Evidence map›Paper›PMID 35054980›Full record

ArticleInternational journal of molecular sciences2022

Identification of a Novel Five-Gene Signature as a Prognostic and Diagnostic Biomarker in Colorectal Cancers.

Souvik Ghatak, Syrina F Mehrabi, Lubna M Mehdawi, Shakti Ranjan Satapathy, Anita Sjölander

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. Article
  6. Biomarkers for Early Detection of Cancer: Molecular Aspects.International journal of molecular sciences · 2023
    Article
  7. Article
  8. Review
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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

5 authors at 1 institution in 1 country.

Souvik GhatakCell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.ORCID 0000-0003-3976-5345
Syrina F MehrabiCell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.ORCID 0000-0002-4943-7663
Lubna M MehdawiCell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.
Shakti Ranjan SatapathyCell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.ORCID 0000-0002-3212-8960
Anita SjölanderCell and Experimental Pathology, Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.ORCID 0000-0002-1495-4206
Lund University · SE

Funding

Swedish Cancer Society 18-0748
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality worldwide. The current TNM (Tumor, Node, and Metastasis) classification approach is suboptimal in determining the prognosis of CRC patients. The prognosis for CRC is affected by a variety of features that are present at the initial diagnosis. Herein, we performed a systematic exploration and established a novel five-panel gene signature as a prognostic and early diagnosis biomarker after performing differential gene expression analyses in five independent in silico CRCs cohort and independently validating it in one clinical cohort, using immunohistochemistry. Four genes (

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticColorectal NeoplasmsDatabases, GeneticGene Expression ProfilingHumansImmunohistochemistryKaplan-Meier EstimateMolecular Diagnostic TechniquesPrognosisProportional Hazards ModelsROC CurveTranscriptomeBiomarkers, TumorBDNFcolon cancerCTNNB1diagnosisGSK3BHPGDprognosisPTGS2

Identifiers

PMID35054980
PMCPMC8776147
OpenAlexW4206070044

What OpenQuestion holds

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LicenceCC BY
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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.