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S51 Multi-site target capture sequencing confirms intra-tumour heterogeneity of pleural mesothelioma

2023· article· en· W4388424681 on OpenAlexaff
Anca Năstase, Amit Kumar Mandal, Yao-Zhong Zhang, Jonathan Ish-Horowicz, Stephen Wilkinson, LL Lazdunski, AG Nicholson, Déborah Morris-Rosendahl, MF Moffatt, WOCM Cookson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsARID1AMesotheliomaImmunohistochemistryBiologyGenetic heterogeneityPathologyCancer researchExtrapleural PneumonectomyMutationGeneMedicineLung cancerGeneticsPhenotypePneumonectomy

Abstract

fetched live from OpenAlex

Background Pleural mesothelioma is a rare, aggressive cancer. It is characterised by intra-tumour genomic heterogeneity (ITH) that has a direct impact on a patient’s clinical outcome including selection and response to therapy. Methods To gain insight into spatial ITH, we have conducted target gene sequencing of 26 tumour samples and matched blood samples from four mesothelioma patients. For each patient tumour samples were taken from multiple affected regions including lateral, diaphragmatic, and mediastinal sites. Histology and immunohistochemistry were conducted on all samples. Results We observed quite marked genetic heterogeneity across tumours for three patients. In the remaining patient NF2 mutations was detected in all tumour samples with high variant allele frequencies (≥50% in three samples and >30% in the other three) pointing to an early clonal origin. Immunohistochemistry showed focal or total loss of protein BAP1 in all patients but mutations or single copy number aberrations (sCNA) were only seen in two patients. Aberrations of SETD2, on chromosome 3, were detected in single samples from two patients. Mutations in the SWI/SNF chromatin remodelling member ARID1A, and its homolog ARID1B, were also identified heterogeneously in three patients: ARID1B was present in 4/6 samples in one patient and in 1/7 samples for a second patient, ARID1A in 1/7 samples in a third patient. ARID1A mutated tumours may be targeted in vitro with EZH2 inhibitors thus it may be considered as a potential therapeutic target for a subset of pleural mesothelioma patients. Mutations in MET, TSC1 and SF3B1 were detected in single samples from two patients. sCNA of the cytobands containing SUFU (Hedgehog pathway) on chromosome 10q24.32 was detected in two samples from one patient, and RBFOX1 on chromosome 16p13.13 was detected in two different samples from the same patient. RBFOX1 is within a chromosomal region that has been implicated in autoimmunity. Conclusions Spatial profiling of pleural mesothelioma revealed marked inter and intra- patient heterogeneity, with only one patient showing an apparent founder mutation in NF2. Although alterations affecting Hippo, Hedgehog or SWI/SNF pathways may define subsets of responders to therapies, it is possible that underlying heterogeneity will result in poor response.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.292
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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