Evidence map›Paper›PMID 31521603›Full record

ArticleCell systems2019

Proteogenomic Network Analysis of Context-Specific KRAS Signaling in Mouse-to-Human Cross-Species Translation.

Douglas K Brubaker, Joao A Paulo, Shikha Sheth, Emily J Poulin, Olesja Popow, Brian A Joughin, Samantha Dale Strasser, Alina Starchenko, Steven P Gygi, Douglas A Lauffenburger and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

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

44 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  13. Omics-based molecular classifications empowering in precision oncology.Cellular oncology (Dordrecht, Netherlands) · 2024
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  14. Article
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  16. TargetingInternational journal of molecular sciences · 2024
    Review
  17. Article
  18. Article
  19. Oncogenic dependency plays a dominant role in the immune response to cancer.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  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

11 authors at 3 institutions in 1 country.

Douglas K BrubakerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Joao A PauloDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Shikha ShethCancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Emily J PoulinCancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Olesja PopowCancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Brian A JoughinDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Samantha Dale StrasserDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Alina StarchenkoDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Steven P GygiDepartment of Cell Biology, Harvard Medical School, Boston, MA 02115, USA.
Douglas A LauffenburgerDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: lauffen@mit.edu.
Kevin M HaigisCancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; Harvard Digestive Disease Center, Harvard Medical School, Boston, MA 02115, USA. Electronic address: khaigis@bidmc.harvard.edu.
Beth Israel Deaconess Medical Center · USHarvard University · USMassachusetts Institute of Technology · US

Funding

STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
NDEx - the Network Data Exchange A Network Commons for BiologistsU24CA184427 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PRATT, DEXTER · 2014 to 2021
$5.7M
A multi-faceted approach to identifying K-Ras synthetic lethal relationshipsU01CA199252 · NCI · DANA-FARBER CANCER INST · PI ELLEDGE, STEPHEN J, HAIGIS, KEVIN · 2015 to 2019
$4.7M
Systems approaches to understanding the relationships between genotype, signaling, and therapeutic efficacyU01CA215798 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HAAS, WILHELM, HAIGIS, KEVIN · 2017 to 2021
$3.7M
Modeling KRAS genetic heterogeneity in mouse modelsR01CA195744 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI HAIGIS, KEVIN · 2016 to 2018
$1.7M
Advancing Multiplexed Isobaric Tag-based Strategies for Proteome ProfilingR01GM132129 · NIGMS · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2019 to 2023
$1.7M
Resolving the role of nicotine-mediated phosphorylation on pancreatic fibrosisK01DK098285 · NIDDK · HARVARD MEDICAL SCHOOL · PI PAULO, JOAO A · 2013 to 2017
$638k
The mechanism of cancer-specific allele selection for K-RASF31CA243163 · NCI · HARVARD MEDICAL SCHOOL · PI SHETH, SHIKHA · 2019 to 2020
$66k
Cancer Research UK 27144NCI NIH HHS F31 CA243163NCI NIH HHS R01 CA195744NCI NIH HHS U01 CA199252NCI NIH HHS U01 CA215798NCI NIH HHS U24 CA184427NIDDK NIH HHS K01 DK098285NIDDK NIH HHS P30 DK034854NIGMS NIH HHS R01 GM132129
6 · The paper itself

Abstract

The highest frequencies of KRAS mutations occur in colorectal carcinoma (CRC) and pancreatic ductal adenocarcinoma (PDAC). The ability to target downstream pathways mediating KRAS oncogenicity is limited by an incomplete understanding of the contextual cues modulating the signaling output of activated K-RAS. We performed mass spectrometry on mouse tissues expressing wild-type or mutant Kras to determine how tissue context and genetic background modulate oncogenic signaling. Mutant Kras dramatically altered the proteomes and phosphoproteomes of preneoplastic and neoplastic colons and pancreases in a context-specific manner. We developed an approach to statistically humanize the mouse networks with data from human cancer and identified genes within the humanized CRC and PDAC networks synthetically lethal with mutant KRAS. Our studies demonstrate the context-dependent plasticity of oncogenic signaling, identify non-canonical mediators of KRAS oncogenicity within the KRAS-regulated signaling network, and demonstrate how statistical integration of mouse and human datasets can reveal cross-species therapeutic insights.

Indexed as

Gene Regulatory NetworksMetabolic Networks and PathwaysAnimalsCarcinogenesisCarcinoma, Pancreatic DuctalCellular MicroenvironmentColorectal NeoplasmsComputational BiologyDatasets as TopicDisease Models, AnimalHumansMiceMutationProtein BiosynthesisProteogenomicsProto-Oncogene Proteins p21(ras)KRAS protein, humanProto-Oncogene Proteins p21(ras)ASLcancerCDK2colonKRASMETpancreasphosphoproteomicsproteomicsSMAD3species-translation

Identifiers

PMID31521603
PMCPMC6816257
OpenAlexW2972639591

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.