Evidence map›Paper›PMID 33509940›Full record

ArticleCancer research2021

High-Density, Targeted Monitoring of Tyrosine Phosphorylation Reveals Activated Signaling Networks in Human Tumors.

Lauren E Stopfer, Cameron T Flower, Aaron S Gajadhar, Bhavin Patel, Sebastien Gallien, Daniel Lopez-Ferrer, Forest M White

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.4field-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

40 citing papers in PubMed, 73 citations in OpenAlex.

  1. Article
  2. Proteomic approaches for interrogating kinase signaling networks.The Journal of investigative dermatology · 2026
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  10. Enhanced Sample Multiplexing-Based Targeted Proteomics with Intelligent Data Acquisition.Journal of the American Society for Mass Spectrometry · 2024
    Article
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  19. Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024
    Review
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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

7 authors at 3 institutions in 2 countries.

Lauren E StopferKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.ORCID 0000-0001-6984-3004
Cameron T FlowerKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.ORCID 0000-0002-9632-9913
Aaron S GajadharThermo Fisher Scientific, San Jose, California.ORCID 0000-0002-1200-6608
Bhavin PatelThermo Fisher Scientific, Rockford, Illinois.
Sebastien GallienThermo Fisher Scientific, Precision Medicine Science Center, Cambridge, Massachusetts.ORCID 0000-0002-3544-992X
Daniel Lopez-FerrerThermo Fisher Scientific, San Jose, California.
Forest M WhiteKoch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts. fwhite@mit.edu.
Precision for Medicine (United States) · USThermo Fisher Scientific (United States) · USThermo Fisher Scientific (Israel) · IL

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous ChemicalsP42ES027707 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Desiree Plata · 2017 to 2026
$22.2M
TRAINING GRANTS IN ENVIROMENTAL TOXICOLOGYT32ES007020 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ESSIGMANN, JOHN M · 1985 to 2024
$13.1M
Trans Network ProjectU54CA210180 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SARKARIA, JANN N., WHITE, FOREST M · 2016 to 2020
$10.2M
Graduate Training in Computational and Systems BiologyT32GM087237 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2009 to 2023
$4.6M
Identification of adaptive response mechanisms in breast cancer by information theory and proteomicsU01CA238720 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KRAVCHENKO-BALASHA, NATALY, WHITE, FOREST M · 2019 to 2023
$2.0M
NCI NIH HHS P30 CA014051NCI NIH HHS U01 CA238720NCI NIH HHS U54 CA210180NIEHS NIH HHS P42 ES027707NIEHS NIH HHS T32 ES007020NIGMS NIH HHS T32 GM087237
6 · The paper itself

Abstract

Tyrosine phosphorylation (pTyr) plays a pivotal role in signal transduction and is commonly dysregulated in cancer. As a result, profiling tumor pTyr levels may reveal therapeutic insights critical to combating disease. Existing discovery and targeted mass spectrometry-based methods used to monitor pTyr networks involve a tradeoff between broad coverage of the pTyr network, reproducibility in target identification across analyses, and accurate quantification. To address these limitations, we developed a targeted approach, termed "SureQuant pTyr," coupling low input pTyr enrichment with a panel of isotopically labeled internal standard peptides to guide data acquisition of low-abundance tyrosine phosphopeptides. SureQuant pTyr allowed for reliable quantification of several hundred commonly dysregulated pTyr targets with high quantitative accuracy, improving the robustness and usability of targeted mass spectrometry assays. We established the clinical applicability of SureQuant pTyr by profiling pTyr signaling levels in human colorectal tumors using minimal sample input, characterizing patient-specific oncogenic-driving mechanisms. While in some cases pTyr profiles aligned with previously reported proteomic, genomic, and transcriptomic molecular characterizations, we highlighted instances of new insights gained using pTyr characterization and emphasized the complementary nature of pTyr measurements with traditional biomarkers for improving patient stratification and identifying therapeutic targets. The turn-key nature of this approach opens the door to rapid and reproducible pTyr profiling in research and clinical settings alike and enables pTyr-based measurements for applications in precision medicine. SIGNIFICANCE: SureQuant pTyr is a mass spectrometry-based targeted method that enables sensitive and selective targeted quantitation of several hundred low-abundance tyrosine phosphorylated peptides commonly dysregulated in cancer, including oncogenic signaling networks.

Indexed as

Protein Processing, Post-TranslationalSignal TransductionA549 CellsCD8-Positive T-LymphocytesChromatography, LiquidColorectal NeoplasmsErbB ReceptorsHumansMass SpectrometryPhosphopeptidesPhosphorylationProtein Interaction MapsProteomeProteomicsTyrosineEGFR protein, humanErbB ReceptorsPhosphopeptidesProteomeTyrosine

Identifiers

PMID33509940
PMCPMC8137532
OpenAlexW3125681153

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.