Evidence map›Paper›PMID 39497856›Full record

ArticleJID innovations : skin science from molecules to population health2024

Differential Expression Analysis of Cutaneous Squamous Cell Carcinoma and Basal Cell Carcinoma Proteomic Profiles Sampled with Electroporation-Based Biopsy.

Edward Vitkin, Julia Wise, Ariel Berl, Ofir Shir-Az, Batel Gabay, Amrita Singh, Vladimir Kravtsov, Zohar Yakhini, Avshalom Shalom, Alexander Golberg

Abstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Edward VitkinPorter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.
Julia WisePorter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.
Ariel BerlDepartment of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel.
Ofir Shir-AzDepartment of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel.
Batel GabayPorter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.
Amrita SinghPorter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.
Vladimir KravtsovDepartment of Pathology, Meir Medical Center, Kfar Sava, Israel.
Zohar YakhiniEfi Arazi School of Computer Science, Reichman University, Herzliya, Israel.
Avshalom ShalomDepartment of Plastic Surgery, Meir Medical Center, Kfar Sava, Israel.
Alexander GolbergPorter School of Environment and Earth Sciences, Tel Aviv University, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical misdiagnosis between cutaneous squamous cell carcinoma (cSCC) and basal cell carcinoma (BCC) affects treatment plans. We report a tissue sampling approach with molecular biopsy using electroporation. This method, coined electroporation-based biopsy (e-biopsy), enables nondestructive nonthermal permeabilization of cells in the skin for vacuum-assisted extraction of biomolecules. We used e-biopsy for ex vivo proteome extraction from 3 locations per patient in 21 cSCC, 20 BCC, and 7 actinic keratosis human skin samples. Using liquid chromatography with tandem mass spectrometry, we identified 5966 proteins observed with nonzero intensity in at least 1 sample. The intrapatient Pearson correlation of 0.888 ± 0.065 for patients with BCC, 0.858 ± 0.077 for patients with cSCC, and 0.876 ± 0.116 for those with solar actinic keratosis indicates high consistency of the e-biopsy sampling. The mass spectra presented significantly different proteome profiles for cSCC, BCC, and solar actinic keratosis, with several hundreds of proteins differentially expressed. Notably, our study showed that proteomes sampled with e-biopsy from cSCC and BCC lesions are different and that proteins of

Indexed as

DiagnosticsFinite elements modelingMachine learningMolecular pathologyProtein–protein interactionSkin cancer

Identifiers

PMID39497856
PMCPMC11532231

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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.