Evidence map›Paper›PMID 39704033›Full record

ArticleBioFactors (Oxford, England)

Comprehensive analysis of the value of angiogenesis and stemness-related genes in the prognosis and immunotherapy of ovarian cancer.

Linsen Zhou, Yu Min, Qiqi Cao, Xun Tan, Yongfen Cui, Jiawei Wang

Abstract read
In one paragraph

Article in BioFactors (Oxford, England). 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
–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

4 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Linsen ZhouDepartment of Gynecology, Affiliated Hospital of Nantong University, Nantong, China.
Yu MinDepartment of Gynecology, Affiliated Hospital of Nantong University, Nantong, China.
Qiqi CaoDepartment of Gynecology, Affiliated Hospital of Nantong University, Nantong, China.
Xun TanDepartment of Gynecology, Affiliated Hospital of Nantong University, Nantong, China.
Yongfen CuiDepartment of Ultrasound, Nantong Second People's Hospital, Nantong, Jiangsu, People's Republic of China.
Jiawei WangDepartment of Gynecology, Affiliated Hospital of Nantong University, Nantong, China.ORCID https://orcid.org/0000-0002-7257-3321

Funding

General Project of Jiangsu Provincial Health Commission H2023090General Project of Nantong Municipal Health Commission MS2023081
6 · The paper itself

Abstract

Tumor angiogenesis and the presence of cancer stem cells (CSCs) are critical characteristics of tumors. Previous research has demonstrated that cancer stem cells promote tumor angiogenesis, while increased vascularity, in turn, fosters the growth of cancer stem cells. This creates a detrimental cycle that contributes to tumor progression. However, studies investigating the angiogenesis and stemness characteristics in ovarian cancer (OV) are limited. In this study, we employed cluster analysis and LASSO methods to assess the significance of angiogenesis- and stemness-related genes in the efficacy of OV immunotherapy. Through multivariate Cox regression analysis and Friends analysis, we identified TNFSF11 as the most significant prognostic gene associated with angiogenesis and stemness. Additionally, molecular docking results confirmed that TNFSF11 exhibits a high affinity for sorafenib and sunitinib. In summary, for the first time, we conducted a comprehensive analysis of the roles of angiogenesis and stemness-related genes in the prognosis and immunotherapy of OV patients, revealing TNFSF11 as a novel therapeutic target.

Indexed as

ImmunotherapyNeoplastic Stem CellsNeovascularization, PathologicOvarian NeoplasmsAngiogenesisFemaleGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationPrognosisangiogenesisimmunotherapyovarian cancerprognosisstemness

Identifiers

PMID39704033
PMCPMC11659921

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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.