Evidence map›Paper›PMID 30017829›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2018

Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.

Michael F Sharpnack, Nilini Ranbaduge, Arunima Srivastava, Ferdinando Cerciello, Simona G Codreanu, Daniel C Liebler, Celine Mascaux, Wayne O Miles, Robert Morris, Jason E McDermott and 10 more

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

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  18. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
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

20 authors at 9 institutions in 3 countries.

Michael F SharpnackDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
Nilini RanbadugeDepartment of Chemistry, The Ohio State University, Columbus, Ohio.
Arunima SrivastavaDepartment of Computer Science and Engineering, The Ohio State University, Columbus, Ohio.
Ferdinando CercielloDepartment of Oncology, University Hospital Zurich, Zürich, Switzerland.
Simona G CodreanuDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee.
Daniel C LieblerDepartment of Biochemistry, Vanderbilt University, Nashville, Tennessee.
Celine MascauxDepartment of Multidisciplinary Oncology and Therapeutic Innovations, Assistance Publique des Hôpitaux de Marseille, France; Aix-Marseille University, Marseille, France.
Wayne O MilesCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Robert MorrisCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Jason E McDermottBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA.
James L SharpnackDepartment of Statistics, University of California, Davis, California.
Joseph AmannComprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
Christopher A MaherDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Raghu MachirajuDepartment of Computer Science and Engineering, The Ohio State University, Columbus, Ohio.
Vicki H WysockiDepartment of Chemistry, The Ohio State University, Columbus, Ohio.
Ramaswami GovindanDepartment of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Parag MallickDepartment of Radiology, Stanford University, Palo Alto, California.
Kevin R CoombesDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
Kun HuangDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
David P CarboneComprehensive Cancer Center, The Ohio State University, Columbus, Ohio. Electronic address: david.carbone@osumc.edu.
The Ohio State University · USMassachusetts General Hospital · USVanderbilt University · USWashington University in St. Louis · USAix-Marseille Université · FRPacific Northwest National Laboratory · USPalo Alto University · USUniversity Hospital of Zurich · CHUniversity of California, Davis · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
TARGETING NOTCH 3 IN LUNG CANCERP50CA090949 · NCI · VANDERBILT UNIVERSITY · PI MASSION, PIERRE P. · 2001 to 2011
$24.1M
ECOG-ACRIN Thoracic Malignancies Integrated Translational Science CenterUG1CA233259 · NCI · EMORY UNIVERSITY · PI CARBONE, DAVID P., LEAL, TICIANA · 2019 to 2025
$5.1M
The OSU Clinical and Translational Research Informatics Training Program (CTRIP)T15LM011270 · NLM · OHIO STATE UNIVERSITY · PI COOMBES, KEVIN ROBERT, JANIES, DANIEL A. · 2012 to 2016
$2.2M
NCI NIH HHS P30 CA016058NCI NIH HHS P50 CA090949NCI NIH HHS UG1 CA233259NLM NIH HHS T15 LM011270
6 · The paper itself

Abstract

introductionDespite apparently complete surgical resection, approximately half of resected early-stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying who benefits from adjuvant therapy, the drivers of relapse, and novel targets in this setting.

methodsRNA sequencing and liquid chromatography/liquid chromatography-mass spectrometry proteomics data were generated from 51 surgically resected non-small cell lung tumors with known recurrence status.

resultsWe present a rationale and framework for the incorporation of high-content RNA and protein measurements into integrative biomarkers and show the potential of this approach for predicting risk of recurrence in a group of lung adenocarcinomas. In addition, we characterize the relationship between mRNA and protein measurements in lung adenocarcinoma and show that it is outcome specific.

conclusionsOur results suggest that mRNA and protein data possess independent biological and clinical importance, which can be leveraged to create higher-powered expression biomarkers.

Indexed as

Adenocarcinoma of LungFemaleHumansLung NeoplasmsMaleProteogenomicsBiomarkersLung adenocarcinomaNSCLCProteogenomicsProteomics

Identifiers

PMID30017829
PMCPMC7135954
OpenAlexW2865198046

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.