Evidence map›Paper›PMID 30359167›Full record

ArticleCancer biology & therapy2019

Molecular classification and subtype-specific drug sensitivity research of uterine carcinosarcoma under multi-omics framework.

Xiaofan Lu, Liya Zhang, Huiling Zhao, Chen Chen, Yaoyan Wang, Shengjie Liu, Xiao Lin, Yue Wang, Qianyuan Zhang, Tao Lu and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
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  7. Review
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

11 authors at 1 institution in 1 country.

Xiaofan Lua Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Liya Zhanga Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Huiling Zhaoa Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Chen Chena Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Yaoyan Wanga Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Shengjie Liua Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Xiao Lina Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Yue Wanga Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Qianyuan Zhanga Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.
Tao Lub State Key Laboratory of Natural Medicine , China Pharmaceutical University , Nanjing , P.R. China.
Fangrong Yana Research Center of Biostatistics and Computational Pharmacy , China Pharmaceutical University , Nanjing , P.R.China.ORCID 0000-0003-3347-5021
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUterine carcinosarcomas (UCSs) are aggressive rare tumors recognized as malignancies composed of metaplastic transformation of epithelial elements. Nay no comprehensive molecular classification has been applied to UCS to guide targeted therapies so far, which motivated us to subtyping UCS by aggregating multiple genomic platform data.

methodsWe classified UCS into three distinct subtypes with different clinicopathologic and molecular characterization by using similarity network fusion under consensus clustering framework (SNFCC

resultsFunctional enrichment analysis of the subtype-specific differential expression genes endowed three subtypes new designation: Myo, Cell and Hormone. Mutations in PTEN, PIK3CA, ARID1A and PPP2R1A altered across subtypes. The epithelial-to-mesenchymal transition (EMT) score distinguished Myo from another two subtypes whereby a high EMT scores prevalently existed and each case was judged as M (mesenchymal) phenotype in Myo subtype. Through the drug sensitivity analysis, we found that the response to - tinib drugs is quite different across subtypes according to expression level. Additionally, different subtypes' response to broad-spectrum anti-cancer drug paclitaxel may be also different.

conclusionsIn this study, we identified three distinct molecular subtypes of UCS with different features. Subtypes were also revealed to have different sensitivity to existing chemotherapy drugs, which may support in-depth study of subtype-specific dosing regimens.

Indexed as

CarcinosarcomaFemaleGenomicsHumansUterine Neoplasmsdrug sensitivitygene mutationsmolecular classificationsubtype-specific biomarkersUterine carcinosarcoma

Identifiers

PMID30359167
PMCPMC6343709
OpenAlexW2898173736

What OpenQuestion holds

Textmetadata
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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.