Evidence map›Paper›PMID 38099574›Full record

ArticleeLife2023

Single-cell sequencing highlights heterogeneity and malignant progression in actinic keratosis and cutaneous squamous cell carcinoma.

Dan-Dan Zou, Ya-Zhou Sun, Xin-Jie Li, Wen-Juan Wu, Dan Xu, Yu-Tong He, Jue Qi, Ying Tu, Yang Tang, Yun-Hua Tu and 7 more

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Imaging transcriptomics in basal cell carcinoma: Coupling in vivo tumor morphology with gene expression.JID innovations : skin science from molecules to population health · 2026
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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

17 authors.

Dan-Dan Zou *Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.ORCID 0000-0002-0527-3599
Ya-Zhou Sun *Clinical Big Data Research Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China.
Xin-Jie LiSchool of Medical, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.
Wen-Juan WuDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Dan XuDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Yu-Tong HeSchool of Medical, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.
Jue QiDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Ying TuDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Yang TangDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Yun-Hua TuDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.
Xiao-Li WangDepartment of Dermatology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Xing LiDepartment of Dermatology, People's Hospital of Chuxiong Yi Autonomous Prefecture, Chuxiong, Yunnan, China.
Feng-Yan LuDepartment of Dermatology, Qujing Affiliated Hospital of Kunming Medical University, The First People's Hospital of Qujing, Yunnan, China.
Ling HuangDepartment of Dermatology, First Affiliated Hospital of Dali University, Dali, Yunnan, China.
Heng LongWenshan Zhuang and Miao Autonomous Prefecture Dermatology Clinic, Wenshan Zhuang and Miao Autonomous Prefecture Specialist Hospital of Dermatology, Wenshan, Yunnan, China.
Li HeDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, Yunnan, China.ORCID 0000-0002-3601-3036
Xin LiSchool of Medical, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.ORCID 0000-0001-8328-4894

Funding

China Postdoctoral Science Foundation 2020M683073Guangdong Provincial Key Laboratory of Digestive Cancer Research 2021B1212040006Guangzhou Science Technology Project 201904010007National Natural Science Foundation of China 81872299National Natural Science Foundation of China 82260517Shenzhen Outbound Postdoctoral Research Project SZBH202001Shenzhen Science and Technology Program JCYJ20190807160011600Shenzhen Science and Technology Program JCYJ20210324124808023Yunnan High-level Talents Scientific Research Project 2023-KHRCBZ-B13Yunnan Province Clinical Center for Skin Immune Diseases ZX2019-03-02Yunnan Province Clinical Research Center for Skin Immune Diseases 2019ZF012Yunnan Provincial Health Commisssion (High-level Talents Scientific Research Project) 2023-KHRCBZ-B13Yunnan Science and Technology Leading Talents Project 2017HA010
6 · The paper itself

Abstract

Cutaneous squamous cell carcinoma (cSCC) is the second most frequent of the keratinocyte-derived malignancies with actinic keratosis (AK) as a precancerous lesion. To comprehensively delineate the underlying mechanisms for the whole progression from normal skin to AK to invasive cSCC, we performed single-cell RNA sequencing (scRNA-seq) to acquire the transcriptomes of 138,982 cells from 13 samples of six patients including AK, squamous cell carcinoma in situ (SCCIS), cSCC, and their matched normal tissues, covering comprehensive clinical courses of cSCC. We identified diverse cell types, including important subtypes with different gene expression profiles and functions in major keratinocytes. In SCCIS, we discovered the malignant subtypes of basal cells with differential proliferative and migration potential. Differentially expressed genes (DEGs) analysis screened out multiple key driver genes including transcription factors along AK to cSCC progression. Immunohistochemistry (IHC)/immunofluorescence (IF) experiments and single-cell ATAC sequencing (scATAC-seq) data verified the expression changes of these genes. The functional experiments confirmed the important roles of these genes in regulating cell proliferation, apoptosis, migration, and invasion in cSCC tumor. Furthermore, we comprehensively described the tumor microenvironment (TME) landscape and potential keratinocyte-TME crosstalk in cSCC providing theoretical basis for immunotherapy. Together, our findings provide a valuable resource for deciphering the progression from AK to cSCC and identifying potential targets for anticancer treatment of cSCC.

Indexed as

Carcinoma, Squamous CellKeratosis, ActinicSkin NeoplasmsHumansKeratinocytesTranscriptomeTumor Microenvironmentactinic keratosiscancer biologycutaneous squamous cell carcinomageneticsgenomicshumankeratinocytesingle-cell transcriptometumor microenvironment

Identifiers

PMID38099574
PMCPMC10783873

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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.