A new predictive marker for predicting response after neoadjuvant chemotherapy in hormone receptor positive/HER2-negative patients: a logarithmic model

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dc.authorscopusid57226431644
dc.authorscopusid57226624079
dc.authorscopusid57431169800
dc.authorscopusid57222993248
dc.authorscopusid57193528797
dc.authorscopusid56082620300
dc.authorscopusid55376663700
dc.contributor.authorİriağaç, Yakup
dc.contributor.authorÇavdar, Eyyüp
dc.contributor.authorKaraboyun, Kubilay
dc.contributor.authorTacar, Seher Yıldız
dc.contributor.authorTaskaynatan, H.
dc.contributor.authorAvcı, Okan
dc.contributor.authorSeber, Erdoğan Selcuk
dc.contributor.authorYolcu, A.
dc.contributor.authorGürdal, Sibel Özkan
dc.contributor.authorÖznur, M.
dc.contributor.authorSeber, E.S.
dc.date.accessioned2022-05-11T14:40:56Z
dc.date.available2022-05-11T14:40:56Z
dc.date.issued2021
dc.departmentFakülteler, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Radyasyon Onkolojisi Ana Bilim Dalı
dc.description.abstractPurpose: Estrogen receptor (ER) and progesterone receptor (PgR) levels as well as Ki-67 expression levels are independent predictive markers in patients with hormone receptor-positive breast cancer. In this study, we investigated the predictive significance of the formula of log (ER)*log (PgR)/Ki-67, which was created using 3 independent predictive markers, for the pathological complete response of the Hormone Receptor (HR)-positive/HER2-negative breast cancer patients receiving neoadjuvant chemotherapy (NACT). Methods: This retrospective study included 126 patients with HR-positive/HER2-negative breast cancer and axillary lymph node metastasis who received NACT. The log (ER)*log (PgR)/Ki-67 value was calculated from the pre-NACT pathological evaluation results in all patients. We determined the ideal predictive cut-off value, which separates patients into 2 groups according to pathological complete response (pCR) and pathological non-complete response (non-pCR), using Receiver Operating Characteristic (ROC) curve analysis. According to this cut-off point, patients were divided into 2 groups as cut-off ratio high and cut-off ratio low and were compared using logistic regression analysis along with clinicopathological features. Results: According to the predictive model, we estimated the ideal cut-off value that distinguishes patients as pCR and non-pCR to be 0.12 (p=0.015). According to this cut off value, %54.8 of the patients were categorized as cut-off value high and %46.2 were cut-off value low. The non-pCR rates of the groups were 91.3% and %71.9, respectively(p=0.004). A cutoff value of 0.12 provided the feature of being a predictive marker in the univariate analysis for distinguishing between pCR and non-pCR (OR=4.09 95% CI 1.48-11.33, p=0.007), and it preserved this feature in the multivariate analysis. (OR=3.27, 95% CI 1.12-9.56, p=0.030). Conclusion: The formula of log (ER)*log (PgR)/Ki-67 can be used as a simple and easy-to-use predictive marker for response to neoadjuvant therapy in patients with HR-positive/HER2-negative breast cancer receiving NACT. © 2021 Zerbinis Publications. All rights reserved.
dc.identifier.endpage2281
dc.identifier.issn1107-0625
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85123687967
dc.identifier.scopusqualityQ3
dc.identifier.startpage2274
dc.identifier.urihttps://hdl.handle.net/20.500.11776/8982
dc.identifier.volume26
dc.indekslendigikaynakScopus
dc.institutionauthorİriağaç, Yakup
dc.institutionauthorÇavdar, Eyyüp
dc.institutionauthorKaraboyun, Kubilay
dc.institutionauthorAvcı, Okan
dc.institutionauthorSeber, Erdoğan Selcuk
dc.institutionauthorYolcu, A.
dc.institutionauthorGürdal, Sibel Özkan
dc.institutionauthorÖznur, M.
dc.institutionauthorŞeber, Erdoğan Selçuk
dc.language.isoen
dc.publisherZerbinis Publications
dc.relation.ispartofJournal of B.U.ON.
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBreast cancer
dc.subjectHormone positive
dc.subjectNeoadjuvant chemotherapy
dc.subjectNew predictive marker
dc.subjectPathologic complete response
dc.titleA new predictive marker for predicting response after neoadjuvant chemotherapy in hormone receptor positive/HER2-negative patients: a logarithmic model
dc.typeArticle

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