ReviewWorld journal of gastrointestinal oncology2020
Early stage colon cancer: Current treatment standards, evolving paradigms, and future directions.
Review in World journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 4 of them syntheses that pooled it.
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
84 citing papers in PubMed, 4 syntheses or guidelines pooled it, 134 citations in OpenAlex.
- The potential value of quercetin for colorectal cancer: a systematic review and a meta-analysis of preclinical studies.Frontiers in pharmacology · 2025Pooled it
- Inflammation and Colorectal Cancer: A Meta-Analysis of the Prognostic Significance of the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI).International journal of molecular sciences · 2024Pooled it
- Evaluating the oncological safety of neoadjuvant chemotherapy in locally advanced colon carcinoma: a systematic review and meta-analysis of randomised clinical trials and propensity-matched studies.International journal of colorectal disease · 2023Pooled it
- Circulating Tumor DNA as a Minimal Residual Disease Assessment and Recurrence Risk in Patients Undergoing Curative-Intent Resection with or without Adjuvant Chemotherapy in Colorectal Cancer: A Systematic Review and Meta-Analysis.International journal of molecular sciences · 2023Pooled it
- Trial
- Beyond the Monolayer: Leveraging 3D Culture Systems to Decode Mechanisms of Drug Resistance and Therapeutic Vulnerabilities in Colorectal Cancer.Cancer medicine · 2026Review
- Widening Colon Cancer Disparities Post-Pandemic in Disaggregated Asian American and Pacific Islander Populations (2004-2021).Journal of immigrant and minority health · 2026Article
- Multimodal radiomics for precision management of colorectal cancer.Discover oncology · 2026Review
- Review
- Review
- SIAH2-WNK1 Signaling Drives Glycolytic Metabolism and Therapeutic Resistance in Colorectal Cancer.International journal of molecular sciences · 2026Article
- Article
- Common oncogenic mutations in colorectal cancer: drivers of carcinogenesis and potential therapeutic targets.Frontiers in pharmacology · 2026Review
- Unveiling the potential of apigenin and kaempferol against colon cancer: an integrated network pharmacology and docking approach.Frontiers in bioinformatics · 2026Article
- Unlocking the Therapeutic Potential of Cyclic Peptide-Based Nanocarriers for Enhanced Colon Cancer Treatment.The protein journal · 2025Review
- A Retrospective Study in Colorectal Adenocarcinoma Uncovers the Potential of Circ-CCT3 as a Predictor of Tumor Recurrence.Biomedicines · 2025Article
- A comprehensive dataset for understanding immune dynamics in colorectal cancer.Data in brief · 2025Article
- Colorectal Cancer in Mississippi: How to Change the Tide of Bad News to a Success Story?Cureus · 2025Review
- Evaluating robotic and laparoscopic approaches for left and right colon carcinoma: a retrospective propensity score-matched analysis.Journal of robotic surgery · 2025Article
- Risk factors and outcomes of Clostridioides difficile infection in patients with colorectal cancer: critical perspective in management.Gut pathogens · 2025Review
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colon cancer continues to be one of the leading causes of mortality and morbidity throughout the world despite the availability of reliable screening tools and effective therapies. The majority of patients with colon cancer are diagnosed at an early stage (stages I to III), which provides an opportunity for cure. The current treatment paradigm of early stage colon cancer consists of surgery followed by adjuvant chemotherapy in a select group of patients, which is directed at the eradication of minimal residual disease to achieve a cure. Surgery alone is curative for the vast majority of colon cancer patients. Currently, surgery and adjuvant chemotherapy can achieve long term survival in about two-thirds of colon cancer patients with nodal involvement. Adjuvant chemotherapy is recommended for all patients with stage III colon cancer, while the benefit in stage II patients is not unequivocally established despite several large clinical trials. Contemporary research in early stage colon cancer is focused on minimally invasive surgical techniques, strategies to limit treatment-related toxicities, precise patient selection for adjuvant therapy, utilization of molecular and clinicopathologic information to personalize therapy and exploration of new therapies exploiting the evolving knowledge of tumor biology. In this review, we will discuss the current standard treatment, evolving treatment paradigms, and the emerging biomarkers, that will likely help improve patient selection and personalization of therapy leading to superior outcomes.
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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.