Evidence map›Paper›PMID 35236940›Full record

ReviewNature reviews. Cancer2022

Cancer proteogenomics: current impact and future prospects.

D R Mani, Karsten Krug, Bing Zhang, Shankha Satpathy, Karl R Clauser, Li Ding, Matthew Ellis, Michael A Gillette, Steven A Carr

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
125citing papers in PubMed, 1 pooled it
21.2field-weighted citation impact, top 1% 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

125 citing papers in PubMed, 1 synthesis or guideline pooled it, 198 citations in OpenAlex.

  1. Pooled it
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  14. TPC2 regulates proteomic remodeling, bioenergetic phenotypes, and mitochondrial stress adaptation in melanoma.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026
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65 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 1 country.

D R ManiBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. manidr@broadinstitute.org.ORCID 0000-0003-3914-133X
Karsten KrugBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Bing ZhangLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Shankha SatpathyBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.ORCID 0000-0002-6040-4854
Karl R ClauserBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
Li DingDepartment of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Matthew EllisLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA.
Michael A GilletteBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.ORCID 0000-0001-9300-1448
Steven A CarrBroad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA. scarr@broad.mit.edu.ORCID 0000-0002-7203-4299
Broad Institute · USBaylor College of Medicine · USWashington University in St. Louis · US

Funding

Translational Research in Breast Cancer (SPORE)P50CA186784 · NCI · BAYLOR COLLEGE OF MEDICINE · PI MATTHEW J ELLIS · 2014 to 2026
$24.5M
Proteo-genomic Discovery, Prioritization and Verification of Cancer BiomarkersU24CA160034 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, PAULOVICH, AMANDA G · 2011 to 2016
$16.2M
Washington University PDX Development and Trial Center - Evaluation of Abemaciclib in Combination with Olaparib in Ovarian Cancer and Breast Cancer Patient-derived Xenograft ModelsU54CA224083 · NCI · WASHINGTON UNIVERSITY · PI Li Ding · 2017 to 2026
$13.0M
WASHINGTON UNIVERSITY HUMAN TUMOR ATLAS RESEARCH CENTERU2CCA233303 · NCI · WASHINGTON UNIVERSITY · PI DING, LI · 2018 to 2023
$9.7M
MICROSCALED PROTEOGENOMICS FOR CANCER CLINICAL TRIALSU01CA214125 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ANURAG, MEENAKSHI, CARR, STEVEN A · 2017 to 2021
$7.0M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA210986 · NCI · BROAD INSTITUTE, INC. · PI CARR, STEVEN A, GILLETTE, MICHAEL A · 2016 to 2020
$6.4M
Center of Excellence for High Throughput Proteogenomic CharacterizationU24CA270823 · NCI · BROAD INSTITUTE, INC. · PI STEVEN A CARR, MICHAEL A GILLETTE · 2022 to 2026
$5.3M
iPGDAC, An Integrative Proteogenomic Data Analysis Center for CPTACU24CA210954 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ZHANG, BING · 2016 to 2020
$4.9M
Integrated high throughput proteogenomic data analysis center for CPTACU24CA210979 · NCI · BROAD INSTITUTE, INC. · PI BIRGER, CHET, GETZ, GAD A · 2016 to 2020
$4.4M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
Pathogenic Variant Discovery Across a Broad Spectrum of Human DiseasesR01HG009711 · NHGRI · WASHINGTON UNIVERSITY · PI CHEN, FENG, DING, LI · 2017 to 2020
$2.2M
Deep Discovery and Clinical Interpretation of Germline and Somatic Cancer DriversU24CA211006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI, GOVINDAN, RAMASWAMY · 2016 to 2020
$1.8M
NCI NIH HHS P50 CA186784NCI NIH HHS U01 CA214125NCI NIH HHS U24 CA160034NCI NIH HHS U24 CA210954NCI NIH HHS U24 CA210972NCI NIH HHS U24 CA210979NCI NIH HHS U24 CA210986NCI NIH HHS U24 CA211006NCI NIH HHS U2C CA233303NCI NIH HHS U54 CA224083NHGRI NIH HHS R01 HG009711
6 · The paper itself

Abstract

Genomic analyses in cancer have been enormously impactful, leading to the identification of driver mutations and development of targeted therapies. But the functions of the vast majority of somatic mutations and copy number variants in tumours remain unknown, and the causes of resistance to targeted therapies and methods to overcome them are poorly defined. Recent improvements in mass spectrometry-based proteomics now enable direct examination of the consequences of genomic aberrations, providing deep and quantitative characterization of tumour tissues. Integration of proteins and their post-translational modifications with genomic, epigenomic and transcriptomic data constitutes the new field of proteogenomics, and is already leading to new biological and diagnostic knowledge with the potential to improve our understanding of malignant transformation and therapeutic outcomes. In this Review we describe recent developments in proteogenomics and key findings from the proteogenomic analysis of a wide range of cancers. Considerations relevant to the selection and use of samples for proteogenomics and the current technologies used to generate, analyse and integrate proteomic with genomic data are described. Applications of proteogenomics in translational studies and immuno-oncology are rapidly emerging, and the prospect for their full integration into therapeutic trials and clinical care seems bright.

Indexed as

NeoplasmsProteogenomicsDNA Copy Number VariationsGenomicsHumansProteomics

Identifiers

PMID35236940
PMCPMC12404316
OpenAlexW4214929667

What Socratic 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 Socratic graph.