becklab

2016

Eliassen H, Warner E, Rosner B, Collins L, Beck A, Quintana L, Tamimi R, Hankinson S. Plasma 25-Hydroxyvitamin D and Risk of Breast Cancer in Women Followed over 20 Years. Cancer Res 2016;76(18):5423-30.

Experimental evidence supports a protective role of 25-hydroxyvitamin D [25(OH)D] in breast carcinogenesis, but epidemiologic evidence is inconsistent. Whether plasma 25(OH)D interacts with breast tumor expression of vitamin D receptor (VDR) and retinoid X receptor-α (RXR) has not been investigated. We conducted a nested case-control study in the Nurses' Health Study, with 1,506 invasive breast cancer cases diagnosed after blood donation in 1989-1990, 417 of whom donated a second sample in 2000-2002. VDR and RXR expression were assessed by immunohistochemical staining of tumor microarrays (n = 669 cases). Multivariate relative risks (RR) and 95% confidence intervals (CI) were calculated using conditional logistic regression. Plasma 25(OH)D levels were not associated with breast cancer risk overall [top (≥32.7 ng/mL) vs. bottom (

Dong F, Davineni P, Howitt B, Beck A. A BRCA1/2 Mutational Signature and Survival in Ovarian High-Grade Serous Carcinoma. Cancer Epidemiol Biomarkers Prev 2016;25(11):1511-1516.

BACKGROUND: Mutational signatures have been identified by the broad sequencing of cancer genomes and reflect underlying processes of mutagenesis. The clinical application of mutational signatures is not well defined. Here we aim to assess the prognostic utility of mutational signatures in ovarian high-grade serous carcinoma. METHODS: Open access data of 15,439 somatic mutations of 310 ovarian high-grade serous carcinomas from The Cancer Genome Atlas (TCGA) are used to construct a Bayesian model to classify each cancer as either having or lacking a BRCA1/2 mutational signature. We evaluate the association of the BRCA1/2 signature with overall survival on the TCGA dataset and on an independent cohort of 92 ovarian high-grade serous carcinomas from the Australian Ovarian Cancer Study (AOCS). RESULTS: Patients from TCGA with tumors harboring the BRCA1/2 mutational signature have improved survival (55.2 months vs. 38.0 months), which is independent of BRCA1/2 gene mutation status, age, stage, and grade (HR = 0.64; P = 0.02). In the AOCS dataset, the BRCA1/2 mutational signature is also associated with improved overall survival (46.3 months vs. 23.6 months) independent of age and stage (HR = 0.52; P = 0.007). CONCLUSIONS: A BRCA1/2 mutational signature is a prognostic marker in ovarian high-grade serous carcinoma. Mutational signature analysis of ovarian cancer genomes may be useful in addition to testing for BRCA1/2 mutations. IMPACT: This study identifies the use of mutational signatures as a biomarker for survival outcome in ovarian high-grade serous carcinoma. Cancer Epidemiol Biomarkers Prev; 25(11); 1511-6. ©2016 AACR.

Ngo M, Han A, Lakatos A, Sahoo D, Hachey S, Weiskopf K, Beck A, Weissman I, Boiko A. Antibody Therapy Targeting CD47 and CD271 Effectively Suppresses Melanoma Metastasis in Patient-Derived Xenografts. Cell Rep 2016;16(6):1701-16.

The high rate of metastasis and recurrence among melanoma patients indicates the existence of cells within melanoma that have the ability to both initiate metastatic programs and bypass immune recognition. Here, we identify CD47 as a regulator of melanoma tumor metastasis and immune evasion. Protein and gene expression analysis of clinical melanoma samples reveals that CD47, an anti-phagocytic signal, correlates with melanoma metastasis. Antibody-mediated blockade of CD47 coupled with targeting of CD271(+) melanoma cells strongly inhibits tumor metastasis in patient-derived xenografts. This therapeutic effect is mediated by drastic changes in the tumor and metastatic site immune microenvironments, both of whichwhich exhibit greatly increased density of differentiated macrophages and significantly fewer inflammatory monocytes, pro-metastatic macrophages (CCR2(+)/VEGFR1(+)), and neutrophils, all of which are associated with disease progression. Thus, antibody therapy that activates the innate immune response in combination with selective targeting of CD271(+) melanoma cells represents a powerful therapeutic approach against metastatic melanoma.

Irshad H, Oh E-Y, Schmolze D, Quintana LM, Collins L, Tamimi RM, Beck AH. Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational Method . arXiv 2016;

Publisher's Version

The assessment of protein expression in immunohistochemistry (IHC) images provides important diagnostic, prognostic and predictive information for guiding cancer diagnosis and therapy. Manual scoring of IHC images represents a logistical challenge, as the process is labor intensive and time consuming. Since the last decade, computational methods have been developed to enable the application of quantitative methods for the analysis and interpretation of protein expression in IHC images. These methods have not yet replaced manual scoring for the assessment of IHC in the majority of diagnostic laboratories and in many large-scale research studies. An alternative approach is crowdsourcing the quantification of IHC images to an undefined crowd. The aim of this study is to quantify IHC images for labeling of ER status with two different crowdsourcing approaches, image labeling and nuclei labeling, and compare their performance with automated methods. Crowdsourcing-derived scores obtained greater concordance with the pathologist interpretations for both image labeling and nuclei labeling tasks (83% and 87%), as compared to the pathologist concordance achieved by the automated method (81%) on 5,483 TMA images from 1,909 breast cancer patients. This analysis shows that crowdsourcing the scoring of protein expression in IHC images is a promising new approach for large scale cancer molecular pathology studies.

1606.06681v1.pdf878.09 KB

Wang D, Khosla A, Gargeya R, Irshad H, Beck A. Deep Learning for Identifying Metastatic Breast Cancer. arXiv 2016;

Publisher's Version

The International Symposium on Biomedical Imaging
(ISBI) held a grand challenge to evaluate computational
systems for the automated detection of metastatic breast
cancer in whole slide images of sentinel lymph node biopsies.
Our team won both competitions in the grand challenge,
obtaining an area under the receiver operating curve
(AUC) of 0.925 for the task of whole slide image classification
and a score of 0.7051 for the tumor localization task.
A pathologist independently reviewed the same images, obtaining
a whole slide image classification AUC of 0.966 and
a tumor localization score of 0.733. Combining our deep
learning system’s predictions with the human pathologist’s
diagnoses increased the pathologist’s AUC to 0.995, representing
an approximately 85 percent reduction in human
error rate. These results demonstrate the power of using
deep learning to produce significant improvements in the
accuracy of pathological diagnoses.

1606.05718v1.pdf8.8 MB

Nagarkar D, Mercan E, Weaver D, Brunyé T, Carney P, Rendi M, Beck A, Frederick P, Shapiro L, Elmore J. Region of interest identification and diagnostic agreement in breast pathology. Mod Pathol 2016;29(9):1004-11.

A pathologist's accurate interpretation relies on identifying relevant histopathological features. Little is known about the precise relationship between feature identification and diagnostic decision making. We hypothesized that greater overlap between a pathologist's selected diagnostic region of interest (ROI) and a consensus derived ROI is associated with higher diagnostic accuracy. We developed breast biopsy test cases that included atypical ductal hyperplasia (n=80); ductal carcinoma in situ (n=78); and invasive breast cancer (n=22). Benign cases were excluded due to the absence of specific abnormalities. Three experienced breast pathologists conducted an independent review of the 180 digital whole slide images, established a reference consensus diagnosis and marked one or more diagnostic ROIs for each case. Forty-four participating pathologists independently diagnosed and marked ROIs on the images. Participant diagnoses and ROI were compared with consensus reference diagnoses and ROI. Regression models tested whether percent overlap between participant ROI and consensus reference ROI predicted diagnostic accuracy. Each of the 44 participants interpreted 39-50 cases for a total of 1972 individual diagnoses. Percent ROI overlap with the expert reference ROI was higher in pathologists who self-reported academic affiliation (69 vs 65%, P=0.002). Percent overlap between participants' ROI and consensus reference ROI was then classified into ordinal categories: 0, 1-33, 34-65, 66-99 and 100% overlap. For each incremental change in the ordinal percent ROI overlap, diagnostic agreement increased by 60% (OR 1.6, 95% CI (1.5-1.7), P

Gupta M, Babic A, Beck A, Terry K. TNF-α expression, risk factors, and inflammatory exposures in ovarian cancer: evidence for an inflammatory pathway of ovarian carcinogenesis?. Hum Pathol 2016;54:82-91.

Inflammatory cytokines, like tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), are elevated in ovarian cancer. Differences in cytokine expression by histologic subytpe or ovarian cancer risk factors can provide useful insight into ovarian cancer risk and etiology. We used ribonucleic acid in situ hybridization to assess TNF-α and IL-6 expression on tissue microarray slides from 78 epithelial ovarian carcinomas (51 serous, 12 endometrioid, 7 clear cell, 2 mucinous, 6 other) from a population-based case-control study. Cytokine expression was scored semiquantitatively, and odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using polytomous logistic regression. TNF-α was expressed in 46% of the tumors, whereas sparse IL-6 expression was seen in only 18% of the tumors. For both markers, expression was most common in high-grade serous carcinomas followed by endometrioid carcinomas. Parity was associated with a reduced risk of TNF-α-positive (OR, 0.3; 95% CI, 0.1-0.7 for 3 or more children versus none) but not TNF-α-negative tumors (P heterogeneity=.02). In contrast, current smoking was associated with a nearly 3-fold increase in risk of TNF-α-negative (OR, 2.8; 95% CI, 1.2-6.6) but not TNF-α-positive tumors (P heterogeneity = .06). Our data suggest that TNF-α expression in ovarian carcinoma varies by histologic subtype and provides some support for the role of inflammation in ovarian carcinogenesis. The novel associations detected in our study need to be validated in a larger cohort of patients in future studies.

Guarnerio J, Bezzi M, Jeong JC, Paffenholz S, Berry K, Naldini M, Lo-Coco F, Tay Y, Beck A, Pandolfi PP. Oncogenic Role of Fusion-circRNAs Derived from Cancer-Associated Chromosomal Translocations. Cell 2016;165(2):289-302.

Chromosomal translocations encode oncogenic fusion proteins that have been proven to be causally involved in tumorigenesis. Our understanding of whether such genomic alterations also affect non-coding RNAs is limited, and their impact on circular RNAs (circRNAs) has not been explored. Here, we show that well-established cancer-associated chromosomal translocations give rise to fusion circRNAs (f-circRNA) that are produced from transcribed exons of distinct genes affected by the translocations. F-circRNAs contribute to cellular transformation, promote cell viability and resistance upon therapy, and have tumor-promoting properties in in vivo models. Our work expands the current knowledge regarding molecular mechanisms involved in cancer onset and progression, with potential diagnostic and therapeutic implications.

Hirko K, Willett W, Hankinson S, Rosner B, Beck A, Tamimi R, Eliassen H. Healthy dietary patterns and risk of breast cancer by molecular subtype. Breast Cancer Res Treat 2016;155(3):579-88.

We examined associations between dietary quality indices and breast cancer risk by molecular subtype among 100,643 women in the prospective Nurses' Health Study (NHS) cohort, followed from 1984 to 2006. Dietary quality scores for the Alternative Healthy Eating Index (AHEI), alternate Mediterranean diet (aMED), and Dietary Approaches to Stop Hypertension (DASH) dietary patterns were calculated from semi-quantitative food frequency questionnaires collected every 2-4 years. Breast cancer molecular subtypes were defined according to estrogen receptor (ER), progesterone receptor, human epidermal growth factor 2 (HER2), cytokeratin 5/6 (CK5/6), and epidermal growth factor receptor status from immunostained tumor microarrays in combination with histologic grade. Cox proportional hazards models, adjusted for age and breast cancer risk factors, were used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs). Competing risk analyses were used to assess heterogeneity by subtype. We did not observe any significant associations between the AHEI or aMED dietary patterns and risk of breast cancer by molecular subtype. However, a significantly reduced risk of HER2-type breast cancer was observed among women in 5th versus 1st quintile of the DASH dietary pattern [n = 134 cases, Q5 vs. Q1 HR (95 % CI) = 0.44 (0.25-0.77)], and the inverse trend across quintiles was significant (p trend = 0.02). We did not observe any heterogeneity in associations between AHEI (p het = 0.25), aMED (p het = 0.71), and DASH (p het = 0.12) dietary patterns and breast cancer by subtype. Adherence to the AHEI, aMED, and DASH dietary patterns was not strongly associated with breast cancer molecular subtypes.

Ma J, Malladi S, Beck A. Systematic Analysis of Sex-Linked Molecular Alterations and Therapies in Cancer. Sci Rep 2016;6:19119.

Though patient sex influences response to cancer treatments, little is known of the molecular causes, and cancer therapies are generally given irrespective of patient sex. We assessed transcriptomic differences in tumors from men and women spanning 17 cancer types, and we assessed differential expression between tumor and normal samples stratified by sex across 7 cancers. We used the LincsCloud platform to perform Connectivity Map analyses to link transcriptomic signatures identified in male and female tumors with chemical and genetic perturbagens, and we performed permutation testing to identify perturbagens that showed significantly differential connectivity with male and female tumors. Our analyses predicted that females are sensitive and males are resistant to tamoxifen treatment of lung adenocarcinoma, a finding which is consistent with known male-female differences in lung cancer. We made several novel predictions, including that CDK1 and PTPN1 knockdown would be more effective in males with hepatocellular carcinoma, and SMAD3 and HSPA4 knockdown would be more effective in females with head and neck squamous cell carcinoma. Our results provide a new resource for researchers studying male-female biological and treatment response differences in human cancer. The complete results of our analyses are provided at the website accompanying this manuscript (http://becklab.github.io/SexLinked).

Publications by Year: 2016

2016