ReviewCancer management and research2014
Prognostic stratification of colorectal cancer patients: current perspectives.
Review in Cancer management and research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.
- Histopathological prognostic factors for colorectal liver metastases: A systematic review and meta-analysis of observational studies.Histology and histopathology · 2021Pooled it
- Trial
- Artificial intelligence models for survival prediction in colorectal cancer: a systematic review of time-to-event approaches.Annals of medicine and surgery (2012) · 2026Article
- Adverse Histopathological Features in Colorectal Cancer Associated with KRAS rs61764370 SNP: A Preliminary Study.Biomedicines · 2026Article
- Prognosis of intensive care unit patients with colorectal cancer.World journal of gastrointestinal oncology · 2025Article
- Natural product-based nanotechnological formulations for colorectal cancer treatment.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Clinicopathological and radiological characteristics and prediction of survival in colon cancer.World journal of gastrointestinal oncology · 2025Article
- Article
- Advancing Prognostic Accuracy Beyond Classical N Staging in Colorectal Cancer: An Observational Cohort Study to Define a Lymph Node Ratio Based Risk Score.Cancer management and research · 2025Article
- Evaluation of colon cancer prognostic factors by CT and MRI: an up-to-date review.Abdominal radiology (New York) · 2024Review
- Article
- CACNA2D1 regulates the progression and influences the microenvironment of colon cancer.Journal of gastroenterology · 2024Article
- Clinical outcome and prognostic factors of T4N0M0 colon cancer after R0 resection: A retrospective study.World journal of gastrointestinal oncology · 2024Article
- Investigating the Cell Origin and Liver Metastasis Factors of Colorectal Cancer by Single-Cell Transcriptome Analysis.OncoTargets and therapy · 2024Article
- Colorectal Carcinomas: Searching for New Histological Parameters Associated with Lymph Node Metastases.Medicina (Kaunas, Lithuania) · 2023Article
- Early-Onset/Young-Onset Colorectal Carcinoma: A Comparative Analysis of Morphological Features and Biomarker Profile.Cureus · 2023Article
- Article
- Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.JAMA network open · 2023Article
- Mitochondrial DNA haplogroup M7: A predictor of poor prognosis for colorectal cancer patients in Chinese population.Cancer science · 2023Article
- Identification of intestinal microbiome associated with lymph-vascular invasion in colorectal cancer patients and predictive label construction.Frontiers in cellular and infection microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor staging according to the American Joint Committee on Cancer/Union for International Cancer Control tumor, node, metastasis (TNM) system is currently regarded as the standard for staging of patients with colorectal cancer. This system provides the strongest prognostic information for patients with early stage disease and those with advanced disease. For patients with intermediate levels of disease, it is less able to predict disease outcome. Therefore, additional prognostic markers are needed to improve the management of affected patients. Ideal markers are readily assessable on hematoxylin and eosin-stained tumor slides, and in this way are easily applicable worldwide. This review summarizes the histological features of colorectal cancer that can be used for prognostic stratification. Specifically, we refer to the different histological variants of colorectal cancer that have been identified, each of these variants carrying distinct prognostic significance. Established markers of adverse outcomes are lymphatic and venous invasion, as well as perineural invasion, but underreporting still occurs in the routine setting. Tumor budding and tumor necrosis are recent advances that may help to identify patients at high risk for recurrence. The prognostic significance of the antitumor inflammatory response has been known for quite a long time, but a lack of standardization prevented its application in routine pathology. However, scales to assess intra- and peritumoral inflammation have recently emerged, and can be expected to strengthen the prognostic significance of the pathology report.
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.