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Lu Q, Wang N, Jiang K, Zhou H, Zhang P, Zhang J, Wang S, Sun P, Xu F. Comprehensive genomic profiling to identify actionable alterations for breast cancer brain metastases in the Chinese population. ESMO Open 2024; 9:102389. [PMID: 38460250 PMCID: PMC10940923 DOI: 10.1016/j.esmoop.2024.102389] [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: 11/06/2023] [Revised: 12/24/2023] [Accepted: 01/27/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Breast cancer brain metastasis (BCBM) is a crucial issue in the treatment of breast cancer and is associated with poor prognosis. Therefore, novel therapeutic targets are urgently needed in clinical practice. In this study, we aimed to identify potential actionable targets in brain metastases (BMs) utilising the FoundationOne® CDx (F1CDx). PATIENTS AND METHODS Formalin-fixed paraffin-embedded archived specimens including 16 primary breast tumours (PTs), 49 BCBMs and 7 extracranial metastases (ECMs) from 54 patients who underwent surgery for BCBM were tested using F1CDx. Tumour-infiltrated lymphocytes (TILs) of BMs were also tested using haematoxylin-eosin staining. RESULTS The median tumour mutational burden (TMB) and TILs in BMs were 5.0 (range 0-29) mut/Mb and 1.0% (range 0%-5.0%), respectively. High TMB (≥10 mut/Mb) was detected in four cases (8%). Genomic alterations (GAs) were detected in all samples. The top-ranked somatic mutations in BMs were TP53 (82%), PIK3CA (35%), MLL2 (22%), BRCA2 (14%) and ATM (14%) and the most prevalent copy number alterations were ERBB2 (64%), RAD21 (36%), CCND1 (32%), FGF19 (30%) and FGF3 (30%). The most prevalent GAs were relatively consistent between paired PTs and BMs. Actionable GAs were detected in 94% of all BMs. Consistent rate in actionable GAs was 38% (6/16) between paired PTs/ECMs and BMs. Compared to matched PTs/ECMs, additional actionable GAs (BRAF, FGFR1, PTEN, KIT and CCND1) were discovered in 31% (5/16) of the BMs. CONCLUSIONS TMB and TILs were relatively low in BCBMs. Comparable consistency in actionable GAs was identified between BCBMs and matched PTs/ECMs. It was, therefore, logical to carry out genomic testing for BCBMs to identify potential new therapeutic targets when BCBM specimens were available, as ∼31% of samples carried additional actionable GAs.
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Affiliation(s)
- Q Lu
- Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - N Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - K Jiang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - H Zhou
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - P Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - J Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - S Wang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - P Sun
- Department of Pathology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
| | - F Xu
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China.
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Ivanova M, Porta FM, D'Ercole M, Pescia C, Sajjadi E, Cursano G, De Camilli E, Pala O, Mazzarol G, Venetis K, Guerini-Rocco E, Curigliano G, Viale G, Fusco N. Standardized pathology report for HER2 testing in compliance with 2023 ASCO/CAP updates and 2023 ESMO consensus statements on HER2-low breast cancer. Virchows Arch 2024; 484:3-14. [PMID: 37770765 PMCID: PMC10791807 DOI: 10.1007/s00428-023-03656-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/03/2023] [Accepted: 09/13/2023] [Indexed: 09/30/2023]
Abstract
Since the release of the DESTINY-Breast04 (DB-04) trial findings in June 2022, the field of pathology has seen a renaissance of HER2 as a predictive biomarker in breast cancer. The trial focused on patients with metastatic breast cancer who were classified as "HER2-low," i.e., those with immunohistochemistry (IHC) HER2 1 + or 2 + and negative in situ hybridization (ISH) results. The study revealed that treating these patients with trastuzumab deruxtecan (T-DXd) instead of the oncologist's chosen chemotherapy led to outstanding improvements in survival. This has challenged the existing binary HER2 pathological classification system, which categorized tumors as either positive (overexpression/amplification) or negative, as per the ASCO/CAP 2018 guideline reaffirmed by ASCO/CAP 2023 guideline update. Given that DB-04 excluded patients with HER2 IHC score 0 status, the results of the ongoing DB-06 trial may shed further light on the potential benefits of T-DXd therapy for these patients. Roughly half of all breast cancers are estimated to belong to the HER2-low category, which does not represent a distinct or specific subtype of cancer. Instead, it encompasses a diverse group of tumors that exhibit clinical, morphological, immunohistochemical, and molecular variations. However, HER2-low offers a distinctive biomarker status that identifies a specific therapeutic regimen (i.e., T-DXd) linked to a favorable prognosis in breast cancer. This unique association emphasizes the importance of accurately identifying these tumors. Differentiating between a HER2 IHC score 0 and score 1 + has not been clinically significant until now. To ensure accurate classification and avoid misdiagnosis, it is necessary to adopt standardized procedures, guidelines, and specialized training for pathologists in interpreting HER2 expression in the lower spectrum. Additionally, the utilization of artificial intelligence holds promise in supporting this endeavor. Here, we address the current state of the art and unresolved issues in assessing HER2-low status, with a particular emphasis on the score 0. We explore the dilemma surrounding the exclusion of HER2-zero patients from potentially beneficial therapy based on traditional HER2 testing. Additionally, we examine the clinical context, considering that DB-04 primarily involved heavily pretreated late-stage metastatic breast cancers. We also delve into emerging evidence suggesting that extrapolating HER2-low status from the original diagnosis may lead to misleading results. Finally, we provide recommendations for conducting high-quality testing and propose a standardized pathology report in compliance with 2023 ASCO/CAP updates and 2023 ESMO consensus statements on HER2-low breast cancer.
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Affiliation(s)
- Mariia Ivanova
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Francesca Maria Porta
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Marianna D'Ercole
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Carlo Pescia
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Elham Sajjadi
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy
| | - Giulia Cursano
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Elisa De Camilli
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Oriana Pala
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Giovanni Mazzarol
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Konstantinos Venetis
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Elena Guerini-Rocco
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy
- Division of New Drugs and Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Giuseppe Viale
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Nicola Fusco
- Division of Pathology, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
- Department of Oncology and Hemato-Oncology, University of Milan, 20122, Milan, Italy.
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3
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Skakodub A, Walch H, Tringale KR, Eichholz J, Imber BS, Vasudevan HN, Li BT, Moss NS, Hei Yu KK, Mueller BA, Powell S, Razavi P, Yu HA, Reis-Filho JS, Gomez D, Schultz N, Pike LRG. Genomic analysis and clinical correlations of non-small cell lung cancer brain metastasis. Nat Commun 2023; 14:4980. [PMID: 37591896 PMCID: PMC10435547 DOI: 10.1038/s41467-023-40793-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 08/10/2023] [Indexed: 08/19/2023] Open
Abstract
Up to 50% of patients with non-small cell lung cancer (NSCLC) develop brain metastasis (BM), yet the study of BM genomics has been limited by tissue access, incomplete clinical data, and a lack of comparison with paired extracranial specimens. Here we report a cohort of 233 patients with resected and sequenced (MSK-IMPACT) NSCLC BM and comprehensive clinical data. With matched samples (47 primary tumor, 42 extracranial metastatic), we show CDKN2A/B deletions and cell cycle pathway alterations to be enriched in the BM samples. Meaningful clinico-genomic correlations are noted, namely EGFR alterations in leptomeningeal disease (LMD) and MYC amplifications in multifocal regional brain progression. Patients who developed early LMD frequently have had uncommon, multiple, and persistently detectable EGFR driver mutations. The distinct mutational patterns identified in BM specimens compared to other tissue sites suggest specific biologic underpinnings of intracranial progression.
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Affiliation(s)
- Anna Skakodub
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Henry Walch
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Kathryn R Tringale
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Jordan Eichholz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Brandon S Imber
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Harish N Vasudevan
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94118, USA
- Department of Neurological Surgery, University of California, San Francisco, CA, 94118, USA
| | - Bob T Li
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Nelson S Moss
- Department of Neurological Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Kenny Kwok Hei Yu
- Department of Neurological Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Boris A Mueller
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Simon Powell
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Pedram Razavi
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Helena A Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Jorge S Reis-Filho
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Gomez
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikolaus Schultz
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Luke R G Pike
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Biomarker Development Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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4
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Tomasik B, Bieńkowski M, Górska Z, Gutowska K, Kumięga P, Jassem J, Duchnowska R. Molecular aspects of brain metastases in breast cancer. Cancer Treat Rev 2023; 114:102521. [PMID: 36736124 DOI: 10.1016/j.ctrv.2023.102521] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
Brain metastases (BM) are a common and devastating manifestation of breast cancer (BC). BM are particularly frequent in the HER2-positive and triple-negative breast cancer phenotypes and usually occur following the metastatic spread to extracranial sites. Several genes mediating BM and biomarkers predicting their risk in BC have been reported in the past decade. These findings have advanced the understanding of BM pathobiology and paved the way for developing new therapeutic strategies but they still warrant a thorough clinical validation. Hence, a better understanding of the mechanistic aspects of BM and delineating the interactions of tumor cells with the brain microenvironment are of utmost importance. This review discusses the molecular basis of the metastatic cascade: the epithelial-mesenchymal transition, cancer, and tumor microenvironment interaction and intravasation, priming of the metastatic niche in the brain, and survival in the new site. We also outline the postulated mechanisms of BC cells' brain tropism. Finally, we discuss advances in the field of biomarkers (both tissue-based and liquid-based) that predict BM from BC.
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Affiliation(s)
- Bartłomiej Tomasik
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdansk, Poland.
| | - Michał Bieńkowski
- Department of Pathology, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdańsk, Poland.
| | - Zuzanna Górska
- Department of Oncology, Military Institute of Medicine, 128 Szaserów St., 04-141 Warsaw, Poland.
| | - Klaudia Gutowska
- Department of Internal Diseases and Endocrinology, Medical University of Warsaw, 02-091 Warsaw, Poland; Doctoral School, Medical University of Warsaw, 02-091 Warsaw, Poland.
| | - Paulina Kumięga
- Faculty of Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdansk, Poland.
| | - Renata Duchnowska
- Department of Oncology, Military Institute of Medicine, 128 Szaserów St., 04-141 Warsaw, Poland.
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Wessels PH, Boelens MC, Monkhorst K, Sonke GS, van den Broek D, Brandsma D. A review on genetic alterations in CNS metastases related to breast cancer treatment. Is there a role for liquid biopsies in CSF? J Neurooncol 2023; 162:1-13. [PMID: 36820955 DOI: 10.1007/s11060-023-04261-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/07/2023] [Indexed: 02/24/2023]
Abstract
Acquired mutations or altered gene expression patterns in brain metastases (BM) and/or leptomeningeal metastases (LM) of breast cancer may play a role in therapy-resistance and offer new molecular targets and treatment options. Despite expanding knowledge of genetic alterations in breast cancer and their metastases, clinical applications for patients with central nervous system (CNS) metastases are currently limited. An emerging tool are DNA-techniques that may detect genetic alterations of the CNS metastases in the cerebrospinal fluid (CSF). In this review we discuss genetic studies in breast cancer and CNS metastases and the role of liquid biopsies in CSF.
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Affiliation(s)
- Peter H Wessels
- Department of Neuro-Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands. .,Department of Neurology, St. Antonius Hospital, Utrecht, Nieuwegein, The Netherlands.
| | - Mirjam C Boelens
- Department of Pathology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands
| | - Kim Monkhorst
- Department of Pathology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands
| | - Gabe S Sonke
- Department of Medical Oncology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands
| | - Daan van den Broek
- Department of Laboratory Medicine, Netherlands Cancer Institute-Antoni Van Leeuwenhoek, Amsterdam, The Netherlands
| | - Dieta Brandsma
- Department of Neuro-Oncology, Netherlands Cancer Institute, Antoni Van Leeuwenhoek, Amsterdam, The Netherlands
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6
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Ung TH, Meola A, Chang SD. Metastatic Lesions of the Brain and Spine. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1405:545-564. [PMID: 37452953 DOI: 10.1007/978-3-031-23705-8_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/18/2023]
Abstract
Brain and spinal metastases are common in cancer patients and are associated with significant morbidity and mortality. Continued advancement in the systemic care of cancer has increased the life expectancy of patients, and consequently, the incidence of brain and spine metastasis has increased. There has been an increase in the understanding of oncogenic mutations, and research has also demonstrated spatial and temporal mutations in patients that may drive overall treatment resistance and failure. Combinatory treatments with radiation, surgery, and newer systemic therapies have continued to increase the life expectancy of patients with brain and spine metastases. Given the overall complexity of brain and spine metastases, this chapter aims to give a comprehensive overview and cover important topics concerning brain and spine metastases. This will include the molecular, genetic, radiographic, surgical, and non-surgical treatments of brain and spinal metastases.
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Affiliation(s)
- Timothy H Ung
- Center for Academic Medicine, Department of Neurosurgery, MC: 5327, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
| | - Antonio Meola
- Center for Academic Medicine, Department of Neurosurgery, MC: 5327, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
| | - Steven D Chang
- Center for Academic Medicine, Department of Neurosurgery, MC: 5327, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA
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7
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Luo X, Xie H, Yang Y, Zhang C, Zhang Y, Li Y, Yang Q, Wang D, Luo Y, Mai Z, Xie C, Yin S. Radiomic Signatures for Predicting Receptor Status in Breast Cancer Brain Metastases. Front Oncol 2022; 12:878388. [PMID: 35734585 PMCID: PMC9207517 DOI: 10.3389/fonc.2022.878388] [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: 02/18/2022] [Accepted: 05/12/2022] [Indexed: 11/13/2022] Open
Abstract
Backgrounds A significant proportion of breast cancer patients showed receptor discordance between primary cancers and breast cancer brain metastases (BCBM), which significantly affected therapeutic decision-making. But it was not always feasible to obtain BCBM tissues. The aim of the present study was to analyze the receptor status of primary breast cancer and matched brain metastases and establish radiomic signatures to predict the receptor status of BCBM. Methods The receptor status of 80 matched primary breast cancers and resected brain metastases were retrospectively analyzed. Radiomic features were extracted using preoperative brain MRI (contrast-enhanced T1-weighted imaging, T2-weighted imaging, T2 fluid-attenuated inversion recovery, and combinations of these sequences) collected from 68 patients (45 and 23 for training and test sets, respectively) with BCBM excision. Using least absolute shrinkage selection operator and logistic regression model, the machine learning-based radiomic signatures were constructed to predict the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) status of BCBM. Results Discordance between the primary cancer and BCBM was found in 51.3% of patients, with 27.5%, 27.5%, and 5.0% discordance for ER, PR, and HER2, respectively. Loss of receptor expression was more common (33.8%) than gain (18.8%). The radiomic signatures built using combination sequences had the best performance in the training and test sets. The combination model yielded AUCs of 0.89, 0.88, and 0.87, classification sensitivities of 71.4%, 90%, and 87.5%, specificities of 81.2%, 76.9%, and 71.4%, and accuracies of 78.3%, 82.6%, and 82.6% for ER, PR, and HER2, respectively, in the test set. Conclusions Receptor conversion in BCBM was common, and radiomic signatures show potential for noninvasively predicting BCBM receptor status.
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Affiliation(s)
- Xiao Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Hui Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yadi Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Cheng Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yijun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yue Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Molecular Diagnostics, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Qiuxia Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Deling Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yingwei Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhijun Mai
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chuanmiao Xie
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Shaohan Yin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
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8
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Mekonnen N, Yang H, Shin YK. Homologous Recombination Deficiency in Ovarian, Breast, Colorectal, Pancreatic, Non-Small Cell Lung and Prostate Cancers, and the Mechanisms of Resistance to PARP Inhibitors. Front Oncol 2022; 12:880643. [PMID: 35785170 PMCID: PMC9247200 DOI: 10.3389/fonc.2022.880643] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/18/2022] [Indexed: 11/30/2022] Open
Abstract
Homologous recombination (HR) is a highly conserved DNA repair mechanism that protects cells from exogenous and endogenous DNA damage. Breast cancer 1 (BRCA1) and breast cancer 2 (BRCA2) play an important role in the HR repair pathway by interacting with other DNA repair proteins such as Fanconi anemia (FA) proteins, ATM, RAD51, PALB2, MRE11A, RAD50, and NBN. These pathways are frequently aberrant in cancer, leading to the accumulation of DNA damage and genomic instability known as homologous recombination deficiency (HRD). HRD can be caused by chromosomal and subchromosomal aberrations, as well as by epigenetic inactivation of tumor suppressor gene promoters. Deficiency in one or more HR genes increases the risk of many malignancies. Another conserved mechanism involved in the repair of DNA single-strand breaks (SSBs) is base excision repair, in which poly (ADP-ribose) polymerase (PARP) enzymes play an important role. PARP inhibitors (PARPIs) convert SSBs to more cytotoxic double-strand breaks, which are repaired in HR-proficient cells, but remain unrepaired in HRD. The blockade of both HR and base excision repair pathways is the basis of PARPI therapy. The use of PARPIs can be expanded to sporadic cancers displaying the “BRCAness” phenotype. Although PARPIs are effective in many cancers, their efficacy is limited by the development of resistance. In this review, we summarize the prevalence of HRD due to mutation, loss of heterozygosity, and promoter hypermethylation of 35 DNA repair genes in ovarian, breast, colorectal, pancreatic, non-small cell lung cancer, and prostate cancer. The underlying mechanisms and strategies to overcome PARPI resistance are also discussed.
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Affiliation(s)
- Negesse Mekonnen
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
- Department of Veterinary Science, School of Animal Science and Veterinary Medicine, Bahir Dar University, Bahir Dar, Ethiopia
| | - Hobin Yang
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
| | - Young Kee Shin
- Department of Pharmacy, Research Institute of Pharmaceutical Science, Seoul National University College of Pharmacy, Seoul, South Korea
- Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University Graduate School of Convergence Science and Technology, Seoul, South Korea
- LOGONE Bio Convergence Research Foundation, Center for Companion Diagnostics, Seoul, South Korea
- *Correspondence: Young Kee Shin,
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9
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Menendez JA, Lupu R. Fatty acid synthase: A druggable driver of breast cancer brain metastasis. Expert Opin Ther Targets 2022; 26:427-444. [PMID: 35545806 DOI: 10.1080/14728222.2022.2077189] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Brain metastasis (BrM) is a key contributor to morbidity and mortality in breast cancer patients, especially among high-risk epidermal growth factor receptor 2-positive (HER2+) and triple-negative/basal-like molecular subtypes. Optimal management of BrM is focused on characterizing a "BrM dependency map" to prioritize targetable therapeutic vulnerabilities. AREAS COVERED We review recent studies addressing the targeting of BrM in the lipid-deprived brain environment, which selects for brain-tropic breast cancer cells capable of cell-autonomously generating fatty acids by upregulating de novo lipogenesis via fatty acid synthase (FASN). Disruption of FASN activity impairs breast cancer growth in the brain, but not extracranially, and mapping of the molecular causes of organ-specific patterns of metastasis has uncovered an enrichment of lipid metabolism signatures in brain metastasizing cells. Targeting SREBP1-the master regulator of lipogenic gene transcription-curtails the ability of breast cancer cells to survive in the brain microenvironment. EXPERT OPINION Targeting FASN represents a new therapeutic opportunity for patients with breast cancer and BrM. Delivery of brain-permeable FASN inhibitors and identifying strategies to target metabolic plasticity that might compensate for impaired brain FASN activity are two potential roadblocks that may hinder FASN-centered strategies against BrM.
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Affiliation(s)
- Javier A Menendez
- Metabolism and Cancer Group, Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology, 17007 Girona, Spain.,Girona Biomedical Research Institute (IDIBGI), 17190 Girona, Spain
| | - Ruth Lupu
- Department of Laboratory Medicine and Pathology, Division of Experimental Pathology, Mayo Clinic, Rochester, MN 55905, USA.,Department of Biochemistry and Molecular Biology Laboratory, Mayo Clinic Minnesota, Rochester, MN 55905, USA.,Mayo Clinic Cancer Center, Rochester, MN 55905, USA
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10
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Sun S, Pithavala YK, Martini J, Chen J. Evaluation of Lorlatinib Cerebrospinal Fluid Concentrations in Relation to Target Concentrations for ALK Inhibition. J Clin Pharmacol 2022; 62:1170-1176. [PMID: 35373356 PMCID: PMC9542378 DOI: 10.1002/jcph.2056] [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: 12/14/2021] [Accepted: 03/30/2022] [Indexed: 12/02/2022]
Abstract
Lorlatinib is a third‐generation, brain‐penetrant anaplastic lymphoma kinase (ALK) and c‐ros oncogene 1 (ROS1) tyrosine kinase inhibitor (TKI) with robust intracranial activity in patients with ALK‐ or ROS1‐positive non‐small cell lung cancer (NSCLC). Data from the ongoing open‐label, single‐arm, multicenter, phase‐1/2 study of lorlatinib in patients with metastatic ALK‐ or ROS1‐positive NSCLC were used to further investigate the potential brain penetration of lorlatinib. Patients received escalating lorlatinib doses (10–200 mg once daily or 35–100 mg twice daily) or the approved dosing (100 mg daily). Plasma was collected from all patients, and cerebrospinal fluid (CSF) was collected at baseline and during the study from 5 patients with suspected or confirmed leptomeningeal carcinomatosis or carcinomatous meningitis. For those 5 patients, lorlatinib concentrations ranged from 2.64 to 125 ng/mL in the CSF and from 12.7 to 457 ng/mL in the plasma; free plasma concentrations ranged from 4.318 to 155.385 ng/mL. The CSF/free plasma ratio was 0.77 (R2 = 0.96 and P < .001). Using a post‐hoc population pharmacokinetic model, the average steady‐state unbound plasma concentration of lorlatinib was derived and the CSF concentration was estimated for all patients. Known minimum efficacy concentrations (Ceff) for wild‐type and mutated (L1196M and G1202R) ALK were used to derive central nervous system (CNS) Ceff. Estimated CNS concentrations exceeded the derived CNS Ceff values in all patients for wild‐type ALK and the ALK L1196M mutation, and in 35.8% of patients for the ALK G1202R mutation. Projected lorlatinib CNS concentrations were consistent with the high intracranial response rates reported in clinical trials and provide further evidence of the potent CNS penetration of lorlatinib.
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Affiliation(s)
- Steven Sun
- Skaggs School of Pharmacy and Pharmaceutical Sciences (SSPPS) University of California, San Diego (UCSD) La Jolla CA USA
- Clinical Pharmacology, Oncology Business Unit Pfizer Inc. La Jolla CA USA
| | - Yazdi K. Pithavala
- Clinical Pharmacology, Oncology Business Unit Pfizer Inc. La Jolla CA USA
| | | | - Joseph Chen
- Clinical Pharmacology, Oncology Business Unit Pfizer Inc. La Jolla CA USA
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11
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Venetis K, Crimini E, Sajjadi E, Corti C, Guerini-Rocco E, Viale G, Curigliano G, Criscitiello C, Fusco N. HER2 Low, Ultra-low, and Novel Complementary Biomarkers: Expanding the Spectrum of HER2 Positivity in Breast Cancer. Front Mol Biosci 2022; 9:834651. [PMID: 35372498 PMCID: PMC8965450 DOI: 10.3389/fmolb.2022.834651] [Citation(s) in RCA: 58] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 02/21/2022] [Indexed: 12/16/2022] Open
Abstract
HER2 status in breast cancer is assessed to select patients eligible for targeted therapy with anti-HER2 therapies. According to the American Society of Clinical Oncology (ASCO) and College of American Pathologists (CAP), the HER2 test positivity is defined by protein overexpression (score 3+) at immunohistochemistry (IHC) and/or gene amplification at in situ hybridization (ISH). The introduction of novel anti-HER2 compounds, however, is changing this paradigm because some breast cancers with lower levels of protein expression (i.e. score 1+/2+ with no gene amplification) benefited from HER2 antibody-drug conjugates (ADC). Recently, a potential for HER2 targeting in HER2 "ultra-low" (i.e. score 0 with incomplete and faint staining in ≤10% of tumor cells) and MutL-deficient estrogen receptor (estrogen receptor)-positive/HER2-negative breast cancers has been highlighted. All these novel findings are transforming the traditional dichotomy of HER2 status and have dramatically raised the expectations in this field. Still, a more aware HER2 status assessment coupled with the comprehensive characterization of the clinical and molecular features of these tumors is required. Here, we seek to provide an overview of the current state of HER2 targeting in breast cancers beyond the canonical HER2 positivity and to discuss the practical implications for pathologists and oncologists.
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Affiliation(s)
- Konstantinos Venetis
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Edoardo Crimini
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Elham Sajjadi
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Chiara Corti
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Elena Guerini-Rocco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giuseppe Viale
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Carmen Criscitiello
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development for Innovative Therapy, IEO, European Institute of Oncology, IRCCS, Milan, Italy
- *Correspondence: Nicola Fusco, ; Carmen Criscitiello,
| | - Nicola Fusco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- *Correspondence: Nicola Fusco, ; Carmen Criscitiello,
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12
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Salati M, Venetis K, Fassan M, Malapelle U, Pagni F, Sajjadi E, Fusco N, Ghidini M. ctDNA analysis in the personalized clinical management of gastroesophageal adenocarcinoma: turning hope into reality. Future Oncol 2021; 17:4607-4618. [PMID: 34406032 DOI: 10.2217/fon-2021-0228] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Gastroesophageal adenocarcinoma (GEA) is a global health issue with a high fatality-to-case ratio and a 5-year overall survival that has only slightly improved. High-throughput molecular profiling has uncovered a profound complexity and heterogeneity in GEA biology, which limits considerably the treatment advances. Liquid biopsy with circulating tumor (ct)DNA analysis could elucidate GEA molecular heterogeneity and provide diagnostic, prognostic and predictive information to guide clinical decision-making. However, only a handful of studies have shown positive results for the application of ctDNA analysis in GEA clinical management. As a result, no comprehensive information is available to date on this continuously evolving topic. Here, we discuss the current state of knowledge, along with promises and challenges related to ctDNA analysis in GEA.
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Affiliation(s)
- Massimiliano Salati
- Division of Oncology, Oncology and Hematology Department, University of Modena and Reggio Emilia, Modena, Italy.,Ph.D. Program Clinical and Experimental Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Konstantinos Venetis
- Department of Oncology and Hemato-Oncology, University of Milan, Milan 20122, Italy.,Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan 20141, Italy
| | - Matteo Fassan
- Department of Medicine (DIMED), Surgical Pathology and Cytopathology Unit, University of Padua, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, University Milan Bicocca, Milan 20126, Italy
| | - Elham Sajjadi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan 20122, Italy.,Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan 20141, Italy
| | - Nicola Fusco
- Department of Oncology and Hemato-Oncology, University of Milan, Milan 20122, Italy.,Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan 20141, Italy
| | - Michele Ghidini
- Division of Medical Oncology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan 20122, Italy
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13
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Bryan S, Witzel I, Borgmann K, Oliveira-Ferrer L. Molecular Mechanisms Associated with Brain Metastases in HER2-Positive and Triple Negative Breast Cancers. Cancers (Basel) 2021; 13:4137. [PMID: 34439289 PMCID: PMC8392331 DOI: 10.3390/cancers13164137] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/09/2021] [Accepted: 08/12/2021] [Indexed: 12/14/2022] Open
Abstract
Breast cancer (BC) is the most frequent cause of cancer-associated death for women worldwide, with deaths commonly resulting from metastatic spread to distant organs. Approximately 30% of metastatic BC patients develop brain metastases (BM), a currently incurable diagnosis. The influence of BC molecular subtype and gene expression on breast cancer brain metastasis (BCBM) development and patient prognosis is undeniable and is, therefore, an important focus point in the attempt to combat the disease. The HER2-positive and triple-negative molecular subtypes are associated with an increased risk of developing BCBM. Several genetic and molecular mechanisms linked to HER2-positive and triple-negative BC breast cancers appear to influence BCBM formation on several levels, including increased development of circulating tumor cells (CTCs), enhanced epithelial-mesenchymal transition (EMT), and migration of primary BC cells to the brain and/or through superior local invasiveness aided by cancer stem-like cells (CSCs). These specific BC characteristics, together with the ensuing developments at a clinical level, are presented in this review article, drawing a connection between research findings and related therapeutic strategies aimed at preventing BCBM formation and/or progression. Furthermore, we briefly address the critical limitations in our current understanding of this complex topic, highlighting potential focal points for future research.
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Affiliation(s)
- Sarah Bryan
- Department of Gynaecology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (S.B.); (I.W.)
| | - Isabell Witzel
- Department of Gynaecology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (S.B.); (I.W.)
| | - Kerstin Borgmann
- Center of Oncology, Laboratory of Radiobiology & Experimental Radiooncology, Department of Radiotherapy and Radiooncology, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany;
| | - Leticia Oliveira-Ferrer
- Department of Gynaecology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; (S.B.); (I.W.)
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14
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Breast cancer brain metastasis: insight into molecular mechanisms and therapeutic strategies. Br J Cancer 2021; 125:1056-1067. [PMID: 34226684 DOI: 10.1038/s41416-021-01424-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 04/14/2021] [Accepted: 04/21/2021] [Indexed: 11/09/2022] Open
Abstract
Breast cancer is one of the most prevalent malignancies in women worldwide. Early-stage breast cancer is considered a curable disease; however, once distant metastasis occurs, the 5-year overall survival rate of patients becomes significantly reduced. There are four distinct metastatic patterns in breast cancer: bone, lung, liver and brain. Among these, breast cancer brain metastasis (BCBM) is the leading cause of death; it is highly associated with impaired quality of life and poor prognosis due to the limited permeability of the blood-brain barrier and consequent lack of effective treatments. Although the sequence of events in BCBM is universally accepted, the underlying mechanisms have not yet been fully elucidated. In this review, we outline progress surrounding the molecular mechanisms involved in BCBM as well as experimental methods and research models to better understand the process. We further discuss the challenges in the management of brain metastases, as well as providing an overview of current therapies and highlighting innovative research towards developing novel efficacious targeted therapies.
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15
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De Mattos-Arruda L, Cortes J, Blanco-Heredia J, Tiezzi DG, Villacampa G, Gonçalves-Ribeiro S, Paré L, Souza CA, Ortega V, Sammut SJ, Cusco P, Fasani R, Chin SF, Perez-Garcia J, Dienstmann R, Nuciforo P, Villagrasa P, Rubio IT, Prat A, Caldas C. The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancers. NPJ Breast Cancer 2021; 7:73. [PMID: 34099718 PMCID: PMC8185105 DOI: 10.1038/s41523-021-00282-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 05/03/2021] [Indexed: 12/30/2022] Open
Abstract
The biology of breast cancer response to neoadjuvant therapy is underrepresented in the literature and provides a window-of-opportunity to explore the genomic and microenvironment modulation of tumours exposed to therapy. Here, we characterised the mutational, gene expression, pathway enrichment and tumour-infiltrating lymphocytes (TILs) dynamics across different timepoints of 35 HER2-negative primary breast cancer patients receiving neoadjuvant eribulin therapy (SOLTI-1007 NEOERIBULIN-NCT01669252). Whole-exome data (N = 88 samples) generated mutational profiles and candidate neoantigens and were analysed along with RNA-Nanostring 545-gene expression (N = 96 samples) and stromal TILs (N = 105 samples). Tumour mutation burden varied across patients at baseline but not across the sampling timepoints for each patient. Mutational signatures were not always conserved across tumours. There was a trend towards higher odds of response and less hazard to relapse when the percentage of subclonal mutations was low, suggesting that more homogenous tumours might have better responses to neoadjuvant therapy. Few driver mutations (5.1%) generated putative neoantigens. Mutation and neoantigen load were positively correlated (R2 = 0.94, p = <0.001); neoantigen load was weakly correlated with stromal TILs (R2 = 0.16, p = 0.02). An enrichment in pathways linked to immune infiltration and reduced programmed cell death expression were seen after 12 weeks of eribulin in good responders. VEGF was downregulated over time in the good responder group and FABP5, an inductor of epithelial mesenchymal transition (EMT), was upregulated in cases that recurred (p < 0.05). Mutational heterogeneity, subclonal architecture and the improvement of immune microenvironment along with remodelling of hypoxia and EMT may influence the response to neoadjuvant treatment.
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Affiliation(s)
- Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain.
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK.
| | - Javier Cortes
- Oncology Department International Breast Cancer Center (IBCC), Quiron Group, Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ, USA
- Breast Cancer Research program, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Universidad Europea de Madrid, Faculty of Biomedical and Health Sciences, Department of Medicine, Madrid, Spain
| | - Juan Blanco-Heredia
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Daniel G Tiezzi
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Breast Disease Division, Ribeirão Preto School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Guillermo Villacampa
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Laia Paré
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- SOLTI Breast Cancer Research Group, Barcelona, Spain
- Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Carla Anjos Souza
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Vanesa Ortega
- Breast Cancer Research program, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Stephen-John Sammut
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Pol Cusco
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Roberta Fasani
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Jose Perez-Garcia
- Oncology Department International Breast Cancer Center (IBCC), Quiron Group, Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ, USA
| | - Rodrigo Dienstmann
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Paolo Nuciforo
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Isabel T Rubio
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Aleix Prat
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- SOLTI Breast Cancer Research Group, Barcelona, Spain
- Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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16
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Molecular Profiles of Brain Metastases: A Focus on Heterogeneity. Cancers (Basel) 2021; 13:cancers13112645. [PMID: 34071176 PMCID: PMC8198739 DOI: 10.3390/cancers13112645] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 05/24/2021] [Accepted: 05/25/2021] [Indexed: 12/17/2022] Open
Abstract
Simple Summary Precision cancer medicine depends on the characterization of tumor samples, usually by a single-tumor biopsy, to administer an optimal therapeutic. However, primary tumors and their metastases are often heterogeneous. A metastatic lesion may harbor a completely different genetic makeup to that of its parent tumor, and a single tumor sampling may be ineffective in selecting the most efficient therapy. Brain metastases, due to their low availability and specific microenvironment, pose a particular challenge for precision medicine. In this review, we highlight the genetic landscape of brain metastases, with a particular focus on their heterogeneity. To illustrate this problem, we present phenotypic alterations in brain metastases originating from lung cancer, breast cancer, and melanoma. This article may help clinicians better understand alterations in brain metastases and the relevance of their heterogeneity. Abstract Brain metastasis is a common and devastating clinical entity. Intratumor heterogeneity in brain metastases poses a crucial challenge to precision medicine. However, advances in next-generation sequencing, new insight into the pathophysiology of driver mutations, and the creation of novel tumor models have allowed us to gain better insight into the genetic landscapes of brain metastases, their temporal evolution, and their response to various treatments. A plethora of genomic studies have identified the heterogeneous clonal landscape of tumors and, at the same time, introduced potential targets for precision medicine. As an example, we present phenotypic alterations in brain metastases originating from three malignancies with the highest brain metastasis frequency: lung cancer, breast cancer, and melanoma. We discuss the barriers to precision medicine, tumor heterogeneity, the significance of blood-based biomarkers in tracking clonal evolution, the phylogenetic relationship between primary and metastatic tumors, blood–brain barrier heterogeneity, and limitations to ongoing research.
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17
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Shah M, Takayasu T, Zorofchian Moghadamtousi S, Arevalo O, Chen M, Lan C, Duose D, Hu P, Zhu JJ, Roy-Chowdhuri S, Riascos RF, Chen H, Luthra R, Esquenazi Y, Ballester LY. Evaluation of the Oncomine Pan-Cancer Cell-Free Assay for Analyzing Circulating Tumor DNA in the Cerebrospinal Fluid in Patients with Central Nervous System Malignancies. J Mol Diagn 2021; 23:171-180. [PMID: 33531134 DOI: 10.1016/j.jmoldx.2020.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 10/09/2020] [Accepted: 10/22/2020] [Indexed: 02/06/2023] Open
Abstract
Available tools to evaluate patients with central nervous system (CNS) tumors such as magnetic resonance imaging (MRI), cerebrospinal fluid (CSF) cytology, and brain biopsies, have significant limitations. MRI and CSF cytology have poor specificity and sensitivity, respectively, and brain biopsies are invasive. Circulating tumor DNA in CSF (CSF-ctDNA) could be used as a biomarker in patients with CNS tumors, but studies in this area are limited. We evaluated four CSF-ctDNA extraction methods and analyzed mutations in CSF-ctDNA with the Oncomine Pan-Cancer cell-free assay. CSF-ctDNA was extracted from 38 patients with primary or metastatic CNS tumors and 10 patients without CNS malignancy. Commercial ctDNA controls were used for assay evaluation. CSF-ctDNA yields ranged from 3.65 to 3120 ng. Mutations were detected in 39.5% of samples. TP53 was the most commonly mutated gene and copy number alterations were detected in CCND1, MYC, and ERBB2/HER2. Twenty-five percent of CSF-cytology-negative samples showed mutations in CSF-ctDNA. There was good concordance between mutations in CSF-ctDNA and matching tumors. The QIAamp Circulating Nucleic Acid Kit was the optimal method for extraction of CSF-ctDNA and the Oncomine cell-free DNA assay is suitable for detection of mutations in CSF-ctDNA. Analysis of CSF-ctDNA is more sensitive than CSF-cytology and has the potential to improve the diagnosis and monitoring of patients with CNS tumors.
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Affiliation(s)
- Mauli Shah
- Graduate Program in Diagnostic Genetics, School of Health Professions, University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Takeshi Takayasu
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Soheil Zorofchian Moghadamtousi
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Octavio Arevalo
- Department of Radiology, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Melissa Chen
- Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chieh Lan
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dzifa Duose
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peter Hu
- Graduate Program in Diagnostic Genetics, School of Health Professions, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jay-Jiguang Zhu
- Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas
| | - Sinchita Roy-Chowdhuri
- Division of Pathology and Laboratory Medicine, Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Roy F Riascos
- Department of Radiology, McGovern Medical School, University of Texas Health Science Center, Houston, Texas
| | - Hui Chen
- Division of Pathology and Laboratory Medicine, Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rajyalakshmi Luthra
- Division of Pathology and Laboratory Medicine, Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas; Division of Pathology and Laboratory Medicine, Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yoshua Esquenazi
- Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas.
| | - Leomar Y Ballester
- Department of Pathology and Laboratory Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Department of Neurosurgery, McGovern Medical School, University of Texas Health Science Center, Houston, Texas; Memorial Hermann Hospital, Texas Medical Center, Houston, Texas.
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Abstract
Despite the decline in death rate from breast cancer and recent advances in targeted therapies and combinations for the treatment of metastatic disease, metastatic breast cancer remains the second leading cause of cancer-associated death in U.S. women. The invasion-metastasis cascade involves a number of steps and multitudes of proteins and signaling molecules. The pathways include invasion, intravasation, circulation, extravasation, infiltration into a distant site to form a metastatic niche, and micrometastasis formation in a new environment. Each of these processes is regulated by changes in gene expression. Noncoding RNAs including microRNAs (miRNAs) are involved in breast cancer tumorigenesis, progression, and metastasis by post-transcriptional regulation of target gene expression. miRNAs can stimulate oncogenesis (oncomiRs), inhibit tumor growth (tumor suppressors or miRsupps), and regulate gene targets in metastasis (metastamiRs). The goal of this review is to summarize some of the key miRNAs that regulate genes and pathways involved in metastatic breast cancer with an emphasis on estrogen receptor α (ERα+) breast cancer. We reviewed the identity, regulation, human breast tumor expression, and reported prognostic significance of miRNAs that have been documented to directly target key genes in pathways, including epithelial-to-mesenchymal transition (EMT) contributing to the metastatic cascade. We critically evaluated the evidence for metastamiRs and their targets and miRNA regulation of metastasis suppressor genes in breast cancer progression and metastasis. It is clear that our understanding of miRNA regulation of targets in metastasis is incomplete.
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Affiliation(s)
- Belinda J Petri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA
| | - Carolyn M Klinge
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, 40292, USA.
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19
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Morgan AJ, Giannoudis A, Palmieri C. The genomic landscape of breast cancer brain metastases: a systematic review. Lancet Oncol 2021; 22:e7-e17. [PMID: 33387511 DOI: 10.1016/s1470-2045(20)30556-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/07/2020] [Accepted: 09/14/2020] [Indexed: 12/17/2022]
Abstract
Breast cancer brain metastases are an increasing clinical problem. Studies have shown that brain metastases from breast cancer have a distinct genomic landscape to that of the primary tumour, including the presence of mutations that are absent in the primary breast tumour. In this Review, we aim to review and evaluate genomic sequencing data for breast cancer brain metastases by searching PubMed, Embase, and Scopus for relevant articles published in English between database inception and May 30, 2020. Extracted information includes data for mutations, receptor status (eg, immunohistochemistry and Prediction Analysis of Microarray 50 [PAM50]), and copy number alterations from published manuscripts and supplementary materials. Of the 431 articles returned by the database search, 13 (3%) breast cancer brain metastases sequencing studies, comprising 164 patients with sequenced brain metastases, met all our inclusion criteria. We identified 268 mutated genes that were present in two or more breast cancer brain metastases samples. Of these 268 genes, 22 (8%) were mutated in five or more patients and pathway enrichment analysis showed their involvement in breast cancer-related signalling pathways, regulation of gene transcription, cell cycle, and DNA repair. Actionability analysis using the Drug Gene Interaction Database revealed that 15 (68%) of these 22 genes are actionable drug targets. In addition, immunohistochemistry and PAM50 data showed receptor discordancy between primary breast cancers and their paired brain metastases. This systematic review provides a detailed overview of the most commonly mutated genes identified in samples of breast cancer brain metastases and their clinical relevance. These data highlight the differences between primary breast cancers and brain metastases and the importance of acquiring and analysing brain metastasis samples for further study.
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Affiliation(s)
- Alexander J Morgan
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Athina Giannoudis
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
| | - Carlo Palmieri
- Department of Molecular and Clinical Cancer Medicine, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK; Department of Medical Oncology, The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK.
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20
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Baek M, Chang JT, Echeverria GV. Methodological Advancements for Investigating Intra-tumoral Heterogeneity in Breast Cancer at the Bench and Bedside. J Mammary Gland Biol Neoplasia 2020; 25:289-304. [PMID: 33300087 PMCID: PMC7960623 DOI: 10.1007/s10911-020-09470-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 11/12/2020] [Indexed: 12/20/2022] Open
Abstract
There is a major need to overcome therapeutic resistance and metastasis that eventually arises in many breast cancer patients. Therapy resistant and metastatic tumors are increasingly recognized to possess intra-tumoral heterogeneity (ITH), a diversity of cells within an individual tumor. First hypothesized in the 1970s, the possibility that this complex ITH may endow tumors with adaptability and evolvability to metastasize and evade therapies is now supported by multiple lines of evidence. Our understanding of ITH has been driven by recent methodological advances including next-generation sequencing, computational modeling, lineage tracing, single-cell technologies, and multiplexed in situ approaches. These have been applied across a range of specimens, including patient tumor biopsies, liquid biopsies, cultured cell lines, and mouse models. In this review, we discuss these approaches and how they have deepened our understanding of the mechanistic origins of ITH amongst tumor cells, including stem cell-like differentiation hierarchies and Darwinian evolution, and the functional role for ITH in breast cancer progression. While ITH presents a challenge for combating tumor evolution, in-depth analyses of ITH in clinical biopsies and laboratory models hold promise to elucidate therapeutic strategies that should ultimately improve outcomes for breast cancer patients.
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Affiliation(s)
- Mokryun Baek
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jeffrey T Chang
- Department of Pharmacology and Integrative Biology, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Gloria V Echeverria
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
- Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
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21
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Abstract
PURPOSE OF REVIEW Management of metastasis to the central nervous system (CNS) has evolved, and molecular characterization of metastatic disease is now routinely done. Targeted therapies, once few in number with limited penetration into the CNS, have multiplied in number and increased in CNS coverage. This article addresses recent advances in the evaluation and clinical management of patients with CNS metastasis. RECENT FINDINGS Metastasis of cancer to the CNS can be diagnosed and characterized with novel techniques, including molecular analyses of the spinal fluid, so-called liquid biopsies. Resected parenchymal CNS metastases are now routinely subjected to genomic sequencing. For patients with CNS metastases displaying targetable mutations, a wide variety of treatment options are available, including deferral of radiation therapy in favor of a trial of an orally bioavailable targeted therapy or immunotherapy. For patients without a molecularly targetable lesion, local treatment in the form of radiation therapy, now most often stereotactic radiosurgery, is supplanting untargeted whole-brain radiation therapy. SUMMARY Technologic advances in diagnosis and management have resulted in new diagnostic and therapeutic approaches to patients with metastasis to the CNS, with resulting improvements in progression-free and overall survival.
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Venetis K, Invernizzi M, Sajjadi E, Curigliano G, Fusco N. Cellular immunotherapy in breast cancer: The quest for consistent biomarkers. Cancer Treat Rev 2020; 90:102089. [PMID: 32889360 DOI: 10.1016/j.ctrv.2020.102089] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/06/2020] [Accepted: 08/07/2020] [Indexed: 02/07/2023]
Abstract
Breast cancer is the most common malignancy in women worldwide, with a relatively high proportion of patients experiencing resistance to standard treatments. Cellular immunotherapy (CI), which is based on the extraction, modification, and re-infusion of the patient's immune cells, is showing promising results in these patients. Among CI possible approaches, adoptive cell therapy (ACT) and dendritic cell (DC) vaccination are the most comprehensively explored in both primary/translational research studies and clinical trials. ACT may include the use of tumor-infiltrating lymphocytes (TILs), T cell receptor (TCR)-, or chimeric antigen receptor (CAR)-engineered T-cells. There are indications suggesting that a biomarker-based approach might be beneficial in effectively selecting breast cancer patients for CI. Here, we sought to provide the current knowledge of CI in breast cancer, focusing on candidate biomarkers, ongoing clinical trials, limitations, and immediate future perspectives.
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Affiliation(s)
- Konstantinos Venetis
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; Ph.D. Program in Translational Medicine, University of Milan, 20133 Milan, Italy; Division of Pathology and Laboratory Medicine, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Marco Invernizzi
- Department of Health Sciences, University of Eastern Piedmont, 28100 Novara, Italy
| | - Elham Sajjadi
- Division of Pathology and Laboratory Medicine, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; Division of Early Drug Development for Innovative Therapies, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy.
| | - Nicola Fusco
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; Division of Pathology and Laboratory Medicine, IEO, European Institute of Oncology IRCCS, 20141 Milan, Italy.
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23
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Freitag CE, Mei P, Wei L, Parwani AV, Li Z. Genetic alterations and their association with clinicopathologic characteristics in advanced breast carcinomas: focusing on clinically actionable genetic alterations. Hum Pathol 2020; 102:94-103. [PMID: 32445652 DOI: 10.1016/j.humpath.2020.05.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/17/2020] [Accepted: 05/13/2020] [Indexed: 02/07/2023]
Abstract
Breast carcinomas (BCs) are genetically heterogeneous and associated with numerous mutations which can be used to predict outcomes and initiate targeted therapies. We investigated clinicopathologic characteristics associated with gene mutations detected using the FoundationOne CDx assay in a cohort of 223 clinically advanced BCs (66 locally recurrent and 157 metastatic) from our institution. One hundred fifty unique mutations were identified (total 1008) in the cohort, with the most prevalent (>10%) including TP53 (53.8%), PIK3CA (35%), MYC (22%), CCND1 (19.7%), FGF19 (19.7%), FGF4 (16.6%), FGF3 (16.1%), ZNF703 (14.8%), ESR1 (13.9%), FGFR1 (13.5%), PTEN (12.1%), and CDH1 (10.8%). ERBB2 genetic alteration was most common in human epidermal growth factor receptor 2 (HER2)-positive BCs, and GATA3 and ESR1 mutations were only identified in hormone receptor-positive BC. Mutations enriched in triple-negative BCs (TNBCs) included TP53, PTEN, RB1, and CDKN2A/B. CDH1 mutation was predominantly found in lobular carcinomas, and PIK3CA mutation was also enriched. Mutations enriched in metaplastic carcinomas with heterologous mesenchymal differentiation included TP53, PTEN, MCL1, CDKN2A/B, and NOTCH2. An increase in mutations of CCND1, FGF19, FGF4, FGF3, ESR1, and EMSY was identified in metastatic BCs compared with locally recurrent BCs. Overall, PIK3CA was the most frequent clinically actionable genetic alteration (35%), followed by MYC (22%), CCND1 (19.7%), and FGF3/FGF4/FGFR1 (16%). In conclusion, our study provides genetic insight into the biology of advanced BCs and summarizes their most frequent clinically actionable genetic alterations, generating useful genomic information for potential improvement of patient management.
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Affiliation(s)
- Cody Eric Freitag
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Ping Mei
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Lai Wei
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - Anil V Parwani
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA
| | - Zaibo Li
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, 43210, USA.
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24
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Jones RH, Casbard A, Carucci M, Foxley A, Howell SJ. Fulvestrant plus capivasertib for metastatic breast cancer - Authors' reply. Lancet Oncol 2020; 21:e234. [PMID: 32359499 DOI: 10.1016/s1470-2045(20)30237-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 04/08/2020] [Accepted: 04/08/2020] [Indexed: 10/24/2022]
Affiliation(s)
| | - Angela Casbard
- Centre for Trials Research, Cardiff University, Cardiff, UK
| | | | | | - Sacha J Howell
- Division of Cancer Sciences, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
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25
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Li A, Schleicher SM, Andre F, Mitri ZI. Genomic Alteration in Metastatic Breast Cancer and Its Treatment. Am Soc Clin Oncol Educ Book 2020; 40:1-14. [PMID: 32213086 DOI: 10.1200/edbk_280463] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Metastatic breast cancer (mBC) remains responsible for the majority of breast cancer deaths. Whereas clinical outcomes have improved with the development of novel therapies, resistance almost inevitably develops, indicating the need for novel therapeutic approaches for the treatment of mBC. Recent investigations into mBC genomic alterations have revealed novel and potential therapeutic targets. Most notably, therapies against PIK3CA mutation and germline BRCA1/2 mutations have solidified the role of targeted therapy in mBC, with treatments against these alterations now approved by the U.S. Food and Drug Administration (FDA) on the basis of clinical benefit for patients with mBC. Familiarity with relevant genomic alterations in mBC, technologies for mutation detection, methods of interpreting genomic alterations, and an understanding of their clinical impact will aid practicing clinicians in the treatment of mBC as the field of breast oncology moves toward the era of precision medicine.
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Affiliation(s)
- Allen Li
- Department of Hematology Oncology, Oregon Health & Science University, Knight Cancer Institute, Portland, OR
| | | | - Fabrice Andre
- Gustave Roussy Cancer Center, Université Paris Saclay, Villejuif, France
| | - Zahi I Mitri
- Department of Hematology Oncology, Oregon Health & Science University, Knight Cancer Institute, Portland, OR
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26
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von Baumgarten L, Kumbrink J, Jung A, Reischer A, Flach M, Liebmann S, Metzeler KH, Holch JW, Niyazi M, Thon N, Straube A, von Bergwelt-Baildon M, Heinemann V, Kirchner T, Westphalen CB. Therapeutic management of neuro-oncologic patients - potential relevance of CSF liquid biopsy. Am J Cancer Res 2020; 10:856-866. [PMID: 31903155 PMCID: PMC6929982 DOI: 10.7150/thno.36884] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/08/2019] [Indexed: 01/09/2023] Open
Abstract
Background: In the era of precision medicine, cancer treatment is increasingly tailored according to tumor-specific genomic alterations. The analysis of tumor-derived circulating nucleic acids in cerebrospinal fluid (CSF) by next generation sequencing (NGS) may facilitate precision medicine in the field of CNS cancer. We therefore evaluated whether NGS from CSF of neuro-oncologic patients reliably detects tumor-specific genomic alterations and whether this may help to guide the management of patients with CNS cancer in clinical practice. Patient and methods: CSF samples from 27 patients with various primary and secondary CNS malignancies were collected and evaluated by NGS using a targeted, amplicon-based NGS-panel (Oncomine Focus Assay). All cases were discussed within the framework of a molecular tumor board at the Comprehensive Cancer Center Munich. Results: NGS was technically successful in 23/27 patients (85%). Genomic alterations were detectable in 20/27 patients (74%), 11/27 (40%) of which were potentially actionable. After discussion in the MTB, a change of therapeutic management was recommended in 7/27 (26%) of the cases. However, due to rapid clinical progression, only 4/27 (15%) of the patients were treated according to the recommendation. In a subset of patients (6/27, 22%), a high number of mutations of unknown significance suggestive of a high tumor mutational burden (TMB) were detected. Conclusions: NGS from cerebrospinal fluid is feasible in routine clinical practice and yields therapeutically relevant alterations in a large subset of patients. Integration of this approach into a precision cancer medicine program might help to improve therapeutic options for patients with CNS cancer.
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27
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Tyran M, Carbuccia N, Garnier S, Guille A, Adelaïde J, Finetti P, Toulzian J, Viens P, Tallet A, Goncalves A, Metellus P, Birnbaum D, Chaffanet M, Bertucci F. A Comparison of DNA Mutation and Copy Number Profiles of Primary Breast Cancers and Paired Brain Metastases for Identifying Clinically Relevant Genetic Alterations in Brain Metastases. Cancers (Basel) 2019; 11:cancers11050665. [PMID: 31086113 PMCID: PMC6562582 DOI: 10.3390/cancers11050665] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/08/2019] [Accepted: 05/11/2019] [Indexed: 12/15/2022] Open
Abstract
Improving the systemic treatment of brain metastases (BM) in primary breast cancer (PBC) is impaired by the lack of genomic characterization of BM. To estimate the concordance of DNA copy-number-alterations (CNAs), mutations, and actionable genetic alterations (AGAs) between paired samples, we performed whole-genome array-comparative-genomic-hybridization, and targeted-next-generation-sequencing on 14 clinical PBC–BM pairs. We found more CNAs, more mutations, and higher tumor mutational burden, and more AGAs in BM than in PBC; 92% of the pairs harbored at least one AGA in the BM not observed in the paired PBC. This concerned various therapeutic classes, including tyrosine-kinase-receptor-inhibitors, phosphatidylinositol 3-kinase/AKT/ mammalian Target of Rapamycin (PI3K/AKT/MTOR)-inhibitors, poly ADP ribose polymerase (PARP)-inhibitors, or cyclin-dependent kinase (CDK)-inhibitors. With regards to the PARP-inhibitors, the homologous recombination defect score was positive in 79% of BM, compared to 43% of PBC, discordant in 7 out of 14 pairs, and positive in the BM in 5 out of 14 cases. CDK-inhibitors were associated with the largest percentage of discordant AGA appearing in the BM. When considering the AGA with the highest clinical-evidence level, for each sample, 50% of the pairs harbored an AGA in the BM not detected or not retained from the analysis of the paired PBC. Thus, the profiling of BM provided a more reliable opportunity, than that of PBC, for diagnostic decision-making based on genomic analysis. Patients with BM deserve an investigation of several targeted therapies.
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Affiliation(s)
- Marguerite Tyran
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
- Département de Radiothérapie, Institut Paoli-Calmettes, 13009 Marseille, France.
| | - Nadine Carbuccia
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - Séverine Garnier
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - Arnaud Guille
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - José Adelaïde
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - Pascal Finetti
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - Julien Toulzian
- Département d'Anatomopathologie, Institut Paoli-Calmettes, 13009 Marseille, France.
| | - Patrice Viens
- Département d'Oncologie Médicale, Institut Paoli-Calmettes, 13009 Marseille, France.
- Faculté de Médecine, Aix-Marseille Université, 13005 Marseille, France.
| | - Agnès Tallet
- Département de Radiothérapie, Institut Paoli-Calmettes, 13009 Marseille, France.
| | - Anthony Goncalves
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
- Département d'Oncologie Médicale, Institut Paoli-Calmettes, 13009 Marseille, France.
- Faculté de Médecine, Aix-Marseille Université, 13005 Marseille, France.
| | - Philippe Metellus
- Département de Neurochirurgie et de Neuro-oncologie, Hôpital Privé Clairval, Ramsay-Générale de Santé and Institut de Neurophysiopathologie Equipe 10, UMR0751, CNRS, 13009 Marseille, France.
| | - Daniel Birnbaum
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - Max Chaffanet
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
| | - François Bertucci
- Laboratoire d'Oncologie Prédictive, Centre de Recherche en Cancérologie de Marseille (CRCM), Inserm, U1068, CNRS UMR7258, Aix-Marseille Université, Institut Paoli-Calmettes, F-13009 Marseille, France.
- Département d'Oncologie Médicale, Institut Paoli-Calmettes, 13009 Marseille, France.
- Faculté de Médecine, Aix-Marseille Université, 13005 Marseille, France.
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28
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Bertucci F, Ng CKY, Patsouris A, Droin N, Piscuoglio S, Carbuccia N, Soria JC, Dien AT, Adnani Y, Kamal M, Garnier S, Meurice G, Jimenez M, Dogan S, Verret B, Chaffanet M, Bachelot T, Campone M, Lefeuvre C, Bonnefoi H, Dalenc F, Jacquet A, De Filippo MR, Babbar N, Birnbaum D, Filleron T, Le Tourneau C, André F. Genomic characterization of metastatic breast cancers. Nature 2019; 569:560-564. [PMID: 31118521 DOI: 10.1038/s41586-019-1056-z] [Citation(s) in RCA: 323] [Impact Index Per Article: 64.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 02/21/2019] [Indexed: 12/14/2022]
Abstract
Metastasis is the main cause of death for patients with breast cancer. Many studies have characterized the genomic landscape of breast cancer during its early stages. However, there is evidence that genomic alterations are acquired during the evolution of cancers from their early to late stages, and that the genomic landscape of early cancers is not representative of that of lethal cancers1-7. Here we investigated the landscape of somatic alterations in 617 metastatic breast cancers. Nine driver genes (TP53, ESR1, GATA3, KMT2C, NCOR1, AKT1, NF1, RIC8A and RB1) were more frequently mutated in metastatic breast cancers that expressed hormone receptors (oestrogen and/or progesterone receptors; HR+) but did not have high levels of HER2 (HER2-; n = 381), when compared to early breast cancers from The Cancer Genome Atlas. In addition, 18 amplicons were more frequently observed in HR+/HER2- metastatic breast cancers. These cancers showed an increase in mutational signatures S2, S3, S10, S13 and S17. Among the gene alterations that were enriched in HR+/HER2- metastatic breast cancers, mutations in TP53, RB1 and NF1, together with S10, S13 and S17, were associated with poor outcome. Metastatic triple-negative breast cancers showed an increase in the frequency of somatic biallelic loss-of-function mutations in genes related to homologous recombination DNA repair, compared to early triple-negative breast cancers (7% versus 2%). Finally, metastatic breast cancers showed an increase in mutational burden and clonal diversity compared to early breast cancers. Thus, the genomic landscape of metastatic breast cancer is enriched in clinically relevant genomic alterations and is more complex than that of early breast cancer. The identification of genomic alterations associated with poor outcome will allow earlier and better selection of patients who require the use of treatments that are still in clinical trials. The genetic complexity observed in advanced breast cancer suggests that such treatments should be introduced as early as possible in the disease course.
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Affiliation(s)
- François Bertucci
- CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France
| | - Charlotte K Y Ng
- Institute of Pathology, University Hospital Basel, Basel, Switzerland
- Clarunis, Department of Biomedicine, University of Basel, Basel, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
| | - Anne Patsouris
- Inserm, U1232, Nantes, France
- Institut de Cancérologie de l'Ouest - René Gauducheau, Saint Herblain, France
| | - Nathalie Droin
- Genomic Core Facility UMS AMMICA Gustave Roussy Cancer Campus, Villejuif, France
- INSERM, US23, Villejuif, France
- CNRS, UMS3665, Villejuif, France
| | - Salvatore Piscuoglio
- Institute of Pathology, University Hospital Basel, Basel, Switzerland
- Clarunis, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Nadine Carbuccia
- CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France
| | - Jean Charles Soria
- Université Paris Sud, Orsay, France
- Drug Development Department (DITEP), Gustave Roussy Cancer Campus, Villejuif, France
| | - Alicia Tran Dien
- Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France
| | - Yahia Adnani
- Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France
| | - Maud Kamal
- Department of Translational Research, Institut Curie, Saint-Cloud, France
| | - Séverine Garnier
- CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France
| | - Guillaume Meurice
- Bioinformatics Core Facility, Gustave Roussy Cancer Campus, Villejuif, France
| | | | - Semih Dogan
- Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France
| | - Benjamin Verret
- Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France
| | - Max Chaffanet
- CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France
| | | | - Mario Campone
- Inserm, U1232, Nantes, France
- Institut de Cancérologie de l'Ouest - René Gauducheau, Saint Herblain, France
| | | | | | | | | | | | - Naveen Babbar
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, USA
| | - Daniel Birnbaum
- CRCM, Predictive Oncology team, Inserm, Aix-Marseille Univ, CNRS, Institut Paoli-Calmettes, Marseille, France
| | | | - Christophe Le Tourneau
- Department of Drug Development and Innovation, Institut Curie, Saint-Cloud, France
- INSERM U900, Saint-Cloud, France
- Versailles Saint Quentin en Yvelines University, Montigny le Bretonneux, France
| | - Fabrice André
- Université Paris Sud, Orsay, France.
- Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France.
- Department of Medical Oncology, Gustave Roussy, Villejuif, France.
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29
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Caswell-Jin JL, McNamara K, Reiter JG, Sun R, Hu Z, Ma Z, Ding J, Suarez CJ, Tilk S, Raghavendra A, Forte V, Chin SF, Bardwell H, Provenzano E, Caldas C, Lang J, West R, Tripathy D, Press MF, Curtis C. Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy. Nat Commun 2019; 10:657. [PMID: 30737380 PMCID: PMC6368565 DOI: 10.1038/s41467-019-08593-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 01/18/2019] [Indexed: 01/28/2023] Open
Abstract
Genomic changes observed across treatment may result from either clonal evolution or geographically disparate sampling of heterogeneous tumors. Here we use computational modeling based on analysis of fifteen primary breast tumors and find that apparent clonal change between two tumor samples can frequently be explained by pre-treatment heterogeneity, such that at least two regions are necessary to detect treatment-induced clonal shifts. To assess for clonal replacement, we devise a summary statistic based on whole-exome sequencing of a pre-treatment biopsy and multi-region sampling of the post-treatment surgical specimen and apply this measure to five breast tumors treated with neoadjuvant HER2-targeted therapy. Two tumors underwent clonal replacement with treatment, and mathematical modeling indicates these two tumors had resistant subclones prior to treatment and rates of resistance-related genomic changes that were substantially larger than previous estimates. Our results provide a needed framework to incorporate primary tumor heterogeneity in investigating the evolution of resistance.
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Affiliation(s)
- Jennifer L Caswell-Jin
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
| | - Katherine McNamara
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Johannes G Reiter
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, 94305, CA, USA
| | - Ruping Sun
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Zheng Hu
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Zhicheng Ma
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Jie Ding
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Carlos J Suarez
- Department of Pathology, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Susanne Tilk
- Department of Biology, Stanford University, Stanford, 94305, CA, USA
| | - Akshara Raghavendra
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Victoria Forte
- Maimonides Medical Center, Brooklyn, 11219, NY, USA
- Norris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Helen Bardwell
- Cancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Elena Provenzano
- Cambridge Experimental Cancer Medicine Centre and NIHR Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, CB2 0QQ, UK
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, Department of Oncology, University of Cambridge, Cambridge, CB2 0RE, UK
| | - Julie Lang
- Norris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA
- Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, 90333, CA, USA
| | - Robert West
- Department of Pathology, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Debu Tripathy
- Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, 77030, TX, USA
| | - Michael F Press
- Norris Comprehensive Cancer Center, Los Angeles, 90033, CA, USA
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, 90033, CA, USA
| | - Christina Curtis
- Department of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, 94305, California, United States.
- Department of Genetics, Stanford University School of Medicine, Stanford, 94305, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, 94305, CA, USA.
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First experience and clinical results using a new non-coplanar mono-isocenter technique (HyperArc™) for Linac-based VMAT radiosurgery in brain metastases. J Cancer Res Clin Oncol 2018; 145:193-200. [PMID: 30382369 DOI: 10.1007/s00432-018-2781-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2018] [Accepted: 10/24/2018] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Radiosurgery (SRS) or stereotactic fractionated radiotherapy (SFRT) is increasing in the treatment of brain metastases (BMs). Aim of the present study was to evaluate the safety and effectiveness of SRS/SFRT for BMs, using a new mono-isocenter non-coplanar solution (HyperArc™ Varian Medical System). METHODS BMs patients with a diameter inferior to 3 cm, a life expectancy of more than 3 months and a good performance status, were eligible for Linac-based volumetric modulated arc therapy (VMAT) SFRT/SRS with HyperArc™. A retrospective analysis of patients and BMs was performed. RESULTS From August 2017 to May 2018, 381 BMs in 64 patients were treated and 246 BMs (43 patients, median number of BMs: 5) of them were suitable for analysis. With a median FU time of 6 months, 244 out 246 (99%) BMs were controlled (18% complete response; 41% partial response, 40% stable disease), 2 BMs showed a progression, at the first control. No acute or late toxicities were reported. Median overall survival (OS) has not yet been achieved, while median time to progression was 5 months. In univariate analysis, statistically negative prognostic factors for OS were histology of primary tumor (p = 0.009): lung/breast cancer had better survival rates as compared to others. Cumulative intracranial volume disease ≥ 15 cc and systemic progression disease were independent prognostic factors for OS at univariate (p = 0.04; p = 0.005) and multivariate (p = 0.04; p = 0.009) analysis, respectively. CONCLUSION The present first clinical data show that SFRT/SRS with HyperArc™ is safe and effective for BMs patients. The utilization of SFRT/SRS for BMs is promising and should be further explored in randomized trials.
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