4.7 Article

Evaluation of treatment effects in patients with endometrial cancer and POLE mutations: An individual patient data meta-analysis

期刊

CANCER
卷 127, 期 14, 页码 2409-2422

出版社

WILEY
DOI: 10.1002/cncr.33516

关键词

adjuvant therapy; de‐ escalation; DNA polymerase epsilon (POLE); endometrial cancer; individual patient data (IPD) meta‐ analysis; molecular classification; overtreatment

类别

资金

  1. British Columbia Cancer Foundation
  2. Michael Smith Foundation for Health Research
  3. Canadian Institute for Cancer Research [CIHR-355221]
  4. Advanced Clinician Scientist Fellowship from Cancer Research UK [C26642/A27963]
  5. National Institute for Health Research Oxford Biomedical Research Centre
  6. KK Hospital Endowment Fund [KKHHEF/2014/02]
  7. Khoo Pilot Award [Duke-NUS-KP/2015/0017]
  8. Institute of Molecular and Cell Biology
  9. National Medical Research Council in Singapore
  10. Terry Fox Foundation
  11. National Institutes of Health [U01 CA176067-01A1]
  12. Deborah Bunn Alley Foundation
  13. Tina Brozman Foundation
  14. Discovery to Cure Foundation
  15. Guido Berlucchi Foundation
  16. Stand Up to Cancer

向作者/读者索取更多资源

Endometrial cancers with pathogenic POLE mutations are not associated with traditional risk parameters, and patients do not seem to benefit from adjuvant therapy. Low rates of recurrence/progression and high salvage rates may allow for safely decreasing treatment intensity for these patients.
BACKGROUND Endometrial cancers (ECs) with somatic mutations in DNA polymerase epsilon (POLE) are characterized by unfavorable pathological features, which prompt adjuvant treatment. Paradoxically, women with POLE-mutated EC have outstanding clinical outcomes, and this raises concerns of overtreatment. The authors investigated whether favorable outcomes were independent of treatment. METHODS A PubMed search for POLE and endometrial was restricted to articles published between March 1, 2012, and March 1, 2018, that provided individual patient data (IPD), adjuvant treatment, and survival. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) reporting guidelines for IPD, the authors used univariate and multivariate one-stage meta-analyses with mixed effects Cox models (random effects for study cohorts) to infer the associations of treatment, traditional prognostic factors, and outcome, which was defined as the time from first diagnosis to any adverse event (progression/recurrence or death from EC). RESULTS Three hundred fifty-nine women with POLE-mutated EC were identified; 294 (82%) had pathogenic mutations. Worse outcomes were demonstrated in patients with nonpathogenic POLE mutations (hazard ratio, 3.42; 95% confidence interval, 1.47-7.58; log-rank P < .01). Except for stage (P < .01), traditional prognosticators were not associated with progression/recurrence or death from disease. Adverse events were rare (11 progressions/recurrences and 3 disease-specific deaths). Salvage rates in patients who experienced recurrence were high and sustained, with 8 of 11 alive without evidence of disease (range, 5.5-14.2 years). Adjuvant treatment was not associated with outcome. CONCLUSIONS Clinical outcomes for ECs with pathogenic POLE mutations are not associated with most traditional risk parameters, and patients do not appear to benefit from adjuvant therapy. The observed low rates of recurrence/progression and the high and sustained salvage rates raise the possibility of safely de-escalating treatment for these patients. LAY SUMMARY Ten percent of all endometrial cancers have mutations in the DNA repair gene DNA polymerase epsilon (POLE). Women who have endometrial cancers with true POLE mutations experience almost no recurrences or deaths from their cancer even when their tumors appear to have very unfavorable characteristics. Additional therapy (radiation and chemotherapy) does not appear to improve outcomes for women with POLE-mutated endometrial cancer, and this supports the move to less therapy and less associated toxicity. Diligent classification of endometrial cancers by molecular features provides valuable information to inform prognosis and to direct treatment/no treatment.

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