Evidence map›Paper›PMID 39524463›Full record

ReviewJournal of immunotherapy and precision oncology2024

Advanced Granulosa Cell Tumors of the Ovary: A Review with a Focus on Current and Novel Therapeutic Approaches.

Mohamad A Salkeni, Sarah Shin, Naoko Takebe, Sally Stevens, Alice Chen

Abstract readReview
In one paragraph

Review in Journal of immunotherapy and precision oncology, 2024. 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. Review
  3. A Phase I Study of Nilotinib in Combination with Paclitaxel in Patients with Advanced Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  4. 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

5 authors.

Mohamad A SalkeniDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-7222-1967
Sarah ShinDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.
Naoko TakebeDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.
Sally StevensOvarian Cancer Research Alliance (OCRA), Mechanicsville, VA, USA.
Alice ChenDivision of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Granulosa cell tumor (GCT) is the most common nonepithelial ovarian malignancy. Still, it is considered rare, with a paucity of high-level evidence guiding management, particularly in the metastatic setting. Advancements in molecular pathology allowed the identification of several targetable mutations that play an important role in GCT pathogenesis. Although current management approaches rely on guidelines extrapolated from the more common epithelial subtype, the unique histopathologic and molecular characteristics of GCTs entail a more focused approach. Systemic therapy remains the cornerstone treatment for advanced disease, and although chemotherapy has been the standard for decades, targeted treatments have gained considerable attention lately. Due to the rarity of this disease, validation of new therapies in large trials is the rate-limiting step for developing evidence-based recommendations. This review sheds light on pathogenesis, clinical and molecular characteristics, and prognostic factors, and discusses current treatment options including the role of novel therapies and immune checkpoint inhibitors in advanced GCT.

Indexed as

FOXL2granulosa cell tumorsrare cancers

Identifiers

PMID39524463
PMCPMC11541922

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.