A logarithmic model for hormone receptor-positive and breast cancer patients treated with neoadjuvant chemotherapy

dc.authoridseber, selcuk erdogan/0000-0001-9081-2405
dc.authoridCavdar, Eyyup/0000-0001-5885-3047
dc.authoridiriagac, Yakup/0000-0001-7411-1705
dc.authorwosidseber, selcuk erdogan/H-3327-2017
dc.contributor.authorSeber, Erdoğan Selçuk
dc.contributor.authorİriağaç, Yakup
dc.contributor.authorÇavdar, Eyyüp
dc.contributor.authorKaraboyun, Kubilay
dc.contributor.authorAvcı, Okan
dc.contributor.authorYolcu, Ahmet
dc.contributor.authorGürdal, Sibel Özkan
dc.contributor.authorÖznur, Meltem
dc.date.accessioned2023-05-06T17:23:34Z
dc.date.available2023-05-06T17:23:34Z
dc.date.issued2023
dc.departmentFakülteler, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Radyasyon Onkolojisi Ana Bilim Dalı
dc.description.abstractOBJECTIVE: The aim of this study was to investigate the predictive importance of the previously validated log(ER)*log(PgR)/Ki-67 predictive model in a larger patient population.METHODS: Patients with hormone receptor positive/HER-2 negative and clinical node positive before chemotherapy were included. Log(ER)*log(PgR)/ Ki-67 values of the patients were determined, and the ideal cutoff value was calculated using a receiver operating characteristic curve analysis. It was analyzed with a logistic regression model along with other clinical and pathological characteristics.RESULTS: A total of 181 patients were included in the study. The ideal cutoff value for pathological response was 0.12 (area under the curve=0.585, p=0.032). In the univariate analysis, no statistical correlation was observed between luminal subtype (p=0.294), histological type (p=0.238), clinical t-stage (p=0.927), progesterone receptor level (p=0.261), Ki-67 cutoff value (p=0.425), and pathological complete response. There was a positive relationship between numerical increase in age and residual disease. As the grade of the patients increased, the probability of residual disease decreased. Patients with log(ER)*log(PgR)/Ki-67 above 0.12 had an approximately threefold increased risk of residual disease when compared to patients with 0.12 and below (odds ratio: 3.17, 95% confidence interval: 1.48-6.75, p=0.003). When age, grade, and logarithmic formula were assessed together, the logarithmic formula maintained its statistical significance (odds ratio: 2.47, 95% confidence interval: 1.07-5.69, p=0.034).CONCLUSION: In hormone receptor-positive breast cancer patients receiving neoadjuvant chemotherapy, the logarithmic model has been shown in a larger patient population to be an inexpensive, easy, and rapidly applicable predictive marker that can be used to predict response.
dc.identifier.doi10.1590/1806-9282.20221255
dc.identifier.endpage439
dc.identifier.issn0104-4230
dc.identifier.issn1806-9282
dc.identifier.issue3en_US
dc.identifier.pmid36921198
dc.identifier.scopus2-s2.0-85150316623
dc.identifier.scopusqualityQ3
dc.identifier.startpage434
dc.identifier.urihttps://doi.org/10.1590/1806-9282.20221255
dc.identifier.urihttps://hdl.handle.net/20.500.11776/12164
dc.identifier.volume69
dc.identifier.wosWOS:000954038500001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorSeber, Erdoğan Selçuk
dc.institutionauthorİriağaç, Yakup
dc.institutionauthorÇavdar, Eyyüp
dc.institutionauthorKaraboyun, Kubilay
dc.institutionauthorAvcı, Okan
dc.institutionauthorYolcu, Ahmet
dc.institutionauthorGürdal, Sibel Özkan
dc.institutionauthorÖznur, Meltem
dc.language.isoen
dc.publisherAssoc Medica Brasileira
dc.relation.ispartofRevista Da Associacao Medica Brasileira
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPatients
dc.subjectBreast neoplasms
dc.subjectNeoadjuvant therapy
dc.subjectAntineoplastic agents
dc.subjectReceptors
dc.subjectprogesterone
dc.subjectestrogen
dc.subjectTherapy
dc.subjectEstrogen
dc.subjectSubtypes
dc.titleA logarithmic model for hormone receptor-positive and breast cancer patients treated with neoadjuvant chemotherapy
dc.typeArticle

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