Evidence map›Paper›PMID 34268074›Full record

ArticleGland surgery2021

Predictive value of lncRNA LOC100505851 in breast cancer in the neoadjuvant setting.

Rui Sha, Ziping Wu, Yaqian Xu, Xiaonan Sheng, Yaohui Wang, Chenwei Yuan, Jing Peng, Shuguang Xu, Liheng Zhou, Yanping Lin and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Gland surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 3 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

12 authors at 2 institutions in 1 country.

Rui ShaDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ziping WuDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yaqian XuDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaonan ShengDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yaohui WangDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chenwei YuanDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jing PengDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shuguang XuDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Liheng ZhouDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yanping LinDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wenjin YinDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jinsong LuDepartment of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Renji Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expression and function of long noncoding RNA (lncRNA) LOC100505851 in breast cancer are still unknown. We aimed to examine the expression of lncRNA LOC100505851 in breast cancer and adjacent tissues and preliminarily explore its predictive value and function in breast cancer patients receiving neoadjuvant therapy (NAT).

methodsThe expression of lncRNA LOC100505851 was tested by qRT-PCR. The correlation between LOC100505851 expression and clinicopathological factors as well as pathological complete response (pCR) was analyzed by chi-squared test and logistic regression, respectively. The online database Kaplan-Meier plotter (KM plotter) was used to compare relapse-free survival (RFS) and overall survival (OS) between groups with different LOC100505851 expression levels. Subcellular localization of LOC100505851 was determined by nuclear and cytoplasmic extraction. A bioinformatics tool was used to predict RNA-binding proteins (RBPs) and interaction among these proteins.

resultsLncRNA LOC100505851 was significantly expressed at lower levels in cancer tissues than in adjacent tissues (P<0.001). Its expression was related to human epidermal growth factor receptor 2 (HER2) expression (P=0.003) and molecular subtype based on immunohistochemistry (P=0.001). Patients with high LOC100505851 expression were prone to pCR (OR =3.077, 95% CI: 1.042-9.086, P=0.042) and better RFS (HR =0.68, 95% CI: 0.59-0.79, P<0.001) and OS (HR =0.60, 95% CI: 0.43-0.84, P=0.0026) according to the online database KM plotter. The subcellular localization of LOC100505851 was in the nucleus, and its binding proteins were predicted by bioinformatics tools.

conclusionsLncRNA LOC100505851 was located mainly in the nucleus and was significantly downregulated in breast cancers. Its expression was related to a higher pCR rate and better RFS and OS, indicating its potential value as a novel predictive and prognostic biomarker in breast cancer.

Indexed as

breast cancerLncRNA LOC100505851neoadjuvant chemotherapy

Identifiers

PMID34268074
PMCPMC8258879
OpenAlexW3168787076

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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.