Evidence map›Paper›PMID 39419971›Full record

ArticleNature communications2024

The integrated molecular and histological analysis defines subtypes of esophageal squamous cell carcinoma.

Guozhong Jiang, Zhizhong Wang, Zhenguo Cheng, Weiwei Wang, Shuangshuang Lu, Zifang Zhang, Chinedu A Anene, Faraz Khan, Yue Chen, Emma Bailey and 20 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Article
  7. Article
  8. Esophageal cancer: from pathogenesis to precision therapies.Signal transduction and targeted therapy · 2026
    Review
  9. Review
  10. The consensus molecular subtypes of esophageal squamous cell carcinoma.Signal transduction and targeted therapy · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Genetic variants ofFrontiers in immunology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

30 authors.

Guozhong Jiang *Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Zhizhong Wang *Department of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, People's Republic of China.ORCID 0000-0002-2967-811X
Zhenguo Cheng *National Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Weiwei Wang *Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Shuangshuang LuNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Zifang ZhangNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Chinedu A AneneCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom.ORCID 0000-0002-3591-3358
Faraz KhanCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom.
Yue ChenCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom.
Emma BaileyCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom.
Huisha XuNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Yunshu DongCAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People's Republic of China.
Peinan ChenDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, People's Republic of China.
Zhongxian ZhangNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Dongling GaoDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Zhimin WangNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Jinxin MiaoNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Xia XueNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.ORCID 0000-0002-5783-1281
Pengju WangNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Lirong ZhangDepartment of Pharmacology, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450001, People's Republic of China.
Rathi GangeswaranCentre for Cancer Biomarkers & Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Peng LiuCentre for Cancer Biomarkers & Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.
Louisa S Chard DunmallCentre for Cancer Biomarkers & Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, UK.ORCID 0000-0003-2380-0900
Junkuo LiDepartment of Molecular Pathology, Anyang Cancer Hospital, Anyang City, 455000, Henan Province, People's Republic of China.
Yongjun GuoDepartment of Molecular Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 450008, People's Republic of China.ORCID 0000-0003-1641-2969
Jianzeng DongDepartment of Cardiology, Centre for Cardiovascular Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.ORCID 0000-0001-7299-7805
Nicholas R LemoineNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Wencai LiDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China. liwencai@zzu.edu.cn.
Jun WangCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6BQ, United Kingdom. j.a.wang@qmul.ac.uk.ORCID 0000-0003-2509-9599
Yaohe WangNational Centre for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, 450052, People's Republic of China. Yaohe.wang@qmul.ac.uk.ORCID 0000-0003-2367-6313

Funding

RCUK | Medical Research Council (MRC) MR/V006053/1
6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is highly heterogeneous. Our understanding of full molecular and immune landscape of ESCC remains limited, hindering the development of personalised therapeutic strategies. To address this, we perform genomic-transcriptomic characterizations and AI-aided histopathological image analysis of 120 Chinese ESCC patients. Here we show that ESCC can be categorized into differentiated, metabolic, immunogenic and stemness subtypes based on bulk and single-cell RNA-seq, each exhibiting specific molecular and histopathological features based on an amalgamated deep-learning model. The stemness subgroup with signature genes, such as WFDC2, SFRP1, LGR6 and VWA2, has the poorest prognosis and is associated with downregulated immune activities, a high frequency of EP300 mutation/activation, functional mutation enrichment in Wnt signalling and the highest level of intratumoural heterogeneity. The immune profiling by transcriptomics and immunohistochemistry reveals ESCC cells overexpress natural killer cell markers XCL1 and CD160 as immune evasion. Strikingly, XCL1 expression also affects the sensitivity of ESCC cells to common chemotherapy drugs. This study opens avenues for ESCC treatment and provides a valuable public resource to better understand ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression Regulation, NeoplasticAgedAntigens, CDBiomarkers, TumorCell Line, TumorE1A-Associated p300 ProteinFemaleGene Expression ProfilingHumansMaleMiddle AgedMutationPrognosisTranscriptomeAntigens, CDBiomarkers, TumorE1A-Associated p300 Protein

Identifiers

PMID39419971
PMCPMC11487165

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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.