Evidence map›Paper›PMID 31578594›Full record

ArticleOncology reports2019

HHLA2 is a novel prognostic predictor and potential therapeutic target in malignant glioma.

Yangzhi Qi, Gang Deng, Pengfei Xu, Huikai Zhang, Fanen Yuan, Rongxin Geng, Hongxiang Jiang, Baohui Liu, Qianxue Chen

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yangzhi QiDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Gang DengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Pengfei XuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Huikai ZhangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Fanen YuanDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Rongxin GengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Hongxiang JiangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Baohui LiuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Qianxue ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, P.R. China.
Renmin Hospital of Wuhan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common and aggressive tumor type of the central nervous system and is associated with poor prognosis. To date, novel emerging immunotherapies have significantly improved outcomes for patients with various cancer types. Human endogenous retrovirus‑H long terminal repeat‑associating protein 2 (HHLA2), a newly discovered immune checkpoint molecule, has demonstrated its potential as a novel therapeutic target. Therefore, the present study aimed to investigate the clinical prognostic value of HHLA2 in gliomas and its mechanistic role. A systematic review of datasets from The Cancer Genome Atlas was performed. The RNA‑seq data of a total of 669 cases were analyzed and the biological function of HHLA2 was predicted by Gene Ontology (GO) and pathway enrichment analysis. Immunohistochemistry labelling images for HHLA2 was obtained from the Human Protein Atlas. xCell was used to comprehensively analyze the model of tumor‑infiltrating immune cell in glioma. The Cox proportional hazards regression model was used to predict outcomes for glioma patients. The results revealed that the expression levels of HHLA2 were significantly lower in high‑grade glioma, as well as glioma with wild‑type isocitrate dehydrogenase, no deletion of 1p/19q and telomerase reverse transcriptase promoter mutation. Receiver operating characteristic analysis revealed that HHLA2 was a predictor of the neural subtype. The tumor‑infiltrating immune cell model indicated that HHLA2 was negatively associated with tumor‑associated macrophages. GO analysis and pathway enrichment analysis revealed that HHLA2‑associated genes were functionally involved in inhibition of neoplasia‑associated processes. HHLA2 was significantly negatively correlated with certain genes, including interleukin‑10, transforming growth factor‑β, vascular endothelial growth factor and δ‑like canonical Notch ligand 4, and other immune checkpoint molecules, including programmed cell death 1, lymphocyte activating 3 and CD276. Survival analysis indicated that high expression of HHLA2 predicted a favorable prognosis. In conclusion, the present study revealed that upregulation of HHLA2 is significantly associated with a favorable outcome for patients with glioma. Targeting HHLA2 as an immune stimulator may become a valuable approach for the treatment of glioma in clinical practice.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBrain NeoplasmsCase-Control StudiesFemaleFollow-Up StudiesGliomaHumansImmunoglobulinsMaleMiddle AgedPrognosisSurvival RateBiomarkers, TumorHHLA2 protein, humanImmunoglobulins

Identifiers

PMID31578594
PMCPMC6826309
OpenAlexW2978711019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.