Scholars@Duke
Jeffrey R. Marks

Jeffrey R. Marks

Joseph W. and Dorothy W. Beard Distinguished Professor of Experimental Surgery
Surgery, Surgical Sciences
marks003@mc.duke.edu
Box 3873 Med Ctr, Durham, NC 27710
B216, LSRC, Duke University, Durham, NC 27710

Scholarly Works - Conferences

Polyploid circulating stromal cells in blood to identify invasive solid tumors and to prognosticate for highly aggressive cancer subtypes.

Conference Journal of Clinical Oncology · June 1, 2024 Background: Recently, early studies have identified circulating stromal cells (CStCs), i.e. Cancer Associated Macrophage-Like cells (CAMLs), in patients (pts) with newly diagnosed invasive cancers, which are phagocytic myeloid immune cells emanating from p ... Full text Cite

Abstract PR002: Genomic predictor can discriminate between high- and low-risk DCIS

Conference Cancer Prevention Research · December 1, 2022 AbstractIntroduction: Ductal carcinoma in situ (DCIS) is considered a non-obligate precursor of invasive ductal carcinoma. With the aim of preventing a subsequent invasive cancer, all DCIS lesions are curren ... Full text Cite

Genomic predictor can discriminate between high- and low-risk DCIS

Conference CANCER PREVENTION RESEARCH · December 1, 2022 Link to item Cite

Abstract PO-232: Racial differences in the tumor immune landscape and survival of high-grade serous ovarian carcinoma

Conference Cancer Epidemiology, Biomarkers & Prevention · January 1, 2022 AbstractA survival benefit has been consistently observed for tumor infiltrating lymphocytes (TILs) among ovarian cancer patients; however, prior studies consist of predominantly white women and little work ... Full text Cite

Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2022 Ductal Carcinoma In Situ (DCIS) is a non-obligatory precursor of Invasive Breast Cancer. It is the most common mammographically detected breast cancer. Predicting DCIS progression to invasive ductal carcinoma is a major clinical challenge due to the lack o ... Full text Cite

DCIS AI-TIL: Ductal Carcinoma In Situ Tumour Infiltrating Lymphocyte Scoring Using Artificial Intelligence

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2022 Tumour infiltrating lymphocytes (TIL) influence the prognosis of Ductal carcinoma in situ (DCIS). Currently, manual assessment of TIL by expert pathologists is considered a gold standard. However, there are issues with a shortage of expert pathologists and ... Full text Cite

Unmasking the immune microecology of ductal carcinoma in situ with deep learning

Conference Npj Breast Cancer · December 1, 2021 Despite increasing evidence supporting the clinical relevance of tumour infiltrating lymphocytes (TILs) in invasive breast cancer, TIL spatial variability within ductal carcinoma in situ (DCIS) samples and its association with progression are not well unde ... Full text Cite

Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2021 In mammography and tomosynthesis, radiologists use the geometric relationship of the four standard screening views to detect breast abnormalities. To date, computer aided detection methods focus on formulations based only on a single view. Recent multi-vie ... Full text Cite

Abstract 2502: Genetic and functional heterogeneity of DCIS as predictors of invasive cancer

Conference Cancer Research · August 15, 2020 AbstractGenetic diversity both between and within individual tumors constitutes a challenge to personalized cancer medicine. Intra-tumor heterogeneity provides the genetic fuel for natural selection in clona ... Full text Cite

Abstract P1-21-07: The Patient-reported Outcomes after Routine Treatment of Atypical Lesions (PORTAL) study: Pain, psychosocial wellbeing, and quality of life among women undergoing guideline concordant care for DCIS vs. active surveillance for in situ and atypical lesions

Conference Cancer Research · February 15, 2020 AbstractBackground: Guideline-concordant care (GCC) for DCIS includes surgery, radiation, and endocrine treatment. Active surveillance (AS) is a strategy under study for management of low risk DCIS. The PORT ... Full text Cite

Abstract P2-10-18: Deciphering racial disparities in breast cancer collagen reorganization by targeted extracellular matrix proteomics

Conference Cancer Research · February 15, 2020 AbstractAlthough European American women have a higher incidence of breast cancer, African American women have higher mortality rates with increased occurrence of lethal cancers at a younger age. Breast dens ... Full text Cite

Microcalcification localization and cluster detection using unsupervised convolutional autoencoders and structural similarity index

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2020 Detecting microcalcification clusters in mammograms is important to the diagnosis of breast diseases. Previous studies which mainly focused on supervised methods require abundant annotated training data but these data are usually hard to acquire. In this w ... Full text Cite

A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2020 We proposed a two-branch multitask learning convolutional neural network to solve two different but related tasks at the same time. Our main task is to predict occult invasive disease in biopsy proven Ductal Carcinoma in-situ (DCIS), with an auxiliary task ... Full text Cite

Abstract P3-06-12: Genetic heterogeneity of DCIS is a predictor of invasive cancer

Conference Cancer Research · February 15, 2019 AbstractBackground: Heterogeneity is a hallmark of human cancers that is apparent both between and within individual tumors. Intra-tumor heterogeneity provides the genetic fuel for natural selection in clona ... Full text Cite

Synthesis and texture manipulation of screening mammograms using conditional generative adversarial network

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2019 Annotated data availability has always been a major limiting f actor for the development of algorithms in the field of computer aided diagnosis. The purpose of this study is to investigate the feasibility of using a conditional generative adversarial netwo ... Full text Cite

Multiview mammographic mass detection based on a single shot detection system

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2019 Detection of suspicious breast cancer lesion in screening mammography images is an important step for the downstream diagnosis the of breast cancer. A trained radiologist can usually take advantage of multi-view correlation of suspicious lesions to locate ... Full text Cite

Mask Embedding for Realistic High-Resolution Medical Image Synthesis

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2019 Generative Adversarial Networks (GANs) have found applications in natural image synthesis and begin to show promises generating synthetic medical images. In many cases, the ability to perform controlled image synthesis using masked priors such as shape and ... Full text Cite

Abstract 5318: High-grade serous ovarian cancer DNA methylation and survival in African-American women

Conference Cancer Research · July 1, 2018 AbstractOvarian cancer is the most lethal gynecologic cancer in the United States, and African-American (AA) women have the poorest outcomes compared to other racial/ethnic groups. Although several biomarker ... Full text Cite

Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2018 Purpose: To determine whether domain transfer learning can improve the performance of deep features extracted from digital mammograms using a pre-trained deep convolutional neural network (CNN) in the prediction of occult invasive disease for patients with ... Full text Cite

Improving classification with forced labeling of other related classes: Application to prediction of upstaged ductal carcinoma in situ using mammographic features

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2018 Predicting whether ductal carcinoma in situ (DCIS) identified at core biopsy contains occult invasive disease is an import task since these "upstaged" cases will affect further treatment planning. Therefore, a prediction model that better classifies pure D ... Full text Cite

Abstract P1-06-06: Evidence for tumor heterogeneity and clonal evolution during invasive progression of breast cancer

Conference Cancer Research · February 15, 2017 AbstractPurpose: Intratumoral heterogeneity is well recognized to be an important driver of treatment resistance and metastasis. We undertook this N of one study to measure the degree of heterogeneity in a s ... Full text Cite

Abstract P1-05-30: Genomic and microenvironmental intra-tumor heterogeneity in DCIS

Conference Cancer Research · February 15, 2017 AbstractIntra-tumor heterogeneity drives neoplastic progression by supplying the fuel for natural selection among neoplastic cells. It also complicates screening and treatment of neoplasms. We hypothesize th ... Full text Cite

Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?

Conference Proceedings of SPIE the International Society for Optical Engineering · February 3, 2017 Cite

Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2017 Predicting the risk of occult invasive disease in ductal carcinoma in situ (DCIS) is an important task to help address the overdiagnosis and overtreatment problems associated with breast cancer. In this work, we investigated the feasibility of using comput ... Full text Cite

Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2017 Reducing the overdiagnosis and overtreatment associated with ductal carcinoma in situ (DCIS) requires accurate prediction of the invasive potential at cancer screening. In this work, we investigated the utility of pre-operative histologic and mammographic ... Full text Cite

Can BI-RADS features on mammography be used as a surrogate for expensive genomic testing in breast cancer patients?

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2017 Medical oncologists increasingly rely on expensive genomic analysis to stratify patients for different treatment. The genomic markers are able to divide patients into groups that behave differently in terms of tumor presentation, likelihood of metastatic s ... Full text Cite

Abstract 3407: Gene expression subtypes of high grade serous ovarian cancer in African American women

Conference Cancer Research · July 15, 2016 AbstractOvarian cancer accounts for 5% of cancer deaths and is the fifth leading cause of cancer death in women in the United States. While incidence is higher in European American (EA) than African American ... Full text Cite

Abstract P4-09-16: A monoclonal antibody with exceptional specificity across major breast cancer subtypes

Conference Cancer Research · February 15, 2016 AbstractBackground: Breast cancer (BC) remains the second leading cause of cancer-related deaths for women in the United States and is recognized to be a heterogeneous disease. Advances in technologies such ... Full text Cite

Abstract P6-05-03: Genomic diversity of ductal carcinoma in situ (DCIS) as a driver of invasion and metastasis

Conference Cancer Research · February 15, 2016 AbstractBackground: Recent evidence indicates that breast cancers may have high levels of heterogeneity. Based on principles of tumor evolution, we are investigating whether DCIS with higher levels of intra- ... Full text Cite

Early detection of breast cancer using a unique tumor specific antibody

Conference JOURNAL OF CLINICAL ONCOLOGY · May 20, 2015 Link to item Cite

Abstract 3182: PTM ELISA microarray for breast cancer biomarker discovery

Conference Cancer Research · April 15, 2011 AbstractPost-translational modifications (PTMs) of proteins are known to be altered during breast cancer development. These PTMs are potentially useful biomarkers for breast cancer. In order to study the pot ... Full text Cite

A clinicogenomic model to predict lymph node metastasis in breast cancer

Conference JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS · September 2008 Full text Link to item Cite

Gene expression signature characterizing cyclin E protein overexpression in primary breast tumors

Conference JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS · September 1, 2004 Link to item Cite

Repression of IL-2 mRNA translation in primary human breast cancer tumor infiltrating lymphocytes

Conference FASEB Journal · March 20, 1998 Tumor infiltrating lymphocytes (TIL) are abundant in primary human carcinomas but display diminished proliferative response to TCR ligation in vitro. We demonstrate by immunocytochemistry analysis that breast carcinoma TII. express both early and late cell ... Cite

Tissue transglutaminase is associated with the neovasculature and extracellular matrix of human breast cancer

Conference FASEB Journal · December 1, 1996 Tissue transglutaminase (tTG) is a calcium-dependent enzyme that catalyzes intermolecular covalent bonds. This protein cross-linking activity of tTG stabilizes the extracellular matrix (ECM) by making it resistant proteolytic degradation. Since angiogenesi ... Cite