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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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Han F, Chen S, Zhang K, Zhang K, Wang M, Wang P. Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer. J Transl Med 2024; 22:288. [PMID: 38493128 PMCID: PMC10944599 DOI: 10.1186/s12967-024-05057-2] [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: 12/27/2023] [Accepted: 03/02/2024] [Indexed: 03/18/2024] Open
Abstract
OBJECTIVE Non-small cell lung cancer (NSCLC) often exhibits resistance to radiotherapy, posing significant treatment challenges. This study investigates the role of SMAD3 in NSCLC, focusing on its potential in influencing radiosensitivity via the ITGA6/PI3K/Akt pathway. METHODS The study utilized gene expression data from the GEO database to identify differentially expressed genes related to radiotherapy resistance in NSCLC. Using the GSE37745 dataset, prognostic genes were identified through Cox regression and survival analysis. Functional roles of target genes were explored using Gene Set Enrichment Analysis (GSEA) and co-expression analyses. Gene promoter methylation levels were assessed using databases like UALCAN, DNMIVD, and UCSC Xena, while the TISCH database provided insights into the correlation between target genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on NSCLC patient samples, in vitro studies on isolated CAFs cells, and in vivo nude mouse tumor models. RESULTS Fifteen key genes associated with radiotherapy resistance in NSCLC cells were identified. SMAD3 was recognized as an independent prognostic factor for NSCLC, linked to poor patient outcomes. High expression of SMAD3 was correlated with low DNA methylation in its promoter region and was enriched in CAFs. In vitro and in vivo experiments confirmed that SMAD3 promotes radiotherapy resistance by activating the ITGA6/PI3K/Akt signaling pathway. CONCLUSION High expression of SMAD3 in NSCLC tissues, cells, and CAFs is closely associated with poor prognosis and increased radiotherapy resistance. SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
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Affiliation(s)
- Fushi Han
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai, 200065, People's Republic of China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, 200065, China
| | - Shuzhen Chen
- Department of Nuclear Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, People's Republic of China
| | - Kangwei Zhang
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai, 200065, People's Republic of China
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, 200065, China
| | - Kunming Zhang
- Department of Internal Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, People's Republic of China
| | - Meng Wang
- Department of Radiotherapy, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, People's Republic of China
| | - Peijun Wang
- Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai, 200065, People's Republic of China.
- Institute of Medical Imaging Artificial Intelligence, Tongji University School of Medicine, Shanghai, 200065, China.
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Jachowski A, Marcinkowski M, Szydłowski J, Grabarczyk O, Nogaj Z, Marcin Ł, Pławski A, Jagodziński PP, Słowikowski BK. Modern therapies of nonsmall cell lung cancer. J Appl Genet 2023; 64:695-711. [PMID: 37698765 PMCID: PMC10632224 DOI: 10.1007/s13353-023-00786-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 09/13/2023]
Abstract
Lung cancer (LC), particularly nonsmall cell lung cancer (NSCLC), is one of the most prevalent types of neoplasia worldwide, regardless of gender, with the highest mortality rates in oncology. Over the years, treatment for NSCLC has evolved from conventional surgery, chemotherapy, and radiotherapy to more tailored and minimally invasive approaches. The use of personalised therapies has increased the expected efficacy of treatment while simultaneously reducing the frequency of severe adverse effects (AEs). In this review, we discuss established modern approaches, including immunotherapy and targeted therapy, as well as experimental molecular methods like clustered regularly interspaced short palindromic repeat (CRISPR) and nanoparticles. These emerging methods offer promising outcomes and shorten the recovery time for various patients. Recent advances in the diagnostic field, including imaging and genetic profiling, have enabled the implementation of these methods. The versatility of these modern therapies allows for multiple treatment options, such as single-agent use, combination with existing conventional treatments, or incorporation into new regimens. As a result, patients can survive even in the advanced stages of NSCLC, leading to increased survival indicators such as overall survival (OS) and progression-free survival (PFS).
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Affiliation(s)
- Andrzej Jachowski
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Mikołaj Marcinkowski
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Jakub Szydłowski
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Oskar Grabarczyk
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Zuzanna Nogaj
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Łaz Marcin
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Andrzej Pławski
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszyńska 32 Street, 60-479, Poznań, Poland
| | - Paweł Piotr Jagodziński
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland
| | - Bartosz Kazimierz Słowikowski
- Department of Biochemistry and Molecular Biology, Poznań University of Medical Sciences, Święcickiego 6 Street, 60-781, Poznań, Poland.
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Jagasia S, Tasci E, Zhuge Y, Camphausen K, Krauze AV. Identifying patients suitable for targeted adjuvant therapy: advances in the field of developing biomarkers for tumor recurrence following irradiation. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2023; 8:33-42. [PMID: 37982134 PMCID: PMC10655913 DOI: 10.1080/23808993.2023.2276927] [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: 06/13/2023] [Accepted: 10/25/2023] [Indexed: 11/21/2023]
Abstract
Introduction Radiation therapy (RT) is commonly used to treat cancer in conjunction with chemotherapy, immunotherapy, and targeted therapies. Despite the effectiveness of RT, tumor recurrence due to treatment resistance still lead to treatment failure. RT-specific biomarkers are currently lacking and remain challenging to investigate with existing data since, for many common malignancies, standard of care (SOC) paradigms involve the administration of RT in conjunction with other agents. Areas Covered Established clinically relevant biomarkers are used in surveillance, as prognostic indicators, and sometimes for treatment planning; however, the inability to intercept early recurrence or predict upfront resistance to treatment remains a significant challenge that limits the selection of patients for adjuvant therapy. We discuss attempts at intercepting early failure. We examine biomarkers that have made it into the clinic where they are used for treatment monitoring and management alteration, and novel biomarkers that lead the field with targeted adjuvant therapy seeking to harness these. Expert Opinion Given the growth of data correlating interventions with omic analysis toward identifying biomarkers of radiation resistance, more robust markers of recurrence that link to biology will increasingly be leveraged toward targeted adjuvant therapy to make a successful transition to the clinic in the coming years.
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Affiliation(s)
- S Jagasia
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - E Tasci
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - Ying Zhuge
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - K Camphausen
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
| | - A V Krauze
- Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA
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Bian Q, Li B, Zhang L, Sun Y, Zhao Z, Ding Y, Yu H. Molecular pathogenesis, mechanism and therapy of Cav1 in prostate cancer. Discov Oncol 2023; 14:196. [PMID: 37910338 PMCID: PMC10620365 DOI: 10.1007/s12672-023-00813-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/25/2023] [Indexed: 11/03/2023] Open
Abstract
Prostate cancer is the second incidence of malignant tumors in men worldwide. Its incidence and mortality are increasing year by year. Enhanced expression of Cav1 in prostate cancer has been linked to both proliferation and metastasis of cancer cells, influencing disease progression. Dysregulation of the Cav1 gene shows a notable association with prostate cancer. Nevertheless, there is no systematic review to report about molecular signal mechanism of Cav1 and drug treatment in prostate cancer. This article reviews the structure, physiological and pathological functions of Cav1, the pathogenic signaling pathways involved in prostate cancer, and the current drug treatment of prostate cancer. Cav1 mainly affects the occurrence of prostate cancer through AKT/mTOR, H-RAS/PLCε, CD147/MMPs and other pathways, as well as substance metabolism including lipid metabolism and aerobic glycolysis. Baicalein, simvastatin, triptolide and other drugs can effectively inhibit the growth of prostate cancer. As a biomarker of prostate cancer, Cav1 may provide a potential therapeutic target for the treatment of prostate cancer.
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Affiliation(s)
- Qiang Bian
- Department of Pathophysiology, Weifang Medicine University, Weifang, 261053, Shandong, People's Republic of China
- Department of Biochemistry, Jining Medical University, Jining, 272067, Shandong, People's Republic of China
- The Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, 272100, Shandong, People's Republic of China
| | - Bei Li
- Department of Radiological Image, Zhengzhou University People's Hospital, Zhengzhou, 450003, Henan, People's Republic of China
| | - Luting Zhang
- Department of Biochemistry, Jining Medical University, Jining, 272067, Shandong, People's Republic of China
| | - Yinuo Sun
- Department of Biochemistry, Jining Medical University, Jining, 272067, Shandong, People's Republic of China
| | - Zhankui Zhao
- The Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, 272100, Shandong, People's Republic of China
| | - Yi Ding
- Department of Pathophysiology, Weifang Medicine University, Weifang, 261053, Shandong, People's Republic of China.
| | - Honglian Yu
- Department of Biochemistry, Jining Medical University, Jining, 272067, Shandong, People's Republic of China.
- The Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, 272100, Shandong, People's Republic of China.
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Zhang H, Wang Y, Wang K, Ding Y, Li X, Zhao S, Jia X, Sun D. Prognostic analysis of lung adenocarcinoma based on cancer-associated fibroblasts genes using scRNA-sequencing. Aging (Albany NY) 2023; 15:6774-6797. [PMID: 37437244 PMCID: PMC10415565 DOI: 10.18632/aging.204838] [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: 03/21/2023] [Accepted: 06/09/2023] [Indexed: 07/14/2023]
Abstract
Cancer-associated fibroblasts (CAFs) are an important component of the tumor microenvironment (TME). CAFs can promote tumor occurrence and metastasis by promoting cancer cell proliferation, angiogenesis, extracellular matrix (ECM) remodeling, and drug resistance. Nevertheless, how CAFs are related to Lung adenocarcinoma (LUAD) has not yet been revealed, especially since the CAFs-related prediction model has yet to be established. We combined Single-cell RNA-sequencing (scRNA-seq) and Bulk-RNA data to develop a predictive model of 8 CAFs-associated genes. Our model predicted LUAD prognosis and immunotherapy efficacy. TME, mutation landscape and drug sensitivity differences were also systematically analyzed between the LUAD patients of high- and low-risk. Moreover, the model prognostic performance was validated in four independent validation cohorts in the Gene expression omnibus (GEO) and the IMvigor210 immunotherapy cohort.
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Affiliation(s)
- Han Zhang
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, China
| | - Yuhang Wang
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, China
| | - Kai Wang
- Department of Thoracic Surgery, Tianjin Chest Hospital of Tianjin University, Tianjin, China
| | - Yun Ding
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, China
| | - Xin Li
- Department of Thoracic Surgery, Tianjin Chest Hospital of Tianjin University, Tianjin, China
| | - Shuai Zhao
- Department of Thoracic Surgery, Tianjin Chest Hospital of Tianjin University, Tianjin, China
| | - Xiaoteng Jia
- Clinical School of Thoracic, Tianjin Medical University, Tianjin, China
| | - Daqiang Sun
- Department of Thoracic Surgery, Tianjin Chest Hospital of Tianjin University, Tianjin, China
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3-Bromopyruvate inhibits pancreatic tumor growth by stalling glycolysis, and dismantling mitochondria in a syngeneic mouse model. Am J Cancer Res 2022; 12:4977-4987. [PMID: 36504891 PMCID: PMC9729896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/25/2022] [Indexed: 12/15/2022] Open
Abstract
Pancreatic cancer (PC) is the fourth-most-deadly cancer in the United States with a 5-year survival rate of only 8%. The majority of patients with locally advanced pancreatic cancer undergo chemotherapy and/or radiation therapy (RT). However, current treatments are inadequate and novel strategies are desperately required. 3-Bromopyruvate (3-BP) is a promising anticancer drug against pancreatic cancer. It exerts potent anticancer effects by inhibiting hexokinase II enzyme (HK2) of the glycolytic pathway in cancer cells while not affecting the normal cells. 3-BP killed 95% of Panc-2 cells at 15 μM concentration and severely inhibited ATP production by disrupting the interaction between HK2 and mitochondrial Voltage Dependent Anion Channel-1 (VDAC1) protein. Electron microscopy data revealed that 3-BP severely damaged mitochondrial membrane in cancer cells. We further examined therapeutic effect of 3-BP in syngeneic mouse pancreatic cancer model by treating animals with 10, 15 and 20 mg/kg dose. 3-BP at 15 & 20 mg/kg dose level significantly reduced tumor growth by approximately 75-80% in C57BL/6 female mice. Immunohistochemistry data showed complete inhibition of hexokinase II (HK2) and TGFβ, in animals treated with 3-BP drug. We also observed enhanced expression of active caspase-3 in tumor tissues exhibited apoptotic death. Flow Cytometry analysis showed significant inhibition in MDSC (CD11b) population in treated tumor which may have allowed infiltration of CD8+ T cells and inhibited tumor growth. Notably, metabolomic data also revealed severe inhibition in glycolysis, NADP, ATP and lactic acid production in cancer cells treated with 40 μM 3-BP. Importantly, we also observed inhibition in lactic acid production responsible for tumor aggression. These results provide new evidence that 3-BP severely inhibit glucose metabolism in cancer cells by blocking hexokinase II, and disrupting mitochondria by suppressing BCL2L1 in pancreatic cancer.
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He L, Liang M, Guo W, Liu J, Yu Y. HOXA1 is a radioresistance marker in multiple cancer types. Front Oncol 2022; 12:965427. [PMID: 36119466 PMCID: PMC9478604 DOI: 10.3389/fonc.2022.965427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
Radiotherapy is an important therapeutic method for patients with cancer. However, radioresistance can cause treatment failure. Thus, there is an urgent need to investigate mechanisms of radioresistance and identity markers that could be used to predict radioresistance and prognosis of post-radiotherapy cancer patients. In the present study, we propose HOXA1 as a candidate biomarker of intrinsic radioresistance in multiple cancer types. By analyzing data from The Cancer Genome Atlas (TCGA), we found that HOXA1 was aberrantly upregulated in multiple cancers, and that elevated HOXA1 was significantly associated with poor prognosis of post-radiotherapy head and neck squamous cell carcinoma (HNSCC) and low-grade glioma (LGG) patients. Correlation analysis showed that HOXA1 expression was positively correlated with expression of EGFR, CDK6, and CAV1, which have been reported to enhance radioresistance. In addition, gene set enrichment analysis (GSEA) showed that the oxidative phosphorylation gene set was negatively enriched in HOXA1 high-expression samples in both HNSCC and LGG. Moreover, immunohistochemical assays indicated that high HOXA1 expression was significantly correlated with a high recurrence rate of nasopharyngeal carcinoma (NPC) after radiotherapy. Further in vitro experiments demonstrated that HOXA1 knockdown markedly attenuated the DNA repair capacity of NPC cells and sensibilized NPC cells to irradiation. Taken together, the results of this study demonstrate that HOXA1 has potential to be a predictive marker for radioresistance and post-radiotherapy prognosis that could help to guide individualized treatment in multiple cancer types.
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Affiliation(s)
- Lu He
- Department of Radiotherapy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Min Liang
- Department of Oncology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Weisheng Guo
- Department of Radiotherapy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
| | - Jinquan Liu
- Department of Radiotherapy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Yi Yu, ; Jinquan Liu,
| | - Yi Yu
- Department of Radiotherapy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China
- *Correspondence: Yi Yu, ; Jinquan Liu,
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Interplay between Caveolin-1 and body and tumor size affects clinical outcomes in breast cancer. Transl Oncol 2022; 22:101464. [PMID: 35660849 PMCID: PMC9166433 DOI: 10.1016/j.tranon.2022.101464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/09/2022] [Accepted: 05/23/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Caveolin-1 (CAV1) is associated with cholesterol-rich membrane raft domains and is a master regulator of cell signaling and membrane transport. Here, we investigated CAV1's role in cellular compartments of breast cancer in relation to signaling pathways, clinicopathological features, and clinical outcomes. METHODS CAV1 levels were evaluated with immunohistochemistry in cytoplasm of invasive tumor cells and stromal cells in tumor tissue microarrays from a cohort of 1018 breast cancer patients (inclusion 2002-2012, Sweden). Cytoplasmic and stromal CAV1 were categorized as positive/negative and strong/not strong, respectively. CAV1 expression in relation to clinical outcomes was assessed with Cox regression. Investigations into CAV1 functional pathways was conducted in the STRING, GOBO, and TCGA databases. RESULTS CAV1 expression was associated with non-luminal subtypes, cell cycle control, inflammation, epithelial-mesenchymal transition, and the IGF/Insulin system. Generally, CAV1 was not associated with recurrence risk. Stromal CAV1's impact on recurrence risk was modified by BMI ≥25 kg/m2 (Pinteraction = 0.002), waist ≥80 cm (Pinteraction = 0.005), and invasive tumor size (pT2/3/4) (Pinteraction = 0.028). In low-risk patients only, strong stromal CAV1 significantly increased recurrence risk (HRsadj ≥1.61). In all patients, positive cytoplasmic CAV1 conferred >2-fold risk for contralateral disease HRadj 2.63 (95% CI 1.36-5.10). Strong stromal CAV1 conferred nearly 2-fold risk for locoregional recurrence HRadj 1.88 (95% CI 1.09-3.24). CONCLUSIONS CAV1's prognostic impact depended on its localization, anthropometric, and tumor factors. Stromal CAV1 predicted high recurrence risk in a group of supposedly 'low-risk' patients. Cytoplasmic CAV1 predicted metachronous contralateral disease. If confirmed, CAV1 could be used as treatment target and for risk-stratification.
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Correction: Role of caveolin-1 as a biomarker for radiation resistance and tumor aggression in lung cancer. PLoS One 2022; 17:e0268256. [PMID: 35503800 PMCID: PMC9064073 DOI: 10.1371/journal.pone.0268256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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