Evidence map›Paper›PMID 32424005›Full record

ArticleGut2021

Targeting dual signalling pathways in concert with immune checkpoints for the treatment of pancreatic cancer.

Erik S Knudsen, Vishnu Kumarasamy, Sejin Chung, Amanda Ruiz, Paris Vail, Stephanie Tzetzo, Jin Wu, Ram Nambiar, Jared Sivinski, Shailender S Chauhan and 4 more

Open access · greenAbstract read
In one paragraph

Article in Gut, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.4field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 87 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Erik S KnudsenCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA erik.knudsen@roswellpark.org Agnieszka.Witkiewicz@roswellpark.org.ORCID 0000-0002-5130-5969
Vishnu KumarasamyCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Sejin ChungCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Amanda RuizCancer Center, University of Arizona, Tucson, Arizona, USA.
Paris VailCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Stephanie TzetzoImmunology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Jin WuCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Ram NambiarCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Jared SivinskiCancer Center, University of Arizona, Tucson, Arizona, USA.
Shailender S ChauhanCancer Center, University of Arizona, Tucson, Arizona, USA.
Mukund SeshadriOral Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Scott I AbramsImmunology, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Jianmin WangBiostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Agnieszka K WitkiewiczCenter for Personalized Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA erik.knudsen@roswellpark.org Agnieszka.Witkiewicz@roswellpark.org.
Roswell Park Comprehensive Cancer Center · USUniversity of Arizona · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Common Genetically Altered Pathways as Targets for Therapy in Pancreatic CancerR01CA211878 · NCI · UNIVERSITY OF ARIZONA · PI KNUDSEN, ERIK, WITKIEWICZ, AGNIESZKA · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA211878
6 · The paper itself

Abstract

objectiveThis study exploits the intersection between molecular-targeted therapies and immune-checkpoint inhibition to define new means to treat pancreatic cancer.

designPatient-derived cell lines and xenograft models were used to define the response to CDK4/6 and MEK inhibition in the tumour compartment. Impacts relative to immunotherapy were performed using subcutaneous and orthotopic syngeneic models. Single-cell RNA sequencing and multispectral imaging were employed to delineate effects on the immunological milieu in the tumour microenvironment.

resultsWe found that combination treatment with MEK and CDK4/6 inhibitors was effective across a broad range of PDX models in delaying tumour progression. These effects were associated with stable cell-cycle arrest, as well as the induction of multiple genes associated with interferon response and antigen presentation in an RB-dependent fashion. Using single-cell sequencing and complementary approaches, we found that the combination of CDK4/6 and MEK inhibition had a significant impact on increasing T-cell infiltration and altering myeloid populations, while potently cooperating with immune checkpoint inhibitors.

conclusionsTogether, these data indicate that there are canonical and non-canonical features of CDK4/6 and MEK inhibition that impact on the tumour and immune microenvironment. This combination-targeted treatment can promote robust tumour control in combination with immune checkpoint inhibitor therapy.

Indexed as

Molecular Targeted TherapyAnimalsCarcinoma, Pancreatic DuctalCell Culture TechniquesCell Cycle CheckpointsCell Line, TumorCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Disease Models, AnimalHumansImmune Checkpoint InhibitorsMiceMitogen-Activated Protein Kinase KinasesPancreatic NeoplasmsSignal TransductionXenograft Model Antitumor AssaysCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Immune Checkpoint InhibitorsMitogen-Activated Protein Kinase Kinasescancer geneticscell cycleimmunotherapypancreatic cancer

Identifiers

PMID32424005
PMCPMC7671951
OpenAlexW3024120111

What OpenQuestion holds

Textmetadata
LicenceTDM
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.