{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T23:20:42Z","timestamp":1787613642837,"version":"build-2736575974"},"reference-count":44,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,11,10]],"date-time":"2024-11-10T00:00:00Z","timestamp":1731196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Medicina"],"abstract":"<jats:p>Background and Objectives: Neoadjuvant chemotherapy (NAC) improves survival by increasing pathologic complete response (pCR). Blood-based indexes have been studied in breast cancer for predicting pCR and prognosis, but the results are conflicting. We aimed to assess the impact of inflammatory and nutritional indexes on pCR and survival. Materials and Methods: We retrospectively analyzed 304 patients. Pre-NAC laboratory data were used to calculate their neutrophil-to-lymphocyte ratios (NLR), pan-immune inflammation values (PIV), lactate dehydrogenase\u2013albumin ratios (LAR), and prognostic nutritional indexes. The optimal cut-off values were determined through an analysis of the receiver operating characteristic curve. Survival analyses were performed using the Kaplan\u2013Meier method. Multivariate regression analyses were performed to reveal the factors predicting pCR. Univariate and multivariate survival analyses were conducted to identify prognostic factors predicting survival. Results: The median follow-up was 38.5 months. pCR was achieved in 41.4% of the patients. In the univariate analyses, the NLR (p = 0.032) and PIV (p = 0.002) were indexes associated with pCR. In the multivariate analysis, the PIV (p = 0.008) was the only index significantly correlated with pCR. According to the multivariate Cox regression analyses, clinical stage 3 (p = 0.032), a pathologic response other than pCR (p = 0.021), and a high LAR (\u22654.72) (p = 0.002) were correlated with increased recurrence risk. The univariate Cox regression analyses revealed that failure to achieve pCR (p = 0.037) and the presence of a high LAR (p = 0.044) were significant predictors of overall survival. However, the multivariate analyses failed to identify any significant predictors of death. Conclusions: We found that the PIV was more effective than the other indexes in predicting pCR. To our knowledge, this study is the first to determine an association between the LAR and disease-free survival in patients with breast cancer receiving NAC. We concluded that a high LAR was a poor prognostic factor, especially in patients without a pCR. Therefore, close postoperative monitoring and the intensification of adjuvant treatment should be considered for these patients. However, further studies are needed to confirm our findings.<\/jats:p>","DOI":"10.3390\/medicina60111849","type":"journal-article","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T08:01:27Z","timestamp":1731312087000},"page":"1849","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Predictive and Prognostic Value of Inflammatory and Nutritional Indexes in Patients with Breast Cancer Receiving Neoadjuvant Chemotherapy"],"prefix":"10.3390","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9821-6368","authenticated-orcid":false,"given":"Mustafa Ozgur","family":"Arici","sequence":"first","affiliation":[{"name":"Department of Medical Oncology, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4107-3460","authenticated-orcid":false,"given":"Derya","family":"Kivrak Salim","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murat","family":"Kocer","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmet Sukru","family":"Alparslan","sequence":"additional","affiliation":[{"name":"Department of Radiology, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baris Rafet","family":"Karakas","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0290-8787","authenticated-orcid":false,"given":"Banu","family":"Ozturk","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, Antalya Training and Research Hospital, 07100 Antalya, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.3322\/caac.21660","article-title":"Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA Cancer J. 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