Evidence map›Paper›PMID 39925800›Full record

ArticleFrontiers in immunology2025

Case report: A panorama gene profile of ovarian cancer metastasized to axillary lymph node.

Yu Xia, Yu Huang, Zheng Liu, Siyuan Song, Yi Wang, Jing Luo

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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.

Yu XiaSchool of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yu HuangDepartment of Obstetrics and Gynecology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Zheng LiuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Pathology, Houston, TX, United States.
Siyuan SongDepartment of Neuroscience, Baylor College of Medicine, Houston, TX, United States.
Yi WangDepartment of Critical Care Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Jing LuoDepartment of Breast Surgery, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ovarian cancer is among the most lethal gynecologic malignancies, with a high proportion of patients diagnosed at advanced stages, leading to poor survival outcomes. Axillary lymph node metastasis from ovarian cancer is extremely rare and the mechanism is still unclear. Methods: A comprehensive set of clinical and gynecologic oncology assessments were performed, including ultrasound, mammography, MRI, transvaginal ultrasound, and tissue staining. To unravel the carcinogenesis, the next-generation sequencing (NGS) was performed. Results: Conventional examinations and imaging suggested the presence of both occult breast cancer and ovarian cancer. However, immunohistochemical staining confirmed the diagnosis of high-grade serous ovarian carcinoma. Further analysis of NGS identified two novel missense mutations, D326E in BTK (Bruton's tyrosine kinase) at SH2 domain and D251E in EPHA5 (EPH receptor A5), along with other known cancer- associated mutations. These mutations, particularly the novel missense mutations, may lead to metastasis to the axillary lymph nodes and drug resistance. Therefore, based on these findings, the chemotherapy regimen was adjusted accordingly. Conclusion: This is the first report on the panorama gene profile of ovarian cancer metastasis to axillary lymph node and we found two novel mutations (BTK pD326E and EPHA5 pD251E). This study unraveled the potential mechanism of genetic mutation for tumor metabolism, drug resistance, and metastasis.

Indexed as

Lymph NodesOvarian NeoplasmsAxillaFemaleHigh-Throughput Nucleotide SequencingHumansLymphatic MetastasisMiddle AgedMutation, Missenseaxillary lymph nodeBTK mutationdrug resistanceEPHA5 mutationmetabolism related mutationsmetastasisovarian cancerpathway analysis

Identifiers

PMID39925800
PMCPMC11802514

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