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The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy

Open access
León-Castillo, Alicia, de Boer, Stephanie M., Powell, Melanie E., Mileshkin, Linda R., Mackay, Helen J., Leary, Alexandra, Nijman, Hans W., Singh, Naveena, Pollock, Pamela M., Bessette, Paul, Fyles, Anthony, Haie-Meder, Christine, Smit, Vincent T. H. B. M., Edmondson, Richard J., Putter, Hein, Kitchener, Henry C., Crosbie, Emma J., de Bruyn, Marco, Nout, Remi A., Horeweg, Nanda, Creutzberg, Carien L., Bosse, Tjalling, on behalf of the TransPORTEC consortium·2020·Journal of Clinical Oncology

Abstract

PURPOSE: The randomized Adjuvant Chemoradiotherapy Versus Radiotherapy Alone in Women With High-Risk Endometrial Cancer (PORTEC-3) trial investigated the benefit of combined adjuvant chemotherapy and radiotherapy (CTRT) versus radiotherapy alone (RT) for women with high-risk endometrial cancer (EC). Because The Cancer Genome Atlas defined an EC molecular classification with strong prognostic value, we investigated prognosis and impact of chemotherapy for each molecular subgroup using tissue samples from PORTEC-3 trial participants. METHODS: Paraffin-embedded tissues of 423 consenting patients were collected. Immunohistochemistry for p53 and mismatch repair (MMR) proteins, and DNA sequencing for POLE exonuclease domain were done to classify tumors as p53 abnormal (p53abn), POLE-ultramutated ( POLEmut), MMR-deficient (MMRd), or no specific molecular profile (NSMP). The primary end point was recurrence-free survival (RFS). Kaplan-Meier method, log-rank test, and Cox model were used for analysis. RESULTS: Molecular analysis was successful in 410 high-risk EC (97%), identifying the 4 subgroups: p53abn EC (n = 93; 23%), POLEmut (n = 51; 12%), MMRd (n = 137; 33%), and NSMP (n = 129; 32%). Five-year RFS was 48% for patients with p53abn EC, 98% for POLEmut EC, 72% for MMRd EC, and 74% for NSMP EC ( P < .001). The 5-year RFS with CTRT versus RT for p53abn EC was 59% versus 36% ( P = .019); 100% versus 97% for patients with POLEmut EC ( P = .637); 68% versus 76% ( P = .428) for MMRd EC; and 80% versus 68% ( P = .243) for NSMP EC. CONCLUSION: Molecular classification has strong prognostic value in high-risk EC, with significantly improved RFS with adjuvant CTRT for p53abn tumors, regardless of histologic type. Patients with POLEmut EC had an excellent RFS in both trial arms. EC molecular classification should be incorporated in the risk stratification of these patients as well as in future trials to target specific subgroups of patients.

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Metadata

Authors
León-Castillo, A., de Boer, S. M., Powell, M. E., Mileshkin, L. R., Mackay, H. J., Leary, A., Nijman, H. W., Singh, N., Pollock, P. M., Bessette, P., Fyles, A., Haie-Meder, C., Smit, V. T. H. B. M., Edmondson, R. J., Putter, H., Kitchener, H. C., Crosbie, E. J., de Bruyn, M., Nout, R. A., Horeweg, N., Creutzberg, C. L., Bosse, T., & on behalf of the TransPORTEC consortium
Venue
Journal of Clinical Oncology
Published
2020-10-10
Volume
38
Issue
29
Pages
3388-3397
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W3047152751
Cited by
855
References
29
FWCI
52.53
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy. https://app.cochat.ai/papers/10.1200/jco.20.00549
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León-Castillo, A., de Boer, S. M., Powell, M. E., Mileshkin, L. R., Mackay, H. J., Leary, A., Nijman, H. W., Singh, N., Pollock, P. M., Bessette, P., Fyles, A., Haie-Meder, C., Smit, V. T. H. B. M., Edmondson, R. J., Putter, H., Kitchener, H. C., Crosbie, E. J., de Bruyn, M., Nout, R. A., . . . on behalf of the TransPORTEC consortium. (2020). Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy. Journal of Clinical Oncology. https://doi.org/10.1200/jco.20.00549

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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