Evidence map›Paper›PMID 29928381›Full record

ReviewOncology letters2018

The molecular characteristics of colorectal cancer: Implications for diagnosis and therapy.

Ha Thi Nguyen, Hong-Quan Duong

Open access · diamondAbstract readReview
In one paragraph

Review in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 175 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
175citing papers in PubMed, 2 pooled it
17.8field-weighted citation impact, top 1% 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

175 citing papers in PubMed, 2 syntheses or guidelines pooled it, 237 citations in OpenAlex.

  1. Pooled it
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  12. Association between KRAS gene mutation and clinicopathological factors in patients with metastatic colorectal cancer.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
    Article
  13. Review
  14. Integrating multi-omics data: Methods and applications in human complex diseases.Biotechnology reports (Amsterdam, Netherlands) · 2025
    Review
  15. Article
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  20. Review

115 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Ha Thi NguyenCenter for Molecular Biology, Institute of Research and Development, Duy Tan University, Danang 550000, Vietnam.
Hong-Quan DuongDepartment of Cancer Research, Vinmec Research Institute of Stem Cell and Gene Technology, Hanoi 100000, Vietnam.
Duy Tan University · VNVinmec International Hospital · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) results from the progressive accumulation of multiple genetic and epigenetic aberrations within cells. The progression from colorectal adenoma to carcinoma is caused by three major pathways: Microsatellite instability, chromosomal instability and CpG island methylator phenotype. A growing body of scientific evidences suggests that CRC is a heterogeneous disease, and genetic characteristics of the tumors determine their prognostic outcome and response to targeted therapies. Early diagnosis and effective targeted therapies based on a current knowledge of the molecular characteristics of CRC are essential to the successful treatment of CRC. Therefore, the present review summarized the current understanding of the molecular characteristics of CRC, and discussed its implications for diagnosis and targeted therapy.

Indexed as

chromosomal instabilitycolorectal cancerCpG island methylator phenotypeearly diagnosismicrosatellite instabilitymolecular characteristicstargeted therapy

Identifiers

PMID29928381
PMCPMC6006272
OpenAlexW2803068508

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.