Evidence map›Paper›PMID 27924065›Full record

ReviewJournal of biomedical research2016

The more the messier: centrosome amplification as a novel biomarker for personalized treatment of colorectal cancers.

Monica M Mahathre, Padmashree Cg Rida, Ritu Aneja

Abstract readReview
In one paragraph

Review in Journal of biomedical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Monica M MahathreDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Padmashree Cg RidaDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Ritu AnejaDepartment of Biology, Georgia State University, Atlanta, GA 30303, USA.
Georgia State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colon cancer is currently the third most common cancer and second most fatal cancer in the United States, resulting in approximately 600,000 deaths annually. Though colorectal cancer death rates are decreasing by about 3% every year, disease outcomes could be substantially improved with more research into the drivers of colon carcinogenesis, the determinants of aggressiveness in colorectal cancer and the identification of biomarkers that could enable choice of more optimal treatments. Colon carcinogenesis is notably a slow process that can take decades. Known factors that contribute to the development of colon cancer are mutational, epigenetic and environmental, and risk factors include age, history of polyps and family history of colon cancer. Colorectal cancers exhibit heterogeneity in their features and are often characterized by the presence of chromosomal instability, microscopic satellite instability, or CpG island methylator phenotype. In this review, we propose that centrosome amplification may be a widespread occurrence in colorectal cancers and could potently influence tumor biology. Moreover, the quantitation of this cancer-specific anomaly could offer valuable prognostic information and pave the way for further customization of treatment based on the organellar profile of patients. Patient stratification models that take into account centrosomal status could thus potentially reduce adverse side effects and result in improved outcomes for colorectal cancer patients.

Indexed as

aneuploidybiomarkercentrosome amplificationchromosomal instabilitycolorectal cancerprognostic

Identifiers

PMID27924065
PMCPMC5138576
OpenAlexW2588609587

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.