Abstract

Intra-tumor heterogeneity (ITH) was a potential mechanism of progression and drug resistance in bladder cancer (BCa). However, the understanding of ITH in BCa remains insufficient. Single-cell RNA sequencing (scRNA-seq) profiles of 2075 cells were analyzed, and 2940 cell markers were screened. The ITH of 396 cases was evaluated, and 96 ITH-related genes were identified. Based on the gene-pair strategy, 96 genes were cyclically paired, and an 8-gene-pair model was successfully established to evaluate the overall survival of BCa through Lasso and multivariate Cox regressions. The risk model showed high predictive value in the training dataset (n = 396, p = 0) and external validation datasets (n = 165, p = 2.497e-02; n = 224, p = 3.423e-02). The model was also valuable for the prediction of clinical treatment outcomes. Totally, a prognostic model based on scRNA-seq and ITH was successfully constructed and validated in large cohorts, providing novel clues for ITH study of BCa.

Highlights

  • Bladder cancer (BCa), as the twelfth most common malignancies around the world, brings a tremendous social burden [1]

  • The intra-tumor heterogeneity (ITH) of each individual was quantified as mutant-allele tumor heterogeneity (MATH) value, and high MATH represented increased ITH of malignant tumors [13]

  • It was found that the BCa cases with high MATH suffered a poorer survival rate (p = 4.146e-02, Figure 1B) and lower sensitivity to chemotherapeutic agents (Figure 1C)

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Summary

Introduction

Bladder cancer (BCa), as the twelfth most common malignancies around the world, brings a tremendous social burden [1]. The 5-year survival rate of muscleinvasive bladder cancer (MIBC), one of the main subtypes of BCa, is dismal: 5%–30% [2]. Some novel therapeutic methods, such as cisplatin-based neoadjuvant chemotherapy and immune checkpoint inhibitors (ICIs), have been proposed, making considerable strides in BCa treatment [3]. Many BCa patients could not benefit from the current therapeutic regimens [4, 5]. Reliable prediction of prognosis was urgently demanded, which played an important role in guiding clinical treatment. ITH is capable of predicting the prognosis of patients with malignancies [8]. The underlying mechanisms of ITH include telomere damage, DNA mismatch repair deficiency, microsatellite instability (MSI), and epigenetic changes [9], but the understanding of ITH is far from enough for the moment

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