This work investigates how the acidic tumor microenvironment drives colorectal cancer progression through protein lactylation. The authors show that lactylation decreases SLC26A3 …
This study develops a radiogenomic framework to translate colorectal cancer molecular subtype information into clinically feasible prognostic biomarkers. Across 2948 patients from …
Early-onset colorectal cancer (EOCRC) is clinically aggressive and lacks precise treatment stratification tools. This work integrates multi-omics data from 2961 patients and …
This study applies an integrative proteogenomic pipeline combining whole-genome sequencing, RNA-seq, and immunopeptidomics in colorectal cancer to systematically discover …
Colorectal cancer (CRC) is among the leading causes of cancer-related deaths worldwide, predominantly caused by recurrence, underscoring the need for novel biomarkers for the early …
Small noncoding RNAs (sncRNAs) constitute a diverse class of endogenous transcripts, including miRNAs, piRNAs, tRNA-derived fragments (tDRs), rRNA-derived fragments (rRFs), and …
BACKGROUND: Right-sided (RCC) and left-sided colorectal cancers (LCC) exhibit distinct clinical behaviors and molecular characteristics, but immune microenvironmental differences …
In the evolving landscape of cancer immunotherapy, tertiary lymphoid structures (TLS) have rapidly transitioned from a histological curiosity to a central mediator of anti-tumour …
Accurate risk stratification is crucial for determining the optimal treatment plan for patients with colorectal cancer (CRC). However, existing deep learning models perform poorly …
**Background**: Colorectal cancer (CRC) is the third-most common malignancy and the second-leading cause of cancer-related death worldwide. Despite considerable progress in …