Evidence map›Paper›PMID 29434894›Full record

ArticleOncology letters2018

Down-expression of poly(ADP-ribose) polymerase in p53-regulated pancreatic cancer cells.

Zhenyu Hou, Yunfeng Cui, Huizhi Xing, Xiaoyan Mu

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Colchicine ofCell journal · 2022
    Article
  4. Article
  5. 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 3 institutions in 1 country.

Zhenyu HouThe Second Department of Surgery, Nankai Hospital, Tianjin Medical University, Tianjin 300162, P.R. China.
Yunfeng CuiThe Second Department of Surgery, Nankai Hospital, Tianjin Medical University, Tianjin 300162, P.R. China.
Huizhi XingDepartment of General Surgery, The Affiliated Hospital, Logistics University of CATF, Tianjin 300162, P.R. China.
Xiaoyan MuDepartment of General Surgery, The Affiliated Hospital, Logistics University of CATF, Tianjin 300162, P.R. China.
Logistics University of People's Armed Police Force · CNSecond Hospital of Tianjin Medical University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated whether poly(ADP-ribose) polymerase (PARP) has an effect on p53-regulated pancreatic cancer. The results of the present study demonstrated that the expression of PARP affects proliferation and apoptosis of pancreatic cancer cells. Olaparib was used to suppress the expression level of PARP-1 in PanC-1 cells. Decreased expression of PARP-1 suppressed cell proliferation and induced apoptosis of PanC-1 cells when compared with controls. Furthermore, decreased expression of PARP-1 resulted in decreased levels of pro-caspase-3 expression, increased caspase-3 activity, suppressed B-cell lymphoma 2 (Bcl-2) protein expression and increased p53 protein expression in PanC-1 cells. Subsequently, ataxia telangiectasia mutated (ATM) activity was inhibited alongside down-expression of PARP-1 resulting in significantly decreased cellular viability of PanC-1 cells, increased p53 protein expression, decreased expression of pro-caspase-3, increased caspase-3 activity and suppressed Bcl-2 protein expression, when compared with PARP-1 suppression alone. Overall, the

Indexed as

ataxia telangiectasia mutatedp53pancreatic cancerpoly(ADP-ribose) polymerase

Identifiers

PMID29434894
PMCPMC5774434
OpenAlexW2770944649

What OpenQuestion holds

Textmetadata
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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.