Dataset Information

The impact of eligibility for maintenance immunotherapy on prognosis in patients with unresectable or metastatic urothelial carcinoma.

ABSTRACT:

Objectives

To investigate the eligibility for maintenance immunotherapy and its impact on the prognosis of advanced urothelial carcinoma treated with first-line chemotherapy, as the selection biases of the eligible population in the JAVELIN Bladder 100 trial remain unclear.

Methods

We retrospectively evaluated 213 patients (median age, 71 years) with unresectable locally advanced or metastatic urothelial carcinoma treated with platinum-based first-line chemotherapy between May 2003 and April 2021. The patients were categorized into the following two groups: progressive disease (PD) within four cycles (trial ineligible group) and non-PD within four cycles (trial eligible group). The primary outcomes were the estimated proportion of trial eligible patients for maintenance immunotherapy. The secondary outcomes were the comparison of the overall survival in the trial eligible and ineligible groups and the impact of radiologic response at the second cycle on the fourth cycle.

Results

Among the 213 patients, 81 (38%) were included in the trial eligible group. The trial eligible group had a significantly longer overall survival than the trial ineligible group (P < 0.001). Of 166 patients who had no PD within two cycles, 85 (51%) patients experienced PD within four cycles. Patients with a complete response or partial response at the second cycle had a significantly lower rate of PD at the fourth cycle (42%) than those with stable disease at the second cycle (59%, P = 0.031).

Conclusion

We observed 38% of the trial eligible population. Overall survival was significantly different between the trial eligible and ineligible groups.

SUBMITTER: Ozaki K

PROVIDER: S-EPMC8988805 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Objective: This study used homologous recombination (HR) related signatures to develop a clinical prediction model for screening immune checkpoint inhibitors (ICIs) advantaged populations and identify hub genes in advanced metastatic urothelial carcinoma. Methods: The single-sample gene enrichment analysis and weighted gene co-expression network analysis were applied to identify modules associated with immune response and HR in IMvigor210 cohort samples. The principal component analysis was utilized to determine the differences in HR-related module gene signature scores across different tissue subtypes and clinical variables. Risk prediction models and nomograms were developed using differential gene expression analysis associated with HR scores, least absolute shrinkage and selection operator, and multivariate proportional hazards model regression. Additionally, hub genes were identified by analyzing the contribution of HR-related genes to principal components and overall survival analysis. Finally, clinical features from GSE133624, GSE13507, the TCGA, and other data sets were analyzed to validate the relationship between hub genes and tumor growth and mutation. Results: The HR score was significantly higher in the complete/partial response group than in the stable/progressive disease group. The majority of genes associated with HR were discovered to be involved in the cell cycle and others. Genomically unstable, high tumor level, and high immune level samples all exhibited significantly higher HR score than other sample categories, and higher HR scores were related to improved survival following ICIs treatment. The risk scores for AUNIP, SEPT, FAM72D, CAMKV, CXCL9, and FOXN4 were identified, and the training and verification groups had markedly different survival times. The risk score, tumor neoantigen burden, mismatch repair, and cell cycle regulation were discovered to be independent predictors of survival time following immunotherapy. Patients with a high level of expression of hub genes such as EME1, RAD51AP1, and RAD54L had a greater chance of surviving following immunotherapy. These genes are expressed at significantly higher levels in tumors, high-grade cancer, and invasive cancer than other categories, and are associated with TP53 and RB1 mutations. Conclusion: HR-related genes are upregulated in genomically unstable samples, the survival time of mUC patients after treatment with ICIs can be predicted using a normogram model based on HR signature.