Evidence map›Paper›PMID 32468587›Full record

ArticleInternational journal of cancer2020

Molecular characterisation of TP53 mutated squamous cell carcinomas of the lung to identify putative targets for therapy.

Vilde D Haakensen, Anand Khadse, Vandana Sandhu, Ann Rita Halvorsen, Steinar K Solberg, Lars H Jørgensen, Odd Terje Brustugun, Elin H Kure, Åslaug Helland

Open access · hybridAbstract read
In one paragraph

Article in International journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Vilde D HaakensenDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-0864-3628
Anand KhadseDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Vandana SandhuDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Ann Rita HalvorsenDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-1223-7948
Steinar K SolbergDepartment of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway.
Lars H JørgensenDepartment of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway.
Odd Terje BrustugunDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Elin H KureDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Åslaug HellandDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalised cancer treatment depends on identification of therapeutically relevant biological subgroups of patients for assessing effect of treatment and to discover new therapeutic options. By analyses in heterogeneous patient populations, the effects may be lost in noise. Squamous cell carcinoma of the lung is a major killer worldwide. Despite recent advances, mortality is high and response to therapies varies greatly from patient to patient. Target search in biologically relevant subgroups may identify treatment options not so far discovered. A total of 198 patients undergoing surgery for squamous cell carcinomas of the lung were included in the study. The tumours were analysed for copy number alterations (n = 152) and gene expression from tumour (n = 188) and normal lung (n = 21), with both data levels present in 140 patients. We studied alterations in tumours harbouring mutations in TP53 and in previously published gene expression subtypes. Genes with consistent alterations in both genomic levels were identified as putative biomarkers. Results were validated in TCGA. The most convincing biomarker in TP53 mutated squamous cell carcinomas of the lung was BIRC5 with amplification in 36% of mutated samples, 5% in wild-type samples and a 17%-fold change of expression between TP53 mutated tumours and normal lung tissue. BIRC5 was significantly altered in the classical and primitive subtypes. We suggest BIRC5 as a putative predictive biomarker and putative druggable target in squamous cell lung carcinomas harbouring TP53 mutation or classified as classical and primitive subtypes.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellFemaleGene AmplificationGene DosageGene Expression ProfilingGene Expression RegulationHumansMaleMiddle AgedMutationPrecision MedicineBiomarkers, TumorBIRC5 protein, humanSurvivinTP53 protein, humanTumor Suppressor Protein p53biomarkerBIRC5molecular profilingpersonalised cancer treatmentsquamous cell lung carcinoma

Identifiers

PMID32468587
PMCPMC7540694
OpenAlexW3031536151

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.