ReviewJournal of surgical oncology2012
Molecular staging individualizing cancer management.
Review in Journal of surgical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis 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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- New molecular staging with G-factors (VEGF-C and Reg IV) by supplementing TNM classification in colorectal cancers.Oncology reports · 2013Pooled it
- Circulating Inflammatory Mediators as Potential Prognostic Markers of Human Colorectal Cancer.PloS one · 2016Trial
- ctDNA in the Management of Resectable & Advanced Colorectal Cancer: Current Status and Future Directions.OncoTargets and therapy · 2026Review
- Oligo-Metastatic Cancers: Putative Biomarkers, Emerging Challenges and New Perspectives.Cancers · 2023Review
- Single Nucleotide Polymorphisms in GenesRadiology and oncology · 2017Article
- Prognostic significance of vascular endothelial growth factor polymorphisms in colorectal cancer patients.World journal of gastrointestinal oncology · 2017Article
- The more the messier: centrosome amplification as a novel biomarker for personalized treatment of colorectal cancers.Journal of biomedical research · 2016Review
- Single Nucleotide Polymorphisms as Prognostic and Predictive Factors of Adjuvant Chemotherapy in Colorectal Cancer of Stages I and II.Gastroenterology research and practice · 2016Review
- SMAD4 and TS expression might predict the risk of recurrence after resection of colorectal liver metastases.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2015Article
- New molecular staging with G-factor supplements TNM classification in gastric cancer: a multicenter collaborative research by the Japan Society for Gastroenterological Carcinogenesis G-Project committee.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2015Article
- Immune cells: plastic players along colorectal cancer progression.Journal of cellular and molecular medicine · 2013Review
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 at 2 institutions in 1 country.
Funding
Abstract
Although the most important prognostic and predictive marker in colorectal cancer is tumor cells in lymph nodes, approximately 30% of patients who are node-negative die from occult metastases. Molecular staging employing specific markers and sensitive detection technologies has emerged as a powerful platform to assess prognosis in node-negative colon cancer. Integrating molecular staging into algorithms that individualize patient management will require validation and the definition of relationships between occult tumor cells, prognosis, and responses to chemotherapy.
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.