Evidence map›Paper›PMID 39833654›Full record

ArticleBreast cancer research and treatment2025

Assessing the clinical utility of pre-operative neutrophil-lymphocyte ratio as a predictor of clinicopathological parameters in patients being treated for primary breast cancer.

Burce Isik, Matthew G Davey, Alisha A Jaffer, Juliette Buckley, James A L Brown, Chwanrow Baban, Bridget Anne Merrigan, Shona Tormey

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Article in Breast cancer research and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Burce IsikUniversity of Limerick School of Medicine, Limerick, Ireland. 21149747@studentmail.ul.ie.
Matthew G DaveySymptomatic Breast Unit, University Hospital Limerick, Limerick, Ireland.
Alisha A JafferUniversity of Limerick School of Medicine, Limerick, Ireland.
Juliette BuckleySymptomatic Breast Unit, University Hospital Limerick, Limerick, Ireland.
James A L BrownDepartment of Biological Sciences, University of Limerick, Galway, Ireland.
Chwanrow BabanSymptomatic Breast Unit, University Hospital Limerick, Limerick, Ireland.
Bridget Anne MerriganSymptomatic Breast Unit, University Hospital Limerick, Limerick, Ireland.
Shona TormeySymptomatic Breast Unit, University Hospital Limerick, Limerick, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a paucity of data supporting the role of neutrophil-lymphocyte ratios (NLR) to determine clinicopathological parameters in patients being treated for primary breast cancer.

aimsTo evaluate the association between pre-operative NLR and clinicopathological parameters in patients diagnosed with breast cancer.

methodsA retrospective cohort study was performed. This included consecutive patients indicated to undergo surgery for primary breast cancer at University Hospital Limerick between January 2010 and June 2017. NLR was expressed as a continuous variable. Univariable and multivariable linear regression analyses were used to determine the correlation between NLR and clinicopathological data. Data analytics was performed using SPSS v29.0.

results673 patients met the inclusion criteria. Overall, the median preoperative NLR is 2.63 (standard deviation: 1.42). At univariable analysis, patient age (beta coefficient: 0.009, 95% confidence interval (CI) 0.001-0.017, P = 0.027), tumour size (beta coefficient: 0.013, 95% CI 0.005-0.021, P = 0.001), and human epidermal growth factor receptor-2 status (beta coefficient: - 0.370, 95% CI - 0.676-0.065, P = 0.017) were all predicted using NLR. However, at multivariable analysis, tumour size was the sole parameter predictable by NLR (beta coefficient: 0.011, 95% CI 0.002-0.019, P = 0.013).

conclusionsThis study demonstrates that pre-operative NLR may serve as an independent predictor of tumour size in patients being treated with primary breast cancer. Ratification of these preliminary findings is warranted before robustly adopted into clinical practice.

Indexed as

Breast NeoplasmsLymphocytesNeutrophilsAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansLeukocyte CountLymphocyte CountMiddle AgedNeoplasm StagingPreoperative PeriodPrognosisRetrospective StudiesBiomarkers, TumorBreast cancerImmunologyOncological outcomesPersonalised medicinePrecision oncology

Identifiers

PMID39833654
PMCPMC11953137

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