Evidence map›Paper›PMID 35885640›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Melanoma Detection by AFM Indentation of Histological Specimens.

Byoungjun Jeon, Hyo Gi Jung, Sang Won Lee, Gyudo Lee, Jung Hee Shim, Mi Ok Kim, Byung Jun Kim, Sang-Hyon Kim, Hyungbeen Lee, Sang Woo Lee and 4 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
1.4field-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, 9 citations in OpenAlex.

  1. Sentinel Lymph Node Biopsy in Melanoma: Overview and Updates.International journal of molecular sciences · 2025
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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

14 authors at 6 institutions in 1 country.

Byoungjun JeonInterdisciplinary Program for Bioengineering, Graduate School, Seoul National University, Seoul 08826, Korea.
Hyo Gi JungSchool of Biomedical Engineering, Korea University, Seoul 02841, Korea.
Sang Won LeeSchool of Biomedical Engineering, Korea University, Seoul 02841, Korea.ORCID 0000-0001-5850-6555
Gyudo LeeDepartment of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Korea.ORCID 0000-0001-7895-5112
Jung Hee ShimDepartment of Plastic and Reconstructive Surgery, Research Services, Seoul National University Bundang Hospital, Seongnam 13620, Korea.
Mi Ok KimDepartment of Plastic and Reconstructive Surgery, Institute of Human Environment Interface Biology, Seoul National University College of Medicine, Seoul 03087, Korea.
Byung Jun KimDepartment of Plastic and Reconstructive Surgery, Institute of Human Environment Interface Biology, Seoul National University College of Medicine, Seoul 03087, Korea.
Sang-Hyon KimDepartment of Internal Medicine, Keimyung University Dongsan Medical Center, Daegu 41931, Korea.
Hyungbeen LeeDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, Korea.
Sang Woo LeeDepartment of Biomedical Engineering, Yonsei University, Wonju 26493, Korea.
Dae Sung YoonSchool of Biomedical Engineering, Korea University, Seoul 02841, Korea.
Seong Jin JoDepartment of Dermatology, Seoul National University College of Medicine, Seoul 03087, Korea.
Tae Hyun ChoiDepartment of Plastic and Reconstructive Surgery, Institute of Human Environment Interface Biology, Seoul National University College of Medicine, Seoul 03087, Korea.
Wonseok LeeDepartment of Electrical Engineering, Korea National University of Transportation, Chungju 27469, Korea.
Seoul National University · KRKorea University · KRYonsei University · KRKeimyung University Dongsan Medical Center · KRKorea National University of Transportation · KRSeoul National University Bundang Hospital · KR

Funding

National Research Foundation (NRF) NRF-2018M3C1B7020722National Research Foundation (NRF) NRF-2019R1A2B5B01070617National Research Foundation (NRF) NRF-2019R1C1C1005668National Research Foundation (NRF) NRF-2020R1A2C2102262
6 · The paper itself

Abstract

Melanoma is visible unlike other types of cancer, but it is still challenging to diagnose correctly because of the difficulty in distinguishing between benign nevus and melanoma. We conducted a robust investigation of melanoma, identifying considerable differences in local elastic properties between nevus and melanoma tissues by using atomic force microscopy (AFM) indentation of histological specimens. Specifically, the histograms of the elastic modulus of melanoma displayed multimodal Gaussian distributions, exhibiting heterogeneous mechanical properties, in contrast with the unimodal distributions of elastic modulus in the benign nevus. We identified this notable signature was consistent regardless of blotch incidence by sex, age, anatomical site (e.g., thigh, calf, arm, eyelid, and cheek), or cancer stage (I, IV, and V). In addition, we found that the non-linearity of the force-distance curves for melanoma is increased compared to benign nevus. We believe that AFM indentation of histological specimens may technically complement conventional histopathological analysis for earlier and more precise melanoma detection.

Indexed as

atomic force microscopybenign nevusmalignant melanomamechanical characterizationnanoindentation

Identifiers

PMID35885640
PMCPMC9323377
OpenAlexW4285732108

What OpenQuestion holds

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LicenceCC BY
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.