Evidence map›Paper›PMID 30949321›Full record

ArticleGastroenterology and hepatology from bed to bench2019

Gene expression profile analysis of colon cancer grade II into grade III transition by using system biology.

Mohammad Rostami-Nejad, Sina Rezaei Tavirani, Vahid Mansouri, Somayeh Jahani-Sherafat, Hamideh Moravvej Farshi

Abstract read
In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Peptidomic changes in human serous colorectal cancer patients.Journal of gastrointestinal oncology · 2023
    Article
  2. Article
  3. Identification of the effects of acid-resistantIranian journal of basic medical sciences · 2021
    Article
  4. Article
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

5 authors.

Mohammad Rostami-NejadGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sina Rezaei TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Vahid MansouriProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Somayeh Jahani-SherafatMicrobiology Department, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Hamideh Moravvej FarshiSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimGene expression profile analysis of colon cancer grade II into grade III transition by using system biology.

backgroundColon cancer is one of lethal cancer in men and women. Treatment in advanced colon cancer is difficult and survival rate is low.

methodsGene expression profiles of children patients with non-preforated appendicitis in comparison with the samples with non- appendicitis abdominal pain are analysis via protein - protein interaction PPI and the critical compounds are introduced by STITCH.

resultsSix critical genes including MAPK3, AKT1, SRC, TP53, GAPDH, and ALB were identified as a possible biomarker panel related to colon cancer grade II to III transition. Among these critical genes roles of MAPK3, AKT1, SRC, TP53 are highlighted.

conclusionIt was concluded that target therapy to regulate SRC and TP53 may be the effective therapeutic way to treatment of colon cancer and more researches in necessary to design drugs for these purposes.

Indexed as

biomarkerColon cancergene

Identifiers

PMID30949321
PMCPMC6441480

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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.