Evidence map›Paper›PMID 41169265›Full record

ArticleCancer science2026

Comprehensive Colorectal Cancer Stem Cell Transcriptomic Signatures That Can Predict Patient Prognostic Outcomes.

Fumihiko Kakizaki, Hiroyuki Miyoshi, Takehito Yamamoto, Tomonori Morimoto, Hiroyuki Matsubara, Shoichi Kitano, Tadayoshi Yamaura, Hisatsugu Maekawa, J B Brown, Tosiya Shun Sato and 4 more

Abstract read
In one paragraph

Article in Cancer science, 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

14 authors.

Fumihiko KakizakiPersonalized Cancer Therapy Laboratory, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiroyuki MiyoshiPersonalized Cancer Therapy Laboratory, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Takehito YamamotoDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-2236-7124
Tomonori MorimotoDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0003-0535-0889
Hiroyuki MatsubaraDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shoichi KitanoPersonalized Cancer Therapy Laboratory, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-2633-6413
Tadayoshi YamauraDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hisatsugu MaekawaPersonalized Cancer Therapy Laboratory, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
J B BrownCenter for Cancer Immunotherapy and Immunobiology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tosiya Shun SatoInnovation Research Promotion Center, Institute of Statistical Mathematics, and Data Science and AI, Shiga University, Hikone, Shiga, Japan.
Kazutaka ObamaDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoshiharu SakaiDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Kenji KawadaDepartment of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Makoto Mark TaketoPersonalized Cancer Therapy Laboratory, Medical Innovation Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID https://orcid.org/0000-0002-9032-4505

Funding

Japan Agency for Medical Research and Development ck0106195hJapan Science and Technology Agency ST261001TTJapan Society for the Promotion of Science JP18H02639Japan Society for the Promotion of Science JP21K06948
6 · The paper itself

Abstract

Based on mRNA Expression Profiles of 57 Patient-Derived Colorectal Cancer Stem-Like Cell (CRC-SC) Lines Compared With Normal Colonic Epithelial Stem-Like Cells (NCE-SCs), we Identified Five CRC Subtypes. The First Subtype of CRC-SCs Showed Markedly Increased Expression of MUC12, PIGR, PLA2G2A, SLC4A4, and ZG16, Which Were Barely Detectable in the Other Subtypes. Importantly, Their Expression Correlated With Favorable Outcomes in Both the Discovery Cohort and Independent Two Test Cohorts From Public Databases. The Remaining Four Subtypes Showed High Expression of DEFA6, BST2, MAGEA6, or IGF2 Compared With NCE-SCs. Although the Expression of Each Gene Individually Influenced Patient Outcomes, Additional Co-Expressed Genes Within Each Subtype Were Also Associated With Prognosis. Furthermore, Integrating the Five Subtype-Specific Signatures Produced a Practical Prognostic Indicator, Designated as the General Colorectal Cancer Signature (GCS), and Provided Individualized Predictive Signatures for Each Patient. The Clinical Significance of GCS Was Further Validated in a Novel Orthotopic Xenograft Mouse Model, Which Recapitulated Patient Outcomes: CRC-SCs With Low GCS Scores Developed Distinct Liver and Lung Metastases, Whereas Those With High Scores Did Not. Apparent Associations Were Observed Between Activating RAS/RAF Mutations and BST2 Expression, and Between the Absence of SMAD4 Mutation and IGF2 Expression, but These Had no Significant Impact on Patient Survival, Suggesting That Driver Gene Mutations May Not Directly Influence GCS. Collectively, Our Findings Provide a Comprehensive Overview of Clinically Relevant Molecular Subtypes of CRC-SCs, Representing the Current Landscape of CRC Molecular Expression Subtypes. They Also Enable Rapid, Low-Cost Outcome Prediction and Suggest Potential Targets for Therapeutics Development.

Indexed as

Colorectal NeoplasmsNeoplastic Stem CellsTranscriptomeAnimalsBiomarkers, TumorCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicePrognosisBiomarkers, Tumorcolorectal neoplasmsmetastasisneoplastic stem cellsprognosistranscriptome

Identifiers

PMID41169265
PMCPMC12775578

What OpenQuestion 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 OpenQuestion graph.