Evidence map›Paper›PMID 24997551›Full record

ReviewJournal of cancer research and clinical oncology2015

Oncogenes associated with drug resistance in ovarian cancer.

Xia Liu, Yutao Gao, Yi Lu, Jian Zhang, Li Li, Fuqiang Yin

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 46 citations in OpenAlex.

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  17. Galectin-3 induces ovarian cancer cell survival and chemoresistance via TLR4 signaling activation.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
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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 3 institutions in 1 country.

Xia LiuCenter for Translational Medicine, Guangxi Medical University, 22 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
Yutao Gao
Yi Lu
Jian Zhang
Li Li
Fuqiang Yin
Guangxi Medical University · CNBeijing Chao-Yang Hospital · CNTumor Hospital of Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOncogenes play pivotal roles in the development of cancer, and disturbances in their expression have been implicated in drug resistance. However, an overview of the contribution of oncogenes to drug resistance in ovarian cancer has not previously been reported. This study aimed to review the drug resistance-related oncogenes in ovarian cancer and precisely determine their relationships.

methodsThe oncogenes associated with drug resistance in ovarian cancer from available papers were summarized, and a comprehensive bioinformatics analysis including pathway enrichment, biological processes annotation, protein/gene interaction and microRNA-mRNA interaction was performed.

resultsTotal of 25 oncogenes contributing to drug resistance in ovarian cancer was integrated and further analyzed. An oncogene-mediated drug resistance pathway that explains the associations of 21 of these oncogenes in drug resistance was drafted on the basis of previously published papers. The downstream location of v-akt murine thymoma viral oncogene (AKT) and B-cell CLL/lymphoma 2-associated X protein (BAX) with respect to many other oncogenes was determined, indicating that the two genes may play a central role, and the AKT- and BAX-mediated signaling are the main pathways accounting for the involvement of oncogenes in drug resistance in ovarian cancer. Besides, the annotation of biological process indicated that the apoptosis (cell death) and phosphorylation (phosphate metabolic process) might be the two major biological routes through which oncogenes contribute to drug resistance in ovarian cancer. In addition, on the basis of the comprehensive analysis of microRNA-mRNA interactions, 11 microRNAs were identified to be targeted at least 7 of the 25 oncogenes, indicating that those microRNAs could be an important regulator of the 25 oncogenes. Collectively, by integrating and further analyzing the available data on these oncogenes, this study contributes to improving our understanding of the mechanisms by which their expression leads to drug resistance in this ovarian cancer.

Indexed as

Antineoplastic AgentsDrug Resistance, NeoplasmFemaleHumansOncogenesOvarian NeoplasmsPrognosisAntineoplastic Agents

Identifiers

PMID24997551
PMCPMC11824102
OpenAlexW2017540808

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.