Evidence map›Paper›PMID 21385341›Full record

ArticleBMC cancer2011

Integrated mutation, copy number and expression profiling in resectable non-small cell lung cancer.

Genni M Newnham, Matthew Conron, Sueanne McLachlan, Alexander Dobrovic, Hongdo Do, Jason Li, Kenneth Opeskin, Natalie Thompson, Gavin M Wright, David M Thomas

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Prognostic and predictive effect ofTranslational lung cancer research · 2021
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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

10 authors at 4 institutions in 2 countries.

Genni M NewnhamDepartment of Oncology, St Vincent's Hospital, (Victoria Pde), Melbourne, (3065), Australia. Genni.Newnham@svhm.org.au
Matthew Conron
Sueanne McLachlan
Alexander Dobrovic
Hongdo Do
Jason Li
Kenneth Opeskin
Natalie Thompson
Gavin M Wright
David M Thomas
Peter MacCallum Cancer Centre · AUSt Vincent's Hospital · AUSt. Vincent's Birmingham · USUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to identify critical genes involved in non-small cell lung cancer (NSCLC) pathogenesis that may lead to a more complete understanding of this disease and identify novel molecular targets for use in the development of more effective therapies.

methodsBoth transcriptional and genomic profiling were performed on 69 resected NSCLC specimens and results correlated with mutational analyses and clinical data to identify genetic alterations associated with groups of interest.

resultsCombined analyses identified specific patterns of genetic alteration associated with adenocarcinoma vs. squamous differentiation; KRAS mutation; TP53 mutation, metastatic potential and disease recurrence and survival. Amplification of 3q was associated with mutations in TP53 in adenocarcinoma. A prognostic signature for disease recurrence, reflecting KRAS pathway activation, was validated in an independent test set.

conclusionsThese results may provide the first steps in identifying new predictive biomarkers and targets for novel therapies, thus improving outcomes for patients with this deadly disease.

Indexed as

AdultAgedAged, 80 and overAneuploidyCarcinoma, Non-Small-Cell LungCohort StudiesDNA Mutational AnalysisFemaleGene DosageGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedMutation

Identifiers

PMID21385341
PMCPMC3058106
OpenAlexW2002241524

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.