Evidence map›Paper›PMID 28178664›Full record

ArticleOncotarget2017

Identification of distinct molecular subtypes of uterine carcinosarcoma.

Yang An, Haojie Wang, Jingyao Jie, Yitai Tang, Weijuan Zhang, Shaoping Ji, Xiangqian Guo

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 9 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

7 authors at 1 institution in 2 countries.

Yang AnDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Haojie WangDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Jingyao JieDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Yitai TangDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Weijuan ZhangDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Shaoping JiDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Xiangqian GuoDepartment of Biochemistry and Molecular Biology, Medical School, Henan University, Kaifeng 475004, China.
Henan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine carcinosarcoma (UCS) is a rare but lethal neoplasm with high metastasis and recurrence rate, and to date, no molecular classification of UCS has been defined to achieve targeted therapies. In this study, we identified two distinct molecular subtypes of UCS with distinct gene expression patterns and clinicopathologic characteristics. Subtype I UCS recapitulates low-grade UCS, in contrast subtype II UCS represents high-grade UCS with higher tumor invasion rate and tumor weight. Interestingly, subtype I UCS is characterized by cell adhesion and apoptosis pathways, whereas genes over-expressed in subtype II UCS are more involved in myogenesis/muscle development. We also proposed certain potential subtype specific therapeutic targets, such as SYK (spleen tyrosine kinase) for subtype I and cell-cycle proteins for subtype II. Our findings provide a better recognition of UCS molecular subtypes and subtype specific oncogenesis mechanisms, and can help develop more specific targeted treatment options for these tumors.

Indexed as

AgedAged, 80 and overCarcinosarcomaFemaleHumansMiddle AgedTranscriptomeUterine Neoplasmsgene expression patternmolecular signaturemolecular subtypesubtype-specific treatmentuterine carcinosarcoma

Identifiers

PMID28178664
PMCPMC5362530
OpenAlexW2583134829

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.