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泛癌症分析揭示 CD19 作为肿瘤免疫标志物的预后和免疫治疗意义
Authors Wei L, Meng J, Xiang D, Yang Q , Zhou Y, Xu L, Chen J, Han Y
Received 6 March 2024
Accepted for publication 17 May 2024
Published 4 June 2024 Volume 2024:17 Pages 2593—2612
DOI https://doi.org/10.2147/IJGM.S459914
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Scott Fraser
Lanyi Wei, Jingjing Meng, Danfeng Xiang, Quanjun Yang, Yangyun Zhou, Lingyan Xu, Junjun Chen,* Yonglong Han*
Department of Pharmacy, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Junjun Chen; Yonglong Han, Department of Pharmacy, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, People’s Republic of China, Email chenjunjun8812@sina.com; yonglongh@126.com
Background: The specific cytotoxic effects of anti-CD19 chimeric antigen receptor (CAR) T-cell therapy have led to impressive outcomes in individuals previously treated for B-cell malignancies. However, the specific biological role of CD19(+) target cells, which exert antitumor immunity against some solid tumors, remains to be elucidated.
Methods: We collected information regarding the level of CD19 mRNA and protein expression from various databases including The Cancer Genome Atlas (TCGA), Tumor Immune Estimation Resource (TIMER), Genotype-Tissue Expression (GTEx), and Human Protein Atlas (HPA) for both tumor and normal samples. To evaluate the patient’s prognosis according to CD19 expression, a Kaplan-Meier (KM) analysis and univariate Cox regression were performed. Furthermore, using the Estimation of Stromal and Immune Cells in Malignant Tumor Tissues Using the Expression Data (ESTIMATE) algorithm, we estimated the ratio of immune cells infiltrating malignant tumor tissues. Afterward, the GSCALite repository was employed to evaluate the vulnerability of tumors expressing CD19 to drugs used in chemotherapy. To validate the results in clinical samples of certain cancer types, immunohistochemistry was then performed.
Results: Most tumor types exhibited CD19 expression differently, apart from colon adenocarcinoma (COAD). The early diagnostic value of CD19 has been demonstrated in 9 different tumor types, and the overexpression of CD19 has the potential to extend the survival duration of patients. Multiple tumors showed a positive correlation between CD19 expression and tumor mutation burden (TMB), microsatellite instability (MSI), and ESTIMATE score. Furthermore, a direct association was discovered between the expression of CD19 and the infiltration of immune cells, particularly in cases of breast invasive carcinoma (BRCA). Moreover, CD19 is highly sensitive to a variety of chemotherapy drugs.
Conclusion: The study reveals the potential of CD19 as both a predictive biomarker and a target for different cancer immunotherapies.
Keywords: CD19, pan-cancer, prognosis, immune infiltration, biomarker