A new prognostic model including immune biomarkers, genomic proliferation tumor markers (AURKA and MYBL2) and clinical-pathological features optimizes prognosis in neoadjuvant breast cancer patients

Background

Up to 30% of breast cancer (BC) patients treated with neoadjuvant chemotherapy (NCT) will relapse. Our objective was to analyze the predictive capacity of several markers associated with immune response and cell proliferation combined with clinical parameters.

Methods

This was a single-center, retrospective cohort study of BC patients treated with NCT (2001-2010), in whom pretreatment biomarkers were analyzed: neutrophil-to-lymphocyte ratio (NLR) in peripheral blood, CD3+ tumor-infiltrating lymphocytes (TILs), and gene expression of AURKA, MYBL2 and MKI67 using qRT-PCR.

Results

A total of 121 patients were included. Median followup was 12 years. In a univariate analysis, NLR, TILs, AURKA, and MYBL2 showed prognostic value for overall survival. In multivariate analyses, including hormone receptor, HER2 status, and response to NCT, NLR (HR 1.23, 95% CI 1.01-1.75), TILs (HR 0.84, 95% CI 0.73-0.93), AURKA (HR 1.05, 95% CI 1.00-1.11) and MYBL2 (HR 1.19, 95% CI 1.05-1.35) remained as independent predictor variables.

Conclusion

Consecutive addition of these biomarkers to a regression model progressively increased its discriminatory capacity for survival. Should independent cohort studies validate these findings, management of early BC patients may well be changed.

Clinical Meaning of Stromal Tumor Infiltrating Lymphocytes (sTIL) in Early Luminal B Breast Cancer

Luminal breast cancer (BC) is associated with less immune activation, and the significance of stromal lymphocytic infiltration (sTIL) is more uncertain than in other BC subtypes. The aim of this study was to investigate the predictive and prognostic value of sTIL in early luminal BC. The study was performed with an observational design in a prospective cohort of 345 patients with predominantly high-risk luminal (hormone receptor positive, HER2 negative) BC and with luminal B features (n = 286), in which the presence of sTIL was analyzed with validated methods. Median sTIL infiltration was 5% (Q1-Q3 range (IQR), 0-10). We found that sTIL were associated with characteristics of higher biological and clinical aggressiveness (tumor and lymph node proliferation and stage, among others) and that the percentage of sTIL was predictive of pathologic complete response in patients treated with neoadjuvant chemotherapy (OR: 1.05, 95%CI 1.02-1.09, p < 0.001). The inclusion of sTIL (any level of lymphocytic infiltration: sTIL > 0%) in Cox regression multivariable prognostic models was associated with a shorter relapse-free interval (HR: 4.85, 95%CI 1.33-17.65, p = 0.016) and significantly improved its performance. The prognostic impact of sTIL was independent of other clinical and pathological variables and was mainly driven by its relevance in luminal B BC.

Prognostic and Predictive Effects of Tumor and Plasma miR-200c-3p in Locally Advanced and Metastatic Breast Cancer

While the role of miR-200c in cancer progression has been established, its expression and prognostic role in breast cancer is not completely understood. The predictive role of miR-200c in response to chemotherapy has also been suggested by some studies, but only limited clinical evidence is available. The purpose of this study was to investigate miR-200c-3p in the plasma and primary tumor of BC patients. The study design included two cohorts involving women with locally advanced (LABC) and metastatic breast cancer. Tumor and plasma samples were obtained before and after treatment. We found that miR-200c-3p was significantly higher in the plasma of BC patients compared with the controls. No correlation of age with plasma miR-200c-3p was found for controls or for BC patients. MiR-200c-3p tumor expression was also associated with poor overall survival in LABC patients treated with neoadjuvant chemotherapy, independently of pathological complete response or clinical stage. Our findings suggest that plasmatic miR-200c-3p levels could be useful for BC staging, while the tumor expression of miR-200c-3p might provide further prognostic information beyond residual disease in BC treated with neoadjuvant chemotherapy.

Abstract P4-07-11: Prognostic significance of changes in tumor infiltrating lymphocytes and neutrophil-to-lymphocyte ratio after neoadjuvant chemotherapy in early breast cancer patients

Introduction. There are still 30-40% of patients with early breast cancer (BC) that relapse after neoadjuvant chemotherapy (NAC). New prognostic biomarkers are needed. Current evidence shows that both markers of antitumor local and systemic immune response, such as tumor infiltrating lymphocytes (TIL) and neutrophil-to-lymphocyte ratio (NLR) have prognostic value in early BC. Most works have evaluated baseline levels, but their variation after NAC might be related to treatment resistance and should be explored.The aim of this study was to simultaneously investigate the prognostic significance of the pre-post-NAC variation of TIL and NLR in patients with early BC.Methods. Retrospective, single-center cohort of 121 patients with early BC treated with NAC between 2001 and 2010. Pre- and post-NAC TIL (CD3+) were assessed by tumor tissue microarrays performed in both diagnostic core-needle biopsy and surgical excision specimens, respectively. Pre- and post-NAC NLR were calculated based on blood tests collected within 1 month of cancer diagnosis and at the moment of surgery, respectively. The change on TIL and NLR after NAC was estimated by calculating the absolute difference of post- and pre- values of these parameters (Δpost-pre). We examined the association between the absolute difference of TIL and NLR (both divided into deciles) and survival outcomes by Cox regression. To represent in Kaplan-Meier curves the combined effect of the change of TIL and NLR in OS, we divided patients into 4 groups, depending on the sign of Δpost-pre values of TIL and NLR: 1) no TIL nor NLR increment after NAC (ΔTIL & ΔNRLpost-pre≤0); 2) no TIL but NLR increment (ΔTILpost-pre≤0, ΔNRLpost-pre&gt;0); 3) TIL but no NLR increment (ΔTILpost-pre&gt;0, ΔNRLpost-pre≤0); and 4) TIL and NLR increment following NAC (ΔTIL & ΔNRLpost-pre&gt;0).Results. 47 (40%) out of 121 patients had pre- and post-NAC values of both NLR and TIL. Patients’ baseline characteristics are shown in Table 1. The median follow-up of this group was 11.5 years (IQR: 10.5 - 12.5 years). At the final follow-up date, overall survival (OS) was 87.2 %. In the univariable analysis, the increase in TIL and NLR after NAC among deciles showed a negative prognostic value for OS (TIL: HR 1.54, 95%CI 1.05-2.26, p=0.026; HR 1.32 95%CI 0.98-1.79, p=0.070). In the multivariable analysis, adjusted by cancer staging after NAC, both the increase of TIL and NLR after NAC among deciles add independent predictive value (TIL: HR 1.53, 95%CI 1.00-2.34, p=0.049; RNL: HR 1.42 95%CI 0.95-2.12, p=0.09).The subpopulation of patients with no TIL increment after NAC (Groups 1&2, N=23) showed the best prognosis, with no deaths at 10 years. Among patients with TIL increment (Groups 3&4, N=22), those with no NLR increment (Group 3, N=5) showed an intermediate prognosis (20% deaths at 10 years), whereas patients with concurrent NLR increment (Group 4, N=17) had the lowest OS (29.4% deaths at 10 years). Differences observed between groups were statistically significant (Log Rank p=0.042).Conclusion. The integrated characterization of TIL and NLR variations after NAC identifies different prognostic subgroups in early BC patients. In our cohort, both the increment of TIL and/or NLR after NAC are associated to a worse prognosis. Future validation of these findings in large, multicenter cohorts might allow treatment optimization by means of new strategies such as immunotherapy.

Table 1.Patients’ baseline characteristicsN=47Age (median, range)56 (21, 78)Menstrual statusPostmenopausal25 (53,2%)Premenopausal22 (46,8%)Histologic subtypeInvasive ductal carcinoma42 (91,5%)Other subtypes4 (8,5%)Histologic gradeGrade 12 (4,3%)Grade 218 (38,3%)Grade 323 (48,9%)Unknown4 (8,6%)cTcT221 (44,7%)cT324 (51,1%)cT4a-d2 (4,2%)cNcN018 (38,3%)cN114 (29,8%)cN26 (12,8%)cN39 (19,1%)Molecular subtypeHR+ HER2-22 (46,8%)HER2+ HR+8 (17,0%)HER2+ HR-6 (12,8%)Triple negative10 (21,3%)Breast surgeryConservative26 (55,3%)Mastectomy21 (44,7%)Axillary surgerySentinel lymph node biopsy12 (25,5%)Axillary lymph node dissection35 (74,5%)Relapse typeMetastasis7 (14,9%)Local/contralateral1 (0,83%)Deaths6 (12,8%)

Citation Format: Esmeralda Garcia-Torralba, Beatriz Álvarez-Abril, Carlos Bravo-Pérez, Esther Navarro Manzano, Pilar de la Morena Barrio, Alejandra Ivars Rubio, Elisa García-Garre, Gema Marín Zafra, Francisco Ayala de la Peña, Elena García-Martínez. Prognostic significance of changes in tumor infiltrating lymphocytes and neutrophil-to-lymphocyte ratio after neoadjuvant chemotherapy in early breast cancer patients [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-07-11.

Abstract P4-07-03: Development of prognostic models based on clinical, immune-related and proliferation factors in early breast cancer patients treated with neoadjuvant chemotherapy

Introduction and objectives Up to 30% of early breast cancer (BC) patients treated with neoadjuvant chemotherapy will have systemic relapse during the follow-up. The integration of clinical, analytical and molecular parameters associated to tumor biology or host immune response could help to better stratify the prognosis of these patients. The aim of this study was to analyze the prognostic ability of immune-related and proliferation markers in combination with clinical parameters in patients with early BC treated with neoadjuvant chemotherapy. Methods and materials Retrospective and single-center cohort of BC patients treated with neoadjuvant chemotherapy between 2001 and 2010. We analyzed the following pre-treatment biological markers: neutrophil-to-lymphocyte ratio (NLR) in peripheral blood and CD3+-tumor-infiltrating lymphocytes (TIL), interferon-gamma and interleukin-10 in tumor samples by using a tissue microarray. Gene expression of AURKA, MYBL2, MKI67 and CTNNB1 in RNA from tumor samples was also evaluated by quantitative real-time polymerase chain reaction (qRT-PCR). Survival analysis was performed using Cox regression. The predictive capacity of the regression models was evaluated using AIC (Akaike Information Criterion) index, ROC curves and Harrell's C statistics. Results A total of 121 patients were included. Median age: 56 years. Cancer stage at diagnosis: 16% IIA, 28% IIB, 33% IIIA, 7% IIIB and 16% IIIC. Molecular subtype: 64% hormone receptor-positive (12% HER2-positive), 11% HER2-positive and 22% triple-negative. Pathological complete response (pCR): 16.5%. Median follow-up: 12 years. In the univariate analysis, NLR (HR 1.23, 95% CI 1.11-1.36; p&lt;0.001), TIL (HR 0.89, CI95% 0.81-0.98; p=0, 02), AURKA (HR 1.02, 95% CI 1.01-1.04; p&lt;0.001) and MYBL2 (HR 1.10, 95% CI 1.03-1.19; p=0.007) showed prognostic value for overall survival (OS). In the multivariate analysis, including staging after neoadjuvant therapy (HR 6.54, 95% CI 1.36-31.49; p=0.02), NLR (HR 1.33, 95% CI 1.08-1.64; p=0.008), TIL (HR 0.84, 95% CI 0.73-0.97; p=0.21), AURKA (HR 1.05, 95% CI 0.99-1.10; p=0.055) and MYBL2 (HR 1.14, 95% CI 1.00-1.31; p=0.04) remained as independent predictive variables in a regression analysis. Consecutive addition of these biomarkers to a regression model based on staging after neoadjuvant treatment progressively increased the discrimination accuracy of the models. These differences were more marked for the predictive model that included the four biological parameters identified in the multivariate analysis: NLR, TIL, AURKA and MYBL2 (Table 1). Conclusion In our cohort, the creation of a prognostic model integrated by clinical factors together with proliferation and both tissue and circulating immune biomarkers demonstrated high predictive capacity for OS. The validation of these findings in independent cohorts could impact in patient’s management.

Table 1.Analysis of prognostic capacity with the consecutive addition of biomarkersAICAUC ROC (95% CI)pHarrell's C-index (95% CI)pModel 1: ypTN2740,76 (0,58-0,94)Ref*0,74 (0,57-0,91)Ref*Model 2: ypTN + NLR1870,78 (0,61-0,95)0,830,80 (0,67-0,93)0,53Model 3: ypTN + NLR + TIL850,85 (0,73-0,98)0,300,83 (0,73-0,94)0,30Model 4: ypTN + NLR + TIL + + AURKA + MYBL2570,91 (0,80-1)0,110,89 (0,81-0,97)0,13*Ref: model 1 was the reference category that was used for comparison of AUC and C-index.AIC: Akaike Information Criterion. AUC ROC: Area Under the ROC Curve. ROC: Receiver Operating Characteristic.

Citation Format: Esmeralda Garcia-Torralba, Beatriz Álvarez-Abril, Carlos Bravo-Pérez, Esther Navarro Manzano, Pilar de la Morena Barrio, Alejandra Ivars Rubio, Elisa García-Garre, Gema Marín Zafra, Francisco Ayala de la Peña, Elena García-Martínez. Development of prognostic models based on clinical, immune-related and proliferation factors in early breast cancer patients treated with neoadjuvant chemotherapy [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P4-07-03.

Long-term response to first-line bevacizumab-based therapy in patients with metastatic breast cancer: results of the observational "LORENA" study

Background

Randomized controlled trials of the first-line combination of bevacizumab and chemotherapy in patients with metastatic breast cancer (MBC) have shown improvements in tumor response and progression-free survival (PFS).

Objective

The aim of this ambispective, observational study (LORENA) was to describe the clinical characteristics of long-term responders to bevacizumab-based therapy.

Patients and methods

This study consisted of a retrospective and a prospective phase. During the retrospective phase, patients with HER2-negative MBC who were treated with bevacizumab-based first-line therapy were included. During the prospective phase, patients with PFS of ≥12 months were treated according to routine clinical practice procedures. Overall survival (OS) and PFS were estimated using the Kaplan–Meier method. Univariate and multivariate analyses of prognostic factors were performed.

Results

In total, 148 women were included (median age: 50 years; range: 29–81 years). The mean duration of exposure to bevacizumab was 18 months. The majority of patients experienced objective response (complete: 23%; partial: 57%). Median PFS was 22.7 months and median OS was 58.2 months. In multivariate analyses, patients receiving maintenance hormonal therapy (MHT) had longer PFS (P=0.002; hazard ratio [HR] =1.8) and OS (P=0.009; HR=2.0), while patients not previously treated with taxanes had longer OS (P<0.0001; HR =3.3). No unexpected adverse events were observed.

Conclusion

The results of this study suggest, that among long-term responders, first-line bevacizumab-based therapy is more effective in patients who had not been previously treated with taxanes, and that MHT provides additional therapeutic benefits by extending PFS and OS.

Delayed recovery and increased severity of Paclitaxel-induced peripheral neuropathy in patients with diabetes

PURPOSE

Although diabetes mellitus (DM) is recognized as a risk factor for chemotherapy-induced neurotoxicity, its true impact on intensity and time course of peripheral neuropathy is still unclear. The goal was to analyze the relevance of preexisting DM to weekly paclitaxel-induced peripheral neuropathy (PIPN).

METHODS

We performed a retrospective case-control study (1:2) including a total of 129 patients with breast cancer (43 with DM and 86 controls) treated with single-agent weekly paclitaxel (wP).

RESULTS

Compared with controls, patients with DM treated with wP experienced PIPN more frequently (74.4% vs 58.4%; P=.016) and with higher severity (grade 2-3: 51.2% vs 27.7%; P=.014). A significant delay in PIPN resolution was observed in women with DM (P=.001) and, in a multivariate analysis, DM was the only independent predictor for delayed recovery (hazard ratio [HR], 0.16; 95% CI, 0.05-0.55; P=.003). After 2 years, 68.7% of patients with DM (vs 29.2% of women without DM) still experienced PIPN, which was functionally significant (grade 2-3) in 18.2%.

CONCLUSIONS

Significantly more dose delays and reductions because of PIPN occurred in patients with DM. Preexisting DM associates with long-lasting significant PIPN in patients treated with wP. Benefits and risks of long-term significant PIPN should be carefully balanced in patients with DM before starting wP chemotherapy.

Abstract P5-09-06: Decrease of tumor F3 expression after neoadjuvant chemotherapy associates to lower survival in breast cancer

Background:

Pathologic complete response (pCR) is the main prognostic factor after neoadjuvant chemotherapy (nCT) for breast cancer (BC). However, in cases without pCR, additional prognostic biomarkers are needed for subsequent prognostic and therapeutic stratification of patients. Tissue factor (F3) is the protease initiator of blood coagulation cascade and is expressed in solid tumors including BC. F3 oncogenic functions derive both from coagulation activation and from its cytoplasmic domain, although they are not well known yet. Prognostic impact of F3 circulating levels and tumor expression seems to be variable, and no studies evaluating F3 expression changes in the residual tumor after nCT are available. Our aim was to evaluate chemotherapy-mediated changes in F3 mRNA levels and their prognostic value in BC treated with nCT.

Methods:

RNA was isolated from FFPE samples of pre- and post-CT tumors. Post-CT F3 levels were analyzed only in patients without primary tumor pCR. Quantification of F3 was performed by RT-qPCR. F3 expression was categorized as no expression or above/below median expression. Change in expression levels (ΔF3), defined as pre-nCT minus post-nCT, was categorized by value of change (positive vs. negative). Association of F3 levels with clinical and pathological characteristics and analysis of paired samples was evaluated with non-parametric tests. Kaplan-Meier curves, log-rank test and Cox proportional hazard regression multivariate models were used for survival analysis. To externally validate our results, we also studied the correlation between F3 and the rest of the set of genes in the TCGA database. The best 150 directly and 150 inversely correlated genes (r &gt;0.3 and &lt;-0.3 respectively) were selected and functional prediction was performed using Genemania software for both groups.

Results:

We included 108 consecutive women with invasive BC, mostly with stages IIB or IIIA-C; Her2+: 25.0%, triple negative: 22.2%. After nCT including anthracyclines and taxanes, pCR rate was 19.4%. nCT significantly increased F3 expression (p&lt;0.000001). Pre-CT F3 levels were not associated with prognostic or predictive variables in our series. Loss or low post-CT F3 levels were associated with poor prognosis only in the univariate analysis. However, a nCT-induced decrease in F3 expression had a negative impact on overall survival in both univariate and multivariate analysis including cN (p=0.001 and 0.013 respectively). Both in our series and in external databases, F3 mRNA levels have an inverse correlation with proliferative genes, and nCT enhances these correlations (pre-CT: MYBL2: r=-0.358, p=0.001; MKI67: r=-0.267, p=0.019; post-CT: MYBL2: r=-0.495, p&lt;0.001; MKI67: r=-0.498, p&lt;0.001). A functional strong inverse correlation between F3 and mitotic functions was also confirmed in TCGA database.

Conclusion:

Our data demonstrate that nCT consistently increases tumor F3 expression. However, those cases with decreased expression of F3 after chemotherapy show poor overall survival rates. Functional analysis in our series and in public databases demonstrate that decreased F3 mRNA expression correlates with an increased mitotic activity, suggesting that low F3 mRNA levels could be a marker of active and resistant to treatment tumors.

Citation Format: Ginés Luengo-Gil, Enrique González-Billalabeitia, Rocío González-Conejero, Asunción Chaves-Benito, Elena García-Martínez, Gloria Soler-Sánchez, Elisa García-Garre, Lorena Velázquez, Vicente Vicente, Francisco Ayala de la Peña. Decrease of tumor F3 expression after neoadjuvant chemotherapy associates to lower survival in breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P5-09-06.

Tumor-infiltrating immune cell profiles and their change after neoadjuvant chemotherapy predict response and prognosis of breast cancer

Introduction

Tumor microenvironment immunity is associated with breast cancer outcome. A high lymphocytic infiltration has been associated with response to neoadjuvant chemotherapy, but the contribution to response and prognosis of immune cell subpopulations profiles in both pre-treated and post-treatment residual tumor is still unclear.

Methods

We analyzed pre- and post-treatment tumor-infiltrating immune cells (CD3, CD4, CD8, CD20, CD68, Foxp3) by immunohistochemistry in a series of 121 breast cancer patients homogeneously treated with neoadjuvant chemotherapy. Immune cell profiles were analyzed and correlated with response and survival.

Results

We identified three tumor-infiltrating immune cell profiles, which were able to predict pathological complete response (pCR) to neoadjuvant chemotherapy (cluster B: 58%, versus clusters A and C: 7%). A higher infiltration by CD4 lymphocytes was the main factor explaining the occurrence of pCR, and this association was validated in six public genomic datasets. A higher chemotherapy effect on lymphocytic infiltration, including an inversion of CD4/CD8 ratio, was associated with pCR and with better prognosis. Analysis of the immune infiltrate in post-chemotherapy residual tumor identified a profile (cluster Y), mainly characterized by high CD3 and CD68 infiltration, with a worse disease free survival.

Conclusions

Breast cancer immune cell subpopulation profiles, determined by immunohistochemistry-based computerized analysis, identify groups of patients characterized by high response (in the pre-treatment setting) and poor prognosis (in the post-treatment setting). Further understanding of the mechanisms underlying the distribution of immune cells and their changes after chemotherapy may contribute to the development of new immune-targeted therapies for breast cancer.

Electronic supplementary material

The online version of this article (doi:10.1186/s13058-014-0488-5) contains supplementary material, which is available to authorized users.

Capecitabine-induced radiation recall phenomenon: a case report

Radiation recall dermatitis is defined as an inflammatory reaction of the skin at the site of previous irradiation. Different drugs have been associated with triggering this phenomenon, and it can also affect other areas and organs where previous radiotherapy has been administered. The time gap between the inflammatory reaction and previous radiation can range from days to several years. We report a case of capecitabine-induced Radiation Therapy Oncology Group (RTOG) grade 4 (ulcerating dermatitis) recall skin toxicity of skin irradiated 3 years previously. To our knowledge, this is the first reported case of capecitabine-induced RTOG grade 4 (ulcerating dermatitis) recall skin toxicity of previously irradiated skin. Clinicians should be aware of this phenomenon, even when considering patients for whom it has been a long time since previous radiation therapy. This unusual and late drug side effect should be borne in mind in the differential diagnosis and management of advanced-disease patients as it may be confused with local relapse or infectious complication of previously operated areas.

Prognostic value of decrease on blood lymphocytes in breast cancer patients undergoing primary chemotherapy

e11537

Background: There is evidence about chemotherapy creating a better tumor control by inmune system. Neoadjuvant treatment is an excellent situation to study tumor behaviour. The aim of this study is to determine whether decreases on blood lymphocytes (BL) absolute number have a prognostic significance on women with breast cancer receiving primary chemotherapy (PC). Methods: A retrospective analysis was performed of 105 breast cancer patients who underwent PC. Doxorubicin (60mg/m2q3w) - Cyclophosphamide (600mg/m2q3w) x4c followed docetaxel (100 mg/m2q3w) x4c was PC regimen in 73,4%. We collected data on BL before the first cycle of PC (basal BL), just before second doxorubicin- cyclophosphamide (AC) cycle (BLa), and three weeks from the end of PC (BLb). The median decrease (MD) in blood lymphocytes has been calculated: MDa = BLa - basal BL; MDb = BLb - basal BL. Results: Of 105 patients with breast cancer 16,2% were clinical stage IIA, 19% IIB, 30,5% IIIA, 14,3% IIIB, 15,2% IIIC. The mean age was 50 years. The complete pathologic response (pCR) rate was 14,9% in primary tumor, and 37,9% in axillary nodes. The median follow up is 25 months (mo). Overall survival: (OS) 25,3 mo (range 4 - 89.3). Disease-free survival: (DFS) 21,8 mo (range 5 - 80.3). The median decrease on blood lymphocytes is MDa=300 106/L(2400, -1000), MDb=700 106/L(3900, -400). A decrease on BL just before second AC cycle (> MDa=300 106/L) is correlated with worse DFS, in univariant and multivariant analysis (HR =4.022; 95% CI:1.105–14.63; p 0.035 at first; HR=5.36; 95% CI:1.1–25.82; p 0.037 at former). Patients with BL decrease three weeks after finishing PC (>MDb=700 106/L) have worse DFS in univariant as multivariant analysis (HR=5.9 95% CI:1.2–27.5; p0.022 at first; HR=9.7 95% CI:1.11- 85.07; p 0.04 at former). We have not found significant differences in OS. Conclusions: A decrease on blood lymphocyte number in women with breast cancer undergoing primary chemotherapy is correlated with worse DFS.

No significant financial relationships to disclose.