Evidence map›Paper›PMID 41383502›Full record

ReviewFrontiers in oncology2025

Application of transcriptomics techniques in skin cancer.

Yuhan Ma, Fangfang Wang, Suling Xu

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Yuhan MaDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Fangfang WangDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Suling XuDepartment of Dermatology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin cancer is one of the most common malignant tumors worldwide, with its mortality rate showing a significant upward trend, thereby increasing the disease burden on patients and society. With the rapid development of next-generation sequencing technology, transcriptomics has revealed complex disease mechanisms by analyzing the expression patterns of differentially expressed genes, providing important tools for exploring the occurrence and development of skin cancer, studying the tumor microenvironment, investigating drug resistance mechanisms, and optimizing treatment strategies for skin cancer. This article aims to briefly summarize the development history of transcriptomics technology, review its research progress in skin cancer, and contribute to a more comprehensive understanding of the mechanisms underlying skin cancer development. It also holds promise for identifying potential therapeutic targets and providing new insights for clinical treatment of skin cancer.

Indexed as

basal cell carcinomamelanomasingle-cell transcriptomicsskin cancerspatial transcriptomicssquamous cell carcinoma of the skintranscriptomics

Identifiers

PMID41383502
PMCPMC12689359

What Socratic holds

Textmetadata
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 Socratic graph.