101
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Komatsu H, Okawa M, Kazuki Y, Kazuki K, Hichiwa G, Shimoya K, Sato S, Taniguchi F, Oshimura M, Harada T. Characterization of immortalized ovarian epithelial cells with BRCA1/2 mutation. Hum Cell 2024; 37:986-996. [PMID: 38615309 DOI: 10.1007/s13577-024-01064-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 04/01/2024] [Indexed: 04/15/2024]
Abstract
We aimed to elucidate the mechanism underlying carcinogenesis by comparing normal and BRCA1/2-mutated ovarian epithelial cells established via Sendai virus-based immortalization. Ovarian epithelial cells (normal epithelium: Ovn; with germline BRCA1 mutation: OvBRCA1; with germline BRCA2 mutation: OvBRCA2) were infected with Sendai virus vectors carrying three immortalization genes (Bmi-1, hTERT, and SV40T). The immunoreactivity to anti-epithelial cellular adhesion molecule (EpCAM) antibodies in each cell line and cells after 25 passages was confirmed using flow cytometry. Chromosomes were identified and karyotyped to detect numerical and structural abnormalities. Total RNA extracted from the cells was subjected to human transcriptome sequencing. Highly expressed genes in each cell line were confirmed using real-time polymerase chain reaction. Immortalization techniques allowed 25 or more passages of Ovn, OvBRCA1, and OvBRCA2 cells. No anti-EpCAM antibody reactions were observed in primary cultures or after long-term passages of each cell line. Structural abnormalities in the chromosomes were observed in each cell line; however, the abnormal chromosomes were successfully separated from the normal structures via cloning. Only normal cells from each cell line were cloned. MMP1, CCL2, and PAPPA were more predominantly expressed in OvBRCA1 and OvBRCA2 cells than in Ovn cells. Immortalized ovarian cells derived from patients with germline BRCA1 or BRCA2 mutations showed substantially higher MMP1 expression than normal ovarian cells. However, the findings need to be validated in the future.
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Affiliation(s)
- Hiroaki Komatsu
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, Tottori, 683-8504, Japan.
| | - Masayo Okawa
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, Tottori, 683-8504, Japan
| | - Yasuhiro Kazuki
- Department of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, Tottori, Japan
| | - Kanako Kazuki
- Department of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, Tottori, Japan
| | - Genki Hichiwa
- Department of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, Tottori, Japan
| | - Kazuto Shimoya
- Department of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, Tottori, Japan
| | - Shinya Sato
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, Tottori, 683-8504, Japan
| | - Fuminori Taniguchi
- Department of Obstetrics and Gynecology, Tottori University School of Medicine, 36-1 Nishicho, Yonago, Tottori, 683-8504, Japan
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102
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Sueangoen N, Thuwajit P, Yenchitsomanus PT, Thuwajit C. Public neoantigens in breast cancer immunotherapy (Review). Int J Mol Med 2024; 54:65. [PMID: 38904202 PMCID: PMC11188978 DOI: 10.3892/ijmm.2024.5388] [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: 01/17/2024] [Accepted: 05/15/2024] [Indexed: 06/22/2024] Open
Abstract
Among women globally, breast cancer is the most prevalent cancer and the leading cause of cancer‑related death. Interestingly, though genetic mutations contribute to the disease, <15% of women diagnosed with breast cancer have a family history of the disease, suggesting a prevalence of sporadic genetic mutations in breast cancer development. In the rapidly rising field of cancer genomics, neoantigen‑based immunotherapy has come to the fore. The investigation of novel proteins arising from unique somatic mutations or neoantigens have opened a new pathway for both individualized and public cancer treatments. Because they are shared among individuals with similar genetic changes, public neoantigens provide an opportunity for 'off‑the‑shelf' anticancer therapies, potentially extending the benefits to a wider patient group. The present review aimed to highlight the role of shared or public neoantigens as therapeutic targets for patients with breast cancer, emphasizing common hotspot mutations of certain genes identified in breast cancer. The clinical utilization of public neoantigen‑based therapies for breast cancer treatment were also discussed.
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Affiliation(s)
- Natthaporn Sueangoen
- Research Center, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Peti Thuwajit
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Pa-Thai Yenchitsomanus
- Siriraj Center of Research Excellence for Cancer Immunotherapy (SiCORE-CIT), Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
- Division of Molecular Medicine, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
| | - Chanitra Thuwajit
- Department of Immunology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand
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103
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Guo CC, Lee S, Lee JG, Chen H, Zaleski M, Choi W, McConkey DJ, Wei P, Czerniak B. Molecular profile of bladder cancer progression to clinically aggressive subtypes. Nat Rev Urol 2024; 21:391-405. [PMID: 38321289 DOI: 10.1038/s41585-023-00847-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2023] [Indexed: 02/08/2024]
Abstract
Bladder cancer is a histologically and clinically heterogenous disease. Most bladder cancers are urothelial carcinomas, which frequently develop distinct histological subtypes. Several urothelial carcinoma histological subtypes, such as micropapillary, plasmacytoid, small-cell carcinoma and sarcomatoid, show highly aggressive behaviour and pose unique challenges in diagnosis and treatment. Comprehensive genomic characterizations of the urothelial carcinoma subtypes have revealed that they probably arise from a precursor subset of conventional urothelial carcinomas that belong to different molecular subtypes - micropapillary and plasmacytoid subtypes develop along the luminal pathway, whereas small-cell and sarcomatoid subtypes evolve along the basal pathway. The subtypes exhibit distinct genomic alterations, but in most cases their biological properties seem to be primarily determined by specific gene expression profiles, including epithelial-mesenchymal transition, urothelial-to-neural lineage plasticity, and immune infiltration with distinct upregulation of immune regulatory genes. These breakthrough studies have transformed our view of bladder cancer histological subtype biology, generated new hypotheses for therapy and chemoresistance, and facilitated the discovery of new therapeutic targets.
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Affiliation(s)
- Charles C Guo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sangkyou Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - June G Lee
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Huiqin Chen
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Zaleski
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Woonyoung Choi
- Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD, USA
| | - David J McConkey
- Johns Hopkins Greenberg Bladder Cancer Institute, Johns Hopkins University, Baltimore, MD, USA
| | - Peng Wei
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bogdan Czerniak
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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104
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Wang G, Gan X, Chen X, Zeng Q, Zhang Z, Li J, Guo Z, Hou LC, Xu J, Kang H, Guo F. Genomic Insights into the Role of TOP Gene Family in Soft-Tissue Sarcomas: Implications for Prognosis and Therapy. Adv Biol (Weinh) 2024; 8:e2300678. [PMID: 38837283 DOI: 10.1002/adbi.202300678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/19/2024] [Indexed: 06/07/2024]
Abstract
This study focuses on the role of topoisomerases (TOPs) in sarcomas (SARCs), highlighting TOPs' influence on sarcoma prognosis through mRNA expression, genetic mutations, immune infiltration, and DNA methylation analysis using transcriptase sequencing and other techniques. The findings indicate that TOP gene mutations correlate with increased inflammation, immune cell infiltration, DNA repair abnormalities, and mitochondrial fusion genes alterations, all of which negatively affect sarcoma prognosis. Abnormal TOP expression may independently affect sarcoma patients' survival. Cutting-edge genomic tools such as Oncomine, gene expression profiling interactive analysis (GEPIA), and cBio Cancer Genomics Portal (cBioPortal) are utilized to explore the TOP gene family (TOP1/1MT/2A/2B/3A/3B) in soft-tissue sarcomas (STSs). This in-depth analysis reveals a notable upregulation of TOP mRNA in STS patients arcoss various SARC subtypes, French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) grades, and specific molecular profiles correlating with poorer clinical outcomes. Furthermore, this investigation identifies distinct patterns of immune cell infiltration, genetic mutations, and somatic copy number variations linked to TOP genes that inversely affect patient survival rates. These findings underscore the diagnostic and therapeutic relevance of the TOP gene suite in STSs.
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Affiliation(s)
- Genchun Wang
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xin Gan
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xin Chen
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Qunqian Zeng
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Zhuoran Zhang
- The Second Clinical School of Hubei University of Medicine, Shiyan City, Hubei, 442000, China
| | - Jiantao Li
- The Fifth Clinical School of Hubei University of Medicine, Shiyan City, Hubei, 442000, China
| | - Zhou Guo
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Liang Cai Hou
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - JingTing Xu
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Hao Kang
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Fengjing Guo
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
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105
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Boscolo Bielo L, Trapani D, Nicolò E, Valenza C, Guidi L, Belli C, Kotteas E, Marra A, Prat A, Fusco N, Criscitiello C, Burstein HJ, Curigliano G. The evolving landscape of metastatic HER2-positive, hormone receptor-positive Breast Cancer. Cancer Treat Rev 2024; 128:102761. [PMID: 38772169 DOI: 10.1016/j.ctrv.2024.102761] [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: 03/02/2024] [Revised: 05/05/2024] [Accepted: 05/15/2024] [Indexed: 05/23/2024]
Abstract
Therapeutic agents targeting Human Epidermal Growth Factor Receptor 2 (HER2) demonstrated to positively impact the prognosis of HER2-positive breast cancer. HER2-positive breast cancer can present either as hormone receptor-negative or positive, defining Triple-positive breast cancer (TPBC). TPBC demonstrate unique gene expression profiles, showing reduced HER2-driven gene expression, as recapitulated by a higher proportion of Luminal-type intrinsic subtypes. The different molecular landscape of TPBC dictates distinctive clinical features, including reduced chemotherapy sensitivity, different patterns of recurrence, and better overall prognosis. Cross-talk between HER2 and hormone receptor signaling seems to be critical to determine resistance to HER2-directed agents. Accordingly, superior outcomes have been achieved with the use of endocrine therapy, representing the first subtype-specific pharmacological intervention unique to this subgroup. Additional targeted agents capable to tackle resistance mechanisms to anti-HER2, hormone agents, or both might further improve the efficacy of treatments, such as PI3K/AKT/mTOR inhibitors, particularly in a biomarker-enriched setting, and CDK4/6-inhibitors, with preliminary data suggesting a role of PAM50 subtyping to predict higher benefits in luminal tumors. Finally, the distinct biology of triple-positive tumors may yield the rationale for considering combinations within antibody-drug conjugate regimens. Accordingly, in this review, we summarized the current evidence and rationale for considering TPBC as a different entity, in which distinct therapeutical approaches leveraging on the different biological profile of TPBC may result in superior anticancer regimens and improved patient-centric outcomes.
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Affiliation(s)
- Luca Boscolo Bielo
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Dario Trapani
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Eleonora Nicolò
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Carmine Valenza
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Lorenzo Guidi
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Carmen Belli
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
| | - Elias Kotteas
- Oncology Unit, Sotiria General Hospital, 3rd Dept of Internal Medicine, Athens School of Medicine, Greece
| | - Antonio Marra
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
| | - Aleix Prat
- Department of Medical Oncology and Translational Genomics and Targeted Therapies in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Spain
| | - Nicola Fusco
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy; Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Carmen Criscitiello
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Harold J Burstein
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Giuseppe Curigliano
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
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106
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Solorzano L, Robertson S, Acs B, Hartman J, Rantalainen M. Ensemble-based deep learning improves detection of invasive breast cancer in routine histopathology images. Heliyon 2024; 10:e32892. [PMID: 39022088 PMCID: PMC11252882 DOI: 10.1016/j.heliyon.2024.e32892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 07/20/2024] Open
Abstract
Accurate detection of invasive breast cancer (IC) can provide decision support to pathologists as well as improve downstream computational analyses, where detection of IC is a first step. Tissue containing IC is characterized by the presence of specific morphological features, which can be learned by convolutional neural networks (CNN). Here, we compare the use of a single CNN model versus an ensemble of several base models with the same CNN architecture, and we evaluate prediction performance as well as variability across ensemble based model predictions. Two in-house datasets comprising 587 whole slide images (WSI) are used to train an ensemble of ten InceptionV3 models whose consensus is used to determine the presence of IC. A novel visualisation strategy was developed to communicate ensemble agreement spatially. Performance was evaluated in an internal test set with 118 WSIs, and in an additional external dataset (TCGA breast cancer) with 157 WSI. We observed that the ensemble-based strategy outperformed the single CNN-model alternative with respect to accuracy on tile level in 89 % of all WSIs in the test set. The overall accuracy was 0.92 (DICE coefficient, 0.90) for the ensemble model, and 0.85 (DICE coefficient, 0.83) for the single CNN alternative in the internal test set. For TCGA the ensemble outperformed the single CNN in 96.8 % of the WSI, with an accuracy of 0.87 (DICE coefficient 0.89), the single model provides an accuracy of 0.75 (DICE coefficient 0.78). The results suggest that an ensemble-based modeling strategy for breast cancer invasive cancer detection consistently outperforms the conventional single model alternative. Furthermore, visualisation of the ensemble agreement and confusion areas provide direct visual interpretation of the results. High performing cancer detection can provide decision support in the routine pathology setting as well as facilitate downstream computational analyses.
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Affiliation(s)
- Leslie Solorzano
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Balazs Acs
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Johan Hartman
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Mattias Rantalainen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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107
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Sinevici N, Edmonds CE, Dontchos BN, Wang G, Lehman CD, Isakoff S, Mahmood U. A prospective study of HER3 expression pre and post neoadjuvant therapy of different breast cancer subtypes: implications for HER3 imaging therapy guidance. Breast Cancer Res 2024; 26:107. [PMID: 38951909 PMCID: PMC11218108 DOI: 10.1186/s13058-024-01859-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 06/18/2024] [Indexed: 07/03/2024] Open
Abstract
PURPOSE HER3, a member of the EGFR receptor family, plays a central role in driving oncogenic cell proliferation in breast cancer. Novel HER3 therapeutics are showing promising results while recently developed HER3 PET imaging modalities aid in predicting and assessing early treatment response. However, baseline HER3 expression, as well as changes in expression while on neoadjuvant therapy, have not been well-characterized. We conducted a prospective clinical study, pre- and post-neoadjuvant/systemic therapy, in patients with newly diagnosed breast cancer to determine HER3 expression, and to identify possible resistance mechanisms maintained through the HER3 receptor. EXPERIMENTAL DESIGN The study was conducted between May 25, 2018 and October 12, 2019. Thirty-four patients with newly diagnosed breast cancer of any subtype (ER ± , PR ± , HER2 ±) were enrolled in the study. Two core biopsy specimens were obtained from each patient at the time of diagnosis. Four patients underwent a second research biopsy following initiation of neoadjuvant/systemic therapy or systemic therapy which we define as neoadjuvant therapy. Molecular characterization of HER3 and downstream signaling nodes of the PI3K/AKT and MAPK pathways pre- and post-initiation of therapy was performed. Transcriptional validation of finings was performed in an external dataset (GSE122630). RESULTS Variable baseline HER3 expression was found in newly diagnosed breast cancer and correlated positively with pAKT across subtypes (r = 0.45). In patients receiving neoadjuvant/systemic therapy, changes in HER3 expression were variable. In a hormone receptor-positive (ER +/PR +/HER2-) patient, there was a statistically significant increase in HER3 expression post neoadjuvant therapy, while there was no significant change in HER3 expression in a ER +/PR +/HER2+ patient. However, both of these patients showed increased downstream signaling in the PI3K/AKT pathway. One subject with ER +/PR -/HER2- breast cancer and another subject with ER +/PR +/HER2 + breast cancer showed decreased HER3 expression. Transcriptomic findings, revealed an immune suppressive environment in patients with decreased HER3 expression post therapy. CONCLUSION This study demonstrates variable HER3 expression across breast cancer subtypes. HER3 expression can be assessed early, post-neoadjuvant therapy, providing valuable insight into cancer biology and potentially serving as a prognostic biomarker. Clinical translation of neoadjuvant therapy assessment can be achieved using HER3 PET imaging, offering real-time information on tumor biology and guiding personalized treatment for breast cancer patients.
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Affiliation(s)
- Nicoleta Sinevici
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA
| | - Christine E Edmonds
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA
| | - Brian N Dontchos
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA
| | - Gary Wang
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA
| | - Constance D Lehman
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA
| | - Steven Isakoff
- Department of Hematology and Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Umar Mahmood
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th Street, Boston, MA, USA.
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108
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Liu S, Amgad M, More D, Rathore MA, Salgado R, Cooper LAD. A panoptic segmentation dataset and deep-learning approach for explainable scoring of tumor-infiltrating lymphocytes. NPJ Breast Cancer 2024; 10:52. [PMID: 38942745 PMCID: PMC11213912 DOI: 10.1038/s41523-024-00663-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 06/17/2024] [Indexed: 06/30/2024] Open
Abstract
Tumor-Infiltrating Lymphocytes (TILs) have strong prognostic and predictive value in breast cancer, but their visual assessment is subjective. To improve reproducibility, the International Immuno-oncology Working Group recently released recommendations for the computational assessment of TILs that build on visual scoring guidelines. However, existing resources do not adequately address these recommendations due to the lack of annotation datasets that enable joint, panoptic segmentation of tissue regions and cells. Moreover, existing deep-learning methods focus entirely on either tissue segmentation or cell nuclei detection, which complicates the process of TILs assessment by necessitating the use of multiple models and reconciling inconsistent predictions. We introduce PanopTILs, a region and cell-level annotation dataset containing 814,886 nuclei from 151 patients, openly accessible at: sites.google.com/view/panoptils . Using PanopTILs we developed MuTILs, a neural network optimized for assessing TILs in accordance with clinical recommendations. MuTILs is a concept bottleneck model designed to be interpretable and to encourage sensible predictions at multiple resolutions. Using a rigorous internal-external cross-validation procedure, MuTILs achieves an AUROC of 0.93 for lymphocyte detection and a DICE coefficient of 0.81 for tumor-associated stroma segmentation. Our computational score closely matched visual scores from 2 pathologists (Spearman R = 0.58-0.61, p < 0.001). Moreover, computational TILs scores had a higher prognostic value than visual scores, independent of TNM stage and patient age. In conclusion, we introduce a comprehensive open data resource and a modeling approach for detailed mapping of the breast tumor microenvironment.
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Affiliation(s)
- Shangke Liu
- Department of Pathology, Northwestern University, Chicago, IL, USA
| | - Mohamed Amgad
- Department of Pathology, Northwestern University, Chicago, IL, USA.
| | - Deeptej More
- Department of Pathology, Northwestern University, Chicago, IL, USA
| | | | - Roberto Salgado
- Department of Pathology, GZA-ZNA Ziekenhuizen, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Lee A D Cooper
- Department of Pathology, Northwestern University, Chicago, IL, USA.
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109
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Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, Dauch C, Neuhausen SL, Ziv E, Sotelo N, Ghanekar S, Meadows O, Paredes M, Gillespie JL, Aeilts AM, Hampel H, Zheng W, Jia G, Hu Q, Wei L, Liu S, Ambrosone CB, Palmer JR, Carpten JD, Yao S, Stevens P, Ho WK, Pan JW, Fadda P, Huo D, Teo SH, McElroy JP, Toland AE. Association of ESR1 Germline Variants with TP53 Somatic Variants in Breast Tumors in a Genome-wide Study. CANCER RESEARCH COMMUNICATIONS 2024; 4:1597-1608. [PMID: 38836758 PMCID: PMC11210444 DOI: 10.1158/2767-9764.crc-24-0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/16/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024]
Abstract
In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. A genome-wide association study was conducted in 2,850 women of European ancestry with breast cancer using TP53 and PIK3CA mutation status (positive or negative) as well as specific functional categories [e.g., TP53 gain-of-function (GOF) and loss-of-function, PIK3CA activating] as phenotypes. Germline variants showing evidence of association were selected for validation analyses and tested in multiple independent datasets. Discovery association analyses found five variants associated with TP53 mutation status with P values <1 × 10-6 and 33 variants with P values <1 × 10-5. Forty-four variants were associated with PIK3CA mutation status with P values <1 × 10-5. In validation analyses, only variants at the ESR1 locus were associated with TP53 mutation status after multiple comparisons corrections. Combined analyses in European and Malaysian populations found ESR1 locus variants rs9383938 and rs9479090 associated with the presence of TP53 mutations overall (P values 2 × 10-11 and 4.6 × 10-10, respectively). rs9383938 also showed association with TP53 GOF mutations (P value 6.1 × 10-7). rs9479090 showed suggestive evidence (P value 0.02) for association with TP53 mutation status in African ancestry populations. No other variants were significantly associated with TP53 or PIK3CA mutation status. Larger studies are needed to confirm these findings and determine if additional variants contribute to ancestry-specific differences in mutation frequency. SIGNIFICANCE Emerging data show ancestry-specific differences in TP53 and PIK3CA mutation frequency in breast tumors suggesting that germline variants may influence somatic mutational processes. This study identified variants near ESR1 associated with TP53 mutation status and identified additional loci with suggestive association which may provide biological insight into observed differences.
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Affiliation(s)
- Nijole P. Tjader
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Abigail J. Beer
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Johnny Ramroop
- The City College of New York, City University of New York, New York, New York
| | - Mei-Chee Tai
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Jie Ping
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Tanish Gandhi
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Medical School, Columbus, Ohio
| | - Cara Dauch
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Wexner Medical Center, Clinical Trials Office, Columbus, Ohio
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California
- Department of Medicine, University of California, San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Nereida Sotelo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Shreya Ghanekar
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Owen Meadows
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
| | - Monica Paredes
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
| | | | - Amber M. Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, Ohio
| | - Heather Hampel
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Guochong Jia
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Lei Wei
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Christine B. Ambrosone
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - John D. Carpten
- City of Hope Comprehensive Cancer Center, Duarte, California
- Department of Integrative Translational Sciences, City of Hope, Duarte, California
| | - Song Yao
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Patrick Stevens
- Bioinformatics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Weang-Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia
| | - Jia Wern Pan
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Paolo Fadda
- Genomics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur, Malaysia
| | - Joseph Paul McElroy
- Department of Biomedical Informatics, The Ohio State University Center for Biostatistics, Columbus, Ohio
| | - Amanda E. Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, Ohio
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Rukhlenko OS, Imoto H, Tambde A, McGillycuddy A, Junk P, Tuliakova A, Kolch W, Kholodenko BN. Cell State Transition Models Stratify Breast Cancer Cell Phenotypes and Reveal New Therapeutic Targets. Cancers (Basel) 2024; 16:2354. [PMID: 39001416 PMCID: PMC11240448 DOI: 10.3390/cancers16132354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/17/2024] [Accepted: 06/23/2024] [Indexed: 07/16/2024] Open
Abstract
Understanding signaling patterns of transformation and controlling cell phenotypes is a challenge of current biology. Here we applied a cell State Transition Assessment and Regulation (cSTAR) approach to a perturbation dataset of single cell phosphoproteomic patterns of multiple breast cancer (BC) and normal breast tissue-derived cell lines. Following a separation of luminal, basal, and normal cell states, we identified signaling nodes within core control networks, delineated causal connections, and determined the primary drivers underlying oncogenic transformation and transitions across distinct BC subtypes. Whereas cell lines within the same BC subtype have different mutational and expression profiles, the architecture of the core network was similar for all luminal BC cells, and mTOR was a main oncogenic driver. In contrast, core networks of basal BC were heterogeneous and segregated into roughly four major subclasses with distinct oncogenic and BC subtype drivers. Likewise, normal breast tissue cells were separated into two different subclasses. Based on the data and quantified network topologies, we derived mechanistic cSTAR models that serve as digital cell twins and allow the deliberate control of cell movements within a Waddington landscape across different cell states. These cSTAR models suggested strategies of normalizing phosphorylation networks of BC cell lines using small molecule inhibitors.
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Affiliation(s)
- Oleksii S Rukhlenko
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Hiroaki Imoto
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Ayush Tambde
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
- Stratford College, D06 T9V3 Dublin, Ireland
| | - Amy McGillycuddy
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
- School of Biological, Health and Sports Sciences, Technological University, D07 H6K8 Dublin, Ireland
| | - Philipp Junk
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Anna Tuliakova
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Walter Kolch
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Boris N Kholodenko
- Systems Biology Ireland, School of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin, Ireland
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT 06520, USA
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111
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Moein A, Jin JY, Wright MR, Wong H. Quantitative characterization of the effects of fulvestrant alone or in combination with taselisib (PI3Kinase inhibitor) on longitudinal tumor growth in patients with estrogen receptor-positive, HER2-negative, PIK3CA-mutant, advanced or metastatic breast cancer. Cancer Chemother Pharmacol 2024:10.1007/s00280-024-04690-4. [PMID: 38937298 DOI: 10.1007/s00280-024-04690-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 06/14/2024] [Indexed: 06/29/2024]
Abstract
PURPOSE Among cases of breast cancer, estrogen receptor-positive (ER +), PIK3CA-mutant, HER2- advanced breast cancer stands as a particularly complex clinical indication where approximately 40% of ER + /HER2- breast carcinomas present mutations in the PIK3CA gene. A significant hurdle in treating ER + breast cancer lies in surmounting the challenges of endocrine resistance. In the clinical setting, a multifaceted approach is essential for this indication, one that not only explores the effectiveness of individual treatments but also delves into the potential gains in therapeutic outcome from combination therapies. METHODS In the current study, longitudinal tumor growth inhibition (TGI) models were developed to characterize tumor response over time in postmenopausal women with ER + /HER2- advanced or metastatic breast cancer undergoing treatment with fulvestrant alone or in combination with the PI3K inhibitor, taselisib. Impact of clinically relevant covariates on TGI metrics was assessed to identify patient subsets most likely to benefit from treatment with fulvestrant monotherapy or combination with taselisib. RESULTS Tumor growth rate constant (Kg) was found to increase with increasing baseline tumor size and in the absence of baseline endocrine sensitivity. Further, Kg decreased in the absence of baseline liver metastases both in fulvestrant monotherapy and combination therapy with taselisib. Overall, additive/potentially synergistic anti-tumor effects were observed in patients treated with the taselisib-fulvestrant combination. CONCLUSION These results have important implications for understanding the therapeutic impact of combination treatment approaches and individualized responses to these treatments. Finally, this work, emphasizes the importance of model informed drug development for targeted cancer therapy. CLINICAL TRIAL REGISTRATION NCT02340221 Registered January 16, 2015, NCT01296555 Registered February 14, 2011.
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Affiliation(s)
- Anita Moein
- Faculty of Pharmaceutical Sciences, The University of British Columbia, Office 5505, Pharmaceutical Sciences Building, Vancouver, BC, Canada
- Genentech, Inc., South San Francisco, CA, USA
| | - Jin Y Jin
- Genentech, Inc., South San Francisco, CA, USA
| | | | - Harvey Wong
- Faculty of Pharmaceutical Sciences, The University of British Columbia, Office 5505, Pharmaceutical Sciences Building, Vancouver, BC, Canada.
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Wu M, Wang S, Yuan K, Xiong B, Li Y, Lyu S. Alteration of the immune microenvironment in the axillary metastatic lymph nodes of luminal A breast cancer patients. World J Surg Oncol 2024; 22:172. [PMID: 38937736 PMCID: PMC11210032 DOI: 10.1186/s12957-024-03454-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 06/16/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND The alteration of the immune microenvironment in the axillary metastatic lymph nodes of luminal A breast cancer patients is still unclear. METHODS Postsurgical tissues from the enrolled luminal A BCs were divided into five categories: primary BC lesion at stage N0 (PL1), primary BC lesion at stage N1 (PL2), negative axillary lymph node at stage N0 BC (LN1), negative axillary lymph node at stage N1 BC (LN2), and positive axillary lymph node at stage N1 BC (LN3). The frequencies of positive immune markers (CD4, CD8, PD1, PD-L1, T-cell immunoglobulin and mucin domain 3 (TIM3), and forkhead box protein 3 (Foxp3)) in the above tissues were quantified by AKOYA Opal Polaris 7 Color Manual IHC Detection Kit. RESULTS A total of 50 female patients with luminal A BC were enrolled in this study. Among these patients, 23 had stage N1 disease, and 27 had stage N0 disease. Compared with that in the PL2 subgroup, the frequency of PD-1-positive cells was significantly greater in the PL1 subgroup, whether at the stromal or intratumoral level (P value < 0.05). Both the frequency of CD8 + T cells in LN1 and that in LN2 were significantly greater than that in LN3 (P value < 0.05). The frequency of TIM3 + T cells in LN1 was significantly greater than that in PL1 (P value < 0.05). The frequency of CD8 + TIM3 + T cells was significantly greater in both the LN2 and LN3 groups than in the PL2 group (P value < 0.05). The frequency of CD4 + Foxp3 + T cells was significantly greater in LN1 than in PL1 (P value < 0.05), which was the same for both LN3 and PL2 (P value < 0.05). CONCLUSION Increased frequencies of CD8 + PD1+, CD8 + TIM3 + and CD4 + Foxp3 + T cells might inhibit the immune microenvironment of axillary metastatic lymph nodes in luminal A breast cancer patients and subsequently promote lymph node metastasis.
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Affiliation(s)
- Min Wu
- Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Haidian District, Beijing, 100038, China
| | - Shuo Wang
- Department of Medical Oncology, Beijing Key Laboratory for Therapeutic Cancer Vaccines, Capital Medical University Cancer Center, Beijing Shijitan Hospital, Beijing, 100038, China
| | - Keyu Yuan
- Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Haidian District, Beijing, 100038, China
| | - Bingjun Xiong
- Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Haidian District, Beijing, 100038, China
| | - Yanping Li
- Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Haidian District, Beijing, 100038, China
| | - Shuzhen Lyu
- Department of Breast Surgery, Beijing Shijitan Hospital, Capital Medical University, Tieyi Road 10, Haidian District, Beijing, 100038, China.
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McCarthy AM, Ehsan S, Hughes KS, Lehman CD, Conant EF, Kontos D, Armstrong K, Chen J. Feasibility of risk assessment for breast cancer molecular subtypes. Breast Cancer Res Treat 2024:10.1007/s10549-024-07404-9. [PMID: 38916820 DOI: 10.1007/s10549-024-07404-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 06/09/2024] [Indexed: 06/26/2024]
Abstract
PURPOSE Few breast cancer risk assessment models account for the risk profiles of different tumor subtypes. This study evaluated whether a subtype-specific approach improves discrimination. METHODS Among 3389 women who had a screening mammogram and were later diagnosed with invasive breast cancer we performed multinomial logistic regression with tumor subtype as the outcome and known breast cancer risk factors as predictors. Tumor subtypes were defined by expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) based on immunohistochemistry. Discrimination was assessed with the area under the receiver operating curve (AUC). Absolute risk of each subtype was estimated by proportioning Gail absolute risk estimates by the predicted probabilities for each subtype. We then compared risk factor distributions for women in the highest deciles of risk for each subtype. RESULTS There were 3,073 ER/PR+ HER2 - , 340 ER/PR +HER2 + , 126 ER/PR-ER2+, and 300 triple-negative breast cancers (TNBC). Discrimination differed by subtype; ER/PR-HER2+ (AUC: 0.64, 95% CI 0.59, 0.69) and TNBC (AUC: 0.64, 95% CI 0.61, 0.68) had better discrimination than ER/PR+HER2+ (AUC: 0.61, 95% CI 0.58, 0.64). Compared to other subtypes, patients at high absolute risk of TNBC were younger, mostly Black, had no family history of breast cancer, and higher BMI. Those at high absolute risk of HER2+ cancers were younger and had lower BMI. CONCLUSION Our study provides proof of concept that stratifying risk prediction for breast cancer subtypes may enable identification of patients with unique profiles conferring increased risk for tumor subtypes.
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Affiliation(s)
- Anne Marie McCarthy
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Blockley Hall, Room 833, 423 Guardian Drive, Philadelphia, PA, 19104, USA.
| | - Sarah Ehsan
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Blockley Hall, Room 833, 423 Guardian Drive, Philadelphia, PA, 19104, USA
| | - Kevin S Hughes
- Department of Surgery, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Constance D Lehman
- Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Emily F Conant
- Department of Radiology, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Despina Kontos
- Columbia University Irving Medical Center, New York, NY, USA
| | | | - Jinbo Chen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Blockley Hall, Room 833, 423 Guardian Drive, Philadelphia, PA, 19104, USA
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Nicotra R, Lutz C, Messal HA, Jonkers J. Rat Models of Hormone Receptor-Positive Breast Cancer. J Mammary Gland Biol Neoplasia 2024; 29:12. [PMID: 38913216 PMCID: PMC11196369 DOI: 10.1007/s10911-024-09566-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 06/07/2024] [Indexed: 06/25/2024] Open
Abstract
Hormone receptor-positive (HR+) breast cancer (BC) is the most common type of breast cancer among women worldwide, accounting for 70-80% of all invasive cases. Patients with HR+ BC are commonly treated with endocrine therapy, but intrinsic or acquired resistance is a frequent problem, making HR+ BC a focal point of intense research. Despite this, the malignancy still lacks adequate in vitro and in vivo models for the study of its initiation and progression as well as response and resistance to endocrine therapy. No mouse models that fully mimic the human disease are available, however rat mammary tumor models pose a promising alternative to overcome this limitation. Compared to mice, rats are more similar to humans in terms of mammary gland architecture, ductal origin of neoplastic lesions and hormone dependency status. Moreover, rats can develop spontaneous or induced mammary tumors that resemble human HR+ BC. To date, six different types of rat models of HR+ BC have been established. These include the spontaneous, carcinogen-induced, transplantation, hormone-induced, radiation-induced and genetically engineered rat mammary tumor models. Each model has distinct advantages, disadvantages and utility for studying HR+ BC. This review provides a comprehensive overview of all published models to date.
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Affiliation(s)
- Raquel Nicotra
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- Oncode Institute, Amsterdam, Netherlands
| | - Catrin Lutz
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
| | - Hendrik A Messal
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
| | - Jos Jonkers
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, Netherlands.
- Oncode Institute, Amsterdam, Netherlands.
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Wang X, Li Y, Qi Z. Light-Enhanced Tandem-Responsive Nano Delivery Platform for Amplified Anti-tumor Efficiency. Chem Asian J 2024:e202400311. [PMID: 38924357 DOI: 10.1002/asia.202400311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 06/23/2024] [Accepted: 06/24/2024] [Indexed: 06/28/2024]
Abstract
Designing nanomedicines with low toxicity, high targeting, excellent therapeutic effects, and precise release is always the major challenges in clinical cancer treatment. Here, we report a light-enhanced tandem-responsive nano delivery platform COF-B@X-03 for amplified anti-tumor efficiency. Biotin-loaded COF-B@X-03 could precisely target tumor cells, and the azo and hydrazone bonds in it would be depolymerized by the overexpressed azoreductase and acidic microenvironment in hypoxic tumors. In vitro experimental results indicate mitochondrial and endoplasmic reticulum stress caused by COF-B@X-03 under light is the direct cause of tumor cell death. In vivo experimental data prove COF-B@X-03 achieves low oxygen dependent phototherapy, and the maintenance of intratumoral hypoxia provides the possibility for the continuous degradation of COF-B@X-03 to generate more reactive oxygen species for tumor photodynamic therapy by released X-03. In the end, COF-B@X-03 phototherapy group achieves higher tumor inhibition rate than X-03 phototherapy group, which is 81.37 %. Meanwhile, COF-B@X-03 significantly eliminates the risk of tumor metastasis. In summary, the construction of this tandem-responsive nano delivery platform provides a new direction for achieving efficient removal of solid tumors in clinical practice.
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Affiliation(s)
- Xing Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Yuanhang Li
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Zhengjian Qi
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
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Mills J, Tessari A, Anastas V, Kumar DS, Rad NS, Lamba S, Cosentini I, Reers A, Zhu Z, Miles WO, Coppola V, Cocucci E, Magliery TJ, Shive H, Davies AE, Rizzotto L, Croce CM, Palmieri D. Nucleolin acute degradation reveals novel functions in cell cycle progression and division in TNBC. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.17.599429. [PMID: 38948867 PMCID: PMC11212942 DOI: 10.1101/2024.06.17.599429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Nucleoli are large nuclear sub-compartments where vital processes, such as ribosome assembly, take place. Technical obstacles still limit our understanding of the biological functions of nucleolar proteins in cell homeostasis and cancer pathogenesis. Since most nucleolar proteins are essential, their abrogation cannot be achieved through conventional approaches. Additionally, the biological activities of many nucleolar proteins are connected to their physiological concentration. Thus, artificial overexpression might not fully recapitulate their endogenous functions. Proteolysis-based approaches, such as the Auxin Inducible Degron (AID) system paired with CRISPR/Cas9 knock-in gene-editing, have the potential to overcome these limitations, providing unprecedented characterization of the biological activities of endogenous nucleolar proteins. We applied this system to endogenous nucleolin (NCL), one of the most abundant nucleolar proteins, and characterized the impact of its acute depletion on Triple-Negative Breast Cancer (TNBC) cell behavior. Abrogation of endogenous NCL reduced proliferation and caused defective cytokinesis, resulting in bi-nucleated tetraploid cells. Bioinformatic analysis of patient data, and quantitative proteomics using our experimental NCL-depleted model, indicated that NCL levels are correlated with the abundance of proteins involved in chromosomal segregation. In conjunction with its effects on sister chromatid dynamics, NCL abrogation enhanced the anti-proliferative effects of chemical inhibitors of mitotic modulators such as the Anaphase Promoting Complex. In summary, using the AID system in combination with CRISPR/Cas9 for endogenous gene editing, our findings indicate a novel role for NCL in supporting the completion of the cell division in TNBC models, and that its abrogation could enhance the therapeutic activity of mitotic-progression inhibitors.
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Affiliation(s)
- Joseph Mills
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Molecular, Cellular, and Developmental Biology Graduate Program, The Ohio State University, 43210, Columbus, OH, USA
| | - Anna Tessari
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Vollter Anastas
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Graduate School of Biomedical Sciences, Tufts University, 02155, Boston, MA, USA
| | - Damu Sunil Kumar
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Nastaran Samadi Rad
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Biomedical Sciences Graduate Program, The Ohio State University, 43210, Columbus, OH, USA
| | - Saranya Lamba
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Ilaria Cosentini
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Current address: Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Palermo, Italy
| | - Ashley Reers
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Current address: Department of Ecology and Evolutionary Biology, Tulane University, 70118, New Orleans, LA, USA
| | - Zirui Zhu
- Department of Chemistry and Biochemistry, The Ohio State University, 43210, Columbus, OH, USA
- Chemistry Graduate Program, The Ohio State University, 43210, Columbus, OH, USA
| | - Wayne O Miles
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Vincenzo Coppola
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University-James Cancer Hospital and Solove Research Institute, 43210, Columbus, OH, USA
| | - Emanuele Cocucci
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, 43210, Columbus, OH, USA
| | - Thomas J. Magliery
- Department of Chemistry and Biochemistry, The Ohio State University, 43210, Columbus, OH, USA
- Pelotonia Institute for Immuno-Oncology, The Ohio State University-James Cancer Hospital and Solove Research Institute, 43210, Columbus, OH, USA
| | - Heather Shive
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, 43210, Columbus, OH, USA
- Current address: Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Alexander E. Davies
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Department of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, 43210, Columbus, OH, USA
- Current address: Division of Oncological Sciences, Department of Pediatrics, Cancer Early Detection Advanced Research Center, School of Medicine, Oregon Health and Science University, 97239, Portland, OR, USA
| | - Lara Rizzotto
- Gene Editing Shared Resource, The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Carlo M. Croce
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
| | - Dario Palmieri
- Department of Cancer Biology and Genetics, College of Medicine, The Ohio State University, 43210, Columbus, OH, USA
- The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
- Gene Editing Shared Resource, The Ohio State University Wexner Medical Center and Comprehensive Cancer Center, 43210, Columbus, OH, USA
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Nazir SU, Mishra J, Maurya SK, Ziamiavaghi N, Bodas S, Teply BA, Dutta S, Datta K. Deciphering the genetic and epigenetic architecture of prostate cancer. Adv Cancer Res 2024; 161:191-221. [PMID: 39032950 DOI: 10.1016/bs.acr.2024.06.001] [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] [Indexed: 07/23/2024]
Abstract
Prostate cancer, one of the most frequently diagnosed cancers in men, leads to significant mortality worldwide. Its study is important due to the complexity and diversity in its progression, highlighting the urgent need for improved therapeutic strategies. This chapter probes into the genetic and epigenetic factors influencing prostate cancer progression, underscoring the importance of understanding the disease's molecular fundamentals for the development of targeted therapies. It specifically reviews the role of key genetic mutations in genes such as Androgen Receptor, TP53, SPOP, FOXA1 and PTEN which are crucial for the disease onset and a progression. Furthermore, it examines the impact of epigenetic modifications, including DNA methylation and histone modification, which contribute to the cancer's progression by affecting gene expression and cellular behavior. Further, in this chapter we delve into the underlying signaling mechanism, the advancements in targeting genetic and epigenetic alterations in prostate cancer. These findings have revealed promising targets for therapeutic advancements, aiming to understand and identify promising avenues for future therapies. This chapter improves our current understanding of prostate cancer genetic and epigenetic landscape, emphasizing the necessity of advancing our knowledge to refine and expand treatment options for prostate cancer patients.
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Affiliation(s)
- Sheeraz Un Nazir
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Juhi Mishra
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Shailendra Kumar Maurya
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Negin Ziamiavaghi
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Sanika Bodas
- Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States
| | - Benjamin A Teply
- Internal Medicine, Division of Oncology & Hematology, University of Nebraska Medical Center, Omaha, NE, United States
| | - Samikshan Dutta
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Kaustubh Datta
- Department of Biochemistry and Molecular Biology, Massy Cancer Center, Virginia Commonwealth University, Richmond, VA, United States.
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Sun H, Shami Shah A, Chiu DC, Bonfini A, Buchon N, Baskin JM. Wnt/β-catenin signaling within multiple cell types dependent upon kramer regulates Drosophila intestinal stem cell proliferation. iScience 2024; 27:110113. [PMID: 38952681 PMCID: PMC11215309 DOI: 10.1016/j.isci.2024.110113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/08/2024] [Accepted: 05/23/2024] [Indexed: 07/03/2024] Open
Abstract
The gut epithelium is subject to constant renewal, a process reliant upon intestinal stem cell (ISC) proliferation that is driven by Wnt/β-catenin signaling. Despite the importance of Wnt signaling within ISCs, the relevance of Wnt signaling within other gut cell types and the underlying mechanisms that modulate Wnt signaling in these contexts remain incompletely understood. Using challenge of the Drosophila midgut with a non-lethal enteric pathogen, we examine the cellular determinants of ISC proliferation, harnessing kramer, a recently identified regulator of Wnt signaling pathways, as a mechanistic tool. We find that Wnt signaling within Prospero-positive cells supports ISC proliferation and that kramer regulates Wnt signaling in this context by antagonizing kelch, a Cullin-3 E3 ligase adaptor that mediates Dishevelled polyubiquitination. This work establishes kramer as a physiological regulator of Wnt/β-catenin signaling in vivo and suggests enteroendocrine cells as a new cell type that regulates ISC proliferation via Wnt/β-catenin signaling.
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Affiliation(s)
- Hongyan Sun
- Weill Institute for Cell & Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Adnan Shami Shah
- Weill Institute for Cell & Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Department of Chemistry & Chemical Biology, Cornell University, Ithaca, NY 14853, USA
| | - Din-Chi Chiu
- Weill Institute for Cell & Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Department of Chemistry & Chemical Biology, Cornell University, Ithaca, NY 14853, USA
| | - Alessandro Bonfini
- Cornell Institute of Host Microbe Interactions and Disease, Department of Entomology, Cornell University, Ithaca, NY 14853, USA
- Zhejiang University-University of Edinburgh Institute, Zhejiang University School of Medicine, Zhejiang University, Haining 314400, P.R. China
- Edinburgh Medical School: Biomedical Sciences, College of Medicine and Veterinary Medicine, The University of Edinburgh, Edinburgh, UK
| | - Nicolas Buchon
- Cornell Institute of Host Microbe Interactions and Disease, Department of Entomology, Cornell University, Ithaca, NY 14853, USA
| | - Jeremy M. Baskin
- Weill Institute for Cell & Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Department of Chemistry & Chemical Biology, Cornell University, Ithaca, NY 14853, USA
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Carey-Smith SL, Kotecha RS, Cheung LC, Malinge S. Insights into the Clinical, Biological and Therapeutic Impact of Copy Number Alteration in Cancer. Int J Mol Sci 2024; 25:6815. [PMID: 38999925 PMCID: PMC11241182 DOI: 10.3390/ijms25136815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 07/14/2024] Open
Abstract
Copy number alterations (CNAs), resulting from the gain or loss of genetic material from as little as 50 base pairs or as big as entire chromosome(s), have been associated with many congenital diseases, de novo syndromes and cancer. It is established that CNAs disturb the dosage of genomic regions including enhancers/promoters, long non-coding RNA and gene(s) among others, ultimately leading to an altered balance of key cellular functions. In cancer, CNAs have been associated with almost all steps of the disease: predisposition, initiation, development, maintenance, response to treatment, resistance, and relapse. Therefore, understanding how specific CNAs contribute to tumourigenesis may provide prognostic insight and ultimately lead to the development of new therapeutic approaches to improve patient outcomes. In this review, we provide a snapshot of what is currently known about CNAs and cancer, incorporating topics regarding their detection, clinical impact, origin, and nature, and discuss the integration of innovative genetic engineering strategies, to highlight the potential for targeting CNAs using novel, dosage-sensitive and less toxic therapies for CNA-driven cancer.
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Affiliation(s)
- Shannon L. Carey-Smith
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA 6009, Australia; (S.L.C.-S.); (R.S.K.); (L.C.C.)
- Curtin Medical School, Curtin University, Perth, WA 6102, Australia
| | - Rishi S. Kotecha
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA 6009, Australia; (S.L.C.-S.); (R.S.K.); (L.C.C.)
- Curtin Medical School, Curtin University, Perth, WA 6102, Australia
- Department of Clinical Haematology, Oncology, Blood and Marrow Transplantation, Perth Children’s Hospital, Perth, WA 6009, Australia
- UWA Medical School, University of Western Australia, Perth, WA 6009, Australia
| | - Laurence C. Cheung
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA 6009, Australia; (S.L.C.-S.); (R.S.K.); (L.C.C.)
- Curtin Medical School, Curtin University, Perth, WA 6102, Australia
- Curtin Health Innovation Research Institute, Curtin University, Perth, WA 6102, Australia
| | - Sébastien Malinge
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA 6009, Australia; (S.L.C.-S.); (R.S.K.); (L.C.C.)
- Curtin Medical School, Curtin University, Perth, WA 6102, Australia
- UWA Medical School, University of Western Australia, Perth, WA 6009, Australia
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Li Y, Van Alsten SC, Lee DN, Kim T, Calhoun BC, Perou CM, Wobker SE, Marron JS, Hoadley KA, Troester MA. Visual Intratumor Heterogeneity and Breast Tumor Progression. Cancers (Basel) 2024; 16:2294. [PMID: 39001357 PMCID: PMC11240824 DOI: 10.3390/cancers16132294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/13/2024] [Accepted: 06/18/2024] [Indexed: 07/16/2024] Open
Abstract
High intratumoral heterogeneity is thought to be a poor prognostic indicator. However, the source of heterogeneity may also be important, as genomic heterogeneity is not always reflected in histologic or 'visual' heterogeneity. We aimed to develop a predictor of histologic heterogeneity and evaluate its association with outcomes and molecular heterogeneity. We used VGG16 to train an image classifier to identify unique, patient-specific visual features in 1655 breast tumors (5907 core images) from the Carolina Breast Cancer Study (CBCS). Extracted features for images, as well as the epithelial and stromal image components, were hierarchically clustered, and visual heterogeneity was defined as a greater distance between images from the same patient. We assessed the association between visual heterogeneity, clinical features, and DNA-based molecular heterogeneity using generalized linear models, and we used Cox models to estimate the association between visual heterogeneity and tumor recurrence. Basal-like and ER-negative tumors were more likely to have low visual heterogeneity, as were the tumors from younger and Black women. Less heterogeneous tumors had a higher risk of recurrence (hazard ratio = 1.62, 95% confidence interval = 1.22-2.16), and were more likely to come from patients whose tumors were comprised of only one subclone or had a TP53 mutation. Associations were similar regardless of whether the image was based on stroma, epithelium, or both. Histologic heterogeneity adds complementary information to commonly used molecular indicators, with low heterogeneity predicting worse outcomes. Future work integrating multiple sources of heterogeneity may provide a more comprehensive understanding of tumor progression.
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Affiliation(s)
- Yao Li
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sarah C Van Alsten
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Dong Neuck Lee
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Taebin Kim
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Benjamin C Calhoun
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Charles M Perou
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sara E Wobker
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - J S Marron
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Katherine A Hoadley
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Zeng J, Ball E, Zhou X, Zong H. Protocol for integrating tissue clearing and light-sheet imaging to analyze cancer initiation in mosaic analysis with double markers mouse models. STAR Protoc 2024; 5:103092. [PMID: 38796848 PMCID: PMC11152722 DOI: 10.1016/j.xpro.2024.103092] [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: 01/23/2024] [Revised: 04/16/2024] [Accepted: 05/06/2024] [Indexed: 05/29/2024] Open
Abstract
Mosaic analysis with double markers (MADM) mouse models closely mimic the clonal origin of human cancers by generating sporadic, GFP-labeled cancer-initiating cells. Traditional clonal analysis pipelines are labor intensive, hindering throughput and disrupting the 3D architecture. Here, we present a protocol that integrates tissue clearing and light-sheet imaging to analyze pre-malignant clones in whole-mount MADM-labeled tissues. We describe steps for generating mosaic-labeled cancer mouse models, tissue harvesting, fixation, and clearing. We then detail procedures for light-sheet imaging and clonal size analysis. For complete details on the use and execution of this protocol, please refer to Zeng et al.1,2.
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Affiliation(s)
- Jianhao Zeng
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA.
| | - Elaina Ball
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Xian Zhou
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA
| | - Hui Zong
- Department of Microbiology, Immunology, and Cancer Biology, University of Virginia Health System, Charlottesville, VA 22908, USA; University of Virginia Cancer Center, University of Virginia Health System, Charlottesville, VA 22903, USA.
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Markalunas EG, Arnold DH, Funkhouser AT, Martin JC, Shtutman M, Edenfield WJ, Blenda AV. Correlation Analysis of Genetic Mutations and Galectin Levels in Breast Cancer Patients. Genes (Basel) 2024; 15:818. [PMID: 38927753 PMCID: PMC11203217 DOI: 10.3390/genes15060818] [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: 04/27/2024] [Revised: 06/05/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
Galectins are innate immune system regulators associated with disease progression in cancer. This paper aims to investigate the correlation between mutated cancer-critical genes and galectin levels in breast cancer patients to determine whether galectins and genetic profiles can be used as biomarkers for disease and potential therapy targets. Prisma Health Cancer Institute's Biorepository provided seventy-one breast cancer samples, including all four stages spanning the major molecular subtypes and histologies. Hotspot mutation statuses of cancer-critical genes were determined using multiplex PCR in tumor samples from the same patients by Precision Genetics and the University of South Carolina Functional Genomics Core Facility. The galectin-1, -3, and -9 levels in patients' sera were analyzed using Enzyme-linked Immunosorbent Assay (ELISA). An analysis was performed using JMP software to compare mean and median serum galectin levels between samples with and without specific cancer-critical genes, including pooled t-test, Wilcoxon Rank Sum Test, ANOVA, and Steel Dwass Test (α=0.05). Our analysis indicates that KIT mutations correlate with elevated serum levels of galectin-9 in patients with breast cancer. In patients with Luminal A subtype, FLT3 mutation correlates with lower serum galectin-1 and -9 levels and TP53 mutations correlate with higher serum galectin-3 levels. Patients with invasive ductal carcinoma had significantly higher serum galectin-3 levels than patients with ductal carcinoma in situ. Patients with both TP53 and PIK3CA mutations exhibit elevated serum galectin-3 levels, while patients with one or neither mutation show no significant difference in serum galectin-3 levels. In addition, metastatic breast cancer samples were more likely to have a KIT or PIK3CA mutation compared to primary breast cancer samples. The relationship between genetic mutations and galectin levels has the potential to identify appropriate candidates for combined therapy, targeting genetic mutations and galectins. Further understanding of the effect of genetic mutations and galectin levels on cancer progression and metastasis could aid in the search for biomarkers for breast cancer diagnosis, disease progression, and prognosis.
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Affiliation(s)
- Ella G. Markalunas
- Department of Public Health, Brown University, Providence, RI 02912, USA;
| | - David H. Arnold
- Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville, Greenville, SC 29605, USA; (D.H.A.); (A.T.F.)
| | - Avery T. Funkhouser
- Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville, Greenville, SC 29605, USA; (D.H.A.); (A.T.F.)
| | - Julie C. Martin
- Prisma Health Cancer Institute, Prisma Health, Greenville, SC 29605, USA; (J.C.M.); (W.J.E.)
| | - Michael Shtutman
- Department of Drug Discovery and Biomedical Sciences, University of South Carolina College of Pharmacy, Columbia, SC 29208, USA;
| | - W. Jeffery Edenfield
- Prisma Health Cancer Institute, Prisma Health, Greenville, SC 29605, USA; (J.C.M.); (W.J.E.)
- Department of Medicine, University of South Carolina School of Medicine Greenville, Greenville, SC 29605, USA
| | - Anna V. Blenda
- Department of Biomedical Sciences, University of South Carolina School of Medicine Greenville, Greenville, SC 29605, USA; (D.H.A.); (A.T.F.)
- Prisma Health Cancer Institute, Prisma Health, Greenville, SC 29605, USA; (J.C.M.); (W.J.E.)
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El-Sayed MM, Bianco JR, Li Y, Fabian Z. Tumor-Agnostic Therapy-The Final Step Forward in the Cure for Human Neoplasms? Cells 2024; 13:1071. [PMID: 38920700 PMCID: PMC11201516 DOI: 10.3390/cells13121071] [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: 05/01/2024] [Revised: 06/17/2024] [Accepted: 06/18/2024] [Indexed: 06/27/2024] Open
Abstract
Cancer accounted for 10 million deaths in 2020, nearly one in every six deaths annually. Despite advancements, the contemporary clinical management of human neoplasms faces a number of challenges. Surgical removal of tumor tissues is often not possible technically, while radiation and chemotherapy pose the risk of damaging healthy cells, tissues, and organs, presenting complex clinical challenges. These require a paradigm shift in developing new therapeutic modalities moving towards a more personalized and targeted approach. The tumor-agnostic philosophy, one of these new modalities, focuses on characteristic molecular signatures of transformed cells independently of their traditional histopathological classification. These include commonly occurring DNA aberrations in cancer cells, shared metabolic features of their homeostasis or immune evasion measures of the tumor tissues. The first dedicated, FDA-approved tumor-agnostic agent's profound progression-free survival of 78% in mismatch repair-deficient colorectal cancer paved the way for the accelerated FDA approvals of novel tumor-agnostic therapeutic compounds. Here, we review the historical background, current status, and future perspectives of this new era of clinical oncology.
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Affiliation(s)
| | | | | | - Zsolt Fabian
- School of Medicine and Dentistry, Faculty of Clinical and Biomedical Sciences, University of Central Lancashire, Preston PR1 2HE, UK; (M.M.E.-S.); (J.R.B.); (Y.L.)
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124
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Quan S, Huang H. Epigenetic contribution to cancer. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2024; 387:1-25. [PMID: 39179345 DOI: 10.1016/bs.ircmb.2024.05.003] [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: 08/26/2024]
Abstract
Epigenetics has transformed our understanding of cancer by revealing how changes in gene activity, which do not alter the DNA itself, can initiate and progress the disease. These changes include adjustments in DNA methylation, histone configuration, and non-coding RNA activity. For instance, DNA methylation can inactivate genes that typically protect against cancer, leading to broader genomic instability. Histone modifications can alter how tightly DNA is wound, influencing which genes are active or silenced; while non-coding RNAs can interfere with the messages that direct protein production, impacting cancer-related processes. Unlike genetic mutations, which are permanent and irreversible, epigenetic changes provide a malleable target for therapeutic intervention, allowing potentially reversible adjustments to gene expression patterns. This flexibility is essential in the complex landscape of cancer where static genetic solutions may be insufficient. Additionally, epigenetics bridges the gap between genetic predispositions and environmental influences on cancer, offering a comprehensive framework for understanding how lifestyle factors and external exposures impact cancer risk and progression. The integration of epigenetics into cancer research not only enhances our understanding of the disease but also opens innovative avenues for intervention that were previously unexplored in traditional genetic-focused studies. Technologies like advanced sequencing and precise epigenetic modification are paving the way for early cancer detection and more personalized treatment approaches, highlighting the critical role of epigenetics in modern cancer care.
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Affiliation(s)
- Songhua Quan
- Department of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Hao Huang
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
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Rodríguez-Rojas K, Cortes-Reynosa P, Torres-Alamilla P, Rodríguez-Ochoa N, Salazar EP. A novel role of IGFBP5 in the migration, invasion and spheroids formation induced by IGF-I and insulin in MCF-7 breast cancer cells. Breast Cancer Res Treat 2024:10.1007/s10549-024-07397-5. [PMID: 38896333 DOI: 10.1007/s10549-024-07397-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 06/05/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE The insulin-like growth factor (IGF) system includes IGF-I, IGF-II insulin and their membrane receptors. IGF system also includes a family of proteins namely insulin-like growth factor-binding proteins (IGFBPs) composed for six major members (IGFBP-1 to IGFBP6), which capture, transport and prolonging half-life of IGFs. However, it has been described that IGFBPs can also have other functions. METHODS IGFBP5 expression was inhibited by shRNAs, migration was analyzed by scratch-wound assays, invasion assays were performed by the Boyden chamber method, spheroids formation assays were performed on ultra-low attachment surfaces, expression and phosphorylation of proteins were analyzed by Western blot. RESULTS IGFBP5 is a repressor of IGF-IR expression, but it is not a repressor of IR in MCF-7 breast cancer cells. In addition, IGFBP5 is a suppressor of migration and MMP-9 secretion induced by IGF-I and insulin, but it does not regulate invasion in MCF-7 cells. IGFBP5 also is a repressor of MCF-7 spheroids formation. However treatment with 340 nM rescues the inhibitory effect of IGFBP in the MCF-7 spheroids formation. CONCLUSION IGFBP5 regulates IGF-IR expression, migration and MMP-9 secretion induced by IGF-I and/or insulin, and the spheroids formation in MCF-7 breast cancer cells.
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Affiliation(s)
- Karem Rodríguez-Rojas
- Departamento de Biologia Celular. Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Av. IPN # 2508, 07360, Mexico City, Mexico
| | - Pedro Cortes-Reynosa
- Departamento de Biologia Celular. Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Av. IPN # 2508, 07360, Mexico City, Mexico
| | - Pablo Torres-Alamilla
- Departamento de Biologia Celular. Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Av. IPN # 2508, 07360, Mexico City, Mexico
| | - Nínive Rodríguez-Ochoa
- Departamento de Biologia Celular. Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Av. IPN # 2508, 07360, Mexico City, Mexico
| | - Eduardo Perez Salazar
- Departamento de Biologia Celular. Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional, Av. IPN # 2508, 07360, Mexico City, Mexico.
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Browne IM, Okines AFC. Resistance to Targeted Inhibitors of the PI3K/AKT/mTOR Pathway in Advanced Oestrogen-Receptor-Positive Breast Cancer. Cancers (Basel) 2024; 16:2259. [PMID: 38927964 PMCID: PMC11201395 DOI: 10.3390/cancers16122259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
The PI3K/AKT/mTOR signalling pathway is one of the most frequently activated pathways in breast cancer and also plays a central role in the regulation of several physiologic functions. There are major efforts ongoing to exploit precision medicine by developing inhibitors that target the three kinases (PI3K, AKT, and mTOR). Although multiple compounds have been developed, at present, there are just three inhibitors approved to target this pathway in patients with advanced ER-positive, HER2-negative breast cancer: everolimus (mTOR inhibitor), alpelisib (PIK3CA inhibitor), and capivasertib (AKT inhibitor). Like most targeted cancer drugs, resistance poses a major problem in the clinical setting and is a factor that has frequently limited the overall efficacy of these agents. Drug resistance can be categorised into intrinsic or acquired resistance depending on the timeframe it has developed within. Whereas intrinsic resistance exists prior to a specific treatment, acquired resistance is induced by a therapy. The majority of patients with ER-positive, HER2-negative advanced breast cancer will likely be offered an inhibitor of the PI3K/AKT/mTOR pathway at some point in their cancer journey, with the options available depending on the approval criteria in place and the cancer's mutation status. Within this large cohort of patients, it is likely that most will develop resistance at some point, which makes this an area of interest and an unmet need at present. Herein, we review the common mechanisms of resistance to agents that target the PI3K/AKT/mTOR signalling pathway, elaborate on current management approaches, and discuss ongoing clinical trials attempting to mitigate this significant issue. We highlight the need for additional studies into AKT1 inhibitor resistance in particular.
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Austin CA, Seligman B, Shan-Bala S, Kuchel GA, Loh KP, Kistler CE, Batsis JA. Aging precisely: Precision medicine through the lens of an older adult. J Am Geriatr Soc 2024. [PMID: 38888213 DOI: 10.1111/jgs.19036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/08/2024] [Accepted: 05/13/2024] [Indexed: 06/20/2024]
Abstract
Precision medicine presents an opportunity to use novel, data-driven strategies to improve patient care. The field of precision medicine has undergone many advancements over the past few years. It has moved beyond incorporation of individualized genetic risk into medical decision-making to include multiple other factors such as unique social, demographic, behavioral, and clinical characteristics. Geriatric medicine stands to benefit heavily from the integration of precision medicine into its standard practices. Older adults, compared with other populations, have high clinical and biological heterogeneity that can alter the risks and benefits of different approaches to patient care. These factors have not been routinely considered previously by geriatricians. Yet, geriatricians' ability to address older adults' baseline heterogeneity is increasingly recognized as a cornerstone of delivering quality care in a geriatric medical practice. Given the shared focus of individualized decision-making, precision medicine is a natural fit for geriatric medicine. This manuscript provides, via cases and discussion, examples that illustrate how precision medicine can improve the care of our older patients today. We will share specific and existing tools and evidence, and review the existing multilevel barriers to further incorporate and implement these tools into clinical practice. We propose methods to address these barriers and to help realize the full potential of precision medicine for the care of older adults. We conclude with a brief discussion of potential future directions of research of precision medicine in the care of older adults.
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Affiliation(s)
- C Adrian Austin
- Division of Pulmonary and Critical Care Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
- Division of Geriatric Medicine and Center for Aging and Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Benjamin Seligman
- Geriatric Research, Education and Clinical Center, VA Greater Los Angeles Health Care System, Los Angeles, California, USA
- Division of Geriatric Medicine, David Geffen School of Medicine, University of California, Los Angeles, California, USA
| | - Sangeetha Shan-Bala
- Division of Geriatric Medicine, Department of Medicine, Inova Health System, Fairfax Medical Campus, Falls Church, Virginia, USA
| | - George A Kuchel
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Kah Poh Loh
- Division of Hematology/Oncology, Department of Medicine, James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York, USA
| | - Chrissy E Kistler
- Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - John A Batsis
- Division of Geriatric Medicine and Center for Aging and Health, University of North Carolina, Chapel Hill, North Carolina, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
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Keskinkilic M, Semiz HS, Yavuzsen T, Oztop I. Is the percentage of hormone receptor positivity in HR+ HER2-metastatic breast cancer patients receiving CDK 4/6 inhibitor with endocrine therapy predictive and prognostic? Front Oncol 2024; 14:1378563. [PMID: 38957324 PMCID: PMC11217168 DOI: 10.3389/fonc.2024.1378563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 06/03/2024] [Indexed: 07/04/2024] Open
Abstract
Purpose There is no clear information in the literature about the relationship between the efficacy of CDK 4/6i combined with ET and HR positivity. However, we know that the longest overall survival was in the ER-strong positive/PR intermediate or strong positive groups. Therefore, we aimed to investigate CDK4/6i treatments that create positivity in HR. Methods Patients with the diagnosis of HR+/HER2- MBC who were treated with CDK 4/6i and HR >10% were retrospectively evaluated. To analyze the role of HR positivity, ER was moderately positive (10-49%) and ER was strongly positive (50-100%); PR was grouped as moderately positive (10-49%) and PR strongly positive (50-100%). Results Median follow-up of 150 patients included in the study was 15.2 months (95% CI, 2.1-40.9 months). The highest response in the whole group was obtained in the ER-strong positive/PR moderate or strong positive group, and the ER moderate positive/PR moderate or strong group. This was followed by the ER strong positive/PR negative group, and then the ER moderate positive/PR negative group. Although these advantages were not statistically significant, they were numerically higher (ORR: 83.8% vs. 83.3% vs. 77.4% vs. 62.5%, p=0.488, respectively). The highest survival in the whole group was achieved in the ER strong positive/PR moderate or strongly positive group, followed by the ER moderately positive/PR moderate or strongly positive group, the ER strongly positive/PR negative group followed by the ER moderate positive/PR negative group, respectively(p=0.410). However, these advantages were not statistically significant. Conclusion As a result, HR+/HER2- MBC patients receiving CDK 4/6i combined with ET suggest that the percentage of HR positivity may have a predictive and prognostic role.
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Affiliation(s)
- Merve Keskinkilic
- Department of Hematology and Medical Oncology, Emory Winship Cancer Institute, Atlanta, GA, United States
- Department of Medical Oncology, Dokuz Eylul University Faculty of Medicine, Izmir, Türkiye
| | - Huseyin Salih Semiz
- Department of Medical Oncology, Institute of Oncology, Dokuz Eylul University, Izmir, Türkiye
| | - Tugba Yavuzsen
- Department of Medical Oncology, Institute of Oncology, Dokuz Eylul University, Izmir, Türkiye
| | - Ilhan Oztop
- Department of Medical Oncology, Institute of Oncology, Dokuz Eylul University, Izmir, Türkiye
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129
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Wang X, Yang L, Li Y, Wang X, Qi Z. A Long-Retention Cell Membrane-Targeting AIEgen for Boosting Tumor Theranostics. Chem Asian J 2024; 19:e202400305. [PMID: 38651630 DOI: 10.1002/asia.202400305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/17/2024] [Accepted: 04/23/2024] [Indexed: 04/25/2024]
Abstract
Designing and developing photosensitizers with cell membrane specificity is crucial for achieving effective multimodal therapy of tumors compared to other organelles. Here, we designed and screened a photosensitizer CM34 through donor/receptor regulation strategies, and it is able to achieve long-retention cell membrane targeting. It is not only an extremely excellent cell membrane targeted tumor theranostic agent, but also found to be a promising potential immune activator. Specifically, CM34 with a larger intramolecular twist angle is more likely to form larger aggregates in aqueous solutions, and the introduction of cyanide group also enhances its interaction with cell membranes, which were key factors hindering molecular penetration of the cell membrane and prolonging its residence time on the cell membrane, providing conditions for further membrane targeted photodynamic therapy. Furthermore, the efflux of contents caused by cell necrosis directly activates the immune response. In summary, this study realizes to clarify and refine all potential mechanisms of action through density functional theory calculations, photophysical property measurements, and cellular level mechanism exploration, providing a new direction for the clinical development of cell membrane targeted anti-tumor immune activators.
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Affiliation(s)
- Xing Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Li Yang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Yuanhang Li
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Xiaohan Wang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Zhengjian Qi
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
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130
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Wang Y, Li X, Zhang S, Liang L, Xu L, Liu Y, Li T. Analysis of PIK3CA mutations in the primary and recurrent tumors of hormone receptor positive/human epidermal growth factor receptor 2 negative breast cancer. Jpn J Clin Oncol 2024:hyae072. [PMID: 38884134 DOI: 10.1093/jjco/hyae072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 06/02/2024] [Indexed: 06/18/2024] Open
Abstract
OBJECTIVE Our aim was to compare the PIK3CA mutation status in matched primary and recurrent tumors of hormone receptor positive/human epidermal growth factor receptor 2 negative (HR+/HER2-) breast cancer (BC) to gain insight into the optimization of patient selection and detection time for PIK3CA-targeted therapy. METHODS The data were from 3035 patients with BC diagnosed at the Breast Disease Center, Peking University First Hospital, between January 2008 and December 2017. Matched primary and recurrent samples were profiled using amplification-refractory mutation system-polymerase chain reaction covering 11 mutational hotspots in PIK3CA. RESULTS PIK3CA mutations were detected in 54.3% primary tumors and 48.6% corresponding recurrences. PIK3CA mutation was detected in 37.5% cases in the locoregional recurrent group and 40.0% of distant metastasis, without a statistical difference. Besides, PIK3CA mutations were concordant in 88.6% of the matched pairs. For patients treated with neoadjuvant chemotherapy, 100% concordance was observed. However, PIK3CA mutation was neither correlated with clinicopathological features nor associated with clinical outcomes. CONCLUSIONS Mutations in PIK3CA in HR+/HER2- BC generally progressed to recurrent tumors. The high concordance rate of PIK3CA mutation status between primary tumors and corresponding recurrences suggests that the detection of primary tumors could be a substitute approach when recurrent samples are not easily obtainable.
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Affiliation(s)
- Yue Wang
- Department of Pathology, Peking University First Hospital, Beijing 100034, China
| | - Xin Li
- Department of Pathology, Peking University First Hospital, Beijing 100034, China
| | - Shuang Zhang
- Department of Pathology, Peking University First Hospital, Beijing 100034, China
| | - Li Liang
- Department of Pathology, Peking University First Hospital, Beijing 100034, China
| | - Ling Xu
- Breast Disease Center, Peking University First Hospital, Beijing 100034, China
| | - Yinhua Liu
- Breast Disease Center, Peking University First Hospital, Beijing 100034, China
| | - Ting Li
- Department of Pathology, Peking University First Hospital, Beijing 100034, China
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131
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Ma G, Huo B, Shen Y, Zhu X, Cheng C, Li W, Cao W, Li J. Genomic Alterations Correlated to Trastuzumab Resistance and Clinical Outcomes in HER2+/HR- Breast Cancers of Patients Living in Northwestern China. J Cancer 2024; 15:4467-4476. [PMID: 39006074 PMCID: PMC11242333 DOI: 10.7150/jca.84832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Accepted: 05/27/2024] [Indexed: 07/16/2024] Open
Abstract
Anti-HER2 therapy has significantly improved the survival rates of patients with HER2+ breast cancer. However, a subset of these patients eventually experience treatment failure, and the underlying genetic mechanisms remain largely unexplored. This underscores the need to investigate the genomic heterogeneity of HER2+ breast cancer. In this study, we focus on HER2+/HR- breast cancer, as it differs from HER2+/HR+ breast cancer in terms of genetic and biological characteristics. We performed gene-targeted genome sequencing on 45 HER2+/HR- breast cancer samples and identified 650 mutations across 268 cancer-related genes. TP53 (71.1%) and PIK3CA (35.6%) were the most frequently mutated genes in our sample. Additionally, ERBB2 (77.8%), CDK12 (42.2%), and MYC (11.1%) exhibited a high frequency of copy number amplifications (CNAs). Comparative analysis with two other HER2+/HR- breast cancer cohorts revealed that our cohort had higher genetic variation rates in ARID1A, PKHD1, PTPN13, FANCA, SETD2, BRCA2, BLM, STAG2, FAT1, TOP2A, POLE, ATM, KMT2B, FGFR4, and EPAS1. Notably, in our cohort, NF1 and ATM mutations were more prevalent in trastuzumab-resistant patients (NF1, p=0.016; ATM, p=0.006) and were associated with primary trastuzumab resistance (NF1, p=0.042; ATM, p=0.021). Moreover, patients with NF1 mutations (p=0.009) and high histological grades (p=0.028) were more likely to experience early relapse. Ultimately, we identified a unique cancer-related gene mutation profile and a subset of genes associated with primary resistance to trastuzumab and RFS in patients with HER2+/HR- breast cancer in Northwest China. These findings could lay the groundwork for future studies aimed at elucidating the mechanisms of resistance to trastuzumab and improving HER2-targeted treatment strategies.
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Affiliation(s)
- Gang Ma
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Binliang Huo
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Yanwei Shen
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Xulong Zhu
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Chong Cheng
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Wensheng Li
- Department of Pathology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Wei Cao
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
| | - Jianhui Li
- Department of Surgical Oncology, Shaanxi Provincial People's Hospital, Xi'an, China
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Regner MJ, Garcia-Recio S, Thennavan A, Wisniewska K, Mendez-Giraldez R, Felsheim B, Spanheimer PM, Parker JS, Perou CM, Franco HL. Defining the Regulatory Logic of Breast Cancer Using Single-Cell Epigenetic and Transcriptome Profiling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.13.598858. [PMID: 38948758 PMCID: PMC11212881 DOI: 10.1101/2024.06.13.598858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Annotation of the cis-regulatory elements that drive transcriptional dysregulation in cancer cells is critical to improving our understanding of tumor biology. Herein, we present a compendium of matched chromatin accessibility (scATAC-seq) and transcriptome (scRNA-seq) profiles at single-cell resolution from human breast tumors and healthy mammary tissues processed immediately following surgical resection. We identify the most likely cell-of-origin for luminal breast tumors and basal breast tumors and then introduce a novel methodology that implements linear mixed-effects models to systematically quantify associations between regions of chromatin accessibility (i.e. regulatory elements) and gene expression in malignant cells versus normal mammary epithelial cells. These data unveil regulatory elements with that switch from silencers of gene expression in normal cells to enhancers of gene expression in cancer cells, leading to the upregulation of clinically relevant oncogenes. To translate the utility of this dataset into tractable models, we generated matched scATAC-seq and scRNA-seq profiles for breast cancer cell lines, revealing, for each subtype, a conserved oncogenic gene expression program between in vitro and in vivo cells. Together, this work highlights the importance of non-coding regulatory mechanisms that underlie oncogenic processes and the ability of single-cell multi-omics to define the regulatory logic of BC cells at single-cell resolution.
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Affiliation(s)
- Matthew J. Regner
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Susana Garcia-Recio
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Aatish Thennavan
- Department of Systems Biology, UT MD Anderson Cancer Center, Houston, TX, USA, 77030
| | - Kamila Wisniewska
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Raul Mendez-Giraldez
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Brooke Felsheim
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Philip M. Spanheimer
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Joel S. Parker
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Hector L. Franco
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
- Division of Clinical and Translational Cancer Research, University of Puerto Rico Comprehensive Cancer Center, San Juan, PR 00935
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133
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Shah OS, Nasrazadani A, Foldi J, Atkinson JM, Kleer CG, McAuliffe PF, Johnston TJ, Stallaert W, da Silva EM, Selenica P, Dopeso H, Pareja F, Mandelker D, Weigelt B, Reis-Filho JS, Bhargava R, Lucas PC, Lee AV, Oesterreich S. Spatial molecular profiling of mixed invasive ductal-lobular breast cancers reveals heterogeneity in intrinsic molecular subtypes, oncogenic signatures, and mutations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.09.09.557013. [PMID: 38915645 PMCID: PMC11195088 DOI: 10.1101/2023.09.09.557013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Mixed invasive ductal and lobular carcinoma (MDLC) is a rare histologic subtype of breast cancer displaying both E-cadherin positive ductal and E-cadherin negative lobular morphologies within the same tumor, posing challenges with regard to anticipated clinical management. It remains unclear whether these distinct morphologies also have distinct biology and risk of recurrence. Our spatially-resolved transcriptomic, genomic, and single-cell profiling revealed clinically significant differences between ductal and lobular tumor regions including distinct intrinsic subtype heterogeneity (e.g., MDLC with TNBC/basal ductal and ER+/luminal lobular regions), distinct enrichment of senescence/dormancy and oncogenic (ER and MYC) signatures, genetic and epigenetic CDH1 inactivation in lobular, but not ductal regions, and single-cell ductal and lobular sub-populations with unique oncogenic signatures further highlighting intra-regional heterogeneity. Altogether, we demonstrated that the intra-tumoral morphological/histological heterogeneity within MDLC is underpinned by intrinsic subtype and oncogenic heterogeneity which may result in prognostic uncertainty and therapeutic dilemma. Significance MDLC displays both ductal and lobular tumor regions. Our multi-omic profiling approach revealed that these morphologically distinct tumor regions harbor distinct intrinsic subtypes and oncogenic features that may cause prognostic uncertainty and therapeutic dilemma. Thus histopathological/molecular profiling of individual tumor regions may guide clinical decision making and benefit patients with MDLC, particularly in the advanced setting where there is increased reliance on next generation sequencing.
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Liu GH, Tan XY, Xu ZY, Li JX, Zhong GH, Zhai JW, Li MY. REEP3 is a potential diagnostic and prognostic biomarker correlated with immune infiltration in pancreatic cancer. Sci Rep 2024; 14:13834. [PMID: 38879709 PMCID: PMC11180088 DOI: 10.1038/s41598-024-64720-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 06/12/2024] [Indexed: 06/19/2024] Open
Abstract
Receptor Expression-Enhancing Protein 3 (REEP3) serves as a pivotal enzyme crucial for endoplasmic reticulum (ER) clearance during mitosis and is implicated in the advancement of diverse malignancies. Nonetheless, the biological role and mechanisms of REEP3 in pancreatic cancer patients, along with its interplay with immune infiltration, remain inadequately elucidated. In this study, we initially analyzed the differential expression of REEP3 between pancreatic cancer tissues and normal pancreas tissues using the Cancer Genome Atlas (TCGA), GTEx and Gene Expression Omnibus (GEO) databases. Subsequently, we utilized Kaplan-Meier analysis, Cox regression and ROC curve to determine the predictive value of REEP3 for the clinical outcomes of pancreatic cancer patients. Functional enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA), were conducted to explore the potential signaling pathways and biological functions associated with pancreatic cancer. Furthermore, we investigated the PPI network, miRNA, RBP and transcription factor interactions of REEP3 using databases such as GeneMania, STRING, StarBase, KnockTK, ENCODE, Jaspar and hTFtarget. Lastly, the "ssGSEA" algorithm and TIMER database were employed to investigate the correlation between REEP3 expression and immune infiltration as well as immune checkpoints. The expression of REEP3 in pancreatic cancer showed a significantly higher level compared to that in normal tissues. ROC curve analysis indicated that REEP3 holds substantial diagnostic potential for pancreatic cancer patients. Elevated REEP3 expression correlated with unfavorable outcomes in terms of both overall survival and relapse-free survival, establishing it as a notable adverse prognostic marker in pancreatic cancer. Moreover, both univariate and multivariate Cox regression analyses demonstrated that REEP3 maintained an independent association with overall survival. Functional enrichment analyses revealed pathways significantly linked to REEP3, including cytoplasmic translation, wound healing, viral processes, regulation of cellular component size and actin filament organization. Additionally, REEP3 expression displayed a significant positive correlation with CD8+ T cells, B cells, natural killer cells, dendritic cells and macrophages. REEP3 is a potential diagnostic, prognostic marker and immunotherapeutic target for pancreatic cancer.
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Affiliation(s)
- Guo-Hua Liu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
- Institute of Surgery, Jinan University, Guangzhou, 510630, Guangdong, China
| | - Xiao-Yu Tan
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Zhen-Yue Xu
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Jia-Xing Li
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Guo-Hui Zhong
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Jing-Wei Zhai
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China
| | - Ming-Yi Li
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524000, Guangdong, China.
- Institute of Surgery, Jinan University, Guangzhou, 510630, Guangdong, China.
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135
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Pan L, Li J, Xu Q, Gao Z, Yang M, Wu X, Li X. HER2/PI3K/AKT pathway in HER2-positive breast cancer: A review. Medicine (Baltimore) 2024; 103:e38508. [PMID: 38875362 PMCID: PMC11175886 DOI: 10.1097/md.0000000000038508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 05/01/2024] [Accepted: 05/17/2024] [Indexed: 06/16/2024] Open
Abstract
Breast cancer is currently the most commonly occurring cancer globally. Among breast cancer cases, the human epidermal growth factor receptor 2 (HER2)-positive breast cancer accounts for 15% to 20% and is a crucial focus in the treatment of breast cancer. Common HER2-targeted drugs approved for treating early and/or advanced breast cancer include trastuzumab and pertuzumab, which effectively improve patient prognosis. However, despite treatment, most patients with terminal HER2-positive breast cancer ultimately suffer death from the disease due to primary or acquired drug resistance. The prevalence of aberrantly activated the protein kinase B (AKT) signaling in HER2-positive breast cancer was already observed in previous studies. It is well known that p-AKT expression is linked to an unfavorable prognosis, and the phosphatidylinositol-3-kinase (PI3K)/AKT pathway, as the most common mutated pathway in breast cancer, plays a major role in the mechanism of drug resistance. Therefore, in the current review, we summarize the molecular alterations present in HER2-positive breast cancer, elucidate the relationships between HER2 overexpression and alterations in the PI3K/AKT signaling pathway and the pathways of the alterations in breast cancer, and summarize the resistant mechanism of drugs targeting the HER2-AKT pathway, which will provide an adjunctive therapeutic rationale for subsequent resistance to directed therapy in the future.
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Affiliation(s)
- Linghui Pan
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Jinling Li
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
- Department of Laboratory Medicine, Chonggang General Hospital, Chongqing, China
| | - Qi Xu
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Zili Gao
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Mao Yang
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Xiaoping Wu
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
| | - Xuesen Li
- Institute for Cancer Medicine and School of Basic Medical Sciences, Southwest Medical University, Luzhou, China
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136
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Gilardi L, Airò Farulla LS, Bonatto E, Ceci F. Novel PET tracers in breast cancer for treatment optimization: clinical utility and future perspectives. Curr Opin Oncol 2024:00001622-990000000-00177. [PMID: 39011728 DOI: 10.1097/cco.0000000000001057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
PURPOSE OF REVIEW There is a critical need for timely and accurate decisions in breast cancer management. This narrative review aims to clarify the potential role of novel PET tracers in optimizing treatment strategies for different breast cancer subtypes. RECENT FINDINGS 2-deoxy-2-[18F]-fluoro-D-glucose PET/computed tomography (FDG PET/CT) has a pivotal role in response assessment in metastatic breast cancer, despite its limitations in certain histological and molecular subtypes. Further PET radiopharmaceuticals have been proposed to address these clinical needing. SUMMARY FES PET/CT demonstrates its usefulness in assessing ER expression and predicting response to therapy in luminal breast cancer, with implications for treatment optimization and monitoring. In HER2-positive and HER2-low breast cancer, HER2-targeted PET tracers show potential in assessing HER2 status, while their accuracy in predicting response to targeted therapies is still debated. PARP-targeted PET imaging holds potential for selecting patients for PARP inhibitors treatments, particularly in triple-negative breast cancer (TNBC), where imaging tools are crucial due to the absence of specific targets. Immunotherapy and antibody-drug conjugates (ADCs) are emerging treatment options for TNBC, and PET imaging targeting immune checkpoints could aid in treatment selection and response monitoring. The dynamic role of PET/CT imaging in tailoring breast cancer treatments requires further multidisciplinary research to validate the clinical utility of targeted tracers.
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Affiliation(s)
- Laura Gilardi
- Division of Nuclear Medicine, IEO European Institute of Oncology IRCCS
| | - Lighea Simona Airò Farulla
- Division of Nuclear Medicine, IEO European Institute of Oncology IRCCS
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Elena Bonatto
- Division of Nuclear Medicine, IEO European Institute of Oncology IRCCS
| | - Francesco Ceci
- Division of Nuclear Medicine, IEO European Institute of Oncology IRCCS
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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137
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Sharma A, Debik J, Naume B, Ohnstad HO, Bathen TF, Giskeødegård GF. Comprehensive multi-omics analysis of breast cancer reveals distinct long-term prognostic subtypes. Oncogenesis 2024; 13:22. [PMID: 38871719 DOI: 10.1038/s41389-024-00521-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 06/15/2024] Open
Abstract
Breast cancer (BC) is a leading cause of cancer-related death worldwide. The diverse nature and heterogeneous biology of BC pose challenges for survival prediction, as patients with similar diagnoses often respond differently to treatment. Clinically relevant BC intrinsic subtypes have been established through gene expression profiling and are implemented in the clinic. While these intrinsic subtypes show a significant association with clinical outcomes, their long-term survival prediction beyond 5 years often deviates from expected clinical outcomes. This study aimed to identify naturally occurring long-term prognostic subgroups of BC based on an integrated multi-omics analysis. This study incorporates a clinical cohort of 335 untreated BC patients from the Oslo2 study with long-term follow-up (>12 years). Multi-Omics Factor Analysis (MOFA+) was employed to integrate transcriptomic, proteomic, and metabolomic data obtained from the tumor tissues. Our analysis revealed three prominent multi-omics clusters of BC patients with significantly different long-term prognoses (p = 0.005). The multi-omics clusters were validated in two independent large cohorts, METABRIC and TCGA. Importantly, a lack of prognostic association to long-term follow-up above 12 years in the previously established intrinsic subtypes was shown for these cohorts. Through a systems-biology approach, we identified varying enrichment levels of cell-cycle and immune-related pathways among the prognostic clusters. Integrated multi-omics analysis of BC revealed three distinct clusters with unique clinical and biological characteristics. Notably, these multi-omics clusters displayed robust associations with long-term survival, outperforming the established intrinsic subtypes.
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Affiliation(s)
- Abhibhav Sharma
- Department of Public Health and Nursing (ISM), Norwegian University of Science and Technology- NTNU, Trondheim, Norway.
| | - Julia Debik
- Department of Public Health and Nursing (ISM), Norwegian University of Science and Technology- NTNU, Trondheim, Norway
- Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | - Bjørn Naume
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Hege Oma Ohnstad
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway
| | - Guro F Giskeødegård
- Department of Public Health and Nursing (ISM), Norwegian University of Science and Technology- NTNU, Trondheim, Norway.
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Jia W, Lin X, Chen X, Li H, Zhang X, Zhang Y, Chen Y, Wang B, Chen X, Chen J, Tian H. Rujifang inhibits triple-negative breast cancer growth via the PI3K/AKT pathway. JOURNAL OF ETHNOPHARMACOLOGY 2024; 327:118011. [PMID: 38467320 DOI: 10.1016/j.jep.2024.118011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/23/2023] [Accepted: 03/04/2024] [Indexed: 03/13/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Rujifang (RJF) constitutes a traditional Chinese medicinal compound extensively employed in the management of triple-negative breast cancer (TNBC). However, information regarding its potential active ingredients, antitumor effects, safety, and mechanism of action remains unreported. AIM OF THE STUDY To investigate the efficacy and safety of RJF in the context of TNBC. MATERIALS AND METHODS We employed the ultra high-performance liquid chromatography-electrospray four-pole time-of-flight mass spectrometry technique (UPLC/Q-TOF-MS/MS) to scrutinize the chemical constituents of RJF. Subcutaneously transplanted tumor models were utilized to assess the impact of RJF on TNBC in vivo. Thirty female BLAB/c mice were randomly divided into five groups: the model group, cyclophosphamide group, and RJF high-dose, medium-dose, and low-dose groups. A total of 1 × 106 4T1 cells were subcutaneously injected into the right shoulder of mice, and they were administered treatments for a span of 28 days. We conducted evaluations on blood parameters, encompassing white blood cell count (WBC), red blood cell count (RBC), hemoglobin (HGB), platelet count (PLT), neutrophils, lymphocytes, and monocytes, as well as hepatorenal indicators including alkaline phosphatase (ALP), glutamate oxaloacetate transaminase (GOT), glutamate pyruvate transaminase (GPT), albumin, and creatinine (CRE) to gauge the safety of RJF. Ki67 and TUNEL were detected via immunohistochemistry and immunofluorescence, respectively. We prepared RJF drug-containing serum for TNBC cell lines and assessed the in vitro inhibitory effect of RJF on tumor cell growth through the CCK8 assay and cell cycle analysis. RT-PCR was employed to detect the mRNA expression of cyclin-dependent kinase and cyclin-dependent kinase inhibitors in tumor tissues, and Western blot was carried out to ascertain the expression of cyclin and pathway-related proteins. RESULTS 100 compounds were identified in RJF, which consisted of 3 flavonoids, 24 glycosides, 18 alkaloids, 3 amino acids, 8 phenylpropanoids, 6 terpenes, 20 organic acids, and 18 other compounds. In animal experiments, both CTX and RJF exhibited substantial antitumor effects. RJF led to an increase in the number of neutrophils in peripheral blood, with no significant impact on other hematological indices. In contrast, CTX reduced red blood cell count, hemoglobin levels, and white blood cell count, while increasing platelet count. RJF exhibited no discernible influence on hepatorenal function, whereas Cyclophosphamide (CTX) decreased ALP, GOT, and GPT levels. Both CTX and RJF reduced the expression of Ki67 and heightened the occurrence of apoptosis in tumor tissue. RJF drug-containing serum hindered the viability of 4T1 and MD-MBA-231 cells in a time and concentration-dependent manner. In cell cycle experiments, RJF diminished the proportion of G2 phase cells and arrested the cell cycle at the S phase. RT-PCR analysis indicated that RJF down-regulated the mRNA expression of CDK2 and CDK4, while up-regulating that of P21 and P27 in tumor tissue. The trends in CDKs and CDKIs protein expression mirrored those of mRNA expression. Moreover, the PI3K/AKT pathway displayed downregulation in the tumor tissue of mice treated with RJF. CONCLUSION RJF demonstrates effectiveness and safety in the context of TNBC. It exerts anti-tumor effects by arresting the cell cycle at the S phase through the PI3K-AKT pathway.
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Affiliation(s)
- Wenyu Jia
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Xuan Lin
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Xuezhang Chen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Hongliang Li
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Xingru Zhang
- Shenyang Pharmaceutical University, Shenyang, 110016, Liaoning, China
| | - Yuzhuo Zhang
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Yinsong Chen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Bin Wang
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Xikang Chen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China
| | - Ju Chen
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China.
| | - Huaqin Tian
- The Eighth Clinical Medical College of Guangzhou University of Chinese Medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan, 528000, Guangdong, China.
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Tiong KL, Luzhbin D, Yeang CH. Assessing transcriptomic heterogeneity of single-cell RNASeq data by bulk-level gene expression data. BMC Bioinformatics 2024; 25:209. [PMID: 38867193 PMCID: PMC11167951 DOI: 10.1186/s12859-024-05825-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 06/03/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Single-cell RNA sequencing (sc-RNASeq) data illuminate transcriptomic heterogeneity but also possess a high level of noise, abundant missing entries and sometimes inadequate or no cell type annotations at all. Bulk-level gene expression data lack direct information of cell population composition but are more robust and complete and often better annotated. We propose a modeling framework to integrate bulk-level and single-cell RNASeq data to address the deficiencies and leverage the mutual strengths of each type of data and enable a more comprehensive inference of their transcriptomic heterogeneity. Contrary to the standard approaches of factorizing the bulk-level data with one algorithm and (for some methods) treating single-cell RNASeq data as references to decompose bulk-level data, we employed multiple deconvolution algorithms to factorize the bulk-level data, constructed the probabilistic graphical models of cell-level gene expressions from the decomposition outcomes, and compared the log-likelihood scores of these models in single-cell data. We term this framework backward deconvolution as inference operates from coarse-grained bulk-level data to fine-grained single-cell data. As the abundant missing entries in sc-RNASeq data have a significant effect on log-likelihood scores, we also developed a criterion for inclusion or exclusion of zero entries in log-likelihood score computation. RESULTS We selected nine deconvolution algorithms and validated backward deconvolution in five datasets. In the in-silico mixtures of mouse sc-RNASeq data, the log-likelihood scores of the deconvolution algorithms were strongly anticorrelated with their errors of mixture coefficients and cell type specific gene expression signatures. In the true bulk-level mouse data, the sample mixture coefficients were unknown but the log-likelihood scores were strongly correlated with accuracy rates of inferred cell types. In the data of autism spectrum disorder (ASD) and normal controls, we found that ASD brains possessed higher fractions of astrocytes and lower fractions of NRGN-expressing neurons than normal controls. In datasets of breast cancer and low-grade gliomas (LGG), we compared the log-likelihood scores of three simple hypotheses about the gene expression patterns of the cell types underlying the tumor subtypes. The model that tumors of each subtype were dominated by one cell type persistently outperformed an alternative model that each cell type had elevated expression in one gene group and tumors were mixtures of those cell types. Superiority of the former model is also supported by comparing the real breast cancer sc-RNASeq clusters with those generated by simulated sc-RNASeq data. CONCLUSIONS The results indicate that backward deconvolution serves as a sensible model selection tool for deconvolution algorithms and facilitates discerning hypotheses about cell type compositions underlying heterogeneous specimens such as tumors.
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Affiliation(s)
- Khong-Loon Tiong
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Dmytro Luzhbin
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
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Bai Y, Zhang Z, Bi J, Tang Q, Jiang K, Yao C, Wang W. miR-181c-5p/DERL1 pathway controls breast cancer progression mediated by TRAF6-linked K63 ubiquitination of AKT. Cancer Cell Int 2024; 24:204. [PMID: 38858669 PMCID: PMC11165795 DOI: 10.1186/s12935-024-03395-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 06/04/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Aberrant Derlin-1 (DERL1) expression is associated with an overactivation of p-AKT, whose involvement in breast cancer (BRCA) development has been widely speculated. However, the precise mechanism that links DERL1 expression and AKT activation is less well-studied. METHODS Bioinformatic analyses hold a promising approach by which to detect genes' expression levels and their association with disease prognoses in patients. In the present work, a dual-luciferase assay was employed to investigate the relationship between DERL1 expression and the candidate miRNA by both in vitro and in vivo methods. Further in-depth studies involving immunoprecipitation-mass spectrum (IP-MS), co-immunoprecipitation (Co-IP), as well as Zdock prediction were performed. RESULTS Overexpression of DERL1 was detected in all phenotypes of BRCA, and its knockdown showed an inhibitory effect on BRCA cells both in vitro and in vivo. The Cancer Genome Atlas (TCGA) database reported that DERL1 overexpression was correlated with poor overall survival in BRCA cases, and so the quantification of DERL1 expression could be a potential marker for the clinical diagnosis of BRCA. On the other hand, miR-181c-5p was downregulated in BRCA, suggesting that its overexpression could be a potent therapeutic route to improve the overall survival of BRCA cases. Prior bioinformatic analyses indicated a somewhat positive correlation between DERL1 and TRAF6 as well as between TRAF6 and AKT, but not between miR-181c-5p and DERL1. In retrospect, DERL1 overexpression promoted p-AKT activation through K63 ubiquitination. DERL1 was believed to directly interact with the E3 ligase TRAF6. As Tyr77Ala or Tyr77Ala/Gln81Ala/Arg85Ala/Val158Ala attempts to prevent the interaction between DERL1 and TRAF domain of TRAF6, resulted in a significant reduction in K63-ubiquitinated p-AKT production. However, mutations in Gln81Ala, Arg85Ala, or Val158Ala could possibly interrupt with these processes. CONCLUSIONS Our data confirm that mediation of the miR-181c-5p/DERL1 pathway by TRAF6-linked AKT K63 ubiquitination holds one of the clues to set our focus on toward meeting the therapeutic goals of BRCA.
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Affiliation(s)
- Yang Bai
- Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Zhanqiang Zhang
- Department of Thyroid, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Jiong Bi
- Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Qian Tang
- Department of Anesthesiology, Guiqian International General Hospital, Guiyang, 550000, Guizhou, China
| | - Keying Jiang
- Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Chen Yao
- Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Wenjian Wang
- Laboratory of Department of Surgery, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
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Marshall ML, Fung KY, Jans DA, Wagstaff KM. Tumour-specific phosphorylation of serine 419 drives alpha-enolase (ENO1) nuclear export in triple negative breast cancer progression. Cell Biosci 2024; 14:74. [PMID: 38849850 PMCID: PMC11157870 DOI: 10.1186/s13578-024-01249-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/24/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND The glycolytic enzyme alpha-enolase is a known biomarker of many cancers and involved in tumorigenic functions unrelated to its key role in glycolysis. Here, we show that expression of alpha-enolase correlates with subcellular localisation and tumorigenic status in the MCF10 triple negative breast cancer isogenic tumour progression model, where non-tumour cells show diffuse nucleocytoplasmic localisation of alpha-enolase, whereas tumorigenic cells show a predominantly cytoplasmic localisation. Alpha-enolase nucleocytoplasmic localisation may be regulated by tumour cell-specific phosphorylation at S419, previously reported in pancreatic cancer. RESULTS Here we show ENO1 phosphorylation can also be observed in triple negative breast cancer patient samples and MCF10 tumour progression cell models. Furthermore, prevention of alpha-enolase-S419 phosphorylation by point mutation or a casein kinase-1 specific inhibitor D4476, induced tumour-specific nuclear accumulation of alpha-enolase, implicating S419 phosphorylation and casein kinase-1 in regulating subcellular localisation in tumour cell-specific fashion. Strikingly, alpha-enolase nuclear accumulation was induced in tumour cells by treatment with the specific exportin-1-mediated nuclear export inhibitor Leptomycin B. This suggests that S419 phosphorylation in tumour cells regulates alpha-enolase subcellular localisation by inducing its exportin-1-mediated nuclear export. Finally, as a first step to analyse the functional consequences of increased cytoplasmic alpha-enolase in tumour cells, we determined the alpha-enolase interactome in the absence/presence of D4476 treatment, with results suggesting clear differences with respect to interaction with cytoskeleton regulating proteins. CONCLUSIONS The results suggest for the first time that tumour-specific S419 phosphorylation may contribute integrally to alpha-enolase cytoplasmic localisation, to facilitate alpha-enolase's role in modulating cytoskeletal organisation in triple negative breast cancer. This new information may be used for development of triple negative breast cancer specific therapeutics that target alpha-enolase.
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Affiliation(s)
- Morgan L Marshall
- Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia
| | - Kim Yc Fung
- Health and Biosecurity, CSIRO, Westmead, NSW, 2145, Australia
| | - David A Jans
- Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia
| | - Kylie M Wagstaff
- Monash Biomedicine Discovery Institute, Monash University, Clayton, VIC, 3800, Australia.
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Anastas V, Chavdoula E, La Ferlita A, Soysal B, Cosentini I, Nigita G, Kearse MG, Tsichlis PN. KDM2B is required for ribosome biogenesis and its depletion unequally affects mRNA translation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595403. [PMID: 38826406 PMCID: PMC11142201 DOI: 10.1101/2024.05.22.595403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
KDM2B is a JmjC domain lysine demethylase, which promotes cell immortalization, stem cell self-renewal and tumorigenesis. Here we employed a multi-omics strategy to address its role in ribosome biogenesis and mRNA translation. These processes are required to sustain cell proliferation, an important cancer hallmark. Contrary to earlier observations, KDM2B promotes ribosome biogenesis by stimulating the transcription of genes encoding ribosome biogenesis factors and ribosomal proteins, particularly those involved in the biogenesis of the 40S ribosomal subunits. Knockdown of KDM2B impaired the assembly of the small and large subunit processomes, as evidenced by specific defects in pre-ribosomal RNA processing. The final outcome was a decrease in the rate of ribosome assembly and in the abundance of ribosomes, and inhibition of mRNA translation. The inhibition of translation was distributed unequally among mRNAs with different features, suggesting that mRNA-embedded properties influence how mRNAs interpret ribosome abundance. This study identified a novel mechanism contributing to the regulation of translation and provided evidence for a rich biology elicited by a pathway that depends on KDM2B, and perhaps other regulators of translation.
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Affiliation(s)
- Vollter Anastas
- Tufts Graduate School of Biomedical Sciences, Program in Genetics, Boston, MA, United States
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
| | - Evangelia Chavdoula
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
| | - Alessandro La Ferlita
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
| | - Burak Soysal
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
| | - Ilaria Cosentini
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), Palermo, Italy
| | - Giovanni Nigita
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
| | - Michael G Kearse
- Department of Biological Chemistry and Pharmacology, Center for RNA Biology, The Ohio State University, Columbus, OH, United States
| | - Philip N Tsichlis
- Tufts Graduate School of Biomedical Sciences, Program in Genetics, Boston, MA, United States
- Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, United States
- The Ohio State University, Comprehensive Cancer Center, Columbus, OH, United States
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Rossetti S, Broege A, Sen A, Khan S, MacNeil I, Molden J, Kopher R, Schulz S, Laing L. Gedatolisib shows superior potency and efficacy versus single-node PI3K/AKT/mTOR inhibitors in breast cancer models. NPJ Breast Cancer 2024; 10:40. [PMID: 38839777 PMCID: PMC11153628 DOI: 10.1038/s41523-024-00648-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/23/2024] [Indexed: 06/07/2024] Open
Abstract
The PI3K, AKT, and mTOR (PAM) pathway is frequently dysregulated in breast cancer (BC) to accommodate high catabolic and anabolic activities driving tumor growth. Current therapeutic options for patients with hormone receptor (HR) + / HER2- advanced BC (ABC) include PAM inhibitors that selectively inhibit only one PAM pathway node, which can lead to drug resistance as cells rapidly adapt to maintain viability. We hypothesized that gedatolisib, which potently inhibits all Class I PI3K isoforms, as well as mTORC1 and mTORC2, may be more effective in BC cells than single-node PAM inhibitors by limiting adaptive resistances. By using multiple functional assays, a panel of BC cell lines was evaluated for their sensitivity to four different PAM inhibitors: gedatolisib (pan-PI3K/mTOR inhibitor), alpelisib (PI3Kα inhibitor), capivasertib (AKT inhibitor), and everolimus (mTORC1 inhibitor). Gedatolisib exhibited more potent and efficacious anti-proliferative and cytotoxic effects regardless of the PAM pathway mutational status of the cell lines compared to the single-node PAM inhibitors. The higher efficacy of gedatolisib was confirmed in three-dimensional culture and in BC PDX models. Mechanistically, gedatolisib decreased cell survival, DNA replication, cell migration and invasion, protein synthesis, glucose consumption, lactate production, and oxygen consumption more effectively than the other PAM inhibitors tested. These results indicate that inhibition of multiple PAM pathway nodes by a pan-PI3K/mTOR inhibitor like gedatolisib may be more effective at inducing anti-tumor activity than single-node PAM inhibitors. A global Phase 3 study is currently evaluating gedatolisib plus fulvestrant with and without palbociclib in patients with HR+/HER2- ABC.
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Affiliation(s)
- Stefano Rossetti
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Aaron Broege
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Adrish Sen
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Salmaan Khan
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Ian MacNeil
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Jhomary Molden
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Ross Kopher
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Stephen Schulz
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA
| | - Lance Laing
- Celcuity, Inc. 16305 36th Ave N, Suite 100, Minneapolis, MN, 55446, USA.
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Guo Z, Luo J, Mashl RJ, Hoog J, Maiti P, Fettig N, Davies SR, Aft R, Held JM, Govindan R, Ding L, Li S, von Morze C, Wulf GM, Shoghi KI, Ma CX. Evaluation of Copanlisib in Combination with Eribulin in Triple-negative Breast Cancer Patient-derived Xenograft Models. CANCER RESEARCH COMMUNICATIONS 2024; 4:1430-1440. [PMID: 38717161 PMCID: PMC11152037 DOI: 10.1158/2767-9764.crc-24-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2024] [Revised: 05/01/2024] [Accepted: 05/03/2024] [Indexed: 05/22/2024]
Abstract
The PI3K pathway regulates essential cellular functions and promotes chemotherapy resistance. Activation of PI3K pathway signaling is commonly observed in triple-negative breast cancer (TNBC). However previous studies that combined PI3K pathway inhibitors with taxane regimens have yielded inconsistent results. We therefore set out to examine whether the combination of copanlisib, a clinical grade pan-PI3K inhibitor, and eribulin, an antimitotic chemotherapy approved for taxane-resistant metastatic breast cancer, improves the antitumor effect in TNBC. A panel of eight TNBC patient-derived xenograft (PDX) models was tested for tumor growth response to copanlisib and eribulin, alone or in combination. Treatment-induced signaling changes were examined by reverse phase protein array, immunohistochemistry (IHC) and 18F-fluorodeoxyglucose PET (18F-FDG PET). Compared with each drug alone, the combination of eribulin and copanlisib led to enhanced tumor growth inhibition, which was observed in both eribulin-sensitive and -resistant TNBC PDX models, regardless of PI3K pathway alterations or PTEN status. Copanlisib reduced PI3K signaling and enhanced eribulin-induced mitotic arrest. The combination enhanced induction of apoptosis compared with each drug alone. Interestingly, eribulin upregulated PI3K pathway signaling in PDX tumors, as demonstrated by increased tracer uptake by 18F-FDG PET scan and AKT phosphorylation by IHC. These changes were inhibited by the addition of copanlisib. These data support further clinical development for the combination of copanlisib and eribulin and led to a phase I/II trial of copanlisib and eribulin in patients with metastatic TNBC. SIGNIFICANCE In this research, we demonstrated that the pan-PI3K inhibitor copanlisib enhanced the cytotoxicity of eribulin in a panel of TNBC PDX models. The improved tumor growth inhibition was irrespective of PI3K pathway alteration and was corroborated by the enhanced mitotic arrest and apoptotic induction observed in PDX tumors after combination therapy compared with each drug alone. These data provide the preclinical rationale for the clinical testing in TNBC.
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Affiliation(s)
- Zhanfang Guo
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Jingqin Luo
- Division of Public Health Science, Siteman Cancer Center Biostatistics Core, Washington University School of Medicine, St. Louis, Missouri
| | - R. Jay Mashl
- Department of Medicine, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Jeremy Hoog
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Piyush Maiti
- Mallinckrodt Institute of Radiology, St. Louis, Missouri
| | - Nikki Fettig
- Mallinckrodt Institute of Radiology, St. Louis, Missouri
| | - Sherri R. Davies
- Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Rebecca Aft
- Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Jason M. Held
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Ramaswamy Govindan
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Li Ding
- Department of Medicine, McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri
| | - Shunqiang Li
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | | | - Gerburg M. Wulf
- Department of Medicine and Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | | | - Cynthia X. Ma
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
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Abdel-Razeq H, Tamimi F, Iweir S, Sharaf B, Abdel-Razeq S, Salama O, Edaily S, Bani Hani H, Azzam K, Abaza H. Genetic counseling and genetic testing for pathogenic germline mutations among high-risk patients previously diagnosed with breast cancer: a traceback approach. Sci Rep 2024; 14:12820. [PMID: 38834641 DOI: 10.1038/s41598-024-63300-8] [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: 11/10/2023] [Accepted: 05/27/2024] [Indexed: 06/06/2024] Open
Abstract
Genetic counseling and testing are more accessible than ever due to reduced costs, expanding indications and public awareness. Nonetheless, many patients missed the opportunity of genetic counseling and testing due to barriers that existed at that time of their cancer diagnoses. Given the identified implications of pathogenic mutations on patients' treatment and familial outcomes, an opportunity exists to utilize a 'traceback' approach to retrospectively examine their genetic makeup and provide consequent insights to their disease and treatment. In this study, we identified living patients diagnosed with breast cancer (BC) between July 2007 and January 2022 who would have been eligible for testing, but not tested. Overall, 422 patients met the eligibility criteria, 282 were reached and invited to participate, and germline testing was performed for 238, accounting for 84.4% of those invited. The median age (range) was 39.5 (24-64) years at BC diagnosis and 49 (31-75) years at the date of testing. Genetic testing revealed that 25 (10.5%) patients had pathogenic/likely pathogenic (P/LP) variants; mostly in BRCA2 and BRCA1. We concluded that long overdue genetic referral through a traceback approach is feasible and effective to diagnose P/LP variants in patients with history of BC who had missed the opportunity of genetic testing, with potential clinical implications for patients and their relatives.
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Affiliation(s)
- Hikmat Abdel-Razeq
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan.
- School of Medicine, The University of Jordan, Amman, Jordan.
| | - Faris Tamimi
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | - Sereen Iweir
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
- CRDF Global, Global Health Mission Area, Amman, Jordan
| | - Baha Sharaf
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | | | - Osama Salama
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | - Sarah Edaily
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | - Hira Bani Hani
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | - Khansa Azzam
- Department of Internal Medicine, King Hussein Cancer Center, 202 Queen Rania Al Abdullah Street, P.O. Box: 1269, Amman, 11941, Jordan
| | - Haneen Abaza
- Office of Scientific Affairs and Research, King Hussein Cancer Center, Amman, Jordan
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Wu D, Pan C, Hu Y, Shi Z, Zhou Y, Xiao M. A bibliometric and visualization analysis of research trends and hotspots on targeted therapy for breast cancer from 2003 to 2022. Front Oncol 2024; 14:1366900. [PMID: 38894873 PMCID: PMC11183788 DOI: 10.3389/fonc.2024.1366900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Background Breast cancer is a significant public health issue, exhibiting the most pronounced occurrence and fatality rates among malignant neoplasms globally. Targeted therapy is a medical intervention that focuses on specific molecular markers. This study aims to investigate and evaluate the current research trends and directions in the field of targeted therapy for breast cancer using bibliometric analysis. Method The Web of Science database was utilized to retrieve relevant articles published between 2003 and 2022. The VOSviewer software and Bibliometrix package in the R language were employed to conduct co-occurrence and clustering analyses of authors, countries, institutions, journals, references, and the CiteSpace tool was utilized for keyword burst detection. Results A total of 2,258 articles were included and the annual number of publications increased rapidly. The most prolific country on this topic was the USA (n=898, 39.77%) and the University of Texas MD Anderson Cancer Center published most papers (n=93). Dennis J. Slamon and Gabriel N. Hortobagyi stood out in the field, with Dennis J. Slamon leading in terms of co-citations(n=653) and Gabriel N. Hortobagyi topping the list in terms of published articles(n=18). The most productive journal was Breast Cancer Research and Treatment and the most cited journal was Journal of Clinical Oncology. The clustering of keywords indicated that the primary focus of researches in the past two decades was on the development and clinical evaluation of tumor-targeted drugs associated with the epidermal growth factor receptor (EGFR) family signaling pathway, and explored mechanisms related to biological behavior of breast cancer. Keywords co-occurrence and burst analysis identified current research hotspots and potential research trends. Conclusion This study employed bibliometric analysis to examine research on targeted therapy for breast cancer over a span of 20 years, and identified development trends of research and elucidated potential research trajectories in the domain of this topic. This study helps in the identification of prospective collaborators and partner institutions for researchers.
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Affiliation(s)
- Deqi Wu
- Department of Thyroid and Breast Diagnosis and Treatment Center, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China
| | - Chi Pan
- Department of Breast Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yangying Hu
- Department of Thyroid and Breast Diagnosis and Treatment Center, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China
| | - Zhijie Shi
- Department of Thyroid and Breast Diagnosis and Treatment Center, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China
| | - Yankun Zhou
- Zhejiang University School of Medicine, Hangzhou, China
| | - Min Xiao
- Department of Surgery, Shulan (Hangzhou) Hospital, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China
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147
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Han YJ, Liu S, Hardeman A, Rajagopal PS, Mueller J, Khramtsova G, Sanni A, Ajani M, Clayton W, Hurley IW, Yoshimatsu TF, Zheng Y, Parker J, Perou CM, Olopade OI. The VEGF-Hypoxia Signature Is Upregulated in Basal-like Breast Tumors from Women of African Ancestry and Associated with Poor Outcomes in Breast Cancer. Clin Cancer Res 2024; 30:2609-2618. [PMID: 38564595 DOI: 10.1158/1078-0432.ccr-23-1526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 11/21/2023] [Accepted: 03/29/2024] [Indexed: 04/04/2024]
Abstract
PURPOSE Black women experience the highest breast cancer mortality rate compared with women of other racial/ethnic groups. To gain a deeper understanding of breast cancer heterogeneity across diverse populations, we examined a VEGF-hypoxia gene expression signature in breast tumors from women of diverse ancestry. EXPERIMENTAL DESIGN We developed a NanoString nCounter gene expression panel and applied it to breast tumors from Nigeria (n = 182) and the University of Chicago (Chicago, IL; n = 161). We also analyzed RNA sequencing data from Nigeria (n = 84) and The Cancer Genome Atlas (TCGA) datasets (n = 863). Patient prognosis was analyzed using multiple datasets. RESULTS The VEGF-hypoxia signature was highest in the basal-like subtype compared with other subtypes, with greater expression in Black women compared with White women. In TCGA dataset, necrotic breast tumors had higher scores for the VEGF-hypoxia signature compared with non-necrosis tumors (P < 0.001), with the highest proportion in the basal-like subtype. Furthermore, necrotic breast tumors have higher scores for the proliferation signature, suggesting an interaction between the VEGF-hypoxia signature, proliferation, and necrosis. T-cell gene expression signatures also correlated with the VEGF-hypoxia signature when testing all tumors in TCGA dataset. Finally, we found a significant association of the VEGF-hypoxia profile with poor outcomes when using all patients in the METABRIC (P < 0.0001) and SCAN-B datasets (P = 0.002). CONCLUSIONS These data provide further evidence for breast cancer heterogeneity across diverse populations and molecular subtypes. Interventions selectively targeting VEGF-hypoxia and the immune microenvironment have the potential to improve overall survival in aggressive breast cancers that disproportionately impact Black women in the African Diaspora.
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Affiliation(s)
- Yoo Jane Han
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Siyao Liu
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Ashley Hardeman
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Padma Sheila Rajagopal
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Jeffrey Mueller
- Department of Pathology, University of Chicago, Chicago, Illinois
| | - Galina Khramtsova
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Ayodele Sanni
- Department of Pathology and Forensic Medicine, Lagos State University Teaching Hospital, Ikeja, Lagos, Nigeria
| | - Mustapha Ajani
- Department of Pathology, College of Medicine, University of Ibadan/University College Hospital, Ibadan, Oyo, Nigeria
| | - Wendy Clayton
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Ian W Hurley
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Toshio F Yoshimatsu
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Yonglan Zheng
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
| | - Joel Parker
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
| | - Olufunmilayo I Olopade
- Center for Clinical Cancer Genetics and Global Health, Department of Medicine, University of Chicago, Chicago, Illinois
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148
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Sobral DV, Salgado MRT, Martins MR, Vasconcelos CDS, Anunciação CEC, de Andrade VP, Torres LC. Prognostic role of SOX2 and STAT3 expression on circulating T lymphocytes and CD44+/CD24 neg cells in the locally advanced and metastatic breast cancer. J Surg Oncol 2024. [PMID: 38825982 DOI: 10.1002/jso.27716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/22/2024] [Accepted: 05/25/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Breast cancer (BC) is associated with a continuous increase in incidence, with high mortality rates in several countries. CD44, STAT3, and SOX2 are related to regulating of somatic cell division, tumorigenesis, and metastasis in BC. METHODS A cross-sectional study was carried out at the Hospital de Cancer de Pernambuco (HCP) between 2017 and 2018. Fifty-one women with locally advanced (LA) and 14 with metastatic BC were included in the study. RESULTS High CD44+/CD24neg and CD44+/CD24neg/SOX2+ levels in Luminal B (LB), HER2+, and triple-negative breast cancer (TNBC) compared with controls (p < 0.05). Low CD44+/CD24negSTAT3+ levels in LB, HER2+, and TNBC compared with controls (p < 0.05). High T lymphocytes, and low STAT3 + T, and SOX2 + T levels in BC patients (p < 0.05). High SOX2 + T levels in patients with axillary lymph node-negative (N0) compared with the axillary lymph node-positives (N1 and N2 groups; p < 0.05). High SOX2 + T levels in N1 compared to N2 (p < 0.05). High T lymphocytes and low SOX2 + T levels in the LA tumor compared to metastatic disease (p = 0.0007 and p = 0.02, respectively). High CD44 + /CD24negSTAT3+, and T lymphocyte levels in TNBC patients with LA tumor compared to metastatic (p < 0.05). Low STAT3 + T levels in TBNC patients with LA tumor compared to metastatic (p = 0.0266). CONCLUSION SOX2 and STAT3 expression on circulating T lymphocytes and CD44 + /CD24neg cells in peripheral blood have prognostic roles in breast cancer. SOX2 and STAT3 expression are potential predictive biomarkers of disease progression in breast cancer regardless of tumor subtype.
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Affiliation(s)
- Denise V Sobral
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
- International Research Center, A.C. Camargo Cancer, CenterSão Paulo, Brazil
| | - Marcelo R T Salgado
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
- International Research Center, A.C. Camargo Cancer, CenterSão Paulo, Brazil
| | - Mario R Martins
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
- International Research Center, A.C. Camargo Cancer, CenterSão Paulo, Brazil
| | - Carolina de S Vasconcelos
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
| | - Carlos E C Anunciação
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
- International Research Center, A.C. Camargo Cancer, CenterSão Paulo, Brazil
| | | | - Leuridan C Torres
- Translational Research Laboratory, Instituto de Medicina Integral Prof. Fernando Figueira (IMIP), Recife, Brazil
- Sociedade Pernambucana de Combate ao Cancer, Hospital de Câncer de Pernambuco (HCP), Recife, Brazil
- Department of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
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149
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Li L, Yu J, Shen K, Chen X. The 21-Gene Recurrence Score Assay Improved Multidisciplinary Treatment Compliance in Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer Patients: An Analysis of 2,323 Patients. J Breast Cancer 2024; 27:163-175. [PMID: 38769684 PMCID: PMC11221206 DOI: 10.4048/jbc.2023.0248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/28/2024] [Accepted: 03/24/2024] [Indexed: 05/22/2024] Open
Abstract
PURPOSE The 21-gene recurrence score (RS) can guide adjuvant chemotherapy decisions in the multidisciplinary treatment (MDT) of patients with early breast cancer. This study aimed to evaluate the influence of the 21-gene RS assay on patient' compliance with MDT and its association with disease outcomes. METHODS Patients diagnosed with pN0-1, hormone receptor-positive, human epidermal growth factor receptor-2-negative breast cancer between January 2013 and June 2019 were enrolled. A logistic regression model was used to identify parameters associated with treatment adherence. Prognostic indicators were evaluated using the Cox proportional hazard models. RESULTS After the assay, patients were less likely to violate the treatment plan (14.9% vs. 23.1%, p < 0.001), and higher compliance rates were observed for chemotherapy (p = 0.042), radiotherapy (p = 0.012), and endocrine therapy (p < 0.001). Multivariable analysis demonstrated that the 21-gene RS assay (odds ratio [OR], 1.43; 95% confidence interval [CI], 1.09-1.88; p = 0.009) was independently associated with MDT compliance. Moreover, compliance with MDT was independently associated with better disease-free survival (hazard ratio, 0.43; 95% CI, 0.29-0.64; p < 0.001), regardless of the 21-gene RS assay (interaction p = 0.842). CONCLUSION The 21-gene RS assay improved the MDT compliance rate in patients with early breast cancer. Adherence to MDT is associated with a better prognosis.
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Affiliation(s)
- Liangqiang Li
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Breast Surgery, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Jing Yu
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kunwei Shen
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaosong Chen
- Department of General Surgery, Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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150
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Feinberg J, Da Cruz Paula A, da Silva EM, Pareja F, Patel J, Zhu Y, Selenica P, Leitao MM, Abu-Rustum NR, Reis-Filho JS, Joehlin-Price A, Weigelt B. Adenoid cystic carcinoma of the Bartholin's gland is underpinned by MYB- and MYBL1- rearrangements. Gynecol Oncol 2024; 185:58-67. [PMID: 38368814 PMCID: PMC11179993 DOI: 10.1016/j.ygyno.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 02/09/2024] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Adenoid cystic carcinoma (AdCC) of the Bartholin's gland (AdCC-BG) is a very rare gynecologic vulvar malignancy. AdCC-BGs are slow-growing but locally aggressive and are associated with high recurrence rates. Here we sought to characterize the molecular underpinning of AdCC-BGs. METHODS AdCC-BGs (n = 6) were subjected to a combination of RNA-sequencing, targeted DNA-sequencing, reverse-transcription PCR, fluorescence in situ hybridization (FISH) and MYB immunohistochemistry (IHC). Clinicopathologic variables, somatic mutations, copy number alterations and chimeric transcripts were assessed. RESULTS All six AdCC-BGs were biphasic, composed of ductal and myoepithelial cells. Akin to salivary gland and breast AdCCs, three AdCC-BGs had the MYB::NFIB fusion gene with varying breakpoints, all of which were associated with MYB overexpression by IHC. Two AdCC-BGs were underpinned by MYBL1 fusion genes with different gene partners, including MYBL1::RAD51B and MYBL1::EWSR1 gene fusions, and showed MYB protein expression. Although the final AdCC-BG studied had MYB protein overexpression, no gene fusion was identified. AdCC-BGs harbored few additional somatic genetic alterations, and only few mutations in cancer-related genes were identified, including GNAQ, GNAS, KDM6A, AKT1 and BCL2, none of which were recurrent. Two AdCC-BGs, both with a MYB::NFIB fusion gene, developed metastatic disease. CONCLUSIONS AdCC-BGs constitute a convergent phenotype, whereby activation of MYB or MYBL1 can be driven by the MYB::NFIB fusion gene or MYBL1 rearrangements. Our observations further support the notion that AdCCs, irrespective of organ site, constitute a genotypic-phenotypic correlation. Assessment of MYB or MYBL1 rearrangements may be used as an ancillary marker for the diagnosis of AdCC-BGs.
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Affiliation(s)
- Jacqueline Feinberg
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Arnaud Da Cruz Paula
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Edaise M da Silva
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juber Patel
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yingjie Zhu
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pier Selenica
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mario M Leitao
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nadeem R Abu-Rustum
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amy Joehlin-Price
- Cleveland Clinic Pathology and Laboratory Medicine Institute, Cleveland, OH, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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