ReviewVirchows Archiv : an international journal of pathology2014
Prognostic biomarkers in colorectal cancer: where do we stand?
Review in Virchows Archiv : an international journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distant Metastasis in Colorectal Cancer Patients-Do We Have New Predicting Clinicopathological and Molecular Biomarkers? A Comprehensive Review.International journal of molecular sciences · 2020Pooled it
- Association of gene and protein expression and genetic polymorphism of CC chemokine ligand 4 in colorectal cancer.World journal of gastroenterology · 2021Article
- Expression of TMEM16A in Colorectal Cancer and Its Correlation With Clinical and Pathological Parameters.Frontiers in oncology · 2021Article
- Enhanced expression of GABRD predicts poor prognosis in patients with colon adenocarcinoma.Translational oncology · 2020Article
- MicroRNA Expression Levels and Histopathological Features of Colorectal Cancer.Journal of gastrointestinal cancer · 2019Article
- High c-Myb Expression Associates with Good Prognosis in Colorectal Carcinoma.Journal of Cancer · 2019Article
- Expression status of four mismatch repair proteins in patients with colorectal cancer: clinical significance in 1238 cases.International journal of clinical and experimental pathology · 2019Article
- Telomeres and telomerase in the clinical management of colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2017Review
- Overexpression of c-Myb is associated with suppression of distant metastases in colorectal carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Inclusion of cytological features in tumor grading improves prognostic stratification of patients with colorectal cancer.International journal of colorectal disease · 2016Article
- Genetic variations in genes of metabolic enzymes predict postoperational prognosis of patients with colorectal cancer.Molecular cancer · 2015Article
- Prognostic biomarkers: an introduction.Virchows Archiv : an international journal of pathology · 2014Article
- Current approaches for predicting a lack of response to anti-EGFR therapy in KRAS wild-type patients.BioMed research international · 2014Review
- Cytotoxic T-lymphocyte Antigen-4 (In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer remains a major cause of cancer-related death worldwide. One way to reduce its staggering mortality rate and socio-economic burden is to predict outcome based on the aggressiveness of the tumor biology in order to treat patients accordingly to their risk profile. As such, it comes as no surprise that prognostic biomarker discovery is a hot topic in colorectal cancer research. The last two decades have literally produced tons of new data and an avalanche of potential clinically applicable biomarkers. This review explores and summarizes data concerning the prognostic strength and clinical utility of current and future tissue biomarkers in the diagnosis and treatment of colorectal cancer.
Indexed as
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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.