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Hematologic Inflammatory Indexes As a Prognostic Factor in Endometrial Cancer Grading and Staging

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Specialty General Medicine
Date 2023 Jul 31
PMID 37520879
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Abstract

Background: Endometrial cancer is one the most popular types of cancer in women in the world, also a common type of cancer among Iranian females. Neutrophils to lymphocytes (NLR) and platelet to lymphocyte (PLR) ratios are two practical and available indicators in endometrial cancer. We examined their correlation in these patients and determined that they could be used as a prognostic factor in grading and staging this cancer. This study takes a practical approach and recommends a screening strategy for asymptomatic women diagnosed with cancer in its early stages.

Methods: Endometrial cancer patients were included in this cross-sectional study based on histological findings. NLR is known as the proportion of neutrophils to absolute lymphocytes, while PLR is known as the proportion of platelets to lymphocytes. The NLR and PLR were evaluated and their relationship to the grade and stage of cancer.

Results: PLR and NLR values were calculated, and the mean values were 4.917±5.870 and 16.019±18.963, respectively. NLR and PLR were more significant in group 2 patients. Additionally, a strong and statistically significant relationship existed between these two methods (p<0.001). For the NL and PL methods, the optimal cutting point was 3.66 and 13.26, respectively. The NL method had a specificity of 0.906 and a sensitivity of 0.564. The PL and NL zones had values of 0.697 and 0.725, respectively. Although there is no remarkable difference among these areas, the AUC of PL power is slightly better than the NL method. It demonstrates that they are capable of increasing detection power by more than 50%.

Conclusion: This study concluded that PLR and NLR were identified as independent prognostic items associated with the stage and grade of endometrial cancer.

Citing Articles

Causal relationship between inflammatory factors and gynecological cancer: a Bayesian Mendelian randomization study.

Dang C, Liu M, Liu P, Liu J, Yu X, Dong Y Sci Rep. 2024; 14(1):29868.

PMID: 39622847 PMC: 11612437. DOI: 10.1038/s41598-024-80747-x.

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