Evidence map›Paper›PMID 39209908›Full record

ArticleNature communications2024

XENTURION is a population-level multidimensional resource of xenografts and tumoroids from metastatic colorectal cancer patients.

Simonetta M Leto, Elena Grassi, Marco Avolio, Valentina Vurchio, Francesca Cottino, Martina Ferri, Eugenia R Zanella, Sofia Borgato, Giorgio Corti, Laura di Blasio and 16 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Efficacy of dual KRASCell death & disease · 2026
    Article
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  8. Review
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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

26 authors.

Simonetta M Leto *Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.ORCID 0000-0001-7580-6584
Elena Grassi *Candiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.ORCID 0000-0003-1066-927X
Marco AvolioCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Valentina VurchioCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Francesca CottinoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Martina FerriCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Eugenia R ZanellaCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Sofia BorgatoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Giorgio CortiDepartment of Oncology, University of Torino, Candiolo, Torino, Italy.ORCID 0000-0001-6379-4117
Laura di BlasioCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.ORCID 0000-0002-1337-7654
Desiana SomaleCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Marianela Vara-MesslerCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Francesco GalimiCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Francesco SassiCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Barbara LupoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Irene CatalanoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Marika PinnelliCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Marco VivianiCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.ORCID 0000-0003-4698-8870
Luca SpertiCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Alfredo MellanoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Alessandro FerreroMauriziano Umberto I Hospital, Torino, Italy.
Caterina C ZingarettiMauriziano Umberto I Hospital, Torino, Italy.
Alberto PuliafitoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.
Luca PrimoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy.ORCID 0000-0002-1294-0441
Andrea BertottiCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy. andrea.bertotti@ircc.it.
Livio TrusolinoCandiolo Cancer Institute - FPO IRCCS, Candiolo, Torino, Italy. livio.trusolino@ircc.it.ORCID 0000-0002-6379-3365

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 20697Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 21091Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 22795Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 22802Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 23211Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) 25040EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 724748 BEATEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Health (H2020 Societal Challenges - Health, Demographic Change and Well-being) 731105 EDIReXEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Health (H2020 Societal Challenges - Health, Demographic Change and Well-being) 754923 COLOSSUSEC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101058620 canSERV
6 · The paper itself

Abstract

The breadth and depth at which cancer models are interrogated contribute to the successful clinical translation of drug discovery efforts. In colorectal cancer (CRC), model availability is limited by a dearth of large-scale collections of patient-derived xenografts (PDXs) and paired tumoroids from metastatic disease, where experimental therapies are typically tested. Here we introduce XENTURION, an open-science resource offering a platform of 128 PDX models from patients with metastatic CRC, along with matched PDX-derived tumoroids. Multidimensional omics analyses indicate that tumoroids retain extensive molecular fidelity with parental PDXs. A tumoroid-based trial with the anti-EGFR antibody cetuximab reveals variable sensitivities that are consistent with clinical response biomarkers, mirror tumor growth changes in matched PDXs, and recapitulate EGFR genetic deletion outcomes. Inhibition of adaptive signals upregulated by EGFR blockade increases the magnitude of cetuximab response. These findings illustrate the potential of large living biobanks, providing avenues for molecularly informed preclinical research in oncology.

Indexed as

CetuximabColorectal NeoplasmsErbB ReceptorsXenograft Model Antitumor AssaysAnimalsFemaleHumansMaleMiceNeoplasm MetastasisCetuximabEGFR protein, humanErbB Receptors

Identifiers

PMID39209908
PMCPMC11362617

What OpenQuestion holds

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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.