Dueck, Amylou C.

6116 Background: Analyses of patient-reported outcomes rely on the dependability of patients to complete and submit assessments in a timely manner – not all data is obtained. In recent work focusing on quality of life (QOL) data and imputation, it has been found that most methods do not alter study results. But how much data can be missing before study results are affected? Methods: Missing data was investigated using a 2-arm study (109 patients) who completed Linear Analogue Self Assessments at 4 intervals. Patients (11%) had missing data at the second interval. Existing data was analysed for differences in scores between arms, then cases were randomly deleted to create increasing percentages (12%-20%) of missing data. Ten simulations were conducted per percent. Imputation methods applied were carrying forward the last value (LVCF), average value (AVCF), and maximum value (MVCF). Student’s t-tests were performed between arms for each simulation. Results: Imputation did not alter results of our study data which was statistically significant (SS) between arms for overall QOL (p=0.036) and spiritual well-being (SWB) (p=0.006), and not statistically significant (NS) for mental well-being (MWB) (p=0.174). After data deletion and t-test calculations, AVCF did not impact results. For overall QOL, data deletion changed the p-value to NS in 1 of 10 simulations starting at 12% missing data and 5 of 10 simulations starting at 16% missing data. No matter what percentage of missing data, imputation produced a SS p-value over 80% of the time. Data deletion and subsequent imputation did not affect the study decision for SWB. For MWB, all differences between arms were NS prior to imputation. After imputation, there was at most a 7% disagreement in conclusions. LVCF and MVCF performed equally in all simulations. Conclusions: For this particular study, when p-values are close to the study-defined alpha, the increase in missing data can change the study results and imputation methods are more likely to determine SS differences. The further the p-values are from the study alpha, there is little effect from increasing missing data or applying imputation. These results are for one particular study and further research is needed. No significant financial relationships to disclose.

523 Background: Adjuvant trastuzumab (Herceptin [H]) with chemotherapy improves outcome in HER2+ breast cancer (BC). Preclinical studies suggest H may enhance RT. We herein assess if H given with adjuvant RT increases adverse events (AE) after breast conserving surgery or mastectomy. Methods: N9831 randomized 3505 women with pT1–3N1–2M0, pT2–3N0M0, or pT1cN0M0 (ER/PR negative) HER2+ BC to doxorubicin (A) and cyclophosphamide (C) followed by weekly paclitaxel (T), AC→T→H, or AC→TH→H. Post-lumpectomy breast ± nodal RT was recommended, as was post-mastectomy chest wall + nodal RT (>3 nodes +); internal mammary RT was prohibited. RT started within 5 weeks of completion of T and allowed concurrently with H. 2324 eligible patients were enrolled on study prior to April 25, 2004: 1460 patients receiving RT are available for analysis of RT-associated AEs. Also, 1286 patients on +H arms who completed T (908 +RT and 378 -RT) are available for analysis of clinical cardiac events (CE). Rates of RT-associated AEs were compared across treatment arms, and rates of CE were compared for +RT vs -RT patients within +H arms. All reported p-values are for chi-squared statistics. Results: With a median follow-up of 1.5 years, significant differences among arms in RT-associated AEs were not identified. No significant differences across arms in +RT patients existed in the incidence of skin reaction (p=0.78), pneumonitis (p=0.78), dyspnea (p=0.87), cough (p=0.54), esophageal dysphagia (p=0.26), or neutropenia (p=0.16). There was a significant difference in +RT patients in the incidence of leukopenia (p=0.02) with higher incidence rates in the arms receiving H. RT did not increase the frequency of CE. In the AC→T→H arm, the incidence of CE was 2.2% in +RT patients versus 2.9% in -RT patients. In the AC→TH→H arm, the incidence of CE was 1.5% in +RT patients versus 6.3% in -RT patients. No difference in CE was seen between left- and right-sided RT fields in +RT patients in either +H arm. Conclusion: Concurrent administration of adjuvant RT with H in early stage breast cancer patients is not associated with an increased incidence of acute RT AEs. Further follow-up is required to assess late AEs. No significant financial relationships to disclose.

9005 Background: Hot flashes can be a major problem in men with prostate cancer; effective non-hormonal options are needed. Methods: A four-arm, double-blinded, placebo-controlled randomized trial was developed to evaluate gabapentin for hot flashes. Men with bothersome hot flashes (at least 14/week) related to androgen deprivation therapy were randomized to receive either a placebo or gabapentin doses of 300 mg qd, 300 mg bid or 300 mg tid; men were treated for 4 weeks. Hot flashes numbers and scores (hot flash number times mean severity) were measured using a validated daily hot flashes diary. A one-week baseline period preceded initiation of study tablets. The primary endpoint was the average intrapatient difference in hot flash score between baseline and treatment termination. With the planned sample size of 50 evaluable patients per arm, the study provided 80% power to detect a difference in change from baseline at 4 weeks between each gabapentin arm and the placebo arm of 1.3 hot flashes per day or 3.3 points in hot flash score. Results: 223 patients were randomized between 12/21/2001 and 11/10/2006. The study arms were well balanced. The following table illustrates the percentage of baseline hot flash scores and frequencies during the fourth treatment week, compared to the baseline week for 179 eligible patients, utilizing the data available at time of this abstract preparation. Patients receiving 900 mg/d dose of gabapentin also reported significantly less hot flash distress and more hot flash control satisfaction than did the placebo group. The gabapentin was remarkably well tolerated, without any statistically significantly worse patient-reported side effects on the gabapentin arms. Conclusion: Gabapentin at the 900 mg/d dose can reduce hot flashes, in men receiving androgen deprivation therapy for prostate cancer. No significant financial relationships to disclose. [Table: see text]

612 Background: The adoption of new breast surgical techniques has been rapid for early stage breast cancer. The utilization of these techniques in patients with high risk operable breast cancer has not been thoroughly investigated. Methods: Retrospective surgical data was summarized for patients entered into N9831 “Phase III Trial of Doxorubicin and Cyclophosphamide Followed by Weekly Paclitaxel With or Without Trastuzumab as Adjuvant Treatment for Women With HER-2 Over-expressing or Amplified Node Positive or High-Risk Node Negative Breast Cancer.” Results: 3,505 patients were entered into N9831 from 2000–2005 following primary surgery for breast cancer. The median age was 50 and 43% were premenopausal. 93% of patients underwent a diagnostic biopsy prior to their definitive surgical procedure. Whether HER2-neu status was available at time of definitive surgery is unknown. 61% underwent a mastectomy whereas 39% underwent breast conserving surgery (BCS). The rate of BCS was relative stable over the course of the trial. Patients with T1 tumors had a higher rate of BCS (49%) compared to T2 tumors (37%) and T3 tumors (6%). Sentinel lymph node (SLN) biopsy was performed in 54% of the cases. The rate of SLN biopsy increased from 40% in 2000 to 66% in 2005. Patients who underwent mastectomy had a lower rate of SLN biopsy than patients who underwent BCS (44% versus 71%, respectively). Tumor size was also associated with the rate of SLN biopsy: T1 (60%), T2 (53%), and T3 (36%). Data on local and regional recurrences are still maturing. Conclusions: Surprisingly, low numbers of patients on this trial underwent BCS whereas the adoption of the SLN biopsy procedure among the same group of surgeons was relatively high. The relatively low rate of BCS in this study population needs further investigation to determine what surgeon and patient factors impacted the surgical decision. No significant financial relationships to disclose.

576 Background: In node-negative, ER + breast cancer, gene expression profiling can identify level of risk and, in the case of ODX, may also identify pts with a higher chance of benefiting from adjuvant chemotherapy. Because the gene profile in ODX includes an assessment of ER, HER2, and proliferation, we hypothesized that clinicians using standardized criteria could discriminate risk (high versus low/intermediate) as specified by ODX. Methods: We identified Mayo Clinic patients with node-negative, ER + breast cancer, for whom ODX scores were available. Tumor slides were reviewed by an expert breast pathologist to confirm tumor size, histology, and tumor grade. Both ER and PR were quantitated; HER-2 was determined by IHC (FISH, if 2+). These clinical cases were presented to six academic oncologists, blinded to the ODX score, to predict ODX risk (low, intermediate, or high) and give their recommendation for chemotherapy (CTX) (yes/no). Afterwards, they were presented with the same cases with the actual ODX score, to give recommendations regarding CTX. Results: ODX scores in tumors from 31 patients were low in 18 pts, intermediate in 10 pts, and high in 3 pts. Concordance between predicted and actual ODX scores being low/intermediate vs high exceeded 87% for each oncologist. The most frequent discrepancies were actual low scores predicted as intermediate (31/80 discordant) and actual intermediate scores predicted as low (29/80 discordant). Overall agreement of predicted scores (high vs low/intermediate) among the oncologists was substantial (kappa=0.75, p<0.0001). CTX recommendations following provision of the ODX scores changed on average 18.2% (range 12.9%-25.8%) of the time, with slightly fewer changing for, versus against, a CTX recommendation. Conclusions: Our findings suggest that the proper evaluation and interpretation of traditional prognostic criteria will identify most node negative, ER + patients at high risk of recurrence (as predicted by ODX) but poorly discriminate low versus intermediate risk. The provision of ODX data changed the recommendation for CTX in approximately 20% of cases. No significant financial relationships to disclose.

Treatment of polycythemia vera (PV) with the Murine Double Minute 2 (MDM2) antagonist, idasanutlin, in a phase 1 trial was reported by our group to be well tolerated with a high overall response rate (Mascarenhas et al, Blood. 2019 Jun 5). A global, phase 2 trial is currently underway evaluating idasanutlin in hydroxyurea (HU) resistant/intolerant PV patients (NCT03287245). MDM2, a negative regulator of TP53 is upregulated in PV CD34+ cells and inhibition of MDM2 targets PV hematopoietic stem/progenitor cells (HSPC) (Lu et al, Blood. 2014;124(5):771-90). Additional trials of MDM2 antagonists have shown promise, however, there is concern that these agents have the potential to induce TP53 mutations or promote expansion of TP53 mutated clones. Resistance to MDM2 inhibitors has been evaluated in solid tumor cell lines and attributed to either the emergence of de novoTP53 mutations or the selection of TP53 mutated clones. (Michaelis et al, Cell Death Dis. 2011;2:e243; Skalniak et al, Cancers. 2018;10(11)). The effect of MDM2 inhibition on TP53 mutant clones is of particular interest in myeloproliferative neoplasms (MPNs). TP53 mutations have been reported with a low allele burden in ~15% of chronic MPN patients (Kubesova et al, Leukemia. 2018;32(2):450-61), however, TP53 loss of heterozygosity and rapid expansion of TP53 mutant clones is associated with transformation to blast phase (Lundberg et al, Blood 2014,123:2220-8). As reported, in the idasanutlin PV trial, 1/13 patients were identified to have a baseline pathogenic TP53 mutation in hematopoietic cells (VAF 5.5%), using a deep sequencing assay with a limit of detection (LOD) of VAF 0.5%. This patient was a non-responder to idasanutlin and upon treatment had an increasing JAK2V617F and TP53 mutant VAF. End of study hematopoietic cell specimens of all patients were deep sequenced (LOD 0.1%) and revealed that 4 additional patients harbored detectable TP53 mutations after idasanutlin treatment with VAF ranging from 1-12%. In each sample, 1-5 unique TP53 mutations were identified, all within the hotspot domain of the TP53 gene. Deeper sequencing of baseline and follow-up samples revealed these mutations were present at a subclonal level (VAF 0.1-5.5%) and increased over time, indicating that treatment with the MDM2 antagonist promoted expansion of already existing TP53 mutant clones (Table 1, Figure 1). None of the patients who lacked a TP53 mutation at baseline developed a TP53 mutant clone with idasanutlin treatment. There was no clear association of presence of TP53 mutations with prior HU, anagrelide or interferon exposure. There has been careful monitoring of patients to determine whether the expanding TP53 clone has clinical ramifications. Patients were on study for a median of 54 weeks (23-131). The only patient who exemplified resistance to idasanutlin was the single patient with a high burden TP53 mutation (37%). All other patients were taken off study due to patient choice/toxicity. Furthermore, all TP53 mutant and non-mutant patients have had stable disease with no evidence of progression to MF or AML. Sequencing of 2 patients post-discontinuation of idasanutlin revealed that the VAF of the TP53 mutant clones decreased since the agent was discontinued. Updated patient molecular data post-treatment discontinuation will be reported at the meeting. To investigate whether idasanutlin induces de novo TP53 mutations in PV myeloid cells we performed long term HSPC cultures. Mononuclear cells from 6 distinct PV patients were treated continuously with idasanutlin (500 nM) over ~6 weeks and DNA from both treated and untreated colonies were analyzed using next generation sequencing with a LOD of 2% VAF and no TP53 mutations were detected. The combined in vitro and clinical data reveals that treatment with an MDM2 antagonist is not associated with the emergence of de novoTP53 mutations but rather the expansion of prior existing TP53 clones. This does not appear to have clinical repercussions, however, close monitoring of these patients is essential. We recommend that patients be screened for TP53 mutations prior to treatment with an MDM2 antagonist and that if present the TP53 mutant VAF be followed during their treatment course. Resistance to MDM2 inhibition is likely dependent on the TP53 mutant VAF and further studies will need to clarify the ideal dosing schedule of MDM2 antagonists and/or combinatorial therapy to prohibit TP53 mutant clonal expansion. Disclosures Houldsworth: Cancer Genertics: Other: stock in; Sema4: Employment. Rossi:Sema4: Employment. Kiladjian:AOP Orphan: Honoraria, Research Funding; Celgene: Consultancy; Novartis: Honoraria, Research Funding. Rampal:Agios, Apexx, Blueprint Medicines, Celgene, Constellation, and Jazz: Consultancy; Constellation, Incyte, and Stemline Therapeutics: Research Funding. Mascarenhas:Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Roche: Consultancy, Research Funding; Merck: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; CTI Biopharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; Promedior: Research Funding; Merus: Research Funding; Pharmaessentia: Consultancy, Membership on an entity's Board of Directors or advisory committees. Hoffman:Merus: Research Funding.

Introduction: With the expanding use of CAR-T cell therapy, which is associated with serious adverse effects (AEs), there is a need to characterize the patient's experience over time to guide patient/provider education, and help optimize symptom management. This study reports on longitudinal evaluation of patient-reported quality of life (QOL) and symptom burden of CAR-T cell therapy compared with established forms of cellular therapy i.e autologous stem cell transplant (autoSCT) and allogeneic SCT (alloSCT). Methods: Patients with hematologic malignancies were prospectively recruited in three cohorts: CAR-T, autoSCT and alloSCT. The primary endpoint was change in QOL from baseline, using the FACT-G questionnaire. Secondary endpoints were patient-reported AEs (PRO-AEs) using 7 items from the PRO-CTCAE and assessment of cognition/memory using the NeuroQOLv2 questionnaire. PRO-CTCAE data was graded using a composite score (combining frequency, severity, and interference) and rates, using a method adjusting for pre-existing baseline symptoms, were compared using Fisher's exact test. We also evaluated the time profile of PRO-AEs using the Toxicity over Time (ToxT) approach, a longitudinal approach to AE analysis (Thanarajasingam Lancet Onc 2016). Patients completed questionnaires at baseline, week 2 and monthly thereafter. Results: From 07/2018 to 06/2019, 93 patients were recruited (CAR-T: 20; autoSCT: 37; alloSCT: 36). At data cut-off, week 2 and months 1, 2 and 3 data were available in 74, 62, 46 and 35 patients, respectively. There was no difference in patient age across the 3 groups (median age 63, range 23-77; p=0.26). Baseline QOL by FACT-G total score (mean=83.4, SD=14.7; p=0.77), side effect bother by FACT-G GP5 (66/93 [71%] a little bit or less; p=0.72), activities and function (70/93 [75%] fairly normal activities or no limitations; p=0.68) and cognition by NeuroQOL t-score (mean=52.2, SD=8.13; p=0.39) were similar across 3 groups at baseline. The CAR-T group experienced significantly less worsening in QOL (FACT-G) than both autoSCT and alloSCT groups (Fig. 1a). Worsening in overall QOL nadired at week 2, after which QOL gradually returned to baseline in all groups. When comparing changes from baseline in overall QOL, statistically significant differences between groups were evident at week 2 (CAR-T vs autoSCT p&lt;0.001; vs alloSCT p&lt;0.001), month 1 (CAR-T vs autoSCT p=0.02; vs alloSCT p=0.003), month 2 (CAR-T vs autoSCT p=0.02; vs alloSCT p=0.001) and month 3 (CAR-T vs autoSCT p=NS; vs alloSCT p=0.03). Results for physical (Fig. 1b) and functional well-being (WB) were similar, with significantly less QOL worsening at week 2 in CAR-T vs autoSCT and alloSCT groups. The most common PRO-AEs (Table 1) in the CAR-T group were decreased appetite (59%), diarrhea (53%) and fatigue (44%). There was no statistically significant difference in the PRO-AEs between CAR-T and autoSCT groups. However, patients undergoing alloSCT had significantly higher proportion of PRO-AEs vs the CAR-T group, except for neuropathy and sad feelings. AutoSCT and alloSCT groups had significant worsening of FACT-G side effect bother (GP5) at week 2, which was significantly different from that of the CAR-T group, following which the side effect bother gradually returned to baseline. (Fig. 1c) This was the first application of ToxT to PRO-CTCAE data (graphs not shown). Bar charts of maximum grade frequency and stream plots of mean grade over time demonstrate that mouth sores, fatigue, diarrhea and decreased appetite peak at week 2 and improve by month 3, and are of lesser severity in the CAR-T vs autoSCT and alloSCT groups. The trajectory of maximum grade across all PRO-AEs was similar by group as overall side effect burden by FACT-G GP5. Heatmap visualization demonstrated significant intra-patient variability and allowed inspection of data completeness. No difference in cognition and memory was observed across the three groups over the first three months. (Fig. 1d) Conclusion: This study is the first to our knowledge to provide comprehensive PRO data comparing QOL, patient-reported AEs and cognition in CAR-T cell therapy vs. auto- and alloSCT, and the first application of ToxT to PRO-CTCAE data. Short-term QOL, including physical and functional WB domains was better in the CAR-T group vs. SCT groups. These data can serve as a guide for patient education and symptom management in CAR-T cell therapy. Co-senior authors: SKK & ACD Disclosures Paludo: Celgene: Research Funding; Celgene: Research Funding; Verily Life Sciences: Research Funding; Verily Life Sciences: Research Funding. Gertz:Johnson and Johnson: Speakers Bureau; Celgene: Consultancy; Appellis: Consultancy; Amyloidosis Foundation: Research Funding; DAVA oncology: Speakers Bureau; Physicians Education Resource: Consultancy; Amgen: Consultancy; Janssen: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Medscape: Consultancy, Speakers Bureau; Prothena Biosciences Inc: Consultancy; Teva: Speakers Bureau; Research to Practice: Consultancy; Annexon: Consultancy; Alnylam: Consultancy; International Waldenstrom Foundation: Research Funding; Ionis/Akcea: Consultancy; Spectrum: Consultancy, Research Funding; i3Health: Other: Development of educational programs and materials; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Springer Publishing: Patents & Royalties. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Ansell:Trillium: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding. Bennani:Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Purdue Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Seattle Genetics: Other: Advisory board; Seattle Genetics: Other: Advisory board; Kite Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board; Kite Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board. Kumar:Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Abstract Introduction Some Alzheimer's disease biomarker studies found amyloid changes 20 years or more in advance of expected symptoms, while cognitive changes lagged for more than a decade, but this apparent lag might reflect the sensitivities of the biomarker and cognitive assays used. How far in advance of incident amnestic mild cognitive impairment (MCI) does cognition begin to decline? Methods Longitudinal neuropsychological study of an apolipoprotein E e4 enriched cohort of cognitively normal individuals at entry. Linear mixed models for MCI converters (n = 65) and nonconverters (n = 719) fitted for each neuropsychological measure; annual changes compared between groups before and after linear model intersections (inflection points). Results 34 of 35 cognitive measures and 9 of 18 behavioral measures declined faster post‐inflection in the MCI converters; the earliest cognitive inflection point was nearly 20 years in advance of MCI diagnosis. Discussion The preclinical duration of cognitive and behavioral changes approaches the earliest reported biomarker changes.

AbstractPurpose:Patients with HER2+ breast cancer benefit from trastuzumab-containing regimens with improved survival. Adaptive immunity, including cytotoxic T-cell and antibody immunity, is critical to clinical efficacy of trastuzumab. Because Th cells are central to the activation of these antitumor effectors, we reason that HER2 patients treated with trastuzumab may benefit by administering vaccines that are designed to stimulate Th-cell immunity.Patients and Methods:We developed a degenerate HER2 epitope–based vaccine consisting of four HLA class II–restricted epitopes mixed with GM-CSF that should immunize most (≥84%) patients. The vaccine was tested in a phase I trial. Eligible women had resectable HER2+ breast cancer and had completed standard treatment prior to enrollment and were disease free. Patients were vaccinated monthly for six doses and monitored for safety and immunogenicity.Results:Twenty-two subjects were enrolled and 20 completed all six vaccines. The vaccine was well tolerated. All patients were alive at analysis with a median follow-up of 2.3 years and only two experienced disease recurrence. The percent of patients that responded with augmented T-cell immunity was high for each peptide ranging from 68% to 88%, which led to 90% of the patients generating T cells that recognized naturally processed HER2 antigen. The vaccine also augmented HER2-specific antibody. Immunity was sustained in patients with little sign of diminishing at 2 years following the vaccination.Conclusions:Degenerate HLA-DR–based HER2 vaccines induce sustainable HER2-specific T cells and antibodies. Future studies, could evaluate whether vaccination during adjuvant treatment with trastuzumab-containing regimens improves patient outcomes.