Evidence map›Paper›PMID 35326706›Full record

ArticleCancers2022

Long Non-Coding RNA-Based Functional Prediction Reveals Novel Targets in Notch-Upregulated Ovarian Cancer.

Seonhyang Jeong, Sunmi Park, Young Suk Jo, Moon Jung Choi, Gibbeum Lee, Seul Gi Lee, Min Chul Choi, Hyun Park, Won Duk Joo, Sang Geun Jung and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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  4. Comparative analysis between highFrontiers in oncology · 2023
    Article
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 3 institutions in 1 country.

Seonhyang JeongDepartment of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Sunmi ParkDepartment of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.ORCID 0000-0002-2634-8844
Young Suk JoDepartment of Internal Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.ORCID 0000-0001-9926-8389
Moon Jung ChoiDepartment of Surgery, Open NBI Convergence Technology Research Laboratory, Severance Hospital, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Gibbeum LeeDepartment of Surgery, Open NBI Convergence Technology Research Laboratory, Severance Hospital, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.
Seul Gi LeeDepartment of Surgery, Eulji University School of Medicine, 95 Dunsanseo-ro, Seo-gu, Daejeon 35233, Korea.ORCID 0000-0002-6461-535X
Min Chul ChoiDepartment of Gynecological Oncology, Comprehensive Gynecologic Cancer Center, CHA University, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea.ORCID 0000-0003-4509-6731
Hyun ParkDepartment of Gynecological Oncology, Comprehensive Gynecologic Cancer Center, CHA University, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea.
Won Duk JooDepartment of Gynecological Oncology, Comprehensive Gynecologic Cancer Center, CHA University, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea.
Sang Geun JungDepartment of Gynecological Oncology, Comprehensive Gynecologic Cancer Center, CHA University, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea.
Jandee LeeDepartment of Surgery, Open NBI Convergence Technology Research Laboratory, Severance Hospital, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea.ORCID 0000-0003-4090-0049
Yonsei University · KRCHA University · KREulji University · KR

Funding

National Research Foundation of Korea NRF-2018R1A2B6004179National Research Foundation of Korea NRF-2021R1H1A2012035
6 · The paper itself

Abstract

Notch signaling is a druggable target in high-grade serous ovarian cancers; however, its complexity is not clearly understood. Recent revelations of the biological roles of lncRNAs have led to an increased interest in the oncogenic action of lncRNAs in various cancers. In this study, we performed in silico analyses using The Cancer Genome Atlas data to discover novel Notch-related lncRNAs and validated our transcriptome data via NOTCH1/3 silencing in serous ovarian cancer cells. The expression of novel Notch-related lncRNAs was down-regulated by a Notch inhibitor and was upregulated in high-grade serous ovarian cancers, compared to benign or borderline ovarian tumors. Functionally, Notch-related lncRNAs were tightly linked to Notch-related changes in diverse gene expressions. Notably, genes related to DNA repair and spermatogenesis showed specific correlations with Notch-related lncRNAs. Master transcription factors, including EGR1, CTCF, GABPα, and E2F4 might orchestrate the upregulation of Notch-related lncRNAs, along with the associated genes. The discovery of Notch-related lncRNAs significantly contributes to our understanding of the complex crosstalk of Notch signaling with other oncogenic pathways at the transcriptional level.

Indexed as

DNA repairlong non-coding RNANotchovarian cancerspermatogenesis

Identifiers

PMID35326706
PMCPMC8946805
OpenAlexW4220853116

What OpenQuestion holds

Textmetadata
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.