Evidence map›Paper›PMID 40953111›Full record

ArticlePLoS genetics2025

Integrative transcriptomic analysis of Korean high-grade serous ovarian cancer.

Hyondeog Kim, Youngwook Kim, Juyeong Park, Dong-Min Shin, Ji Hyun Kim, Madhawa Gunathilake, So Young Kwon, Junyoung Shin, Chong Woo Yoo, Sang-Yoon Park and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2025. 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

12 authors.

Hyondeog KimGraduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-7641-7211
Youngwook KimGraduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-1106-3037
Juyeong ParkDepartment of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Dong-Min ShinTheragen Bio Co., Ltd, Seongnam, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-5723-8154
Ji Hyun KimCenter for Gynecologic Cancer, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.
Madhawa GunathilakeGraduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-8164-1066
So Young KwonDivision of Cancer Data Science, Research Institute, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0009-0008-2355-0984
Junyoung ShinDepartment of Pathology, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.
Chong Woo YooDepartment of Pathology, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.
Sang-Yoon ParkCenter for Gynecologic Cancer, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.
Myong Cheol LimCenter for Gynecologic Cancer, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.
Jeongseon KimGraduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, Republic of Korea.ORCID https://orcid.org/0000-0002-0889-2686

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade serous ovarian cancer (HGSOC) is the predominant subtype of ovarian cancer and is characterized by a high rate of relapse after platinum-based chemotherapy. Herein, we present a comprehensive analysis of 111 Korean HGSOC samples using next-generation sequencing technology to elucidate their transcriptomic landscapes. Our investigation revealed the existence of four distinct transcriptional subtypes of ovarian cancer: immunoreactive, mesenchymal, proliferative, and differentiated, which is comparable to those of TCGA HGSOC transcriptional subgroups. Each subtype exhibited unique correlation networks and their immune cell composition was computationally determined. Notably, the immunoreactive cluster displayed the highest immune score, even in the context of pan solid-cancer types, accompanied by heightened expression of CD4+ and CD8+ T cells (P < 0.05), along with notable associations with neutrophil degranulation and antigen presentation pathways (FDR < 0.01). Conversely, the differentiated cluster demonstrated immunodepleted characteristics, featuring an elevated proportion of overexpressed cancer-germline antigens. We also identified several cancer-germline HGSOC antigens that could be further investigated as potential targets for immunological intervention in cancer.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsTranscriptomeAgedBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansMiddle AgedNeoplasm GradingRepublic of KoreaBiomarkers, Tumor

Identifiers

PMID40953111
PMCPMC12494275

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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.