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Hassan M, Tutar L, Sari-Ak D, Rasul A, Basheer E, Tutar Y. Non-genetic heterogeneity and immune subtyping in breast cancer: Implications for immunotherapy and targeted therapeutics. Transl Oncol 2024; 47:102055. [PMID: 39002207 DOI: 10.1016/j.tranon.2024.102055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/25/2024] [Accepted: 07/01/2024] [Indexed: 07/15/2024] Open
Abstract
Breast cancer (BC) is a complex and multifactorial disease, driven by genetic alterations that promote tumor growth and progression. However, recent research has highlighted the importance of non-genetic factors in shaping cancer evolution and influencing therapeutic outcomes. Non-genetic heterogeneity refers to diverse subpopulations of cancer cells within breast tumors, exhibiting distinct phenotypic and functional properties. These subpopulations can arise through various mechanisms, including clonal evolution, genetic changes, epigenetic changes, and reversible phenotypic transitions. Although genetic and epigenetic changes are important points of the pathology of breast cancer yet, the immune system also plays a crucial role in its progression. In clinical management, histologic and molecular classification of BC are used. Immunological subtyping of BC has gained attention in recent years as compared to traditional techniques. Intratumoral heterogeneity revealed by immunological microenvironment (IME) has opened novel opportunities for immunotherapy research. This systematic review is focused on non-genetic variability to identify and interlink immunological subgroups in breast cancer. This review provides a deep understanding of adaptive methods adopted by tumor cells to withstand changes in the tumor microenvironment and selective pressure imposed by medications. These adaptive methods include alterations in drug targets, immune system evasion, activation of survival pathways, and alterations in metabolism. Understanding non-genetic heterogeneity is essential for the development of targeted therapies.
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Affiliation(s)
- Mudassir Hassan
- Department of Zoology, Government College University Faisalabad, Faisalabad, Punjab 38000, Pakistan
| | - Lütfi Tutar
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Kırsehir Ahi Evran University, Kırsehir, Turkey
| | - Duygu Sari-Ak
- Department of Medical Biology, Hamidiye International School of Medicine, University of Health Sciences, Istanbul 34668, Turkey
| | - Azhar Rasul
- Department of Zoology, Government College University Faisalabad, Faisalabad, Punjab 38000, Pakistan
| | - Ejaz Basheer
- Department of Pharmacognosy, Faculty of Pharmaceutical, Sciences Government College University Faisalabad, Pakistan
| | - Yusuf Tutar
- Faculty of Medicine, Division of Biochemistry, Recep Tayyip Erdogan University, Rize, Turkey.
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Gerashchenko T, Frolova A, Patysheva M, Fedorov A, Stakheyeva M, Denisov E, Cherdyntseva N. Breast Cancer Immune Landscape: Interplay Between Systemic and Local Immunity. Adv Biol (Weinh) 2024; 8:e2400140. [PMID: 38727796 DOI: 10.1002/adbi.202400140] [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: 03/12/2024] [Revised: 04/16/2024] [Indexed: 07/13/2024]
Abstract
Breast cancer (BC) is one of the most common malignancies in women worldwide. Numerous studies in immuno-oncology and successful trials of immunotherapy have demonstrated the causal role of the immune system in cancer pathogenesis. The interaction between the tumor and the immune system is known to have a dual nature. Despite cytotoxic lymphocyte activity against transformed cells, a tumor can escape immune surveillance and leverage chronic inflammation to maintain its own development. Research on antitumor immunity primarily focuses on the role of the tumor microenvironment, whereas the systemic immune response beyond the tumor site is described less thoroughly. Here, a comprehensive review of the formation of the immune profile in breast cancer patients is offered. The interplay between systemic and local immune reactions as self-sustaining mechanism of tumor progression is described and the functional activity of the main cell populations related to innate and adaptive immunity is discussed. Additionally, the interaction between different functional levels of the immune system and their contribution to the development of the pro- or anti-tumor immune response in BC is highlighted. The presented data can potentially inform the development of new immunotherapy strategies in the treatment of patients with BC.
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Affiliation(s)
- Tatiana Gerashchenko
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Anastasia Frolova
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
- Tomsk State University, 36 Lenin Ave., Tomsk, 634050, Russia
| | - Marina Patysheva
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Anton Fedorov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Marina Stakheyeva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Evgeny Denisov
- Laboratory of Cancer Progression Biology, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
| | - Nadezda Cherdyntseva
- Laboratory of Molecular Oncology and Immunology, Cancer Research Institute, Tomsk National Researc, Medical Center, Russian Academy of Sciences, Kooperativny Str. 5, Tomsk, 634009, Russia
- Tomsk State University, 36 Lenin Ave., Tomsk, 634050, Russia
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3
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Liu X, Cheng X, Xie F, Li K, Shi Y, Shao B, Liang X, Wan F, Jia S, Zhang Y, Liu Y, Li H. Persistence of peripheral CD8 + CD28- T cells indicates a favourable outcome and tumour immunity in first-line HER2-positive metastatic breast cancer. Br J Cancer 2024; 130:1599-1608. [PMID: 38519706 PMCID: PMC11091143 DOI: 10.1038/s41416-024-02610-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND The contradictory role of CD8 + CD28- T cells in tumour immunity has been reported, while their biological and clinical significance in HER2-positive metastatic breast cancer (MBC) is still unknown. METHODS HER2-positive MBC patients with no prior therapy in the metastatic setting were retrospectively recruited at two medical centres. Peripheral CD8 + CD28- T cells (pTCD8+CD28-) were detected at baseline and following therapeutic intervals. Progression-free survival (PFS) was compared according to pTCD8+CD28- levels. The molecular features of pTCD8+CD28- and its correlation with tumour immunity were also investigated. RESULTS A total of 252 patients were enrolled, and the median follow-up time was 29.6 months. pTCD8+CD28- high at baseline has prolonged PFS compared to pTCD8+CD28- low (P = 0.001). Patients who maintained pTCD8+CD28- high had a longer PFS than those who kept pTCD8+CD28- low (P < 0.001). The enhanced pTCD8+CD28- level also indicates a longer PFS compared to pTCD8+CD28- low (P = 0.025). Here, pTCD8+CD28- was demonstrated as an antigen-experienced effector T cell. Higher IL-2 level (P = 0.034) and lower TGF-β level (P = 0.016) in the serum and highly infiltrated CD8 + CD28- T cells (P = 0.037) were also connected to pTCD8+CD28- high. CONCLUSIONS High pTCD8+CD28- level is associated with a favourable tumour immunity and a better PFS of HER2-targeting therapy in MBC patients.
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Affiliation(s)
- Xiaoran Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China
| | - Xiangming Cheng
- Jin Xiang People's Hospital, Department of Hematologic Oncology, Jining, Shandong, China
| | - Feng Xie
- Huidu (Shanghai) Medical Sciences, Ltd., Shanghai, China
| | - Kun Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China
| | - Yongcan Shi
- Jin Xiang People's Hospital, Department of Hematologic Oncology, Jining, Shandong, China
| | - Bin Shao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China
| | - Xu Liang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China
| | - Fengling Wan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China
| | - Shidong Jia
- Huidu (Shanghai) Medical Sciences, Ltd., Shanghai, China
| | - Yue Zhang
- Huidu (Shanghai) Medical Sciences, Ltd., Shanghai, China
| | - Yiqiang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China.
| | - Huiping Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Fu-Cheng road No. 52, Hai-Dian District, Beijing, China.
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Mares-Quiñones MD, Galán-Vásquez E, Pérez-Rueda E, Pérez-Ishiwara DG, Medel-Flores MO, Gómez-García MDC. Identification of modules and key genes associated with breast cancer subtypes through network analysis. Sci Rep 2024; 14:12350. [PMID: 38811600 PMCID: PMC11137066 DOI: 10.1038/s41598-024-61908-4] [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: 07/13/2023] [Accepted: 05/10/2024] [Indexed: 05/31/2024] Open
Abstract
Breast cancer is the most common malignancy in women around the world. Intratumor and intertumoral heterogeneity persist in mammary tumors. Therefore, the identification of biomarkers is essential for the treatment of this malignancy. This study analyzed 28,143 genes expressed in 49 breast cancer cell lines using a Weighted Gene Co-expression Network Analysis to determine specific target proteins for Basal A, Basal B, Luminal A, Luminal B, and HER2 ampl breast cancer subtypes. Sixty-five modules were identified, of which five were characterized as having a high correlation with breast cancer subtypes. Genes overexpressed in the tumor were found to participate in the following mechanisms: regulation of the apoptotic process, transcriptional regulation, angiogenesis, signaling, and cellular survival. In particular, we identified the following genes, considered as hubs: IFIT3, an inhibitor of viral and cellular processes; ETS1, a transcription factor involved in cell death and tumorigenesis; ENSG00000259723 lncRNA, expressed in cancers; AL033519.3, a hypothetical gene; and TMEM86A, important for regulating keratinocyte membrane properties, considered as a key in Basal A, Basal B, Luminal A, Luminal B, and HER2 ampl breast cancer subtypes, respectively. The modules and genes identified in this work can be used to identify possible biomarkers or therapeutic targets in different breast cancer subtypes.
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Affiliation(s)
- María Daniela Mares-Quiñones
- Laboratorio de Biomedicina Molecular, Programa de Doctorado en Biotecnología, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - Edgardo Galán-Vásquez
- Departamento de Ingeniería de Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México, Mexico
| | - Ernesto Pérez-Rueda
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Unidad Académica del Estado de Yucatán, Mérida, Mexico
| | - D Guillermo Pérez-Ishiwara
- Laboratorio de Biomedicina Molecular, Programa de Doctorado en Biotecnología, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - María Olivia Medel-Flores
- Laboratorio de Biomedicina Molecular, Programa de Doctorado en Biotecnología, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, Mexico
| | - María Del Consuelo Gómez-García
- Laboratorio de Biomedicina Molecular, Programa de Doctorado en Biotecnología, Escuela Nacional de Medicina y Homeopatía, Instituto Politécnico Nacional, Ciudad de México, Mexico.
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Otterlei Fjørtoft M, Huse K, Rye IH. The Tumor Immune Microenvironment in Breast Cancer Progression. Acta Oncol 2024; 63:359-367. [PMID: 38779867 DOI: 10.2340/1651-226x.2024.33008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/12/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND The tumor microenvironment significantly influences breast cancer development, progression, and metastasis. Various immune cell populations, including T cells, B cells, NK cells, and myeloid cells exhibit diverse functions in different breast cancer subtypes, contributing to both anti-tumor and pro-tumor activities. PURPOSE This review provides an overview of the predominant immune cell populations in breast cancer subtypes, elucidating their suppressive and prognostic effects. We aim to outline the role of the immune microenvironment from normal breast tissue to invasive cancer and distant metastasis. METHODS A comprehensive literature review was conducted to analyze the involvement of immune cells throughout breast cancer progression. RESULTS In breast cancer, tumors exhibit increased immune cell infiltration compared to normal tissue. Variations exist across subtypes, with higher levels observed in triple-negative and HER2+ tumors are linked to better survival. In contrast, ER+ tumors display lower immune infiltration, associated with poorer outcomes. Furthermore, metastatic sites commonly exhibit a more immunosuppressive microenvironment. CONCLUSION Understanding the complex interaction between tumor and immune cells during breast cancer progression is essential for future research and the development of immune-based strategies. This comprehensive understanding may pave the way for more effective treatment approaches and improved patients outcomes.
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Affiliation(s)
- Marit Otterlei Fjørtoft
- Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Kanutte Huse
- Department of Cancer Immunology, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway
| | - Inga Hansine Rye
- Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Radium Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
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Wang Y, Ma Q, Wang T, Xing J, Li Q, Wang D, Wang G. The involvement and application potential of exosomes in breast cancer immunotherapy. Front Immunol 2024; 15:1384946. [PMID: 38835784 PMCID: PMC11148227 DOI: 10.3389/fimmu.2024.1384946] [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: 02/11/2024] [Accepted: 04/29/2024] [Indexed: 06/06/2024] Open
Abstract
Breast cancer has a high incidence and a heightened propensity for metastasis. The absence of precise targets for effective intervention makes it imperative to devise enhanced treatment strategies. Exosomes, characterized by a lipid bilayer and ranging in size from 30 to 150 nm, can be actively released by various cells, including those in tumors. Exosomes derived from distinct subsets of immune cells have been shown to modulate the immune microenvironment within tumors and influence breast cancer progression. In addition, tumor-derived exosomes have been shown to contribute to breast cancer development and progression and may become a new target for breast cancer immunotherapy. Tumor immunotherapy has become an option for managing tumors, and exosomes have become therapeutic vectors that can be used for various pathological conditions. Edited exosomes can be used as nanoscale drug delivery systems for breast cancer therapy, contributing to the remodeling of immunosuppressive tumor microenvironments and influencing the efficacy of immunotherapy. This review discusses the regulatory role of exosomes from different cells in breast cancer and the latest applications of exosomes as nanoscale drug delivery systems and immunotherapeutic agents in breast cancer, showing the development prospects of exosomes in the clinical treatment of breast cancer.
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Affiliation(s)
- Yun Wang
- Department of Thoracic Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Qiji Ma
- Department of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Tielin Wang
- College of Acupuncture-Moxibustion and Tuina, Changchun University of Chinese Medicine, Changchun, China
| | - Jie Xing
- Department of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China
| | - Qirong Li
- Laboratory Animal Center, College of Animal Science, Jilin University, Changchun, China
| | - Dongxu Wang
- Laboratory Animal Center, College of Animal Science, Jilin University, Changchun, China
| | - Gang Wang
- Department of Breast and Thyroid Surgery, The Affliated Hospital to Changchun University of Chinese Medicine, Changchun, China
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Yu K, Xu C, Wang F, Wang H. Identification of the new molecular subtypes related to inflammation in breast cancer. Medicine (Baltimore) 2024; 103:e38146. [PMID: 38728446 PMCID: PMC11081544 DOI: 10.1097/md.0000000000038146] [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: 01/03/2024] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Breast cancer is a prevalent ailment among women, and the inflammatory response plays a crucial role in the management and prediction of breast cancer (BRCA). However, the new subtypes based on inflammation in BRCA research are still undefined. The databases including The Cancer Genome Atlas and gene expression omnibus were utilized to gather clinical data and somatic mutation information for approximately 1069 BRCA patients. Through Consensus Clustering, novel subtypes linked to inflammation were identified. A comparative analysis was conducted on the prognosis, and immune cell infiltration, and somatic mutation of the new subtypes. Additionally, an investigation into drug therapy and immunotherapy was conducted to distinguish high-risk individuals from low-risk ones. The findings of this investigation proposed the categorization of BRCA into innovative subtypes predicated on the inflammatory response and 6 key genes were a meaningful approach. Specifically, the low-, medium-, and high-inflammation subtypes exhibited varying degrees of association with clinicopathological features, tumor microenvironment, and prognosis. Notably, the high-inflammation subtype was characterized by a strong correlation with immunosuppressive microenvironments and a higher frequency of somatic mutations, which was an indication of poorer health. This study revealed that a brand-new classification could throw new light on the effective prognosis. The integration of multiple key genes was a new characterization that could promote more immunotherapy strategies and contribute to predicting the efficacy of the chemotherapeutic drugs.
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Affiliation(s)
- Ke Yu
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
- Department of Breast and Thyroid Surgery, Clinical Medicine, Medical College, Nantong University, Nantong, Jiangsu Province, China
| | - Chi Xu
- Department of Breast and Thyroid Surgery, Clinical Medicine, Medical College, Nantong University, Nantong, Jiangsu Province, China
- Department of Gastroenterology, Affiliated of Nantong University, Nantong, Jiangsu Province, China
| | - Feng Wang
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
| | - Hua Wang
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu Province, China
- Department of Breast and Thyroid Surgery, Clinical Medicine, Medical College, Nantong University, Nantong, Jiangsu Province, China
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8
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Kotsifaki A, Maroulaki S, Armakolas A. Exploring the Immunological Profile in Breast Cancer: Recent Advances in Diagnosis and Prognosis through Circulating Tumor Cells. Int J Mol Sci 2024; 25:4832. [PMID: 38732051 PMCID: PMC11084220 DOI: 10.3390/ijms25094832] [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: 03/15/2024] [Revised: 04/25/2024] [Accepted: 04/25/2024] [Indexed: 05/13/2024] Open
Abstract
This review offers a comprehensive exploration of the intricate immunological landscape of breast cancer (BC), focusing on recent advances in diagnosis and prognosis through the analysis of circulating tumor cells (CTCs). Positioned within the broader context of BC research, it underscores the pivotal role of the immune system in shaping the disease's progression. The primary objective of this investigation is to synthesize current knowledge on the immunological aspects of BC, with a particular emphasis on the diagnostic and prognostic potential offered by CTCs. This review adopts a thorough examination of the relevant literature, incorporating recent breakthroughs in the field. The methodology section succinctly outlines the approach, with a specific focus on CTC analysis and its implications for BC diagnosis and prognosis. Through this review, insights into the dynamic interplay between the immune system and BC are highlighted, with a specific emphasis on the role of CTCs in advancing diagnostic methodologies and refining prognostic assessments. Furthermore, this review presents objective and substantiated results, contributing to a deeper understanding of the immunological complexity in BC. In conclusion, this investigation underscores the significance of exploring the immunological profile of BC patients, providing valuable insights into novel advances in diagnosis and prognosis through the utilization of CTCs. The objective presentation of findings emphasizes the crucial role of the immune system in BC dynamics, thereby opening avenues for enhanced clinical management strategies.
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Affiliation(s)
| | | | - Athanasios Armakolas
- Physiology Laboratory, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (A.K.); (S.M.)
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Białek M, Lepionka T, Wojtak W, Ruszczyńska A, Bulska E, Czauderna M, Białek A. Splenic Elemental Composition of Breast Cancer-Suffering Rats Supplemented with Pomegranate Seed Oil and Bitter Melon Extract. Molecules 2024; 29:1942. [PMID: 38731433 PMCID: PMC11085740 DOI: 10.3390/molecules29091942] [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: 03/14/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
The aim of this study was to investigate how dietary modifications with pomegranate seed oil (PSO) and bitter melon aqueous extract (BME) affect mineral content in the spleen of rats both under normal physiological conditions and with coexisting mammary tumorigenesis. The diet of Sprague-Dawley female rats was supplemented either with PSO or with BME, or with a combination for 21 weeks. A chemical carcinogen (7,12-dimethylbenz[a]anthracene) was applied intragastrically to induce mammary tumors. In the spleen of rats, the selected elements were determined with a quadrupole mass spectrometer with inductively coupled plasma ionization (ICP-MS). ANOVA was used to evaluate differences in elemental composition among experimental groups. Multivariate statistical methods were used to discover whether some subtle dependencies exist between experimental factors and thus influence the element content. Experimental factors affected the splenic levels of macroelements, except for potassium. Both diet modification and the cancerogenic process resulted in significant changes in the content of Fe, Se, Co, Cr, Ni, Al, Sr, Pb, Cd, B, and Tl in rat spleen. Chemometric analysis revealed the greatest impact of the ongoing carcinogenic process on the mineral composition of the spleen. The obtained results may contribute to a better understanding of peripheral immune organ functioning, especially during the neoplastic process, and thus may help develop anticancer prevention and treatment strategies.
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Affiliation(s)
- Małgorzata Białek
- The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, Instytucka 3, 05-110 Jabłonna, Poland; (W.W.); (M.C.); (A.B.)
| | - Tomasz Lepionka
- The Biological Threats Identification and Countermeasure Center of the General Karol Kaczkowski Military Institute of Hygiene and Epidemiology, Lubelska 4 St., 24-100 Puławy, Poland;
| | - Wiktoria Wojtak
- The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, Instytucka 3, 05-110 Jabłonna, Poland; (W.W.); (M.C.); (A.B.)
| | - Anna Ruszczyńska
- Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland; (A.R.); (E.B.)
| | - Ewa Bulska
- Biological and Chemical Research Centre, Faculty of Chemistry, University of Warsaw, Żwirki i Wigury 101, 02-089 Warsaw, Poland; (A.R.); (E.B.)
| | - Marian Czauderna
- The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, Instytucka 3, 05-110 Jabłonna, Poland; (W.W.); (M.C.); (A.B.)
| | - Agnieszka Białek
- The Kielanowski Institute of Animal Physiology and Nutrition, Polish Academy of Sciences, Instytucka 3, 05-110 Jabłonna, Poland; (W.W.); (M.C.); (A.B.)
- School of Health and Medical Sciences, University of Economics and Human Sciences in Warsaw, Okopowa 59, 01-043 Warsaw, Poland
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10
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Tao J, Shen L, Zhuang M, Zhai C, Zeng H, Mao Y, Liu X. Suppression of AGRN enhances CD8+ T cell recruitment and inhibits breast cancer progression. FASEB J 2024; 38:e23582. [PMID: 38568853 DOI: 10.1096/fj.202302288r] [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: 11/06/2023] [Revised: 01/24/2024] [Accepted: 03/15/2024] [Indexed: 04/05/2024]
Abstract
Breast cancer (BC) stands as a prominent contributor to global cancer-related mortality, with an increasing incidence annually. This study aims to investigate AGRN gene expression in BC, as well as explore its influence on the tumor immune microenvironment. AGRN displayed a pronounced upregulation in BC tissues relative to paracancerous tissues. Single-cell RNA analysis highlighted AGRN-specific elevation within cancer cell clusters and also showed expression expressed in stromal as well as immune cell clusters. AGRN upregulation was positively correlated with clinicopathological stage and negatively correlated with BC prognosis. As revealed by the in vitro experiment, AGRN knockdown effectively hinders BC cells in terms of proliferation, invasion as well as migration. AGRN protein, which may interact with EXT1, LRP4, RAPSN, etc., was primarily distributed in the cell cytoplasm. Notably, immune factors might interact with AGRN in BC, evidenced by its discernible associations with immunofactors like IL10, CD274, and PVRL2. Mass spectrometry and immunohistochemistry revealed that the reduction of AGRN led to an increase in CD8+ T cells with triple-negative breast cancer (TNBC). Mechanistically, the connection between TRIM7 and PD-L1 is improved by AGRN, acting as a scaffold, thereby facilitating the accelerated degradation of PD-L1 by TRIM7. Downregulation of AGRN inhibits BC progression and increases CD8+ T cell recruitment. Targeting AGRN may contribute to BC treatment. The biomarker AGRN, serving as a therapeutic target for BC, emerges as a prospective avenue for enhancing both diagnosis and prognosis in BC cases.
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Affiliation(s)
- Jing Tao
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Li Shen
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Minyu Zhuang
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Changyuan Zhai
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Hanling Zeng
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Yuan Mao
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Xiaoan Liu
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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11
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Weng L, Zhou J, Guo S, Xu N, Ma R. The molecular subtyping and precision medicine in triple-negative breast cancer---based on Fudan TNBC classification. Cancer Cell Int 2024; 24:120. [PMID: 38555429 PMCID: PMC10981301 DOI: 10.1186/s12935-024-03261-0] [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: 09/29/2023] [Accepted: 02/02/2024] [Indexed: 04/02/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is widely recognized as the most aggressive form of breast cancer, occurring more frequently in younger patients and characterized by high heterogeneity, early distant metastases and poor prognosis. Multiple treatment options have failed to achieve the expected therapeutic effects due to the lack of clear molecular targets. Based on genomics, transcriptomics and metabolomics, the multi-omics analysis further clarifies TNBC subtyping, which provides a greater understanding of tumour heterogeneity and targeted therapy sensitivity. For instance, the luminal androgen receptor subtype (LAR) exhibits responsiveness to anti-AR therapy, and the basal-like immune-suppressed subtype (BLIS) tends to benefit from poly (ADP-ribose) polymerase inhibitors (PARPis) and anti-angiogenic therapy. The efficacy of multi-dimensional combination therapy holds immense importance in guiding personalized and precision medicine for TNBC. This review offers a systematic overview of recent FuDan TNBC molecular subtyping and its role in the instruction of clinical precision therapy.
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Affiliation(s)
- Lijuan Weng
- Department of Medical Oncology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
- Department of Radiotherapy and Chemotherapy, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Jianliang Zhou
- Department of Radiotherapy and Chemotherapy, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Shenchao Guo
- Department of Radiotherapy and Chemotherapy, The First Affiliated Hospital of Ningbo University, Ningbo, China
| | - Nong Xu
- Department of Medical Oncology, The First Affiliated Hospital of Zhejiang University, Hangzhou, China.
| | - Ruishuang Ma
- Department of Radiotherapy and Chemotherapy, The First Affiliated Hospital of Ningbo University, Ningbo, China.
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12
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Sheva K, Roy Chowdhury S, Kravchenko-Balasha N, Meirovitz A. Molecular Changes in Breast Cancer Induced by Radiation Therapy. Int J Radiat Oncol Biol Phys 2024:S0360-3016(24)00435-8. [PMID: 38508467 DOI: 10.1016/j.ijrobp.2024.03.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 02/29/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
PURPOSE Breast cancer treatments are based on prognostic clinicopathologic features that form the basis for therapeutic guidelines. Although the utilization of these guidelines has decreased breast cancer-associated mortality rates over the past three decades, they are not adequate for individualized therapy. Radiation therapy (RT) is the backbone of breast cancer treatment. Although a highly successful therapeutic modality clinically, from a biological perspective, preclinical studies have shown RT to have the potential to alter tumor cell phenotype, immunogenicity, and the surrounding microenvironment, potentially changing the behavior of cancer cells and resulting in a significant variation in RT response. This review presents the recent advances in revealing the complex molecular changes induced by RT in the treatment of breast cancer and highlights the complexities of translating this information into clinically relevant tools for improved prognostic insights and the revelation of novel approaches for optimizing RT. METHODS AND MATERIALS Current literature was reviewed with a focus on recent advances made in the elucidation of tumor-associated radiation-induced molecular changes across molecular, genetic, and proteomic bases. This review was structured with the aim of providing an up-to-date overview over the very broad and complex subject matter of radiation-induced molecular changes and radioresistance, familiarizing the reader with the broader issue at hand. RESULTS The subject of radiation-induced molecular changes in breast cancer has been broached from various physiological focal points including that of the immune system, immunogenicity and the abscopal effect, tumor hypoxia, breast cancer classification and subtyping, molecular heterogeneity, and molecular plasticity. It is becoming increasingly apparent that breast cancer clinical subtyping alone does not adequately account for variation in RT response or radioresistance. Multiple components of the tumor microenvironment and immune system, delivered RT dose and fractionation schedules, radiation-induced bystander effects, and intrinsic tumor physiology and heterogeneity all contribute to the resultant RT outcome. CONCLUSIONS Despite recent advances and improvements in anticancer therapies, tumor resistance remains a significant challenge. As new analytical techniques and technologies continue to provide crucial insight into the complex molecular mechanisms of breast cancer and its treatment responses, it is becoming more evident that personalized anticancer treatment regimens may be vital in overcoming radioresistance.
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Affiliation(s)
- Kim Sheva
- The Legacy Heritage Oncology Center & Dr Larry Norton Institute, Soroka University Medical Center, Ben Gurion University of the Negev, Faculty of Medicine, Be'er Sheva, Israel.
| | - Sangita Roy Chowdhury
- The Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Nataly Kravchenko-Balasha
- The Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem, Israel.
| | - Amichay Meirovitz
- The Legacy Heritage Oncology Center & Dr Larry Norton Institute, Soroka University Medical Center, Ben Gurion University of the Negev, Faculty of Medicine, Be'er Sheva, Israel.
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13
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Libring S, Berestesky ED, Reinhart-King CA. The movement of mitochondria in breast cancer: internal motility and intercellular transfer of mitochondria. Clin Exp Metastasis 2024:10.1007/s10585-024-10269-3. [PMID: 38489056 DOI: 10.1007/s10585-024-10269-3] [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: 08/18/2023] [Accepted: 01/18/2024] [Indexed: 03/17/2024]
Abstract
As a major energy source for cells, mitochondria are involved in cell growth and proliferation, as well as migration, cell fate decisions, and many other aspects of cellular function. Once thought to be irreparably defective, mitochondrial function in cancer cells has found renewed interest, from suggested potential clinical biomarkers to mitochondria-targeting therapies. Here, we will focus on the effect of mitochondria movement on breast cancer progression. Mitochondria move both within the cell, such as to localize to areas of high energetic need, and between cells, where cells within the stroma have been shown to donate their mitochondria to breast cancer cells via multiple methods including tunneling nanotubes. The donation of mitochondria has been seen to increase the aggressiveness and chemoresistance of breast cancer cells, which has increased recent efforts to uncover the mechanisms of mitochondrial transfer. As metabolism and energetics are gaining attention as clinical targets, a better understanding of mitochondrial function and implications in cancer are required for developing effective, targeted therapeutics for cancer patients.
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Affiliation(s)
- Sarah Libring
- Department of Biomedical Engineering, Vanderbilt University, 440 Engineering and Science Building, 1212 25thAvenue South, Nashville, TN, 37235, USA
| | - Emily D Berestesky
- Department of Biomedical Engineering, Vanderbilt University, 440 Engineering and Science Building, 1212 25thAvenue South, Nashville, TN, 37235, USA
| | - Cynthia A Reinhart-King
- Department of Biomedical Engineering, Vanderbilt University, 440 Engineering and Science Building, 1212 25thAvenue South, Nashville, TN, 37235, USA.
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14
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Xiang Q, Liu Y, Xiao J, Ou L, Du J. Prognostic Value of Lymphocyte-to-Monocyte Ratio (LMR) in Patients With Prostate Cancer: A Systematic Review and Meta-Analysis. Am J Mens Health 2024; 18:15579883241234747. [PMID: 38514969 PMCID: PMC10958819 DOI: 10.1177/15579883241234747] [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: 05/06/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 03/23/2024] Open
Abstract
The objective of this study is to evaluate the prognostic value of lymphocyte-to-monocyte ratio (LMR) in patients with prostate cancer (PCa) by a method of meta-analysis. China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, Web of Science, Cochrane Library, and Embase were searched to collect relevant literature until March 2023. The Newcastle-Ottawa Scale was used to assess the bias risk of the literature included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the prognostic value of LMR in PCa. Stata 15.0 statistical software was used for data analysis. A total of six published articles were included in this meta-analysis, containing 1,104 patients with PCa. The results of the meta-analysis indicated better overall survival (OS; HR = 1.73, 95% CI: 1.73, p = .001) and progression-free survival (PFS; HR = 2.63, 95% CI: 1.58~4.38, p < .001) in patients with PCa with low LMR compared with high LMR. In conclusion, compared with low LMR, PCa patients with high LMR have a better prognosis. LMR is an independent risk factor affecting the long-term prognosis of patients with PCa. The detection of LMR before treatment is of certain significance in judging the clinical prognosis of patients with PCa.
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Affiliation(s)
- Qin Xiang
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Yueguang Liu
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Junwen Xiao
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Longhua Ou
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Jianhui Du
- Department of Urology, People’s Hospital of Guang’an, Guang’an, China
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15
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Kaur K, Jewett A. Osteoclasts and Probiotics Mediate Significant Expansion, Functional Activation and Supercharging in NK, γδ T, and CD3+ T Cells: Use in Cancer Immunotherapy. Cells 2024; 13:213. [PMID: 38334605 PMCID: PMC10854567 DOI: 10.3390/cells13030213] [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: 11/20/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
Our previous studies have introduced osteoclasts (OCs) as major activators of NK cells. It was found that OCs exhibit the capabilities of inducing cell expansion as well as increasing the cytotoxic activity of NK cells by granule release and increasing the secretion of TNF-α and TRAIL, leading to increased lysis of tumors in short-term as well as long-term periods, respectively. OC- induced expanded NK cells were named supercharged NK cells (sNK) due to their significantly high functional activity as well as their significantly higher cell expansion rate. It is, however, unclear whether the OC-mediated effect in NK cells is specific or whether other cytotoxic immune cells can also be expanded and activated by OCs. We chose to focus on γδ T cells and pan T cells, which also include CD8+ T cells. In this paper, we report that OCs are capable of expanding and functionally activating both γδ T cells and pan T cells. Expanded γδ T and pan T cells were capable of secreting high levels of INF-γ, albeit with different dynamics to those of NK cells, and, moreover, they are unable to kill NK-specific targets. Since we used humanized-BLT (hu-BLT) mice as a model of human disease, we next determined whether NK and T cell activation through OCs is also evident in cells obtained from hu-BLT mice. Similar to humans, OCs were capable of increasing the cell expansion and secretion of IFN-γ in the culture of either NK or T cells from hu-BLT mice, providing yet further evidence that these mice are appropriate models to study human disease. Therefore, these studies indicated that CD3+ T or γδ T cells can proliferate and be supercharged by OCs similar to the NK cells; thus, they can be used individually or in combination in the cell therapy of cancers.
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Affiliation(s)
- Kawaljit Kaur
- Division of Oral Biology and Medicine, School of Dentistry and Medicine, University of California, Los Angeles, CA 90095, USA;
| | - Anahid Jewett
- Division of Oral Biology and Medicine, School of Dentistry and Medicine, University of California, Los Angeles, CA 90095, USA;
- The Jonsson Comprehensive Cancer Center, School of Dentistry and Medicine, University of California, Los Angeles, CA 90095, USA
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16
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Zhang H, Li Y, Liu G, Chen X. Expression analysis of lymphocyte subsets and lymphocyte-to-monocyte ratio: reveling immunosuppression and chronic inflammation in breast cancer. J Cancer Res Clin Oncol 2024; 150:28. [PMID: 38263363 PMCID: PMC10805813 DOI: 10.1007/s00432-023-05508-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 11/06/2023] [Indexed: 01/25/2024]
Abstract
OBJECTIVE To explore the immune status and chronic inflammation of breast cancer patients, this study aims to analyze the diagnostic value of peripheral blood lymphocyte subsets (CD3+T, CD4+T, CD8+T, CD3+CD4-CD8-T, CD19+B, and NK cells) and lymphocyte-to-monocyte ratio (LMR) for breast cancer. Furthermore, it seeks to examine the correlation between these subsets and LMR with clinicopathological features. METHODS A total of 100 breast cancer patients were selected as the experimental group, while 55 patients with benign breast diseases were included in the control group. Statistical analysis, including the Wilcoxon test, Kruskal-Wallis test and the receiver operating characteristic curve, was employed to investigate the association between these serum indexes and the clinicopathological characteristics of the patients. RESULTS The levels of CD3+T cells, CD4+T cells, CD8+T cells, CD4+/CD8+ ratio, NK cells, CD3+CD4-CD8-T cells, and LMR were found to be related to the occurrence of breast cancer when analyzing data from patients with benign and malignant breast diseases. Among these biomarkers, CD3+T cells, CD4+T cells, CD4+/CD8+ ratio, CD3+CD4-CD8-T cells, and LMR were identified as independent risk factors for breast cancer development, and the AUCs were 0.760, 0.750, 0.598, 0.697, and 0.761 (P < 0.05), respectively. Furthermore, we observed varying degrees of differences in the expression of CD3+T cells, CD4+T cells, CD8+T cells, CD4+/CD8+ ratio, and LMR in lymph node metastasis, clinical staging, molecular typing, Ki-67 level (P < 0.05). However, statistical differences in histologic grade and pathology type were not found (P ≥ 0.05). CONCLUSION Lymphocyte subsets and LMR reflect the immune status and chronic inflammation of the body, respectively. They have certain value in the diagnosis of benign and malignant breast diseases, and correlate with lymph node metastasis, clinical staging, molecular typing and other clinicopathological features of breast cancer. Therefore, monitoring the expression of lymphocyte subsets and LMR in the body may help the auxiliary diagnosis and condition analysis of breast cancer in the clinic.
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Affiliation(s)
- Hao Zhang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yan Li
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Gang Liu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xin Chen
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
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17
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Zhou X, Li Z, Chen H, Jiao M, Zhou C, Li H. Relevance Analysis of TPM2 and Clinicopathological Characteristics in Breast Cancer. Int J Gen Med 2024; 17:59-74. [PMID: 38221941 PMCID: PMC10788065 DOI: 10.2147/ijgm.s442004] [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: 10/07/2023] [Accepted: 12/28/2023] [Indexed: 01/16/2024] Open
Abstract
Background The function of tropomyosin 2 (TPM2) in breast cancer is still far understudied. In this study, we aim to explore the roles of TPM2 in breast cancer progression. Methods This research included 155 breast cancer tissues. The expression of TPM2 was analyzed by immunohistochemical staining and grading. The mRNA expression of TPM2 in pan-cancer was analyzed with The Cancer Genome Atlas (TCGA) data plate form. The differential expression of TPM2 protein and the differential promoter methylation level of TPM2 between breast cancer tissues and normal breast tissues were analyzed by the UALCAN online database. The relationship between TPM2 and signaling pathways was interpreted by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) pathway enrichment analyses. The survival curve of TPM2 was analyzed across the Kaplan-Meier plotter online database. Furthermore, the relationship between TPM2 expression and infiltrating macrophages was validated through in vitro co-culture experiments. Results TPM2 expression was significantly down-regulated in breast cancer samples. In addition, TPM2 expression was correlated with lymph node metastasis and high-grade histopathological morphology. The receiver operating characteristic (ROC) curve indicated that TPM2 expression could well distinguish between normal breast tissue and breast cancer tissue. TPM2 may have potential value in breast cancer diagnosis. Bioinformatics analysis illustrated that TPM2 was mainly involved in extracellular matrix organization, collagen fibril organization, cell junction assembly, focal adhesion, cAMP signaling pathway, estrogen signaling pathway, Wnt signaling pathway, and adaptive immune system. TPM2 expression was correlated with immune infiltrating cells and immune checkpoint molecules. Our in vitro co-culture experiments showed that the M2 macrophages could upregulate the expression of TPM2. Conclusion TPM2 may play key roles in breast cancer occurrence and development, especially in cancer metastasis. TPM2 may be a potential biomarker for breast cancer diagnosis.
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Affiliation(s)
- Xingchen Zhou
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
| | - Zhishuang Li
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
| | - Huan Chen
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
| | - Meng Jiao
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
| | - Chengjun Zhou
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
| | - Hui Li
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, People’s Republic of China
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18
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Yu H, Liu J. Identification of breast cancer subgroups and immune characterization based on glutamine metabolism-related genes. BMC Med Genomics 2024; 17:17. [PMID: 38200578 PMCID: PMC10782609 DOI: 10.1186/s12920-023-01792-5] [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: 10/12/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
Immunotherapy is a promising treatment for breast cancer (BC). However, due to individual differences and tumor heterogeneity, immunotherapy is only applicable to some BC patients. Glutamine metabolism plays a role in inhibiting immunotherapy, but its role in BC is limitedly studied. Therefore, we aimed to identify different BC subgroups based on glutamine metabolism and characterize the features of different subgroups to provide guidance for personalized immunotherapy for BC patients. Using unsupervised clustering analysis, we classified BC patients in The Cancer Genome Atlas (TCGA) with glutamine metabolism-related genes and obtained low-risk (LR) and high-risk (HR) subgroups. Survival analysis revealed that prognosis of LR subgroup was notably better than HR subgroup. Through ssGSEA and CIBERSORT methods, we disclosed that infiltration levels of B cells, Mast cells, T helper cells, and Th2 cells, and Type II IFN Response immune function were notably higher in LR subgroup than in HR subgroup. The Wilcox algorithm comparison denoted that DEPTH of LR subgroup was significantly lower than HR subgroup. The TIDE of LR subgroup was significantly higher than HR subgroup. Functional annotation of differentially expressed genes revealed that channel activity and the Estrogen signaling pathway may be related to BC prognosis. Ten hub genes were selected between the subgroups through the STRING database and Cytoscape, and their correlation with drugs was predicted on the CellMiner website. This study analyzed the immune characteristics of BC subgroups based on glutamine metabolism and provided reference for prognosis prediction and personalized immunotherapy.
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Affiliation(s)
- Hongjing Yu
- Department of Oncology, Jiande Branch, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
| | - Junchen Liu
- Department of Pharmacy, Jiande Branch, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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19
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Lima BM, de Azevedo ALK, Giner IS, Gomig THB, Ribeiro EMDSF, Cavalli IJ. Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance. Genet Mol Biol 2023; 46:e20220346. [PMID: 38100720 PMCID: PMC10723634 DOI: 10.1590/1678-4685-gmb-2022-0346] [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: 11/11/2022] [Accepted: 10/18/2023] [Indexed: 12/17/2023] Open
Abstract
The LEF1/TCF transcription factor family is related to the development of diverse tissue types, including the mammary tissue, and dysregulation of its expression and function has been described to favor breast tumorigenesis. However, the clinical and biological relevance of this gene family in breast cancer is still poorly understood. Here, we used bioinformatics approaches aiming to reduce this gap. We investigated its expression patterns in molecular and immune breast cancer subtypes; its correlation with immune cell infiltration, and its prognostic values in predicting outcomes. Also, through regulons construction, we determined the genes whose expression is influenced by these transcription factors, and the pathways in which they are involved. We found that LEF1 and TCF3 are over-expressed in breast tumors regarding non-tumor samples, while TCF4 and TCF7 are down-expressed, with the gene's methylation status being associated with its expression dysregulation. All four transcription factors presented significance at the diagnostic and prognostic levels. LEF1, TCF4, and TCF7 presented a significant correlation with immune cell infiltration, being associated with the immune subtypes of less favorable outcomes. Altogether, this research contributes to a more accurate understanding of the expression and clinical and biomarker significance of the LEF1/TCF transcription factors in breast cancer.
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Affiliation(s)
- Beatriz Miotto Lima
- Universidade Federal do Paraná, Departamento de Genética,
Curitiba, Paraná, Brasil
| | | | - Igor Samesima Giner
- Universidade Federal do Paraná, Departamento de Genética,
Curitiba, Paraná, Brasil
| | | | | | - Iglenir João Cavalli
- Universidade Federal do Paraná, Departamento de Genética,
Curitiba, Paraná, Brasil
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20
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Ko K, Woo SW, Chae YC, Lee M, Moon HY. Potential involvement of neutrophils on exercise effects in breast cancer malignancy. Phys Act Nutr 2023; 27:41-47. [PMID: 38297475 PMCID: PMC10844724 DOI: 10.20463/pan.2023.0036] [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: 12/07/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 02/02/2024] Open
Abstract
PURPOSE This review aimed to comprehensively explore and elucidate multifaceted neutrophils in breast cancer, particularly in the context of physical activity. Neutrophils play a critical role in the tumor microenvironment and systemic immune response, despite their short half-life and terminal differentiation. Through a thorough review of research related to changes in immunity in breast cancer during exercise, this review aims to provide comprehensive insights into immunological changes, especially focusing on neutrophils. Recognizing that much of the existing research has predominantly focused on T cells and nature killer (NK) cells, our review seeks to shift the spotlight toward understanding how exercise affects neutrophils, a less-explored but critical immune response component in breast cancer. METHODS This study involved an extensive review of the literature (from 2000 to 2023) using the PubMed, Science Direct, and Google Scholar databases. The keywords chosen for the searches were "immune cells and exercise," "exercise and breast cancer," "tumor microenvironment and neutrophils," and "neutrophils and exercise and breast cancers." RESULTS Neutrophils in the tumor microenvironment can exhibit distinct phenotypes and functions. These differences have yielded conflicting results regarding tumor progression. Exercise plays a positive role in breast cancer and alters the immune system. Physical activity can quantitatively and functionally regulate neutrophils under various conditions such as metabolic disruption or senescence. CONCLUSION This short communication outlines exercise-induced neutrophil diversification and its role in breast cancer progression, both within and systemically within the tumor microenvironment. Exercise may provide benefits through the potential neutrophil involvement in breast cancer.
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Affiliation(s)
- Kangeun Ko
- Institute of Sport Science, Seoul National University, Seoul, Republic of Korea
| | - Song Won Woo
- Institute of Sport Science, Seoul National University, Seoul, Republic of Korea
| | - Young Chan Chae
- Department of Biological Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea
| | - Minchul Lee
- Department of Sports Medicine, College of Health Science, CHA University, Pocheon, Republic of Korea
| | - Hyo Youl Moon
- Institute of Sport Science, Seoul National University, Seoul, Republic of Korea
- Department of Physical Education, Seoul National University, Seoul, Republic of Korea
- Institute on Aging, Seoul National University, Seoul, Republic of Korea
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21
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Fan M, Wang K, Zhang Y, Ge Y, Lü Z, Li L. Radiogenomic analysis of cellular tumor-stroma heterogeneity as a prognostic predictor in breast cancer. J Transl Med 2023; 21:851. [PMID: 38007511 PMCID: PMC10675940 DOI: 10.1186/s12967-023-04748-6] [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: 07/21/2023] [Accepted: 11/22/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND The tumor microenvironment and intercellular communication between solid tumors and the surrounding stroma play crucial roles in cancer initiation, progression, and prognosis. Radiomics provides clinically relevant information from radiological images; however, its biological implications in uncovering tumor pathophysiology driven by cellular heterogeneity between the tumor and stroma are largely unknown. We aimed to identify radiogenomic signatures of cellular tumor-stroma heterogeneity (TSH) to improve breast cancer management and prognosis analysis. METHODS This retrospective multicohort study included five datasets. Cell subpopulations were estimated using bulk gene expression data, and the relative difference in cell subpopulations between the tumor and stroma was used as a biomarker to categorize patients into good- and poor-survival groups. A radiogenomic signature-based model utilizing dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was developed to target TSH, and its clinical significance in relation to survival outcomes was independently validated. RESULTS The final cohorts of 1330 women were included for cellular TSH biomarker identification (n = 112, mean age, 57.3 years ± 14.6) and validation (n = 886, mean age, 58.9 years ± 13.1), radiogenomic signature of TSH identification (n = 91, mean age, 55.5 years ± 11.4), and prognostic (n = 241) assessments. The cytotoxic lymphocyte biomarker differentiated patients into good- and poor-survival groups (p < 0.0001) and was independently validated (p = 0.014). The good survival group exhibited denser cell interconnections. The radiogenomic signature of TSH was identified and showed a positive association with overall survival (p = 0.038) and recurrence-free survival (p = 3 × 10-4). CONCLUSION Radiogenomic signatures provide insights into prognostic factors that reflect the imbalanced tumor-stroma environment, thereby presenting breast cancer-specific biological implications and prognostic significance.
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Affiliation(s)
- Ming Fan
- Institute of Intelligent Biomedicine, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Kailang Wang
- Institute of Intelligent Biomedicine, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - You Zhang
- Institute of Intelligent Biomedicine, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Yuanyuan Ge
- Institute of Intelligent Biomedicine, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Zhong Lü
- Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, 322100, China.
| | - Lihua Li
- Institute of Intelligent Biomedicine, Hangzhou Dianzi University, Hangzhou, 310018, China.
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22
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Liu Y, Liu R, Liu H, Lyu T, Chen K, Jin K, Tian Y. Breast tumor-on-chip: from the tumor microenvironment to medical applications. Analyst 2023; 148:5822-5842. [PMID: 37850340 DOI: 10.1039/d3an01295f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Abstract
With the development of microfluidic technology, tumor-on-chip models have gradually become a new tool for the study of breast cancer because they can simulate more key factors of the tumor microenvironment compared with traditional models in vitro. Here, we review up-to-date advancements in breast tumor-on-chip models. We summarize and analyze the breast tumor microenvironment (TME), preclinical breast cancer models for TME simulation, fabrication methods of tumor-on-chip models, tumor-on-chip models for TME reconstruction, and applications of breast tumor-on-chip models and provide a perspective on breast tumor-on-chip models. This review will contribute to the construction and design of microenvironments for breast tumor-on-chip models, even the development of the pharmaceutical field, personalized/precision therapy, and clinical medicine.
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Affiliation(s)
- Yiying Liu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528300, China
| | - Ruonan Liu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
| | - He Liu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
| | - Tong Lyu
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
| | - Kun Chen
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
| | - Kaiming Jin
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
| | - Ye Tian
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528300, China
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23
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Wang Z, Gao Q, Yi X, Zhang X, Zhang Y, Zhang D, Liò P, Bain C, Bassed R, Li S, Guo Y, Imoto S, Yao J, Daly RJ, Song J. Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 241:107733. [PMID: 37572513 DOI: 10.1016/j.cmpb.2023.107733] [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: 04/21/2023] [Revised: 06/12/2023] [Accepted: 07/23/2023] [Indexed: 08/14/2023]
Abstract
BACKGROUND AND OBJECTIVE High-resolution histopathology whole slide images (WSIs) contain abundant valuable information for cancer prognosis. However, most computational pathology methods for survival prediction have weak interpretability and cannot explain the decision-making processes reasonably. To address this issue, we propose a highly interpretable neural network termed pattern-perceptive survival transformer (Surformer) for cancer survival prediction from WSIs. METHODS Notably, Surformer can quantify specific histological patterns through bag-level labels without any patch/cell-level auxiliary information. Specifically, the proposed ratio-reserved cross-attention module (RRCA) generates global and local features with the learnable prototypes (pglobal, plocals) as detectors and quantifies the patches correlative to each plocal in the form of ratio factors (rfs). Afterward, multi-head self&cross-attention modules proceed with the computation for feature enhancement against noise. Eventually, the designed disentangling loss function guides multiple local features to focus on distinct patterns, thereby assisting rfs from RRCA in achieving more explicit histological feature quantification. RESULTS Extensive experiments on five TCGA datasets illustrate that Surformer outperforms existing state-of-the-art methods. In addition, we highlight its interpretation by visualizing rfs distribution across high-risk and low-risk cohorts and retrieving and analyzing critical histological patterns contributing to the survival prediction. CONCLUSIONS Surformer is expected to be exploited as a useful tool for performing histopathology image data-driven analysis and gaining new insights for interpreting the associations between such images and patient survival states.
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Affiliation(s)
- Zhikang Wang
- Xiangya Hospital, Central South University, Changsha, Hunan, PR China; Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia
| | - Qian Gao
- Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Xiaoping Yi
- Xiangya Hospital, Central South University, Changsha, Hunan, PR China
| | - Xinyu Zhang
- Faculty of Information Technology, Monash University, Melbourne, Australia
| | - Yiwen Zhang
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Daokun Zhang
- Faculty of Information Technology, Monash University, Melbourne, Australia
| | - Pietro Liò
- Department of Computer Science and Technology, The University of Cambridge, Cambridge, United Kingdom
| | - Chris Bain
- Faculty of Information Technology, Monash University, Melbourne, Australia
| | - Richard Bassed
- Victorian Institute of Forensic Medicine, Melbourne, Australia
| | - Shanshan Li
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Yuming Guo
- Climate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Seiya Imoto
- Human Genome Center, The Institute of Medical Science, The University of Tokyo, Japan
| | - Jianhua Yao
- Tencent AI Lab, Tencent, Shenzhen, PR China.
| | - Roger J Daly
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
| | - Jiangning Song
- Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia.
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24
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Kooreman LFS, Dieleman S, van Kuijk SMJ, zur Hausen A, Smidt ML, Grabsch HI. The prognostic value of the histological shape of tumor negative sentinel nodes in breast cancer. Front Immunol 2023; 14:1258641. [PMID: 37965336 PMCID: PMC10642264 DOI: 10.3389/fimmu.2023.1258641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/11/2023] [Indexed: 11/16/2023] Open
Abstract
Introduction Sentinel lymph node (SLN) metastasis is an important predictor of prognosis in breast cancer (BC) patients, guiding treatment decisions. However, patients with the same BC subtype and tumor negative SLN (SLNneg) can have different survival outcomes. We hypothesized that the host anti-tumor immune reaction in SLNneg is important and results in morphometrically measurable changes in SLN size or shape which are related to patient prognosis. Methods Surface area, circumference, long axis and short axis were histologically measured in 694 SLNneg from 356 cases of invasive BC and 67 ductal carcinoma in situ cases. The area occupied by fat was categorized as less or more than 50%. The long to short axis (L/S) ratio was calculated. The relationship between SLNneg morphometries and clinicopathological variables like tumor-infiltrating lymphocytes (TILs) within the primary tumor, as well as prognosis at 10 years follow up were analyzed. Results The mean SLNneg surface area was 78.7mm2, circumference 40.3mm, long axis 13.1mm, short axis 8.2mm and L/S ratio 1.7. Larger surface area, long axis and short axis, including age >55 years were associated with higher body mass index (BMI) and SLN fat over 50% (p<0.003). In invasive BC, a high SLNneg L/S ratio (≥1.9) was related to poorer disease-free (HR=1.805, 95%CI 1.182-2.755, p=0.006) and overall (HR=2.389, 95%CI 1.481-3.851, p<0.001) survival. A low SLNneg L/S ratio (<1.9) was associated with high TILs in the primary BC (≥10%) (p=0.005). However a high TIL count was not of prognostic relevance. Conclusions This is the first study to suggest that morphometric characteristics of axillary SLNneg, like L/S ratio, could be used to predict prognosis in patients with SLNneg invasive BC of all subtypes. The association between low L/S ratio and high TILs suggest that SLN shape is related to immunological functioning of the SLN and could be used in addition to TIL evaluation. Regarding the dubious role of TILs in hormone receptor positive breast cancer, SLNneg morphometry to gain information about host immune status could especially be of benefit in this subtype. Further studies are warranted to better understand the underlying biological mechanisms.
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Affiliation(s)
- Loes F. S. Kooreman
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Sabine Dieleman
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- Department of Surgery, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Sander M. J. van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Axel zur Hausen
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Marjolein L. Smidt
- GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- Department of Surgery, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Heike I. Grabsch
- Department of Pathology, GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- GROW School for Oncology and Reproduction, Maastricht University Medical Center+, Maastricht, Netherlands
- Pathology and Data Analytics, Leeds Institute of Medical Research at St. James’s, University of Leeds, Leeds, United Kingdom
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25
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Wang Z, Ren H, Zhu G, Zhang L, Cao H, Chen B. High expression of CCDC69 is correlated with immunotherapy response and protective effects on breast cancer. BMC Cancer 2023; 23:974. [PMID: 37828454 PMCID: PMC10571395 DOI: 10.1186/s12885-023-11411-2] [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: 10/24/2022] [Accepted: 09/16/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND As a molecule controlling the assembly of central spindles and recruitment of midzone component, coiled-coil domain-containing protein 69 (CCDC69) plays an important role in multiple cancers. Currently, the relationships between CCDC69 and immune infiltration or immunotherapy in breast cancer remain unclear. METHODS The expression and prognostic significance of CCDC69 in breast cancer were comprehensively analyzed by quantitative real-time PCR, immunohistochemical staining and various databases. The data source of differentially expressed genes, gene set enrichment analysis, and immune cell infiltration analysis came from The Cancer Genome Atlas (TCGA) database. Single-cell analysis based on IMMUcan database was used. The protein-protein interaction network was developed applying STRING, Cytoscape, CytoHubba, and GeneMANIA. TISIDB was employed in analyzing the CCDC69 co-expressed immune related genes. The correlations between CCDC69 and immunotherapy or immune-related scores were analyzed by CAMOIP and TISMO. Ctr-db was also used to conduct drug sensitivity analysis. RESULTS The mRNA of CCDC69 was downregulated in breast cancer tissues compared with normal tissues. Higher CCDC69 expression was associated with a better breast cancer prognosis. Enrichment analysis showed that the co-expression genes of CCDC69 were mainly related to immune-related pathways. The expression of CCDC69 was found to be positively correlated with multiple tumor-suppression immune infiltration cells, especially T cells and dendritic cells. Meanwhile, high CCDC69 expression can predict better immunotherapy responses when compared with low CCDC69 expression. After the interferon-gamma treatment, the CCDC69 expression was elevated in vitro. CCDC69 expression was a reliable predictor for the response status of two therapeutic strategies in breast cancer. CONCLUSIONS Our research revealed the clinical significance of CCDC69 in breast cancer and validated the critical roles of CCDC69 in the tumor immune infiltration and immunotherapy responses.
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Affiliation(s)
- Zhen Wang
- Department of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Huiyang Ren
- Department of Breast Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Guolian Zhu
- Department of Breast Surgery, The Fifth People's Hospital of Shenyang, Shenyang, China
| | - Lei Zhang
- Department of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
| | - Hongyi Cao
- Department of Pathology, The First Hospital of China Medical University and College of Basic Medical Sciences, Shenyang, China.
| | - Bo Chen
- Department of Breast Surgery, The First Hospital of China Medical University, Shenyang, China.
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26
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Zhang Z, Li L, Wu J. A Mendelian randomization-based approach to explore the relationship between leukocyte counts and breast cancer risk in European ethnic groups. Sci Rep 2023; 13:16979. [PMID: 37813992 PMCID: PMC10562486 DOI: 10.1038/s41598-023-44397-9] [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: 04/28/2023] [Accepted: 10/07/2023] [Indexed: 10/11/2023] Open
Abstract
Exploring the potential association between peripheral blood leukocyte counts and breast cancer risk by Mendelian randomization (MR) analysis methods. Genetic data related to peripheral blood sorting counts of leukocytes were collected from a genome-wide association study by Blood Cell Consortium (BCX). Single nucleotide polymorphic loci predicting peripheral blood sorting counts of these leukocytes were selected as instrumental variables according to the correlation assumption, independence assumption and exclusivity assumption of MR. The data on breast cancer and its subtypes were obtained from Breast Cancer Association Consortium (BCAC) and FinnGen Consortium. In this study, the Inverse-Variance Weighted (IVW), Weighted Median, MR-Egger, Maximum Likelihood (ML), MR-PRESSO and Constrained Maximum Likelihood and Model Averaging (cML-MA) methods of random effects models were used for MR analysis. Cochran's Q analysis, and MR-Egger intercept analysis were applied for sensitivity analysis. IVW and cML-MA were considered the primary analytical tools, and the results of the other 4 MRs were used as complementary and validation. The results suggest that there is no significant causal relationship between leukocyte count and breast cancer risk (IVW OR = 0.98 [95% CI: 0.93-1.03], p-value = 0.35; CML-MA OR = 1.01 [95% CI: 0.98-1.05], p-value = 0.51). In addition, we analyzed whether there was a potential correlation between the five main types of categorized leukocyte counts and different breast cancer subtypes. We did not find significant evidence to support a significant correlation between leukocyte counts and breast cancer subtypes.
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Affiliation(s)
- Zhitao Zhang
- Department of Breast, Fujian Maternity and Child Health Hospital, Fuzhou, China
| | - Lei Li
- Department of Pathology, University of Otago, Dunedin, 9016, New Zealand.
| | - Jianbin Wu
- Department of Breast, Fujian Maternity and Child Health Hospital, Fuzhou, China.
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27
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Yousefian Naeini Z, Esfandiari N, Hashemi M, Hushmandi K, Arbabian S, Entezari M. Introduced the ITGB1-DT as a novel biomarker associated with five potential drugs using bioinformatics analysis of breast cancer proteomics data and RT-PCR. Mol Cell Probes 2023; 71:101930. [PMID: 37690573 DOI: 10.1016/j.mcp.2023.101930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/28/2023] [Accepted: 09/04/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Breast cancer (BC) has been identified as a significant contributor to the rising number of female cancer deaths. As, it has become clear that breast cancer development depends on the interplay of several biological factors against a single molecule. This research aimed to use proteomics to gain a regulatory and metabolic understanding of BC pathophysiology. METHOD For the study, a breast cancer proteomics dataset was downloaded from ProteomeXchange and then analyzed by employing MaxQuant and Perseus. Functional enrichment analysis through Metascape and Cytoscape software showed DEPs related biomedical phenomena with potential abruption. The expression of selected lncRNA in terms of the highest connectivity parameters was then quantitatively assessed through RT-PCR in 30 tumor tissues of breast cancer patients, as compared to the adjacent healthy ones. RESULT The results indicated that among the 3048 identified proteins, 1149 were differentially expressed, which could be mainly enriched in several key terms. Furthermore, the obtained findings revealed that ITGB1-DT was significantly overexpressed in tumor tissues. Moreover, we found five potential compounds that could be attributed to ITGB1-DT targets (ATN-161, Firategrast, SB-683698, dabigatran-etexilate, and tranexamic-acid). CONCLUSION These analyses proposed that ITGB1-DT could be employed as a differentiated factor to identify breast tumor tissues in healthy samples. Besides this, Firategrast could be introduced as a potential remedial agent for breast cancer patients. Overall, from the analysis of a proteomics dataset, an integrative map was generated, and a novel biomarker that may have been implicated in the early detection of BC was introduced.
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Affiliation(s)
- Zahra Yousefian Naeini
- Department of Cellular and Molecular, North Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Negin Esfandiari
- Department of Food Hygiene and Quality Control, Division of Epidemiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Mehrdad Hashemi
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Kiavash Hushmandi
- Department of Food Hygiene and Quality Control, Division of Epidemiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Sedighe Arbabian
- Department of Cellular and Molecular, North Tehran Branch, Islamic Azad University, Tehran, Iran.
| | - Maliheh Entezari
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
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28
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Fiannaca A, La Rosa M, La Paglia L, Gaglio S, Urso A. GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data. Brief Bioinform 2023; 24:bbad332. [PMID: 37756593 PMCID: PMC10530315 DOI: 10.1093/bib/bbad332] [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: 05/03/2023] [Revised: 08/17/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Single-cell RNA-sequencing (scRNA-seq) allows for obtaining genomic and transcriptomic profiles of individual cells. That data make it possible to characterize tissues at the cell level. In this context, one of the main analyses exploiting scRNA-seq data is identifying the cell types within tissue to estimate the quantitative composition of cell populations. Due to the massive amount of available scRNA-seq data, automatic classification approaches for cell typing, based on the most recent deep learning technology, are needed. Here, we present the gene ontology-driven wide and deep learning (GOWDL) model for classifying cell types in several tissues. GOWDL implements a hybrid architecture that considers the functional annotations found in Gene Ontology and the marker genes typical of specific cell types. We performed cross-validation and independent external testing, comparing our algorithm with 12 other state-of-the-art predictors. Classification scores demonstrated that GOWDL reached the best results over five different tissues, except for recall, where we got about 92% versus 97% of the best tool. Finally, we presented a case study on classifying immune cell populations in breast cancer using a hierarchical approach based on GOWDL.
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Affiliation(s)
- Antonino Fiannaca
- ICAR-CNR, National Research Council of Italy, Via Ugo La Malfa 153, 90146, Palermo, Italy
| | - Massimo La Rosa
- ICAR-CNR, National Research Council of Italy, Via Ugo La Malfa 153, 90146, Palermo, Italy
| | - Laura La Paglia
- ICAR-CNR, National Research Council of Italy, Via Ugo La Malfa 153, 90146, Palermo, Italy
| | - Salvatore Gaglio
- ICAR-CNR, National Research Council of Italy, Via Ugo La Malfa 153, 90146, Palermo, Italy
- Dipartimento di Ingegneria, Università degli studi di Palermo, Viale Delle Scienze, ed. 6, 90128, Palermo, Italy
| | - Alfonso Urso
- ICAR-CNR, National Research Council of Italy, Via Ugo La Malfa 153, 90146, Palermo, Italy
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29
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Blyth RRR, Birts CN, Beers SA. The role of three-dimensional in vitro models in modelling the inflammatory microenvironment associated with obesity in breast cancer. Breast Cancer Res 2023; 25:104. [PMID: 37697381 PMCID: PMC10494415 DOI: 10.1186/s13058-023-01700-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: 07/04/2023] [Accepted: 08/16/2023] [Indexed: 09/13/2023] Open
Abstract
Obesity is an established risk factor for breast cancer in postmenopausal women. However, the underlying biological mechanisms of how obesity contributes to breast cancer remains unclear. The inflammatory adipose microenvironment is central to breast cancer progression and has been shown to favour breast cancer cell growth and to reduce efficacy of anti-cancer treatments. Thus, it is imperative to further our understanding of the inflammatory microenvironment seen in breast cancer patients with obesity. Three-dimensional (3D) in vitro models offer a key tool in increasing our understanding of such complex interactions within the adipose microenvironment. This review discusses some of the approaches utilised to recapitulate the breast tumour microenvironment, including various co-culture and 3D in vitro models. We consider how these model systems contribute to the understanding of breast cancer research, with particular focus on the inflammatory tumour microenvironment. This review aims to provide insight and prospective future directions on the utility of such model systems for breast cancer research.
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Affiliation(s)
- Rhianna Rachael Romany Blyth
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
| | - Charles N Birts
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK
- School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
- Institute for Life Sciences, University of Southampton, Southampton, SO17 1BJ, UK
| | - Stephen A Beers
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
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30
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Szymanowska A, Rodriguez-Aguayo C, Lopez-Berestein G, Amero P. Non-Coding RNAs: Foes or Friends for Targeting Tumor Microenvironment. Noncoding RNA 2023; 9:52. [PMID: 37736898 PMCID: PMC10514839 DOI: 10.3390/ncrna9050052] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 08/22/2023] [Indexed: 09/23/2023] Open
Abstract
Non-coding RNAs (ncRNAs) are a group of molecules critical for cell development and growth regulation. They are key regulators of important cellular pathways in the tumor microenvironment. To analyze ncRNAs in the tumor microenvironment, the use of RNA sequencing technology has revolutionized the field. The advancement of this technique has broadened our understanding of the molecular biology of cancer, presenting abundant possibilities for the exploration of novel biomarkers for cancer treatment. In this review, we will summarize recent achievements in understanding the complex role of ncRNA in the tumor microenvironment, we will report the latest studies on the tumor microenvironment using RNA sequencing, and we will discuss the potential use of ncRNAs as therapeutics for the treatment of cancer.
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Affiliation(s)
- Anna Szymanowska
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (A.S.); (C.R.-A.); (G.L.-B.)
| | - Cristian Rodriguez-Aguayo
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (A.S.); (C.R.-A.); (G.L.-B.)
- Center for RNA Interference and Non-Coding RNA, Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Gabriel Lopez-Berestein
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (A.S.); (C.R.-A.); (G.L.-B.)
- Center for RNA Interference and Non-Coding RNA, Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
| | - Paola Amero
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA; (A.S.); (C.R.-A.); (G.L.-B.)
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31
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Sajjadi E, Venetis K, Ivanova M, Noale M, Blundo C, Di Loreto E, Scarfone G, Ferrero S, Maggi S, Veronesi P, Galimberti VE, Viale G, Peccatori FA, Fusco N, Guerini-Rocco E. Immune microenvironment dynamics in breast cancer during pregnancy: impact of gestational age on tumor-infiltrating lymphocytes and prognosis. Front Oncol 2023; 13:1116569. [PMID: 37671051 PMCID: PMC10475935 DOI: 10.3389/fonc.2023.1116569] [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: 12/05/2022] [Accepted: 07/26/2023] [Indexed: 09/07/2023] Open
Abstract
Background Breast cancer during pregnancy (PrBC) is a rare condition known for its aggressive clinical behavior. The presence of tumor-infiltrating lymphocytes (TILs) has been shown to have a significant impact on the prognosis of these patients. Despite some biological characteristics of the tumor that may differ depending on the gestational age, little is known about the dynamics of the immune landscape within the tumor microenvironment (TME) in PrBC. Therefore, in this study, our objective was to gain comprehensive insights into the relationship between gestational age at breast cancer diagnosis and the composition of the TME. Methods n = 108 PrBC were selected from our institutional registry and categorized based on the gestational age by trimester. For all cases, TILs were profiled according to the International TILs Working Group recommendations, and subtyped by CD4, CD8, and forkhead box P3 (FOXP3) immunohistochemistry. PD-L1 was tested according to the combined positive score (CPS) using the IHC 22C3 pharmDx assay, with a cutoff value of ≥10 for positivity. The statistical approach encompassed Fisher's and Chi-squared tests, with appropriate adjustments for multiple comparisons, logistic regression models, and survival analyses based on the Kaplan-Meier method. Results The proportion of patients with poorly differentiated (G3) neoplasms increased as the gestational age advanced (first trimester, n = 25, 56.8%; second trimester, n = 27, 69.2%; third trimester, n = 21, 87.5%; p = 0.03). The histologic subtypes as well as the hormone receptor (HR) and HER2 status did not show significant changes across different pregnancy trimesters. In the HR+/HER2- subtype, there was a higher proportion of tumors with high/moderate TILs in the early phases of pregnancy, similar to FOXP3 expression (TILs: first trimester, n = 10, 35.7%; second trimester, n = 2, 10.5%; third trimester, n = 0; p = 0.02; FOXP3: first trimester, n = 10, 40%; second trimester, n = 3, 15.8%; third trimester, n = 0; p = 0.03). The median follow-up for our cohort was 81 months. Patients who relapsed after a breast cancer diagnosis during the first trimester were more frequently PD-L1-negative, unlike those with no disease recurrence (n = 9, 100% vs. n = 9, 56.3%; p = 0.03; hormone therapy and n = 9, 100% vs. n = 7, 53.9%; p = 0.02; chemotherapy). No statistically significant differences were seen among the three trimesters in terms of survival outcome. Conclusion The TME dynamics of HR+/HER2- PrBC vary based on gestational age, suggesting that immune tolerance expression during later gestational age could explain the increased aggressiveness of tumors diagnosed at that stage.
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Affiliation(s)
- Elham Sajjadi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Konstantinos Venetis
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Mariia Ivanova
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Marianna Noale
- Neuroscience Institute Aging Branch, National Research Council (CNR), Padua, Italy
| | - Concetta Blundo
- Breast Surgery Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
| | - Eugenia Di Loreto
- Gynecology Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanna Scarfone
- Gynecology Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefano Ferrero
- Division of Pathology, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
- Department of Biomedical, Surgical, and Dental Sciences, University of Milan, Milan, Italy
| | - Stefania Maggi
- Neuroscience Institute Aging Branch, National Research Council (CNR), Padua, Italy
| | - Paolo Veronesi
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Breast Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Giuseppe Viale
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Fedro A. Peccatori
- Fertility and Procreation Unit, Division of Gynecologic Oncology, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Nicola Fusco
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Elena Guerini-Rocco
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
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Zhang L, Tang T, Liu L, Li C, Li Y, Geng C. Effect of tumor-infiltrating lymphocytes depending on the presence of postmastectomy radiotherapy on the prognosis in pT1-2N1M0 breast cancer. Front Oncol 2023; 13:1175965. [PMID: 37601690 PMCID: PMC10436467 DOI: 10.3389/fonc.2023.1175965] [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: 02/28/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Background Currently, it remains unclear regarding the association between tumor-infiltrating lymphocytes (TILs) and the efficacy of postoperative radiotherapy in primary tumors. Here we attempted to investigate the effect of TILs depending on the presence of postmastectomy radiotherapy (PMRT) on the prognosis in pT1-2N1M0 breast cancer. Methods The clinical data of pT1-2N1M0 breast cancer patients undergoing mastectomy and axillary lymph node dissection were retrospectively analyzed. The effect of TILs on the prognosis was assessed based on the infiltration degree (low: TILs ≤10%, high: TILs >10%), and then the prognosis of patients with low and high infiltration of TILs was analyzed based on presence or absence of PMRT. Results Totally 213 patients were eligible for the study, including 162 cases of low infiltration and 51 of high infiltration. High-infiltration patients tended to be ER/PR-negative, HER2-positive, and have high histological grade. The infiltration in triple-negative and HER2-positive subtypes was higher compared with Luminal A subtype. Regarding local-regional recurrence-free survival, recurrence-free survival, and overall survival (OS) rates, the differences were all inapparent whether in high- and low-infiltration patients or in high-infiltration patients with/without PMRT. Compared with those without PMRT, low-infiltration patients with PMRT showed a significantly increased OS rate (92.8% vs. 80.0%, p=0.023). Multivariate analysis further confirmed PMRT as an independent predicator of OS in low-infiltration patients (HR: 0.228, 95%CI: 0.081-0.644, p=0.005). Conclusion High infiltration of TILs in pT1-2N1M0 breast cancer may be associated with clinicopathological factors. Low-infiltration patients, but not high-infiltration patients, may derive survival benefits from PMRT.
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Affiliation(s)
| | | | | | | | | | - Cuizhi Geng
- Breast Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Szpor J, Streb J, Glajcar A, Streb-Smoleń A, Łazarczyk A, Korta P, Brzuszkiewicz K, Jach R, Hodorowicz-Zaniewska D. Dendritic Cell Subpopulations Are Associated with Morphological Features of Breast Ductal Carcinoma In Situ. Int J Mol Sci 2023; 24:9918. [PMID: 37373062 DOI: 10.3390/ijms24129918] [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: 05/12/2023] [Revised: 05/31/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Ductal carcinoma in situ (DCIS) is the preinvasive form of breast cancer (BC). It is disputed whether all cases of DCIS require extensive treatment as the overall risk of progression to BC is estimated at 40%. Therefore, the crucial objective for researchers is to identify DCIS with significant risk of transformation into BC. Dendritic cells (DC) are professional antigen presenting cells and as such play a pivotal role in the formation of immune cells that infiltrate in breast tumors. The aim of this study was to investigate the relationship between the density of DCs with different superficial antigens (CD1a, CD123, DC-LAMP, DC-SIGN) and various histopathological characteristics of DCIS. Our evaluation indicated that CD123+ and DC-LAMP+ cells were strongly associated with maximal tumor size, grading and neoductgenesis. Together with CD1a+ cells, they were negatively correlated with hormonal receptors expression. Furthermore, the number of DC-LAMP+ cells was higher in DCIS with comedo necrosis, ductal spread, lobular cancerization as well as comedo-type tumors, while CD1a+ cells were abundant in cases with Paget disease. We concluded that different subpopulations of DCs relate to various characteristics of DCIS. Of the superficial DCs markers, DC-LAMP seems particularly promising as a target for further research in this area.
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Affiliation(s)
- Joanna Szpor
- Department of Pathomorphology, Jagiellonian University Medical College, 31-008 Cracow, Poland
- Department of Pathomorphology, University Hospital, 30-688 Cracow, Poland
| | - Joanna Streb
- Department of Oncology, Jagiellonian University Medical College, 31-008 Cracow, Poland
| | - Anna Glajcar
- Department of Pathomorphology, University Hospital, 30-688 Cracow, Poland
| | - Anna Streb-Smoleń
- Department of Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, 31-115 Cracow, Poland
| | - Agnieszka Łazarczyk
- Department of Pathomorphology, Jagiellonian University Medical College, 31-008 Cracow, Poland
| | - Paulina Korta
- Department of Pathomorphology, University Hospital, 30-688 Cracow, Poland
| | - Karolina Brzuszkiewicz
- General, Oncological, and Gastrointestinal Surgery, Jagiellonian University Medical College, 31-008 Cracow, Poland
| | - Robert Jach
- Department of Gynecology and Obstetrics, Jagiellonian University Medical College, 31-008 Cracow, Poland
| | - Diana Hodorowicz-Zaniewska
- General, Oncological, and Gastrointestinal Surgery, Jagiellonian University Medical College, 31-008 Cracow, Poland
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Das K, Mukherjee T, Shankar P. The Role of Extracellular Vesicles in the Pathogenesis of Hematological Malignancies: Interaction with Tumor Microenvironment; a Potential Biomarker and Targeted Therapy. Biomolecules 2023; 13:897. [PMID: 37371477 DOI: 10.3390/biom13060897] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/21/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
The tumor microenvironment (TME) plays an important role in the development and progression of hematological malignancies. In recent years, studies have focused on understanding how tumor cells communicate within the TME. In addition to several factors, such as growth factors, cytokines, extracellular matrix (ECM) molecules, etc., a growing body of evidence has indicated that extracellular vesicles (EVs) play a crucial role in the communication of tumor cells within the TME, thereby contributing to the pathogenesis of hematological malignancies. The present review focuses on how EVs derived from tumor cells interact with the cells in the TME, such as immune cells, stromal cells, endothelial cells, and ECM components, and vice versa, in the context of various hematological malignancies. EVs recovered from the body fluids of cancer patients often carry the bioactive molecules of the originating cells and hence can be considered new predictive biomarkers for specific types of cancer, thereby also acting as potential therapeutic targets. Here, we discuss how EVs influence hematological tumor progression via tumor-host crosstalk and their use as biomarkers for hematological malignancies, thereby benefiting the development of potential therapeutic targets.
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Affiliation(s)
- Kaushik Das
- Department of Cellular and Molecular Biology, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA
| | - Tanmoy Mukherjee
- Department of Pulmonary Immunology, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA
| | - Prem Shankar
- Department of Pulmonary Immunology, The University of Texas at Tyler Health Science Center, Tyler, TX 75708, USA
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Galadima M, Kotova I, Schmidt R, Pastor J, Schröder C, Rodríguez-Gil JE, Del Alamo MMR. Canine Mammary Neoplasia Induces Variations in the Peripheral Blood Levels of CD20, CD45RA, and CD99. Int J Mol Sci 2023; 24:ijms24119222. [PMID: 37298173 DOI: 10.3390/ijms24119222] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
The idea of using tumour biomarkers as diagnostic tools is progressively increasing. Of these, serum biomarkers are of particular interest, as they can provide rapid results. In the present study, serum samples from 26 bitches diagnosed with mammary tumours, plus 4 healthy bitches, were obtained. The samples were analysed using CD antibody microarrays targeting 90 CD surface markers and 56 cytokines/chemokines. A total of five CD proteins, namely CD20, CD45RA, CD53, CD59, and CD99, were selected and further analysed, utilizing immunoblotting techniques to validate the microarray results. CD45RA showed a significantly lower abundance in the serum samples from the bitches carrying mammary neoplasia in comparison to the healthy animals. Regarding CD99, the serum samples from the neoplastic bitches showed it in a significantly higher abundance than those from the healthy patients. Finally, CD20 showed a significantly higher abundance in bitches carrying a malignant mammary tumour in comparison to healthy patients, but no differential expression between malignant and benign tumours was observed. According to these results, both CD99 and CD45RA are indicators of mammary tumour presence, but without distinguishing between malignant and benign.
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Affiliation(s)
- Makchit Galadima
- Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Iuliia Kotova
- Sciomics GmbH, Karl-Landsteines-Straβe 6, 69151 Neckargemünd, Germany
| | - Ronny Schmidt
- Sciomics GmbH, Karl-Landsteines-Straβe 6, 69151 Neckargemünd, Germany
| | - Josep Pastor
- Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | | | - Joan Enric Rodríguez-Gil
- Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
| | - Maria Montserrat Rivera Del Alamo
- Department of Animal Medicine and Surgery, Faculty of Veterinary Medicine, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain
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36
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Leeha M, Kanokwiroon K, Laohawiriyakamol S, Thongsuksai P. Immunohistochemistry-based molecular subtyping of triple-negative breast cancer and its prognostic significance. Pathol Oncol Res 2023; 29:1611162. [PMID: 37274773 PMCID: PMC10235452 DOI: 10.3389/pore.2023.1611162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 05/11/2023] [Indexed: 06/07/2023]
Abstract
Background: Immunohistochemistry (IHC)-based protein markers representing molecular subtypes are of great value for routine use. This study aimed to evaluate the frequency distributions of the molecular subtypes of triple-negative breast cancer (TNBC) using IHC-based surrogate markers and examined their prognostic value. Methods: Patients with TNBC treated at a university hospital in Southern Thailand were included in this study. Expression levels of androgen receptor, CD8, Forkhead box transcription factor C1, and Doublecortin-like kinase 1 were detected in tumor tissue to classify them into luminal androgen receptor (LAR), immunomodulatory (IM), basal-like immunosuppressed (BLIS), mesenchymal-like (MES), and unclassifiable (UC) subtypes. The association between variables and disease-free survival (DFS) and overall survival (OS) was analyzed using Cox proportional hazards regression. Results: Among the 195 cases of TNBC, the frequency distribution of the IHC-based subtype was as follows: BLIS, 52.8%; LAR, 19.0%; IM, 17.4%; MES, 0.5%; and un-classifiable, 10.3%. BLIS subtype was significantly found in younger ages (mean: 49.6 years) than other subtypes (mean: 51-57.7 years). LAR and BLIS subtypes were significantly associated with poorer OS compared to the IM subtype in univariate analysis, however, only BLIS was significant in multivariate analysis (HR: 3.29, 95% CI: 1.01-10.72). IHC-based subtype was not found to be associated with DFS. Conclusion: This study revealed the differences in the proportion frequency of IHC-based TNBC subtypes in Thai patients compared to other populations. IHC-based molecular subtyping may be beneficial for prognosis. However further refinement of the molecular classification of TNBC is needed for better clinical relevance.
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Affiliation(s)
- Marisa Leeha
- Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Kanyanatt Kanokwiroon
- Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Suphawat Laohawiriyakamol
- Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Paramee Thongsuksai
- Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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37
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Cruz-Reyes N, Radisky DC. Inflammation, Infiltration, and Evasion-Tumor Promotion in the Aging Breast. Cancers (Basel) 2023; 15:1836. [PMID: 36980723 PMCID: PMC10046531 DOI: 10.3390/cancers15061836] [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: 03/04/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Breast cancer is a significant cause of morbidity and mortality in women, with over two million new cases reported worldwide each year, the majority of which occur in post-menopausal women. Despite advances in early detection and treatment, approximately one-third of patients diagnosed with breast cancer will develop metastatic disease. The pathogenesis and progression of breast cancer are influenced by a variety of biological and social risk factors, including age, ethnicity, pregnancy status, diet, and genomic alterations. Recent advancements in breast cancer research have focused on harnessing the power of the patient's adaptive and innate immune systems for diagnostic and therapeutic purposes. The breast immune microenvironment plays a critical role in regulating tissue homeostasis and resistance to tumorigenesis. In this review, we explore the dynamic changes in the breast immune microenvironment that occur with age, how these changes impact breast cancer development and progression, and how targeted therapeutic interventions that leverage the immune system can be used to improve patient outcomes. Our review emphasizes the importance of understanding the complex interplay between aging, the immune system, and breast cancer, and highlights the potential of immune-based therapies in the fight against this devastating disease.
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Affiliation(s)
| | - Derek C. Radisky
- Department of Cancer Biology, Mayo Clinic, Jacksonville, FL 32224, USA
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38
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Oumeddour A. Screening of potential hub genes and key pathways associated with breast cancer by bioinformatics tools. Medicine (Baltimore) 2023; 102:e33291. [PMID: 36930083 PMCID: PMC10019133 DOI: 10.1097/md.0000000000033291] [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: 11/19/2022] [Accepted: 02/24/2023] [Indexed: 03/18/2023] Open
Abstract
Breast cancer (BC) remains the leading cause of cancer-related death in women worldwide. The development of new targeted therapies that may improve patient survival remains an area of growing interest. This study aimed to identify new biomarkers involved in BC progression that could be used as potential targeted therapies. DEGs were selected from three gene expression profiles, GSE55715, GSE124646, and GSE87049, using the GEO2R tool and Venn diagram software. Gene Ontology and KEGG pathways were then performed using DAVID software. Next, the PPI network was constructed using STRING and visualized using Cytoscape software, and hub genes were extracted using the cytoHubba plug-in. Survival analysis was performed using the Kaplan-Meier Plotter, while the expression of hub genes in BC was verified using the GEPIA2 tool. Finally, transcription the factors of hub genes were determined using the NetworkAnalyst database, and the TIMER tool was employed to explore the infiltration levels of tumor immune cells with related genes. A total of 146 DEGs were identified in the three datasets, including 60 upregulated genes that were enriched in the cell cycle, and 86 downregulated genes that were mainly enriched in the TNF signaling pathway and pathways in cancer. Ten genes were identified: BUB1, CDK1, HMMR, MAD2L1, CEP55, AURKA, CCNB2, TPX2, MELK, and KIF20A. The overexpression of hub genes, except CDK1, was associated with poor survival in BC and was regulated by several transcription factors involved in DNA binding activity and transcription regulation. The infiltration levels of immune cells were positively correlated with hub genes, particularly macrophages and CD4+ T cells. This study identified new reliable molecular biomarkers that can serve as potential therapeutic targets for BC treatment.
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Affiliation(s)
- Abdelkader Oumeddour
- Department of Natural Sciences and Life, 8 May 1945 University of Guelma, Guelma, Algeria
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39
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Raths F, Karimzadeh M, Ing N, Martinez A, Yang Y, Qu Y, Lee TY, Mulligan B, Devkota S, Tilley WT, Hickey TE, Wang B, Giuliano AE, Bose S, Goodarzi H, Ray EC, Cui X, Knott SR. The molecular consequences of androgen activity in the human breast. CELL GENOMICS 2023; 3:100272. [PMID: 36950379 PMCID: PMC10025454 DOI: 10.1016/j.xgen.2023.100272] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/20/2022] [Accepted: 01/30/2023] [Indexed: 03/24/2023]
Abstract
Estrogen and progesterone have been extensively studied in the mammary gland, but the molecular effects of androgen remain largely unexplored. Transgender men are recorded as female at birth but identify as male and may undergo gender-affirming androgen therapy to align their physical characteristics and gender identity. Here we perform single-cell-resolution transcriptome, chromatin, and spatial profiling of breast tissues from transgender men following androgen therapy. We find canonical androgen receptor gene targets are upregulated in cells expressing the androgen receptor and that paracrine signaling likely drives sex-relevant androgenic effects in other cell types. We also observe involution of the epithelium and a spatial reconfiguration of immune, fibroblast, and vascular cells, and identify a gene regulatory network associated with androgen-induced fat loss. This work elucidates the molecular consequences of androgen activity in the human breast at single-cell resolution.
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Affiliation(s)
- Florian Raths
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mehran Karimzadeh
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Vector Institute, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Nathan Ing
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Andrew Martinez
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yoona Yang
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ying Qu
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Tian-Yu Lee
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Brianna Mulligan
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Suzanne Devkota
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Wayne T. Tilley
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- Freemasons Centre for Male Health and Wellbeing, University of Adelaide, Adelaide, SA, Australia
| | - Theresa E. Hickey
- Dame Roma Mitchell Cancer Research Laboratories, Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Bo Wang
- Vector Institute, Toronto, ON, Canada
- Peter Munk Cardiac Centre, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | | | - Shikha Bose
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Edward C. Ray
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Transgender Surgery and Health Program, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Xiaojiang Cui
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Simon R.V. Knott
- Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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40
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Morra A, Mavaddat N, Muranen TA, Ahearn TU, Allen J, Andrulis IL, Auvinen P, Becher H, Behrens S, Blomqvist C, Bojesen SE, Bolla MK, Brauch H, Camp NJ, Carvalho S, Castelao JE, Cessna MH, Chang-Claude J, Chenevix-Trench G, Czene K, Decker B, Dennis J, Dörk T, Dorling L, Dunning AM, Ekici AB, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Flyger H, Gago-Dominguez M, García-Closas M, Geurts-Giele WRR, Giles GG, Guénel P, Gündert M, Hahnen E, Hall P, Hamann U, Harrington PA, He W, Heikkilä P, Hooning MJ, Hoppe R, Howell A, Humphreys K, Jakubowska A, Jung AY, Keeman R, Kristensen VN, Lubiński J, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Mavroudis D, Milne RL, Mulligan AM, Newman WG, Park-Simon TW, Peterlongo P, Pharoah PDP, Rhenius V, Saloustros E, Sawyer EJ, Schmutzler RK, Shah M, Spurdle AB, Tomlinson I, Truong T, van Veen EM, Vreeswijk MPG, Wang Q, Wendt C, Yang XR, Nevanlinna H, Devilee P, Easton DF, Schmidt MK. The impact of coding germline variants on contralateral breast cancer risk and survival. Am J Hum Genet 2023; 110:475-486. [PMID: 36827971 PMCID: PMC10027471 DOI: 10.1016/j.ajhg.2023.02.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 02/01/2023] [Indexed: 02/25/2023] Open
Abstract
Evidence linking coding germline variants in breast cancer (BC)-susceptibility genes other than BRCA1, BRCA2, and CHEK2 with contralateral breast cancer (CBC) risk and breast cancer-specific survival (BCSS) is scarce. The aim of this study was to assess the association of protein-truncating variants (PTVs) and rare missense variants (MSVs) in nine known (ATM, BARD1, BRCA1, BRCA2, CHEK2, PALB2, RAD51C, RAD51D, and TP53) and 25 suspected BC-susceptibility genes with CBC risk and BCSS. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated with Cox regression models. Analyses included 34,401 women of European ancestry diagnosed with BC, including 676 CBCs and 3,449 BC deaths; the median follow-up was 10.9 years. Subtype analyses were based on estrogen receptor (ER) status of the first BC. Combined PTVs and pathogenic/likely pathogenic MSVs in BRCA1, BRCA2, and TP53 and PTVs in CHEK2 and PALB2 were associated with increased CBC risk [HRs (95% CIs): 2.88 (1.70-4.87), 2.31 (1.39-3.85), 8.29 (2.53-27.21), 2.25 (1.55-3.27), and 2.67 (1.33-5.35), respectively]. The strongest evidence of association with BCSS was for PTVs and pathogenic/likely pathogenic MSVs in BRCA2 (ER-positive BC) and TP53 and PTVs in CHEK2 [HRs (95% CIs): 1.53 (1.13-2.07), 2.08 (0.95-4.57), and 1.39 (1.13-1.72), respectively, after adjusting for tumor characteristics and treatment]. HRs were essentially unchanged when censoring for CBC, suggesting that these associations are not completely explained by increased CBC risk, tumor characteristics, or treatment. There was limited evidence of associations of PTVs and/or rare MSVs with CBC risk or BCSS for the 25 suspected BC genes. The CBC findings are relevant to treatment decisions, follow-up, and screening after BC diagnosis.
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Affiliation(s)
- Anna Morra
- The Netherlands Cancer Institute, Division of Molecular Pathology, Plesmanlaan 121, 1066 Amsterdam, the Netherlands.
| | - Nasim Mavaddat
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Taru A Muranen
- University of Helsinki, Department of Obstetrics and Gynecology, Helsinki University Hospital, Helsinki, Finland
| | - Thomas U Ahearn
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Jamie Allen
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Irene L Andrulis
- Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Fred A. Litwin Center for Cancer Genetics, Toronto, ON, Canada; University of Toronto, Department of Molecular Genetics, Toronto, ON, Canada
| | - Päivi Auvinen
- University of Eastern Finland, Translational Cancer Research Area, Kuopio, Finland; University of Eastern Finland, Institute of Clinical Medicine, Oncology, Kuopio, Finland; Kuopio University Hospital, Department of Oncology, Cancer Center, Kuopio, Finland
| | - Heiko Becher
- University Medical Center Hamburg-Eppendorf, Institute of Medical Biometry and Epidemiology, Hamburg, Germany
| | - Sabine Behrens
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg, Germany
| | - Carl Blomqvist
- University of Helsinki, Department of Oncology, Helsinki University Hospital, Helsinki, Finland
| | - Stig E Bojesen
- Copenhagen University Hospital, Copenhagen General Population Study, Herlev and Gentofte Hospital, Herlev, Denmark; Copenhagen University Hospital, Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Herlev, Denmark; University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Manjeet K Bolla
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, iFIT-Cluster of Excellence, Tübingen, Germany; German Cancer Consortium and German Cancer Research Center, Partner Site Tübingen, Tübingen, Germany
| | - Nicola J Camp
- University of Utah, Department of Internal Medicine and Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Sara Carvalho
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Jose E Castelao
- Instituto de Investigación Sanitaria Galicia Sur, Xerencia de Xestion Integrada de Vigo-SERGAS, Oncology and Genetics Unit, Vigo, Spain
| | | | - Jenny Chang-Claude
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg, Germany; University Medical Center Hamburg-Eppendorf, Cancer Epidemiology Group, University Cancer Center Hamburg, Hamburg, Germany
| | - Georgia Chenevix-Trench
- QIMR Berghofer Medical Research Institute, Department of Genetics and Computational Biology, Brisbane, QLD, Australia
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- Oslo University Hospital-Radiumhospitalet, Department of Cancer Genetics, Institute for Cancer Research, Oslo, Norway; University of Oslo, Institute of Clinical Medicine, Faculty of Medicine, Oslo, Norway; Vestre Viken Hospital, Department of Research, Drammen, Norway; Oslo University Hospital, Department of Tumor Biology, Institute for Cancer Research, Oslo, Norway; Oslo University Hospital-Radiumhospitalet, Department of Oncology, Division of Surgery, Cancer and Transplantation Medicine, Oslo, Norway; Akershus University Hospital, Department of Oncology, Lørenskog, Norway; Oslo University Hospital, Oslo Breast Cancer Research Consortium, Oslo, Norway; Oslo University Hospital and University of Oslo, Department of Medical Genetics, Oslo, Norway; The Arctic University of Norway, Department of Community Medicine, Tromsø, Norway; The Arctic University of Norway, Core Facility for Biobanking, Tromsø, Norway
| | - Kamila Czene
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Brennan Decker
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK; Foundation Medicine, Inc, Pathology, Cambridge, MA, USA
| | - Joe Dennis
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Thilo Dörk
- Hannover Medical School, Gynaecology Research Unit, Hannover, Germany
| | - Leila Dorling
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Alison M Dunning
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Arif B Ekici
- Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Institute of Human Genetics, Erlangen, Germany
| | - Mikael Eriksson
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - D Gareth Evans
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | - Peter A Fasching
- University Hospital Erlangen, Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Jonine D Figueroa
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA; The University of Edinburgh, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK; The University of Edinburgh, Cancer Research UK Edinburgh Centre, Edinburgh, UK
| | - Henrik Flyger
- Copenhagen University Hospital, Department of Breast Surgery, Herlev and Gentofte Hospital, Herlev, Denmark
| | - Manuela Gago-Dominguez
- Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago, SERGAS, Genomic Medicine Group, International Cancer Genetics and Epidemiology Group, Santiago de Compostela, Spain; University of California San Diego, Moores Cancer Center, La Jolla, CA, USA
| | - Montserrat García-Closas
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | | | - Graham G Giles
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, VIC, Australia; The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC, Australia; Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, VIC, Australia
| | - Pascal Guénel
- INSERM, University Paris-Saclay, Center for Research in Epidemiology and Population Health, Team Exposome and Heredity, Villejuif, France
| | - Melanie Gündert
- German Cancer Research Center, Molecular Epidemiology Group, C080, Heidelberg, Germany; University of Heidelberg, Molecular Biology of Breast Cancer, University Womens Clinic Heidelberg, Heidelberg, Germany; Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Diabetes Research, Neuherberg, Germany
| | - Eric Hahnen
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne, Germany; Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology, Cologne, Germany
| | - Per Hall
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; Södersjukhuset, Department of Oncology, Stockholm, Sweden
| | - Ute Hamann
- German Cancer Research Center, Molecular Genetics of Breast Cancer, Heidelberg, Germany
| | - Patricia A Harrington
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Wei He
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
| | - Päivi Heikkilä
- University of Helsinki, Department of Pathology, Helsinki University Hospital, Helsinki, Finland
| | - Maartje J Hooning
- Erasmus MC Cancer Institute, Department of Medical Oncology, Rotterdam, the Netherlands
| | - Reiner Hoppe
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany
| | - Anthony Howell
- University of Manchester, Division of Cancer Sciences, Manchester, UK
| | - Keith Humphreys
- Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden
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- Peter MacCallum Cancer Center, Research Department, Melbourne, VIC, Australia; The University of Melbourne, Sir Peter MacCallum Department of Oncology, Melbourne, VIC, Australia
| | - Anna Jakubowska
- Pomeranian Medical University, Department of Genetics and Pathology, International Hereditary Cancer Center, Szczecin, Poland; Pomeranian Medical University, Independent Laboratory of Molecular Biology and Genetic Diagnostics, Szczecin, Poland
| | - Audrey Y Jung
- German Cancer Research Center, Division of Cancer Epidemiology, Heidelberg, Germany
| | - Renske Keeman
- The Netherlands Cancer Institute, Division of Molecular Pathology, Plesmanlaan 121, 1066 Amsterdam, the Netherlands
| | - Vessela N Kristensen
- University of Oslo, Institute of Clinical Medicine, Faculty of Medicine, Oslo, Norway; Oslo University Hospital and University of Oslo, Department of Medical Genetics, Oslo, Norway
| | - Jan Lubiński
- Pomeranian Medical University, Department of Genetics and Pathology, International Hereditary Cancer Center, Szczecin, Poland
| | - Arto Mannermaa
- University of Eastern Finland, Translational Cancer Research Area, Kuopio, Finland; University of Eastern Finland, Institute of Clinical Medicine, Pathology and Forensic Medicine, Kuopio, Finland; Kuopio University Hospital, Biobank of Eastern Finland, Kuopio, Finland
| | - Mehdi Manoochehri
- German Cancer Research Center, Molecular Genetics of Breast Cancer, Heidelberg, Germany
| | - Siranoush Manoukian
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Unit of Medical Genetics, Department of Medical Oncology and Hematology, Milan, Italy
| | - Sara Margolin
- Södersjukhuset, Department of Oncology, Stockholm, Sweden; Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
| | - Dimitrios Mavroudis
- University Hospital of Heraklion, Department of Medical Oncology, Heraklion, Greece
| | - Roger L Milne
- Cancer Council Victoria, Cancer Epidemiology Division, Melbourne, VIC, Australia; The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC, Australia; Monash University, Precision Medicine, School of Clinical Sciences at Monash Health, Clayton, VIC, Australia
| | - Anna Marie Mulligan
- University of Toronto, Department of Laboratory Medicine and Pathobiology, Toronto, ON, Canada; University Health Network, Laboratory Medicine Program, Toronto, ON, Canada
| | - William G Newman
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | | | - Paolo Peterlongo
- IFOM ETS - the AIRC Institute of Molecular Oncology, Genome Diagnostics Program, Milan, Italy
| | - Paul D P Pharoah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK; University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Valerie Rhenius
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | | | - Elinor J Sawyer
- King's College London, School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy's Campus, London, UK
| | - Rita K Schmutzler
- Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Familial Breast and Ovarian Cancer, Cologne, Germany; Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Integrated Oncology, Cologne, Germany; Faculty of Medicine and University Hospital Cologne, University of Cologne, Center for Molecular Medicine Cologne, Cologne, Germany
| | - Mitul Shah
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Amanda B Spurdle
- QIMR Berghofer Medical Research Institute, Population Health Program, Brisbane, QLD, Australia
| | - Ian Tomlinson
- University of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, UK; University of Oxford, Wellcome Trust Centre for Human Genetics and Oxford NIHR Biomedical Research Centre, Oxford, UK
| | - Thérèse Truong
- INSERM, University Paris-Saclay, Center for Research in Epidemiology and Population Health, Team Exposome and Heredity, Villejuif, France
| | - Elke M van Veen
- University of Manchester, Manchester Academic Health Science Centre, Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester, UK; St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, North West Genomics Laboratory Hub, Manchester Centre for Genomic Medicine, Manchester, UK
| | - Maaike P G Vreeswijk
- Leiden University Medical Center, Department of Human Genetics, Leiden, the Netherlands
| | - Qin Wang
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK
| | - Camilla Wendt
- Södersjukhuset, Department of Oncology, Stockholm, Sweden; Karolinska Institutet, Department of Clinical Science and Education, Södersjukhuset, Stockholm, Sweden
| | - Xiaohong R Yang
- National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Heli Nevanlinna
- University of Helsinki, Department of Obstetrics and Gynecology, Helsinki University Hospital, Helsinki, Finland
| | - Peter Devilee
- Leiden University Medical Center, Department of Human Genetics, Leiden, the Netherlands; Leiden University Medical Center, Department of Pathology, Leiden, the Netherlands
| | - Douglas F Easton
- University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, Cambridge, UK; University of Cambridge, Centre for Cancer Genetic Epidemiology, Department of Oncology, Cambridge, UK
| | - Marjanka K Schmidt
- The Netherlands Cancer Institute, Division of Molecular Pathology, Plesmanlaan 121, 1066 Amsterdam, the Netherlands; The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Division of Psychosocial Research and Epidemiology, Amsterdam, the Netherlands.
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Du J, Wu K. PCDHA1 High Expression is Associated With Poor Prognosis and Correlated With Immune Cell Infiltration in Breast Cancer. Clin Breast Cancer 2023; 23:397-407. [PMID: 36858841 DOI: 10.1016/j.clbc.2023.02.001] [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: 07/11/2022] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 02/12/2023]
Abstract
INTRODUCTION Breast cancer (BC) remains one of the biggest threats to women's health. Protocadherin gene Protocadherin Alpha 1 (PCDHA1) is abnormally highly expressed in breast cancer tissues. However, the biological role of PCDHA1 in breast cancer has not been fully elucidated and the relationship with the immune microenvironment needs to be further studied. MATERIALS AND METHODS TCGA-BRCA gene expression profiles were used to characterize PCDHA1. Kaplan-Meier method was used to estimate PCDHA1 prognosis potential. Gene set enrichment analysis (GSEA) analysis was performed to determine the signaling pathways altered by PCDHA1 aberrant expression. The correlations between PCDHA1 and immune cell infiltration levels were analyzed by CIBERSORT. Wilcoxon's rank-sum test was used to identify chemokine and chemokine receptors significantly associated with PCDHA1. The CCK8 assay and the transwell invasion assay were occupied to evaluate the effect of PCDHA1 overexpression on BC cells. RESULTS Survival analysis revealed PCDHA1 overexpression was associated with poor prognosis in BC. Enrichment analysis uncovered several metabolism pathways were activated by PCDHA1 overexpression. Moreover, PCDHA1 was positively correlated with activated NK cells but negatively correlated with resting NK cells infiltration. In addition, chemokines CCL28, CXCL17, and receptor CCR9 expression were associated with PCDHA1 overexpression. The CCK8 assay and the transwell invasion assay proved that PCDHA1 overexpression enhanced MCF-7 and MDA-MB-231 cell proliferation and invasion. CONCLUSION This study demonstrated that PCDHA1 effectively predicted BC prognosis. Upregulated PCDHA1 activated metabolism pathways, and promoted NK cells and chemokines. PCDHA1 overexpression enhanced BC cell proliferation and invasion. Therefore, an understanding of PCDHA1's function in BC may yield insights into the mechanisms of BC development.
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Affiliation(s)
- Jiawei Du
- Ultrasonography Department, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Kaidi Wu
- Ultrasonography Department, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.
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Comprehensively Analyze the Prognosis Significance and Immune Implication of PTPRO in Lung Adenocarcinoma. Mediators Inflamm 2023; 2023:5248897. [PMID: 36816740 PMCID: PMC9934981 DOI: 10.1155/2023/5248897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/17/2022] [Accepted: 11/24/2022] [Indexed: 02/11/2023] Open
Abstract
Immunotherapy for lung adenocarcinoma (LUAD) is considered to be a promising treatment option, but only a minority of patients benefit from it. Therefore, it is essential to clarify the regulation mechanism of the tumor immune microenvironment (TIM) of the LUAD. Receptor-type protein tyrosine phosphatase (PTPRO) has been shown to be a tumor suppressor in a variety of tumor; however, its role in LUAD has never been reported. In this study, we first found that PTPRO was lowly expressed in LUAD and positively correlated with patient prognosis. Next, we investigated the relationship between PTPRO and clinical characteristics, and the results showed that gender, age, T, and stage were closely related to the expression level of PTPRO. Moreover, we performed univariate and multivariate analyses, and the results revealed that PTPRO was a protective factor for LUAD. By constructing a nomogram based on the expression level of PTPRO and various clinical characteristics, it was proved that the nomogram has a good predictive capacity. Furthermore, we analyzed the coexpression network of PTPRO through multiple databases and performed GO and KEGG enrichment analyses. The results demonstrated that PTPRO was involved in the regulation of multiple immune pathways. In addition, we analyzed whether PTPRO expression of LUAD regulate immune cell infiltration and the results demonstrated that PTPRO was closely related to the infiltration of various immune cells. Finally, we predicted LUAD sensitivity to chemotherapeutics and response to immunotherapy by PTPRO expression levels. The results showed that PTPRO expression level affect the sensitivity of various chemotherapeutic drugs and may be involved in the efficacy of immunotherapy. These results we obtained suggested that PTPRO is closely related to the prognosis and TIM of LUAD, which may be a potential immunotherapeutic target for LUAD.
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Chen X, Zhang J, Lei X, Yang L, Li W, Zheng L, Zhang S, Ding Y, Shi J, Zhang L, Li J, Tang T, Jia W. CD1C is associated with breast cancer prognosis and immune infiltrates. BMC Cancer 2023; 23:129. [PMID: 36755259 PMCID: PMC9905770 DOI: 10.1186/s12885-023-10558-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 01/18/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND The tumor microenvironment (TME) in breast cancer plays a vital role in occurrence, development, and therapeutic responses. However, immune and stroma constituents in the TME are major obstacles to understanding and treating breast cancer. We evaluated the significance of TME-related genes in breast cancer. METHODS Invasive breast cancer (BRCA) samples were retrieved from the TCGA and GEO databases. Stroma and immune scores of samples as well as the proportion of tumor infiltrating immune cells (TICs) were calculated using the ESTIMATE and CIBERSORT algorithms. TME-related differentially expressed genes (DEGs) were analyzed by a protein interaction (PPI) network and univariate Cox regression to determine CD1C as a hub gene. Subsequently, the prognostic value of CD1C, its response to immunotherapy, and its mechanism in the TME were further studied. RESULTS In BRCA, DEGs were determined to identify CD1C as a hub gene. The expression level of CD1C in BRCA patients was verified based on the TCGA database, polymerase chain reaction (PCR) results, and western blot analysis. Immunohistochemical staining (IHC) results revealed a correlation between prognosis, clinical features, and CD1C expression in BRCA. Enrichment analysis of GSEA and GSVA showed that CD1C participates in immune-associated signaling pathways. CIBERSORT showed that CD1C levels were associated with tumor immune infiltrating cells (TILs), such as different kinds of T cells. Gene co-expression analysis showed that CD1C and the majority of immune-associated genes were co-expressed in BRCA. In renal cell carcinoma, patients with a high expression of CD1C had a better immunotherapy effect. CONCLUSION CD1C is an important part of the TME and participates in immune activity regulation in breast tumors. CD1C is expected to become a prognostic marker and a new treatment target for breast cancer.
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Affiliation(s)
- Xiao Chen
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
| | - Jianzhong Zhang
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
| | - Xinhan Lei
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
| | - Lei Yang
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
- Anhui Medical University, Hefei, China
| | - Wanwan Li
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Lu Zheng
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Shuai Zhang
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Yihan Ding
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Jianing Shi
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Lei Zhang
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Jia Li
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - Tong Tang
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China
| | - WenJun Jia
- The General Surgery Department of The Second Hospital of Anhui Medical University, Hefei, China.
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Armistead B, Jiang Y, Carlson M, Ford ES, Jani S, Houck J, Wu X, Jing L, Pecor T, Kachikis A, Yeung W, Nguyen T, Coig R, Minkah N, Larsen SE, Coler RN, Koelle DM, Harrington WE. Spike-specific T cells are enriched in breastmilk following SARS-CoV-2 mRNA vaccination. Mucosal Immunol 2023; 16:39-49. [PMID: 36642379 PMCID: PMC9836998 DOI: 10.1016/j.mucimm.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/20/2022] [Accepted: 01/07/2023] [Indexed: 01/15/2023]
Abstract
Human breastmilk is rich in T cells; however, their specificity and function are largely unknown. We compared the phenotype, diversity, and antigen specificity of T cells in breastmilk and peripheral blood of lactating individuals who received SARS-CoV-2 messenger RNA (mRNA) vaccination. Relative to blood, breastmilk contained higher frequencies of T effector and central memory populations that expressed mucosal-homing markers. T cell receptor sequence overlap was limited between blood and breastmilk. Overabundant breastmilk clones were observed in all individuals, were diverse, and contained complementarity-determining regions in three sequences with known epitope specificity, including to SARS-CoV-2 spike. SARS-CoV-2 spike-specific T cell receptors were more frequent in breastmilk compared to blood and expanded in breastmilk following a 3rd mRNA vaccine dose. Our observations indicate that the lactating breast contains a distinct T cell population that can be modulated by maternal vaccination with potential implications for passive infant protection.
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Affiliation(s)
- Blair Armistead
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Yonghou Jiang
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Marc Carlson
- Research Scientific Computing, Enterprise Analytics, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Emily S Ford
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Saumya Jani
- Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA
| | - John Houck
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Xia Wu
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Lichen Jing
- Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Tiffany Pecor
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Alisa Kachikis
- Department of Obstetrics & Gynecology, University of Washington, Seattle, Washington, USA
| | - Winnie Yeung
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Tina Nguyen
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Rene Coig
- Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA
| | - Nana Minkah
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA
| | - Sasha E Larsen
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Rhea N Coler
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA
| | - David M Koelle
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA; Department of Medicine, University of Washington, Seattle, Washington, USA; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA; Benaroya Research Institute, Seattle, Washington, USA
| | - Whitney E Harrington
- Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington, Seattle, Washington, USA; Department of Global Health, University of Washington, Seattle, Washington, USA.
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Singh KB, Hahm ER, Kim SH, Singh SV. Withaferin A Inhibits Fatty Acid Synthesis in Rat Mammary Tumors. Cancer Prev Res (Phila) 2023; 16:5-16. [PMID: 36251722 PMCID: PMC9812931 DOI: 10.1158/1940-6207.capr-22-0193] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/29/2022] [Accepted: 10/13/2022] [Indexed: 01/07/2023]
Abstract
Withaferin A (WA), which is a small molecule derived from a medicinal plant (Withania somnifera), inhibits growth of human breast cancer xenografts and mammary tumor development in rodent models without any toxicity. However, the mechanism underlying inhibition of mammary cancer development by WA administration is not fully understood. Herein, we demonstrate that the fatty acid synthesis pathway is a novel target of WA in mammary tumors. Treatment of MCF-7 and MDA-MB-231 cells with WA resulted in suppression of fatty acid metabolizing enzymes, including ATP-citrate lyase (ACLY), acetyl-CoA carboxylase 1 (ACC1), fatty acid synthase (FASN), and carnitine palmitoyltransferase 1A (CPT1A). Expression of FASN and CPT1A was significantly higher in N-methyl-N-nitrosourea-induced mammary tumors in rats when compared with normal mammary tissues. WA-mediated inhibition of mammary tumor development in rats was associated with a statistically significant decrease in expression of ACC1 and FASN and suppression of plasma and/or mammary tumor levels of total free fatty acids and phospholipids. WA administration also resulted in a significant increase in percentage of natural killer cells in the spleen. The protein level of sterol regulatory element binding protein 1 (SREBP1) was decreased in MDA-MB-231 cells after WA treatment. Overexpression of SREBP1 in MDA-MB-231 cells conferred partial but significant protection against WA-mediated downregulation of ACLY and ACC1. In conclusion, circulating and/or mammary tumor levels of fatty acid synthesis enzymes and total free fatty acids may serve as biomarkers of WA efficacy in future clinical trials. PREVENTION RELEVANCE The present study shows that breast cancer prevention by WA in rats is associated with suppression of fatty acid synthesis.
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Affiliation(s)
- Krishna B. Singh
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Eun-Ryeong Hahm
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Su-Hyeong Kim
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Shivendra V. Singh
- Department of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania,UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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Lanciano T, Savino A, Porcu F, Cittaro D, Bonchi F, Provero P. Contrast subgraphs allow comparing homogeneous and heterogeneous networks derived from omics data. Gigascience 2022; 12:giad010. [PMID: 36852877 PMCID: PMC9972522 DOI: 10.1093/gigascience/giad010] [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: 08/03/2022] [Revised: 11/30/2022] [Accepted: 02/08/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Biological networks are often used to describe the relationships between relevant entities, particularly genes and proteins, and are a powerful tool for functional genomics. Many important biological problems can be investigated by comparing biological networks between different conditions or networks obtained with different techniques. FINDINGS We show that contrast subgraphs, a recently introduced technique to identify the most important structural differences between 2 networks, provide a versatile tool for comparing gene and protein networks of diverse origin. We demonstrate the use of contrast subgraphs in the comparison of coexpression networks derived from different subtypes of breast cancer, coexpression networks derived from transcriptomic and proteomic data, and protein-protein interaction networks assayed in different cell lines. CONCLUSIONS These examples demonstrate how contrast subgraphs can provide new insight in functional genomics by extracting the gene/protein modules whose connectivity is most altered between 2 conditions or experimental techniques.
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Affiliation(s)
| | - Aurora Savino
- Department of Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, University of Turin, Turin 10126, Italy
| | | | - Davide Cittaro
- Center for Omics Sciences, San Raffaele Scientific Institute IRCSS, Milan 20132, Italy
| | | | - Paolo Provero
- Center for Omics Sciences, San Raffaele Scientific Institute IRCSS, Milan 20132, Italy
- Department of Neurosciences “Rita Levi Montalcini,” University of Turin, Turin 10126, Italy
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Abstract
To investigate the impact of lactate metabolism genes, lactate metabolism-related genes (LMRG), and immune infiltrating cells on the prognosis of breast cancer. LMRG was identified via single-cell sequencing. Immune cell infiltration was obtained by the CIBERSORT method. The prognostic genes were chosen by cox regression and the least absolute selection operator approach. lactate metabolism-associated immune-infiltrating cells was determined by difference analysis. The GSE20685 dataset was used as an external validation cohort. The model's prognostic usefulness was evaluated utilizing survival, immunological microenvironment, and drug sensitivity assessments. NDUFAF6 was most associated with breast cancer prognosis. We obtained a total of 450 LMRG. SUSD3, IL18, MAL2, and CDKN1C comprised the Model2. NK cell activation was most relevant to lactate metabolism. The combined prognostic model outperformed the individual model, with the area under the curve ranging from 0.7 to 0.8 in all three cohorts. The lactate metabolism-related combination model assisted in evaluating breast cancer prognosis, providing new insights for treatment, particularly immunotherapy.
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Affiliation(s)
- Na Lu
- Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Xiao Guan
- Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
| | - Wei Bao
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zongyao Fan
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jianping Zhang
- Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China
- * Correspondence: Jianping Zhang, Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, No. 121, Jiangjiayuan Road, Nanjing, Jiangsu Province 210011, China (e-mail: )
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Recent advances in atezolizumab-based programmed death-ligand 1 (PD-L1) blockade therapy for breast cancer. Int Immunopharmacol 2022; 113:109334. [DOI: 10.1016/j.intimp.2022.109334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 10/08/2022] [Accepted: 10/08/2022] [Indexed: 11/05/2022]
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Zhong Y, Ren X, Cao X, Xu Y, Song Y, Zhou Y, Mao F, Shen S, Wang Z, Sun Q. Insulin-like growth factor 2 receptor is a key immune-related gene that is correlated with a poor prognosis in patients with triple-negative breast cancer: A bioinformatics analysis. Front Oncol 2022; 12:871786. [PMID: 36330486 PMCID: PMC9624382 DOI: 10.3389/fonc.2022.871786] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 09/27/2022] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Immunotherapy plays an important role in the treatment of triple-negative breast cancer (TNBC). This study aimed to identify immune-related genes that are associated with the prognosis of patients with TNBC as possible targets of immunotherapy, alongside their related tumor-infiltrating lymphocytes (TILs). METHODS The clinical data and gene expression profiles of patients with breast cancer were extracted from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and divided into training (n = 1,053) and verification (n = 508) groups. CIBERSORT was used to predict the differences in immune cell infiltration in patient subsets that were stratified according to risk. Gene Ontology (GO) enrichment analysis was used to identify pathways associated with immune-related genes in patient subsets that were stratified according to risk. The clinical data and insulin-like growth factor 2 receptor (IGF2R) expression profiles of patients with breast cancer were extracted from METABRIC. The expression of IGF2R and TILs were evaluated in a cohort containing 282 untreated patients with TNBC. The correlations of IGF2R expression, TILs, and clinicopathological parameters with patient prognosis were analyzed in the whole cohort. RESULTS The prognostic model, which was composed of 26 immune-related gene pairs, significantly distinguished between high- and low-risk patients. Univariate and multivariate analyses indicated that the model was an independent prognostic factor for breast cancer. Among the identified genes, the expression of IGF2R significantly distinguished between high- and low-risk patients in TCGA (P = 0.008) and in METABRIC patients (P < 0.001). The expression of IGF2R was significantly associated with clinical risk factors such as TNBC, estrogen receptor (ER)-negative expression, human epidermal growth factor receptor 2 (HER2)-positive expression, and age ≤60 years old in METABRIC patients. In addition, the patients with IGF2R-positive expression had lower disease-free survival (DFS) rates than those with IGF2R-negative expression in the TNBC cohort (67.8% vs. 78.5%, P = 0.023). IGF2R expression also was significantly negatively correlated with TILs, particularly with CD8+ TILs and CD19+ TILs in the cohort of patients with TNBC. CONCLUSION IGF2R can be used as an indicator of a poor prognosis in patients with TNBC and as a potential target and research direction for TNBC immunotherapy in the future.
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Affiliation(s)
- Ying Zhong
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Xinyu Ren
- Department of Pathology, Peking Union Medical College Hospital, Beijing, China
| | - Xi Cao
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Yali Xu
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Yu Song
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Yidong Zhou
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Feng Mao
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Songjie Shen
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Zhe Wang
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
| | - Qiang Sun
- Department of Breast Disease, Peking Union Medical College Hospital, Beijing, China
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50
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Resveratrol in breast cancer treatment: from cellular effects to molecular mechanisms of action. Cell Mol Life Sci 2022; 79:539. [PMID: 36194371 DOI: 10.1007/s00018-022-04551-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 11/03/2022]
Abstract
Breast cancer (BC) is one of the most common cancers in females and is responsible for the highest cancer-related deaths following lung cancer. The complex tumor microenvironment and the aggressive behavior, heterogenous nature, high proliferation rate, and ability to resist treatment are the most well-known features of BC. Accordingly, it is critical to find an effective therapeutic agent to overcome these deleterious features of BC. Resveratrol (RES) is a polyphenol and can be found in common foods, such as pistachios, peanuts, bilberries, blueberries, and grapes. It has been used as a therapeutic agent for various diseases, such as diabetes, cardiovascular diseases, inflammation, and cancer. The anticancer mechanisms of RES in regard to breast cancer include the inhibition of cell proliferation, and reduction of cell viability, invasion, and metastasis. In addition, the synergistic effects of RES in combination with other chemotherapeutic agents, such as docetaxel, paclitaxel, cisplatin, and/or doxorubicin may contribute to enhancing the anticancer properties of RES on BC cells. Although, it demonstrates promising therapeutic features, the low water solubility of RES limits its use, suggesting the use of delivery systems to improve its bioavailability. Several types of nano drug delivery systems have therefore been introduced as good candidates for RES delivery. Due to RES's promising potential as a chemopreventive and chemotherapeutic agent for BC, this review aims to explore the anticancer mechanisms of RES using the most up to date research and addresses the effects of using nanomaterials as delivery systems to improve the anticancer properties of RES.
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