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Poster viewing and lunch

137P - The Evaluation of the Effect of Inflammatory-Nutritional Prognostic Scoring (INPS) System on Treatment Response and Prognosis in Patients with Locally Advanced Breast Cancer Treated with Neoadjuvant Systemic Treatment

Date

12 May 2023

Session

Poster viewing and lunch

Presenters

Merve Keskinkilic

Citation

Annals of Oncology (2023) 8 (1suppl_4): 101220-101220. 10.1016/esmoop/esmoop101220

Authors

M. Keskinkilic1, F. Yalcin2, A. Okumus3, G. Polat3, U. Ates3, H. Ellidokuz4, T. YAVUZSEN4, I. Oztop4

Author affiliations

  • 1 Dokuz Eylul University School of Medicine - Institute of Oncology, Izmir/TR
  • 2 Izmir Katip Celebi University, Izmir/TR
  • 3 Dokuz Eylul University - Faculty of Medicine, Izmir/TR
  • 4 Dokuz Eylul University - Institute of Oncology, Izmir/TR

Resources

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Abstract 137P

Background

We aimed to reveal the prognostic value of the inflammatory-nutritional prognostic score (INPS), a new scoring system using immune-nutritional markers, in breast cancer with NACT.

Methods

Patients who were treated in Dokuz Eylul University Department of Medical Oncology and diagnosed breast cancer with NACT were included in this study retrospectively.We selected the most valuable biomarkers (Alb, Alb/ALP Ratio (AAR), ALBI, CRP, CRP/Alb Ratio,HALP, LDH, MLR, NLR, PLR, PNI, SII) to develop INPS by the least absolute shrinkage and selection operator (LASSO) Cox regression model. A prognostic nomogram incorporating INPS and other independent clinicopathological factors was developed based on the stepwise multivariate Cox regression method. The retained features with nonzero coefficients were used to establish a novel INPS. The selected four biomarkers were used to construct the novel INPS for our patients.Survival curves by INPS status were generated using the Kaplan-Meier method with logrank tests.

Results

Median follow-up time of 98 patients was 22.1 months(95% CI= 2.2-149.3) and DFS was 24.0 months (95%CI= 4.8-128.0 ). While 13.3% (n=13) of the patients relapsed, also 7.1% (n=7) died. The 98 patients were randomly divided into the train (n = 65) and test (n = 33) sets in a 2:1 ratio. Using the LASSO Cox regression model, four inflammatory-nutritional biomarkers with nonzero coefficients, namely, AAR, ALBI, LDH, and CRP, of the 14 parameters were selected.The optimum cut-off value was determined for these four markers according to DFS, and the groups were divided into low and high according to these cut-off values for INPS. Kaplan-Meier curves in both the train and test sets showed significant differences in the survival probabilities of the low INPS and high INPS groups. A prognostic nomogram including INPS and other independent clinicopathological factors was developed.

Conclusions

In breast cancer patients receiving NACT, it has been shown for the first time in the literature that INPS, created with immune-nutritional markers, can be used as a prognostic tool on DFS in this patient group.

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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