Evidence map›Paper›PMID 34011980›Full record

ArticleScientific reports2021

Patient-derived tumor xenograft and organoid models established from resected pancreatic, duodenal and biliary cancers.

Nhu-An Pham, Nikolina Radulovich, Emin Ibrahimov, Sebastiao N Martins-Filho, Quan Li, Melania Pintilie, Jessica Weiss, Vibha Raghavan, Michael Cabanero, Robert E Denroche and 13 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
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

21 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. KRAS Inhibition in Pancreatic Ductal Adenocarcinoma.Journal of clinical medicine · 2026
    Review
  7. Article
  8. Article
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  11. Article
  12. Review
  13. Real timeOncotarget · 2023
    Article
  14. BRAFScience advances · 2023
    Article
  15. Review
  16. Review
  17. Article
  18. Review on Advanced Cancer Modeling for a Cancer Study.Current issues in molecular biology · 2022
    Article
  19. Review
  20. Article
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

23 authors at 7 institutions in 2 countries.

Nhu-An Pham *Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Nikolina Radulovich *Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Emin Ibrahimov *Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Sebastiao N Martins-FilhoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Quan LiPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Melania PintiliePrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Jessica WeissPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Vibha RaghavanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Michael CabaneroPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Robert E DenrocheOntario Institute of Cancer Research (OICR), Toronto, ON, Canada.
Julie M WilsonOntario Institute of Cancer Research (OICR), Toronto, ON, Canada.
Cristiane Metran-NascentePrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Ayelet BorgidaLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.
Shawn HutchinsonDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Anna DoddDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Michael BegoraDepartment of Pathology, UHN Program in BioSpecimen Sciences, University Health Network, Toronto, ON, Canada.
Dianne ChadwickDepartment of Pathology, UHN Program in BioSpecimen Sciences, University Health Network, Toronto, ON, Canada.
Stefano SerraDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Jennifer J KnoxDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Steven GallingerPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
David W HedleyDivision of Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Lakshmi MuthuswamyCancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Ming-Sound TsaoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada. ming.tsao@uhn.ca.
University Health Network · CAPrincess Margaret Cancer Centre · CAUniversity of Toronto · CABeth Israel Deaconess Medical Center · USInstitute of Cancer Research · CALunenfeld-Tanenbaum Research Institute · CAOntario Institute for Cancer Research · CA

Funding

CIHR FDN-148395CIHR MOP-137071
6 · The paper itself

Abstract

Patient-derived xenograft (PDX) and their xenograft-derived organoid (XDO) models that recapitulate the genotypic and phenotypic landscape of patient cancers could help to advance research and lead to improved clinical management. PDX models were established from 276 pancreato-duodenal and biliary cancer resections. Initial, passage 0 (P0) engraftment rates were 59% (118/199) for pancreatic, 86% (25/29) for duodenal, and 35% (17/48) for biliary ductal tumors. Pancreatic ductal adenocarcinoma (PDAC), had a P0 engraftment rate of 62% (105/169). KRAS mutant and wild-type PDAC models were molecularly profiled, and XDO models were generated to perform initial drug response evaluations. Subsets of PDAC PDX models showed global copy number variants and gene expression profiles that were retained with serial passaging, and they showed a spectrum of somatic mutations represented in patient tumors. PDAC XDO models were established, with a success rate of 71% (10/14). Pathway activation of KRAS-MAPK in PDXs was independent of KRAS mutational status. Four wild-type KRAS models were characterized by one with EGFR (L747-P753 del), two with BRAF alterations (N486_P490del or V600E), and one with triple negative KRAS/EGFR/BRAF. Model OCIP256, characterized by BRAF (N486-P490 del), had activated phospho-ERK. A combination treatment of a pan-RAF inhibitor (LY3009120) and a MEK inhibitor (trametinib) effectively suppressed phospho-ERK and inhibited growth of OCIP256 XDO and PDX models. PDAC/duodenal adenocarcinoma have high success rates forming PDX/organoid and retaining their phenotypic and genotypic features. These models may be effective tools to evaluate novel drug combination therapies.

Indexed as

Xenograft Model Antitumor AssaysAnimalsAntineoplastic AgentsBiliary Tract NeoplasmsCell ProliferationDose-Response Relationship, DrugDuodenal NeoplasmsHumansMiceMice, Inbred NODMice, SCIDMutationOrganoidsPancreatic NeoplasmsAntineoplastic Agents

Identifiers

PMID34011980
PMCPMC8134568
OpenAlexW3133183473

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.