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Shah OS, Nasrazadani A, Foldi J, Atkinson JM, Kleer CG, McAuliffe PF, Johnston TJ, Stallaert W, da Silva EM, Selenica P, Dopeso H, Pareja F, Mandelker D, Weigelt B, Reis-Filho JS, Bhargava R, Lucas PC, Lee AV, Oesterreich S. Spatial molecular profiling of mixed invasive ductal and lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutations. Proc Natl Acad Sci U S A 2024; 121:e2322068121. [PMID: 39042692 PMCID: PMC11295029 DOI: 10.1073/pnas.2322068121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/13/2024] [Indexed: 07/25/2024] Open
Abstract
Mixed invasive ductal and lobular carcinoma (MDLC) is a rare histologic subtype of breast cancer displaying both E-cadherin positive ductal and E-cadherin negative lobular morphologies within the same tumor, posing challenges with regard to anticipated clinical management. It remains unclear whether these distinct morphologies also have distinct biology and risk of recurrence. Our spatially resolved transcriptomic, genomic, and single-cell profiling revealed clinically significant differences between ductal and lobular tumor regions including distinct intrinsic subtype heterogeneity - e.g., MDLC with triple-negative breast cancer (TNBC) or basal ductal and estrogen receptor positive (ER+) luminal lobular regions, distinct enrichment of cell cycle arrest/senescence and oncogenic (ER and MYC) signatures, genetic and epigenetic CDH1 inactivation in lobular but not ductal regions, and single-cell ductal and lobular subpopulations with unique oncogenic signatures further highlighting intraregional heterogeneity. Altogether, we demonstrated that the intratumoral morphological/histological heterogeneity within MDLC is underpinned by intrinsic subtype and oncogenic heterogeneity which may result in prognostic uncertainty and therapeutic dilemma.
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MESH Headings
- Humans
- Female
- Carcinoma, Lobular/genetics
- Carcinoma, Lobular/pathology
- Carcinoma, Lobular/metabolism
- Carcinoma, Ductal, Breast/genetics
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Ductal, Breast/metabolism
- Mutation
- Breast Neoplasms/genetics
- Breast Neoplasms/pathology
- Breast Neoplasms/metabolism
- Breast Neoplasms/classification
- Cadherins/genetics
- Cadherins/metabolism
- Gene Expression Regulation, Neoplastic
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Triple Negative Breast Neoplasms/genetics
- Triple Negative Breast Neoplasms/pathology
- Triple Negative Breast Neoplasms/metabolism
- Transcriptome
- Gene Expression Profiling/methods
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Affiliation(s)
- Osama Shiraz Shah
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Integrative Systems Biology Program, University of Pittsburgh School of Medicine, PittsburghPA15260
| | - Azadeh Nasrazadani
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA15213
| | - Julia Foldi
- Division of Hematology-Oncology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA15260
| | - Jennifer M. Atkinson
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA15260
| | - Celina G. Kleer
- Department of Pathology and Rogel Cancer Center, University of Michigan, Ann Arbor, MI48109
| | - Priscilla F. McAuliffe
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Division of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA15232
| | - Tyler J. Johnston
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA15213
| | - Wayne Stallaert
- Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA15213
| | - Edaise M. da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Higinio Dopeso
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Jorge S. Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Rohit Bhargava
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA15213
| | - Peter C. Lucas
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine and Science, Rochester, MN55902
| | - Adrian V. Lee
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA15260
| | - Steffi Oesterreich
- Womens Cancer Research Center at University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center and Magee Women’s Research Institute, Pittsburgh, PA15213
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA15260
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2
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Shah OS, Nasrazadani A, Foldi J, Atkinson JM, Kleer CG, McAuliffe PF, Johnston TJ, Stallaert W, da Silva EM, Selenica P, Dopeso H, Pareja F, Mandelker D, Weigelt B, Reis-Filho JS, Bhargava R, Lucas PC, Lee AV, Oesterreich S. Spatial molecular profiling of mixed invasive ductal-lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.09.557013. [PMID: 38915645 PMCID: PMC11195088 DOI: 10.1101/2023.09.09.557013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Mixed invasive ductal and lobular carcinoma (MDLC) is a rare histologic subtype of breast cancer displaying both E-cadherin positive ductal and E-cadherin negative lobular morphologies within the same tumor, posing challenges with regard to anticipated clinical management. It remains unclear whether these distinct morphologies also have distinct biology and risk of recurrence. Our spatially-resolved transcriptomic, genomic, and single-cell profiling revealed clinically significant differences between ductal and lobular tumor regions including distinct intrinsic subtype heterogeneity (e.g., MDLC with TNBC/basal ductal and ER+/luminal lobular regions), distinct enrichment of senescence/dormancy and oncogenic (ER and MYC) signatures, genetic and epigenetic CDH1 inactivation in lobular, but not ductal regions, and single-cell ductal and lobular sub-populations with unique oncogenic signatures further highlighting intra-regional heterogeneity. Altogether, we demonstrated that the intra-tumoral morphological/histological heterogeneity within MDLC is underpinned by intrinsic subtype and oncogenic heterogeneity which may result in prognostic uncertainty and therapeutic dilemma. Significance MDLC displays both ductal and lobular tumor regions. Our multi-omic profiling approach revealed that these morphologically distinct tumor regions harbor distinct intrinsic subtypes and oncogenic features that may cause prognostic uncertainty and therapeutic dilemma. Thus histopathological/molecular profiling of individual tumor regions may guide clinical decision making and benefit patients with MDLC, particularly in the advanced setting where there is increased reliance on next generation sequencing.
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Lohani KR, Hoskin TL, Day CN, Yasir S, Boughey JC, Degnim AC. Lobular-Like Features and Outcomes of Mixed Invasive Ductolobular Breast Cancer (MIDLC): Insights from 54,403 Stage I-III MIDLC Patients. Ann Surg Oncol 2024; 31:936-946. [PMID: 37872454 DOI: 10.1245/s10434-023-14455-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 10/03/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Mixed invasive ductolobular breast cancer (MIDLC) is a rare histological subtype of breast cancer (BC), with components of both invasive ductal cancer (IDC) and invasive lobular cancer (ILC). Its clinicopathological features and outcomes have not been well characterized. METHOD The National Cancer Database 2010-2017 was reviewed to identify women with stage I-III BCs. Univariate analysis was performed using Chi-square or Wilcoxon rank-sum tests and multivariable analysis with logistic regression to predict surgical decisions. Survival was assessed using multivariable Cox proportional hazards regression analysis. RESULTS We identified 955,828 women with stage I-III BCs (5.7% MIDLC, 10.3% ILC, and 84.0% IDC). MIDLC was more like ILC than IDC in terms of multicentricity (14.2% MIDLC, 13.0% ILC, 10.0% IDC), hormone receptor positivity (96.6% MIDLC, 98.2% ILC, 81.2% IDC), and use of neoadjuvant chemotherapy (NAC; 5.8% MIDLC, 5.2% ILC, 10.8% IDC). 744,607 women underwent upfront surgery. The mastectomy rates were 42.3% for MIDLC, 46.5% for ILC, and 33.3% for IDC (all p < 0.001). With 5.5 years of median follow-up, the adjusted overall survival in the upfront surgery hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) biological subgroup was better in MIDLC (hazard ratio 0.88, p < 0.001) and ILC (hazard ratio 0.91, p < 0.001) than in IDC. Like ILC, MIDLC also had a lower pathological complete response to NAC than IDC (12.3% MIDLC, 7.3% ILC, 28.6% IDC). CONCLUSIONS MIDLC displays a mixed pattern of characteristics favoring features of ILC compared with IDC, with favorable 5-year overall survival compared with IDC within the HR+/HER2- subtype who underwent upfront surgery.
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Affiliation(s)
- Kush R Lohani
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Tanya L Hoskin
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Courtney N Day
- Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Saba Yasir
- Department of Pathology, Mayo Clinic, Rochester, MN, USA
| | - Judy C Boughey
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Amy C Degnim
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA.
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Ruiz-Saavedra S, Zapico A, González S, Salazar N, de los Reyes-Gavilán CG. Role of the intestinal microbiota and diet in the onset and progression of colorectal and breast cancers and the interconnection between both types of tumours. MICROBIOME RESEARCH REPORTS 2023; 3:6. [PMID: 38455079 PMCID: PMC10917624 DOI: 10.20517/mrr.2023.36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/12/2023] [Accepted: 11/21/2023] [Indexed: 03/09/2024]
Abstract
Colorectal cancer (CRC) is among the leading causes of mortality in adults of both sexes worldwide, while breast cancer (BC) is among the leading causes of death in women. In addition to age, gender, and genetic predisposition, environmental and lifestyle factors exert a strong influence. Global diet, including alcohol consumption, is one of the most important modifiable factors affecting the risk of CRC and BC. Western dietary patterns promoting high intakes of xenobiotics from food processing and ethanol have been associated with increased cancer risk, whereas the Mediterranean diet, generally leading to a higher intake of polyphenols and fibre, has been associated with a protective effect. Gut dysbiosis is a common feature in CRC, where the usual microbiota is progressively replaced by opportunistic pathogens and the gut metabolome is altered. The relationship between microbiota and BC has been less studied. The estrobolome is the collection of genes from intestinal bacteria that can metabolize oestrogens. In a dysbiosis condition, microbial deconjugating enzymes can reactivate conjugated-deactivated oestrogens, increasing the risk of BC. In contrast, intestinal microorganisms can increase the biological activity and bioavailability of dietary phytochemicals through diverse microbial metabolic transformations, potentiating their anticancer activity. Members of the intestinal microbiota can increase the toxicity of xenobiotics through metabolic transformations. However, most of the microorganisms involved in diet-microbiota interactions remain poorly characterized. Here, we provide an overview of the associations between microbiota and diet in BC and CRC, considering the diverse types and heterogeneity of these cancers and their relationship between them and with gut microbiota.
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Affiliation(s)
- Sergio Ruiz-Saavedra
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa 33300, Spain
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo 33011, Spain
| | - Aida Zapico
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo 33011, Spain
- Department of Functional Biology, University of Oviedo, Oviedo 33006, Spain
| | - Sonia González
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo 33011, Spain
- Department of Functional Biology, University of Oviedo, Oviedo 33006, Spain
| | - Nuria Salazar
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa 33300, Spain
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo 33011, Spain
| | - Clara G. de los Reyes-Gavilán
- Department of Microbiology and Biochemistry of Dairy Products, Instituto de Productos Lácteos de Asturias (IPLA-CSIC), Villaviciosa 33300, Spain
- Diet, Microbiota and Health Group, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo 33011, Spain
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Adachi Y, Asaga S, Kumamaru H, Kinugawa N, Sagara Y, Niikura N, Jinno H, Saji S, Toi M. Analysis of prognosis in different subtypes of invasive lobular carcinoma using the Japanese National Cancer Database-Breast Cancer Registry. Breast Cancer Res Treat 2023; 201:397-408. [PMID: 37479943 DOI: 10.1007/s10549-023-07022-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/22/2023] [Indexed: 07/23/2023]
Abstract
PURPOSE Many studies have shown that the prognosis of invasive lobular carcinoma (ILC) is better than that of invasive ductal carcinoma (IDC). However, both disorders exhibit different prognoses according to molecular subtype, and the prognosis of ILC subtypes might depend on their hormone receptor positivity rate. This study clarified the prognosis of ILC and IDC in each subtype and examined the effectiveness of adjuvant chemotherapy (CT) in luminal ILC. METHODS We planned the analysis using data from the Breast Cancer Registry in Japan. Because it was presumed that there are differences in characteristics between ILC and IDC, we created matched cohorts using exact matching to compare their prognoses. We compared the prognosis of ILC and IDC for each subtype. We also compared the prognosis of luminal ILC between the CT and non-CT groups. RESULTS For all subtypes, the disease-free survival (DFS) and overall survival (OS) of ILC were poorer than those of IDC. In the analysis by each subtype, no statistically significant difference was found in DFS and OS in luminal human epidermal growth factor 2 (HER2), HER2, and triple-negative cohorts; however, luminal ILC had significantly poorer DFS and OS than luminal IDC. The CT effects on the prognosis of luminal ILC were greater in more advanced cases. CONCLUSION Luminal ILC had a poorer prognosis than luminal IDC, contributing to the worse prognosis of ILC than that of IDC in the overall cohort. Different therapeutic approaches from luminal IDC are essential for a better prognosis of luminal ILC.
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Affiliation(s)
- Yayoi Adachi
- Department of Breast Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, 464-8681, Nagoya, Aichi, Japan.
- Department of Pathology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, 75206, Dallas, TX, USA.
| | - Sota Asaga
- Department of Surgery, Keiyu Hospital, 3-7-3 Minatomirai, 220-8521, Yokohama, Kanagawa, Japan
| | - Hiraku Kumamaru
- Department of Healthcare Quality Assessment, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan
| | - Naoko Kinugawa
- Department of Healthcare Quality Assessment, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8655, Tokyo, Japan
| | - Yasuaki Sagara
- Department of Breast Surgical Oncology, Social Medical Cooperation Hakuaikai, 3-31 Matsubara-cho, 892-0833, Kagoshima, Japan
| | - Naoki Niikura
- Department of Breast and Endocrine Surgery, Tokai University School of Medicine, 143, Shimokasuya, 259-1193, Isehara, Kanagawa, Japan
| | - Hiromitsu Jinno
- Department of Surgery, Teikyo University School of Medicine, 2-11-1 Kaga, Itabashi-ku, 173-8606, Tokyo, Japan
| | - Shigehira Saji
- Department of Medical Oncology, Fukushima Medical University, 1 Hikariga-oka, 960-1295, Fukushima, Fukushima, Japan
| | - Masakazu Toi
- Department of Breast Surgery, Kyoto University Graduate School of Medicine, 54 Kawaracho, Shogoin, Sakyo-ku, 606-8507, Kyoto, Japan
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Covington MF, Hoffman JM, Morton KA, Buckway B, Boucher KM, Rosenthal RE, Porretta JM, Brownson KE, Matsen CB, Vaklavas C, Ward JH, Wei M, Buys SS, Chittoria N, Yakish ED, Archibald ZG, Burrell LD, Butterfield RI, Yap JT. Prospective Pilot Study of 18F-Fluoroestradiol PET/CT in Patients With Invasive Lobular Carcinomas. AJR Am J Roentgenol 2023; 221:228-239. [PMID: 36919879 DOI: 10.2214/ajr.22.28809] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
BACKGROUND. PET/CT with 18F-fluoroestradiol (FES) (FDA-approved in 2020) depicts tissues expressing estrogen receptor (ER). Invasive lobular carcinoma (ILC) is commonly ER positive. OBJECTIVE. The primary aim of this study was to assess the frequency with which sites of histologically proven ILC have abnormal uptake on FES PET/CT. METHODS. This prospective single-center pilot study, conducted from December 2020 to August 2021, enrolled patients with histologically confirmed ILC to undergo FES PET/CT; patients optionally underwent FDG PET/CT. Two nuclear radiologists assessed FES PET/CT and FDG PET/CT studies for abnormal uptake corresponding to known ILC sites at enrollment and for additional sites of abnormal uptake, resolving differences by consensus. The primary endpoint was percentage of known ILC sites showing abnormal FES uptake. The alternative to the null hypothesis was that more than 60% of sites would have abnormal FES uptake, exceeding the percentage of ILC with abnormal FDG uptake described in prior literature. A sample size of 24 biopsied lesions was preselected to provide 81% power for the alternative hypothesis (one-sided α = .10). Findings on FES PET/CT and FDG PET/CT were summarized for additional secondary endpoints. RESULTS. The final analysis included 17 patients (mean age, 59.1 ± 13.2 years) with 25 sites of histologically confirmed ILC at enrollment (22 breast lesions, two axillary lymph nodes, one distant metastasis). FES PET/CT showed abnormal uptake in 22 of 25 (88%) lesions, sufficient to reject the null hypothesis (p = .002). Thirteen patients underwent FDG PET/CT. Four of 23 (17%) sites of histologically confirmed ILC, including additional sites detected and confirmed after enrollment, were identified with FES PET/CT only, and 1 of 23 (4%) was identified only with FDG PET/CT (p = .18). FES PET/CT depicted additional lesions not detected with standard-of-care evaluation in 4 of 17 (24%) patients (two contralateral breast cancers and two metastatic axillary lymph nodes, all with subsequent histologic confirmation). Use of FES PET/CT resulted in changes in clinical stage with respect to standard-of-care evaluation in 3 of 17 (18%) patients. CONCLUSION. The primary endpoint of the trial was met. The frequency of abnormal FES uptake among sites of histologically known ILC was found to be to be significantly greater than 60%. CLINICAL IMPACT. This pilot study shows a potential role of FES PET/CT in evaluation of patients with ILC. TRIAL REGISTRATION. ClinicalTrials.gov NCT04252859.
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Affiliation(s)
- Matthew F Covington
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT
| | - John M Hoffman
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT
| | - Kathryn A Morton
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT
- Present affiliation: Summit Physician Specialists, Murray, UT
| | - Brandon Buckway
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Department of Pharmaceutics and Pharmaceutical Chemistry, University of Utah, Salt Lake City, UT
| | | | | | - Jane M Porretta
- Department of Surgery, University of Utah, Salt Lake City, UT
| | | | - Cindy B Matsen
- Department of Surgery, University of Utah, Salt Lake City, UT
| | - Christos Vaklavas
- Department of Internal Medicine, Oncology Division, University of Utah, Salt Lake City, UT
| | - John H Ward
- Department of Internal Medicine, Oncology Division, University of Utah, Salt Lake City, UT
| | - Mei Wei
- Department of Internal Medicine, Oncology Division, University of Utah, Salt Lake City, UT
| | - Saundra S Buys
- Department of Internal Medicine, Oncology Division, University of Utah, Salt Lake City, UT
| | - Namita Chittoria
- Department of Internal Medicine, Oncology Division, University of Utah, Salt Lake City, UT
| | - Ellen D Yakish
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
| | - Zane G Archibald
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
| | - Lance D Burrell
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Present affiliation: Society of Nuclear Medicine and Molecular Imaging, Reston, VA
| | - Regan I Butterfield
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
| | - Jeffrey T Yap
- Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, 2000 Circle of Hope Dr, Salt Lake City, UT 84112
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT
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7
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Yu J, da Silva EM, La HS, Clark BZ, Fine JL, Carter GJ, Villatoro TM, Soong TR, Lee AV, Oesterreich S, Basili T, Blanco-Heredia J, Selenica P, Ye Q, Da Cruz Paula A, Dopeso H, Gazzo A, Marra A, Pareja F, Reis-Filho JS, Bhargava R. Clinicopathologic and genomic features of lobular like invasive mammary carcinoma: is it a distinct entity? NPJ Breast Cancer 2023; 9:60. [PMID: 37443169 DOI: 10.1038/s41523-023-00566-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
This study describes "lobular-like invasive mammary carcinomas" (LLIMCas), a group of low- to intermediate-grade invasive mammary carcinomas with discohesive, diffusely infiltrative cells showing retained circumferential membranous immunoreactivity for both E-cadherin and p120. We analyzed the clinical-pathologic features of 166 LLIMCas compared to 104 classical invasive lobular carcinomas (ILCs) and 100 grade 1 and 2 invasive ductal carcinomas (IDCs). Tumor size and pT stage of LLIMCas were intermediate between IDCs and ILCs, and yet often underestimated on imaging and showed frequent positive margins on the first resection. Despite histomorphologic similarities to classical ILC, the discohesion in LLIMCa was independent of E-cadherin/p120 immunophenotypic alteration. An exploratory, hypothesis-generating analysis of the genomic features of 14 randomly selected LLIMCas and classical ILCs (7 from each category) was performed utilizing an FDA-authorized targeted capture sequencing assay (MSK-IMPACT). None of the seven LLIMCas harbored CDH1 loss-of-function mutations, and none of the CDH1 alterations detected in two of the LLIMCas was pathogenic. In contrast, all seven ILCs harbored CDH1 loss-of-function mutations coupled with the loss of heterozygosity of the CDH1 wild-type allele. Four of the six evaluable LLIMCas were positive for CDH1 promoter methylation, which may partially explain the single-cell infiltrative morphology seen in LLIMCa. Further studies are warranted to better define the molecular basis of the discohesive cellular morphology in LLIMCa. Until more data becomes available, identifying LLIMCas and distinguishing them from typical IDCs and ILCs would be justified. In patients with LLIMCas, preoperative MRI should be entertained to guide surgical management.
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Affiliation(s)
- Jing Yu
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA.
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hae-Sun La
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Beth Z Clark
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Jeffrey L Fine
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Gloria J Carter
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Tatiana M Villatoro
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - T Rinda Soong
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA
| | - Adrian V Lee
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Steffi Oesterreich
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, UPMC Hillman Cancer Center, Pittsburgh, PA, USA
| | - Thais Basili
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan Blanco-Heredia
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Qiqi Ye
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Higinio Dopeso
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Rohit Bhargava
- Department of Pathology, University of Pittsburgh Medical Center Magee-Womens Hospital, Pittsburgh, PA, USA.
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Faraz K, Dauce G, Bouhamama A, Leporq B, Sasaki H, Bito Y, Beuf O, Pilleul F. Characterization of Breast Tumors from MR Images Using Radiomics and Machine Learning Approaches. J Pers Med 2023; 13:1062. [PMID: 37511674 PMCID: PMC10382057 DOI: 10.3390/jpm13071062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
Determining histological subtypes, such as invasive ductal and invasive lobular carcinomas (IDCs and ILCs) and immunohistochemical markers, such as estrogen response (ER), progesterone response (PR), and the HER2 protein status is important in planning breast cancer treatment. MRI-based radiomic analysis is emerging as a non-invasive substitute for biopsy to determine these signatures. We explore the effectiveness of radiomics-based and CNN (convolutional neural network)-based classification models to this end. T1-weighted dynamic contrast-enhanced, contrast-subtracted T1, and T2-weighted MR images of 429 breast cancer tumors from 323 patients are used. Various combinations of input data and classification schemes are applied for ER+ vs. ER-, PR+ vs. PR-, HER2+ vs. HER2-, and IDC vs. ILC classification tasks. The best results were obtained for the ER+ vs. ER- and IDC vs. ILC classification tasks, with their respective AUCs reaching 0.78 and 0.73 on test data. The results with multi-contrast input data were generally better than the mono-contrast alone. The radiomics and CNN-based approaches generally exhibited comparable results. ER and IDC/ILC classification results were promising. PR and HER2 classifications need further investigation through a larger dataset. Better results by using multi-contrast data might indicate that multi-parametric quantitative MRI could be used to achieve more reliable classifiers.
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Affiliation(s)
- Khuram Faraz
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
| | - Grégoire Dauce
- FUJIFILM Healthcare France S.A.S., 69800 Saint-Priest, France
| | - Amine Bouhamama
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
- Department of Radiology, Centre Léon Bérard, 69008 Lyon, France
| | - Benjamin Leporq
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
| | - Hajime Sasaki
- FUJIFILM Healthcare France S.A.S., 69800 Saint-Priest, France
- FUJIFILM Healthcare Corporation, Tokyo 107-0052, Japan
| | | | - Olivier Beuf
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
| | - Frank Pilleul
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
- Department of Radiology, Centre Léon Bérard, 69008 Lyon, France
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9
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Nasrazadani A, Li Y, Fang Y, Shah O, Atkinson JM, Lee JS, McAuliffe PF, Bhargava R, Tseng G, Lee AV, Lucas PC, Oesterreich S, Wolmark N. Mixed invasive ductal lobular carcinoma is clinically and pathologically more similar to invasive lobular than ductal carcinoma. Br J Cancer 2023; 128:1030-1039. [PMID: 36604587 PMCID: PMC10006180 DOI: 10.1038/s41416-022-02131-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 12/02/2022] [Accepted: 12/19/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Mixed invasive ductal lobular carcinoma (mDLC) remains a poorly understood subtype of breast cancer composed of coexisting ductal and lobular components. METHODS We sought to describe clinicopathologic characteristics and determine whether mDLC is clinically more similar to invasive ductal carcinoma (IDC) or invasive lobular carcinoma (ILC), using data from patients seen at the University of Pittsburgh Medical Center. RESULTS We observed a higher concordance in clinicopathologic characteristics between mDLC and ILC, compared to IDC. There is a trend for higher rates of successful breast-conserving surgery after neoadjuvant chemotherapy in patients with mDLC compared to patients with ILC, in which it is known to be lower than in those with IDC. Metastatic patterns of mDLC demonstrate a propensity to develop in sites characteristic of both IDC and ILC. A meta-analysis evaluating mDLC showed shared features with both ILC and IDC with significantly more ER-positive and fewer high grades in mDLC compared to IDC, although mDLCs were significantly smaller and included fewer late-stage tumours compared to ILC. CONCLUSIONS These findings support clinicopathologic characteristics of mDLC driven by individual ductal vs lobular components and given the dominance of lobular pathology, mDLC features are often more similar to ILC than IDC. This study exemplifies the complexity of mixed disease.
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Affiliation(s)
- Azadeh Nasrazadani
- Department of Breast Medical Oncology, Unit 1354, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
| | - Yujia Li
- Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
- Eli Lilly and Company, Indianapolis, IN, USA
| | - Yusi Fang
- Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
| | - Osama Shah
- Graduate Program in Integrated Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jennifer M Atkinson
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
| | - Joanna S Lee
- Division of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Priscilla F McAuliffe
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- Division of Surgical Oncology, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Rohit Bhargava
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - George Tseng
- Department of Biostatistics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, USA
| | - Adrian V Lee
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Magee Women's Hospital, Suite 4628, 300 Halket Street, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Peter C Lucas
- Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Magee Women's Hospital, Suite 4628, 300 Halket Street, Pittsburgh, PA, USA
- NSABP Foundation, Inc, Pittsburgh, PA, USA
| | - Steffi Oesterreich
- Women's Cancer Research Center, UPMC Hillman Cancer Center, Magee-Womens Research Institute, Pittsburgh, PA, USA
- UPMC Hillman Cancer Center, Magee Women's Hospital, Suite 4628, 300 Halket Street, Pittsburgh, PA, USA
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Norman Wolmark
- UPMC Hillman Cancer Center, Magee Women's Hospital, Suite 4628, 300 Halket Street, Pittsburgh, PA, USA
- NSABP Foundation, Inc, Pittsburgh, PA, USA
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10
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Tayubi IA, Madar IH. Biomineralization associated alkaline phosphatase as a potential marker of bone metastasis in the patients with invasive breast cancer. Saudi J Biol Sci 2022; 29:103340. [PMID: 35770272 PMCID: PMC9234708 DOI: 10.1016/j.sjbs.2022.103340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 05/19/2022] [Accepted: 06/10/2022] [Indexed: 11/27/2022] Open
Abstract
Breast Cancer is the most predominant form of cancer among women worldwide. It has been rigorously studied for biomarker identifications and therapeutic targets. However, various potential genes and their clinical relevance to breast cancer remain unexplored. The heterogeneity of breast cancer is one of the major challenges in early detection. Several studies have reported the significant role of alkaline phosphate (ALP) in the regulation of tumor growth and overall free survival in the pathogenesis of different cancer, including breast cancer which may offer unique therapeutic targets. Therefore, these findings demand a comprehensive study for the biogenesis of ALP genes. This study aims to expression profiling of alkaline phosphate genes in breast cancer and to identify the key pathways and molecular mechanisms underlying breast cancer proliferation and progression. In this study, the transcriptome profiling of invasive breast carcinoma samples was performed and analyzed. We identified that all the ALP genes were downregulated in both Invasive Lobular and Invasive Ductal Carcinoma patients. To understand the underlying molecular mechanism and the clinical significance for these genes in breast cancer, the expression values of genes were measured in adjacent normal and tumor tissues of patients followed by network analysis and functional enrichment analysis. The overall analysis revealed the highly aberrant expression of ALPL gene among all four ALP genes. We identified the functional significance of RUNX2 and WNT3A in deregulating ALPL. Therefore, our findings suggests that downregulation of ALPL could be a potential marker gene for invasive breast carcinoma progression towards bone metastasis.
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Affiliation(s)
- Iftikhar Aslam Tayubi
- Faculty of Computing and Information Technology, Rabigh, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Inamul Hasan Madar
- Department of Biomedical Science and Environmental Biology, KMU - Kaohsiung Medical University, Kaohsiung 80708, Taiwan.,eDOmics Pvt.Ltd Chennai, Tamil Nadu 600 112, India
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11
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Covington MF, Koppula BR, Fine GC, Salem AE, Wiggins RH, Hoffman JM, Morton KA. PET-CT in Clinical Adult Oncology: II. Primary Thoracic and Breast Malignancies. Cancers (Basel) 2022; 14:cancers14112689. [PMID: 35681669 PMCID: PMC9179296 DOI: 10.3390/cancers14112689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 05/20/2022] [Accepted: 05/26/2022] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Positron emission tomography (PET), typically combined with computed tomography (CT), has become a critical advanced imaging technique in oncology. With PET-CT, a radioactive molecule (radiotracer) is injected in the bloodstream and localizes to sites of tumor because of specific cellular features of the tumor that accumulate the targeting radiotracer. The CT scan, performed at the same time, provides information to facilitate assessment of the amount of radioactivity from deep or dense structures, and to provide detailed anatomic information. PET-CT has a variety of applications in oncology, including staging, therapeutic response assessment, restaging, and surveillance. This series of six review articles provides an overview of the value, applications, and imaging and interpretive strategies of PET-CT in the more common adult malignancies. The second article in this series addresses the use of PET-CT in breast cancer and other primary thoracic malignancies. Abstract Positron emission tomography combined with x-ray computed tomography (PET-CT) is an advanced imaging modality with oncologic applications that include staging, therapy assessment, restaging, and surveillance. This six-part series of review articles provides practical information to providers and imaging professionals regarding the best use of PET-CT for the more common adult malignancies. The second article of this series addresses primary thoracic malignancy and breast cancer. For primary thoracic malignancy, the focus will be on lung cancer, malignant pleural mesothelioma, thymoma, and thymic carcinoma, with an emphasis on the use of FDG PET-CT. For breast cancer, the various histologic subtypes will be addressed, and will include 18F fluorodeoxyglucose (FDG), recently Food and Drug Administration (FDA)-approved 18F-fluoroestradiol (FES), and 18F sodium fluoride (NaF). The pitfalls and nuances of PET-CT in breast and primary thoracic malignancies and the imaging features that distinguish between subcategories of these tumors are addressed. This review will serve as a resource for the appropriate roles and limitations of PET-CT in the clinical management of patients with breast and primary thoracic malignancies for healthcare professionals caring for adult patients with these cancers. It also serves as a practical guide for imaging providers, including radiologists, nuclear medicine physicians, and their trainees.
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Affiliation(s)
- Matthew F. Covington
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Bhasker R. Koppula
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Gabriel C. Fine
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Ahmed Ebada Salem
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
- Department of Radiodiagnosis and Intervention, Faculty of Medicine, Alexandria University, Alexandria 21526, Egypt
| | - Richard H. Wiggins
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - John M. Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
| | - Kathryn A. Morton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (M.F.C.); (B.R.K.); (G.C.F.); (A.E.S.); (R.H.W.); (J.M.H.)
- Intermountain Healthcare Hospitals, Summit Physician Specialists, Murray, UT 84123, USA
- Correspondence: ; Tel.: +1-801-581-7553
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12
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Masood S. Why proper characterization of breast cancer subtypes makes a difference in patient care. Breast J 2021; 27:689-690. [PMID: 34431163 DOI: 10.1111/tbj.14285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Shahla Masood
- Department of Pathology and Laboratory Medicine, University of Florida College of Medicine - Jax, Jacksonville, FL, USA
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13
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Tang X, Nakanishi Y, Kobayashi H, Nishimaki H, Kusumi Y, Miyagi Y, Masuda S. Mixed ductal-lobular carcinoma: an analysis of CDH1 DNA copy number variation and mutation. Breast Cancer 2021; 28:1318-1327. [PMID: 34185256 DOI: 10.1007/s12282-021-01269-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/17/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Mixed ductal-lobular carcinoma (MDL) of the breast is poorly understood. Dysfunction of E-cadherin, a cell adhesion protein encoded by the CDH1 gene located on 16q22.1, causes loss of cell adhesion and cellular polarity in lobular carcinoma (LC). This study focuses the aberrations of CDH1 in LC, ductal carcinoma (DC), and MDL to investigate the pathogenesis of MDL. METHODS The CDH1 DNA value (ratio of CDH1 copy number to the reference gene, RNase P) was calculated by digital polymerase chain reaction analysis of a total of 113 breast carcinoma cases (51 LCs, 54 DCs, and 8 MDLs). CDH1 gene mutation assay was performed for 20/51 LCs, 8/54 DCs, and 8 MDLs cases. RESULTS The CDH1 DNA values were lower in LCs (average: 0.664) than in DCs (average: 1.296) (p < 0.000). In MDL, The CDH1 DNA values were significantly lower in LC areas (average: 0.58), compared to that of DC areas (average: 1.08) (p = 0.004), and there is no significant difference between the intermingled areas (average: 1.05) and DC areas (p = 0.775). Moreover, CDH1 mutations occurred more frequently in MDLs than in pure LCs and DCs. In one MDL case, the identical CDH1 mutation was found in LC and DC areas. CONCLUSION Our study presented that MDL had more frequent CDH1 mutations. There were two possible processes for cancer cells in LC areas: one process was via DC areas with a common ancestor, and another was an independent process from DC areas.
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Affiliation(s)
- Xiaoyan Tang
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan.
| | - Yoko Nakanishi
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Hiroko Kobayashi
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Haruna Nishimaki
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Yoshiaki Kusumi
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan
| | - Yohei Miyagi
- Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Shinobu Masuda
- Division of Oncologic Pathology, Department of Pathology and Microbiology, Nihon University School of Medicine, 30-1 Oyaguchi-Kamicho, Itabashi-Ku, Tokyo, 173-8610, Japan
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14
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Durhan G, Poker A, Settarzade E, Karakaya J, Kösemehmetoğlu K, Akpınar MG, Demirkazık FB. Magnetic resonance imaging findings of invasive breast cancer in different histological grades and different histopathological types. Clin Imaging 2021; 76:98-103. [PMID: 33582618 DOI: 10.1016/j.clinimag.2021.01.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 01/10/2021] [Accepted: 01/29/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND The aim of this study was to evaluate the magnetic resonance imaging (MRI) findings of invasive breast cancer in different histopathological types (invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC) and mixed ductal-lobular carcinoma (MDLC)) and different histological grades. METHODS A retrospective review was made of 1256 patients who underwent breast MRI at our hospital between January 2015 and December 2018. A total of 152 lesions (27 ILC, 102 IDC, 23 MDLC and 20 grade 1, 83 grade 2 and 49 grade 3) were included in the study. All the lesions were evaluated according to size, shape, margin, dynamic curve, ADC value and T2 signal intensity ratio (SIR). RESULTS Most of the lesions tended to show type 2 and type 3 dynamic curve, type 1 dynamic curve was more commonly seen in ILC and grade 1 groups. IDC showed higher T2 SIR than the other types and grade 3 showed higher T2 SIR than other grades (p< 0,05) There was no statistically significant difference between the groups according to morphological features and mean ADC values (p > 0,05). CONCLUSION T2 SIR and dynamic curve can help the radiologists predict histopathological findings while morphological features and ADC values were not helpful in distinguishing histological types and grades.
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Affiliation(s)
- Gamze Durhan
- Hacettepe University Faculty of Medicine, Department of Radiology, Ankara, Turkey.
| | - Ahmet Poker
- Hacettepe University Faculty of Medicine, Department of Radiology, Ankara, Turkey
| | - Emil Settarzade
- Hacettepe University Faculty of Medicine, Department of Radiology, Ankara, Turkey
| | - Jale Karakaya
- Hacettepe University Faculty of Medicine, Department of Biostatistics, Ankara, Turkey
| | - Kemal Kösemehmetoğlu
- Hacettepe University Faculty of Medicine, Department of Pathology, Ankara, Turkey
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Impact of Preoperative MRI in Invasive Ductal Carcinoma With Lobular Features on Core Biopsy. Clin Breast Cancer 2020; 21:e194-e198. [PMID: 33279405 DOI: 10.1016/j.clbc.2020.08.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 08/10/2020] [Accepted: 08/13/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Invasive breast cancer is comprised of a wide spectrum of histological types with different clinical presentations, imaging characteristics, and behaviors. Almost 10% of breast cancers with predominantly invasive ductal features have lobular components on core biopsy at primary diagnosis. Although the role of magnetic resonance imaging (MRI) in patients with purely lobular cancers is well-established, it is not clear if preoperative MRI is indicated in ductal cancer with lobular features. The aim of this study was to assess the role of preoperative MRI in patients with invasive ductal cancers with lobular features on core biopsy. MATERIALS AND METHODS Data regarding patients with lobular features on core biopsy who underwent a preoperative MRI from January 2015 to December 2017 were retrospectively identified and analyzed. Imaging findings, additional investigations, and changes in treatment plans following the MRI scan were reviewed. RESULTS The study included 120 patients, of whom 42 (35%) patients required a second-look ultrasound. Following a repeat ultrasound scan, 25 breasts and 4 axillae were biopsied. Thirty-eight percent of the breast biopsies and 50% of the axillary biopsies were malignant. Based on MRI findings, treatment plans changed in 22.5% of patients. MRI size was concordant with the histological size in 58.3% of cases, and MRI was accurate in 90% of patients in detecting multifocal disease requiring mastectomy. The majority of patients with changes in the management plans had mixed ductal and lobular cancer on final histology. CONCLUSION This study has demonstrated that MRI picks up additional malignancies and changes management plans in patients with lobular features on core biopsy and should be considered in the preoperative workup.
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The prognosis of invasive ductal carcinoma, lobular carcinoma and mixed ductal and lobular carcinoma according to molecular subtypes of the breast. Breast Cancer 2020; 28:187-195. [PMID: 32812198 DOI: 10.1007/s12282-020-01146-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 08/12/2020] [Indexed: 01/20/2023]
Abstract
BACKGROUND To investigate the prognosis of females with invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC), and mixed invasive ductal and lobular carcinoma (IDLC) according to hormone receptor (HR) and HER2 status. METHODS Data of 171,881 patients from the SEER database were analyzed. Propensity score matching was used to balance the covariates. Breast cancer-specific survival (BCSS) and overall survival (OS) of IDC, ILC, and IDLC were investigated. RESULTS Patients with ILC were older, had lower tumor grade, higher tumor stage, larger tumor size, more nodal metastasis, higher estrogen receptor(+), lower HER2(-), and less likely to receive partial mastectomy and chemotherapy compared with IDC and IDLC. ILC and IDLC showed better prognosis than IDC after matching by Kaplan-Meier curves. Multivariate Cox regression showed better OS of ILC and IDLC compared with IDC with hazard ratio and a 95% confidence interval of 0.84 (0.77-0.90) and 0.91 (0.83-1.00), respectively. For HR(+)HER2(-) subgroup, ILC showed better OS than IDC; IDC showed worse BCSS and OS than IDLC. For HR(+)HER2(+); ILC showed better OS compared with IDLC; there were no survival differences of IDC, ILC, and IDLC for HER2(+). For HR(-)HER2(-), ILC and IDC showed better BCSS and OS compared with IDLC by multivariate analysis. CONCLUSIONS The prognoses of female patients with IDC, ILC or IDLC were associated with the molecular subtypes of breast carcinoma. Management decisions should be based on pathological types and molecular subtypes.
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Lu K, Wang X, Zhang W, Ye H, Lao L, Zhou X, Yao S, Lv F. Clinicopathological and genomic features of breast mucinous carcinoma. Breast 2020; 53:130-137. [PMID: 32781417 PMCID: PMC7419658 DOI: 10.1016/j.breast.2020.07.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 07/26/2020] [Accepted: 07/28/2020] [Indexed: 12/31/2022] Open
Abstract
Introduction Mucinous carcinoma (MC) of the breast is a special histological type of breast cancer. Clinicopathological characteristics and genomic features of MC is not fully understood. Materials and methods 186,497 primary breast cancer patients from SEER database diagnosed with invasive ductal carcinoma (IDC) or MC were included. 801 primary IDC or MC patients from TCGA cohort were included for transcriptomic and genomic analysis. Results MC patients were older, had lower tumor grade and T and N stage, higher hormone receptor positive proportions and lower HER2 positive proportions than IDC patients. Kaplan-Meier plots showed that the breast cancer-specific survival (BCSS) of MC patients was significantly better than IDC patients (P < 0.001). However, after adjusting for clinicopathological factors, survival advantage of MC disappeared. In terms of genomic features of MC, representative upregulated genes of MC in transcriptomic level were MUC2, TFF1 and CARTPT. Upregulated pathways of MC included neurotransmitter-related pathways. Moreover, MC was featured by the amplification of 6p25.2, 6q12 and 11q12.3. Conclusion MC is a distinct histological subtype compared with IDC in terms of clinicopathological characteristics and genomic features. Further investigation need to be conducted to explore the formation of this specific histological subtype. Mucinous breast carcinoma is a distinct histological subtype with better prognosis. The clinicopathological characteristics of mucinous breast carcinoma contributed to its good prognosis. Transcriptomic and genomic features of mucinous breast carcinoma contributed to its formation.
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Affiliation(s)
- Kebin Lu
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Xiao'e Wang
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Wenyuan Zhang
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Hui Ye
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Lingling Lao
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Xiaodong Zhou
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Sijie Yao
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China
| | - Feng Lv
- Department of General Surgery, Yuyao People's Hospital of Zhejiang Province, Yuyao, Zhejiang, 315400, PR China.
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Khoshdeli M, Borowsky A, Parvin B. Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2019; 2018:620-623. [PMID: 30440473 DOI: 10.1109/embc.2018.8512357] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Aberration in tissue architecture is an essential index for cancer diagnosis and tumor grading. Therefore, extracting features of aberrant phenotypes and classification of the histology tissue can provide a model for computer-aided pathology (CAP). As a case study, we investigate the application of convolutional neural networks (CNN)s for tumor grading and decomposing tumor architecture from hematoxylin and eosin (H&E) stained histology sections of kidney. The former and latter contribute to CAP and the role of the tumor architecture on the outcome (e.g., survival), respectively. A training set is constructed and sample images are classified into six categories of normal, fat, blood, stroma, low-grade granular tumor, and high-grade clear cell carcinoma. We have compared the performances of a deep versus shallow networks, and shown that the deeper model outperforms the shallow network.
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Metzger-Filho O, Ferreira AR, Jeselsohn R, Barry WT, Dillon DA, Brock JE, Vaz-Luis I, Hughes ME, Winer EP, Lin NU. Mixed Invasive Ductal and Lobular Carcinoma of the Breast: Prognosis and the Importance of Histologic Grade. Oncologist 2018; 24:e441-e449. [PMID: 30518616 DOI: 10.1634/theoncologist.2018-0363] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 08/31/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The diagnosis of mixed invasive ductal and lobular carcinoma (IDC-L) in clinical practice is often associated with uncertainty related to its prognosis and response to systemic therapies. With the increasing recognition of invasive lobular carcinoma (ILC) as a distinct disease subtype, questions surrounding IDC-L become even more relevant. In this study, we took advantage of a detailed clinical database to compare IDC-L and ILC regarding clinicopathologic and treatment characteristics, prognostic power of histologic grade, and survival outcomes. MATERIALS AND METHODS In this retrospective cohort study, we identified 811 patients diagnosed with early-stage breast cancer with IDC-L or ILC. Descriptive statistics were performed to compare baseline clinicopathologic characteristics and treatments. Survival rates were subsequently analyzed using the Kaplan-Meier method and compared using the Cox proportional hazards model. RESULTS Patients with ILC had more commonly multifocal disease, low to intermediate histologic grade, and HER2-negative disease. Histologic grade was prognostic for patients with IDC-L but had no significant discriminatory power in patients with ILC. Among postmenopausal women, those with IDC-L had significantly better outcomes when compared with those with ILC: disease-free survival (DFS) and overall survival (OS; adjusted hazard ratio [HR], 0.54; 95% confidence interval [CI] 0.31-0.95). Finally, postmenopausal women treated with an aromatase inhibitor had more favorable DFS and OS than those treated with tamoxifen only (OS adjusted HR, 0.50; 95% CI, 0.29-0.87), which was similar for both histologic types (p = .212). CONCLUSION IDC-L tumors have a better prognosis than ILC tumors, particularly among postmenopausal women. Histologic grade is an important prognostic factor in IDC-L but not in ILC. IMPLICATIONS FOR PRACTICE This study compared mixed invasive ductal and lobular carcinoma (IDC-L) with invasive lobular carcinomas (ILCs) to assess the overall prognosis, the prognostic role of histologic grade, and response to systemic therapy. It was found that patients with IDC-L tumors have a better prognosis than ILC, particularly among postmenopausal women, which may impact follow-up strategies. Moreover, although histologic grade failed to stratify the risk of ILC, it showed an important prognostic power in IDC-L, thus highlighting its clinical utility to guide treatment decisions of IDC-L. Finally, the disease-free survival advantage of adjuvant aromatase inhibitors over tamoxifen in ILC was consistent in IDC-L.
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Affiliation(s)
- Otto Metzger-Filho
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Arlindo R Ferreira
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Hospital de Santa Maria and Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Rinath Jeselsohn
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - William T Barry
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Deborah A Dillon
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jane E Brock
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ines Vaz-Luis
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Melissa E Hughes
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Eric P Winer
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Nancy U Lin
- Dana-Farber Cancer Institute, Brigham and Women's Hospital, Boston, Massachusetts, USA
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