Evidence map›Paper›PMID 41930179›Full record

ArticleOncology research2026

Multi-Scale Transcriptomic Sequencing Data Analysis Reveals

Hui Zha, Chao Li, Jia Chen, Hao Bo, Zhaolan Hu, Zailong Qin, Jie Guo, Junbin Yuan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncology research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hui ZhaDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Chao LiNHC Key Laboratory of Human Stem Cell and Reproductive Engineering, Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China.
Jia ChenDepartment of Plastic Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Hao BoNHC Key Laboratory of Human Stem Cell and Reproductive Engineering, Institute of Reproductive and Stem Cell Engineering, Central South University, Changsha, China.
Zhaolan HuDepartment of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Zailong QinGuangxi Key Laboratory of Reproductive Health and Birth Defect Prevention, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Jie GuoNational Institute of Drug Clinical Trial, Xiangya Hospital, Central South University, Changsha, China.
Junbin YuanDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Long non-coding RNAs have been found to play a pivotal role in breast cancer, yet the majority of these lncRNAs remain to be thoroughly investigated. This study aimed to explore the role of differentially expressed long non-coding RNAs (lncRNAs) in breast cancer stemness and drug sensitivity. Methods: Database mining was performed to evaluate the expression of Results: Conclusion: Our findings suggest that spatially expressed

Indexed as

Breast NeoplasmsRNA, Long NoncodingTranscriptomeCell Line, TumorCell ProliferationComputer SimulationDisease ProgressionDrug Resistance, NeoplasmFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansProto-Oncogene Proteins c-aktProto-Oncogene Proteins c-aktRNA, Long NoncodingBreast cancercell stemnessdrug sensitivityLINC00467single cell sequencing

Identifiers

PMID41930179
PMCPMC13040285

What OpenQuestion holds

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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.