Evidence map›Paper›PMID 32821127›Full record

ReviewOncoTargets and therapy2020

Human Endogenous Retroviruses in Clear Cell Renal Cell Carcinoma: Biological Functions and Clinical Values.

Wenjun Cao, Ran Kang, Yining Xiang, Jidong Hong

Open access · goldAbstract readReview
In one paragraph

Review in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Current perspective on the impact of endogenous retroviruses in clear cell renal cell carcinoma.Kidney cancer journal : official journal of the Kidney Cancer Association · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
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

4 authors at 2 institutions in 1 country.

Wenjun CaoDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.ORCID 0000-0002-3852-8359
Ran KangDepartment of Urology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, People's Republic of China.
Yining XiangDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Jidong HongDepartment of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Central South University · CNFirst Affiliated Hospital of University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human endogenous retroviruses (HERVs) form an important part of the human genome, commonly losing their coding ability and exhibiting only rare expression in healthy tissues to promote the stability of the genome. However, overexpression of HERVs has been observed in various malignant tumors, including clear cell renal cell carcinoma (ccRCC), and may be closely correlated with tumorigenesis and progression. HERVs may activate the interferon (IFN) signaling pathway by a viral mimicry process to enhance antitumor immune responses. There is increasing interest in the diagnostic and prognostic value of HERVs in cancers, and they may be candidate targets for tumor immunotherapy. The review will introduce the biological functions of HERVs in ccRCC and their clinical value, especially in regard to immunotherapy.

Indexed as

biomarkerclear cell renal cell carcinomahuman endogenous retrovirusesimmunotherapylong terminal repeat

Identifiers

PMID32821127
PMCPMC7423347
OpenAlexW3047279858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.