Molecular Subtypes, microRNAs and Immunotherapy Response in Metastatic Colorectal Cancer

Molecular Understanding and Pharmacological Potency of Plant-Derived Compounds in Colorectal Cancer (CRC): A Critical Analysis and Future Perspectives

Colorectal cancer (CRC) is the main driver of fatality and the 3rd most often determined malignancy. Despite advances in detection and therapy, colorectal cancer (CRC) endures as the largest driver of cancer-related morbidity, and mortality. Modern habits and dietary negligence might be one of the reasons that have enhanced cancer prevalence. Thus, changes in Dietary habits will have a better impact, and help in finding a better cure for CRC. Initially, CRC was explored as a genetic event and currently, the research is focused on the epigenetic modifications of chromatin and microRNA (miRNA) in CRC cells. Natural products such as Curcumin, Resveratrol, Flavonoids, and Ellagitannins are been explored as compounds from the perspective of genetic, epigenetic, and miRNA modifications which will have future therapeutic aspects. Also, the extracts of these key players and their analogs will intervene the signaling pathway activation that involves in cancer propagation, apoptosis, cell cycle arrest, and epigenetic and miRNA modifications. Modulations of these miRNAs, and modification globally might have impact on CRC progression, and cancer tumor cell sensitivity.

Genome wide-scale CRISPR-Cas9 knockout screens identify a fitness score for optimized risk stratification in colorectal cancer

BACKGROUND

The molecular complexity of colorectal cancer poses a significant challenge to the clinical implementation of accurate risk stratification. There is still an urgent need to find better biomarkers to enhance established risk stratification and guide risk-adapted treatment decisions.

METHODS

we systematically analyzed cancer dependencies of 17 colorectal cancer cells and 513 other cancer cells based on genome-scale CRISPR-Cas9 knockout screens to identify colorectal cancer-specific fitness genes. A regression model was built using colorectal cancer-specific fitness genes, which was validated in other three independent cohorts. 30 published gene expression signatures were also retrieved.

FINDINGS

We defined a total of 1828 genes that were colorectal cancer-specific fitness genes and identified a 22 colorectal cancer-specific fitness gene (CFG22) score. A high CFG22 score represented unfavorable recurrence and mortality rates, which was validated in three independent cohorts. Combined with age, and TNM stage, the CFG22 model can provide guidance for the prognosis of colorectal cancer patients. Analysis of genomic abnormalities and infiltrating immune cells in the CFG22 risk stratification revealed molecular pathological difference between the subgroups. Besides, drug analysis found that CFG22 high patients were more sensitive to clofibrate.

INTERPRETATION

The CFG22 model provided a powerful auxiliary prediction tool for identifying colorectal cancer patients with high recurrence risk and poor prognosis, optimizing precise treatment and improving clinical efficacy.