Evidence map›Paper›PMID 31231611›Full record

ArticleFrontiers in oncology2019

Pancreatic Cancer Organoids for Determining Sensitivity to Bromodomain and Extra-Terminal Inhibitors (BETi).

Benjamin Bian, Natalia Anahi Juiz, Odile Gayet, Martin Bigonnet, Nicolas Brandone, Julie Roques, Jérôme Cros, Nenghui Wang, Nelson Dusetti, Juan Iovanna

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01692873 (Research for Prognostic and Predictive Biomarkers of Therapeutic Response in Pancreatic Tumors - PACAomics / IPC 2011-004), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.6field-weighted citation impact, top 9% 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.

NCT01692873 nacompletednot on this map

Research for Prognostic and Predictive Biomarkers of Therapeutic Response in Pancreatic Tumors - PACAomics / IPC 2011-004

TypeinterventionalSponsorInstitut Paoli-CalmettesRan2012 to 2017Enrolled274ConditionsPancreatic TumorArmssuspected pancreatic tumor
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
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  4. Review
  5. Making In Vitro Tumor Models Whole Again.Advanced healthcare materials · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Small Activating RNA Modulation of the G Protein-Coupled Receptor for Cancer Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
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  16. Organoid technology for personalized pancreatic cancer therapy.Cellular oncology (Dordrecht, Netherlands) · 2021
    Review
  17. Review
  18. Review
  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

10 authors at 4 institutions in 1 country.

Benjamin BianCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Natalia Anahi JuizCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Odile GayetCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Martin BigonnetCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Nicolas BrandoneCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Julie RoquesCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Jérôme CrosPathology Department, Beaujon Hospital, Assistance Publique-Hôpitaux de Paris, UMR 1149, Inflammation Research Center, INSERM - Paris Diderot University, Paris, France.
Nenghui WangNingbo Wenda Pharma Technology Ltd., Zhejiang, China.
Nelson DusettiCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Juan IovannaCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.
Centre National de la Recherche Scientifique · FRInserm · FRCentre de Recherche en Cancérologie de Marseille · FRAix-Marseille Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a heterogeneous disease, therefore stratification of patients is essential to predict their responses to therapies and to choose the best treatment. PDAC-derived organoids were produced from PDTX and Endoscopic Ultrasound-Guided Fine-Needle Aspiration (EUS-FNA) biopsies. A signature based on 16 genes targets of the c-MYC oncogene was applied to classify samples into two sub-groups with distinctive phenotypes named MYC-high and MYC-low. The analysis of 9 PDTXs and the corresponding derived organoids revealed that this signature which was previously designed from PDTX is transferable to the organoid model. Primary organoids from 24 PDAC patients were treated with NHWD-870 or JQ1, two inhibitors of c-MYC transcription. Notably, the comparison of their effect between the two sub-groups showed that both compounds are more efficient in MYC-high than in MYC-low samples, being NHWD-870 the more potent treatment. In conclusion, this study shows that the molecular signatures could be applied to organoids obtained directly from PDAC patients to predict the treatment response and could help to take the more appropriate therapeutic decision for each patient in a clinical timeframe.

Indexed as

c-MYCJQ1NHWD-870organoidspancreatic cancer

Identifiers

PMID31231611
PMCPMC6560163
OpenAlexW2954999982

What OpenQuestion holds

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Registered trials

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.