Evidence map›Paper›PMID 30706659›Full record

ReviewProteomics. Clinical applications2019

Neoantigens in Chronic Obstructive Pulmonary Disease and Lung Cancer: A Point of View.

Lona Zeneyedpour, Lennard J M Dekker, Jenny J M van Sten-van T Hoff, Peter C Burgers, Nick H T Ten Hacken, Theo M Luider

Open access · hybridAbstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. COPD and Immune Checkpoint Inhibitors for Cancer: A Literature Review.International journal of chronic obstructive pulmonary disease · 2024
    Review
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  7. Article
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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

6 authors at 2 institutions in 1 country.

Lona ZeneyedpourDepartment of Neurology, Erasmus MC, Rotterdam, 3015 GE, Netherlands.
Lennard J M DekkerDepartment of Neurology, Erasmus MC, Rotterdam, 3015 GE, Netherlands.
Jenny J M van Sten-van T HoffDepartment of Neurology, Erasmus MC, Rotterdam, 3015 GE, Netherlands.
Peter C BurgersDepartment of Neurology, Erasmus MC, Rotterdam, 3015 GE, Netherlands.
Nick H T Ten HackenDepartment of Pulmonology, University Medical Center Groningen/University of Groningen, 9713 Groningen, Netherlands.
Theo M LuiderDepartment of Neurology, Erasmus MC, Rotterdam, 3015 GE, Netherlands.ORCID 0000-0003-1962-561X
Erasmus MC · NLUniversity Medical Center Groningen · NL

Funding

CliniMark e-COST CA 16113
6 · The paper itself

Abstract

The goal of this manuscript is to explore the role of clinical proteomics for detecting mutations in chronic obstructive pulmonary disease (COPD) and lung cancer by mass spectrometry-based technology. COPD and lung cancer caused by smoke inhalation are most likely linked by challenging the immune system via partly shared pathways. Genome-wide association studies have identified several single nucleotide polymorphisms which predispose an increased susceptibility to COPD and lung cancer. In lung cancer, this leads to coding mutations in the affected tissues, development of neoantigens, and different functionality and abundance of proteins in specific pathways. If a similar reasoning can also be applied in COPD will be discussed. The technology of mass spectrometry has developed into an advanced technology for proteome research detecting mutated peptides or proteins and finding relevant molecular mechanisms that will enable predicting the response to immunotherapy in COPD and lung cancer patients.

Indexed as

ProteomicsAmino Acid SequenceAntigensHumansLung NeoplasmsMutation, MissensePulmonary Disease, Chronic ObstructiveAntigensCOPDlung cancerneoantigens

Identifiers

PMID30706659
PMCPMC6593722
OpenAlexW2911391451

What Socratic 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 Socratic graph.