TY - JOUR
T1 - Elevated Neutrophil–Lymphocyte Ratio in Luminal-Type Locally Advanced Breast Cancer to Circumvent Neo-Adjuvant Chemotherapy
AU - Rao, Joseph Sushil
AU - Hanumappa, Harish Kumar
AU - Joseph, Elvis Peter
AU - Chowdappa, Raghunandan Gorantlu
AU - Ramesh, Rakesh
N1 - Publisher Copyright:
© 2019, Indian Association of Surgical Oncology.
PY - 2019/9/4
Y1 - 2019/9/4
N2 - Neutrophil–Lymphocyte Ratio (NLR) provides an understanding of the systemic inflammatory conditions. NLR plays an important role as a predictor of mortality in breast and other malignancies. The application of NLR to predict prognosis of Locally Advanced Breast Cancer (LABC) has not been well developed. In this retrospective study, we establish a relationship of pre-treatment NLR with the Pathological Complete Response (pCR) in LABC patients to enhance decision-making and treatment protocols. Data of women diagnosed with carcinoma breast between January 2015 and December 2017 was retrieved from hospital records of a tertiary medical centre in Bangalore, India, after obtaining institutional ethical clearance. LABC patients were categorized into pCR(+) and pCR(−). NLR was calculated and divided into quartiles. The cutoff NLR was determined using the Receiver Operating Characteristic (ROC) curve. Statistical analysis was performed on 119 LABC patients, of which 25 (21%) achieved pCR. Oestrogen Receptor (ER) positivity was significantly lower in pCR(+) than in pCR(−) (p = 0.012). NLR of 2.46 (AUC, 0.744; 95% CI [0.201–0.584]; p = 0.056) was considered the optimum cutoff for pCR(+). A sensitivity of 54%, specificity of 8%, positive predictive value of 1% and high Negative Predictive Value (NPV) of 84% was achieved in the study. A relationship between pCR and the pre-treatment NLR determined a significantly high NPV. Poor pCR in luminal A/B subtype presents with elevated NLR. Therefore, in luminal type A/B (ER- and PR-positive) with elevated NLR (poor outcome) and low pCR (poor response to NACT), the decision of eliminating NACT could be considered, thereby recommending surgical intervention.
AB - Neutrophil–Lymphocyte Ratio (NLR) provides an understanding of the systemic inflammatory conditions. NLR plays an important role as a predictor of mortality in breast and other malignancies. The application of NLR to predict prognosis of Locally Advanced Breast Cancer (LABC) has not been well developed. In this retrospective study, we establish a relationship of pre-treatment NLR with the Pathological Complete Response (pCR) in LABC patients to enhance decision-making and treatment protocols. Data of women diagnosed with carcinoma breast between January 2015 and December 2017 was retrieved from hospital records of a tertiary medical centre in Bangalore, India, after obtaining institutional ethical clearance. LABC patients were categorized into pCR(+) and pCR(−). NLR was calculated and divided into quartiles. The cutoff NLR was determined using the Receiver Operating Characteristic (ROC) curve. Statistical analysis was performed on 119 LABC patients, of which 25 (21%) achieved pCR. Oestrogen Receptor (ER) positivity was significantly lower in pCR(+) than in pCR(−) (p = 0.012). NLR of 2.46 (AUC, 0.744; 95% CI [0.201–0.584]; p = 0.056) was considered the optimum cutoff for pCR(+). A sensitivity of 54%, specificity of 8%, positive predictive value of 1% and high Negative Predictive Value (NPV) of 84% was achieved in the study. A relationship between pCR and the pre-treatment NLR determined a significantly high NPV. Poor pCR in luminal A/B subtype presents with elevated NLR. Therefore, in luminal type A/B (ER- and PR-positive) with elevated NLR (poor outcome) and low pCR (poor response to NACT), the decision of eliminating NACT could be considered, thereby recommending surgical intervention.
KW - Locally advanced breast cancer
KW - Luminal staging
KW - NACT
KW - Neutrophil-Lymphocyte Ratio
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U2 - 10.1007/s13193-019-00944-3
DO - 10.1007/s13193-019-00944-3
M3 - Article
AN - SCOPUS:85067645443
SN - 0975-7651
VL - 10
SP - 454
EP - 459
JO - Indian Journal of Surgical Oncology
JF - Indian Journal of Surgical Oncology
IS - 3
ER -