Predictive Value of Pre-treatment Hematological Parameters for Response to Definitive Chemoradiation in Locally Advanced Cervical Cancer: A Prospective Study
K. Novin, Pedram Fadavi, Nafiseh Mortazavi, A. Arefpour, Hamidreza Dehghan, Mohadeseh Shahin, Somayeh Mohammad Taheri
{"title":"Predictive Value of Pre-treatment Hematological Parameters for Response to Definitive Chemoradiation in Locally Advanced Cervical Cancer: A Prospective Study","authors":"K. Novin, Pedram Fadavi, Nafiseh Mortazavi, A. Arefpour, Hamidreza Dehghan, Mohadeseh Shahin, Somayeh Mohammad Taheri","doi":"10.5812/ijcm-143466","DOIUrl":null,"url":null,"abstract":"Background: More than 90% of cervical cancers are related to chronic inflammation caused by HPV. Several studies have shown that laboratory hematological parameters can detect the severity of systemic inflammation. Objectives: Our current cohort study investigated the predictive role of pretreatment hematological parameters for response to definitive chemoradiotherapy in patients with locally advanced cervical cancer (LACC). Methods: Prospectively, patients with LACC who candidates for definitive chemoradiation at Shohadaye Haftom-e-Tir are and Firozgar Hospitals (Tehran, Iran) were included in our study between April 2021 and December 2022. Hematological parameters were obtained from the blood sample test and peripheral blood smear before treatment. All patients diagnosed in stage IB to IVA received a similar treatment protocol and follow-up. Patients were divided into complete clinical (CR) and non-complete clinical responses (Non-CR). Leukocyte, Lymphocyte, neutrophil, platelet, hemoglobin (Hb), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), were documented and then compared between two groups of responders. We used receiver operating characteristic (ROC) analysis to investigate the predictive value of these hematological parameters. Results: Out of 34 patients who met the inclusion criteria, 25 (73/5%) patients were complete responders and 9 (26.5%) were non-complete responders. The average number of neutrophils, leukocytes, and NLR was significantly higher among Non-complete responders. Hemoglobin in patients with non-complete responses was significantly lower than that of the other group of responders. Receiver operating characteristic curve analysis showed that the optimized cut-off values for pretreatment Hb and NLR were 11 and 2.1, respectively. Neutrophil-to-lymphocyte ratio cut-off point > 2.1 is significantly associated with larger tumor size, low Hb, high platelet, and high leukocyte. Conclusions: hematological markers such as NLR can be a simple and inexpensive predictive factor to evaluate therapeutic response to chemoradiation in LACC patients.","PeriodicalId":44764,"journal":{"name":"International Journal of Cancer Management","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cancer Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5812/ijcm-143466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: More than 90% of cervical cancers are related to chronic inflammation caused by HPV. Several studies have shown that laboratory hematological parameters can detect the severity of systemic inflammation. Objectives: Our current cohort study investigated the predictive role of pretreatment hematological parameters for response to definitive chemoradiotherapy in patients with locally advanced cervical cancer (LACC). Methods: Prospectively, patients with LACC who candidates for definitive chemoradiation at Shohadaye Haftom-e-Tir are and Firozgar Hospitals (Tehran, Iran) were included in our study between April 2021 and December 2022. Hematological parameters were obtained from the blood sample test and peripheral blood smear before treatment. All patients diagnosed in stage IB to IVA received a similar treatment protocol and follow-up. Patients were divided into complete clinical (CR) and non-complete clinical responses (Non-CR). Leukocyte, Lymphocyte, neutrophil, platelet, hemoglobin (Hb), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR), were documented and then compared between two groups of responders. We used receiver operating characteristic (ROC) analysis to investigate the predictive value of these hematological parameters. Results: Out of 34 patients who met the inclusion criteria, 25 (73/5%) patients were complete responders and 9 (26.5%) were non-complete responders. The average number of neutrophils, leukocytes, and NLR was significantly higher among Non-complete responders. Hemoglobin in patients with non-complete responses was significantly lower than that of the other group of responders. Receiver operating characteristic curve analysis showed that the optimized cut-off values for pretreatment Hb and NLR were 11 and 2.1, respectively. Neutrophil-to-lymphocyte ratio cut-off point > 2.1 is significantly associated with larger tumor size, low Hb, high platelet, and high leukocyte. Conclusions: hematological markers such as NLR can be a simple and inexpensive predictive factor to evaluate therapeutic response to chemoradiation in LACC patients.
期刊介绍:
International Journal of Cancer Management (IJCM) publishes peer-reviewed original studies and reviews on cancer etiology, epidemiology and risk factors, novel approach to cancer management including prevention, diagnosis, surgery, radiotherapy, medical oncology, and issues regarding cancer survivorship and palliative care. The scope spans the spectrum of cancer research from the laboratory to the clinic, with special emphasis on translational cancer research that bridge the laboratory and clinic. We also consider original case reports that expand clinical cancer knowledge and convey important best practice messages.