Evidence map›Paper›PMID 39240715›Full record

ArticleCell reports2024

Cell-specific models reveal conformation-specific RAF inhibitor combinations that synergistically inhibit ERK signaling in pancreatic cancer cells.

Thomas Sevrin, Hiroaki Imoto, Sarah Robertson, Nora Rauch, Uscinnia Dyn'ko, Katerina Koubova, Kieran Wynne, Walter Kolch, Oleksii S Rukhlenko, Boris N Kholodenko

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phase II Trial of Vemurafenib and Sorafenib Combination in AdvancedJournal of immunotherapy and precision oncology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Potential Drug Synergy Through the ERBB2 Pathway in HER2+ Breast Tumors.International journal of molecular sciences · 2024
    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.

Thomas SevrinSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Hiroaki ImotoSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Sarah RobertsonSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Nora RauchSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Uscinnia Dyn'koSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Katerina KoubovaSystems Biology Ireland, University College Dublin, Dublin, Ireland; Department of Histology and Embryology, Faculty of Medicine and Dentistry, Palacky University, 779 00 Olomouc, Czech Republic.
Kieran WynneSystems Biology Ireland, University College Dublin, Dublin, Ireland.
Walter KolchSystems Biology Ireland, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Ireland; School of Medicine and Medical Science, University College Dublin, Dublin, Ireland.
Oleksii S RukhlenkoSystems Biology Ireland, University College Dublin, Dublin, Ireland. Electronic address: oleksii.rukhlenko@ucd.ie.
Boris N KholodenkoSystems Biology Ireland, University College Dublin, Dublin, Ireland; Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Dublin, Ireland; School of Medicine and Medical Science, University College Dublin, Dublin, Ireland; Department of Pharmacology, Yale University School of Medicine, New Haven, CT, USA. Electronic address: boris.kholodenko@ucd.ie.

Funding

Multiscale Modeling to Optimize Inhibition of Oncogenic ERK Pathway SignalingR01CA244660 · NCI · YALE UNIVERSITY · PI HLAVACEK, WILLIAM S, KHOLODENKO, BORIS N · 2020 to 2024
$3.4M
A QUANTITATIVE, PREDICTIVE MODEL OF VASCULAR REMODELING IN HEALTH AND DISEASER01HL171773 · NHLBI · YALE UNIVERSITY · PI Martin A Schwartz, Michael Simons · 2024 to 2026
$2.0M
Mechanisms of Central Autonomic Orchestration of Blood PressureR33HL088283 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI VADIGEPALLI, RAJANIKANTH · 2006 to 2008
$846k
NCI NIH HHS R01 CA244660NHLBI NIH HHS R01 HL171773NHLBI NIH HHS R33 HL088283
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) presents significant challenges for targeted clinical interventions due to prevalent KRAS mutations, rendering PDAC resistant to RAF and MEK inhibitors (RAFi and MEKi). In addition, responses to targeted therapies vary between patients. Here, we explored the differential sensitivities of PDAC cell lines to RAFi and MEKi and developed an isogenic pair comprising the most sensitive and resistant PDAC cells. To simulate patient- or tumor-specific variations, we constructed cell-line-specific mechanistic models based on protein expression profiling and differential properties of KRAS mutants. These models predicted synergy between two RAFi with different conformation specificity (type I½ and type II RAFi) in inhibiting phospho-ERK (ppERK) and reducing PDAC cell viability. This synergy was experimentally validated across all four studied PDAC cell lines. Our findings underscore the need for combination approaches to inhibit the ERK pathway in PDAC.

Indexed as

Carcinoma, Pancreatic DuctalMAP Kinase Signaling SystemPancreatic NeoplasmsProtein Kinase InhibitorsCell Line, TumorDrug SynergismHumansProto-Oncogene Proteins p21(ras)raf KinasesKRAS protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)raf Kinasescell-line-specific mechanistic modelCP: Cancerdrug combinationsERK pathwayKRAS mutationpancreatic ductal adenocarcinomaRAF inhibitorssynergytargeted therapy resistance

Identifiers

PMID39240715
PMCPMC11474227

What OpenQuestion holds

Textmetadata
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.