Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494850PMC
http://dx.doi.org/10.1038/s41408-020-00358-3DOI Listing

Publication Analysis

Top Keywords

validation survival-risk
4
survival-risk score
4
score srs
4
srs relapsed/refractory
4
relapsed/refractory cll
4
cll patients
4
patients treated
4
treated idelalisib-rituximab
4
validation
1
score
1

Similar Publications

Objective This study aimed to show the clinicopathological characteristics of large retroperitoneal liposarcoma (RLS) and to develop a customized nomogram model for patients with large RLS. Methods A total of 1735 patients diagnosed with RLS were selected from the public SEER database. Among them, 1113 patients with a maximum tumor diameter greater than 150 mm were included for further analysis.

View Article and Find Full Text PDF

Background: Ferroptosis, a regulated form of cell death, has emerged as a critical modulator of melanoma's tumor progression and immune evasion. However, its integration with the tumor immune microenvironment (TME) and clinical prognostication remains underexplored. This study aims to construct a multi-omics framework combining ferroptosis-related signatures, immune infiltration patterns, and machine-learning approaches to stratify melanoma patients and guide therapeutic decision-making.

View Article and Find Full Text PDF

Predicting the prognosis of bladder cancer remains challenging despite standard treatments. We developed an interpretable bladder cancer deep learning (BCDL) model using preoperative CT scans to predict overall survival. The model was trained on a cohort (n = 765) and validated in three independent cohorts (n = 438; n = 181; n = 72).

View Article and Find Full Text PDF

A nomogram integrating mutation signatures and clinical features for prognostic stratification in bladder cancer.

Discov Oncol

August 2025

Department of Pulmonary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Reseach Center for Cancer, Tianjin, 300060, China.

Purpose: Bladder cancer (BLCA) is a typical malignancy in the urinary tract, with a dismal survival rate and limited therapeutic options. There is a growing demand for clinically relevant biomarkers to effectively stratify prognosis. This study aims to develop a prognostic model utilizing mutation signatures and clinical characteristics to inform the clinical management of BLCA.

View Article and Find Full Text PDF

Integrative analysis of CRISPR screening and gene expression data identifies a three-gene prognostic model associated with immune microenvironment in neuroblastoma.

Transl Cancer Res

July 2025

Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.

Background: Neuroblastoma is a heterogeneous pediatric tumor with variable clinical outcomes. Current prognostic markers are insufficient to predict patient survival accurately, necessitating the identification of novel biomarkers and therapeutic targets. This study aimed to develop a robust prognostic model by integrating CRISPR screening data and transcriptomic profiles, and to explore its correlation with the tumor immune microenvironment.

View Article and Find Full Text PDF