Evidence map›Paper›PMID 42733572›Full record

ArticleJID innovations : skin science from molecules to population health2026

Imaging transcriptomics in basal cell carcinoma: Coupling in vivo tumor morphology with gene expression.

Kevin Jacobsen, Olivia Luxford Meyer, Stine Bøttcher Jacobsen, Vinzent Kevin Ortner, Silje Haukali Omland, Katrine Elisabeth Karmisholt, Martin Glud, Stine Regin Wiegell, Aditi Sahu, Cyril Maliakal and 4 more

Abstract read
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In one paragraph

Article in JID innovations : skin science from molecules to population health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Kevin JacobsenDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Olivia Luxford MeyerSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Stine Bøttcher JacobsenSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Vinzent Kevin OrtnerDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Silje Haukali OmlandDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Katrine Elisabeth KarmisholtDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Martin GludDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Stine Regin WiegellDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Aditi SahuDermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Cyril MaliakalDermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Niels MorlingSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Peter Alshede PhilipsenDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.
Jeppe Dyrberg AndersenSection of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Merete HaedersdalDepartment of Dermatology, Copenhagen University Hospital-Bispebjerg and Frederiksberg, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combining spatial and molecular information enhances understanding of skin cancer biology. In this exploratory study, we investigated such associations in basal cell carcinoma (BCC) using 2 non-invasive approaches: line-field confocal optical coherence tomography (LC-OCT) to assess tumor morphology and tape stripping for gene expression profiling. With development, this combined image-transcriptomic approach could contribute to understanding of BCC pathogenesis in vivo. Histology-confirmed BCCs (n = 53) and control skin were scanned with LC-OCT for 44 morphological features and sampled via tape stripping for mRNA analysis. Differentially expressed genes were identified and examined through pathway-enrichment to uncover mechanisms. Seven LC-OCT image-features were associated with BCC compared with control skin (

Indexed as

OCTSkin cancerTape strippingWhole transcriptome sequencing

Identifiers

PMID42733572
PMCPMC13571268

What OpenQuestion holds

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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.