Evidence map›Paper›PMID 31871500›Full record

ArticleDisease markers2019

Identification of Long Noncoding RNA APOC1P1 as an Oncogene in Clear Cell Renal Cell Carcinoma.

Chong Sun, Zhonghan Zhou, Haoqing Shi, Fangzhou Li, Guiming Zhang

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Expression Level of lncRNA CYTOR in Iranian Cervical Cancer Patients.Reports of biochemistry & molecular biology · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

5 authors at 1 institution in 1 country.

Chong SunDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0001-8068-5107
Zhonghan ZhouDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-7927-1393
Haoqing ShiDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0003-0582-9435
Fangzhou LiDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-4999-4662
Guiming ZhangDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-5856-5325
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is one of the most common genitourinary cancers worldwide. Previous evidence shows that long noncoding RNA (LncRNA) APOC1P1 plays an important role in cancer development. However, the role of LncRNA APOC1P1 in ccRCC remains to be explored. LncRNA APOC1P1 expression in 283 ccRCC tissues and 30 normal kidney tissues was detected by quantitative real-time PCR, and its prognostic association with ccRCC was assessed by the Kaplan-Meier method and Cox proportional hazard model. Cell proliferation, apoptosis, migration, and invasion were determined in RCC cells with downregulation of LncRNA APOC1P1 expression. LncRNA APOC1P1 expression was increased in ccRCC tissues compared with normal kidney tissues (

Indexed as

Up-RegulationBiomarkers, TumorCarcinoma, Renal CellCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansKidney NeoplasmsMaleNeoplasm GradingPrognosisRNA, Long NoncodingSurvival AnalysisBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID31871500
PMCPMC6913315
OpenAlexW2993316163

What OpenQuestion 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 OpenQuestion graph.