Evidence map›Paper›PMID 42579310›Full record

ReviewChemical biology & drug design2026

Application of Systems Genetics to Investigate Molecular Pathology of Early-Onset Colorectal Cancer.

Minjae J Kim, Sydney L Carr, Vishnutheertha Kulkarni, Mary-Louise Manchadi

Abstract readReview
In one paragraph

Review in Chemical biology & drug design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Minjae J KimUniversity of Tennessee Health Science Center College of Medicine, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0003-3445-0619
Sydney L CarrUniversity of Tennessee Health Science Center College of Medicine, Memphis, Tennessee, USA.
Vishnutheertha KulkarniUniversity of Queensland Medical School, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-3555-4401
Mary-Louise ManchadiUniversity of Queensland Medical School, Brisbane, Queensland, Australia.

Funding

Health Science Center, University of TennesseeUniversity of Queensland 2010002134
6 · The paper itself

Abstract

Colorectal cancer (CRC) is the second most common cause of cancer-related deaths in the United States. The incidence of early-onset CRC (EOCRC) has been rising in the past few decades. Given the multifaceted nature of EOCRC, the genetic and environmental factors contributing to this malignancy have remained elusive. Systems genetics is a multi-omics tool that analyzes multiple genes as a collective network. Transcriptional correlation, protein-protein interaction network, functional annotation, and drug-gene interaction analyzes enable investigators to explore the functional roles of target genes and aid with discovery of novel diagnostic biomarkers and potential therapeutics. To clarify the objective of this work, this manuscript serves three purposes: a narrative review of recent systems genetics applications in EOCRC research, a step-by-step protocol for conducting these analyses, and a discussion of current advances in systems genetics to address limitations in generalizability and context dependence. Through this manuscript, we envision a future in which emerging oncology researchers adopt these tools into their investigations of EOCRC and other malignancies.

Indexed as

Colorectal NeoplasmsBiomarkers, TumorHumansMultiomicsProtein Interaction MapsBiomarkers, Tumorbiomarker discoverydiscovering drug targetsdrug researchearly‐onset colorectal cancergenomicsmechanisms of diseasemulti‐omicsproteomicstranscriptomics

Identifiers

PMID42579310
PMCPMC13460241

What Socratic holds

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LicenceCC BY
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.