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      Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)–Positive Breast Cancer

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          Key Points

          Question

          Can quantitative imaging features extracted from the tumor and tumor environment on breast magnetic resonance imaging characterize tumor biological features relevant to outcome of targeted therapy?

          Findings

          In this diagnostic study of 209 patients, among HER2 ( ERBB2)-positive breast cancers, an intratumoral and peritumoral imaging signature capable of discriminating the response-associated HER2-enriched molecular subtype was identified. When evaluated among recipients of HER2-targeted therapy, this signature was found to be associated with response to neoadjuvant chemotherapy.

          Meaning

          Quantitative analysis of the tumor and its surroundings may provide valuable cues into breast cancer biological features and likelihood of response to targeted therapy.

          Abstract

          Importance

          There has been significant recent interest in understanding the utility of quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic response. No clinically accepted biomarkers are as yet available for estimation of response to human epidermal growth factor receptor 2 (currently known as ERBB2, but referred to as HER2 in this study)–targeted therapy in breast cancer.

          Objective

          To determine whether imaging signatures on clinical breast magnetic resonance imaging (MRI) could noninvasively characterize HER2-positive tumor biological factors and estimate response to HER2-targeted neoadjuvant therapy.

          Design, Setting, and Participants

          In a retrospective diagnostic study encompassing 209 patients with breast cancer, textural imaging features extracted within the tumor and annular peritumoral tissue regions on MRI were examined as a means to identify increasingly granular breast cancer subgroups relevant to therapeutic approach and response. First, among a cohort of 117 patients who received an MRI prior to neoadjuvant chemotherapy (NAC) at a single institution from April 27, 2012, through September 4, 2015, imaging features that distinguished HER2+ tumors from other receptor subtypes were identified. Next, among a cohort of 42 patients with HER2+ breast cancers with available MRI and RNaseq data accumulated from a multicenter, preoperative clinical trial (BrUOG 211B), a signature of the response-associated HER2-enriched ( HER2-E) molecular subtype within HER2+ tumors (n = 42) was identified. The association of this signature with pathologic complete response was explored in 2 patient cohorts from different institutions, where all patients received HER2-targeted NAC (n = 28, n = 50). Finally, the association between significant peritumoral features and lymphocyte distribution was explored in patients within the BrUOG 211B trial who had corresponding biopsy hematoxylin-eosin–stained slide images. Data analysis was conducted from January 15, 2017, to February 14, 2019.

          Main Outcomes and Measures

          Evaluation of imaging signatures by the area under the receiver operating characteristic curve (AUC) in identifying HER2+ molecular subtypes and distinguishing pathologic complete response (ypT0/is) to NAC with HER2-targeting.

          Results

          In the 209 patients included (mean [SD] age, 51.1 [11.7] years), features from the peritumoral regions better discriminated HER2-E tumors (maximum AUC, 0.85; 95% CI, 0.79-0.90; 9-12 mm from the tumor) compared with intratumoral features (AUC, 0.76; 95% CI, 0.69-0.84). A classifier combining peritumoral and intratumoral features identified the HER2-E subtype (AUC, 0.89; 95% CI, 0.84-0.93) and was significantly associated with response to HER2-targeted therapy in both validation cohorts (AUC, 0.80; 95% CI, 0.61-0.98 and AUC, 0.69; 95% CI, 0.53-0.84). Features from the 0- to 3-mm peritumoral region were significantly associated with the density of tumor-infiltrating lymphocytes ( R 2 = 0.57; 95% CI, 0.39-0.75; P = .002).

          Conclusions and Relevance

          A combination of peritumoral and intratumoral characteristics appears to identify intrinsic molecular subtypes of HER2+ breast cancers from imaging, offering insights into immune response within the peritumoral environment and suggesting potential benefit for treatment guidance.

          Abstract

          This diagnostic study examines the use of magnetic resonance imaging to identify tumor biological factors associated with targeted therapy response for HER2-positive breast cancer.

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          Most cited references48

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository.

            The National Institutes of Health have placed significant emphasis on sharing of research data to support secondary research. Investigators have been encouraged to publish their clinical and imaging data as part of fulfilling their grant obligations. Realizing it was not sufficient to merely ask investigators to publish their collection of imaging and clinical data, the National Cancer Institute (NCI) created the open source National Biomedical Image Archive software package as a mechanism for centralized hosting of cancer related imaging. NCI has contracted with Washington University in Saint Louis to create The Cancer Imaging Archive (TCIA)-an open-source, open-access information resource to support research, development, and educational initiatives utilizing advanced medical imaging of cancer. In its first year of operation, TCIA accumulated 23 collections (3.3 million images). Operating and maintaining a high-availability image archive is a complex challenge involving varied archive-specific resources and driven by the needs of both image submitters and image consumers. Quality archives of any type (traditional library, PubMed, refereed journals) require management and customer service. This paper describes the management tasks and user support model for TCIA.
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              A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer.

              To compare clinical, immunohistochemical (IHC), and gene expression models of prognosis applicable to formalin-fixed, paraffin-embedded blocks in a large series of estrogen receptor (ER)-positive breast cancers from patients uniformly treated with adjuvant tamoxifen. Quantitative real-time reverse transcription-PCR (qRT-PCR) assays for 50 genes identifying intrinsic breast cancer subtypes were completed on 786 specimens linked to clinical (median follow-up, 11.7 years) and IHC [ER, progesterone receptor (PR), HER2, and Ki67] data. Performance of predefined intrinsic subtype and risk-of-relapse scores was assessed using multivariable Cox models and Kaplan-Meier analysis. Harrell's C-index was used to compare fixed models trained in independent data sets, including proliferation signatures. Despite clinical ER positivity, 10% of cases were assigned to nonluminal subtypes. qRT-PCR signatures for proliferation genes gave more prognostic information than clinical assays for hormone receptors or Ki67. In Cox models incorporating standard prognostic variables, hazard ratios for breast cancer disease-specific survival over the first 5 years of follow-up, relative to the most common luminal A subtype, are 1.99 [95% confidence interval (CI), 1.09-3.64] for luminal B, 3.65 (95% CI, 1.64-8.16) for HER2-enriched subtype, and 17.71 (95% CI, 1.71-183.33) for the basal-like subtype. For node-negative disease, PAM50 qRT-PCR-based risk assignment weighted for tumor size and proliferation identifies a group with >95% 10-year survival without chemotherapy. In node-positive disease, PAM50-based prognostic models were also superior. The PAM50 gene expression test for intrinsic biological subtype can be applied to large series of formalin-fixed, paraffin-embedded breast cancers, and gives more prognostic information than clinical factors and IHC using standard cut points. ©2010 AACR.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                19 April 2019
                April 2019
                19 April 2019
                : 2
                : 4
                : e192561
                Affiliations
                [1 ]Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
                [2 ]Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio
                [3 ]Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
                [4 ]Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
                [5 ]Department of Radiology, Boston Medical Center, Boston, Massachusetts
                [6 ]Department of Radiology, Boston University School of Medicine, Boston, Massachusetts
                [7 ]Department of Hematology and Medical Oncology, The Cleveland Clinic, Cleveland, Ohio
                [8 ]Department of Diagnostic Radiology, The Cleveland Clinic, Cleveland, Ohio
                [9 ]Program in Women’s Oncology, Women and Infants Hospital, Warren Alpert Medical School of Brown University, Providence, Rhode Island
                [10 ]Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
                [11 ]Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, California
                [12 ]National Cancer Institute, National Institutes of Health, Bethesda, Maryland
                [13 ]Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
                [14 ]Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
                [15 ]Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio
                Author notes
                Article Information
                Accepted for Publication: March 1, 2019.
                Published: April 19, 2019. doi:10.1001/jamanetworkopen.2019.2561
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Braman N et al. JAMA Network Open.
                Corresponding Authors: Vinay Varadan, PhD, Case Comprehensive Cancer Center, Case Western Reserve University, 2103 Cornell Rd, Cleveland, OH 44145 ( vinay.varadan@ 123456case.edu ); Anant Madabhushi, PhD, Department of Biomedical Engineering, Case Western Reserve University, 2071 Martin Luther King Dr, Cleveland, OH 44106-7207 ( anant.madabhushi@ 123456case.edu ).
                Author Contributions: Mr Braman and Dr Madabhushi had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Braman, Prasanna, Whitney, Etesami, Bloch, Bera, Sikov, Harris, Plecha, Varadan, Madabhushi.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Braman, Whitney, Singh, Bera, Somlo, Madabhushi.
                Critical revision of the manuscript for important intellectual content: Braman, Prasanna, Whitney, Singh, Beig, Etesami, Bates, Gallagher, Bloch, Vulchi, Turk, Bera, Abraham, Sikov, Harris, Gilmore, Plecha, Varadan, Madabhushi.
                Statistical analysis: Braman, Prasanna, Whitney, Singh, Beig, Bera, Varadan, Madabhushi.
                Obtained funding: Braman, Sikov, Harris, Varadan, Madabhushi.
                Administrative, technical, or material support: Whitney, Bates, Gallagher, Bloch, Abraham, Sikov, Somlo, Harris, Madabhushi.
                Supervision: Prasanna, Bloch, Abraham, Plecha, Varadan, Madabhushi.
                Conflict of Interest Disclosures: Mr Braman reported grants from the National Institutes of Health (NIH), Hartwell Foundation, and Philips Healthcare during the conduct of the study; and personal fees from IBM Research outside the submitted work. Mr Braman had US Patent 10,055,842 (Entropy-Based Radiogenomic Descriptors on Magnetic Resonance Imaging for Molecular Characterization of Breast Cancer), US Patent 10,004,471 (Decision Support for Disease Characterization and Treatment Response with Disease and Peri-disease Radiomics), and US Patent 10,064,594 (Characterizing Disease and Treatment Response with Quantitative Vessel Tortuosity Radiomics). Dr Whitney reported grants from NIH, the Department of Defense (DoD), Hartwell Foundation, and Philips Healthcare during the conduct of the study. Mr Singh reported a patent for entropy-based radiogenomic descriptors on magnetic resonance imaging for molecular characterization of breast cancer. Dr Sikov reported grants from Genentech and Celgene during the conduct of the study. Dr Somlo reported grants from Genentech and Celgene during the conduct of the study. Dr Varadan reported grants from Philips Healthcare during the conduct of the study and grants from Curis Inc outside the submitted work. Dr Madabhushi reported grants from Philips Research and Inspirata Inc during the conduct of the study; was issued patents 9,483,822, 10,004,471, and 10,055,842; and National Cancer Institute U24 grant with PathCore Inc; and served briefly as a paid consultant for AstraZeneca and Merck. No other disclosures were reported.
                Funding/Support: Research reported in this publication was supported by the Hartwell Foundation, National Cancer Institute of the NIH under awards 1F31CA221383-01A1, 1U24CA199374-01, R01CA202752-01A1, R01CA208236-01A1, R01 CA216579-01A1, and R01 CA220581-01A1; National Institute of Biomedical Imaging and Bioengineering of the NIH under award T32EB007509; National Center for Research Resources under award 1 C06 RR12463-01; Veterans Affairs Merit Review award IBX004121A from the United States Department of Veterans Affairs Biomedical Laboratory Research and Development Service; Case Comprehensive Cancer Center Cancer Health Disparities Spore Planning grant 1P20 CA233216-01; DoD Prostate Cancer Idea Development award W81XWH-15-1-0558; DoD Lung Cancer Investigator-Initiated Translational Research award W81XWH-18-1-0440; DoD Peer Reviewed Cancer Research Program W81XWH-16-1-0329; the Ohio Third Frontier Technology Validation Fund; the Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering; and the Clinical and Translational Science Award Program at Case Western Reserve University.
                Role of the Funder/Sponsor: The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, the US Department of Veterans Affairs, the DoD, or the US government.
                Additional Contributions: Oliver Steinbach, PhD, Patrick Cheung, PhD, and Nevenka Dimitrova, PhD (Philips Healthcare) provided valuable discussion on this article. Polina Yagusevich assisted in the development of the lymphocyte detection model. No compensation was received.
                Article
                zoi190112
                10.1001/jamanetworkopen.2019.2561
                6481453
                31002322
                9185a497-b5f4-4049-b016-50025118a232
                Copyright 2019 Braman N et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 19 October 2018
                : 27 February 2019
                : 1 March 2019
                Categories
                Research
                Original Investigation
                Online Only
                Imaging

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