Evidence map›Paper›PMID 40702333›Full record

ArticleCancer gene therapy2025

Rapamycin rescues APC-mutated colon organoid differentiation.

Aline Habib, Rose Mamistvalov, Dalit Ben-Yosef

Abstract read
In one paragraph

Article in Cancer gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

3 authors.

Aline HabibInstitution of Reproduction and IVF, Lis Maternity Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Rose MamistvalovInstitution of Reproduction and IVF, Lis Maternity Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Dalit Ben-YosefInstitution of Reproduction and IVF, Lis Maternity Hospital, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel. dalitb@tlvmc.gov.il.ORCID http://orcid.org/0000-0001-9206-7920

Funding

Israel Science Foundation (ISF) 1629/20
6 · The paper itself

Abstract

Familial adenomatous polyposis (FAP) is an autosomal dominant disorder characterized by germline mutations in the adenomatous polyposis coli (APC) gene. This leads to numerous colorectal adenomas and a high risk of colorectal cancer (CRC). Our stem cell-derived colon organoid model revealed that a heterozygous APC mutation is sufficient to induce colorectal cancer formation. We found a link between APC mutation type, organoid maturation and FAP severity. Here, we show that severe germline mutations in hESCs employ diverse mechanisms of carcinogenesis. FAP1-hESCs expressing a truncated 332-amino acid protein exhibited a hyperactivated mTOR pathway, including PTEN inactivation and increased S6K1 and eIF4E activation. This affected oncogenic c-Myc expression and contributed to apoptosis resistance. Rapamycin treatment restored differentiation potential in FAP1 organoids but not FAP2 organoids, which expressed a larger truncated protein without mTOR pathway activation. Our in vitro colon organoids system findings were validated in human patients. Notably, a colon from a FAP1 patient exhibited high expression of mTOR pathway proteins. These findings highlight the potential of rapamycin for personalized therapy in FAP patients with distinct mTOR-mediated APC mutations. Our colon organoid model is valuable for studying CRC and developing new diagnostic, preventive, and therapeutic approaches to prevent or delay tumorigenesis in FAP patients.

Indexed as

Adenomatous Polyposis ColiAdenomatous Polyposis Coli ProteinColonOrganoidsSirolimusCell DifferentiationHumansMutationTOR Serine-Threonine KinasesAdenomatous Polyposis Coli ProteinAPC protein, humanSirolimusTOR Serine-Threonine Kinases

Identifiers

PMID40702333
PMCPMC12396962

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Registered trials

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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.