cell Characterization of Malignant Phenotypes and Developmental Trajectories of Adrenal Neuroblastoma. Cancer Cell. 2020; 38(5): 716-733. doi: 10.1016/j.ccell.2020.08.014
21. Andreatta M, Carmona SJ. UCell: Robust and scalable single-cell gene signature scoring. Computational and Structural Biotechnology Journal. 2021; 19: 3796-3798. doi: 10.1016/j.csbj.2021.06.043
22. Qian W, Zhao M, Wang R, et al. Fibrinogen-like protein 1 (FGL1): the next immune checkpoint target. Journal of Hematology & Oncology. 2021; 14(1). doi: 10.1186/s13045-021-01161-8
23. Liu Q, Lu F, Chen Z. Identification of MT1E as a novel tumor suppressor in hepatocellular carcinoma. Pathology—Research and Practice. 2020; 216(11): 153213. doi: 10.1016/j.prp.2020.153213
24. Lu Z, Liu R, Wang Y, et al. Ten‐eleven translocation‐2 inactivation restrains IL‐10‐producing regulatory B cells to enable antitumor immunity in hepatocellular carcinoma. Hepatology. 2022. doi: 10.1002/hep.32442
25. Inagaki Y, Tang W, Makuuchi M, et al. Clinical and molecular insights into the hepatocellular carcinoma tumour marker des-γ-carboxyprothrombin. Liver Int. 2011; 31(1): 22-35. doi: 10.1111/j.1478-3231.2010.02348.x
26. Liu XY, Jiang W, Ma D, et al. SYTL4 downregulates microtubule stability and confers paclitaxel resistance in triple-negative breast cancer. Theranostics. 2020; 10(24): 10940-10956. doi: 10.7150/thno.45207
27. Sun X, Niu X, Chen R, et al. Metallothionein‐1G facilitates sorafenib resistance through inhibition of ferroptosis. Hepatology. 2016; 64(2): 488-500. doi: 10.1002/hep.28574
28. Zhang L, Yu X, Zheng L, et al. Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature. 2018; 564(7735): 268-272. doi: 10.1038/s41586-018-0694-x
29. Terrén I, Orrantia A, Vitallé J, et al. NK Cell Metabolism and Tumor Microenvironment. Frontiers in Immunology. 2019; 10. doi: 10.3389/fimmu.2019.02278
30. Zheng C, Zheng L, Yoo JK, et al. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing. Cell. 2017; 169(7): 1342-1356. doi: 10.1016/j.cell.2017.05.035
31. Zhang S, Liu Z, Wu D, et al. Single-Cell RNA-Seq Analysis Reveals Microenvironmental Infiltration of Plasma Cells and Hepatocytic Prognostic Markers in HCC With Cirrhosis. Frontiers in Oncology. 2020; 10. doi: 10.3389/fonc.2020.596318
32. Groom JR, Luster AD. CXCR3 in T cell function. Experimental Cell Research. 2011; 317(5): 620-631. doi: 10.1016/j.yexcr.2010.12.017
33. Cheng Z, He Z, Cai Y, et al. Conversion of hepatoma cells to hepatocyte-like cells by defined hepatocyte nuclear factors. Cell Research. 2018; 29(2): 124-135. doi: 10.1038/s41422-018-0111-x
34. Xing T. Molecular and immunophenotyping of liver cancer and the research progress of immune combined targeted therapy. Chinese Journal of Hepatobiliary Surgery. 2021; 27(7): 4.
DOI: https://doi.org/10.24294/ti.v8.i2.8937
Refbacks
- There are currently no refbacks.
Copyright (c) 2024 Baofa Yu, Feng Gao, Peng Jing, Peicheng Zhang, Jian Zhang, Guoqin Zheng
License URL: https://creativecommons.org/licenses/by/4.0/
This site is licensed under a Creative Commons Attribution 4.0 International License.