USF-LVHN SELECT

A high range of intrinsic disorder values for tumor resident, T-cell receptor beta V-complementarity determining region 3-J amino acid sequence assemblies correlates with better melanoma outcomes.

Publication/Presentation Date

8-29-2025

Abstract

Metastatic melanoma is characterized by high rates of treatment resistance. While various factors have been studied for their prognostic significance, this study evaluated the potential prognostic value of the intrinsic disorder of T-cell receptor beta (TRB) polypeptides. TRB recombination sequencing reads were extracted from tumor RNA-seq files representing The Cancer Genome Atlas, Skin Cutaneous Melanoma dataset, and genomics files representing the National Institutes of Health, phs002683 dataset. Intrinsic disorder values were computed for the TRB V-complementarity determining region 3 (CDR3)-J amino acid sequences for all cases. Survival analyses assessed overall survival and disease-specific survival for case sets based on assigning cases to upper or lower 50th percentile groups, based in turn on intrinsic disorder values. For the phs002683 dataset, intrinsic disorder values were compared between cases representing resistance to immune checkpoint inhibitors (ICIs) and cases representing no observed resistance. The results indicated that the upper 50th percentile of the range of intrinsic disorder values was linked to better outcomes. This was obtained for two TRB datasets representing different RNA-seq file, recombination read extraction algorithms, and was observed for two different intrinsic disorder models. Furthermore, low minimum various long-3 and various short-long 2 values correlated with ICI treatment resistance. The findings of this study suggest that the diversity of intrinsic disorder values representing TRB V-CDR3-J assemblies may represent a novel prognostic biomarker for metastatic melanoma cases and a potential biomarker for indicating different personalized treatments.

ISSN

1473-5636

Disciplines

Medical Education | Medicine and Health Sciences

PubMedID

40880302

Department(s)

USF-LVHN SELECT Program, USF-LVHN SELECT Program Students

Document Type

Article

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