Citations

Abstract OBJECTIVE: Currently, no study has assessed the performance of contrast-enhanced spectral mammography (CESM) in evaluating tumor response in breast cancer patients undergoing neoadjuvant systemic therapy (NST). This study aims to evaluate whether the accuracy of CESM is comparable to MRI in detection of residual breast cancer following NST. MATERIALS AND METHODS: Retrospective review of CESM cases at our institution between September 2014 and June 2016 identified patients who had both CESM and MRI pre- and post-NST with pathologic assessment after surgical management. Size of residual malignancy (if any) on post-neoadjuvant CESM and MRI was compared to surgical pathology (reference standard). Pathologic complete response (pCR) was documented and compared to Residual Cancer Burden (RCB) score for confirmation. Bland-Altman plots were used to visualize the differences between CESM/MRI and pathologic tumor size. RESULTS: Forty female patients met inclusion criteria. Mean age was 52.3 years (range 35-73). Type of NST included: 34 (85%) chemotherapy and 6 (15%) endocrine therapy. Histological analysis showed invasive ductal carcinoma in 38 (95%), the remaining cases consisted of one invasive lobular carcinoma, and one mixed invasive carcinoma. Mean tumor size after NST was 10.3 mm (range 0-75 mm) for CESM and 9.7 mm (range 0-60 mm) for MRI compared to 15.7 mm (range 0-100 mm) on final surgical pathology. Equivalence tests demonstrated that the mean tumor size measured by CESM or by MRI is equivalent to the mean tumor size measured by pathology within -1 and 1 cm range (p=0.0132 for CESM and p=0.0194 for MRI). Difference in Measurement Post-NST Compared to Pathology Path Tumor Size (mm)CESM Tumor Size (mm)MRI Tumor Size (mm)Mean (SD)15.7 (24.5)10.3 (18.9)9.7 (16.3)Difference Compared with Path (SD); P value -5.4 (12.6); 0.0132-6.0 (11.7); 0.0194 A complete radiologic response was seen in 25 CESM and 22 MRI cases which was confirmed by pathology in 17 and 14, respectively. Alternatively, CESM and MRI demonstrated residual disease in 15 patients and 18 patients respectively and this was confirmed on pathology in 15 and 15, respectively. Accuracy of CESM vs. MRIModalityResidual Disease by Pathology (N=23)Complete Response by Pathology (N=17)SensitivitySpecificityPPVNPVResidual Disease by CESM (N=15)150Complete Response by CESM (N=25)81765.2%100%100%68%Residual Disease by MRI (N=18)153Complete Response by MRI (N=22)81465.2%82.4%83.3%63.6% All patients who achieved a pCR had an RCB score of 0 indicating no residual cancer in lymph nodes. Among patients with residual disease, their mean RCB score was 2.6 (range 0.8-4.18). CONCLUSION: In this study, CESM was comparable to MRI in assessing residual malignancy after completion of NST, thereby offering a potentially faster and less expensive alternative to MRI for monitoring treatment response in the neoadjuvant setting. Citation Format: Hilal T, Covington M, Sugi M, Zhang N, Pockaj B, Northfelt D, Ocal IT, Patel BK. Contrast-enhanced spectral mammography is comparable to MRI in the assessment of residual breast cancer following neoadjuvant systemic therapy [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD2-11.

Abstract OBJECTIVE: Neoadjuvant endocrine therapy (NET) is increasingly used for the treatment of low and intermediate grade, hormone receptor positive, HER2 negative breast cancer. Several MRI phenotypes that may predict response to neoadjuvant chemotherapy (NAC) have been identified, but little data exists for phenotypes associated with response to NET. This study analyzed imaging phenotypes for all patients treated with NET with the aim to identify specific features that can be predictive of response to therapy. MATERIALS AND METHODS: The study was retrospective and included 21 patients with clinical stage I, II, and III breast cancer. The tumors were grade 1 or 2, estrogen receptor (ER) positive in >20% of cells, and HER2 non-amplified. MRI examinations were performed in all women before NET. MRI interpretation included mass shape, non-mass enhancement (NME) pattern, background parenchymal enhancement, and MRI phenotype (I well-defined unicentric mass; II well defined multilobulated mass; III area enhancement with nodularity; IV area enhancement without nodularity; V septal spreading). Type of neoadjuvant endocrine therapy included: tamoxifien alone, an aromatase inhibitor (AI) alone, AI + ovarian suppression, and AI + a non-chemotherapeutic agent. Patients received NET for a total duration ranging between 3 - 6 months, with one patient receiving therapy for 18 months. Clinically meaningful response was defined as stable or decreased tumor size by clinical exam and confirmed at resection by comparing final pathologic T stage with clinical T stage. RESULTS: Twenty-one patients were identified. Median age was 62 (range 36-84) years. Most were post-menopausal 17 (81%). Pre-neoadjuvant meadian tumor size on MRI was 3.9 (range 1.0-7.5) cm and comprised T1 3 (14.3%), T2 8 (38.1%), T3/4 10 (47.6%). Pre-treatment N stage was N0 14 (66.7%), N1 7 (33.3%) and pre-NET stage was I in 3 (14.3%), II in 8 (38.1%), and III in 10 (47.6%) patients. The majority 17 (81%) had some tumor reduction, and 4 (19%) had no response. No one achieved a complete response. Of the 17 responders, 7 (41%) had a good response defined as >25% decrease in tumor size. Median tumor size after NET was 3.1 (range 0.6-11) cm and the distribution of T stage was T1 7 (33.3%), T2 9 (42.9%), and T3/4 5 (23.8%). Eleven of 12 (92%) patients with well-defined phenotypes had a response as compared to 6 of 9 (67%) patients with non-well defined phenotypes. Phenotype was not predictive of a good response to therapy, 4 were in the well-defined phenotype and 3 were in the non-well defined phenotype groups. All 4 non-responders had moderate or marked background enhancement as compared to 5 of 17 responders (p = 0.02). CONCLUSION: A well-defined pre treatment MRI phenotype was significantly predictive of a positive response to NET, while a non well-defined MRI phenotype and higher degree of background enhancement was significantly predictive of negative response to NET. This warrants further prospective evaluation, especially in association with Ki-67 levels. If validated, pre treatment MRI phenotype can be applied in the clinical decision to either initiate NET or referral for upfront surgical resection. Citation Format: Hilal T, Covington M, Pockaj B, Northfelt D, Wu T, Zwart C, Li J, Patel BK. Pre-neoadjuavnt therapy MRI phenotype can predict response to neoadjuvant endocrine therapy [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P4-02-03.

Abstract Introduction: Striking clinical responses to immunotherapies in subsets of patients with a variety of solid tumors have prompted the search for predictive biomarkers. Recent studies have proposed that gene specific and genome wide mutation and copy number signatures in tumor cells may be predictive of responses to immune checkpoint blockade. Notably high levels of PD-L1 on tumor cells, a context associated with an adaptive immune response, has been linked to specific oncogenic driver lesions including loss of PTEN, activating KRAS mutation, and MYC amplification, and to the total burden of copy number variants (CNVs) in aneuploid tumors. Triple negative breast cancers (TNBCs) typically have multiple driver mutations and high levels of CNVs in their genomes. Thus there is significant interest in exploiting genomic data for the development of prognostic immunotherapy biomarkers for patients with TNBC. Study Design: We interrogated 62 well annotated surgical resections from patients with TNBC and assessed the associations of genomic lesions with expression of PD-1 and PDL-1 in tumor and non-tumor cells in each sample. We applied a systematic approach to rigorously interrogate the genomes of each TNBC sample. Tumor ploidy was initially measured with DNA content flow cytometry followed by sorting the nuclei of distinct diploid, tetraploid, and aneuploid cell populations from each TNBC. The next level of analysis measured genome wide copy number variants (CNV) with oligonucleotide arrays designed for CNV detection using purified (>95%) tumor populations. This enabled the discrimination and mapping of CNVs including single copy losses and gains, focal amplifications, and homozygous deletions across each TNBC genome. Finally we generated whole exome data in a subset of samples to increase the resolution within loci of interest and to incorporate mutations of individual genes into our genomic signatures. This combined approach provides high resolution measures of TNBC genomes from ploidy, whole chromosome and chromosome arm level CNVs, focal amplicons, breakpoints and homozygous deletions, to the level of gene specific indels and mutations. In parallel whole tissue samples were screened by IHC for PD-1 and PD-L1 using validated antibodies and established scoring methods for staining of tumor and non-tumor cells. Results and Conclusions: High levels of PD-1 and PD-L1 were detected in 5/60 (8.3%) and 16/60 (26.7%) evaluable cases with staining of PD-1 exclusively on non tumor cells, while PD-L1 was primarily on tumor cells; 15/16 (93.8%) cases. These data were then used to test the associations of individual recurring genomic lesions, and the extent and nature of chromosome aberrations on the expression patterns of PD-1 and PD-L1. Homozygous deletion of PTEN or activating mutation in PIK3CA did not correlate with increased expression of either immune checkpoint regulator in TNBC cells. Furthermore tumors with highly aberrant aneuploid genomes and distinct oncogenic drivers frequently express relatively low levels of both proteins suggesting an intrinsic escape from immunosurveillance. Citation Format: Barrett MT, Lenkiewicz E, Malasi S, Yearley JH, Annamalai L, McCullough AE, Anderson KS, Pockaj BA. Genomic lesions and PD-1/PD-L1 expression in resected triple negative breast cancers [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-07-05.

131 Background: Research demonstrating a volume-outcome relationship has resulted in regionalization of complex cancer surgery to high volume hospitals. A simultaneous national trend towards improved surgical outcomes brings into question whether the potential benefits of regionalization are still relevant. We hypothesize that the difference in adjusted post-operative mortality between low and high volume hospitals has decreased over time. Methods: The National Cancer Database (NCDB) was used to identify patients with colon, esophageal, and pancreatic cancer undergoing curative intent surgery from 2003-2011. Hospitals were divided into low ( < 25th percentile), medium (25th-75th) and high ( > 75thpercentile) volume groups depending on annual volume of cancer-specific surgery. Year-specific hospital averaged observed/expected (O/E) ratios were calculated for 90-day mortality. Poisson regression was used to model hospital averaged O/E ratios over time. Results: Our study population included 343,929 patients with colon (88%), esophageal (5%) and pancreatic (7%) cancer. There were significant (p < 0.05) improvements in adjusted 90-day mortality from 2003 and 2011 for all volume categories and cancer types, except in high volume hospitals for esophageal cancer. In 2003, high volume hospitals had significantly better outcomes compared to low volume hospitals for all cancer types, as suggested by lower O/E ratios for 90 day mortality (p < 0.05). However, by 2011 the difference in O/E ratios for 90 day mortality was no longer significantly lower for high compared to low volume hospitals (p > 0.05); this was true for all three cancer types (Figure1). Conclusions: During the period of our study, 90-day mortality following gastrointestinal cancer surgery improved in low, medium and high volume hospitals. However, by 2011 the difference in adjusted post-operative mortality between low and high volume hospitals was not significantly different, likely due to global improvements in operative and peri-operative care. This attenuation of the volume-outcome curve has important implications for policy pertaining to regionalization of cancer care in the US.

Background: Patients diagnosed with melanoma of the foot have been reported to have a poor prognosis. We reviewed our experience at a tertiary-care medical clinic to determine the disease course in patients diagnosed with melanoma of the foot. Methods: A retrospective review was performed of 38 patients with a diagnosis of primary or locally recurrent melanoma of the foot treated between January, 1988, and July, 2004. The main outcome measures included methods of diagnosis, clinical and histopathologic features, and patterns of recurrence. Results: The mean age at diagnosis was 61 years; most were women (58%) and Caucasian (95%). The average time to diagnosis was 17 months. Initial clinical diagnosis had been considered benign in 12 (32%). The median Breslow thickness was 1.75 mm, T1 lesions were the most common, and acral lentiginous melanoma accounted for 42%. Thirteen patients (34%) had ulcerated lesions. Sentinel lymph node biopsy specimens of 25 patients identified four (16%) with metastatic disease. Surgical complications occurred in 12 patients, usually after skin graft or soft-tissue flap reconstruction. Systemic recurrence developed in six patients, four of whom also had regional recurrence. Conclusions: Most patients were elderly Caucasian women and most presented with early-stage disease, but diagnosis can be difficult and a subgroup presented with thick melanomas. Reconstructive surgical procedures had a high rate of complications; however, overall functional outcomes were good. Stage of cancer at diagnosis was associated with systemic metastases.