ReviewThe American journal of pathology2010
MicroRNAs as biomarkers in colorectal cancer.
Review in The American journal of pathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02596113 (Νew Molecular Biomarkers for the Prevention and Early Detection of Precancerous or Cancerous Colorectal Lesions During Screening for Colorectal Cancer), which is not on this map. Cited by 44 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.
Νew Molecular Biomarkers for the Prevention and Early Detection of Precancerous or Cancerous Colorectal Lesions During Screening for Colorectal Cancer
Who cites it
44 citing papers in PubMed, 78 citations in OpenAlex.
- The Genetic Landscape of Colorectal Cancer: From Molecular Alterations to Therapeutic Decision Pathways.Cancers · 2026Review
- 5'-Isoforms of miR-1246 Have Distinct Targets and Stronger Functional Impact Compared with Canonical miR-1246 in Colorectal Cancer Cells In Vitro.International journal of molecular sciences · 2024Article
- Utilizing an In-silico Approach to Pinpoint Potential Biomarkers for Enhanced Early Detection of Colorectal Cancer.Cancer informatics · 2024Article
- The Clinical Significance of MicroRNAs in Colorectal Cancer Signaling Pathways: A Review.Global medical genetics · 2023Review
- NF-κB downstream miR-1262 disturbs colon cancer cell malignant behaviors by targeting FGFR1.Acta biochimica et biophysica Sinica · 2023Article
- A Systems Biology Approach to Identify Novel Biomarkers in Progression from Crohn's Disease to Colorectal Cancer.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Potential Values of Circulating microRNA-21 to Predict Early Recurrence in Patients with Colorectal Cancer after Treatments.Journal of clinical medicine · 2022Article
- MiR-3614-5p Is a Potential Novel Biomarker for Colorectal Cancer.Frontiers in genetics · 2021Article
- Interaction of Gut Microbiome and Host microRNAs with the Occurrence of Colorectal and Breast Cancer and Their Impact on Patient Immunity.OncoTargets and therapy · 2021Review
- What could microRNA expression tell us more about colorectal serrated pathway carcinogenesis?World journal of gastroenterology · 2020Review
- Article
- Potential of miR-21 to Predict Incomplete Response to Chemoradiotherapy in Rectal Adenocarcinoma.Frontiers in oncology · 2020Article
- Identification of Tumorigenic and Prognostic Biomarkers in Colorectal Cancer Based on microRNA Expression Profiles.BioMed research international · 2020Article
- A network-based pathway-extending approach using DNA methylation and gene expression data to identify altered pathways.Scientific reports · 2019Article
- Review
- A Study on Effect of Oxaliplatin in MicroRNA Expression in Human Colon Cancer.Journal of Cancer · 2018Article
- Levels of MicroRNA Heterogeneity in Cancer Biology.Molecular diagnosis & therapy · 2017Review
- MicroRNA-645 is an oncogenic regulator in colon cancer.Oncogenesis · 2017Article
- miR-219-5p suppresses the proliferation and invasion of colorectal cancer cells by targeting calcyphosin.Oncology letters · 2017Article
- High miR-96 levels in colorectal adenocarcinoma predict poor prognosis, particularly in patients without distant metastasis at the time of initial diagnosis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
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 at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer is a leading cause of cancer-related morbidity and mortality in the Western world. While improved diagnostic surveillance and treatment strategies involving surgery, chemo-, and radiotherapy have all contributed to earlier detection and improved survival, treatment decisions are still made almost exclusively based on the cancer's clinicopathological stage at diagnosis. Therefore, the search for new biomarkers to facilitate early diagnosis and individualized treatment is particularly warranted. MicroRNAs (miRNAs) are short, noncoding RNAs that regulate gene expression through posttranscriptional interactions with mRNA, thereby potentially leading to a vast range of downstream effects that depend on the target proteins affected. The discovery that miRNAs may act as either oncogenes or tumor suppressors has initiated extensive research in the cancer field, leading to the identification of numerous miRNAs implicated in carcinogenesis and tumor progression. MiRNAs are chemically stable and can thus be detected in a broad range of clinical samples, making these molecules particularly attractive as potential biomarkers in cancer. While the knowledge of miRNA involvement in colorectal cancer biology is less extensive than for other cancer types and several targets with potential biological and clinical relevance have been identified, a significant amount of research is still needed. In this review, we explore the literature regarding the relevance of miRNAs in colorectal cancer, focusing in particular on miRNAs as potential diagnostic, prognostic, and predictive biomarkers.
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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.