Evidence map›Paper›PMID 31611966›Full record

ArticleOncology letters2019

Long non-coding RNA transcribed from pseudogene PPIAP43 is associated with radiation sensitivity of small cell lung cancer cells.

Shilong Wang, Jinming Yu

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Oncology letters, 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Cancer, Retrogenes, and Evolution.Life (Basel, Switzerland) · 2021
    Review
  4. Pseudogenes as Biomarkers and Therapeutic Targets in Human Cancers.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Shilong WangCheeloo College of Medicine, Shandong University, Jinan, Shandong 250012, P.R. China.
Jinming YuDepartment of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong 250117, P.R. China.
Shandong Tumor Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small cell lung cancer (SCLC) is a highly lethal disease. Although radiation therapy is effective for the majority of patients with SCLC, patient sensitivity to radiation varies. The lack of biomarkers impedes advances in targeting radiation-sensitive patients. In this study, the changes in transcription patterns of SCLC cell lines were evaluated with or without 2 Gy gamma radiation. The results demonstrated that peptidyl-prolyl cis-trans isomerase A pseudogene 43 (PPIAP43) transcription was increased 2-fold in cells irradiated with 2 Gy gamma radiation compared with unirradiated cells in pre-reported radio-sensitive sensitive cell lines H69, H128, H146, H209 and H187. These cells shared 259 upregulated and 96 downregulated RNA transcripts following radiation. Pre-reported less sensitive cell lines H526, D53, D114 and D153 in which PPIAP43 was not upregulated 2-fold following irradiation with 2 Gy gamma radiation compared with unirradiated cells, shared 3 upregulated and 9 downregulated RNA transcripts. The RNA transcript of PPIAP43 was aligned with the mRNA of peptidyl-prolyl cis-trans isomerase A (PPIA) at 2 sections (3,732 to 3,917 and 5,327 to 5,657 of the PPIA gene) and the sequences were shown to be 96 and 94% similar, respectively. Therefore, PPIAP43 may act as a sponge for microRNAs which bind with the RNA of PPIA. Therefore, PPIAP43 RNA transcription may serve as a potential biomarker of radio-sensitivity of SCLC.

Indexed as

Cyclophilin Apotential biomarkerPPAP43radiation sensitivitysmall cell lung cancer cell lines

Identifiers

PMID31611966
PMCPMC6781671
OpenAlexW3033881911

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.