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Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?

Breast cancer research has focused on the early detection and treatment of breast cancer. Axillary lymph node status is essential for primary breast cancer staging, recurrence, and survival. The current quest for precision medicine is to identify predictive markers that offer the advantage of indivi...

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Autores principales: Balbaloglu, Hakan, Tasdoven, Ilhan, Karadeniz Cakmak, Guldeniz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443763/
https://www.ncbi.nlm.nih.gov/pubmed/37603529
http://dx.doi.org/10.1097/MD.0000000000034808
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author Balbaloglu, Hakan
Tasdoven, Ilhan
Karadeniz Cakmak, Guldeniz
author_facet Balbaloglu, Hakan
Tasdoven, Ilhan
Karadeniz Cakmak, Guldeniz
author_sort Balbaloglu, Hakan
collection PubMed
description Breast cancer research has focused on the early detection and treatment of breast cancer. Axillary lymph node status is essential for primary breast cancer staging, recurrence, and survival. The current quest for precision medicine is to identify predictive markers that offer the advantage of individualized treatment options. This study aimed to investigate the value of inflammatory indices in predicting positive sentinel nodes in breast cancer. We studied 602 patients with early-stage breast cancer who underwent sentinel lymph node biopsies (SLNB) at the Bülent Ecevit University General Surgery Clinic. We obtained data, including the clinical and demographic characteristics of the patients, such as age, histological type, and sentinel lymph nodes. Neutrophil, lymphocyte, platelet, and monocyte counts were obtained from preoperative complete blood count test data from the patient registry. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory index (SII), and sentinel lymph node biopsy were analyzed. Sentinel LAP was negative in 391 (65%) patients and positive in 211 (35%). In the receiver operating characteristic curve analysis, no significant difference was found between SLNB positivity and negativity in terms of NLR, PLR, LMR, or SII. In contrast to previous research, NLR, PLR, LMR, or SII did not affect SLNB positivity prediction in our study.
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spelling pubmed-104437632023-08-23 Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer? Balbaloglu, Hakan Tasdoven, Ilhan Karadeniz Cakmak, Guldeniz Medicine (Baltimore) 7100 Breast cancer research has focused on the early detection and treatment of breast cancer. Axillary lymph node status is essential for primary breast cancer staging, recurrence, and survival. The current quest for precision medicine is to identify predictive markers that offer the advantage of individualized treatment options. This study aimed to investigate the value of inflammatory indices in predicting positive sentinel nodes in breast cancer. We studied 602 patients with early-stage breast cancer who underwent sentinel lymph node biopsies (SLNB) at the Bülent Ecevit University General Surgery Clinic. We obtained data, including the clinical and demographic characteristics of the patients, such as age, histological type, and sentinel lymph nodes. Neutrophil, lymphocyte, platelet, and monocyte counts were obtained from preoperative complete blood count test data from the patient registry. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic inflammatory index (SII), and sentinel lymph node biopsy were analyzed. Sentinel LAP was negative in 391 (65%) patients and positive in 211 (35%). In the receiver operating characteristic curve analysis, no significant difference was found between SLNB positivity and negativity in terms of NLR, PLR, LMR, or SII. In contrast to previous research, NLR, PLR, LMR, or SII did not affect SLNB positivity prediction in our study. Lippincott Williams & Wilkins 2023-08-18 /pmc/articles/PMC10443763/ /pubmed/37603529 http://dx.doi.org/10.1097/MD.0000000000034808 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 7100
Balbaloglu, Hakan
Tasdoven, Ilhan
Karadeniz Cakmak, Guldeniz
Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title_full Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title_fullStr Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title_full_unstemmed Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title_short Can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
title_sort can inflammatory indices predict sentinel lymph node status in patients with early-stage breast cancer?
topic 7100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443763/
https://www.ncbi.nlm.nih.gov/pubmed/37603529
http://dx.doi.org/10.1097/MD.0000000000034808
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