Tumor mutational burden (TMB) is a genomic biomarker that can predict favorable responses to immune checkpoint inhibitors (ICIs). Although we have better understanding of TMB in cancer immunity and cancer immunotherapy, the relationship between TMB and the clinical efficacy of ICIs remains unknown in the treatment of melanoma patients. Here, we conduct a systematic review and meta-analysis to evaluate the predictive value of TMB on the efficacy of ICIs in patients with melanoma. We systematically collected data from PubMed, Embase, Cochrane Library, CNKI, China Biomedical Database (CBM), and Wanfang Database. The end date was set to 26 June 2021. We included retrospective studies or clinical trials of ICIs that reported hazard ratios (HRs) for overall survival and/or progression-free survival according to TMB. Data for 1,493 patients from 15 studies were included. In addition, pooled effect size, heterogeneity analysis, sensitivity analysis, publication bias detection, and subgroup analysis were performed based on the included data. Patients with high TMB showed significantly improved OS (HR = 0.49, 95% CI: 0.33, 0.73; = 0.001) and PFS (HR = 0.47, 95% CI: 0.33, 0.68; < 0.001) compared with patients with low TMB. This association was very good in patients treated with monotherapy, that is, anti-CTLA-4 or anti-PD-(L)-1 inhibitors, but not for the patients treated with a combination of the two drugs. The subgroup analysis results showed that heterogeneity was substantial in the targeted next-generation sequencing (NGS) group. Publication bias was detected, and the results were visualized using the funnel chart. And sensitivity analysis and trim-and-fill method analysis showed that our results were stable and reliable. High TMB is associated with improved OS and PFS in melanoma patients treated with mono-drug ICIs. TMB determined by NGS should be standardized to eliminate heterogeneity. Therefore, the role of TMB in identifying melanoma patients who may benefit from ICI should be further determined in more randomized controlled trials in the future.
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http://dx.doi.org/10.3389/fphar.2022.748674 | DOI Listing |
Unlabelled: Considering the similarity in clinical presentations of iris neoplasms of various origins, questions of their noninvasive diagnosis remain relevant. Optical coherence tomography angiography (OCT-A) is one of the imaging method that enables visualization of tumor vessels.
Purpose: This article examines the features of angioarchitecture, vascular network density, and perfusion density of iris melanoma and progressive iris nevus using OCT-A.
Diagn Pathol
December 2024
Department of Pathology, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
Background: Isolated immunohistochemical indicators are limited to diagnose melanocytic neoplasms. This retrospective study is to assess the diagnostic value of combined immunohistochemical analysis targeting preferentially expressed antigen in melanoma (PRAME) and p16 in melanocytic neoplasms, with a detailed focus on arcal lesions.
Methods: This was a single center cohort study from January 2022 to June 2023.
Ann Surg Oncol
December 2024
Melanoma Institute Australia, Wollstonecraft, NSW, Australia.
Sci Rep
December 2024
Univ. Grenoble Alpes, CEA, Inserm, IRIG, UA13 BGE, Biomics, Grenoble, 38000, France.
Xeroderma pigmentosum group C (XPC) is a versatile protein crucial for sensing DNA damage in the global genome nucleotide excision repair (GG-NER) pathway. This pathway is vital for mammalian cells, acting as their essential approach for repairing DNA lesions stemming from interactions with environmental factors, such as exposure to ultraviolet (UV) radiation from the sun. Loss-of-function mutations in the XPC gene confer a photosensitive phenotype in XP-C patients, resulting in the accumulation of unrepaired UV-induced DNA damage.
View Article and Find Full Text PDFCancer Epidemiol
December 2024
Steno Diabetes Center Aarhus, Aarhus, Denmark; Department of Pathology, Aarhus University Hospital, Aarhus, Denmark. Electronic address:
Background: Cancer has become the leading cause of death among individuals with type 2 diabetes (T2D) in high-income countries. T2D is suggested to directly influence cancer progression. However, the association between T2D and melanoma stage at diagnosis remains uncertain, as well as any potential sex disparities.
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