Journal Article
. 2014 Apr;272(2).
doi: 10.1148/radiol.14131375.

Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles

Ahmed Bilal Ashraf 1 Dania Daye  Sara Gavenonis  Carolyn Mies  Michael Feldman  Mark Rosen  Despina Kontos  
  • PMID: 24702725
  •     45 References
  •     55 citations


Purpose: To present a method for identifying intrinsic imaging phenotypes in breast cancer tumors and to investigate their association with prognostic gene expression profiles.

Materials And Methods: The authors retrospectively analyzed dynamic contrast material-enhanced (DCE) magnetic resonance (MR) images of the breast in 56 women (mean age, 55.6 years; age range, 37-74 years) diagnosed with estrogen receptor-positive breast cancer between 2005 and 2010. The study was approved by the institutional review board and compliant with HIPAA. The requirement to obtain informed consent was waived. Primary tumors were assayed with a validated gene expression assay that provides a score for the likelihood of recurrence. A multiparametric imaging phenotype vector was extracted for each tumor by using quantitative morphologic, kinetic, and spatial heterogeneity features. Multivariate linear regression was performed to test associations between DCE MR imaging features and recurrence likelihood. To identify intrinsic imaging phenotypes, hierarchical clustering was performed on the extracted feature vectors. Multivariate logistic regression was used to classify tumors at high versus low or medium risk of recurrence. To determine the additional value of intrinsic phenotypes, the phenotype category was tested as an additional variable. Receiver operating characteristic analysis and the area under the receiver operating characteristic curve (Az) were used to assess classification performance.

Results: There was a moderate correlation (r = 0.71, R(2) = 0.50, P < .001) between DCE MR imaging features and the recurrence score. DCE MR imaging features were predictive of recurrence risk as determined by the surrogate assay, with an Az of 0.77 (P < .01). Four dominant imaging phenotypes were detected, with two including only low- and medium-risk tumors. When the phenotype category was used as an additional variable, the Az increased to 0.82 (P < .01).

Conclusion: Intrinsic imaging phenotypes exist for breast cancer tumors and correlate with recurrence likelihood as determined with gene expression profiling. These imaging biomarkers could ultimately help guide treatment decisions.

Correlation between numeric gadolinium-enhanced dynamic MRI ratios and prognostic factors and histologic type of breast carcinoma.
Hiroyuki Narisada, Takatoshi Aoki, +4 authors, Yukunori Korogi.
AJR Am J Roentgenol, 2006 Jul 25; 187(2). PMID: 16861530
Magnetic resonance imaging of breast lesions--a pathologic correlation.
Gary M K Tse, Benjaporn Chaiwun, +4 authors, Humairah S Cheung.
Breast Cancer Res Treat, 2006 Oct 13; 103(1). PMID: 17033923
Identification of noninvasive imaging surrogates for brain tumor gene-expression modules.
Maximilian Diehn, Christine Nardini, +6 authors, Michael D Kuo.
Proc Natl Acad Sci U S A, 2008 Mar 26; 105(13). PMID: 18362333    Free PMC article.
Highly Cited.
Role of magnetic resonance imaging in evaluating the extent of disease.
Sara C Gavenonis, Susan Orel Roth.
Magn Reson Imaging Clin N Am, 2010 May 25; 18(2). PMID: 20494306
Gene expression profiling in breast cancer: classification, prognostication, and prediction.
Jorge S Reis-Filho, Lajos Pusztai.
Lancet, 2011 Nov 22; 378(9805). PMID: 22098854
Highly Cited. Review.
Cluster analysis and display of genome-wide expression patterns.
M B Eisen, P T Spellman, P O Brown, D Botstein.
Proc Natl Acad Sci U S A, 1998 Dec 09; 95(25). PMID: 9843981    Free PMC article.
Highly Cited.
Tumor heterogeneity: causes and consequences.
Andriy Marusyk, Kornelia Polyak.
Biochim Biophys Acta, 2009 Nov 26; 1805(1). PMID: 19931353    Free PMC article.
Highly Cited. Review.
Advances in molecular imaging for breast cancer detection and characterization.
Jennifer M Specht, David A Mankoff.
Breast Cancer Res, 2012 Mar 20; 14(2). PMID: 22423895    Free PMC article.
Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors.
Ruey-Feng Chang, Wen-Jie Wu, Woo Kyung Moon, Dar-Ren Chen.
Breast Cancer Res Treat, 2005 Feb 05; 89(2). PMID: 15692761
Microarray-based class discovery for molecular classification of breast cancer: analysis of interobserver agreement.
Alan Mackay, Britta Weigelt, +7 authors, Jorge S Reis-Filho.
J Natl Cancer Inst, 2011 Mar 23; 103(8). PMID: 21421860    Free PMC article.
MR imaging for assessment of breast cancer response to neoadjuvant chemotherapy.
Nola Hylton.
Magn Reson Imaging Clin N Am, 2006 Nov 14; 14(3). PMID: 17098179
Survival outcomes of breast cancer patients who receive neoadjuvant chemotherapy: association with dynamic contrast-enhanced MR imaging with computer-aided evaluation.
Ann Yi, Nariya Cho, +7 authors, Woo Kyung Moon.
Radiology, 2013 Apr 18; 268(3). PMID: 23592770
Supervised risk predictor of breast cancer based on intrinsic subtypes.
Joel S Parker, Michael Mullins, +17 authors, Philip S Bernard.
J Clin Oncol, 2009 Feb 11; 27(8). PMID: 19204204    Free PMC article.
Highly Cited.
Radiogenomic analysis to identify imaging phenotypes associated with drug response gene expression programs in hepatocellular carcinoma.
Michael D Kuo, Jeremy Gollub, +2 authors, Xin Chen.
J Vasc Interv Radiol, 2007 Jul 05; 18(7). PMID: 17609439
Prediction of risk of distant recurrence using the 21-gene recurrence score in node-negative and node-positive postmenopausal patients with breast cancer treated with anastrozole or tamoxifen: a TransATAC study.
Mitch Dowsett, Jack Cuzick, +11 authors, Steven Shak.
J Clin Oncol, 2010 Mar 10; 28(11). PMID: 20212256
Highly Cited.
Current and future trends in magnetic resonance imaging assessments of the response of breast tumors to neoadjuvant chemotherapy.
Lori R Arlinghaus, Xia Li, +4 authors, Thomas E Yankeelov.
J Oncol, 2010 Oct 19; 2010. PMID: 20953332    Free PMC article.
Mammography and ultrasound features of triple-negative breast cancer.
Yasuyuki Kojima, Hiroko Tsunoda.
Breast Cancer, 2010 Oct 26; 18(3). PMID: 20972742
Chromosome 22 array-CGH profiling of breast cancer delimited minimal common regions of genomic imbalances and revealed frequent intra-tumoral genetic heterogeneity.
Magdalena Benetkiewicz, Arkadiusz Piotrowski, +7 authors, Jan P Dumanski.
Int J Oncol, 2006 Sep 12; 29(4). PMID: 16964389
Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world.
Farin Kamangar, Graça M Dores, William F Anderson.
J Clin Oncol, 2006 May 10; 24(14). PMID: 16682732
Highly Cited.
Interpretation of breast MRI: correlation of kinetic and morphological parameters with pathological findings.
Mitsuhiro Tozaki.
Magn Reson Med Sci, 2005 Aug 12; 3(4). PMID: 16093637
The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decade.
Britta Weigelt, Frederick L Baehner, Jorge S Reis-Filho.
J Pathol, 2009 Nov 21; 220(2). PMID: 19927298
Highly Cited. Review.
Tumor metabolism and blood flow as assessed by positron emission tomography varies by tumor subtype in locally advanced breast cancer.
Jennifer M Specht, Brenda F Kurland, +9 authors, David A Mankoff.
Clin Cancer Res, 2010 May 13; 16(10). PMID: 20460489    Free PMC article.
Heterogeneity of breast cancer: etiology and clinical relevance.
V Almendro, G Fuster.
Clin Transl Oncol, 2011 Nov 16; 13(11). PMID: 22082639
DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6.
J P B O'Connor, C J Rose, +10 authors, G J M Parker.
Br J Cancer, 2011 Jun 16; 105(1). PMID: 21673686    Free PMC article.
Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.
Weijie Chen, Maryellen L Giger, Li Lan, Ulrich Bick.
Med Phys, 2004 Jun 12; 31(5). PMID: 15191295
Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer.
Soonmyung Paik, Gong Tang, +11 authors, Norman Wolmark.
J Clin Oncol, 2006 May 25; 24(23). PMID: 16720680
Highly Cited.
Dynamic MR imaging of breast lesions: correlation with microvessel distribution pattern and histologic characteristics of prognosis.
Andrea Teifke, Oliver Behr, +4 authors, Hans-Anton Lehr.
Radiology, 2006 Mar 30; 239(2). PMID: 16569783
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.
A A Alizadeh, M B Eisen, +28 authors, L M Staudt.
Nature, 2000 Feb 17; 403(6769). PMID: 10676951
Highly Cited.
Breast cancer: evaluation of response to neoadjuvant chemotherapy with 3.0-T MR imaging.
Jeon-Hor Chen, Shadfar Bahri, +10 authors, Min-Ying Su.
Radiology, 2011 Sep 01; 261(3). PMID: 21878615    Free PMC article.
MRI phenotype is associated with response to doxorubicin and cyclophosphamide neoadjuvant chemotherapy in stage III breast cancer.
L Esserman, E Kaplan, +8 authors, N Hylton.
Ann Surg Oncol, 2001 Jul 18; 8(6). PMID: 11456056
Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Weijie Chen, Maryellen L Giger, Ulrich Bick, Gillian M Newstead.
Med Phys, 2006 Sep 13; 33(8). PMID: 16964864
Analyzing microarray data using cluster analysis.
William Shannon, Robert Culverhouse, Jill Duncan.
Pharmacogenomics, 2003 Jan 09; 4(1). PMID: 12517285
Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer.
Aleix Prat, Joel S Parker, +5 authors, Charles M Perou.
Breast Cancer Res, 2010 Sep 04; 12(5). PMID: 20813035    Free PMC article.
Highly Cited.
Mammographic, US, and MR imaging phenotypes of familial breast cancer.
Simone Schrading, Christiane K Kuhl.
Radiology, 2007 Dec 22; 246(1). PMID: 18096529
Dynamic contrast-enhanced magnetic resonance imaging and invasive breast cancer: primary lesion kinetics correlated with axillary lymph node extracapsular extension.
Christopher R Loiselle, Peter R Eby, +2 authors, Constance D Lehman.
J Magn Reson Imaging, 2010 Dec 25; 33(1). PMID: 21182126
The basics and implementation of digital mammography.
Margarita L Zuley.
Radiol Clin North Am, 2010 Sep 28; 48(5). PMID: 20868892
MRI in breast cancer therapy monitoring.
Rebekah McLaughlin, Nola Hylton.
NMR Biomed, 2011 Jun 22; 24(6). PMID: 21692116    Free PMC article.
Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal women with node-positive, oestrogen-receptor-positive breast cancer on chemotherapy: a retrospective analysis of a randomised trial.
Kathy S Albain, William E Barlow, +20 authors, Breast Cancer Intergroup of North America.
Lancet Oncol, 2009 Dec 17; 11(1). PMID: 20005174    Free PMC article.
Highly Cited.
Breast masses with peripheral rim enhancement on dynamic contrast-enhanced MR images: correlation of MR findings with histologic features and expression of growth factors.
R Matsubayashi, Y Matsuo, +3 authors, S Kudo.
Radiology, 2000 Dec 09; 217(3). PMID: 11110952
Prognostic and predictive factors revisited.
Daniel F Hayes.
Breast, 2005 Oct 22; 14(6). PMID: 16239111
Invasive breast cancer: correlation of dynamic MR features with prognostic factors.
Botond K Szabó, Peter Aspelin, +2 authors, Beata Boné.
Eur Radiol, 2003 Aug 05; 13(11). PMID: 12898176
Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results.
Olivier Gevaert, Jiajing Xu, +6 authors, Sylvia K Plevritis.
Radiology, 2012 Jun 23; 264(2). PMID: 22723499    Free PMC article.
Highly Cited.
Prognostic value of pre-treatment DCE-MRI parameters in predicting disease free and overall survival for breast cancer patients undergoing neoadjuvant chemotherapy.
Martin D Pickles, David J Manton, Martin Lowry, Lindsay W Turnbull.
Eur J Radiol, 2008 Jun 24; 71(3). PMID: 18572340
Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers.
Neha Bhooshan, Maryellen L Giger, +3 authors, Gillian M Newstead.
Radiology, 2010 Feb 04; 254(3). PMID: 20123903    Free PMC article.
Decoding global gene expression programs in liver cancer by noninvasive imaging.
Eran Segal, Claude B Sirlin, +8 authors, Michael D Kuo.
Nat Biotechnol, 2007 May 23; 25(6). PMID: 17515910
Highly Cited.
Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.
Elizabeth J Sutton, Jung Hun Oh, +5 authors, Elizabeth A Morris.
J Magn Reson Imaging, 2015 Apr 09; 42(5). PMID: 25850931    Free PMC article.
Highly Cited.
Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.
Ahmed Ashraf, Bilwaj Gaonkar, +4 authors, Despina Kontos.
Transl Oncol, 2015 Jun 10; 8(3). PMID: 26055172    Free PMC article.
Integration and comparison of different genomic data for outcome prediction in cancer.
Hugo Gómez-Rueda, Emmanuel Martínez-Ledesma, +2 authors, Victor Trevino.
BioData Min, 2015 Oct 31; 8. PMID: 26516350    Free PMC article.
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.
Elizabeth S Burnside, Karen Drukker, +17 authors, Maryellen L Giger.
Cancer, 2015 Dec 01; 122(5). PMID: 26619259    Free PMC article.
Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma.
Yitan Zhu, Hui Li, +4 authors, Yuan Ji.
Sci Rep, 2015 Dec 08; 5. PMID: 26639025    Free PMC article.
Breast cancer molecular subtype classifier that incorporates MRI features.
Elizabeth J Sutton, Brittany Z Dashevsky, +5 authors, Joseph O Deasy.
J Magn Reson Imaging, 2016 Jan 13; 44(1). PMID: 26756416    Free PMC article.
Imaging genomics in cancer research: limitations and promises.
Harrison X Bai, Ashley M Lee, +4 authors, Sharon J Diskin.
Br J Radiol, 2016 Feb 13; 89(1061). PMID: 26864054    Free PMC article.
A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.
Tao Wan, B Nicolas Bloch, +5 authors, Anant Madabhushi.
Sci Rep, 2016 Feb 19; 6. PMID: 26887643    Free PMC article.
Relating Doses of Contrast Agent Administered to TIC and Semi-Quantitative Parameters on DCE-MRI: Based on a Murine Breast Tumor Model.
Menglin Wu, Li Lu, +4 authors, Xuening Zhang.
PLoS One, 2016 Feb 24; 11(2). PMID: 26901876    Free PMC article.
How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis?
Habib Rahbar, Elizabeth S McDonald, +2 authors, Christoph I Lee.
Acad Radiol, 2016 Mar 28; 23(6). PMID: 27017136    Free PMC article.
Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy.
Jia Wu, Guanghua Gong, Yi Cui, Ruijiang Li.
J Magn Reson Imaging, 2016 Apr 16; 44(5). PMID: 27080586    Free PMC article.
Highly Cited.
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Hui Li, Yitan Zhu, +13 authors, Maryellen L Giger.
Radiology, 2016 Oct 19; 281(2). PMID: 27144536    Free PMC article.
Highly Cited.
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Eun Young Chae, Woo Kyung Moon, +8 authors, Sei Hyun Ahn.
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Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer.
Shandong Wu, Wendie A Berg, +5 authors, Jules H Sumkin.
Breast Cancer Res, 2016 Jul 28; 18(1). PMID: 27449059    Free PMC article.
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Jessica M Winfield, Geoffrey S Payne, Alex Weller, Nandita M deSouza.
Top Magn Reson Imaging, 2016 Oct 18; 25(5). PMID: 27748710    Free PMC article.
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Hui Li, Yitan Zhu, +13 authors, Maryellen L Giger.
NPJ Breast Cancer, 2016 Nov 18; 2. PMID: 27853751    Free PMC article.
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Olivier Gevaert, Sebastian Echegaray, +10 authors, Ann N Leung.
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Highly Cited.
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Sunitha B Thakur, Manuela Durando, +5 authors, Elizabeth A Morris.
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Ga Ram Kim, You Jin Ku, +2 authors, Byung Soh Min.
Ann Surg Treat Res, 2017 Jul 15; 93(1). PMID: 28706887    Free PMC article.
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Background, current role, and potential applications of radiogenomics.
Katja Pinker, Fuki Shitano, +6 authors, Elizabeth A Morris.
J Magn Reson Imaging, 2017 Nov 03; 47(3). PMID: 29095543    Free PMC article.
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Nita Amornsiripanitch, Vicky T Nguyen, +4 authors, Savannah C Partridge.
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Clinical role of breast MRI now and going forward.
D Leithner, G J Wengert, +4 authors, K Pinker.
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Sci Rep, 2018 Jan 13; 8(1). PMID: 29321645    Free PMC article.
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Jia Wu, Guohong Cao, +6 authors, Ruijiang Li.
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D Leithner, J V Horvat, +5 authors, K Pinker.
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Magn Reson Imaging, 2019 May 10; 64. PMID: 31071473    Free PMC article.
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Rhea D Chitalia, Jennifer Rowland, +7 authors, Despina Kontos.
Clin Cancer Res, 2019 Nov 17; 26(4). PMID: 31732521    Free PMC article.
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Richard Ha, Simukayi Mutasa, +7 authors, Sachin Jambawalikar.
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Machine learning in breast MRI.
Beatriu Reig, Laura Heacock, Krzysztof J Geras, Linda Moy.
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Association of distant recurrence-free survival with algorithmically extracted MRI characteristics in breast cancer.
Maciej A Mazurowski, Ashirbani Saha, +3 authors, P Kelly Marcom.
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Radiogenomics of magnetic resonance imaging and a new multi-gene classifier for predicting recurrence prognosis in estrogen receptor-positive breast cancer: A preliminary study.
Yukiko Tokuda, Masahiro Yanagawa, +3 authors, Noriyuki Tomiyama.
Medicine (Baltimore), 2020 Apr 22; 99(16). PMID: 32311939    Free PMC article.
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Aydin Demircioglu, Johannes Grueneisen, +7 authors, Lale Umutlu.
PLoS One, 2020 Jun 27; 15(6). PMID: 32589681    Free PMC article.
Dual-mode ultrasound radiomics and intrinsic imaging phenotypes for diagnosis of lymph node lesions.
Ying Chen, Jianwei Jiang, +4 authors, Qi Zhang.
Ann Transl Med, 2020 Jul 11; 8(12). PMID: 32647667    Free PMC article.
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Paula Martin-Gonzalez, Mireia Crispin-Ortuzar, +9 authors, Evis Sala.
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Jose M Net, Gary J Whitman, +7 authors, Arvind Rao.
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Kyung Jin Nam, Hyunjin Park, +3 authors, Jeong Eon Lee.
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Cancer Imaging, 2019 Jul 17; 19(1). PMID: 31307537    Free PMC article.
[Multimodal, multiparametric and genetic breast imaging].
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