ArticleJournal of gastrointestinal oncology2024
Genomic profiles and their associations with microsatellite instability status, tumor mutational burden, and programmed death ligand 1 expression in Chinese patients with colorectal cancer.
Article in Journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Pan-cancer analysis identifies APOC1 as a TAM-derived modulator of adaptive immune resistance and predictor of therapeutic response.Discover oncology · 2026Article
- Development of a prognostic risk model for colorectal cancer and association of the prognostic model with cancer stem cell and immune cell infiltration.Journal of gastrointestinal oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Colorectal cancer (CRC) is among the most prevalent malignancies globally, with a rising incidence observed in younger demographics. Despite surgical resection remaining the cornerstone of treatment, metastatic CRC poses significant therapeutic challenges. Immunotherapy, a mode of treatment that leverages the patient's immune system, presents a promising frontier in CRC management, particularly for late-stage cases with limited treatment options. The study was aimed to elucidate the relationships between genetic profiles and predictive biomarkers in CRC patients to inform immunotherapy decisions and improve outcomes. Methods: We conducted a large-scale study involving 660 patients with CRC, analyzing genetic profiles and predictive biomarkers for immune checkpoint inhibitors (ICIs) using next-generation sequencing (NGS) and immunohistochemistry (IHC). The study focused on assessing the association between gene mutations and markers such as microsatellite instability (MSI) status, tumor mutational burden (TMB), and programmed death ligand 1 (PD-L1) expression. Results: Analysis revealed a diverse mutational landscape in CRC, with Conclusions: Our findings underscore the importance of genetic profiling in guiding treatment decisions for patients with CRC, particularly in the era of immunotherapy. Understanding the complex interplay between genetic alterations and immune markers is critical for optimizing therapeutic strategies and improving clinical outcomes. Further research is warranted to validate these findings and explore personalized treatment approaches in CRC.
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Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.