Evidence map›Paper›PMID 25629696›Full record

ArticleCancer biotherapy & radiopharmaceuticals2015

Tumor protein D52-like 2 contributes to proliferation of breast cancer cells.

Mei Yang, Xueyao Wang, Jiaoyuan Jia, Hongwen Gao, Peng Chen, Xianliang Sha, Shan Wu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Cancer biotherapy & radiopharmaceuticals, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.6field-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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Knockdown of lncRNAOncoTargets and therapy · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mei Yang1 The Key Laboratory of Pathobiology, Ministry of Education, Department of Pathology, College of Basic Medical Sciences, Norman Bethune Health Science Center of Jilin University , Changchun, China .
Xueyao Wang
Jiaoyuan Jia
Hongwen Gao
Peng Chen
Xianliang Sha
Shan Wu
Second Affiliated Hospital of Jilin University · CNFirst Bethune Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a major cause of cancer-related death among women. Tumor protein D52-like 2 (TPD52L2) is one member of the TPD52 family, which has been shown to function in mediating cell proliferation, apoptosis, and vehicle trafficking. TPD52 was originally identified in human breast carcinoma. In this study, the authors found that TPD52L2 is extensively expressed in multiple human breast cancer cell lines. To elucidate the functional role of TPD52L2 in breast cancer, the authors employed lentivirus-mediated short hairpin RNA (shRNA) to knock down TPD52L2 in one breast cancer cell line, ZR-75-30, which showed high TPD52L2 expression. The shRNA-mediated TPD52L2 knockdown inhibited the proliferation and colony formation in ZR-75-30 cells, as determined by MTT and colony formation assays. Knockdown of TPD52L2 led to an accumulation of cells in the G0/G1 phase of the cell cycle. Furthermore, knockdown of TPD52L2 promoted GSK3β phosphorylation in ZR-75-30 cells. This investigation indicates that TPD52L2 plays an essential role in the growth of breast cancer cells, which may contribute to provide gene therapy for breast cancer treatment.

Indexed as

Breast NeoplasmsCell Line, TumorCell ProliferationFemaleGene Knockdown TechniquesHEK293 CellsHumansMCF-7 CellsNeoplasm ProteinsRNA, Small InterferingNeoplasm ProteinsRNA, Small InterferingTPD52L2 protein, humanbreast cancerknockdownlentivirusTPD52L2

Identifiers

PMID25629696
PMCPMC5697702
OpenAlexW2769347285

What OpenQuestion holds

Textmetadata
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.