Evidence map›Paper›PMID 33500663›Full record

ArticleCancer management and research2021

GSG2 Promotes Development and Predicts Poor Prognosis of Ovarian Cancer.

Yan Huang, Yixuan Liu, Keyu Zhu, Xiaolu Ma, Renquan Lu, Meiqin Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

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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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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 2 institutions in 1 country.

Yan Huang *Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China.
Yixuan Liu *Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Keyu Zhu *Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Xiaolu MaDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Renquan LuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.
Meiqin ZhangDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People's Republic of China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOvarian cancer is one of the most common malignant tumors in gynecology, whose treatment was seriously limited by the unclear understanding of molecular mechanism in disease development. GSG2, also known as Haspin, is a novel molecule found to be involved in human cancers. MATERIALS AND

methodsIn this study, immunohistochemical analysis was used to detect GSG2 expression in ovarian cancer tissues and corresponding normal tissues. Statistical analysis was performed to construct relationship between GSG2 and tumor characteristics as well as prognosis. Ovarian cell model with GSG2 knockdown was constructed through lentivirus-mediated transfection of shRNA, which was used in MTT assay, colony formation assay and flow cytometry for investigating the role of GSG2 in ovarian cancer. A human apoptosis antibody array was used to identify potential downstream apoptosis-related proteins of GSG2.

resultsThe results demonstrated the upregulation of GSG2 in ovarian cancer, whose expression was positively related to tumor grade and AJCC stage, and negatively correlated with patients' prognosis. Moreover, knockdown of GSG2 inhibited ovarian cancer development through suppressing cell growth and inducing cell apoptosis. Further exploration revealed that a variety of apoptosis-related and PI3K signaling pathway-related proteins may be implicated in the GSG2 induced regulation of ovarian cancer.

conclusionIn summary, it was illustrated that GSG2 was involved in the development of ovarian cancer, which has the potential to become therapeutic target and prognostic indicator in ovarian cancer treatment.

Indexed as

cell apoptosiscell proliferationGSG2ovarian cancerprognosis

Identifiers

PMID33500663
PMCPMC7826093
OpenAlexW3121675354

What OpenQuestion holds

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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.