Evidence map›Paper›PMID 38896289›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2024

Comprehensive analysis of single cell and bulk RNA sequencing reveals the heterogeneity of melanoma tumor microenvironment and predicts the response of immunotherapy.

Yuan Zhang, Cong Zhang, Jing He, Guichuan Lai, Wenlong Li, Haijiao Zeng, Xiaoni Zhong, Biao Xie

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Re-Thinking Pharmacokinetics in Ovarian Cancer: What Do Organoids Add?International journal of molecular sciences · 2026
    Review
  12. Review
  13. Review
  14. Article
  15. TRIM family proteins: dual roles in tumor immunity.Frontiers in cell and developmental biology · 2026
    Review
  16. 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

8 authors.

Yuan ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Cong ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Jing HeDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Guichuan LaiDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Wenlong LiDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Haijiao ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China.
Xiaoni ZhongDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. zhongxiaoni@cqmu.edu.cn.
Biao XieDepartment of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing, 400016, China. kybiao@cqmu.edu.cn.

Funding

Chongqing Maternal and Child Disease Prevention and Control and Public Health Research Center Open Project CQFYJB01001Chongqing Postgraduate Scientific Research and Innovation Project in 2023 CYS23355National Youth Science Foundation Project 82204159Science and Technology Research Program KJQN202300423
6 · The paper itself

Abstract

backgroundTumor microenvironment (TME) heterogeneity is an important factor affecting the treatment response of immune checkpoint inhibitors (ICI). However, the TME heterogeneity of melanoma is still widely characterized.

methodsWe downloaded the single-cell sequencing data sets of two melanoma patients from the GEO database, and used the "Scissor" algorithm and the "BayesPrism" algorithm to comprehensively analyze the characteristics of microenvironment cells based on single-cell and bulk RNA-seq data. The prediction model of immunotherapy response was constructed by machine learning and verified in three cohorts of GEO database.

resultsWe identified seven cell types. In the Scissor

conclusionOur study revealed the heterogeneity of melanoma TME and found a new predictive biomarker, which provided theoretical support and new insights for precise immunotherapy of melanoma patients.

Indexed as

ImmunotherapyMelanomaSequence Analysis, RNASingle-Cell AnalysisTumor MicroenvironmentB-LymphocytesHumansImmune Checkpoint InhibitorsMachine LearningPrognosisSkin NeoplasmsImmune Checkpoint InhibitorsDeconvolutionImmune checkpoint inhibitorPredicting biomarkersResponseTumor microenvironment

Identifiers

PMID38896289

What OpenQuestion holds

Textmetadata
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.