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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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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. |
format | Online Article Text |
id | pubmed-10443763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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