Evidence map›Paper›PMID 41768240›Full record

ArticleFrontiers in oncology2026

U-shaped prognostic signature: baseline platelet count and morphological parameters predict ovarian cancer outcomes in a 265-patient cohort.

Yao Li, Songning Wang, Qiushi Wang, Zhan Li, Cuiqin Sang, Lei Zhu, Shuzhen Wang, Jinfeng Li

Abstract read
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Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yao LiDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Songning WangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Qiushi WangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Zhan LiDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Cuiqin SangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Lei ZhuDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Shuzhen WangDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.
Jinfeng LiDepartment of Obstetrics and Gynecology, Beijing Chaoyang Hospital Affiliated with Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to explore the predictive value of baseline platelet count and its morphological indicators for the prognosis of ovarian cancer patients. Method: A retrospective cohort study was conducted at a gynecological oncology center in Beijing, involving ovarian cancer patients between 2011 and 2022 and followed up until December 2024. Data were extracted from clinical information system. The primary endpoints were recurrence; the primary indicator was progression-free survival during the follow-up period. Result: A total of 265 patients was included in this study. During the follow-up period, 110 patients recurred, whereas 155 patients achieved remission. Univariate analysis revealed that baseline platelet count was associated with progression-free survival. The stratified analysis presented a U-shaped curve by smooth curve fitting. Threshold effect analysis indicated that the inflection points of the U-shaped curve occurred at platelet count of 236×10 Conclusion: This study reveals a significant nonlinear association between platelet count and morphology and the risk of recurrence of ovarian cancer. Exploring the complex mechanisms linking baseline platelet characteristics to the prognosis of ovarian cancer will help facilitate the application of platelets as meaningful prognostic indicators and therapeutic targets in clinical practice.

Indexed as

ovarian cancerplatelet countplatelet morphological indicatorprognosisrecurrence

Identifiers

PMID41768240
PMCPMC12945817

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