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Nakagawa S, Miyashita M, Maeda I, Goda A, Tada H, Amari M, Kojima Y, Tsugawa K, Ohi Y, Sagara Y, Sato M, Ebata A, Harada-Shoji N, Suzuki T, Nakanishi M, Ohta T, Ishida T. Potential role of Fbxo22 in resistance to endocrine therapy in breast cancer with invasive lobular carcinoma. Breast Cancer Res Treat 2024; 204:453-463. [PMID: 38180699 PMCID: PMC10959795 DOI: 10.1007/s10549-023-07209-2] [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: 09/25/2023] [Accepted: 11/29/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Invasive lobular carcinoma (ILC) is distinct from invasive ductal carcinoma (IDC) in terms of their hormonal microenvironments that may require different therapeutic strategies. We previously reported that selective estrogen receptor modulator (SERM) function requires F-box protein 22 (Fbxo22). Here, we investigated the role of Fbxo22 as a potential biomarker contributing to the resistance to endocrine therapy in ILC. METHODS A total of 302 breast cancer (BC) patients including 150 ILC were recruited in the study. Fbxo22 expression and clinical information were analyzed to elucidate whether Fbxo22 negativity could be a prognostic factor or there were any correlations among clinical variables and SERM efficacy. RESULTS Fbxo22 negativity was significantly higher in ILC compared with IDC (58.0% vs. 27.0%, P < 0.001) and higher in postmenopausal patients than premenopausal patients (64.1% vs. 48.2%, P = 0.041). In the ILC cohort, Fbxo22-negative patients had poorer overall survival (OS) than Fbxo22-positive patients, with 10-year OS rates of 77.4% vs. 93.6% (P = 0.055). All patients treated with SERMs, Fbxo22 negativity resulted in a poorer outcome, with 10-year OS rates of 81.3% vs. 92.3% (P = 0.032). In multivariate analysis regarding recurrence-free survival (RFS) in ILC patients, Fbxo22 status was independently predictive of survival as well as lymph node metastasis. CONCLUSION Fbxo22 negativity significantly impacts on survival in BC patients with IDC and ILC, and the disadvantage was enhanced among ILC postmenopausal women or patients treated with SERMs. The findings suggest that different therapeutic strategies might be needed according to the different histopathological types when considering adjuvant endocrine therapy.
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Affiliation(s)
- Saki Nakagawa
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
- Department of Breast Surgery, Osaki Citizen Hospital, Osaki, Japan
| | - Minoru Miyashita
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan.
| | - Ichiro Maeda
- Department of Pathology, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
- Department of Pathology, Kitasato University School of Medicine, Sagamihara, Japan
- Department of Pathology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Atsushi Goda
- Department of Pathology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Hiroshi Tada
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
| | - Masakazu Amari
- Department of Breast Surgery, Tohoku Kosai Hospital, Sendai, Japan
| | - Yasuyuki Kojima
- Department of Breast and Endocrine Surgery, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Koichiro Tsugawa
- Department of Breast and Endocrine Surgery, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Yasuyo Ohi
- Department of Pathology, Hakuaikai Sagara Hospital, Kagoshima, Japan
| | - Yasuaki Sagara
- Department of Breast Surgical Oncology, Hakuaikai Sagara Hospital, Kagoshima, Japan
| | - Miku Sato
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
| | - Akiko Ebata
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
| | - Narumi Harada-Shoji
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
| | - Takashi Suzuki
- Department of Pathology, Tohoku University Hospital, Sendai, Japan
| | - Makoto Nakanishi
- Division of Cancer Cell Biology, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Tomohiko Ohta
- Department of Translational Oncology, St. Marianna University Graduate School of Medicine, Kawasaki, Japan
| | - Takanori Ishida
- Department of Breast and Endocrine Surgical Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
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Sreekumar A, Lu M, Choudhury B, Pan TC, Pant DK, Lawrence-Paul MR, Sterner CJ, Belka GK, Toriumi T, Benz BA, Escobar-Aguirre M, Marino FE, Esko JD, Chodosh LA. B3GALT6 promotes dormant breast cancer cell survival and recurrence by enabling heparan sulfate-mediated FGF signaling. Cancer Cell 2024; 42:52-69.e7. [PMID: 38065100 PMCID: PMC10872305 DOI: 10.1016/j.ccell.2023.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 08/22/2023] [Accepted: 11/14/2023] [Indexed: 01/11/2024]
Abstract
Breast cancer mortality results from incurable recurrences thought to be seeded by dormant, therapy-refractory residual tumor cells (RTCs). Understanding the mechanisms enabling RTC survival is therefore essential for improving patient outcomes. Here, we derive a dormancy-associated RTC signature that mirrors the transcriptional response to neoadjuvant therapy in patients and is enriched for extracellular matrix-related pathways. In vivo CRISPR-Cas9 screening of dormancy-associated candidate genes identifies the galactosyltransferase B3GALT6 as a functional regulator of RTC fitness. B3GALT6 is required for glycosaminoglycan (GAG) linkage to proteins to generate proteoglycans, and its germline loss of function in patients causes skeletal dysplasias. We find that B3GALT6-mediated biosynthesis of heparan sulfate GAGs predicts poor patient outcomes and promotes tumor recurrence by enhancing dormant RTC survival in multiple contexts, and does so via a B3GALT6-heparan sulfate/HS6ST1-heparan 6-O-sulfation/FGF1-FGFR2 signaling axis. These findings implicate B3GALT6 in cancer and nominate FGFR2 inhibition as a promising approach to eradicate dormant RTCs and prevent recurrence.
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Affiliation(s)
- Amulya Sreekumar
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michelle Lu
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Biswa Choudhury
- Department of Cellular and Molecular Medicine, Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Tien-Chi Pan
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dhruv K Pant
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew R Lawrence-Paul
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christopher J Sterner
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - George K Belka
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Takashi Toriumi
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Brian A Benz
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matias Escobar-Aguirre
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Francesco E Marino
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Jeffrey D Esko
- Department of Cellular and Molecular Medicine, Glycobiology Research and Training Center, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lewis A Chodosh
- Department of Cancer Biology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Abramson Family Cancer Research Institute, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
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Jakub JW, Zhang W, Solanki M, Yonkus J, Boughey JC, Harmsen S, Giridhar KV. Response Rates of Invasive Lobular Cancer in Patients Undergoing Neoadjuvant Endocrine or Chemotherapy. Am Surg 2023; 89:230-237. [PMID: 36305029 DOI: 10.1177/00031348221135778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND A gap remains in the role of neoadjuvant therapy for patients with ILC. METHOD Single-institution retrospective review of patients with ILC who received neoadjuvant therapy between 2008 and 2019. RESULTS 141 patients met inclusion criteria: 71 neoadjuvant chemotherapy (NACT) and 70 neoadjuvant endocrine therapy (NET). 7/71 (9.9%) patients had a pCR following NACT compared to 1/70 (1.4%) with NET (P = .063). pCR was observed in 5/18 (27.8%) patients with Her2Neu-positive disease following NACT, compared to 2/53 (3.8%) with Her2Neu-negative disease (P = .01).For luminal B tumors, median Ki-67 decrease was similar following NACT and NET (18.3 vs 16.3, P = .26).T category decreased in 59 (42.1%) patients following neoadjuvant therapy, increased in 9 (6.4%), and was unchanged in 72 (51.4%). More patients had an increase (28.6%) than decrease (12.1%) in their N category, including 13/60 (21.7%) who were clinically node-negative at diagnosis and identified to have node-positive disease following neoadjuvant therapy, at definitive surgery. CONCLUSION In Her2Neu-negative ILC, the potential of a pCR with NACT or NET is low. Most patients' nodal status and tumor size remain unchanged. There is a potential for pathologic stage to be higher at surgery compared to the clinical stage prior to neoadjuvant therapy.
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Affiliation(s)
- James W Jakub
- Division of Surgical Oncology, 156400Mayo Clinic, Jacksonville, FL, USA
| | - Wenexia Zhang
- Department of Breast Surgery, Shenzhen Maternity & Child Healthcare Hospital, 248258Nanfang Medical University, Shen Zhen Shi, Guangdong, China
| | - Malvika Solanki
- Department of Laboratory Medicine and Pathology, 4352Mayo Clinic, Rochester, MN, USA
| | | | - Judy C Boughey
- Division of Breast & Melanoma Surgical Oncology, 4352Mayo Clinic, Rochester, MN, USA
| | - Scott Harmsen
- Department of Biostatistics, 4352Mayo Clinic, Rochester, MN, USA
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Martínez-Pérez C, Turnbull AK, Kay C, Dixon JM. Neoadjuvant endocrine therapy in postmenopausal women with HR+/HER2- breast cancer. Expert Rev Anticancer Ther 2023; 23:67-86. [PMID: 36633402 DOI: 10.1080/14737140.2023.2162043] [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: 10/14/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
INTRODUCTION While endocrine therapy is the standard-of-care adjuvant treatment for hormone receptor-positive (HR+) breast cancers, there is also extensive evidence for the role of pre-operative (or neoadjuvant) endocrine therapy (NET) in HR+ postmenopausal women. AREAS COVERED We conducted a thorough review of the published literature, to summarize the evidence to date, including studies of how NET compares to neoadjuvant chemotherapy, which NET agents are preferable, and the optimal duration of NET. We describe the importance of on-treatment assessment of response, the different predictors available (including Ki67, PEPI score, and molecular signatures) and the research opportunities the pre-operative setting offers. We also summarize recent combination trials and discuss how the COVID-19 pandemic led to increases in NET use for safe management of cases with deferred surgery and adjuvant treatments. EXPERT OPINION NET represents a safe and effective tool for the management of postmenopausal women with HR+/HER2- breast cancer, enabling disease downstaging and a wider range of surgical options. Aromatase inhibitors are the preferred NET, with evidence suggesting that longer regimens might yield optimal results. However, NET remains currently underutilised in many territories and institutions. Further validation of predictors for treatment response and benefit is needed to help standardise and fully exploit the potential of NET in the clinic.
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Affiliation(s)
- Carlos Martínez-Pérez
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
- Edinburgh Breast Cancer Now Research Team, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Arran K Turnbull
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
- Edinburgh Breast Cancer Now Research Team, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Charlene Kay
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
- Edinburgh Breast Cancer Now Research Team, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - J Michael Dixon
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
- Edinburgh Breast Cancer Now Research Team, MRC Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
- Edinburgh Breast Unit, Western General Hospital, Edinburgh, Scotland
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5
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Mukhtar RA, Hoskin TL, Habermann EB, Day CN, Boughey JC. Changes in Management Strategy and Impact of Neoadjuvant Therapy on Extent of Surgery in Invasive Lobular Carcinoma of the Breast: Analysis of the National Cancer Database (NCDB). Ann Surg Oncol 2021; 28:5867-5877. [PMID: 33687613 PMCID: PMC8460506 DOI: 10.1245/s10434-021-09715-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 01/26/2021] [Indexed: 11/19/2022]
Abstract
Background Given reports of low response rates to neoadjuvant chemotherapy (NAC) in invasive lobular carcinoma (ILC), we evaluated whether use of alternative strategies such as neoadjuvant endocrine therapy (NET) is increasing. Additionally, we investigated whether NET is associated with more breast conservation surgery (BCS) and less extensive axillary surgery in those with ILC. Patients and Methods We queried the NCDB from 2010 to 2016 and identified all women with stage I–III hormone receptor positive, human epidermal growth factor receptor-2 negative (HR+/HER2−) ILC who underwent surgery. We used Cochrane–Armitage tests to evaluate trends in utilization of the following treatment strategies: NAC, short-course NET, long-course NET, and primary surgery. We compared rates of BCS and extent of axillary surgery stratified by clinical stage and tumor receptor subtype for each treatment strategy. Results Among 69,312 cases of HR+/HER2− ILC, NAC use decreased slightly (from 4.7 to 4.2%, p = 0.007), while there was a small but significant increase in long-course NET (from 1.6 to 2.7%, p < 0.001). Long-course NET was significantly associated with increased BCS in patients with cT2–cT4 disease and less extensive axillary surgery in clinically node positive patients with HR+/HER2− tumors. Conclusions Primary surgery remains the most common treatment strategy in patients with ILC. However, NAC use decreased slightly over the study period, while the use of long-course NET had a small increase and was associated with more BCS and less extensive axillary surgery.
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Affiliation(s)
- Rita A Mukhtar
- Department of Surgery, University of California, San Francisco, CA, USA.
| | - Tanya L Hoskin
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Elizabeth B Habermann
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.,Department of Surgery, Mayo Clinic, Rochester, MN, USA.,Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA
| | - Courtney N Day
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
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Borgoni S, Sofyalı E, Soleimani M, Wilhelm H, Müller-Decker K, Will R, Noronha A, Beumers L, Verschure PJ, Yarden Y, Magnani L, van Kampen AH, Moerland PD, Wiemann S. Time-Resolved Profiling Reveals ATF3 as a Novel Mediator of Endocrine Resistance in Breast Cancer. Cancers (Basel) 2020; 12:E2918. [PMID: 33050633 PMCID: PMC7650760 DOI: 10.3390/cancers12102918] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/29/2020] [Accepted: 10/07/2020] [Indexed: 01/05/2023] Open
Abstract
Breast cancer is one of the leading causes of death for women worldwide. Patients whose tumors express Estrogen Receptor α account for around 70% of cases and are mostly treated with targeted endocrine therapy. However, depending on the degree of severity of the disease at diagnosis, 10 to 40% of these tumors eventually relapse due to resistance development. Even though recent novel approaches as the combination with CDK4/6 inhibitors increased the overall survival of relapsing patients, this remains relatively short and there is a urgent need to find alternative targetable pathways. In this study we profiled the early phases of the resistance development process to uncover drivers of this phenomenon. Time-resolved analysis revealed that ATF3, a member of the ATF/CREB family of transcription factors, acts as a novel regulator of the response to therapy via rewiring of central signaling processes towards the adaptation to endocrine treatment. ATF3 was found to be essential in controlling crucial processes such as proliferation, cell cycle, and apoptosis during the early response to treatment through the regulation of MAPK/AKT signaling pathways. Its essential role was confirmed in vivo in a mouse model, and elevated expression of ATF3 was verified in patient datasets, adding clinical relevance to our findings. This study proposes ATF3 as a novel mediator of endocrine resistance development in breast cancer and elucidates its role in the regulation of downstream pathways activities.
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Affiliation(s)
- Simone Borgoni
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; (E.S.); (H.W.); (L.B.)
- Faculty of Biosciences, University of Heidelberg, Im Neuenheimer Feld 234, 69120 Heidelberg, Germany
| | - Emre Sofyalı
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; (E.S.); (H.W.); (L.B.)
- Faculty of Biosciences, University of Heidelberg, Im Neuenheimer Feld 234, 69120 Heidelberg, Germany
| | - Maryam Soleimani
- Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.S.); (A.H.C.v.K.); (P.D.M.)
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Heike Wilhelm
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; (E.S.); (H.W.); (L.B.)
| | - Karin Müller-Decker
- Tumor Models Core Facility, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;
| | - Rainer Will
- Genomics and Proteomics Core Facility, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany;
| | - Ashish Noronha
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel; (A.N.); (Y.Y.)
| | - Lukas Beumers
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; (E.S.); (H.W.); (L.B.)
- Faculty of Biosciences, University of Heidelberg, Im Neuenheimer Feld 234, 69120 Heidelberg, Germany
| | - Pernette J. Verschure
- Synthetic Systems Biology and Nuclear Organization, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands;
| | - Yosef Yarden
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel; (A.N.); (Y.Y.)
| | - Luca Magnani
- Department of Surgery and Cancer, Imperial College London, W12 0NN London, UK;
| | - Antoine H.C. van Kampen
- Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.S.); (A.H.C.v.K.); (P.D.M.)
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Perry D. Moerland
- Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.S.); (A.H.C.v.K.); (P.D.M.)
| | - Stefan Wiemann
- Division of Molecular Genome Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany; (E.S.); (H.W.); (L.B.)
- Faculty of Biosciences, University of Heidelberg, Im Neuenheimer Feld 234, 69120 Heidelberg, Germany
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Hu G, Hu G, Zhang C, Lin X, Shan M, Yu Y, Lu Y, Niu R, Ye H, Wang C, Xu C. Adjuvant chemotherapy could not bring survival benefit to HR-positive, HER2-negative, pT1b-c/N0-1/M0 invasive lobular carcinoma of the breast: a propensity score matching study based on SEER database. BMC Cancer 2020; 20:136. [PMID: 32085753 PMCID: PMC7035707 DOI: 10.1186/s12885-020-6614-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 02/07/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND The benefit of adjuvant chemotherapy in invasive lobular carcinoma (ILC) is still unclear. The objective of the current study was to elucidate the effectiveness of adjuvant chemotherapy in hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, pT1b-c/N0-1/M0 ILC. METHODS Based on Surveillance, Epidemiology, and End-Results (SEER) database, we identified original 12,334 HR-positive, HER2-negative, pT1b-c/N0-1/M0 ILC patients, who were then divided into adjuvant chemotherapy group and control group. End-points were overall survival (OS) and breast cancer-specific mortality (BCSM). Aiming to minimize the selection bias of baseline characteristics, Propensity Score Matching (PSM) method was used. RESULTS In a total of 12,334 patients with HR-positive, HER2-negative, pT1b-c/N0-1/M0 ILC, 1785 patients (14.5%) were allocated into adjuvant chemotherapy group and 10,549 (85.5%) into control group. Used PSM, the 1785 patients in adjuvant chemotherapy group matched to the 1785 patients in control group. By Kaplan-Meier survival analyses, we observed no beneficial effect of adjuvant chemotherapy on OS in both original samples (P = 0.639) and matched samples (P = 0.962), however, ineffective or even contrary results of adjuvant chemotherapy on BCSM both in original samples (P = 0.001) and in matched samples (P = 0.002). In both original and matched multivariate Cox models, we observed ineffectiveness of adjuvant chemotherapy on OS (hazard ratio (HR) for overall survival = 0.82, 95% confidence interval (CI) [0.62-1.09]; P = 0.172 and HR = 0.90, 95%CI [0.65-1.26]; P = 0.553, respectively), unexpectedly promoting effect of adjuvant chemotherapy on BCSM (HR = 2.33, 95%CI [1.47-3.67]; P = 0.001 and HR = 2.41, 95%CI [1.32-4.39]; P = 0.004, respectively). Standard surgery was beneficial to the survival of patients. Lymph node metastasis was detrimental to survival and radiotherapy brought survival benefit in original samples, but two issues had unobvious effect in matched samples. CONCLUSION In this study, adjuvant chemotherapy did not improve survival for patients with HR-positive, HER2-negative pT1b-c/N0-1/M0 ILC.
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Affiliation(s)
- Guangfu Hu
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guangxia Hu
- Department of Pathology, Binzhong People's Hospital, Affiliated to First Shandong Medical University, Binzhong, China
| | - Chengjiao Zhang
- Department of Psychological Measurement, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyan Lin
- Department of Breast Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ming Shan
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanmin Yu
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongwei Lu
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruijie Niu
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Ye
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cheng Wang
- Department of Breast Surgery, Huangpu Branch, Shanghai Ninth People's Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Cheng Xu
- Department of Breast Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, China.
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Bownes RJ, Turnbull AK, Martinez-Perez C, Cameron DA, Sims AH, Oikonomidou O. On-treatment biomarkers can improve prediction of response to neoadjuvant chemotherapy in breast cancer. Breast Cancer Res 2019; 21:73. [PMID: 31200764 PMCID: PMC6570893 DOI: 10.1186/s13058-019-1159-3] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 06/05/2019] [Indexed: 01/20/2023] Open
Abstract
Background Neoadjuvant chemotherapy is increasingly given preoperatively to shrink breast tumours prior to surgery. This approach also provides the opportunity to study the molecular changes associated with treatment and evaluate whether on-treatment sequential samples can improve response and outcome predictions over diagnostic or excision samples alone. Methods This study included a total of 97 samples from a cohort of 50 women (aged 29–76, with 46% ER+ and 20% HER2+ tumours) with primary operable breast cancer who had been treated with neoadjuvant chemotherapy. Biopsies were taken at diagnosis, at 2 weeks on-treatment, mid-chemotherapy, and at resection. Fresh frozen samples were sequenced with Ion AmpliSeq Transcriptome yielding expression values for 12,635 genes. Differential expression analysis was performed across 16 patients with a complete pathological response (pCR) and 34 non-pCR patients, and over treatment time to identify significantly differentially expressed genes, pathways, and markers indicative of response status. Prediction accuracy was compared with estimations of established gene signatures, for this dataset and validated using data from the I-SPY 1 Trial. Results Although changes upon treatment are largely similar between the two cohorts, very few genes were found to be consistently different between responders and non-responders, making the prediction of response difficult. AAGAB was identified as a novel potential on-treatment biomarker for pathological complete response, with an accuracy of 100% in the NEO training dataset and 78% accuracy in the I-SPY 1 testing dataset. AAGAB levels on-treatment were also significantly predictive of outcome (p = 0.048, p = 0.0036) in both cohorts. This single gene on-treatment biomarker had greater predictive accuracy than established prognostic tests, Mammaprint and PAM50 risk of recurrence score, although interestingly, both of these latter tests performed better in the on-treatment rather than the accepted pre-treatment setting. Conclusion Changes in gene expression measured in sequential samples from breast cancer patients receiving neoadjuvant chemotherapy resulted in the identification of a potentially novel on-treatment biomarker and suggest that established prognostic tests may have greater prediction accuracy on than before treatment. These results support the potential use and further evaluation of on-treatment testing in breast cancer to improve the accuracy of tumour response prediction. Electronic supplementary material The online version of this article (10.1186/s13058-019-1159-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Richard J Bownes
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Arran K Turnbull
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Carlos Martinez-Perez
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - David A Cameron
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.,Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
| | - Andrew H Sims
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.
| | - Olga Oikonomidou
- University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.,Edinburgh Cancer Centre, Western General Hospital, Edinburgh, UK
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9
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Selli C, Turnbull AK, Pearce DA, Li A, Fernando A, Wills J, Renshaw L, Thomas JS, Dixon JM, Sims AH. Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours. Breast Cancer Res 2019; 21:2. [PMID: 30616553 PMCID: PMC6323855 DOI: 10.1186/s13058-018-1089-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Accepted: 12/19/2018] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The risk of recurrence for endocrine-treated breast cancer patients persists for many years or even decades following surgery and apparently successful adjuvant therapy. This period of dormancy and acquired resistance is inherently difficult to investigate; previous efforts have been limited to in-vitro or in-vivo approaches. In this study, sequential tumour samples from patients receiving extended neoadjuvant aromatase inhibitor therapy were characterised as a novel clinical model. METHODS Consecutive tumour samples from 62 patients undergoing extended (4-45 months) neoadjuvant aromatase inhibitor therapy with letrozole were subjected to transcriptomic and proteomic analysis, representing before (≤ 0), early (13-120 days), and long-term (> 120 days) neoadjuvant aromatase inhibitor therapy with letrozole. Patients with at least a 40% initial reduction in tumour size by 4 months of treatment were included. Of these, 42 patients with no subsequent progression were classified as "dormant", and the remaining 20 patients as "acquired resistant". RESULTS Changes in gene expression in dormant tumours begin early and become more pronounced at later time points. Therapy-induced changes in resistant tumours were common features of treatment, rather than being specific to the resistant phenotype. Comparative analysis of long-term treated dormant and resistant tumours highlighted changes in epigenetics pathways including DNA methylation and histone acetylation. The DNA methylation marks 5-methylcytosine and 5-hydroxymethylcytosine were significantly reduced in resistant tumours compared with dormant tissues after extended letrozole treatment. CONCLUSIONS This is the first patient-matched gene expression study investigating long-term aromatase inhibitor-induced dormancy and acquired resistance in breast cancer. Dormant tumours continue to change during treatment whereas acquired resistant tumours more closely resemble their diagnostic samples. Global loss of DNA methylation was observed in resistant tumours under extended treatment. Epigenetic alterations may lead to escape from dormancy and drive acquired resistance in a subset of patients, supporting a potential role for therapy targeted at these epigenetic alterations in the management of resistance to oestrogen deprivation therapy.
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Affiliation(s)
- Cigdem Selli
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.,Department of Pharmacology, Faculty of Pharmacy, Ege University, 35040, Izmir, Turkey
| | - Arran K Turnbull
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.,Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - Dominic A Pearce
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Ang Li
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Anu Fernando
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.,Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - Jimi Wills
- Mass Spectrometry Unit, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
| | - Lorna Renshaw
- Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - Jeremy S Thomas
- Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - J Michael Dixon
- Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
| | - Andrew H Sims
- Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK.
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10
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Wang K, Zhu GQ, Shi Y, Li ZY, Zhang X, Li HY. Long-Term Survival Differences Between T1-2 Invasive Lobular Breast Cancer and Corresponding Ductal Carcinoma After Breast-Conserving Surgery: A Propensity-Scored Matched Longitudinal Cohort Study. Clin Breast Cancer 2018; 19:e101-e115. [PMID: 30502219 DOI: 10.1016/j.clbc.2018.10.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Revised: 10/01/2018] [Accepted: 10/24/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND The role of histology subtype on the prognosis of T1-2 breast cancer patients receiving breast-conserving surgery (BCS) is not clear. METHODS The Surveillance, Epidemiology, and End Results (SEER) Program was used to compare overall survival, second primary cancer-free survival (CFS), and local recurrence risk (LR) for patients with invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC), both receiving BCS. RESULTS The study enrolled 196,688 patients with T1-2 disease receiving BCS, including 12,906 with ILC and 183,782 with IDC. Patients with IDC showed higher unadjusted annual rates of BCS than ILC. Five- and 10-year estimated survival rates were, respectively, 92.06% and 86.14% in ILC, compared to 90.50% and 85.26% in IDC (P = .12). In multivariable Cox regression, ILC patients showed advantage over IDC in overall survival (hazard ratio [HR] = 0.93, P = .001), whereas no significant differences in CFS (HR = 1.03, P = .33) and LR (HR = 1.17, P = .06) were found, which were consistent with results from matched cohort. In subgroup analyses, patients with grade III ILC had poorer CFS (HR = 1.23, P = .009) and higher LR (HR = 1.59, P = .01) than IDC. CONCLUSION Histologic type is of prognostic importance in T1-2 patients receiving BCS, and surgeons should be cautious in performing BCS for individuals with grade III ILC.
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Affiliation(s)
- Kang Wang
- Department of Endocrine and Breast Surgery, First Affiliated Hospital of Chongqing Medical University, Chongqing, China, Fudan University, Shanghai, China
| | - Gui-Qi Zhu
- Liver Cancer Institute, Zhong Shan Hospital, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
| | - Yang Shi
- Division of Biostatistics and Data Science, Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA; Department of Epidemiology and Biostatistics, West China School of Public Health, West China Hospital, Sichuan University, Chengdu, China
| | - Zhu-Yue Li
- West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China; Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China
| | - Xiang Zhang
- Department of Endocrine and Breast Surgery, First Affiliated Hospital of Chongqing Medical University, Chongqing, China, Fudan University, Shanghai, China.
| | - Hong-Yuan Li
- Department of Endocrine and Breast Surgery, First Affiliated Hospital of Chongqing Medical University, Chongqing, China, Fudan University, Shanghai, China.
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11
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Du T, Sikora MJ, Levine KM, Tasdemir N, Riggins RB, Wendell SG, Van Houten B, Oesterreich S. Key regulators of lipid metabolism drive endocrine resistance in invasive lobular breast cancer. Breast Cancer Res 2018; 20:106. [PMID: 30180878 PMCID: PMC6124012 DOI: 10.1186/s13058-018-1041-8] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Accepted: 08/20/2018] [Indexed: 02/07/2023] Open
Abstract
Background Invasive lobular breast carcinoma (ILC) is a histological subtype of breast cancer that is characterized by loss of E-cadherin and high expression of estrogen receptor alpha (ERα). In many cases, ILC is effectively treated with adjuvant aromatase inhibitors (AIs); however, acquired AI resistance remains a significant problem. Methods To identify underlying mechanisms of acquired anti-estrogen resistance in ILC, we recently developed six long-term estrogen-deprived (LTED) variant cell lines from the human ILC cell lines SUM44PE (SUM44; two lines) and MDA-MB-134VI (MM134; four lines). To better understand mechanisms of AI resistance in these models, we performed transcriptional profiling analysis by RNA-sequencing followed by candidate gene expression and functional studies. Results MM134 LTED cells expressed ER at a decreased level and lost growth response to estradiol, while SUM44 LTED cells retained partial ER activity. Our transcriptional profiling analysis identified shared activation of lipid metabolism across all six independent models. However, the underlying basis of this signature was distinct between models. Oxysterols were able to promote the proliferation of SUM44 LTED cells but not MM134 LTED cells. In contrast, MM134 LTED cells displayed a high expression of the sterol regulatory element-binding protein 1 (SREBP1), a regulator of fatty acid and cholesterol synthesis, and were hypersensitive to genetic or pharmacological inhibition of SREBPs. Several SREBP1 downstream targets involved in fatty acid synthesis, including FASN, were induced, and MM134 LTED cells were more sensitive to etomoxir, an inhibitor of the rate-limiting enzyme in beta-oxidation, than their respective parental control cells. Finally, in silico expression analysis in clinical specimens from a neo-adjuvant endocrine trial showed a significant association between the increase of SREBP1 expression and lack of clinical response, providing further support for a role of SREBP1 in the acquisition of endocrine resistance in breast cancer. Conclusions Our characterization of a unique series of AI-resistant ILC models identifies the activation of key regulators of fatty acid and cholesterol metabolism, implicating lipid-metabolic processes driving estrogen-independent growth of ILC cells. Targeting these changes may prove a strategy for prevention and treatment of endocrine resistance for patients with ILC. Electronic supplementary material The online version of this article (10.1186/s13058-018-1041-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tian Du
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA.,School of Medicine, Tsinghua University, Beijing, 100084, China
| | - Matthew J Sikora
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA.,Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Kevin M Levine
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA.,Department of Pathology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Nilgun Tasdemir
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA.,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Rebecca B Riggins
- Department of Oncology, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, 20057, USA
| | - Stacy G Wendell
- Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Bennett Van Houten
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA.,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Steffi Oesterreich
- Women's Cancer Research Center, UPMC Hillman Cancer Institute, Magee Womens Research Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. .,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
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12
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Horne HN, Oh H, Sherman ME, Palakal M, Hewitt SM, Schmidt MK, Milne RL, Hardisson D, Benitez J, Blomqvist C, Bolla MK, Brenner H, Chang-Claude J, Cora R, Couch FJ, Cuk K, Devilee P, Easton DF, Eccles DM, Eilber U, Hartikainen JM, Heikkilä P, Holleczek B, Hooning MJ, Jones M, Keeman R, Mannermaa A, Martens JWM, Muranen TA, Nevanlinna H, Olson JE, Orr N, Perez JIA, Pharoah PDP, Ruddy KJ, Saum KU, Schoemaker MJ, Seynaeve C, Sironen R, Smit VTHBM, Swerdlow AJ, Tengström M, Thomas AS, Timmermans AM, Tollenaar RAEM, Troester MA, van Asperen CJ, van Deurzen CHM, Van Leeuwen FF, Van't Veer LJ, García-Closas M, Figueroa JD. E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association Consortium. Sci Rep 2018; 8:6574. [PMID: 29700408 PMCID: PMC5920115 DOI: 10.1038/s41598-018-23733-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 03/16/2018] [Indexed: 01/20/2023] Open
Abstract
E-cadherin (CDH1) is a putative tumor suppressor gene implicated in breast carcinogenesis. Yet, whether risk factors or survival differ by E-cadherin tumor expression is unclear. We evaluated E-cadherin tumor immunohistochemistry expression using tissue microarrays of 5,933 female invasive breast cancers from 12 studies from the Breast Cancer Consortium. H-scores were calculated and case-case odds ratios (OR) and 95% confidence intervals (CIs) were estimated using logistic regression. Survival analyses were performed using Cox regression models. All analyses were stratified by estrogen receptor (ER) status and histologic subtype. E-cadherin low cases (N = 1191, 20%) were more frequently of lobular histology, low grade, >2 cm, and HER2-negative. Loss of E-cadherin expression (score < 100) was associated with menopausal hormone use among ER-positive tumors (ever compared to never users, OR = 1.24, 95% CI = 0.97-1.59), which was stronger when we evaluated complete loss of E-cadherin (i.e. H-score = 0), OR = 1.57, 95% CI = 1.06-2.33. Breast cancer specific mortality was unrelated to E-cadherin expression in multivariable models. E-cadherin low expression is associated with lobular histology, tumor characteristics and menopausal hormone use, with no evidence of an association with breast cancer specific survival. These data support loss of E-cadherin expression as an important marker of tumor subtypes.
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Affiliation(s)
- Hisani N Horne
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Division of Molecular Genetics & Pathology, US Food and Drug Administration, Silver Spring, MD, USA
| | - Hannah Oh
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Health Policy and Management, College of Health Science, Korea University, Seoul, Korea
| | - Mark E Sherman
- Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - Maya Palakal
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stephen M Hewitt
- Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek hospital, Amsterdam, The Netherlands
| | - Roger L Milne
- Cancer Epidemiology & Intelligence Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global health, The University of Melbourne, Melbourne, Victoria, Australia
| | - David Hardisson
- Department of Pathology, Molecular Pathology and Therapeutic Targets Group, Hospital Universitario La Paz IdiPAZ, and Facultad de Medicina, Universidad Autonoma de Madrid, Madrid, Spain
| | - Javier Benitez
- Human Cancer Genetics Program, Spanish National Cancer Research Centre, Madrid, Spain
- Centro de Investigación en Red de Enfermedades Raras (CIBERER), Valencia, Spain
| | - Carl Blomqvist
- Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Research Group Genetic Cancer Epidemiology, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Renata Cora
- Independent contractor, CT(ASCP), MB (ASCP), National Cancer Institute, Bethesda, MD, USA
| | - Fergus J Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Katarina Cuk
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Devilee
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Diana M Eccles
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Ursula Eilber
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jaana M Hartikainen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Päivi Heikkilä
- Department of Pathology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | | | - Maartje J Hooning
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Michael Jones
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Arto Mannermaa
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - John W M Martens
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Taru A Muranen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Heli Nevanlinna
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Janet E Olson
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nick Orr
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Jose I A Perez
- Servicio de Cirugía General y Especialidades, Hospital Monte Naranco, Oviedo, Spain
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | | | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Minouk J Schoemaker
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Caroline Seynaeve
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Reijo Sironen
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, Kuopio, Finland
- Imaging Center, Department of Clinical Pathology, Kuopio University Hospital, Kuopio, Finland
| | - Vincent T H B M Smit
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anthony J Swerdlow
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, The Institute of Cancer Research, London, UK
| | - Maria Tengström
- Translational Cancer Research Area, University of Eastern Finland, Kuopio, Finland
- Cancer Center, Kuopio University Hospital, Kuopio, Finland
- Institute of Clinical Medicine, Oncology, University of Eastern Finland, Kuopio, Finland
| | - Abigail S Thomas
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - A Mieke Timmermans
- Department of Medical Oncology, Family Cancer Clinic, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Melissa A Troester
- Department of Pathology and Laboratory Medicin, Gillings School of Global Public Health, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Christi J van Asperen
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Flora F Van Leeuwen
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Laura J Van't Veer
- Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Jonine D Figueroa
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh Medical School, Edinburgh, UK.
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Abstract
Neoadjuvant endocrine therapy (NET) can be effective at downstaging patients with estrogen receptor-positive tumors and identifying those tumors that are endocrine sensitive and resistant. The optimal prognostic markers for stratification are under investigation. Use of NET will allow the identification of patients with estrogen receptor-positive tumors who might benefit from additional treatment and allow better understanding of endocrine resistance.
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Affiliation(s)
- Julie Grossman
- Department of Medicine, Washington University, 660 South Euclid Avenue, St Louis, MO 63110, USA
| | - Cynthia Ma
- Department of Medicine, Washington University, 660 South Euclid Avenue, St Louis, MO 63110, USA
| | - Rebecca Aft
- Department of Surgery, Washington University, 660 South Euclid Avenue, St Louis, MO 63110, USA.
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14
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Matikas A, Foukakis T, Michalakis I, Georgoulias V. Implementing neoadjuvant endocrine strategies in ER-positive, HER2-negative breast cancer. Expert Rev Anticancer Ther 2017; 17:319-326. [PMID: 28128984 DOI: 10.1080/14737140.2017.1288105] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Although neoadjuvant chemotherapy has been widely adopted as it increases breast conservation rates, permits the in vivo testing of the activity of chemotherapeutics and offers the opportunity to conduct translational research based on longitudinal assessments of tumor tissue, neoadjuvant endocrine therapy has been met with skepticism owing to slow regression rates and a low chance for pathologic remission. Areas covered: Herein, the results of clinical trials comparing different endocrine agents as neoadjuvant treatment, endocrine therapy with chemotherapy, treatment duration, novel combinations and putative biomarkers are reviewed, with the aim to better understand the current and future role of this modality in clinical practice. Expert commentary: Available evidence clearly indicates that, in properly selected patients, short-term outcomes do not differ compared to chemotherapy. In addition, the realization that its effects at the cellular level occur shortly after its initiation and have important prognostic implications, could serve as a tool for the early identification of non-responders. Ongoing trials which integrate novel agents in addition to endocrine therapies will help guide treatment decisions and may establish neoadjuvant endocrine therapy as a standard of care for well-defined patient subgroups.
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Affiliation(s)
- Alexios Matikas
- a Department of Oncology-Pathology , Karolinska Institutet and University Hospital , Stockholm , Sweden.,d Hellenic Oncology Research Group (HORG) , Athens , Greece
| | - Theodoros Foukakis
- a Department of Oncology-Pathology , Karolinska Institutet and University Hospital , Stockholm , Sweden
| | - Ilias Michalakis
- b Department of Surgery , General Hospital of Serres , Serres , Greece
| | - Vassilis Georgoulias
- c Laboratory of Translational Oncology , University of Crete, School of Medicine , Heraklion , Greece.,d Hellenic Oncology Research Group (HORG) , Athens , Greece
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15
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Davidson M, Cunningham D. Molecular Stratification of Colorectal Cancer: Moving from the Laboratory to Clinical Practice. CURRENT COLORECTAL CANCER REPORTS 2017. [DOI: 10.1007/s11888-017-0347-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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16
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Selli C, Dixon JM, Sims AH. Accurate prediction of response to endocrine therapy in breast cancer patients: current and future biomarkers. Breast Cancer Res 2016; 18:118. [PMID: 27903276 PMCID: PMC5131493 DOI: 10.1186/s13058-016-0779-0] [Citation(s) in RCA: 64] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Approximately 70% of patients have breast cancers that are oestrogen receptor alpha positive (ER+) and are therefore candidates for endocrine treatment. Many of these patients relapse in the years during or following completion of adjuvant endocrine therapy. Thus, many ER+ cancers have primary resistance or develop resistance to endocrine therapy during treatment. Recent improvements in our understanding of how tumours evolve during treatment with endocrine agents have identified both changes in gene expression and mutational profiles, in the primary cancer as well as in circulating tumour cells. Analysing these changes has the potential to improve the prediction of which specific patients will respond to endocrine treatment. Serially profiled biopsies during treatment in the neoadjuvant setting offer promise for accurate and early prediction of response to both current and novel drugs and allow investigation of mechanisms of resistance. In addition, recent advances in monitoring tumour evolution through non-invasive (liquid) sampling of circulating tumour cells and cell-free tumour DNA may provide a method to detect resistant clones and allow implementation of personalized treatments for metastatic breast cancer patients. This review summarises current and future biomarkers and signatures for predicting response to endocrine treatment, and discusses the potential for using approved drugs and novel agents to improve outcomes. Increased prediction accuracy is likely to require sequential sampling, utilising preoperative or neoadjuvant treatment and/or liquid biopsies and an improved understanding of both the dynamics and heterogeneity of breast cancer.
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Affiliation(s)
- Cigdem Selli
- Applied Bioinformatics of Cancer, Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, Edinburgh, EH4 2XR, UK.,Department of Pharmacology, Faculty of Pharmacy, Ege University, Izmir, 35050, Turkey
| | - J Michael Dixon
- Edinburgh Breast Unit, Western General Hospital, Edinburgh, EH4 2XR, UK
| | - Andrew H Sims
- Applied Bioinformatics of Cancer, Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, Edinburgh, EH4 2XR, UK.
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17
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Activation of PI3K/Akt/mTOR signaling in the tumor stroma drives endocrine therapy-dependent breast tumor regression. Oncotarget 2016; 6:22081-97. [PMID: 26098779 PMCID: PMC4673148 DOI: 10.18632/oncotarget.4203] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 05/27/2015] [Indexed: 12/21/2022] Open
Abstract
Improved efficacy of neoadjuvant endocrine-targeting therapies in luminal breast carcinomas could be achieved with optimal use of pathway targeting agents. In a mouse model of ductal breast carcinoma we identify a tumor regressive stromal reaction that is induced by neoadjuvant endocrine therapy. This reparative reaction is characterized by tumor neovascularization accompanied by infiltration of immune cells and carcinoma-associated fibroblasts that stain for phosphorylated ribosomal protein S6 (pS6), downstream the PI3K/Akt/mTOR pathway. While tumor variants with higher PI3K/Akt/mTOR activity respond well to a combination of endocrine and PI3K/Akt/mTOR inhibitors, tumor variants with lower PI3K/Akt/mTOR activity respond more poorly to the combination therapy than to the endocrine therapy alone, associated with inhibition of stromal pS6 and the reparative reaction. In human breast cancer xenografts we confirm that such differential sensitivity to therapy is primarily determined by the level of PI3K/Akt/mTOR in tumor cells. We further show that the clinical response of breast cancer patients undergoing neoadjuvant endocrine therapy is associated with the reparative stromal reaction. We conclude that tumor level and localization of pS6 are associated with therapeutic response in breast cancer and represent biomarkers to distinguish which tumors will benefit from the incorporation of PI3K/Akt/mTOR inhibitors with neoadjuvant endocrine therapy.
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18
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Sikora MJ, Jacobsen BM, Levine K, Chen J, Davidson NE, Lee AV, Alexander CM, Oesterreich S. WNT4 mediates estrogen receptor signaling and endocrine resistance in invasive lobular carcinoma cell lines. Breast Cancer Res 2016; 18:92. [PMID: 27650553 PMCID: PMC5028957 DOI: 10.1186/s13058-016-0748-7] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 08/24/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Invasive lobular carcinoma (ILC) of the breast typically presents with clinical biomarkers consistent with a favorable response to endocrine therapies, and over 90 % of ILC cases express the estrogen receptor (ER). However, a subset of ILC cases may be resistant to endocrine therapies, suggesting that ER biology is unique in ILC. Using ILC cell lines, we previously demonstrated that ER regulates a distinct gene expression program in ILC cells, and we hypothesized that these ER-driven pathways modulate the endocrine response in ILC. One potential novel pathway is via the Wnt ligand WNT4, a critical signaling molecule in mammary gland development regulated by the progesterone receptor. METHODS The ILC cell lines MDA-MB-134-VI, SUM44PE, and BCK4 were used to assess WNT4 gene expression and regulation, as well as the role of WNT4 in estrogen-regulated proliferation. To assess these mechanisms in the context of endocrine resistance, we developed novel ILC endocrine-resistant long-term estrogen-deprived (ILC-LTED) models. ILC and ILC-LTED cell lines were used to identify upstream regulators and downstream signaling effectors of WNT4 signaling. RESULTS ILC cells co-opted WNT4 signaling by placing it under direct ER control. We observed that ER regulation of WNT4 correlated with use of an ER binding site at the WNT4 locus, specifically in ILC cells. Further, WNT4 was required for endocrine response in ILC cells, as WNT4 knockdown blocked estrogen-induced proliferation. ILC-LTED cells remained dependent on WNT4 for proliferation, by either maintaining ER function and WNT4 regulation or uncoupling WNT4 from ER and upregulating WNT4 expression. In the latter case, WNT4 expression was driven by activated nuclear factor kappa-B signaling in ILC-LTED cells. In ILC and ILC-LTED cells, WNT4 led to suppression of CDKN1A/p21, which is critical for ILC cell proliferation. CDKN1A knockdown partially reversed the effects of WNT4 knockdown. CONCLUSIONS WNT4 drives a novel signaling pathway in ILC cells, with a critical role in estrogen-induced growth that may also mediate endocrine resistance. WNT4 signaling may represent a novel target to modulate endocrine response specifically for patients with ILC.
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Affiliation(s)
- Matthew J Sikora
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA. .,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA. .,Present address: Department of Pathology, University of Colorado - Anschutz Medical Campus, Mail Stop 8104, Research Complex 1 South, Room 5117, 12801 East 17th Avenue, Aurora, CO, 80045, USA.
| | - Britta M Jacobsen
- Department of Pathology, University of Colorado - Anschutz Medical Campus, Aurora, CO, USA
| | - Kevin Levine
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Pathology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Jian Chen
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nancy E Davidson
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Adrian V Lee
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Caroline M Alexander
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI, USA
| | - Steffi Oesterreich
- Women's Cancer Research Center, University of Pittsburgh, Pittsburgh, PA, USA.,Department of Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA
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19
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Pearce DA, Arthur LM, Turnbull AK, Renshaw L, Sabine VS, Thomas JS, Bartlett JMS, Dixon JM, Sims AH. Tumour sampling method can significantly influence gene expression profiles derived from neoadjuvant window studies. Sci Rep 2016; 6:29434. [PMID: 27384960 PMCID: PMC4935948 DOI: 10.1038/srep29434] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 06/17/2016] [Indexed: 01/09/2023] Open
Abstract
Patient-matched transcriptomic studies using tumour samples before and after treatment allow inter-patient heterogeneity to be controlled, but tend not to include an untreated comparison. Here, Illumina BeadArray technology was used to measure dynamic changes in gene expression from thirty-seven paired diagnostic core and surgically excised breast cancer biopsies obtained from women receiving no treatment prior to surgery, to determine the impact of sampling method and tumour heterogeneity. Despite a lack of treatment and perhaps surprisingly, consistent changes in gene expression were identified during the diagnosis-surgery interval (48 up, 2 down; Siggenes FDR 0.05) in a manner independent of both subtype and sampling-interval length. Instead, tumour sampling method was seen to directly impact gene expression, with similar effects additionally identified in six published breast cancer datasets. In contrast with previous findings, our data does not support the concept of a significant wounding or immune response following biopsy in the absence of treatment and instead implicates a hypoxic response following the surgical biopsy. Whilst sampling-related gene expression changes are evident in treated samples, they are secondary to those associated with response to treatment. Nonetheless, sampling method remains a potential confounding factor for neoadjuvant study design.
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Affiliation(s)
- Dominic A Pearce
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Laura M Arthur
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Arran K Turnbull
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Lorna Renshaw
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Vicky S Sabine
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Jeremy S Thomas
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - John M S Bartlett
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - J Michael Dixon
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew H Sims
- Edinburgh Cancer Research Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
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20
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Christgen M, Steinemann D, Kühnle E, Länger F, Gluz O, Harbeck N, Kreipe H. Lobular breast cancer: Clinical, molecular and morphological characteristics. Pathol Res Pract 2016; 212:583-97. [DOI: 10.1016/j.prp.2016.05.002] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 04/11/2016] [Accepted: 05/04/2016] [Indexed: 01/20/2023]
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21
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Sledge GW, Chagpar A, Perou C. Collective Wisdom: Lobular Carcinoma of the Breast. Am Soc Clin Oncol Educ Book 2016; 35:18-21. [PMID: 27249682 DOI: 10.1200/edbk_100002] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Affiliation(s)
- George W Sledge
- From the Division of Oncology, Stanford University School of Medicine, Stanford, CA; Yale University, New Haven, CT; The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Anees Chagpar
- From the Division of Oncology, Stanford University School of Medicine, Stanford, CA; Yale University, New Haven, CT; The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Charles Perou
- From the Division of Oncology, Stanford University School of Medicine, Stanford, CA; Yale University, New Haven, CT; The University of North Carolina at Chapel Hill, Chapel Hill, NC
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22
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van Dam PA, van Dam VCN, Altintas S, Papadimitriou K, Rolfo C, Trinh XB. Neoadjuvant endocrine treatment in early breast cancer: An overlooked alternative? Eur J Surg Oncol 2015; 42:333-42. [PMID: 26776766 DOI: 10.1016/j.ejso.2015.10.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 10/16/2015] [Indexed: 12/21/2022] Open
Abstract
During the last decade neoadjuvant endocrine therapy (NET) has moved from being reserved for elderly and frail non-chemotherapy candidates to a primary systemic modality in selected patients with hormone sensitive breast cancer. Neoadjuvant hormonal treatment in patients with hormone receptor positive, HER-2 negative early breast cancer is proven to be an effective and safe option; it is associated with a higher rate of breast conserving surgery (BCS), may reduce the need for adjuvant chemotherapy and enables a delay of surgery for medical or practical reasons. Clinical responses range from 13% to 100% with at least 3 months of NET. Methods of assessing response should include MRI of the breast, particularly in lobular tumours. In studies comparing tamoxifen with aromatase inhibitors (AI), AI proved to be superior in terms of tumour response and rates of BCS. Change in Ki67 is accepted as a validated endpoint for comparing endocrine neoadjuvant agents. Levels of Ki67 during treatment are more closely related to long-term prognosis than pretreatment Ki67. Neoadjuvant endocrine therapy provides a unique opportunity for studies of endocrine responsiveness and the development of new experimental drugs combined with systemic hormonal treatment.
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Affiliation(s)
- P A van Dam
- Breast Unit of the Multidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospital, Belgium.
| | - V C N van Dam
- Centre of Oncologic Research (CORE), Antwerp University, Edegem, Belgium
| | - S Altintas
- Breast Unit of the Multidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospital, Belgium
| | - K Papadimitriou
- Breast Unit of the Multidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospital, Belgium
| | - C Rolfo
- Breast Unit of the Multidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospital, Belgium; Fase 1 Unit for Experimental Oncology, Antwerp University Hospital, Belgium
| | - X B Trinh
- Breast Unit of the Multidisciplinary Oncologic Centre Antwerp (MOCA), Antwerp University Hospital, Belgium
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23
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Turnbull AK, Arthur LM, Renshaw L, Larionov AA, Kay C, Dunbier AK, Thomas JS, Dowsett M, Sims AH, Dixon JM. Accurate Prediction and Validation of Response to Endocrine Therapy in Breast Cancer. J Clin Oncol 2015; 33:2270-8. [PMID: 26033813 DOI: 10.1200/jco.2014.57.8963] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Aromatase inhibitors (AIs) have an established role in the treatment of breast cancer. Response rates are only 50% to 70% in the neoadjuvant setting and lower in advanced disease. Accurate biomarkers are urgently needed to predict response in these settings and to determine which individuals will benefit from adjuvant AI therapy. PATIENTS AND METHODS Pretreatment and on-treatment (after 2 weeks and 3 months) biopsies were obtained from 89 postmenopausal women who had estrogen receptor-alpha positive breast cancer and were receiving neoadjuvant letrozole for transcript profiling. Dynamic clinical response was assessed with use of three-dimensional ultrasound measurements. RESULTS The molecular response to letrozole was characterized and a four-gene classifier of clinical response was established (accuracy of 96%) on the basis of the level of two genes before treatment (one gene [IL6ST] was associated with immune signaling, and the other [NGFRAP1] was associated with apoptosis) and the level of two proliferation genes (ASPM, MCM4) after 2 weeks of therapy. The four-gene signature was found to be 91% accurate in a blinded, completely independent validation data set of patients treated with anastrozole. Matched 2-week on-treatment biopsies were associated with improved predictive power as compared with pretreatment biopsies alone. This signature also significantly predicted recurrence-free survival (P = .029) and breast cancer -specific survival (P = .009). We demonstrate that the test can also be performed with use of quantitative polymerase chain reaction or immunohistochemistry. CONCLUSION A four-gene predictive model of clinical response to AIs by 2 weeks has been generated and validated. Deregulated immune and apoptotic responses before treatment and cell proliferation that is not reduced 2 weeks after initiation of treatment are functional characteristics of breast tumors that do not respond to AIs.
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Affiliation(s)
- Arran K Turnbull
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Laura M Arthur
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Lorna Renshaw
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Alexey A Larionov
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Charlene Kay
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Anita K Dunbier
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Jeremy S Thomas
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Mitch Dowsett
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
| | - Andrew H Sims
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand.
| | - J Michael Dixon
- Arran K. Turnbull, Laura M. Arthur, Lorna Renshaw, Alexey A. Larionov, Charlene Kay, Jeremy S. Thomas, Andrew H. Sims, J. Michael Dixon, University of Edinburgh Cancer Research UK Centre, Edinburgh; Anita K. Dunbier, Mitch Dowsett, Institute of Cancer Research, London, United Kingdom; and Anita K. Dunbier, University of Otago, Dunedin, New Zealand
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24
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Christgen M, Derksen PWB. Lobular breast cancer: molecular basis, mouse and cellular models. Breast Cancer Res 2015; 17:16. [PMID: 25757734 PMCID: PMC4320436 DOI: 10.1186/s13058-015-0517-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Accepted: 01/08/2015] [Indexed: 12/22/2022] Open
Abstract
Infiltrating lobular breast cancer (ILC) is the most common special breast cancer subtype. With mutational or epigenetic inactivation of the cell adhesion molecule E-cadherin (CDH1) being confined almost exclusively to ILC, this tumor entity stands out from all other types of breast cancers. The molecular basis of ILC is linked to loss of E-cadherin, as evidenced by human CDH1 germline mutations and conditional knockout mouse models. A better understanding of ILC beyond the level of descriptive studies depends on physiologically relevant and functional tools. This review provides a detailed overview on ILC models, including well-characterized cell lines, xenograft tumors and genetically engineered mouse models. We consider advantages and limitations of these models and evaluate their representativeness for human ILC. The still incompletely defined mechanisms by which loss of E-cadherin drives malignant transformation are discussed based on recent findings in these models. Moreover, candidate genes and signaling pathways potentially involved in ILC development and progression as well as anticancer drug and endocrine resistance are highlighted.
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Affiliation(s)
- Matthias Christgen
- Institute of Pathology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625, Hannover, Germany.
| | - Patrick W B Derksen
- Department of Pathology, Utrecht University Medical Center, Heidelberglaan 100, 3584, Utrecht, The Netherlands.
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25
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McCart Reed AE, Kutasovic JR, Lakhani SR, Simpson PT. Invasive lobular carcinoma of the breast: morphology, biomarkers and 'omics. Breast Cancer Res 2015; 17:12. [PMID: 25849106 PMCID: PMC4310190 DOI: 10.1186/s13058-015-0519-x] [Citation(s) in RCA: 243] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Invasive lobular carcinoma of the breast is the most common 'special' morphological subtype of breast cancer, comprising up to 15% of all cases. Tumours are generally of a good prognostic phenotype, being low histological grade and low mitotic index, hormone receptor positive and HER2, p53 and basal marker negative, and with a generally good response to endocrine therapy. Despite this, clinicians face countless challenges in the diagnosis and long-term management of patients, as they encounter a tumour that can be difficult to detect through screening, elicits a very invasive nature, a propensity for widespread metastatic colonisation and, consequently, in some studies a worse long-term poor outcome compared with invasive carcinoma of no special type. Here we review the morphological and molecular features that underpin the disparate biological and clinical characteristics of this fascinating tumour type.
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