Evidence map›Paper›PMID 34581026›Full record

ArticleCancer medicine2021

Integrated analysis identifies a novel lncRNA prognostic signature associated with aerobic glycolysis and hub pathways in breast cancer.

Zheng Li, Juan Zheng, Yang Feng, Yaming Li, Yiran Liang, Ying Liu, Xiaolong Wang, Qifeng Yang

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 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

8 authors at 2 institutions in 1 country.

Zheng LiDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0002-9828-5475
Juan ZhengDepartment of Ultrasound, Qilu Children's Hospital of Shandong University, Jinan, Shandong, China.
Yang FengDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yaming LiDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Yiran LiangDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Ying LiuDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Xiaolong WangDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Qifeng YangDepartment of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.ORCID 0000-0003-0576-8513
Shandong University · CNQilu Hospital of Shandong University · CN

Funding

Clinical Research Center of Shandong University 2020SDUCRCA015National High Level Talents W01020103National Key Research and Development Program 2018YFC0114705National Key Research and Development Program 2020YFA0712400National Natural Science Foundation of China 81874119National Natural Science Foundation of China 82072912Qilu Hospital Clinical New Technology Developing Foundation 2018-7Qilu Hospital Clinical New Technology Developing Foundation 2019-3Special Foundation for Taishan Scholars ts20190971
6 · The paper itself

Abstract

Long noncoding RNAs (lncRNAs) play a crucial role in cancer aerobic glycolysis. However, glycolysis-related lncRNAs are still underexplored in breast cancer. In this study, we identified the five most glycolysis-related lncRNAs in breast cancer to construct a prognostic signature, which could distinguish between patients with unfavorable and favorable prognoses. To investigate the role of signature lncRNAs in breast cancer, we profiled their expression levels in breast cancer progression cell line model. Real-time PCR revealed that the five lncRNAs could contribute to breast cancer initiation or progression. Furthermore, we observed that the levels of four lncRNAs expression had a significant trend of gradient upregulation with the addition of glycolysis inhibitor in breast cancer cells. Afterward, random forest and logistic regression were conducted to assess the model's performance in stratifying glycolysis status. Finally, a nomogram including the lncRNA signature and clinical features was developed, and its efficacy in predicting the survival time and clinical utility was evaluated using a calibration curve, concordance index, and decision curve analysis. In this study, gene set enrichment analysis showed that the mTOR pathway, a central pathway in tumor initiation and progression, was significantly enriched in the high-risk group. In addition, gene set variation analysis was performed to validate our findings in two independent datasets. Subsequent weighted gene co-expression network analysis, followed by enrichment analysis, indicated that downstream cell growth-related signaling was strikingly activated in the high-risk group, and may directly promote tumor progression and escalate mortality risk in patients with high-risk scores. Overall, our findings may provide novel insight into lncRNA-related metabolic regulation, and help to develop promising prognostic indicators and therapeutic targets for breast cancer patients.

Indexed as

GlycolysisBiomarkers, TumorBreast NeoplasmsCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateNomogramsPrognosisRNA, Long NoncodingSignal TransductionTOR Serine-Threonine KinasesBiomarkers, TumorRNA, Long NoncodingTOR Serine-Threonine Kinasesbioinformaticsbiomarkersbreast cancerlncRNAPrognosis

Identifiers

PMID34581026
PMCPMC8559482
OpenAlexW3202109374

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.