Evidence map›Paper›PMID 40740914›Full record

ArticleWorld journal of gastrointestinal surgery2025

Multi-omics perspectives for gastrointestinal malignancy: A systematic review.

Thai-Hau Koo, Yi-Lin Lee, Xue-Bin Leong, Firdaus Hayati, Mohd Hazeman Zakaria, Andee Dzulkarnaen Zakaria

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastrointestinal surgery, 2025. 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
–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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. From gut to mouth: salivary signatures of carcinogenic microbiota.Frontiers in cellular and infection microbiology · 2026
    Review
  6. Article
  7. Cancer genomics & proteomics
    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

6 authors.

Thai-Hau KooDepartment of Internal Medicine, University Sains Malaysia Specialist Hospital, Kubang Kerian 16150, Kelantan, Malaysia.
Yi-Lin LeeSchool of Medical Sciences, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia.
Xue-Bin LeongSchool of Medical Sciences, University Sains Malaysia, Health Campus, Kubang Kerian 16150, Kelantan, Malaysia.
Firdaus HayatiDepartment of Surgery, Faculty of Medicine and Health Sciences, University Malaysia Sabah, Kota Kinabalu 88400, Sabah, Malaysia.
Mohd Hazeman ZakariaDepartment of Radiology, Faculty of Medicine and Health Science, University Putra Malaysia, Serdang 43400, Selangor, Malaysia.
Andee Dzulkarnaen ZakariaDepartment of Surgery, School of Medical Sciences, University Sains Malaysia, Kota Bharu 16150, Kelantan, Malaysia. andee@usm.my.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrointestinal (GI) malignancies, including gastric and colorectal cancers, remain one of the primary contributors to cancer-related illness and death globally. Despite the availability of conventional diagnostic tools, early detection and personalized treatment remain significant clinical challenges. Integrated multi-omics methods encompassing genomic, transcriptomic, proteomic, metabolomic, and microbiome profiles have emerged as powerful tools for advancing precision oncology, improving diagnostic accuracy, and informing therapeutic strategies.

aimTo investigate the application of multi-omics approaches in the early detection, risk stratification, treatment optimization, and biomarker discovery of GI malignancies.

methodsThe systematic review process was conducted in accordance with the PRISMA 2020 guidelines. Five databases, PubMed, ScienceDirect, Scopus, ProQuest, and Web of Science, were searched for studies published in English from 2015 onwards. Eligible studies involved human subjects and focused on multi-omics integration in GI cancers, including biomarker identification, tumor microenvironment analysis, tumor heterogeneity, organoid modeling, and artificial intelligence (AI)-driven analytics. Data extraction included study characteristics, omics modalities, clinical applications, and evaluation of study quality conducted with the Cochrane risk of bias 2.0 instrument.

resultsA total of 17196 initially identified articles, 20 met the inclusion criteria. The findings highlight the superiority of multi-omics platforms over traditional biomarkers (

conclusionMulti-omics approaches offer significant advancements in the early diagnosis, prognostic evaluation, and personalized treatment of GI malignancies. Their integration with AI analytics, organoid biobanking, and microbiota modulation provides a pathway for precision oncology research.

Indexed as

Biomarker discoveryGastrointestinal malignancyMulti-omicsPrecision oncologyProteomicTherapeutic resistance

Identifiers

PMID40740914
PMCPMC12305287

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.