Frontiers in Oncology (Feb 2022)
Derived Neutrophil-to-Lymphocyte Ratio Predicts Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
- Alberto Ocaña,
- Alberto Ocaña,
- Alberto Ocaña,
- Jose Ignacio Chacón,
- Jose Ignacio Chacón,
- Lourdes Calvo,
- Lourdes Calvo,
- Antonio Antón,
- Antonio Antón,
- Mauro Mansutti,
- Joan Albanell,
- Joan Albanell,
- Joan Albanell,
- Joan Albanell,
- María Teresa Martínez,
- María Teresa Martínez,
- María Teresa Martínez,
- Ainhara Lahuerta,
- Ainhara Lahuerta,
- Giancarlo Bisagni,
- Begoña Bermejo,
- Begoña Bermejo,
- Begoña Bermejo,
- Vladimir Semiglazov,
- Marc Thill,
- Arlene Chan,
- Serafin Morales,
- Serafin Morales,
- Jesús Herranz,
- Ignacio Tusquets,
- Ignacio Tusquets,
- Ignacio Tusquets,
- Massimo Chiesa,
- Rosalía Caballero,
- Pinuccia Valagussa,
- Giampaolo Bianchini,
- Emilio Alba,
- Emilio Alba,
- Emilio Alba,
- Luca Gianni
Affiliations
- Alberto Ocaña
- Hospital Clínico San Carlos, Madrid e Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid and Universidad de Castilla La Mancha, Albacete, Spain
- Alberto Ocaña
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- Alberto Ocaña
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Jose Ignacio Chacón
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Jose Ignacio Chacón
- Oncology Department, Hospital Virgen de la Salud, Toledo, Spain
- Lourdes Calvo
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Lourdes Calvo
- Oncology Department, Complejo Hospitalario Universitario de A Coruňa, A Coruňa, Spain
- Antonio Antón
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Antonio Antón
- Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria de Aragón (IISA), Zaragoza, Spain
- Mauro Mansutti
- Oncology Department, University Hospital, Udine, Italy
- Joan Albanell
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- Joan Albanell
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Joan Albanell
- Cancer Research Program, Hospital del Mar Medical Research Institute (IMIM), Oncology Department, Hospital del Mar, Barcelona, Spain
- Joan Albanell
- Universitat Pompeu Fabra, Barcelona, Spain
- María Teresa Martínez
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- María Teresa Martínez
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- María Teresa Martínez
- 0Hospital Clínico Universitario de Valencia, Biomedical Research Institute INCLIVA, Valencia, Spain
- Ainhara Lahuerta
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Ainhara Lahuerta
- 1Oncology Department, Onkologikoa, San Sebastián, Spain
- Giancarlo Bisagni
- 2Oncology Department, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
- Begoña Bermejo
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- Begoña Bermejo
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Begoña Bermejo
- 0Hospital Clínico Universitario de Valencia, Biomedical Research Institute INCLIVA, Valencia, Spain
- Vladimir Semiglazov
- 3Oncology Department, NN Petrov Research Inst of Oncology, St. Petersburg, Russia
- Marc Thill
- 4Oncology Department, Agaplesion Markus Krankenhaus, Frankfurt am Main, Germany
- Arlene Chan
- 5Breast Cancer Research Center, Curtin University, Perth, WA, Australia
- Serafin Morales
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Serafin Morales
- 6Oncology Department, Hospital Universitario Arnau de Vilanova de Lleida, Lleida, Spain
- Jesús Herranz
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Ignacio Tusquets
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- Ignacio Tusquets
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Ignacio Tusquets
- Universitat Pompeu Fabra, Barcelona, Spain
- Massimo Chiesa
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Rosalía Caballero
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Pinuccia Valagussa
- 7Fondazione Michelangelo, Milano, Italy
- Giampaolo Bianchini
- 7Fondazione Michelangelo, Milano, Italy
- Emilio Alba
- Centro de Investigación Biomédica en Red de Oncología, CIBERONC-ISCIII, Madrid, Spain
- Emilio Alba
- GEICAM Spanish Breast Cancer Group, San Sebastián de los Reyes, Madrid, Spain
- Emilio Alba
- 8Hospitales Universitarios Regional y Virgen de la Victoria, IBIMA, Malaga, Spain
- Luca Gianni
- 7Fondazione Michelangelo, Milano, Italy
- DOI
- https://doi.org/10.3389/fonc.2021.827625
- Journal volume & issue
-
Vol. 11
Abstract
BackgroundDerived neutrophil-to-lymphocyte ratio (dNLR) is a biomarker associated with clinical outcome in breast cancer (BC). We analyzed the association of dNLR with pathological complete response (pCR) in triple-negative BC (TNBC) patients receiving neoadjuvant chemotherapy (CT).MethodsThis is a retrospective analysis of two randomized studies involving early stage/locally advanced TNBC patients receiving anthracycline/taxane-based CT+/−carboplatin (GEICAM/2006-03) or nab-paclitaxel/paclitaxel followed by anthracycline regimen (ETNA). dNLR was calculated as the ratio of neutrophils to the difference between total leukocytes and neutrophils in peripheral blood before CT (baseline) and at the end of treatment (EOT). Logistic regression analyses were used to explore dNLR association with pCR.ResultsIn total, 308 TNBC patients were analyzed, 216 from ETNA and 92 from GEICAM/2006-03. Baseline median dNLR was 1.61 (interquartile range (IQR): 1.25–2.04) and at EOT 1.53 (IQR: 0.96–2.22). Baseline dNLR showed positive correlation with increased tumor size (p-value = 1e−04). High baseline dNLR, as continuous variable or using median cutoff, was associated with lower likelihood of pCR in univariate analysis. High EOT dNLR as continuous variable or using quartiles was also associated with lower pCR rate in uni- and multivariate analyses.ConclusionsHigh baseline and EOT dNLR correlates with lower benefit from neoadjuvant CT in TNBC.
Keywords