Evidence map›Paper›PMID 39315764›Full record

ArticleJournal of clinical laboratory analysis2024

Application of Different Staining Methods in the Diagnosis of Pigment-Rich Melanoma.

Zhou Chengmin, Li Jiayu, Hou Jun, Liu Yang, Yehan Zhou

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zhou ChengminDepartment of Pathology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Li JiayuDepartment of Pathology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Hou JunDepartment of Pathology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Liu YangDepartment of Pathology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yehan ZhouDepartment of Pathology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID https://orcid.org/0009-0007-1480-1414

Funding

Sichuan Provincial Foundation of Science and Technology 2023NSFSC0626
6 · The paper itself

Abstract

objectiveTo compare the application of different treatments in the diagnosis of melanoma with severe pigment interference, to solve the problem of pigment interference with immunohistochemical interpretation.

methodsThe pigment-rich melanomas were first depigmented with potassium permanganate using a concentration gradient (0.1%, 0.5%, 1%) and a time gradient (1, 5, 10, 15, 30 min, 6 h), and the optimal concentration and time were found. Then, 12 cases of pigment-rich melanoma tissues were collected, and the tissues were stained with diaminobenzidine (DAB), alkaline phosphatase-fast red (AP red), multiplex immunofluorescence (MIF), and 3-amino-9-ethylcarbazole (AEC), and ferrous sulfate, comparing different methods, positive expression of HMB45, MelanA, S100, SOX10, ki67.

resultsFirst, the concentration of 0.5% potassium permanganate after 15 min treatment of the pigment significantly faded, and the intensity of antibody positivity was better than other concentrations and time. Second, after depigmentation treatment, the antibody positivity rate was 41.7%-66.7% for DAB, 66.7%-91.7% for AP red, 83.3%-100% for multiplex immunofluorescence, 25%-33.3% for AEC, and 33.3% for ferrous sulfate.

conclusionAP red staining and mIF are more suitable for the diagnosis of melanoma with severe pigment interference, and AP red staining is more economical and practical.

Indexed as

MelanomaAdultAgedFemaleHumansImmunohistochemistryMaleMiddle AgedSkin NeoplasmsStaining and Labelingdepigmentationimmunohistochemistrymelanoma

Identifiers

PMID39315764
PMCPMC11520935

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