Evidence map›Paper›PMID 38867938›Full record

ArticleiMeta2023

HPVTIMER: A shiny web application for tumor immune estimation in human papillomavirus-associated cancers.

Liying Liu, Yanan Xie, Hong Yang, Anqi Lin, Minjun Dong, Haitao Wang, Cangang Zhang, Zaoqu Liu, Quan Cheng, Jian Zhang and 2 more

Abstract read
In one paragraph

Article in iMeta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 pooled it
–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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Cancer metabolism: bridging tumorigenesis mechanisms to treatment susceptibility.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 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

12 authors.

Liying LiuDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-4989-694X
Yanan XieDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-6883-2781
Hong YangDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-1440-3412
Anqi LinDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-6324-0410
Minjun DongDepartment of Surgical Oncology Sir Run Run Shaw Hospital Affiliated to Zhejiang University, School of Medicine Hang Zhou China.
Haitao WangThoracic Surgery Branch Center for Cancer Research, National Institutes of Health Bethesda Maryland USA.ORCID 0000-0001-6910-974X
Cangang ZhangDepartment of Pathogenic Microbiology and Immunology Xi'an Jiaotong University Xi'an Shaanxi China.ORCID 0000-0001-6443-7023
Zaoqu LiuDepartment of Interventional Radiology The First Affiliated Hospital of Zhengzhou University Zhengzhou Henan China.ORCID 0000-0002-0452-742X
Quan ChengDepartment of Neurosurgery Xiangya Hospital, Central South University Changsha Hunan China.ORCID 0000-0003-2401-5349
Jian ZhangDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.
Shuofeng YuanDepartment of Infectious Disease and Microbiology The University of Hong Kong-Shenzhen Hospital Shenzhen China.
Peng LuoDepartment of Oncology Zhujiang Hospital, Southern Medical University Guangzhou Guangdong China.ORCID 0000-0002-8215-2045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor immune microenvironment (TIME) is closely associated with tumor formation, particularly linked to the human papillomavirus (HPV), and regulates tumor initiation, proliferation, infiltration, and metastasis. With the rise of immunotherapy, an increasing amount of sample data used for TIME exploration is available in databases. However, no currently available web tool enables a comprehensive exploration of the TIME of HPV-associated cancers by leveraging these data. We have developed a web tool called HPV-associated Tumor Immune MicroEnvironment ExploreR (HPVTIMER), which provides a comprehensive analysis platform that integrates over 10,000 genes and 2290 tumor samples from 65 transcriptome data sets across 8 cancer types sourced from the Gene Expression Omnibus (GEO) database. The tool features four built-in analysis modules, namely, the differential expression analysis module, correlation analysis module, immune infiltration analysis module, and pathway analysis module. These modules enable users to perform systematic and vertical analyses. We used several analytical modules in HPVTIMER to briefly explore the role of

Indexed as

biomarkersHPV‐associated cancersHPVTIMERtumor immune microenvironmentweb tools

Identifiers

PMID38867938
PMCPMC10989930

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.