Evidence map›Paper›PMID 29416445›Full record

ArticleClinical proteomics2018

The cancer proteomic landscape and the HUPO Cancer Proteome Project.

Connie R Jimenez, Hui Zhang, Christopher R Kinsinger, Edouard C Nice

Abstract read
In one paragraph

Article in Clinical proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Predicting Anticancer Drug Resistance Mediated by Mutations.Pharmaceuticals (Basel, Switzerland) · 2022
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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

4 authors.

Connie R Jimenez1OncoProteomics Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-3103-4508
Hui Zhang2Department of Pathology, Mass Spectrometry Core Facility, Center for Biomarker Discovery and Translation, Johns Hopkins University, Baltimore, MD 21287 USA.
Christopher R Kinsinger3Office of the Clinical Proteomic, Tumor Analysis Consortium at the National Cancer Institute, National Institutes of Health, Bethesda, MD 20892 USA.
Edouard C Nice4Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800 Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Human Cancer Proteome Project (Cancer-HPP) is an international initiative organized by HUPO whose key objective is to decipher the human cancer proteome through a coordinated effort by cancer proteome researchers around the world. The ultimate goal is to map the entire human cancer proteome to disclose tumor biology and drive improved diagnostics, treatment and management of cancer. Here we report the progress in the cancer proteomics field to date, and discuss future proteomic developments that will be needed to optimally delineate cancer phenotypes and advance the molecular characterization of this significant disease that is one of the leading causes of death worldwide.

Indexed as

Clinical tumor proteomicsHuman Cancer Proteome ProjectInternational cancer proteomics initiatives

Identifiers

PMID29416445
PMCPMC5785860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.