Evidence map›Paper›PMID 31191314›Full record

ArticleFrontiers in pharmacology2019

LncRNA Profile Study Reveals a Three-LncRNA Signature Associated With the Pathological Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer.

Ying Zeng, Guo Wang, Cheng-Fang Zhou, Hai-Bo Zhang, Hong Sun, Wei Zhang, Hong-Hao Zhou, Rong Liu, Yuan-Shan Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
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  4. Long Noncoding RNAs in Taxane Resistance of Breast Cancer.International journal of molecular sciences · 2023
    Review
  5. Interplay between LncRNAs and microRNAs in Breast Cancer.International journal of molecular sciences · 2023
    Review
  6. Metformin and long non-coding RNAs in breast cancer.Journal of translational medicine · 2023
    Review
  7. Review
  8. Article
  9. Review
  10. Targeting non-coding RNAs to overcome cancer therapy resistance.Signal transduction and targeted therapy · 2022
    Review
  11. Article
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  13. Article
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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

9 authors at 5 institutions in 2 countries.

Ying ZengDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Guo WangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Cheng-Fang ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Hai-Bo ZhangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Hong SunDepartment of Pharmacy, Fujian Provincial Hospital, Provincial Clinical College, Fujian Medical University, Fuzhou, China.
Wei ZhangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Hong-Hao ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Rong LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China.
Yuan-Shan ZhuDepartment of Medicine, Weill Cornell Medical College, New York, NY, United States.
Central South University · CNXiangya Hospital Central South University · CNCornell University · USFujian Provincial Hospital · CNPharmacoGenetics (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study is to develop an effective but concise long non-coding RNA (lncRNA) expression signature that can predict response to neoadjuvant chemotherapy for breast cancer (BC) patients.

methodslncRNA expression profiling in 1102 BC patients from Gene Expression Omnibus datasets was analyzed using lncRNA-mining approach. The association between lncRNA signature and pathological complete response (pCR) was analyzed using logistic regression model in the training set (GSE25066,

resultsThree lncRNAs (AK291479, U79293, and BC032585) have been identified to be significantly associated with pCR in the training dataset (Bonferroni

conclusionThese results suggest that lncRNAs such as BC032585 might be involved in chemotherapeutic response in breast cancer patients, and the three-lncRNA signature identified in the present study may serve as a useful biomarker for the selection of responsive breast cancer patients in neoadjuvant chemotherapy.

Indexed as

biomarkerbreast cancerlong non-coding RNAPAM50 subtypepathological complete response

Identifiers

PMID31191314
PMCPMC6546925
OpenAlexW2946983888

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.