Implementing a pharmacist-integrated collaborative model of medication treatment for opioid use disorder in primary care: study design and methodological considerations.

BACKGROUND: Pharmacists remain an underutilized resource in the treatment of opioid use disorder (OUD). Although studies have engaged pharmacists in dispensing medications for OUD (MOUD), few studies have evaluated collaborative care models in which pharmacists are an active, integrated part of a primary care team offering OUD care. METHODS: This study seeks to implement a pharmacist integrated MOUD clinical model (called PrIMO) and evaluate its feasibility, acceptability, and impact across four diverse primary care sites. The Consolidated Framework for Implementation Research is used as an organizing framework for study development and interpretation of findings. Implementation Facilitation is used to support PrIMO adoption. We assess the primary outcome, the feasibility of implementing PrIMO, using the Stages of Implementation Completion (SIC). We evaluate the acceptability and impact of the PrIMO model at the sites using mixed-methods and combine survey and interview data from providers, pharmacists, pharmacy technicians, administrators, and patients receiving MOUD at the primary care sites with patient electronic health record data. We hypothesize that it is feasible to launch delivery of the PrIMO model (reach SIC Stage 6), and that it is acceptable, will positively impact patient outcomes 1 year post model launch (e.g., increased MOUD treatment retention, medication regimen adherence, service utilization for co-morbid conditions, and decreased substance use), and will increase each site's capacity to care for patients with MOUD (e.g., increased number of patients, number of prescribers, and rate of patients per prescriber). DISCUSSION: This study will provide data on a pharmacist-integrated collaborative model of care for the treatment of OUD that may be feasible, acceptable to both site staff and patients and may favorably impact patients' access to MOUD and treatment outcomes. TRIAL REGISTRATION: The study was registered on Clinicaltrials.gov (NCT05310786) on April 5, 2022, https://www. CLINICALTRIALS: gov/study/NCT05310786?id=NCT05310786&rank=1.

Leveraging an Informatics Approach to Identify an Unmet Clinical Need for BRCA1/2 Testing Among Patients With Ovarian Cancer.

PURPOSE: Although BRCA1/2 testing in ovarian cancer improves outcomes, it is vastly underutilized. Scalable approaches are urgently needed to improve genomically guided care. METHODS: We developed a Natural Language Processing (NLP) pipeline to extract electronic medical record information to identify recipients of BRCA testing. We applied the NLP pipeline to assess testing status in 308 patients with ovarian cancer receiving care at a National Cancer Institute Comprehensive Cancer Center (main campus [MC] and five affiliated clinical network sites [CNS]) from 2017 to 2019. We compared characteristics between (1) patients who had/had not received testing and (2) testing utilization by site. RESULTS: We found high uptake of BRCA testing (approximately 78%) from 2017 to 2019 with no significant differences between the MC and CNS. We observed an increase in testing over time (67%-85%), higher uptake of testing among younger patients (mean age tested = 61 years v untested = 65 years, P = .01), and higher testing among Hispanic (84%) compared with White, Non-Hispanic (78%), and Asian (75%) patients (P = .006). Documentation of referral for an internal genetics consultation for BRCA pathogenic variant carriers was higher at the MC compared with the CNS (94% v 31%). CONCLUSION: We were able to successfully use a novel NLP pipeline to assess use of BRCA testing among patients with ovarian cancer. Despite relatively high levels of BRCA testing at our institution, 22% of patients had no documentation of genetic testing and documentation of referral to genetics among BRCA carriers in the CNS was low. Given success of the NLP pipeline, such an informatics-based approach holds promise as a scalable solution to identify gaps in genetic testing to ensure optimal treatment interventions in a timely manner.

Facilitating clinical research through automation: Combining optical character recognition with natural language processing.

BACKGROUND/AIMS: Performance status is crucial for most clinical research, as an eligibility criterion, a comorbidity covariate, or a trial endpoint. Yet information on performance status often is embedded as free text within a patient's electronic medical record, rather than coded directly, thereby making this concept extremely difficult to extract for research. Furthermore, performance status information frequently resides in outside reports, which are scanned into the electronic medical record along with thousands of clinic notes. The image format of scanned documents also is a major obstacle to the search and retrieval of information, as natural language processing cannot be applied to unstructured text within an image. We, therefore, utilized optical character recognition software to convert images to a searchable format, allowing the application of natural language processing to identify pertinent performance status data elements within scanned electronic medical records. METHODS: Our study cohort consisted of 189 subjects diagnosed with diffuse large B-cell lymphoma for whom performance status was a required data element for analysis of prognostic factors related to recurrence and survival. Manual abstraction of performance status was previously conducted by a clinical Subject Matter Expert, serving as the gold standard. Leveraging our data warehouse, we extracted relevant scanned electronic medical record documents and applied optical character recognition to these images using the ABBYY FineReader software. The Linguamatics i2e natural language processing software was then used to run queries for performance status against the corpus of electronic medical record documents. We evaluated our optical character recognition/natural language processing pipeline for accuracy and reduction in data extraction effort. RESULTS: We found that there was high accuracy and reduced time for extraction of performance status data by applying our optical character recognition/natural language processing pipeline. The transformed scanned documents from a random sample of patients yielded excellent precision, recall, and F score, with <1% incorrect results. Time savings from a second cohort showed that median time to review documents for patients with performance status data present was reduced by a third. The major time savings was in the review of those documents that in fact did not contain performance status information: median of 18 minutes versus 108 minutes for manual review, an 83% reduction in data abstraction effort. CONCLUSION: By applying this optical character recognition/natural language processing pipeline, we achieved significant operational improvement and reduced time for information retrieval to support clinical research. Our study demonstrated that optical character recognition software provides an effective mechanism to transform scanned electronic medical record images to allow the application of natural language processing, yielding highly accurate data abstraction. We conclude that our optical character recognition/natural language processing pipeline can greatly facilitate research data abstraction by providing a highly focused data review, eliminating unnecessary manual review of the entire chart, and thus freeing time for abstracting other data elements requiring more human interpretation.

Double-hit Signature with TP53 Abnormalities Predicts Poor Survival in Patients with Germinal Center Type Diffuse Large B-cell Lymphoma Treated with R-CHOP.

PURPOSE: We performed detailed genomic analysis on 87 cases of de novo diffuse large B-cell lymphoma of germinal center type (GCB DLBCL) to identify characteristics that are associated with survival in those treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone). EXPERIMENTAL DESIGN: The cases were extensively characterized by combining the results of IHC, cell-of-origin gene expression profiling (GEP; NanoString), double-hit GEP (DLBCL90), FISH cytogenetic analysis for double/triple-hit lymphoma, copy-number analysis, and targeted deep sequencing using a custom mutation panel of 334 genes. RESULTS: We identified four distinct biologic subgroups with different survivals, and with similarities to the genomic classifications from two large retrospective studies of DLBCL. Patients with the double-hit signature, but no abnormalities of TP53, and those lacking EZH2 mutation and/or BCL2 translocation, had an excellent prognosis. However, patients with an EZB-like profile had an intermediate prognosis, whereas those with TP53 inactivation combined with the double-hit signature had an extremely poor prognosis. This latter finding was validated using two independent cohorts. CONCLUSIONS: We propose a practical schema to use genomic variables to risk-stratify patients with GCB DLBCL. This schema provides a promising new approach to identify high-risk patients for new and innovative therapies.

Acceptance of adjuvant chemotherapy recommendations in early-stage hormone-positive breast cancer.

BACKGROUND: The role of systemic chemotherapy in early-stage, estrogen receptor (ER)-positive, and Her2-negative breast cancer remains an area of active investigation. The decision to recommend chemotherapy is multifactorial, and some patients decline recommended chemotherapy. We sought to identify patient factors leading to refusal of adjuvant therapy. MATERIALS AND METHODS: Data were collected from National Comprehensive Cancer Network Outcomes database and used to identify patients with primary, unilateral, T1-T2, N0, ER+, Her2-disease diagnosed from 2005-2011. Patient and clinical characteristics were analyzed for associations with physician recommendation for chemotherapy and patient acceptance of chemotherapy. A logistic regression model was used to identify patient and tumor characteristics associated with recommendation for and acceptance of chemotherapy. RESULTS: A total of 329 patients were identified. Chemotherapy was recommended in 191 patients (58.1%) and not in 138 (41.9%). Young age (odds ratio [OR]: 3.9, 95% confidence interval [CI]: 1.2-12.7), large tumor size (6.69, 95% CI: 3.31-13.5), and high Oncotype DX scores (11.2, 95% CI: 4.5-27.9) were more likely to receive a recommendation. About 71 patients (37.1%) refused chemotherapy. Patients younger than age 50 (20.9, 95% CI: 2.5-172.0), larger tumor size (3.4, 95% CI: 1.3-8.7), Oncotype DX score > 31 (31.3, 95% CI: 3.3-295.0), privately insured (8.2, 95% CI: 1.9-34.7), and Hispanic ethnicity (5.2, 95% CI: 1.6-16.8) were more likely to accept chemotherapy. CONCLUSIONS: Physician recommendations for adjuvant chemotherapy for early-stage ER + breast cancer varied by commonly considered factors. Patient acceptance varied by similar factors but was also influenced by race and insurance status. This may be explained by cultural or social factors not well understood or not overcome by physician guidance.

Subtype-Dependent Relationship Between Young Age at Diagnosis and Breast Cancer Survival.

PURPOSE: Young women are at increased risk for developing more aggressive subtypes of breast cancer. Although previous studies have shown a higher risk of breast cancer recurrence and death among young women with early-stage breast cancer, they have not adequately addressed the role of tumor subtype in outcomes. METHODS: We examined data from women with newly diagnosed stage I to III breast cancer presenting to one of eight National Comprehensive Cancer Network centers between January 2000 and December 2007. Multivariable Cox proportional hazards models were used to assess the relationship between age and breast cancer-specific survival. RESULTS: A total of 17,575 women with stage I to III breast cancer were eligible for analysis, among whom 1,916 were ≤ 40 years of age at diagnosis. Median follow-up time was 6.4 years. In a multivariable Cox proportional hazards model controlling for sociodemographic, disease, and treatment characteristics, women ≤ 40 years of age at diagnosis had greater breast cancer mortality (hazard ratio [HR], 1.4; 95% CI, 1.2 to 1.7). In stratified analyses, age ≤ 40 years was associated with statistically significant increases in risk of breast cancer death among women with luminal A (HR, 2.1; 95% CI, 1.4 to 3.2) and luminal B (HR 1.4; 95% CI, 1.1 to 1.9) tumors, with borderline significance among women with triple-negative tumors (HR, 1.4; 95% CI, 1.0 to 1.8) but not among those with human epidermal growth factor receptor 2 subtypes (HR, 1.2; 95% CI, 0.8 to 1.9). In an additional model controlling for detection method, young age was associated with significantly increased risk of breast cancer death only among women with luminal A tumors. CONCLUSION: The effect of age on survival of women with early breast cancer seems to vary by breast cancer subtype. Young age seems to be particularly prognostic in women with luminal breast cancers.

Racial and Ethnic Differences in Breast Cancer Survival: Mediating Effect of Tumor Characteristics and Sociodemographic and Treatment Factors.

PURPOSE: To evaluate the relationship between race/ethnicity and breast cancer-specific survival according to subtype and explore mediating factors. PATIENTS AND METHODS: Participants were women presenting with stage I to III breast cancer between January 2000 and December 2007 at National Comprehensive Cancer Network centers with survival follow-up through December 2009. Cox proportional hazards regression was used to compare breast cancer-specific survival among Asians (n = 533), Hispanics (n = 1,122), and blacks (n = 1,345) with that among whites (n = 14,268), overall and stratified by subtype (luminal A like, luminal B like, human epidermal growth factor receptor 2 type, and triple negative). Model estimates were used to derive mediation proportion and 95% CI for selected risk factors. RESULTS: In multivariable adjusted models, overall, blacks had 21% higher risk of breast cancer-specific death (hazard ratio [HR], 1.21; 95% CI, 1.00 to 1.45). For estrogen receptor-positive tumors, black and white survival differences were greatest within 2 years of diagnosis (years 0 to 2: HR, 2.65; 95% CI, 1.34 to 5.24; year 2 to end of follow-up: HR, 1.50; 95% CI, 1.12 to 2.00). Blacks were 76% and 56% more likely to die as a result of luminal A-like and luminal B-like tumors, respectively. No disparities were observed for triple-negative or human epidermal growth factor receptor 2-type tumors. Asians and Hispanics were less likely to die as a result of breast cancer compared with whites (Asians: HR, 0.56; 95% CI, 0.37 to 0.85; Hispanics: HR, 0.74; 95% CI, 0.58 to 0.95). For blacks, tumor characteristics and stage at diagnosis were significant disparity mediators. Body mass index was an important mediator for blacks and Asians. CONCLUSION: Racial disparities in breast cancer survival vary by tumor subtype. Interventions are needed to reduce disparities, particularly in the first 2 years after diagnosis among black women with estrogen receptor-positive tumors.

Inflammatory breast cancer management in the national comprehensive cancer network: the disease, recurrence pattern, and outcome.

BACKGROUND: Inflammatory breast cancer (IBC) is an uncommon clinicopathologic entity characterized by rapid progression and aggressive behavior. We used the National Comprehensive Cancer Network (NCCN) Outcomes Database to characterize recurrence patterns and outcomes. METHODS: Patients with newly diagnosed IBC treated between 1999 and 2009 at 12 NCCN institutions were identified, and baseline characteristics were obtained. Patients had multimodality therapy if they received 2 of 3 treatments: surgery, perioperative (neoadjuvant or adjuvant) chemotherapy, or perioperative radiation. The first site of recurrence/metastatic diagnosis was identified. Overall survival was calculated on the basis of stage at diagnosis and receipt of multimodality therapy. RESULTS: We identified 673 patients, of whom 195 (29%) had metastatic disease at presentation. Median follow-up was 29 months. Of patients in stage III, 82% received > 1 treatment modality. Among 203 patients in stage III with recurrence, the most frequent sites of first recurrence were bone (28%), central nervous system (CNS), lung, and liver (all 21%). Human epidermal growth factor receptor 2 positive and triple negative subtypes had higher rates of CNS recurrence (P = .001). Median survival was 66 months (95% confidence interval [CI], 54-107) for stage III and 26 months (95% CI, 22-33) for stage IV. Among 82% of patients in stage III receiving multimodality therapy, the median survival was 107 months (95% CI, 71 to not reached). CONCLUSIONS: This large, retrospective, multi-institutional study confirms the aggressive clinical features, unique recurrence patterns, and adverse prognosis of IBC. The high rate of CNS recurrence among high-risk subtypes, despite the inflammatory nature of the breast cancer, suggests that new strategies are needed for earlier detection or prevention of brain metastases to improve long-term prognosis.

Systemic therapy for advanced appendiceal adenocarcinoma: an analysis from the NCCN Oncology Outcomes Database for colorectal cancer.

Appendiceal malignancies are rare and represent 1% of intestinal tumors in the United States. The role and efficacy of modern systemic therapy in advanced appendiceal adenocarcinoma has not been established. This study analyzed patients with recurrent or metastatic appendiceal adenocarcinoma in the database for Colorectal Cancer (CRC; 2005-2012). This database tracks longitudinal care for patients treated at 8 specialty centers across the Unites States. Study objectives were to describe and evaluate the efficacy of systemic therapy and investigate relationships with clinicopathologic features. Cox regression analysis was performed to identify predictors of progression-free survival (PFS) and overall survival (OS). Of 248 patients with advanced appendiceal carcinoma, 112 (45%) received systemic therapy for measurable disease and are the focus of this report. The most common chemotherapy regimens included FOLFOX with or without bevacizumab (n=39 and n=37, respectively), FOLFIRI (n=15), and single-agent fluoro-pyrimidine (n=10). Among 99 patients evaluable for best response, 39 experienced a response (response rate [RR], 39%) and 36 (36%) had stable disease. The median PFS was 1.2 years (95% CI, 1.0-1.8) and median OS was 2.1 years (95% CI, 1.6-2.3). Patients with non-mucinous histology or high-grade tumors and those who underwent nondebulking surgery had worse PFS and OS. Treatment of advanced appendiceal adenocarcinoma at NCCN Member Institutions commonly incorporates agents used for CRC. RR, PFS, and OS are comparable to those achieved in the treatment of metastatic CRC. Poor prognostic factors include nonmucinous histology or high-grade tumors and history of nondebulking surgery.

Impact of guideline changes on use or omission of radiation in the elderly with early breast cancer: practice patterns at National Comprehensive Cancer Network institutions.

BACKGROUND: Breast radiation therapy (RT) is a care standard after breast-conservation surgery that improves local control and survival in women. In 2004, a phase III trial demonstrated radiation after breast-conservation surgery provided no survival and limited local control benefit to women aged 70 years and older with stage I, estrogen receptor-positive cancers who receive endocrine therapy. This led to breast-conservation surgery and endocrine therapy alone being incorporated as a category I option in the National Comprehensive Cancer Network (NCCN) Guidelines for older women in 2004. We examined factors associated with change in radiation use in elderly patients at 13 NCCN centers. STUDY DESIGN: We identified women treated at NCCN centers meeting age and stage criteria during 2000 to 2009. Factors considered a priori potentially associated with RT use were evaluated in univariate and multivariable models, including year of diagnosis, tumor and patient characteristics, axillary surgery, and treating institution. Date of diagnosis was classified as 2000 to 2004 vs 2005 to 2009, reflecting when guidelines changed. RESULTS: Among 1,292 eligible cases, 78% received RT. In multivariable analysis, diagnosis after 2004 (p = 0.0003), older age (p < 0.0001), higher comorbidity score (p = 0.0006), smaller tumors (p = 0.0146), and omission of axillary surgery (p < 0.0001) predicted RT omission. Ninety-four percent of women aged 70 to 74 years received RT in 2000, compared with 88% in 2009. For the same times and age 80 years and older, RT use was 80% vs 41%. Finally, RT use was associated with treating institution (p < 0.0001). CONCLUSIONS: After guideline changes for RT use in older women, NCCN centers demonstrated wide variation in implementing change. This suggests other factors are also influencing guideline uptake.

Tumor response ratio predicts overall survival in breast cancer patients treated with neoadjuvant chemotherapy.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is commonly used to treat locally advanced breast cancer. Pathologic complete response (pCR) predicts improved overall survival (OS); however, prognosis of patients with partial response remains unclear. We evaluated whether tumor response ratio (TRR) is a better predictor of OS than current staging methods. METHODS: Using the National Comprehensive Cancer Network Breast Cancer Outcomes Database, we identified patients with stage I-III breast cancer who had NAC and pretreatment imaging at City of Hope (1997-2010). Patient demographics, tumor characteristics, and OS were analyzed. TRR was calculated as residual in-breast disease divided by size on pre-NAC imaging. Four TRR groups were stratified; TRR 0 (pCR), TRR > 0-0.4 (strong partial response, SPR), TRR > 0.4-1.0 (weak partial response, WPR), or TRR > 1.0 (tumor growth, TG). OS was estimated by the Kaplan-Meier method and tested by the log-rank test. Cox regression was performed to evaluate associations between OS and TRR in a multivariable analysis while controlling for potential confounders. RESULTS: There were 218 eligible patients identified; 59 (27 %) had pCR, 61 (28 %) SPR, 72 (33 %) WPR, and 26 (12 %) TG. Five-year OS decreased continuously with increasing TRR:pCR (90 %), SPR (79 %), WPR (66 %), and TG (60 %). TRR was the only measure that significantly predicted OS (p = 0.0035); pathologic stage (p = 0.23) and pre-NAC clinical tumor stage (cT) (p = 0.87) were not significant. TRR continued to be statistically significant by multivariable analysis (p = 0.016). CONCLUSIONS: TRR takes into account both pretreatment and residual disease and more accurately predicts OS than pathologic stage and pre-NAC cT. TRR may be useful to more accurately assess prognosis and OS in breast cancer patients undergoing NAC.

Outcomes by tumor subtype and treatment pattern in women with small, node-negative breast cancer: a multi-institutional study.

PURPOSE: Treatment decisions for patients with T1a,bN0M0 breast cancer are challenging. We studied the time trends in use of adjuvant chemotherapy and survival outcomes among these patients. PATIENTS AND METHODS: This was a prospective cohort study within the National Comprehensive Cancer Network Database that included 4,113 women with T1a,bN0M0 breast cancer treated between 2000 and 2009. Tumors were grouped by size (T1a, T1b), biologic subtype defined by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status, and receipt of chemotherapy with or without trastuzumab. RESULTS: Median follow-up time was 5.5 years. Eight percent of patients with HR-positive/HER2-negative tumors were treated with chemotherapy. Fifty-two percent of those with HER2-positive or HR-negative/HER2-negative breast cancers received chemotherapy, with an increase over the last decade. Survival outcomes diverged by subtype and size, but the 5-year distant relapse-free survival (DRFS) did not exceed 10% in any subgroup. The 5-year DRFS for patients with T1a tumors untreated with chemotherapy ranged from 93% to 98% (n = 49 to 972), and for patients with T1b tumors, it ranged from 90% to 96% (n = 17 to 2,005). Patients with HR-positive/HER2-negative disease had the best DRFS estimates, and patients with HR-negative/HER2-negative tumors had the lowest. In this observational, nonrandomized cohort study, the 5-year DRFS for treated patients with T1a tumors was 100% for all subgroups (n = 12 to 33), and for patients with T1b tumors, it ranged from 94% to 96% (n = 88 to 241). CONCLUSION: Women with T1a,b tumors have an excellent prognosis without chemotherapy. Size and tumor subtype may identify patients in whom the rate of recurrence justifies consideration of chemotherapy. These patients represent an optimal group for evaluating less toxic adjuvant regimens to maintain efficacy while minimizing short- and long-term risks.

Use of adjuvant trastuzumab in women with human epidermal growth factor receptor 2 (HER2)-positive breast cancer by race/ethnicity and education within the National Comprehensive Cancer Network.

BACKGROUND: Trastuzumab for human epidermal growth factor receptor 2 (HER2)-positive breast cancer is highly efficacious yet costly and time-intensive, and few data are available about its use. The authors of this report examined receipt and completion of adjuvant trastuzumab by race/ethnicity and education for women with HER2-positive disease. METHODS: The National Comprehensive Cancer Network Breast Cancer Outcomes Database was used to identify 1109 women who were diagnosed with stage I through III, HER2-positive breast cancer during September 2005 through December 2008 and were followed for ≥1 year. The authors used multivariable logistic regression to assess the association of race/ethnicity and education with the receipt of trastuzumab and, among those women who initiated trastuzumab, with the completion of > 270 days of therapy. RESULTS: The cohort was 75% white, 8% black, and 9% Hispanic; and 20% of women had attained a high school degree or less. Most women (83%) received trastuzumab, and no significant differences were observed according to race/ethnicity or socioeconomic status. Among the women who initiated trastuzumab, 73% of black women versus 87% of white women (P = .007) and 70% of women with less than a high school education versus 90% of women with a college degree completed > 270 days of therapy (P = .006). In adjusted analyses, black women (vs white women) and women without a high school degree (vs those with a college degree) had lower odds of completing therapy (black women: odds ratio, 0.45; 95% confidence interval, 0.27-074; white women: odds ratio, 0.27, 95% confidence interval, 0.14-0.51). CONCLUSIONS: Differences in completing trastuzumab therapy were observed according to race and educational attainment among women who received treatment at National Comprehensive Cancer Network centers. Efforts to assure the appropriate use of trastuzumab and to understand treatment barriers are needed and may lead to improved outcomes. The authors report differences in the rate at which patients complete treatment with trastuzumab according to race and education among women who receive treatment at National Comprehensive Cancer Network centers. Efforts to assure the appropriate use of trastuzumab and to understand treatment barriers are needed and may lead to improved outcomes.

Time to diagnosis and breast cancer stage by race/ethnicity.

We examined differences in time to diagnosis by race/ethnicity, the relationship between time to diagnosis and stage, and the extent to which it explains differences in stage at diagnosis across racial/ethnic groups. Our analytic sample includes 21,427 non-Hispanic White (White), Hispanic, non-Hispanic Black (Black) and non-Hispanic Asian/Pacific Islander (Asian) women diagnosed with stage I to IV breast cancer between January 1, 2000 and December 31, 2007 at one of eight National Comprehensive Cancer Network centers. We measured time from initial abnormal mammogram or symptom to breast cancer diagnosis. Stage was classified using AJCC criteria. Initial sign of breast cancer modified the association between race/ethnicity and time to diagnosis. Among symptomatic women, median time to diagnosis ranged from 36 days among Whites to 53.6 for Blacks. Among women with abnormal mammograms, median time to diagnosis ranged from 21 days among Whites to 29 for Blacks. Blacks had the highest proportion (26 %) of Stage III or IV tumors. After accounting for time to diagnosis, the observed increased risk of stage III/IV breast cancer was reduced from 40 to 28 % among Hispanics and from 113 to 100 % among Blacks, but estimates remained statistically significant. We were unable to fully account for the higher proportion of late-stage tumors among Blacks. Blacks and Hispanics experienced longer time to diagnosis than Whites, and Blacks were more likely to be diagnosed with late-stage tumors. Longer time to diagnosis did not fully explain differences in stage between racial/ethnicity groups.

Impact of hormone receptor status on patterns of recurrence and clinical outcomes among patients with human epidermal growth factor-2-positive breast cancer in the National Comprehensive Cancer Network: a prospective cohort study.

INTRODUCTION: In gene expression experiments, hormone receptor (HR)-positive/human epidermal growth factor-2 (HER2)-positive tumors generally cluster within the luminal B subset; whereas HR-negative/HER2-positive tumors reside in the HER2-enriched subset. We investigated whether the clinical behavior of HER2-positive tumors differs by HR status. METHODS: We evaluated 3,394 patients who presented to National Comprehensive Cancer Network (NCCN) centers with stage I to III HER2-positive breast cancer between 2000 and 2007. Tumors were grouped as HR-positive/HER2-positive (HR+/HER2+) or HR-negative/HER2-positive (HR-/HER2+). Chi-square, logistic regression and Cox hazard proportional regression were used to compare groups. RESULTS: Median follow-up was four years. Patients with HR-/HER2+ tumors (n = 1,379, 41% of total) were more likely than those with HR+/HER-2+ disease (n = 2,015, 59% of total) to present with high histologic grade and higher stages (P <0.001). Recurrences were recorded for 458 patients. HR-/HER2+ patients were less likely to experience first recurrence in bone (univariate Odds Ratio (OR) = 0.53, 95% Confidence Interval (CI): 0.34 to 0.82, P = 0.005) and more likely to recur in brain (univariate OR = 1.75, 95% CI: 1.05 to 2.93, P = 0.033). A lower risk of recurrence in bone persisted after adjusting for age, stage and adjuvant trastuzumab therapy (OR = 0.53, 95% CI: 0.34 to 0.83, P = 0.005) and when first and subsequent sites of recurrence were both considered (multivariable OR = 0.55, 95% CI: 0.37 to 0.80, P = 0.002). CONCLUSIONS: Presenting features, patterns of recurrence and survival of HER2-positive breast cancer differed by HR status. These differences should be further explored and integrated in the design of clinical trials.

The effect of age on delay in diagnosis and stage of breast cancer.

BACKGROUND: Young women with breast cancer are more likely to present with more advanced disease and are more likely to die as a result of breast cancer than their older counterparts. We sought to examine the relationship among young age (≤40 years), the likelihood of a delay in diagnosis, and stage. METHODS: We examined data from women with newly diagnosed stage I-IV breast cancer presenting to one of eight National Comprehensive Cancer Network centers in January 2000 to December 2007. Delay in diagnosis was defined as time from initial sign or symptom to breast cancer diagnosis >60 days. RESULTS: Among 21,818 women with breast cancer eligible for analysis, 2,445 were aged ≤40 years at diagnosis. Young women were not more likely to have a delay in diagnosis >60 days (odds ratio [OR], 1.08; 95% confidence interval [CI], 0.98-1.19) after adjustment for type of initial sign or symptom. Young women were only modestly more likely to present with higher stage disease after a similar adjustment (OR, 1.18; 95% CI, 1.07-1.31). Women presenting with symptomatic disease, more common in younger women, were more likely to have a delay in diagnosis (OR, 3.31; 95% CI, 3.08-3.56) and higher stage (OR, 4.31; 95% CI 4.05-4.58). CONCLUSION: Young age is not an independent predictor of delay in diagnosis of breast cancer and only modestly is associated with higher stage disease. Presenting with symptoms of breast cancer predicts delay and higher stage at diagnosis.

Continued use of trastuzumab beyond disease progression in the national comprehensive cancer network: should we practice ahead of the evidence?

BACKGROUND: The role of continued trastuzumab after progression in women with human epidermal growth factor receptor (HER)-2+ metastatic breast cancer is controversial. Controlled clinical trials that establish a benefit from continued trastuzumab have been difficult to complete. METHODS: In the National Comprehensive Cancer Center Network (NCCN) Breast Cancer Outcomes Database, we identified women treated with trastuzumab for metastatic or relapsed HER-2+ breast cancer at eight NCCN centers who subsequently progressed. Patients were eligible for this analysis if they initiated treatment at an NCCN institution between July 1997 and December 2004, received trastuzumab-containing treatment, and progressed while on therapy. We calculated the proportion of patients who received trastuzumab after progression, and in a multivariate analysis assessed the association of patient and provider characteristics with continued trastuzumab therapy. RESULTS: Our final cohort consisted of 218 women who experienced disease progression while on trastuzumab-containing therapy. Of these, 168 (77%) continued trastuzumab. Of these, 36 patients (17%) received therapy as part of a clinical trial. The only factors significantly associated with continuation of trastuzumab beyond progression were the presence of bone metastases and more recent year of development of progressive disease. CONCLUSIONS: Prior to the availability of any high-quality evidence supporting this practice, over three quarters of patients treated with trastuzumab for HER-2+ metastatic breast cancer at eight NCCN centers continued therapy beyond progression. Further work is needed to understand how physicians adopt new treatments when there is ambiguity surrounding their benefit.

The impact of breast reconstruction on the delivery of chemotherapy.

BACKGROUND: : The purpose of this study was to evaluate the impact of postmastectomy breast reconstruction on the timing of chemotherapy. METHODS: : The authors included stage I-III breast cancer patients from 8 National Comprehensive Cancer Network institutions for whom guidelines recommended chemotherapy. Surgery type was categorized as breast-conserving surgery (BCS), mastectomy alone, mastectomy with immediate reconstruction (M + IR), or mastectomy with delayed reconstruction (M + DR). A Cox regression analysis was used to assess the association between surgery type and timing of chemotherapy initiation. RESULTS: : Of the 3643 patients, only 5.1% received it > or =8 weeks from surgery. In the multivariate analysis, higher stage, Caucasian and Hispanic race/ethnicity, lower body mass index, and absence of comorbid conditions were all significantly associated with earlier time to chemotherapy. There was also significant interaction among age, surgery, and chemotherapy delivery. Among women <60, time to chemotherapy was shorter for all surgery types compared with M + IR (statistical significant for all surgery types in the youngest age group and for BCS in women 40 to <50 years old). In contrast, among women > or =60, time to chemotherapy was shorter among women receiving M + IR or M + DR compared with those undergoing BCS or mastectomy alone, a difference that was statistically significant for the M + IR versus BCS comparison. CONCLUSIONS: : Immediate postmastectomy breast reconstruction does not appear to lead to omission of chemotherapy, but it is associated with a modest, but statistically significant, delay in initiating treatment. For most, it is unlikely that this delay has any clinical significance. Cancer 2010. (c) 2010 American Cancer Society.

Predictors and temporal trends of adjuvant aromatase inhibitor use in breast cancer.

After the first report of the ATAC (Arimidex, Tamoxifen, Alone or in Combination) trial, adjuvant aromatase inhibitor use increased rapidly among National Comprehensive Cancer Network member institutions. Increased aromatase inhibitor use was associated with older age, vascular disease, overexpression of human epidermal growth factor receptor 2 (HER2), or more advanced stage, and substantial variation was seen among institutions. This article examines adjuvant endocrine therapy in postmenopausal women after the first report of the trial, identifies temporal relationships in aromatase inhibitor use, and examines characteristics associated with choice of endocrine therapy among 4044 postmenopausal patients with hormone receptor-positive nonmetastatic breast cancer presenting from July 1997 to December 2004. Multivariable logistic regression analysis examined temporal associations and characteristics associated with aromatase inhibitor use. Time-trend analysis showed increased aromatase inhibitor and decreased tamoxifen use after release of ATAC results (P < .0001). In multivariable regression analysis, institution (P <. 0001), vascular disease (P <. 0001), age (P = .0002), stage (P = .0002), and HER2 status (P = .0009) independently predicted aromatase inhibitor use. Institutional rates of use ranged from 15% to 66%. Adjuvant aromatase inhibitor use increased after the first report of ATAC, with this increase associated with older age, vascular disease, overexpression of HER2, or more advanced stage. Substantial variation was seen among institutions.