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Poster Display session

49P - First Report on Pan-Immune-Inflammation Value as a New Prognostic Factor in Ovarian Cancer: A Biomarker Analysis of OVANORDEST-1 Study

Date

23 Feb 2023

Session

Poster Display session

Presenters

Khalid EL BAIRI

Citation

Annals of Oncology (2023) 8 (1suppl_1): 100811-100811. 10.1016/esmoop/esmoop100811

Authors

K. EL BAIRI1, I. Kharmach1, A. Zaimi2, O. Al Jarroudi2, S. Afqir3

Author affiliations

  • 1 Faculty of Medicine and Pharmacy of Oujda, Oujda/MA
  • 2 CHU Mohammed VI-Oujda, Oujda/MA
  • 3 Hassan II Oncology RegionalCenter, Oujda/MA

Resources

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Abstract 49P

Background

Inflammation is a hallmark of cancer. In our recent Umbrella systematic review of systematic reviews, we demonstrated that inflammatory biomarkers based on peripheral blood count impact both progression-free survival and overall survival (OS) in ovarian cancer. Pan-Immune-Inflammation Value (PIIV) is a new prognostic factor that was studied in breast cancer and other malignancies, but never in ovarian cancer. In this study, we provide the first results of the prognostic value of PIIV in a Moroccan cohort of ovarian cancer patients based on a biomarker-analysis of OVANORDEST-1 study.

Methods

An exploratory biomarker set from our OVANORDEST-1 database was included in the final analysis with OS as a primary endpoint. PIIV was calculated as previously described: (neutrophil count × platelet count × monocyte count)/lymphocyte count. Receiver operating characteristic (ROC) was used to evaluate the optimal cut-off of PIIV. Cox proportional hazard model was used for multivariable analysis and Kaplan-Meier method to estimate OS.

Results

A total number of 158 patients treated for epithelial ovarian cancer with a median age of 55 years were included in the survival analysis. A ROC-based cut off of 991.7 of PIIV was used for patients’ stratification. Survival analysis using Log rank test showed a significant association of PIIV with OS (p<0.0001). Women with high PIIV had the worst outcomes as compared to those with low PIIV (median OS: 16 months versus 35.4 months, respectively). On Cox proportional hazard model, PIIV was an independent predictor of OS (HR=2.38, CI:1.47-3.85; p<0.0001).

Conclusions

High PIIV is associated with an increased risk of death in women with epithelial ovarian cancer. A validation set of this study is ongoing and a prospective enrollment to develop a nomogram based on PIIV is being planned.

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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