ReviewCurrent issues in molecular biology2025
Diagnostic Pathways and Molecular Biomarkers in Colorectal Cancer: Current Evidence and Perspectives in Poland.
Review in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Carbohydrate antigen 72-4 and tumor-associated glycoprotein 72 - tumor marker: Past, present and future.World journal of gastrointestinal pathophysiology · 2026Review
- Integrative Multi-Omics Analysis Reveals Host Regulatory and Immune Networks with Inferred Dysbiosis Relevance in Colorectal Cancer.Journal of clinical medicine · 2026Article
- The Genetic Landscape of Colorectal Cancer: From Molecular Alterations to Therapeutic Decision Pathways.Cancers · 2026Review
- ctDNA in the Management of Resectable & Advanced Colorectal Cancer: Current Status and Future Directions.OncoTargets and therapy · 2026Review
- Differential analysis of urinary stable downregulated proteins in male patients after colorectal cancer surgery.Frontiers in oncology · 2026Article
- The Age of Molecular Biomarkers: Cancer in the Era of Personalized Medicine. What Do Pathologists in Developing Countries Need to Know and Understand?International journal of general medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide and remains a major challenge in contemporary oncology, where early detection is critical for improving treatment outcomes and survival. Despite significant progress in diagnostics and therapy, the epidemiology, risk factors, and molecular mechanisms driving CRC development continue to be intensively investigated. This paper provides an overview of current trends in CRC diagnosis and management, with particular emphasis on advances in molecular medicine and biological sciences. Screening recommendations in Poland are discussed, comparing invasive methods-such as colonoscopy, sigmoidoscopy, and CT colonography-with non-invasive stool-based tests (FOBT, FIT, sDNA-FIT), and evaluating their sensitivity, specificity, and impact on mortality reduction. Key tumor markers with diagnostic, prognostic, and predictive value, including CEA, CA19-9, mSEPT9, ctDNA, TPS, TAG-72, CTCs, and circulating microRNAs, as well as p53 and PTEN proteins, are reviewed in the context of their clinical utility in early detection, disease monitoring, and treatment response assessment. The analysis also highlights the epidemiological situation in Poland and underscores the growing importance of integrating molecular biomarkers with traditional diagnostic methods, which may ultimately support the development of more precise and individualized clinical management strategies in the future.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.