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ArticleVirchows Archiv : an international journal of pathology2026

Molecular classification-driven stage migration and prognostic risk stratification in endometrial cancers: FIGO 2023 vs FIGO 2009.

Neha Bakshi, Rahul Modi, Vandana Arya, Jyoti Kotwal, Sunila Jain, Mala Srivastava, Shyam Aggarwal, Sonia Badwal

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Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Neha BakshiDepartment of Pathology, Histopathology Division, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Rahul ModiDepartment of Obstetrics & Gynecology, Division of Gynaecologic Oncology, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Vandana AryaDepartment of Molecular Haematology, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Jyoti KotwalDepartment of Molecular Haematology, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Sunila JainDepartment of Pathology, Histopathology Division, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Mala SrivastavaDepartment of Obstetrics & Gynecology, Division of Gynaecologic Oncology, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Shyam AggarwalDepartment of Medical Oncology, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India.
Sonia BadwalDepartment of Pathology, Histopathology Division, Sir Ganga Ram Hospital, Rajender Nagar, New Delhi, India. soniabadwal06@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The FIGO 2023 staging system of endometrial cancers (ECs) encourages integration of molecular classification with traditional histopathologic parameters for better prognostication and improved treatment decisions; however, limited availability of molecular profiling hinders its universal adoption. We aimed to assess the impact of adding molecular classification on stage migration, risk-group stratification (ESGO/ESTRO/ESP), and adjuvant treatment protocols using FIGO 2023 vs FIGO 2009 staging. A total of 234 ECs were staged using FIGO 2023 and 2009 staging by either histomorphology alone ("Molecular classification unknown group"; n = 130/234), or by complete morpho-molecular categorization ("Molecular classification known group"; n = 104/203, using Sanger sequencing for POLE mutation, with immunohistochemistry for p53 and Mismatch-repair proteins). Significant stage shifts were noted with FIGO 2023, impacting chiefly low stage (stage I and II) ECs, with stage upshifts predominating over downshifts. Without molecular categorization, tumor stage upshifted in 12.3% and downshifted in 1.5% cases. Complimenting morphology with molecular categorization increased the proportion of stage shifts by 9.3%, with 21.2% upshifts and 1.9% downshifts. Both morphology (aggressive histology, substantial LVSI, tumor location) and molecular profile (p53abn/POLE mutation) contributed to stage shifts. Molecular classification changed prognostic risk-groups in 12.5 (13/104) vs 2.3% (3/130) patients without molecular profiling, potentially impacting adjuvant treatment protocols. Majority of patients with altered risk stratification could potentially benefit from a more aggressive treatment approach, while few patients could benefit from potential treatment de-escalation. Our results indicate that integrated morpho-molecular FIGO 2023 staging significantly impacts both stage and risk group stratification, and will benefit EC patients, particularly in high-grade early stage ECs, with potential treatment implications. Further comprehensive studies are needed to fully establish the implications of molecular classification in the FIGO 2023 staging system.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsNeoplasm StagingAgedFemaleHumansImmunohistochemistryMiddle AgedMutationPrognosisRisk AssessmentBiomarkers, TumorEndometrial cancerFIGO 2023ManagementMolecular classificationStaging

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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.