The Moore Criteria: Applicability in a diverse, non-trial, recurrent cervical cancer population

Research output: Contribution to journalArticle

Abstract

Objective: The Moore Criteria is a prognostic index for recurrent or metastatic cervical cancer based on five factors. The criteria were developed retrospectively and validated prospectively in clinical trial populations receiving systemic chemotherapy (C). Our objective was to evaluate the prognostic value of the Moore Criteria in a largely minority, non-trial population at first recurrence. Methods: Patients treated for recurrent cervical cancer diagnosed between 2012 and 2017 were analyzed retrospectively. Progression free survival (PFS) was defined from the date of recurrence to date of second recurrence. Overall survival (OS) was defined from the date of recurrence to date of death. Results: Of 274 patients identified, 78 were treated in the second line. 48 (61.5%) were Hispanic, 22 (28.2%) were black, and 7 (9%) were white non-Hispanic. By Moore criteria, 9 patients (11.5%) were classified as low-risk, 48 (61.5%) as moderate risk, and 21 (26.9%) as high-risk. 53 patients (67.9%) received C, and 25 (32.1%) received other treatment modalities without C. The high-risk category carried a significantly higher hazard ratio for both PFS (5.24, p < .001) and OS (3.15, p = .002) compared with the low- and intermediate-risk combined group. The low- and intermediate-risk groups demonstrated 78.9% response rate, compared with 33.3% in the high-risk category (p = .001). Black race did not affect survival or response rate. Conclusion: The Moore Criteria carries prognostic value across a diverse recurrent cervical cancer population outside of the clinical trial setting. Our data suggest that in a non-trial population, black race is not predictive of worse OS or PFS.

Original languageEnglish (US)
Pages (from-to)167-172
Number of pages6
JournalGynecologic oncology
Volume157
Issue number1
DOIs
StatePublished - Apr 2020

ASJC Scopus subject areas

  • Oncology
  • Obstetrics and Gynecology

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