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Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer

OBJECTIVE: Molecular based predictive biomarkers have been developed but still unaffordable in developing countries. The leukocyte ratio is known as a promising, affordable and practical biomarker. However, the evidence to support their application is still lacking, especially from developing countr...

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Autores principales: Wiguna, I Gede Wikania Wira, Remitha, Ni Putu Sri Indrani, Sadvika, I Gusti Ayu Stiti, Wiranata, Sinta, Putra, I Wayan Ardyan Sudartha, Adiputra, Putu Anda Tusta, Supadmanaba, I Gede Putu, Wihandani, Desak Made
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587872/
https://www.ncbi.nlm.nih.gov/pubmed/35633543
http://dx.doi.org/10.31557/APJCP.2022.23.5.1595
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author Wiguna, I Gede Wikania Wira
Remitha, Ni Putu Sri Indrani
Sadvika, I Gusti Ayu Stiti
Wiranata, Sinta
Putra, I Wayan Ardyan Sudartha
Adiputra, Putu Anda Tusta
Supadmanaba, I Gede Putu
Wihandani, Desak Made
author_facet Wiguna, I Gede Wikania Wira
Remitha, Ni Putu Sri Indrani
Sadvika, I Gusti Ayu Stiti
Wiranata, Sinta
Putra, I Wayan Ardyan Sudartha
Adiputra, Putu Anda Tusta
Supadmanaba, I Gede Putu
Wihandani, Desak Made
author_sort Wiguna, I Gede Wikania Wira
collection PubMed
description OBJECTIVE: Molecular based predictive biomarkers have been developed but still unaffordable in developing countries. The leukocyte ratio is known as a promising, affordable and practical biomarker. However, the evidence to support their application is still lacking, especially from developing countries. Therefore, this study aimed to evaluate the association between leukocytes count ratios as predictive markers of metastasis in luminal type breast cancer. METHODS: A retrospective cross-sectional study was conducted using breast cancer patient data obtained at Sanglah General Hospital (2016-2020). Complete blood count (CBC) and histopathological records of the patients were collected and the basophil-to-lymphocyte ratio (BLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) were calculated. Tumor stadium was classified into early (I-II) and advance (III-IV) stage while distant metastasis was classified into M0 and M1. Data were then analyzed using ROC curve and then followed by chi square and logistic regression analysis to obtain OR value. RESULTS: Two hundred eighty-three luminal breast cancer patient data were used in this study with mean age 49.27 ± 9.451. Most of the patient had advanced disease (177 patients; 62.5%) while metastatic disease accounted for 54 patients (19.1%) of all patients. Patients with metastatic disease had higher median of BLR, MLR, NLR and PLR (0.043 ± 0.025, p=0.034; 0.289 ± 0.285, p=0.008; 3.489 ± 5.027, p=0.044; 159.538 ± 127.79, p=0.008) than patients without metastasis. The AUC (sensitivity and specificity) of BLR, MLR, NLR and PLR in predicting metastasis were 0.593 (51%; 65%), 0.616 (35%; 89%), 0.588 (46%; 75%) and 0.615 (40%; 81%), respectively. In multivariate risk analysis model, patients with metastasis were found in high BLR (Adjusted OR: 2.045; 95%CI=1.123-3.723; p=0.019), MLR (Adjusted OR: 4.862; 95%CI=2.401-9.844; p<0.001), NLR (Adjusted OR: 2.727; 95%CI=1.475-5.044; p=0.001) and PLR (Adjusted OR: 3.061; 95%CI=1.618-5.792; p=0.001). CONCLUSION: Pretreatment leukocyte ratios are potential predictive markers for metastasis. However, these findings need to be validated in larger and prospective studies with more comprehensive design.
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spelling pubmed-95878722022-10-28 Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer Wiguna, I Gede Wikania Wira Remitha, Ni Putu Sri Indrani Sadvika, I Gusti Ayu Stiti Wiranata, Sinta Putra, I Wayan Ardyan Sudartha Adiputra, Putu Anda Tusta Supadmanaba, I Gede Putu Wihandani, Desak Made Asian Pac J Cancer Prev Research Article OBJECTIVE: Molecular based predictive biomarkers have been developed but still unaffordable in developing countries. The leukocyte ratio is known as a promising, affordable and practical biomarker. However, the evidence to support their application is still lacking, especially from developing countries. Therefore, this study aimed to evaluate the association between leukocytes count ratios as predictive markers of metastasis in luminal type breast cancer. METHODS: A retrospective cross-sectional study was conducted using breast cancer patient data obtained at Sanglah General Hospital (2016-2020). Complete blood count (CBC) and histopathological records of the patients were collected and the basophil-to-lymphocyte ratio (BLR), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) were calculated. Tumor stadium was classified into early (I-II) and advance (III-IV) stage while distant metastasis was classified into M0 and M1. Data were then analyzed using ROC curve and then followed by chi square and logistic regression analysis to obtain OR value. RESULTS: Two hundred eighty-three luminal breast cancer patient data were used in this study with mean age 49.27 ± 9.451. Most of the patient had advanced disease (177 patients; 62.5%) while metastatic disease accounted for 54 patients (19.1%) of all patients. Patients with metastatic disease had higher median of BLR, MLR, NLR and PLR (0.043 ± 0.025, p=0.034; 0.289 ± 0.285, p=0.008; 3.489 ± 5.027, p=0.044; 159.538 ± 127.79, p=0.008) than patients without metastasis. The AUC (sensitivity and specificity) of BLR, MLR, NLR and PLR in predicting metastasis were 0.593 (51%; 65%), 0.616 (35%; 89%), 0.588 (46%; 75%) and 0.615 (40%; 81%), respectively. In multivariate risk analysis model, patients with metastasis were found in high BLR (Adjusted OR: 2.045; 95%CI=1.123-3.723; p=0.019), MLR (Adjusted OR: 4.862; 95%CI=2.401-9.844; p<0.001), NLR (Adjusted OR: 2.727; 95%CI=1.475-5.044; p=0.001) and PLR (Adjusted OR: 3.061; 95%CI=1.618-5.792; p=0.001). CONCLUSION: Pretreatment leukocyte ratios are potential predictive markers for metastasis. However, these findings need to be validated in larger and prospective studies with more comprehensive design. West Asia Organization for Cancer Prevention 2022-05 /pmc/articles/PMC9587872/ /pubmed/35633543 http://dx.doi.org/10.31557/APJCP.2022.23.5.1595 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. https://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Research Article
Wiguna, I Gede Wikania Wira
Remitha, Ni Putu Sri Indrani
Sadvika, I Gusti Ayu Stiti
Wiranata, Sinta
Putra, I Wayan Ardyan Sudartha
Adiputra, Putu Anda Tusta
Supadmanaba, I Gede Putu
Wihandani, Desak Made
Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title_full Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title_fullStr Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title_full_unstemmed Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title_short Pretreatment Leukocyte Count Ratios as Metastatic Predictive Factors in Luminal Type Breast Cancer
title_sort pretreatment leukocyte count ratios as metastatic predictive factors in luminal type breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587872/
https://www.ncbi.nlm.nih.gov/pubmed/35633543
http://dx.doi.org/10.31557/APJCP.2022.23.5.1595
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