Citations

Abstract It is now widely accepted that a spectrum of somatic alterations occur in human cancer and that particular alterations are associated with response or lack of response to anti-cancer therapies. Here, we undertook a systematic correlation analysis of somatic mutations, copy number aberrations and drug response across 300+ human cancer cell lines. We studied the RAF and VEGFR inhibitor, sorafenib, evaluating associations between sorafenib response and somatic mutations in 35 common cancer genes and high-level amplifications and homozygous deletions in more than 100 minimal common regions of gain and loss, which include many known oncogenes and tumor suppressor genes. Notably, we found that NRAS mutations, among other alterations, were significantly associated with sensitivity to sorafenib (odds ratio = 7, p-value = 0.003), whereas activating BRAF mutations were strongly associated with a lack of response (odds ratio = 4.9, p-value = 0.012). Specifically, 64% (7 of 11) of NRAS mutant cell lines were sensitive to sorafenib, while only 20% (34 of 170) of NRAS wild-type lines were sensitive. On the contrary, just 6.7% (2 of 30) of BRAF mutant lines were sensitive to sorafenib. Because NRAS mutations occur frequently in leukemia and no leukemia cell lines were included in the original analysis, we selected 5 NRAS mutant and 5 NRAS wild-type leukemia cell lines for further evaluation. Consistent with our previous observation, the four most sensitive leukemia cell lines were all NRAS mutant, each line exhibiting greater than 50% growth inhibition after 72 hours of exposure to 4μM sorafenib. These results confirm the original association and suggest that across both solid tumors and hematologic malignancies, NRAS mutations may identify a subset of cancers that are likely to respond sorafenib. In addition, this work demonstrates that systematic analysis of somatic alterations and drug response across a large collection of cancer cell lines is capable of discovering novel predictive biomarkers. Citation Information: Clin Cancer Res 2010;16(7 Suppl):A41

Abstract Pancreatic cancer is a devastating disease for which the role of dietary risk factors remains inconclusive. We evaluated fruit, vegetable, fiber, and grain consumption with pancreatic cancer risk using a clinic-based case-control design, excluding participants who reported changing their diet within 5 years prior to entering the study. Our study included 384 rapidly ascertained cases and 983 non-cases (frequency matched on age at time of recruitment (± 5 years), race, sex, and region of residence) who completed epidemiologic surveys and a 144-item food frequency questionnaire developed by the National Cancer Institute. Logistic regression was used to calculate odds ratios (OR) and 95% CIs, adjusted for age, sex, smoking, body mass index, energy intake, and alcohol consumption. Comparing highest to lowest quintiles, we observed significant (OR < 0.01) inverse associations with significant trends (ptrend < 0.01) for citrus, melon, and berries, other fruit, dark green vegetables, deep yellow vegetables, tomato, other vegetables, dry bean and pea, insoluble fiber, soluble fiber, and whole grains. Adjusting for diabetes or total sugar intake in the multivariate logistic regression model did not significantly affect results. Consuming a diet high in fruits, vegetables, fiber, and whole grains may reduce the risk of developing pancreatic cancer. Citation Information: Cancer Prev Res 2010;3(12 Suppl):A85.

Abstract Background: Gene expression profiling is an important tool in prediction, prognosis, and cancer modeling. The DASL® assay (cDNA –mediated Annealing, extension, Selection, and Ligation; Illumina; San Diego, CA) is a gene expression profiling system designed for degraded RNAs such as those derived from formalin-fixed paraffin-embedded (FFPE) tumor samples. FFPE tumor samples are invaluable resources for cancer research, being the most widely available materials for which patient outcomes are known. Purpose: The objective of this study was to evaluate the performance of Illumina's Whole Genome DASL platform (24,526; 24K) at distinguishing HER2-positive (HER2+) from HER2-negative (HER2-) FFPE breast tumors. Methods: We measured the relative gene expression of biological and technical replicates using nine HER2+ and 11 HER2- primary breast tumors from patients that were all node-positive and estrogen receptor-positive. The HER2 status of the tumors was determined using the Dako Hercept Test following the 2007 ASCO/CAP guidelines for HER2 positivity. The non-background corrected probe-expression data were exported from Illumina BeadStudio software and normalized using the software R and the function fastlo. Log2 transformed expression values were used to obtain the relative gene expression per probe. Spearman correlations were calculated between both types of replicates. Unequal-variance t-tests were conducted to test for differences in expression levels between HER2+ and HER2- tumors. An overall ERBB2 gene expression level was calculated by taking the average of the three ERBB2 probes for each tumor across all replicates. To simulate the possible outcome if only one replicate of each tumor was measured for gene expression, differential expression was tested for all possible combinations of single replicate probe expression values. Results: Spearman correlations for technical and biological replicates within tumor samples ranged from 0.9804 – 0.9946, and 0.9822 – 0.9945, respectively. The overall ERBB2 gene expression was significantly lower in HER2- tumors than in HER2+ tumors (p = 0.0000018). The top five most differentially expressed genes (p < 0.0005) included ERBB2, GRB7, C17ORF37, PERLD1, and ASF1B. For each of the three ERBB2 probes, there were 65,536 possible ways to combine the individual probe expression values. The p-values for testing differential expression in each of these 65,536 combinations of HER2+ tumors versus HER2- tumors ranged from 0.00029 – 0.0091 for ILMN_1717902, 0.0000078 – 0.00026 for ILMN_1728761, and 0.000000002 – 0.0000032 for ILMN-2352131. Conclusions: Illumina's Whole Genome Platform provided highly reproducible gene expression values among biological and technical replicates of breast tumors. This platform also demonstrated significant differential ERBB2 gene expression between HER2+ and HER- breast tumors, which correctly classified the breast tumors as HER2+ and HER2-. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 6127.

Abstract Resistance to hormonal therapy is a clinically unmet need in breast cancer. IGF signaling has been identified as a major mechanism of resistance to hormonal therapy in breast cancer. As components of the IGF signaling pathway are expressed in most breast cancers, the development of IGF-1R monoclonal antibody (mAb) and tyrosine kinase inhibitors (TKI) are active areas of clinical investigations. A key distinction between the mAb and TKIs are their differences in their ability to inhibit the Insulin Receptor (InsR). While targeting the InsR with TKIs may have a theoretical liability of hyperglycemia, targeting only the IGF-1R may have the theoretical liability of incompletely blocking IGF signaling. As InsR isoform A expression, which can transduce IGF-II-mediated proliferation, is higher in breast cancers compared to normal breast tissue, we investigated whether IGF-1R or IGF-1R/InsR inhibition was sufficient for overcoming resistance to hormonal therapy. To determine the optimal combination strategies for clinical investigations, we tested the hypothesis that IGF signaling inhibition could overcome primary (or de novo/intrinsic) and secondary (or acquired/selected) resistance to hormonal therapy. For these studies, we used either hormone therapy-naïve or hormone therapy-resistant variants of the breast cancer model, MCF-7/AC-1, which has been engineered to stably express full-length human aromatase. We employed and compared a novel, potent dual kinase inhibitor of the IGF-1R and InsR, BMS-754807, which is currently in early clinical investigations, with the IGF-1R antibody mAb391. BMS-754807 has been shown to induce apoptosis more potently than mAb391 in Rh41 human rhabdomyosarcoma cells. In vitro, BMS-754807 demonstrated profound synergy in combination with tamoxifen and letrozole (median effect combination index <0.1). In vivo, BMS-754807 enhanced the anti-tumor activity of tamoxifen and letrozole in hormone-naïve tumors and induced regression of tumors resistant to tamoxifen or letrozole when combined with letrozole. This activity was not observed with mAb therapy, which resulted in greater up-regulation of InsR-A and erbB receptor expression and activation. This suggested a greater susceptibility to resistance pathways with mAb therapy. Dual IGF-1R/InsR blockade alone or in combination was tolerated by the animals and has no significant change in glucose homeostasis. Gene expression profiling experiments to compare the difference between the effects of tamoxifen in combination with BMS-754807 and with mAb revealed alternative pathway signaling is one of the potential mechanisms of resistance.In summary, combined hormonal therapy with BMS-754807 overcomes primary and secondary resistance to tamoxifen and letrozole and was well tolerated. IGF-1R blockade with a mAb alone is insufficient to overcome resistance and induces InsR over-expression. Thus, IGF signaling through either InsR or IGF-1R may be a major mechanism of resistance to hormonal therapy. These data suggest that blockade of IGF-1 and IGF-II from activation of IGF-1R and InsR, with agents such as BMS-754807 have promise in extending the benefits of hormonal therapy in breast cancer. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 402.

Abstract Background: Despite the impressive results of the trastuzumab adjuvant therapy trials, 15% of patients (pts) with HER2 overexpressing or amplified breast cancer developed tumor relapse at 4 years. Lapatinib is a reversible tyrosine kinase inhibitor against ErbB1 and ErbB2. The current study was developed to assess the cardiac safety and feasibility of adding lapatinib to paclitaxel and trastuzumab following doxorubicin and cyclophosphamide as part of adjuvant therapy.Methods: A single-arm phase II study of doxorubicin (A, 60 mg/m2 day 1) and cyclophosphamide (C, 600 mg/m2 day 1) [q2w or q3w for 4 cycles]; followed by PTL: paclitaxel (P, 80 mg/m2 weekly), trastuzumab (T, 4 mg/kg loading dose then 2 mg/kg weekly), and lapatinib (L, 1000 mg PO daily which was later amended to 750 mg) [total of 12 weeks of treatment]; followed by T (6 mg/kg day 1, every 3 weeks) and L (1000 mg PO daily) [total of 40 weeks of treatment] was conducted. The primary endpoint was severe symptomatic congestive heart failure (CHF: New York Heart Association Class III or IV with a drop in left ventricular ejection fraction [LVEF] of at least 10 percentage points to below 50% confirmed by cardiologist) with secondary endpoints of cardiac death and grade 3+ cardiac adverse events (AEs).Results: From April 2007 to October 2008, 109 evaluable pts were enrolled and initiated study treatment. Median age was 51 (range 28-72). Median follow-up is 10.2 months. No pts experienced CHF or cardiac death while on active treatment. One pt had CHF and 1 pt died due to myocardial infarction (MI) after they went off study treatment. The pt with CHF refused further treatment after completing 2 cycles of PTL and had CHF 1.8 months post PTL discontinuation with LVEF of 45% and dyspnea on exertion. The pt with MI went off study treatment due to non-cardiac AEs after completing 2 cycles of PTL and died 2.9 months post PTL discontinuation. Mean LVEF at baseline was 63.6% (N=109, SD=5.7); end of AC was 63.3% (N=104, SD=6.4); end of PTL was 59.9% (N=89, SD=8.3); and cycle 12 was 59.7% (N=66, SD=7.1). Grade 3+ non-hematologic AEs with incidence >5% include diarrhea (N=42, 39% & included both 1000mg & later amended 750mg dosing), fatigue (N=15, 14%), nausea (N=7, 6%), vomiting (N=7, 6%), acne (N=6, 6%), and hypokalemia (N=6, 6%). Pre-treatment cardiac marker data (troponin-T, troponin-I, brain natriuretic peptide, creatine kinase MB isoenzyme) will also be presented.Conclusions: Preliminary data suggest that the inclusion of L does not add to the cardiac profile of T. Data from ALTTO and long-term follow data are needed to confirm the cardiac safety of this regimen. Cardiac marker data are being analyzed in the context of changes in LVEF. We gratefully acknowledge support from the Breast Cancer Research Foundation and GlaxoSmthKline for this study. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 3086.

Abstract Background: Genetic susceptibility for cancer can differ substantially among families. We use trait-related covariates to identify a genetically homogeneous subset of families with the best evidence for linkage in the presence of heterogeneity. Methods: We performed a genome-wide linkage screen in 93 families. Samples and data were collected by the familial lung cancer recruitment sites of the Genetic Epidemiology of Lung Cancer Consortium. We estimated linkage scores for each family by the Markov chain Monte Carlo procedure using SimWalk2 software. We used ordered subset analysis (OSA) to identify genetically homogenous families by ordering families based on a disease-associated covariate. We performed permutation tests to determine the relationship between the trait-related covariate and the evidence for linkage. Results: A genome-wide screen for lung cancer loci identified strong evidence for linkage to 6q23–25 and suggestive evidence for linkage to 12q24 using OSA, with peak logarithm of odds (LOD) scores of 4.19 and 2.79, respectively. We found other chromosomes also suggestive for linkages, including 5q31–q33, 14q11, and 16q24. Conclusions: Our OSA results support 6q as a lung cancer susceptibility locus and provide evidence for disease linkage on 12q24. This study further increased our understanding of the inheritability for lung cancer. Validation studies using larger sample size are needed to verify the presence of several other chromosomal regions suggestive of an increased risk for lung cancer and/or other cancers. Impact: OSA can reduce genetic heterogeneity in linkage study and may assist in revealing novel susceptibility loci. Cancer Epidemiol Biomarkers Prev; 19(12); 3157–66. ©2010 AACR.

Abstract Purpose: The purpose of this study was to describe breast cancer risk factors and screening patterns in a sample of American Indian and Alaska Native (AI/AN) women from four tribes within the Bemidji Area of the Indian Health Service (Northern Plains region), and to ascertain the association between risk factors and adherence to mammographic screening guidelines. The IHS has noted that economic factors make increases in screening participation difficult. In this light, understanding the relationship between risk factors and screening adherence is an important first step in developing interventions to improve screening participation, especially for women at higher risk of breast cancer. Lending importance to the role of screening in reducing breast cancer deaths in Northern Plains AI/AN women are rates of later stage (regional or distant disease) diagnoses that are equal to the Non-Hispanic White (NHW) population (95.8 and 95.4/100,000 respectively). Later stage at diagnosis is associated with worse survival profiles. Procedures/Methods: Criteria for inclusion in this study were: ≥ 40 years of age, at least one mammogram on file, and no history of breast cancer. We reviewed the charts of 20% of eligible women in four tribes (1190 records). The study collected Gail Model risk factor data and also assigned BIRADS scores to at least one mammogram for each woman. For each Gail Model risk factor (age, age at menarche, age at first live birth, number of first degree relatives with a breast cancer history, breast biopsy, number of biopsies, history or atypical hyperplasia), women were assigned to higher or lower risk categories by comparison with calculated scores for women of the same age. Overall five-year and lifetime Gail Model risk scores also were calculated for each woman and compared with predicted risk for women of equivalent ages. For breast density, women were determined to be at lower risk if their BIRADS score was 1 or 2, and at higher risk if they were scored 3 or 4. To ascertain levels of screening adherence, we followed American Cancer Society (ACS) guidelines which recommend an annual mammogram beginning at age 40. We used this standard because it is the recommendation given to women in the clinics where the study was conducted. All women who received screening exams within 1.2 years (14.4 months) were considered adherent. Summary of Findings: There was no significant difference between overall Gail Model 5-year risk scores of Bemidji Area AI/AN women and the predicted scores. Bemidji Area women have a significantly lower lifetime risk than what is predicted. For individual risk factors, high screening adherence was significantly associated only with chronological age (p = 0.04) and history of biopsy (p =0.02). There was no significant association between screening adherence and BIRADS density scores. Conclusions: Absence of a relationship between risk and adherence, which is low generally, suggests that women are not using their individual risk factors or their overall risk to guide their screening decisions. This suggests that personal and clinic-centered mediators should be identified to guide future interventions to increase the proportion of women who adhere to screening guidelines, especially women who are at greater risk. Citation Information: Cancer Epidemiol Biomarkers Prev 2010;19(10 Suppl):B106.

PurposeTo determine whether increased duration of radiation therapy (RT) and overall treatment (RX) time has a detrimental effect in anal cancer.Patients and MethodsData from Radiation Therapy Oncology Group (RTOG) 87-04 and RTOG 98-11 trials were combined to form three treatment groups: RT/fluorouracil (FU)/mitomycin (n = 472), RT/FU/cisplatin (n = 320), and RT/FU (n = 145). Cox proportional hazards models were used with the following variables: RT duration, RT intensity, RX duration, treatment group, age, sex, Karnofsky performance score (KPS), T stage, N stage, and RT dose.ResultsIn the univariate analysis, there was a significant association between RX duration and colostomy failure (CF; hazard ratio [HR] = 1.51; 95% CI, 1.07 to 2.14; P = .02), local failure (HR = 1.52; 95% CI, 1.14 to 2.03; P = .005), locoregional failure (HR = 1.51; 95% CI, 1.15 to 1.98; P = .003), and time to failure (HR = 1.40; 95% CI, 1.10 to 1.79; P = .007). The significance of RX duration was maintained after adjusting for treatment group. In multivariate modeling there was a trend toward an association between RX duration and CF (HR = 1.57; 95% CI, 0.98 to 2.50; P = .06) and a statistically significant association with local failure (HR = 1.96; 95% CI, 1.34 to 2.87; P = .0006). Age, sex, KPS, T stage, N stage, and RT dose, but not RT duration, RT intensity, or RX duration, were found to be statistically significant predictors of OS and colostomy-free survival.ConclusionTotal treatment time, but not duration of radiation therapy, seems to have a detrimental effect on local failure and colostomy rate in anal cancer. Induction chemotherapy may contribute to local failure by increasing total treatment time.

Abstract Long-term outcomes and hence the role of adjuvant therapy in patients with small (≤1 cm), node-negative breast cancer remain unclear. This study's objective was to evaluate whether human epidermal growth factor receptor (HER)-2 status is an independent, poor prognostic marker in patients with these tumors and to identify a subgroup of patients with these small tumors who might benefit from adjuvant systemic therapy. All patients with a diagnosis of a node-negative breast tumor measuring ≤1 cm and available HER-2 test results between January 1, 2001, and December 31, 2005, at the three Mayo Clinic sites were identified. Clinicopathologic data were compared in three groups: HER-2−, HER-2+, and triple-negative (TN) tumors. Of the 421 tumors identified, 364 (86.5%) were HER-2−, 28 (6.7%) were HER-2+, and 29 (6.9%) were TN. The median follow-up time was 1,015 days (range, 1–2,549 days). Groups were balanced in terms of patient age and tumor histology. Eleven patients with HER-2− tumors (3.0%), seven with HER-2+ tumors (25.0%), and eight with TN tumors (27.6%) received adjuvant chemotherapy. Follow-up data were available for 357, 28, and 28 patients in the three groups, respectively. Death rates in the three groups were 6.4% (23 of 357) (one recurrence-related death), 0% (0 of 28), and 7.1% (2 of 28) (one recurrence-related death), respectively. During follow-up, the tumor recurred in nine patients: four were HER-2− tumors (1.1%), two were HER-2+ tumors (7.1%), and three were TN tumors (10.7%). Patients with small, node-negative breast tumors have an excellent prognosis, but HER-2+ and TN tumors appear to have a higher recurrence rate, warranting consideration for broad use and optimization of systemic adjuvant treatments.

Preceding the joint meeting of the 19th annual Diabetic Neuropathy Study Group of the European Association for the Study of Diabetes (NEURODIAB) and the 8th International Symposium on Diabetic Neuropathy in Toronto, Canada, 13–18 October 2009, expert panels were convened to provide updates on classification, definitions, diagnostic criteria, and treatments of diabetic peripheral neuropathies (DPNs), autonomic neuropathy, painful DPNs, and structural alterations in DPNs.