Evidence map›Paper›PMID 33403023›Full record

ArticleJournal of Cancer2021

The oncogenic and prognostic role of PDK1 in the progression and metastasis of ovarian cancer.

Shasha Yao, Wenwen Shang, Lei Huang, Rui Xu, Ming Wu, Fang Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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  13. Cytotoxic effects of Phenformin on ovarian cancer cells: expression of HIF-1α and PDK1 in the hypoxic microenvironment.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
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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

6 authors at 1 institution in 1 country.

Shasha YaoDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Wenwen ShangDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Lei HuangDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Rui XuDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Ming WuDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Fang WangDepartment of Laboratory Medicine, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Nanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) is the most lethal of gynecological tumors in women. Tumor metabolism has become a new opportunity in the treatment of tumors. Pyruvate dehydrogenase kinase 1 (PDK1), as a key regulatory enzyme implicated in metabolic reprogramming of tumors, abnormally high expressed in various tumors and involved in the regulation of tumor cell biological behavior. However, the role of PDK1 in the occurrence and development of ovarian cancer remains unclear. Our team identified the expression of PDK1 in ovarian cancer cell lines and tissues through RT-PCR and immunohistochemical staining and evaluated the correlation of PDK1 expression with clinicopathologic features of patients and survival analyses. We used a variety of

Indexed as

biological behaviorovarian cancerprognostic biomarkerPyruvate dehydrogenase kinase 1tumor metabolic

Identifiers

PMID33403023
PMCPMC7778543
OpenAlexW3113226148

What OpenQuestion holds

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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.