The association of comorbid conditions and BMI on overall survival in geriatric breast cancer patients.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21525-e21525
Author(s):  
Meghna R. Desai ◽  
Muhammad Iqbal ◽  
Sukesh Manthri ◽  
Kathy Robinson ◽  
Robert S. Mocharnuk
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Eligible Patient ◽  
Cox Proportional Hazards ◽  
Breast Cancer Patients ◽  
Comorbid Conditions ◽  
Organ Systems ◽  
Significant Difference

e21525 Background: Breast cancer is the most common cancer and the second leading cause of cancer death in women. More than one-half of all women diagnosed with breast cancer are older than 65 years, and the incidence increases with age. Geriatric cancer patients also have higher comorbidity than the general cancer population. Patients with 3 or more comorbid conditions had a 20-fold higher rate of mortality from causes other than breast cancer. The purpose of this study was to determine whether specific comorbidities associated with specific organ systems, in addition to increased BMI, resulted in decreased survival. Methods: In this retrospective analysis, 269 patients with histologically confirmed invasive or in-situ breast cancer and above 65 years of age at the time of diagnosis were eligible. Patient comorbidities were recorded by system, including cardiovascular, renal, pulmonary, endocrine, neurologic, psychiatric and other systems. Patient BMI was also recorded. The primary outcome was overall survival (OS). Survival analysis was conducted by Kaplan Meier estimation and Cox proportional hazards regression analysis. Results: Patients with renal comorbidities were found to have decreased OS, disease free and progression free survival compared with rest of the population (HR 2.65, p = 0.023; HR 2.71, p = 0.021; HR 27.5, p = 0.019). For patients with cardiovascular (HR 1.46, p = 0.479), pulmonary (HR 1.63, p = 0.176), endocrine (HR 0.99, p = 0.991), neurologic (HR 1.92, p = 0.15) and psychiatric (HR 1.68, p = 0.187) comorbidities, there was no significant difference in OS compared with their counterparts. Patients with 4 or more systemic comorbidities had decreased OS compared with patients with either 1 or 2 systemic comorbidities (HR 0.178, p = 0.012; HR 0.404, p = 0.038). There was no significant change in OS with increased BMI (HR 0.998, p = 0.871). Conclusions: In patients with newly diagnosed breast cancer age 65 or older, those with renal comorbidities were found to have decreased OS, DFS and PFS. Patients with 4 or more systemic comorbidities also had decreased OS compared with those who had 1 or 2 comorbidities. Other comorbidities and BMI did not affect OS in these patients.

scholarly journals Relationship Between Obesity and Pathologic Response to Neoadjuvant Chemotherapy Among Women With Operable Breast Cancer

2008 ◽  
Vol 26 (25) ◽  
pp. 4072-4077 ◽  
Author(s):  
Jennifer K. Litton ◽  
Ana M. Gonzalez-Angulo ◽  
Carla L. Warneke ◽  
Aman U. Buzdar ◽  
Shu-Wan Kau ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Pathologic Complete Response ◽  
Operable Breast Cancer ◽  
Obese Patients ◽  
Breast Cancer Patients ◽  
Significant Difference ◽  
Response To Neoadjuvant Chemotherapy

Purpose To understand the mechanism through which obesity in breast cancer patients is associated with poorer outcome, we evaluated body mass index (BMI) and response to neoadjuvant chemotherapy (NC) in women with operable breast cancer. Patients and Methods From May 1990 to July 2004, 1,169 patients were diagnosed with invasive breast cancer at M. D. Anderson Cancer Center and received NC before surgery. Patients were categorized as obese (BMI ≥ 30 kg/m2), overweight (BMI of 25 to < 30 kg/m2), or normal/underweight (BMI < 25 kg/m2). Logistic regression was used to examine associations between BMI and pathologic complete response (pCR). Breast cancer–specific, progression-free, and overall survival times were examined using the Kaplan-Meier method and Cox proportional hazards regression analysis. All statistical tests were two-sided. Results Median age was 50 years; 30% of patients were obese, 32% were overweight, and 38% were normal or underweight. In multivariate analysis, there was no significant difference in pCR for obese compared with normal weight patients (odds ratio [OR] = 0.78; 95% CI, 0.49 to 1.26). Overweight and the combination of overweight and obese patients were significantly less likely to have a pCR (OR = 0.59; 95% CI, 0.37 to 0.95; and OR = 0.67; 95% CI, 0.45 to 0.99, respectively). Obese patients were more likely to have hormone-negative tumors (P < .01), stage III tumors (P < .01), and worse overall survival (P = .006) at a median follow-up time of 4.1 years. Conclusion Higher BMI was associated with worse pCR to NC. In addition, its association with worse overall survival suggests that greater attention should be focused on this risk factor to optimize the care of breast cancer patients.

Chemotherapy and Cardiotoxicity in Older Breast Cancer Patients: A Population-Based Study

2005 ◽  
Vol 23 (34) ◽  
pp. 8597-8605 ◽  
Author(s):  
John J. Doyle ◽  
Alfred I. Neugut ◽  
Judith S. Jacobson ◽  
Victor R. Grann ◽  
Dawn L. Hershman
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Stage I ◽  
Breast Cancer Patients ◽  
Primary Tumors ◽  
Increased Risk

Purpose Adjuvant chemotherapy, especially with anthracyclines, is known to cause acute and chronic cardiotoxicity in breast cancer patients. We studied the cardiac effects of chemotherapy in a population-based sample of breast cancer patients aged ≥ 65 years with long-term follow-up. Patients and Methods In the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, we analyzed treatments and outcomes among women ≥ 65 years of age who were diagnosed with stage I to III breast cancer from January 1, 1992 to December 31, 1999. Propensity scores were used to control for baseline heart disease (HD) and other known predictors of chemotherapy, and Cox proportional hazards models were used to estimate the risk of cardiomyopathy (CM), congestive heart failure (CHF), and HD after chemotherapy. Results Of 31,748 women with stage I to III breast cancer, 5,575 (18%) received chemotherapy. Chemotherapy was associated with younger age, fewer comorbidities, hormone receptor negativity, multiple primary tumors, and advanced disease. Patients who received chemotherapy were less likely than other patients to have pre-existing HD (45% v 55%, respectively; P < .001). The hazard ratios for CM, CHF, and HD for patients treated with doxorubicin (DOX) compared with patients who received no chemotherapy were 2.48 (95% CI, 2.10 to 2.93), 1.38 (95% CI, 1.25 to 1.52), and 1.35 (95% CI, 1.26 to 1.44), respectively. The relative risk of cardiotoxicity among patients who received DOX compared with untreated patients remained elevated 5 years after diagnosis. Conclusion When baseline HD was taken into account, chemotherapy, especially with anthracyclines, was associated with a substantially increased risk of CM. As the number of long-term survivors grows, identifying and minimizing the late effects of treatment will become increasingly important.

The HOXB13:IL17BR Expression Index Is a Prognostic Factor in Early-Stage Breast Cancer

2006 ◽  
Vol 24 (28) ◽  
pp. 4611-4619 ◽  
Author(s):  
Xiao-Jun Ma ◽  
Susan G. Hilsenbeck ◽  
Wilson Wang ◽  
Li Ding ◽  
Dennis C. Sgroi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factor ◽  
Clinical Outcome ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Early Stage ◽  
Cox Proportional Hazards ◽  
Tamoxifen Treatment ◽  
Breast Cancer Patients ◽  
Node Negative

Purpose We previously identified three genes, HOXB13, IL17BR and CHDH, and the HOXB13:IL17BR ratio index in particular, that strongly predicted clinical outcome in breast cancer patients receiving tamoxifen monotherapy. Confirmation in larger independent patient cohorts was needed to fully validate their clinical utility. Patients and Methods Expression of HOXB13, IL17BR, CHDH, estrogen receptor (ER) and progesterone receptor (PR) were quantified by real-time polymerase chain reaction in 852 formalin-fixed, paraffin-embedded primary breast cancers from 566 untreated and 286 tamoxifen-treated breast cancer patients. Gene expression and clinical variables were analyzed for association with relapse-free survival (RFS) by Cox proportional hazards regression models. Results ER and PR mRNA measurements were in close agreement with immunohistochemistry. In the entire cohort, expression of HOXB13 was associated with shorter RFS (P = .008), and expression of IL17BR and CHDH was associated with longer RFS (P < .0001 for IL17BR and P = .0002 for CHDH). In ER+ patients, the HOXB13:IL17BR index predicted clinical outcome independently of treatment, but more strongly in node-negative patients. In multivariate analysis of the ER+ node-negative subgroup including age, PR status, tumor size, S phase fraction, and tamoxifen treatment, the two-gene index remained a significant predictor of RFS (hazard ratio = 3.9; 95% CI, 1.5 to 10.3; P = .007). Conclusion This tumor bank study demonstrated HOXB13:IL17BR index is a strong independent prognostic factor for ER+ node-negative patients irrespective of tamoxifen therapy.

Outcome of breast cancer patients treated with chemotherapy during pregnancy compared with non-pregnant controls.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 515-515
Author(s):  
Frederic Amant ◽  
Valentina Nekljudova ◽  
Charlotte Maggen ◽  
Fenja Seither ◽  
Patrick Neven ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Hormone Receptor ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Breast Cancer Patients ◽  
Cancer Data ◽  
Cancer Group ◽  
Breast Cancer Group ◽  
Grade 3

515 Background: Overall a diagnosis of breast cancer during pregnancy (BCP) appears not to impact maternal prognosis if standard treatment is offered. However, caution is warranted as gestational changes in pharmacokinetics with respect to the distribution, metabolism and excretion of drugs may lead to reduced chemotherapy concentration in pregnant patients. This cohort study was designed to focus on the maternal prognosis of BCP patients that receive chemotherapy during pregnancy. Methods: The outcome of BCP patients treated with chemotherapy during pregnancy was compared to non-pregnant breast cancer patients treated with chemotherapy, diagnosed after 2000, excluding postpartum diagnosis and with an age limit of 45 years. The data was registered by two multicentric registries (the International Network of Cancer, Infertility and Pregnancy and the German Breast Cancer Group) that collect both retro-and prospectively breast cancer data. Cox proportional hazards regression was used to compare disease-free (DFS) and overall survival (OS) between both groups, adjusting for age, stage, grade, hormone receptor status, human epidermal growth factor 2 status and histology, weighted by propensity scoring in order to account for the differences in baseline characteristics between pregnant patients and controls. Results: In total, 662 pregnant and 2081 non-pregnant patients, were eligible for analysis. Median age at diagnosis was 34 (range 22-47) years for pregnant and 38 (range 19-45) years for non-pregnant patients. Pregnant patients were more likely to have stage II breast cancer (60.1% vs 56.1%, p = 0.035), grade 3 tumors (74.0% vs 62.2%, p < 0.001), hormone receptor-negative tumors (48.4% vs 34.0%, p < 0.001) or triple-negative breast cancer (38.9% vs 26.9%, p < 0.001). Median follow-up was 66 months. DFS and OS were comparable for pregnant and non-pregnant patients (DFS: HR 1.02, 95%CI 0.82-1.27, p = 0.83; OS: HR 1.08, 95% CI 0.81-1.45, p = 0.59). A subgroup analysis of 339 women that received more than 60% of chemotherapy during pregnancy (cut-off at median) revealed a comparable survival compared to non-pregnant women (DFS: HR 0.81, 95%CI 0.62-1.06, p = 0.13; OS: HR 0.85 95% CI 0.58-1.23, p = 0.39). Conclusions: Pregnancy-induced alternations in chemotherapy concentration do not seem to affect maternal prognosis in breast cancer patients. These results support initiation of chemotherapy for BCP where indicated for oncological reasons.

scholarly journals Breast cancer survivorship and level of institutional involvement utilizing integrative oncology.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18588-e18588
Author(s):  
Terri Crudup ◽  
Linna Li ◽  
Jennifer Wright Dorr ◽  
Elizabeth Lawson ◽  
Rachel Stout ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Metastatic Disease ◽  
Multivariate Modeling ◽  
Breast Cancer Patients ◽  
Integrative Oncology ◽  
Academic Setting ◽  
Significant Difference ◽  
The Relationship

e18588 Background: A growing body of evidence has shown that a Whole Person Integrative Oncology approach, adding the use of complementary and lifestyle therapies to cancer treatments, benefits patients by improving patient-reported outcomes and potentially extending overall survival. This study aims to investigate the relationship between the survival outcomes of breast cancer patients and the level of involvement in Integrative Oncology at the institutions treating those patients. Methods: Between January 2013 and December 2014, 4,815 breast cancer patients were available for survival analysis using an established claims-based method. These patients were filtered to include those with clear mapping to treating oncologists and treating institutions. To measure each institution’s level of Integrative involvement, a scoring system was developed with the Samueli Foundation and oncologists from each institution were surveyed on the education, availability, and financing of 12 complementary and lifestyle approaches during the treatment timeframe. Statistical analysis using multivariate modeling with logistic regression and a lasso approach were employed. 19 variables across region, patient demographics, and institutional profile were included. Model coefficients are exponentiated and presented as odds-ratios, with less than one having a negative impact on survival and greater than one improved survival. Results: We identified 173 patients mapping to 103 institutions and 103 oncologists who responded to our survey. Median age of breast cancer patients was 51 (range: 32-76). 14 of the patients (8%) were identified as metastatic. The 5-year overall survival among the Low scoring institutions was 89%, Low-Mid 96%, Mid-High 96%, High 95%. Chi square testing across these cohorts showed no statistically significant difference between them. On multivariate modeling, age, geography, metastatic status, academic setting, and Integrative score were predictors of 5-year survival. The most significant 9 variables are shown in Table. Having metastatic disease, treatment at a non NCCN designated facility, treatment at Midwest or Western Region predicts for lower 5-year survival. Older age, treatment at an academic setting, and having a High or Low-Mid Integrative score are predictors of improved survival. Conclusions: This study suggests that in addition to traditional predictors of survival such as metastatic disease and younger age, patients receiving treatment at an institution that supports Integrative Oncology programs may be associated with improved survival. More work is needed to evaluate the relationship between Integrative Oncology and cancer treatment outcomes.[Table: see text]

scholarly journals Absolute Lymphocyte Count Changes During Neoadjuvant Chemotherapy are Associated with Prognosis of HER2-Positive Breast Cancer Patients

2021 ◽  
Author(s):  
Naoki Miyamoto ◽  
Hiroaki Inoue ◽  
Tomohiro Inui ◽  
Soichiro Sasa ◽  
Mariko Aoyama ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Absolute Lymphocyte Count ◽  
Cox Proportional Hazards ◽  
Breast Cancer Patients ◽  
Her2 Positive ◽  
Her2 Positive Breast Cancer ◽  
Positive Breast Cancer

Abstract Purpose: To investigate the relation of absolute lymphocyte count (ALC) changes during neoadjuvant chemotherapy for human epidermal growth factor receptor-2 (HER2)-positive breast cancer patients and their prognosis.Methods: From January 2010 to December 2019, patients diagnosed with HER2-positive breast cancer and treated with trastuzumab-based neoadjuvant chemotherapy (NAC) were included in this retrospective cohort study. The ALC ratio was Blood cell count estimates before and after NAC were evaluated to calculate the ALC ratio. The optimal cut-off for the ALC ratio was identified using the receiver operating characteristic (ROC) curve analysis and Youden’s index. The relationship between the ALC ratio and disease-free survival (DFS) was measured using the Kaplan–Meier method. Univariate and multivariate analyses were performed using the Cox proportional hazards model.Results: 71 HER2 breast cancer patients were analyzed. The cut-off value of the ALC ratio was decided as 1.109. The median follow-up period was 53.1 (range: 5.1-111.5) months. The high-ALC ratio group showed superior survival rates to the low-ALC ratio group (p=0.0242). The 5-year DFS rates were 89.1% and 63.3% in the high- and low-ALC ratio group, respectively. The ALC ratio was nominated as an independent prognostic factor in multivariate Cox proportional hazards analysis (p=0.0052).Conclusion: HER2-positive breast cancer patients who showed a higher ALC ratio during trastuzumab-based neoadjuvant chemotherapy were associated to better survival.

Clinical significance of brain metastases occurrence in HER2 overexpressing metastatic breast cancer patients treated with trastuzumab

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 10593-10593
Author(s):  
V. Mari ◽  
E. Chamorey ◽  
A. Italiano ◽  
F. Van Den Bos ◽  
R. Ferri-Dessens ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Metastatic Breast Cancer ◽  
Cancer Patients ◽  
Metastatic Breast ◽  
Study Cohort ◽  
Breast Cancer Patients ◽  
Specific Patient ◽  
Study Results ◽  
Significant Difference

10593 Background: Recent data report that HER2 overexpressing metastatic breast cancer patients (HER+ MBC pts) treated with trastuzumab (T) have a high rate of Brain metastasis (BM). This study aimed to evaluate the prognostic significance of BM occurrence and the related clinical outcome in a specific patient population. Methods: All the HER+MBC patients treated with trastuzumab (with or without chemotherapy) between 09/1999 and 12/2004 were included in this study. Results: A total of forty three patients were enrolled into the study cohort. The median follow-up was 48 months (range, 11–166). Fifteen patients (35%) developped BM. The median interval from the the first MBC event to BM was 18 months (range, 1–65). In multivariate analysis; younger age was the only factor associated with BM occurrence (46 versus 57 years; p = 0.01). Patients with BM tend to have a longer median duration of response to T than patients without BM (16 months versus 13 months; p = 0.1). At the time of BM appearance, 6 of the 15 patients (40%) were still responding or had achieved extracranial stable disease while receiving trastuzumab. Twelve out of 15 (80%) pts received a whole-brain radiation therapy, and 8 pts continued to receive trastuzumab until extracranial disease progression. The median overall survival for patients diagnosed with BM was 10 months (range, 2–42). At three-year, there was no significant difference in overall survival rates between the two groups. The 3-YS was 63.5% and 66.7% for pts with or without BM, respectively; (p = 0.7). Conclusions: The BM occurrence in HER2+ MBC pts treated with Trastuzumab is not linked to tumour resistance, but likely related to the T inability to cross the blood-brain barrier. There is no impaired survival for these pts treated with effective and appropriate therapy. [Table: see text]

Genetic variation in CYP19A1 and response to exemestane: Survival in early breast cancer in the Dutch TEAM trial.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10518-10518
Author(s):  
Daniel Houtsma ◽  
Duveken Fontein ◽  
Judith A. M. Wessels ◽  
Caroline M. Seynaeve ◽  
Cock JH van De Velde ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Early Breast Cancer ◽  
Proportional Hazards ◽  
Histological Grade ◽  
Cox Proportional Hazards ◽  
Aromatase Activity ◽  
Breast Cancer Patients ◽  
Tagging Snp ◽  
Cox Proportional Hazards Models

10518 Background: In patients with endocrine-sensitive breast cancer treated with adjuvant aromatase inhibitors (AI) it is unclear which patients will develop a recurrence and who will benefit from AI’s. Variations in the aromatase gene (CYP19A1) are associated with altered estrogen levels and altered aromatase activity. The aim of this study was to examine the effect of SNPs in the CYP19A1 gene on survival in a prospective cohort of breast cancer patients treated with adjuvant exemestane. Methods: Patients of whom tissue was available and who were treated with five years of exemestane were selected from the Tamoxifen Exemestane Adjuvant Multinational (TEAM) trial. DNA was isolated from tumor samples and 30 SNPs were identified using a tagging SNP approach, aiming for 80% coverage of CYP19A1. Genotypes were determined with taqman assays. Primary endpoint of the study was relapse-free survival (RFS) and secondary endpoint was overall survival (OS). A Kaplan-Meier analysis was performed and Cox proportional hazards models assessed survival differences. Analyses were adjusted for age at diagnosis, tumor size, nodal status, histological grade, surgery, adjuvant radiotherapy and chemotherapy. Results: 807 patients were included in the analyses and genotypes were obtained in 722 cases. A significant association with worse RFS was found with two SNPs: rs7176005 and rs16964211, showing hazard ratios (HR) of 3.48 and 5.42 for the homozygeous variant types respectively. These SNPs, as well as a third SNP, rs6493497, were also significantly associated with OS (HR 5.87, 5.3 and 3.36 respectively). Conclusions: Germline variations in the CYP19A1 gene are related to a worse outcome in early breast cancer patients treated with exemestane. These findings may contribute to the individualization of hormonal therapy in breast cancer. The relation between RFS and SNP’s in CYP19A1. [Table: see text]

Prognostic Value of S-Phase Fraction in 920 Breast Cancer Patients: Focus on T1N0 Status

2003 ◽  
Vol 18 (4) ◽  
pp. 273-279 ◽  
Author(s):  
R. Largillier ◽  
M. Namer ◽  
A. Ramaioli ◽  
J.M. Ferrero ◽  
N. Magné ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Tumor Size ◽  
Cox Model ◽  
Univariate Analysis ◽  
S Phase ◽  
Phase Fraction ◽  
Breast Cancer Patients ◽  
Significant Difference

The aim of this study was to reexamine the prognostic role of tumor cell kinetics measured by S-phase fraction (SPF) and to establish its clinically relevant threshold values. SPF was determined by flow cytometry in a group of 920 consecutive breast cancer patients, all followed at our institute for 10 years (1988 to 1998). Mean age was 60.5 years (27–89 years). Median follow-up was 63 months (3–150 months). All patients had initial surgical treatment. SPF quartiles were: Q1=3.08%, median value = 5.98%, Q3=10.22%. A significant difference in overall specific survival was obtained between two populations divided by a cutoff at Q1 (p<0.0001). A multifactorial analysis including SPF and known prognostic factors such as tumor size, node status, histological grade, ER and PR status was performed using the Cox model in a population of 719 patients: univariate analysis showed that each of these factors had significant influence on overall survival. Multivariate analysis selected three of them, ranked by decreasing order of hazard ratio (HR) value: SPF (HR: 3.88, p<0.001), tumor size (HR: 2.49, p<0.001) and nodal status (HR: 2.28, p<0.001). In addition, when tumors were stratified according to SPF quartile values, there were statistically different overall survival curves in patients with small tumors (<2 cm) and in axillary node-negative patients.

PD-L1 expression on circulating tumor cells and prognosis of breast cancer patients.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14028-e14028 ◽  
Author(s):  
Xuefei Wang ◽  
Guochao Zhang ◽  
Qiang Sun
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Clinicopathological Features ◽  
Cox Proportional Hazards Model ◽  
High Expression ◽  
Breast Cancer Patients ◽  
Low Expression

e14028 Background: Nowadays programmed cell death (ligand) 1 (PD1/PD-L1) inhibitors in the clinic show benefit for appropriate patient. There are clinical trials for specific breast cancer patients. We all know that the prognosis of breast cancer is associated with CTC. However, PD-L1 expression on circulating tumor cells (CTC) is lack of research. It is crucial for the prediction and supervision of molecular-targeted therapy, while the predictive biomarker response to PD(-L)1 checkpoint inhibitors is lacking. So we tried to explore the relationship between overexpression of PD-L1 on CTCs and prognosis and clinicopathological features of breast cancer patients. Methods: We analyzed CTC and PD-L1 mRNA expression on CTC in 20 primary breast cancer patients, through mRNA probe hybridization. The relationship between clinicopathological features and PD-L1 expression on CTC was analyzed by chi square test. Kaplan-Meier and univariate Cox proportional hazards model analyses were used to compare the survival of patients with high PD-L1 expression and patients with low PD-L1 expression. Results: The median follow-up time was 40 months (range, 36-43 months). Of the 20 patients, 15 had more than 1 CTC in 7.5ml peripheral blood. Among the 15 patients, each one has at least 1 CTC showing PD-L1. The expression of PD-L1 on CTC was divided into low expression, medium expression and high expression, then we gave 1 score for low expression, 2 score for medium expression and 3 score for high expression. PD-L1 high expression was total score≥3, while PD-L1 low expression was total score ＜ 3. We found PD-L1 expression on CTC is related to the tumor size(P = 0.012) lymph node status (P = 0.001) and PR status (P = 0.037). There was significant difference between T2 and T3 in large tumor group(P = 0.003), while in node status group statistical difference can be found in N1 vs N3(P = 0.000) and N2 vs N3(P = 0.015). Our data indicated that patients with high PD-L1 expression on CTC had poor overall survival(P = 0.004) compared to low PD-L1 expression on CTC (Table). Univariate Cox proportional hazards model analysis showed that high PD-L1 expression on CTC was an independent prognostic factor. Conclusions: PD-L1 on CTC is indeed associated with some poor clinicopathological features. High expression of PD-L1 on CTC is an independent prognostic factor for shorter survival. [Table: see text]

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