Improved prognosis of young patients with breast cancer undergoing breast-conserving surgery

BACKGROUND

The aim of the present study was to evaluate how breast cancer prognosis has evolved over time in young women treated with breast-conserving surgery (BCS).

METHODS

Data from patients younger than 40 years who had BCS and whole-breast radiotherapy in a single cancer centre between 1997 and 2010 were analysed. The patients were followed until 2016. Endpoints were local recurrence, any breast cancer-related event and death from any cause.

RESULTS

A total of 1331 patients were included in the study. After a median follow-up of 9·3 years, 114 local recurrences, 289 breast cancer-related events and 138 deaths had occurred. Women were divided into three groups of similar size based on tertiles of the date of diagnosis: 1997-2002 (524 patients), 2003-2005 (350) and 2006-2010 (457). The risk of local recurrence was 1·42 per 100 person-years in women diagnosed in the first interval, 0·85 per 100 person-years in the second and 0·48 per 100 person-years in the third (P for trend = 0·028). The respective values were 3·01, 2·52 and 2·07 per 100 person-years for any breast cancer-related event (P = 0·004), and 1·59, 1·22 and 0·64 per 100 person-years for death (P = 0·003). Each passing year was associated with a decreasing risk of local recurrence (hazard ratio (HR) 0·93, 95 per cent c.i. 0·87 to 1·00), any breast cancer-related event (HR 0·94, 0·91 to 0·98) and death (HR 0·89, 0·83 to 0·94). A major improvement in prognosis was observed after 2005, when the classification of breast cancer molecular subtypes and use of trastuzumab were implemented in routine clinical practice.

CONCLUSION

In the past two decades, both local control and overall prognosis have improved significantly in young women (aged less than 40 years) with breast cancer who undergo BCS.

Abstract P6-09-17: Evaluation of a risk score based on biologic factors to enhance prognostic stratification by the American Joint Committee on Cancer (AJCC) Staging System

Background: The 7th edition AJCC staging system provides prognostic information based on the anatomic extent of disease determined by the tumor size (T), lymph node status (N), and presence or absence of metastatic disease (M). Tumor biology, including grade, estrogen receptor (ER) status and HER2 status, which are known to have prognostic and predictive value, are not incorporated. This study was undertaken to evaluate a risk score that takes into account the tumor grade and other biomarkers that can be added to the current anatomic TNM staging system to improve stratification of patients with respect to disease specific survival (DSS) and overall survival (OS).

Methods: A prospectively maintained database was used to identify 3,327 patients with non-metastatic invasive breast cancer who underwent surgery as a first intervention from January 2007 through December 2013. Clinicopathologic data were recorded including: age, grade, ER status, HER2 status, and pathologic stage. Pathologic stage was determined according to the 7th edition of the AJCC staging guidelines. ER status was recorded as the percentage of cells staining positive by immunohistochemistry (IHC). Prior to 2010, tumors were classified as ER positive if there was >10% staining. A cut-off of 1% was used for patients treated after 2010, consistent with the change in American Society of Clinical Oncology (ASCO) guidelines. HER2 status was defined as positive if 3+ on immunohistochemistry or gene amplification was shown on fluorescence in situ hybridization. A risk score was calculated by assigning one point for each of the following tumor characteristics: ER-negative status, HER2 negative status and grade 3. Univariate survival analyses according to AJCC stage (I, IIA, IIB, IIIA and IIIC) and risk score (0-3) were performed for DSS and OS using the Kaplan Meier method.

Results: Median follow-up time was 5.0 years (range, 0.1 to 8.8). Five year DSS for the entire cohort was 97.9% (95% CI: 97.3%-98.4%). The distribution in risk score in the entire cohort was: risk score 0=81 (2.4%), 1=2289 (68.8%), 2=683 (20.5%), and 3= (8.3%). As shown in the table, for all AJCC stages, the 5-yr DSS and 5-yr OS varied according to risk score (p<.01).

StageRisk Scoren5-yr DSS (%)95% CI5-yr OS (%)95% CII (IA and IB)036100 9780.4-99.6 1117399.498.7-99.796.795.4-97.6 227498.896.4-00.694.691.0-06.8 311996.691.1-98.793.887.5-97.0IIA031100 96.879.2-99.5 163499.497.5-99.897.194.7-98.4 223697.593.2-99.194.188.7-97.0 39891.081.8-95.788.278.5-93.8IIB011100 100  130996.992.6-98.894.689.6-97.2 210792.983.6-97.189.380.1-94.4 34091.575.6-97.291.575.6-97.2IIIA03100 100  113498.388.2-99.891.582.6-96.0 25092.277.2-97.590.375.7-96.3 3768.621.3-91.268.621.3-91.2IIIC00     13992.272.1-98.084.463.7-93.9 21680.851.4-93.480.851.4-93.4 31033.36.3-64.633.36.2-64.6

Conclusion: The current study demonstrates that incorporating the risk score with current AJCC staging significantly improves the ability to stratify breast cancer patients with respect to DSS and OS. We recommend that the risk score be incorporated into the forthcoming revision of the AJCC staging system.

Citation Format: Mittendorf EA, Vila J, Yi M, Chavez-MacGregor M, Chen RL, Giordano SH, Hunt KK. Evaluation of a risk score based on biologic factors to enhance prognostic stratification by the American Joint Committee on Cancer (AJCC) Staging System [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-09-17.

Head movement measurement: An alternative method for posturography studies

The present study evaluated the measurement of head movements as a valid method for postural emotional studies using the comparison of simultaneous recording of center of pressure (COP) sway as criterion. Thirty female students viewed a set of 12 pleasant, 12 unpleasant and 12 neutral pictures from the International Affective Picture System, repeated twice, using a block presentation procedure while standing on a force platform (AMTI AccuSway). Head movements were recorded using a webcam (©KPC139E) located in the ceiling in line with the force platform and a light-emitting diode (LED) placed on the top of the head. Open source software (CvMob 3.1) was used to process the data. High indices of correlation and coherence between head and COP sway were observed. In addition, pleasant pictures, compared with unpleasant pictures, elicited greater body sway in the anterior-posterior axis, suggesting an approach response to appetitive stimuli. Thus, the measurement of head movement can be an alternative or complementary method to recording COP for studying human postural changes.

Development of a new protocol for rapid bacterial identification and susceptibility testing directly from urine samples

The current gold standard method for the diagnosis of urinary tract infections (UTI) is urine culture that requires 18-48 h for the identification of the causative microorganisms and an additional 24 h until the results of antimicrobial susceptibility testing (AST) are available. The aim of this study was to shorten the time of urine sample processing by a combination of flow cytometry for screening and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) for bacterial identification followed by AST directly from urine. The study was divided into two parts. During the first part, 675 urine samples were processed by a flow cytometry device and a cut-off value of bacterial count was determined to select samples for direct identification by MALDI-TOF-MS at ≥5 × 10(6) bacteria/mL. During the second part, 163 of 1029 processed samples reached the cut-off value. The sample preparation protocol for direct identification included two centrifugation and two washing steps. Direct AST was performed by the disc diffusion method if a reliable direct identification was obtained. Direct MALDI-TOF-MS identification was performed in 140 urine samples; 125 of the samples were positive by urine culture, 12 were contaminated and 3 were negative. Reliable direct identification was obtained in 108 (86.4%) of the 125 positive samples. AST was performed in 102 identified samples, and the results were fully concordant with the routine method among 83 monomicrobial infections. In conclusion, the turnaround time of the protocol described to diagnose UTI was about 1 h for microbial identification and 18-24 h for AST.

Abstract P5-08-04: Bioscore: A novel staging system for breast cancer patients receiving neoadjuvant chemotherapy

Background: We previously described a novel breast cancer staging system, the CPS+EG score, which incorporates pretreatment clinical stage, post-treatment pathologic stage, estrogen receptor (ER) status and nuclear grade to create an ordinal scale that is predictive of disease-specific survival (DSS) after receipt of neoadjuvant chemotherapy. The prior work predated (1997-2005) routine use of trastuzumab for patients with HER2+ disease. The current study was undertaken to update the staging system with a more contemporary cohort of patients to include patients with HER2+ disease receiving trastuzumab. The impact of using 1% as the cutoff for ER-positivity was also assessed.

Methods: A cohort of 2377 patients treated with neoadjuvant chemotherapy from 2005-2012 was identified. Clinicopathologic characteristics, treatment regimens and patient outcomes were recorded. Patient scores were computed using two versions of the CPS+EG staging system with ER status categorized as positive if >10% or if >1%. Fits of the Cox proportional hazards (PH) model for the two sets of prognostic scores were compared using the Akaike Information Criterion (AIC). HER2 status was then added to the model and the likelihood ratio test was used to determine the improvement in fit.

Results: Median follow-up time was 4.2 years (range, 0.5 to 11.7). Five year DSS was 89% (95% CI: 87%-90%). This cohort validated our previous finding that the CPS+EG score facilitates more refined categorization into prognostic subgroups than initial clinical or final pathologic stage alone (table). The AIC demonstrated that the CPS+EG model fits were nearly identical for ER status categorized using either cutoff, though the fit was slightly better for the >1% cutoff. There were 591 HER2+ patients included; all of them received trastuzumab-based chemotherapy. The improvement in the fit of the model when HER2 status was added was highly significant (p=0.00005) and incorporation of HER2 into the CPS+EG staging system by adding one additional point for HER2-negative status defined the bioscore (table) which again stratified patients with respect to prognosis.

Conclusion: The current study demonstrates a novel bioscore that significantly improves a previously validated prognostic score in patients receiving neoadjuvant chemotherapy and allows the staging system to be applied to patients with HER2+ disease. We recommend that biologic markers and response to treatment be incorporated into the forthcoming revision of the AJCC staging system.

Clinical Stage5-yr DSS (95%CI)Pathologic Stage5-yr DSS (95%CI)CPS+EG Score (1% cutoff for ER+)5-yr DSS (95%CI)Bioscore5-yr DSS (95%CI)0 097% (95-98%)098% (92-100%)097% (78-10)%)IA96% (75-99%)IA95% (92-97%)198% (96-99%)199% (95-100%)IIA96% (94-97%)IB90% (76-98%)294% (91-95%)297% (95-98%)IIB90% (87-92%)IIA91% (87-94%)387% (84-90%)393% (90-95%)IIIA85% (80-89%)IIB86% (81-90%)475% (69-80%)486% (82-89%)IIIB78% (70-85%)IIIA80% (75-84%)552% (40-63%)571% (64-77%)IIIC76% (70-81%)IIIB64% (42-80%)60648% (35-60%) IIIC64% (55-72%)   70

Citation Format: Mittendorf EA, Vila J, Tucker SL, Chavez-MacGregor M, Smith BD, Symmans WF, Sahin AA, Hortobagyi GN, Hunt KK. Bioscore: A novel staging system for breast cancer patients receiving neoadjuvant chemotherapy. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-08-04.

The Recipients' Parity Does Not Influence Their Reproductive Performance Following Non-Surgical Deep Uterine Porcine Embryo Transfer

With the development of the non-surgical deep uterine (NsDU) embryo transfer (ET) technology, the commercial applicability of ET in pigs is now possible. There are, nevertheless, many factors that influence NsDU-ET effectiveness that need to be addressed. The aim of this study was to evaluate the effects of the weaned recipients' parity on fertility and prolificacy following NsDU-ET. The recipients (n = 120) were selected based on their reproductive history and body condition and grouped into three categories according to their parity: primiparous sows, sows of parity 2 and sows of parities from 3 to 5. Thirty fresh embryos (morulae and unhatched blastocysts) were non-surgically transferred into one uterine horn of each recipient. It was possible to insert the NsDU-ET catheter through the cervix along a uterine horn in 98.3% of the recipients. The parity had no influence on the difficulty grade of the insertions or on the percentage of correct insertions. The cervix and uterine wall were not perforated during the insertions, and vaginal discharge was not observed after transfer in any of the recipients. There were no differences in the pregnancy rates (74.8%), farrowing rates (71.2%) or litter sizes (9.6 ± 3.3) between groups. Also, there were no differences between groups regarding to the piglets' birthweights or piglet production efficiency. In conclusion, these results demonstrate that weaned sows from parity 1 to 5 are appropriate to be used as recipients in NsDU-ET programs, which increase the possibilities for the utilization of ET in the recipient farms.

Two-step partial nitritation/Anammox process in granulation reactors: Start-up operation and microbial characterization

A two-stage Partial Nitritation (PN)/Anammox process was carried out at lab-scale conditions to treat reject water from a municipal WWTP. PN was achieved in a granular SBR obtaining an effluent with a NH4(+)-N/NO2(-)-N molar ratio around 1.0. The microbial characterization of this reactor revealed a predominance of Betaproteobacteria, with a member of Nitrosomonas as the main autotrophic ammonium oxidizing bacterium (AOB). Nitrite oxidizing bacteria (NOB) were under the detection limit of 16S rRNA gene pyrosequencing, indicating their effective inhibition. The effluent of the PN reactor was fed to an Anammox SBR where stable operation was achieved with a NH4(+)-N:NO2(-)-N:NO3(-)-N stoichiometry of 1:1.25:0.14. The deviation to the theoretical stoichiometry could be attributed to the presence of heterotrophic biomass in the Anammox reactor (mainly members of Chlorobi and Chloroflexi). Planctomycetes accounted for 7% of the global community, being members of Brocadia (1.4% of the total abundance) the main anaerobic ammonium oxidizer detected.

Automated categorization of methicillin-resistant Staphylococcus aureus clinical isolates into different clonal complexes by MALDI-TOF mass spectrometry

Early identification of methicillin-resistant Staphylococcus aureus (MRSA) dominant clones involved in infection and initiation of adequate infection control measures are essential to limit MRSA spread and understand MRSA population dynamics. In this study we evaluated the use of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF/MS) for the automated discrimination of the major MRSA lineages (clonal complexes, CC) identified in our hospital during a 20-year period (1990-2009). A collection of 82 well-characterized MRSA isolates belonging to the four main CCs (CC5, CC8, CC22 and CC398) was split into a reference set (n = 36) and a validation set (n = 46) to generate pattern recognition models using the ClinProTools software for the identification of MALDI-TOF/MS biomarker peaks. The supervised neural network (SNN) model showed the best performance compared with two other models, with sensitivity and specificity values of 100% and 99.11%, respectively. Eleven peaks (m/z range: 3278-6592) with the highest separation power were identified and used to differentiate all four CCs. Validation of the SNN model using ClinProTools resulted in a positive predictive value (PPV) of 99.6%. The specific contribution of each peak to the model was used to generate subtyping reference signatures for automated subtyping using the BioTyper software, which successfully classified MRSA isolates into their corresponding CCs with a PPV of 98.9%. In conclusion, we find this novel automated MALDI-TOF/MS approach to be a promising, powerful and reliable tool for S. aureus typing.

The global threat of antimicrobial resistance: science for intervention

In the last decade we have witnessed a dramatic increase in the proportion and absolute number of bacterial pathogens resistant to multiple antibacterial agents. Multidrug-resistant bacteria are currently considered as an emergent global disease and a major public health problem. The B-Debate meeting brought together renowned experts representing the main stakeholders (i.e. policy makers, public health authorities, regulatory agencies, pharmaceutical companies and the scientific community at large) to review the global threat of antibiotic resistance and come up with a coordinated set of strategies to fight antimicrobial resistance in a multifaceted approach. We summarize the views of the B-Debate participants regarding the current situation of antimicrobial resistance in animals and the food chain, within the community and the healthcare setting as well as the role of the environment and the development of novel diagnostic and therapeutic strategies, providing expert recommendations to tackle the global threat of antimicrobial resistance.

In vitro selection of mutants resistant to ozenoxacin compared with levofloxacin and ciprofloxacin in Gram-positive cocci

OBJECTIVES

To determine the frequency of selecting mutants resistant to ozenoxacin, a des-fluoro-(6)-quinolone active against pathogens involved in skin and skin structure infections, compared with levofloxacin and ciprofloxacin in quinolone-susceptible and -resistant Gram-positive cocci.

METHODS

Forty-nine quinolone-susceptible and -resistant Gram-positive cocci strains with different profiles of mutations in the quinolone resistance-determining region (QRDR) were examined to determine the frequency of selecting mutants resistant to ozenoxacin compared with levofloxacin and ciprofloxacin. MICs and mutations in the QRDR were determined by standard broth microdilution and PCR amplification and sequencing, respectively.

RESULTS

The mean resistance rates were 3.8 × 10(-9) (range <9 × 10(-11)-1 × 10(-8)) for ozenoxacin, 9.7 × 10(-9) (range <1.1 × 10(-11)-4.2 × 10(-8)) for levofloxacin and 1.2 × 10(-8) (range <1.6 × 10(-10)-2.6 × 10(-7)) for ciprofloxacin. Spontaneous mutants resistant to ozenoxacin showed lower MICs (≤ 16 mg/L) than mutants resistant to levofloxacin and ciprofloxacin (≤ 512 mg/L). Additional mutations were observed only in ParC at Ser-80 in Staphylococcus spp., Ser-79 in Streptococcus agalactiae and Asp-83 and Ser-89 in Streptococcus pyogenes.

CONCLUSIONS

The probability of ozenoxacin selecting spontaneous resistant mutants in quinolone-susceptible and -resistant strains with pre-existing mutations in the QRDR is low, supporting the potential utility of ozenoxacin as a therapeutic alternative in the treatment of skin infections caused by strains highly resistant to quinolones.

Monotherapy versus combination therapy for sepsis due to multidrug-resistant Acinetobacter baumannii: analysis of a multicentre prospective cohort

BACKGROUND

Treatment of multidrug-resistant Acinetobacter baumannii (MDRAB) infection presents a challenge because of the scarcity of available options. Even though combination therapy (CT) is frequently used in clinical practice, data are needed to support its use instead of monotherapy (MT).

METHODS

A prospective observational study was conducted in 28 Spanish hospitals. Patients with sepsis caused by MDRAB, defined according to strict criteria, and who received active antibiotic treatment (according to in vitro susceptibility testing) for at least 48 h, were included. The main outcome variable was all-cause 30 day mortality after initiation of targeted therapy. Multivariate analysis, including a propensity score (for receiving CT), was performed by Cox regression.

RESULTS

One hundred and one patients were included in the analysis; 68 (67.3%) received MT and 33 (32.7%) received CT. Pneumonia was the most common infection (50.5%), 68.6% of cases being associated with mechanical ventilation. Colistin (67.6%) and carbapenems (14.7%) were the most common drugs used in MT; colistin plus tigecycline (27.3%) and carbapenem plus tigecycline (12.1%) were the most frequent combinations. Crude 30 day mortality was 23.5% and 24.2% for the MT and CT groups, respectively (RR = 1.03; 95% CI 0.49-2.16; P = 0.94). Multivariate analysis of 30 day survival showed no trend towards reduced 30 day mortality with CT (HR = 1.35; 95% CI 0.53-3.44; P = 0.53). Subgroup analysis showed similar results.

CONCLUSIONS

Our data do not support an association of CT with reduced mortality in MDRAB infections. More data for specific types of infection and combinations are needed.