Evidence map›Paper›PMID 41650466›Full record

ArticleCancer discovery2026

Convergence for Inactivation of TGFβ Signaling Is a Common Feature of Advanced Pancreatic Cancer.

Jungeui Hong, Zachary A Kohutek, Haochen Zhang, Nicolas Lecomte, Elias-Ramzey Karnoub, Rajya Kappagantula, Laura D Wood, Eileen M O'Reilly, Marsha Reyngold, Christopher H Crane and 1 more

Abstract read
In one paragraph

Article in Cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Evolutionary paths towards metastasis.Nature reviews. Cancer · 2025
    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

11 authors.

Jungeui HongDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0009-5998-2102
Zachary A KohutekDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0009-0005-3220-6673
Haochen ZhangDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8292-9491
Nicolas LecomteDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-8977-1407
Elias-Ramzey KarnoubDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0823-1519
Rajya KappagantulaDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0009-0292-7882
Laura D WoodDivision of Gastrointestinal Pathology, Department of Pathology, Johns Hopkins Hospital, Baltimore, Maryland.ORCID 0000-0003-3096-652X
Eileen M O'ReillyDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8076-9199
Marsha ReyngoldDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9475-146X
Christopher H CraneDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5143-2784
Christine A Iacobuzio-DonahueDavid M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4672-3023

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
National Cancer Institute (NCI) CA220508National Cancer Institute (NCI) P50CA257881NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

We performed whole-exome sequencing of 250 unique tumor tissues from 30 multi-region sampled pancreatic cancer research autopsies from patients diagnosed with advanced-stage disease. Convergent evolution within the TGFβ pathway is a common feature of advanced-stage disease. However, SMAD4 inactivation is more common among de novo metastatic pancreatic ductal adenocarcinomas (PDAC), whereas inactivation of TGFβ surface receptors is more common among locally advanced nonmetastatic cancers. These differences in metastatic propensity were orthogonally validated in mice by orthotopic injections of PDAC organoids with SMAD4 versus TGFBR2 inactivation. No functionally deleterious driver gene mutations were identified that were attributed to treatment, although irradiated PDACs had significantly greater genomic complexity and distinct mutational signatures compared with PDACs managed by chemotherapy. These findings provide a high-level profile of the genetic features distinguishing locally advanced from metastatic PDAC, potentially serving as a biomarker of borderline resectable or locally advanced PDACs most likely to benefit from neoadjuvant chemoradiation. SIGNIFICANCE: This study fills an important gap in knowledge related to the characteristics of genomic alterations of advanced-stage disease. We expect that these findings will serve as a baseline reference set to identify mechanisms of resistance as novel therapies continue to become available for patients with PDAC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsReceptor, Transforming Growth Factor-beta Type IISmad4 ProteinTransforming Growth Factor betaAdultAgedAged, 80 and overAnimalsChemoradiotherapy, AdjuvantExome SequencingFemaleHumansMaleMiceMiddle AgedReceptor, Transforming Growth Factor-beta Type IISmad4 ProteinSMAD4 protein, humanTGFBR2 protein, humanTransforming Growth Factor beta

Identifiers

PMID41650466
PMCPMC13223546

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.