Evidence map›Paper›PMID 36892933›Full record

ArticleeLife2023

Interrogating the precancerous evolution of pathway dysfunction in lung squamous cell carcinoma using XTABLE.

Matthew Roberts, Julia Ogden, A S Mukarram Hossain, Anshuman Chaturvedi, Alastair R W Kerr, Caroline Dive, Jennifer Ellen Beane, Carlos Lopez-Garcia

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In one paragraph

Article in eLife, 2023. 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
–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

6 citing papers in PubMed.

  1. Anoikis-Related Genes Signature Contributes to Predicting Prognosis and Response to Immunotherapy in Lung Squamous Cell Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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

8 authors.

Matthew RobertsCancer Biomarker Centre, Cancer Research UK Manchester Institute, The University of Manchester, Macclesfield, United Kingdom.
Julia OgdenCancer Research UK Lung Cancer Centre of Excellence, Alderley Park, United Kingdom.
A S Mukarram HossainCancer Biomarker Centre, Cancer Research UK Manchester Institute, The University of Manchester, Macclesfield, United Kingdom.
Anshuman ChaturvediCancer Research UK Lung Cancer Centre of Excellence, Alderley Park, United Kingdom.
Alastair R W KerrCancer Biomarker Centre, Cancer Research UK Manchester Institute, The University of Manchester, Macclesfield, United Kingdom.ORCID https://orcid.org/0000-0001-9207-6050
Caroline DiveCancer Biomarker Centre, Cancer Research UK Manchester Institute, The University of Manchester, Macclesfield, United Kingdom.
Jennifer Ellen BeaneBoston University School of Medicine, Boston, United States.
Carlos Lopez-GarciaCancer Research UK Lung Cancer Centre of Excellence, Alderley Park, United Kingdom.ORCID https://orcid.org/0000-0001-9848-8216

Funding

Cancer Research UK 29569Cancer Research UK A25146
6 · The paper itself

Abstract

Lung squamous cell carcinoma (LUSC) is a type of lung cancer with a dismal prognosis that lacks adequate therapies and actionable targets. This disease is characterized by a sequence of low- and high-grade preinvasive stages with increasing probability of malignant progression. Increasing our knowledge about the biology of these premalignant lesions (PMLs) is necessary to design new methods of early detection and prevention, and to identify the molecular processes that are key for malignant progression. To facilitate this research, we have designed XTABLE (E

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsPrecancerous ConditionsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansLungBiomarkers, Tumorcancer biologychromosomal instabilitycomputational biologyhumanlung squamous cell carcinomaprecancerous lesionsshiny appsystems biologytranscriptomics

Identifiers

PMID36892933
PMCPMC10038660

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read19
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.