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Related Experiment Video

Updated: Jun 13, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Subtype-Specific Prognosis, Recurrence Patterns, and Molecular Features in 148 Chinese Uterine Sarcomas: A Real-World

Ting Huang1, Xinyu Xie1,2, Xinqiao Du1

  • 1Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing 100044, China.

Cancers
|June 12, 2026
PubMed
Summary

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Integration of inflammatory and nutritional biomarkers with machine learning enhances prediction of progesterone response in fertility-preserving endometrial carcinoma management.

Translational oncology·2026
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Tumor-metabolism integrated therapy: A new paradigm for fertility-sparing treatment in endometrial cancer.

Chinese journal of cancer research = Chung-kuo yen cheng yen chiu·2026
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From Maternal Exposure to F1 Development: Unveiling Cyclophosphamide-Induced Reproductive Toxicity.

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Tisotumab vedotin versus chemotherapy in Chinese patients with recurrent or metastatic cervical cancer with disease progression on or after systemic therapy.

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Development of a predictive model integrating pathological and clinical factors for fertility-sparing treatment in patients with atypical endometrial hyperplasia and endometrial carcinoma.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society·2026

Uterine sarcoma subtypes have different prognoses, with low-grade endometrial stromal sarcoma showing better survival. Histology, stage, and necrosis are key prognostic factors, guiding targeted therapies like immunotherapy for high-grade ESS and PARP inhibitors for uterine leiomyosarcoma.

Area of Science:

  • Gynecologic Oncology
  • Pathology
  • Bioinformatics

Background:

  • Uterine sarcomas are rare and diverse cancers.
  • Understanding their characteristics is crucial for improved patient outcomes.

Purpose of the Study:

  • To identify clinicopathological features of uterine sarcoma.
  • To determine prognostic factors and potential therapeutic targets.

Main Methods:

  • Retrospective analysis of 148 uterine sarcoma patients.
  • Assessment of clinical data, pathology, and immunohistochemistry.
  • Bioinformatics analysis of RNA sequencing data from public datasets.

Main Results:

  • Uterine leiomyosarcoma (uLMS) and low-grade endometrial stromal sarcoma (LG-ESS) were most common.
Keywords:
individualized therapymolecular characteristicprognostic determinantuterine sarcoma

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  • LG-ESS had a superior 5-year survival rate (90.3%) compared to uLMS (61.8%).
  • Histological subtype, stage, and coagulative necrosis independently predicted survival; transcriptomics revealed subtype-specific molecular profiles.

    • Conclusions:

    • Histological subtype, stage, and coagulative necrosis are critical prognostic indicators.
    • Findings support tailored therapies: endocrine therapy, immunotherapy for high-grade ESS, and PARP inhibitors for uLMS.
    • Pulmonary surveillance and cautious chemotherapy use in early-stage uLMS are recommended.