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Abdullah AR, Gamal El-Din AM, Ismail Y, El-Husseiny AA. The FSCN1 gene rs2966447 variant is associated with increased serum fascin-1 levels and breast cancer susceptibility. Gene 2024; 927:148743. [PMID: 38964493 DOI: 10.1016/j.gene.2024.148743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 06/26/2024] [Accepted: 07/01/2024] [Indexed: 07/06/2024]
Abstract
Fascin-1 (FSCN1) is recognized as an actin-binding protein, commonly exhibits up-regulation in breast cancer (BC) and is crucial for tumor invasion and metastasis. The existence of FSCN1 gene polymorphisms may raise the potential for developing BC, and there are still no studies focusing on the relationship between the FSCN1 rs2966447 variant and BC risk in Egyptian females. Thus, we investigated the serum fascin-1 levels in BC patients and the association between the FSCN1 rs2966447 variant with its serum levels and BC susceptibility. Genotyping was conducted in 153 treatment-naïve BC females with different stages and 144 apparent healthy females by TaqMan® allelic discrimination assay, whereas serum fascin-1 level quantification was employed by ELISA. The FSCN1 rs2966447 variant demonstrated a significant association with BC susceptibility under all utilized genetic models, cancer stages and estrogen receptor negativity. Also, BC females with AT and TT genotypes had higher serum fascin-1 levels and tumor size than those with the AA genotype. Moreover, serum fascin-1 levels were significantly elevated in the BC females, notably in those with advanced-stages. Furthermore, serum fascin-1 levels were markedly positively correlated with number of positive lymph nodes as well as tumor size. Collectively, these findings revealed that the FSCN1 rs2966447 variant may be regarded as a strong candidate for BC susceptibility. Also, this intronic variant is associated with increased serum fascin-1 levels and tumor size.
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Affiliation(s)
- Ahmed R Abdullah
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Ayman M Gamal El-Din
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Yahia Ismail
- Medical Oncology Department, National Cancer Institute, Cairo University, Cairo 11796, Egypt
| | - Ahmed A El-Husseiny
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy, Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry, Faculty of Pharmacy, Egyptian Russian University, Badr City 11829, Cairo, Egypt.
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2
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Romaniuk-Drapała A, Totoń E, Taube M, Idzik M, Rubiś B, Lisiak N. Breast Cancer Stem Cells and Tumor Heterogeneity: Characteristics and Therapeutic Strategies. Cancers (Basel) 2024; 16:2481. [PMID: 39001543 PMCID: PMC11240630 DOI: 10.3390/cancers16132481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 06/27/2024] [Accepted: 07/05/2024] [Indexed: 07/16/2024] Open
Abstract
Breast cancer is one of the most frequently detected malignancies worldwide. It is responsible for more than 15% of all death cases caused by cancer in women. Breast cancer is a heterogeneous disease representing various histological types, molecular characteristics, and clinical profiles. However, all breast cancers are organized in a hierarchy of heterogeneous cell populations, with a small proportion of cancer stem cells (breast cancer stem cells (BCSCs)) playing a putative role in cancer progression, and they are responsible for therapeutic failure. In different molecular subtypes of breast cancer, they present different characteristics, with specific marker profiles, prognoses, and treatments. Recent efforts have focused on tackling the Wnt, Notch, Hedgehog, PI3K/Akt/mTOR, and HER2 signaling pathways. Developing diagnostics and therapeutic strategies enables more efficient elimination of the tumor mass together with the stem cell population. Thus, the knowledge about appropriate therapeutic methods targeting both "normal" breast cancer cells and breast cancer stem cell subpopulations is crucial for success in cancer elimination.
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Affiliation(s)
- Aleksandra Romaniuk-Drapała
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
| | - Ewa Totoń
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
| | - Magdalena Taube
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
| | - Malgorzata Idzik
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
| | - Błażej Rubiś
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
| | - Natalia Lisiak
- Department of Clinical Chemistry and Molecular Diagnostics, Poznan University of Medical Sciences, Collegium Pharmaceuticum, Rokietnicka Str. 3, 60-806 Poznan, Poland
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Altriche N, Gallant S, Augustine TN, Xulu KR. Navigating the Intricacies of Tumor Heterogeneity: An Insight into Potential Prognostic Breast Cancer Biomarkers. Biomark Insights 2024; 19:11772719241256798. [PMID: 38895160 PMCID: PMC11185041 DOI: 10.1177/11772719241256798] [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: 08/23/2023] [Accepted: 04/24/2024] [Indexed: 06/21/2024] Open
Abstract
Breast cancer is a heterogeneous disease with diverse histological and molecular subtypes. Luminal breast tumors are the most diagnosed subtype. In luminal breast cancer, hormone receptors (including ER, PR, HER2) play a diagnostic and prognostic role. Despite the effectiveness of endocrine therapy in luminal breast tumors, tumor recurrence and resistance occur, and this may highlight evolutionary strategies for survival driven by stemness. In this review we thus consider the association between estrogen signaling and stemness in mediating tumor processes. Many studies report stemness as one of the factors promoting tumor progression. Its association with estrogen signaling warrants further investigation and provides an opportunity for the identification of novel biomarkers which may be used for diagnostic, prognostic, and therapeutic purposes. Breast cancer stem cells have been characterized (CD44+ CD24-) and their role in promoting treatment resistance and tumor recurrence widely studied; however, the complexity of tumor progression which also involve microenvironmental factors suggests the existence of more varied cell phenotypes which mediate stemness and its role in tumor progression.
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Affiliation(s)
- Nastassia Altriche
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Simone Gallant
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Tanya Nadine Augustine
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
| | - Kutlwano Rekgopetswe Xulu
- School of Anatomical Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Gauteng, South Africa
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4
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Čužić S, Antolić M, Ognjenović A, Milutinović V, Iviš SV, Glojnarić I, Bosnar M, Požgaj L, Prenc E, Haber VE. Translational pathology in drug discovery. Front Pharmacol 2024; 15:1409092. [PMID: 38915468 PMCID: PMC11194691 DOI: 10.3389/fphar.2024.1409092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/23/2024] [Indexed: 06/26/2024] Open
Affiliation(s)
- Snježana Čužić
- In vivo Pharmacology and Toxicology, Selvita, Zagreb, Croatia
| | - Maja Antolić
- In vivo Pharmacology and Toxicology, Selvita, Zagreb, Croatia
| | - Anja Ognjenović
- In vivo Pharmacology and Toxicology, Selvita, Zagreb, Croatia
| | - Vuk Milutinović
- In vivo Pharmacology and Toxicology, Selvita, Zagreb, Croatia
| | | | - Ines Glojnarić
- In vivo Pharmacology and Toxicology, Selvita, Zagreb, Croatia
| | | | - Lidija Požgaj
- Pharmacology and Translational Research, Selvita, Zagreb, Croatia
| | - Ema Prenc
- Pharmacology and Translational Research, Selvita, Zagreb, Croatia
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Bisht A, Bhowmik S, Patel P, Gupta GD, Kurmi BD. Aptamer as a targeted approach towards treatment of breast cancer. J Drug Target 2024; 32:510-528. [PMID: 38512151 DOI: 10.1080/1061186x.2024.2333866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 03/16/2024] [Indexed: 03/22/2024]
Abstract
Aptamers, a novel type of targeted ligand used in drug delivery, have quickly gained popularity due to their high target specificity and affinity. Different aptamer-mediated drug delivery systems, such as aptamer-drug conjugate (ApDC), aptamer-siRNA, and aptamer-functionalised nanoparticle systems, are currently being developed for the successful treatment of cancer based on the excellent properties of aptamers. These systems can decrease potential toxicity and enhance therapeutic efficacy by targeting the drug moiety. In this review, we provide an overview of recent developments in aptamer-mediated delivery systems for cancer therapy, specifically for breast cancer, and talk about the potential applications and current issues of novel aptamer-based techniques. This study in aptamer technology for breast cancer therapy highlights key aptamers targeting well-established biomarkers such as HER2, oestrogen receptor, and progesterone receptor. Additionally, we explore the potential of aptamers in overcoming various challenges such as drug resistance and improving the delivery of therapeutic agents. This review aims to provide a deeper understanding of the present aptamer-based targeted delivery applications through in-depth analysis to increase efficacy and create new therapeutic approaches that may ultimately lead to better treatment outcomes for cancer patients.
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Affiliation(s)
- Anjali Bisht
- Department of Pharmaceutical Quality Assurance, ISF College Pharmacy, Moga, India
| | | | - Preeti Patel
- Department of Pharmaceutical Chemistry, ISF College Pharmacy, Moga, India
| | | | - Balak Das Kurmi
- Department of Pharmaceutics, ISF College Pharmacy, Moga, India
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Gómez-Rázuri K, Abad-Licham M, Astigueta J, Moreno J. Breast cancer in northern Peru: molecular subtypes and HER2 low. Rev Peru Med Exp Salud Publica 2024; 41:62-68. [PMID: 38808846 PMCID: PMC11149756 DOI: 10.17843/rpmesp.2024.411.13424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/28/2024] [Indexed: 05/30/2024] Open
Abstract
This study aimed to understand the immunohistochemical profile of breast cancer and to identify the HER2 low subgroup in the northern macro-region of Peru. A cross-sectional study was conducted in 1176 patients from the Regional Institute of Neoplastic Diseases Northern Peru, from January 2016 to December 2023. We analyzed the data (age, histological type, grade and complementary results), with frequencies and percentages. The profile corresponded to: luminal B (45.6%); luminal A (24.7%); triple negative (18.2%); and HER2 positive non luminal (11.5%). In addition, 215 patients presented HER2 low (25.1% of those previously considered negative). This study provides evidence that the subtyping of breast cancer has changed, being luminal B the most frequent. It is essential to involve health policies to acquire targeted therapies considering HER2 low patients. Motivation for the study. Molecular classification of breast cancer allows the use of targeted treatments. Information on this profile in the northern macroregion of Peru is unknown. In addition, new therapies have appeared for a subgroup of patients. Main findings. In this study, the most frequent molecular subtypes were: luminal B, luminal A, triple negative and non-luminal HER2. Also, 18.3% of patients had low HER2 expression. Implications. Health policies should be aligned with scientific advances, to guarantee targeted therapies and to update the information in health manuals or protocols.
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Affiliation(s)
| | - Milagros Abad-Licham
- Instituto Regional de Enfermedades Neoplásicas del Norte. La Libertad, Perú
- Escuela de Medicina Humana, Universidad Privada Antenor Orrego. La Libertad, Perú
| | - Juan Astigueta
- Instituto Regional de Enfermedades Neoplásicas del Norte. La Libertad, Perú
- Escuela de Medicina Humana, Universidad Privada Antenor Orrego. La Libertad, Perú
| | - Joan Moreno
- Instituto Regional de Enfermedades Neoplásicas del Norte. La Libertad, Perú
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Nissar I, Alam S, Masood S, Kashif M. MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 248:108121. [PMID: 38531147 DOI: 10.1016/j.cmpb.2024.108121] [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: 08/23/2023] [Revised: 02/15/2024] [Accepted: 03/06/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND AND OBJECTIVE Deep Learning models have emerged as a significant tool in generating efficient solutions for complex problems including cancer detection, as they can analyze large amounts of data with high efficiency and performance. Recent medical studies highlight the significance of molecular subtype detection in breast cancer, aiding the development of personalized treatment plans as different subtypes of cancer respond better to different therapies. METHODS In this work, we propose a novel lightweight dual-channel attention-based deep learning model MOB-CBAM that utilizes the backbone of MobileNet-V3 architecture with a Convolutional Block Attention Module to make highly accurate and precise predictions about breast cancer. We used the CMMD mammogram dataset to evaluate the proposed model in our study. Nine distinct data subsets were created from the original dataset to perform coarse and fine-grained predictions, enabling it to identify masses, calcifications, benign, malignant tumors and molecular subtypes of cancer, including Luminal A, Luminal B, HER-2 Positive, and Triple Negative. The pipeline incorporates several image pre-processing techniques, including filtering, enhancement, and normalization, for enhancing the model's generalization ability. RESULTS While identifying benign versus malignant tumors, i.e., coarse-grained classification, the MOB-CBAM model produced exceptional results with 99 % accuracy, precision, recall, and F1-score values of 0.99 and MCC of 0.98. In terms of fine-grained classification, the MOB-CBAM model has proven to be highly efficient in accurately identifying mass with (benign/malignant) and calcification with (benign/malignant) classification tasks with an impressive accuracy rate of 98 %. We have also cross-validated the efficiency of the proposed MOB-CBAM deep learning architecture on two datasets: MIAS and CBIS-DDSM. On the MIAS dataset, an accuracy of 97 % was reported for the task of classifying benign, malignant, and normal images, while on the CBIS-DDSM dataset, an accuracy of 98 % was achieved for the classification of mass with either benign or malignant, and calcification with benign and malignant tumors. CONCLUSION This study presents lightweight MOB-CBAM, a novel deep learning framework, to address breast cancer diagnosis and subtype prediction. The model's innovative incorporation of the CBAM enhances precise predictions. The extensive evaluation of the CMMD dataset and cross-validation on other datasets affirm the model's efficacy.
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Affiliation(s)
- Iqra Nissar
- Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India.
| | - Shahzad Alam
- Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India
| | - Sarfaraz Masood
- Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India
| | - Mohammad Kashif
- Department of Computer Engineering, Jamia Millia Islamia (A Central University), New Delhi, 110025, India
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Acs B, Hartman J, Sönmez D, Lindman H, Johansson AL, Fredriksson I. Real-world overall survival and characteristics of patients with ER-zero and ER-low HER2-negative breast cancer treated as triple-negative breast cancer: a Swedish population-based cohort study. THE LANCET REGIONAL HEALTH. EUROPE 2024; 40:100886. [PMID: 38745990 PMCID: PMC11092884 DOI: 10.1016/j.lanepe.2024.100886] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/25/2024] [Accepted: 02/27/2024] [Indexed: 05/16/2024]
Abstract
Background Estrogen receptor-low (ER-low) HER2-negative breast cancer has similar pathological and molecular characteristics as triple-negative breast cancer (TNBC), and it is questionable whether it should be considered a separate entity. When the international guidelines lowered the cutoff for ER positivity to ≥1% in 2010, the ≥10% threshold was kept in Sweden. ER-low breast cancer (ER 1-9%) is thus in Sweden treated as TNBC. We aimed to describe patient and tumor characteristics, treatment patterns and overall survival in a Swedish population-based cohort of patients with ER-zero and ER-low HER2-negative breast cancer treated as TNBC. Methods All TNBC cases diagnosed in Sweden 2008-2020 were included in a population-based cohort study. Patient, tumor and treatment characteristics were analyzed by ER-status (ER 0% vs 1-9%), and associations between subgroups compared using χ2 test. Survival endpoint was overall survival (OS), and Kaplan-Meier curves were estimated. Cox proportional hazards models were used to estimate adjusted hazard ratios comparing ER-low to ER-zero. Findings Of the 5655 tumors, 90.1% had an ER expression of 0%, while 9.9% were ER-low. ER-low tumors were grade III in 69.4% (80.8% in ER-zero tumors, p-value = 0.001), with a median Ki67 of 60% (63% in ER-zero tumors, p-value = 0.005). There were no significant differences in given chemotherapy (p = 0.546). A pathological complete response (pCR) was achieved in 28.1% of ER-low tumors (25.1% in ER-zero tumors). In the unadjusted analysis of OS, women with ER-low disease had a borderline but not significantly better OS than those with ER-zero disease (HR 0.84 (95% CI 0.71-1.00), p = 0.052). ER-status 1-9% vs 0% was not associated with OS in the multivariable analysis (HR 1.11 (0.90-1.36)). Distant disease-free survival did not differ by ER-status 0% vs 1-9% (HR 0.97 for ER-zero vs ER-low (0.62-1.53), p = 0.905). After preoperative treatment, the impact of pCR for OS did not significantly differ between ER-zero or ER-low disease. Interpretation ER-low HER2-negative breast cancer has characteristics and prognosis similar to TNBC, when treated in the same way. Therefore, it seems reasonable to use a ≥10% threshold for ER positivity. This would provide patients with ER-low tumors the same treatment opportunities as patients with TNBC, within studies and within clinical routine. Funding This work was financially supported by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, in accordance with terms and conditions of a Master Collaboration Agreement between the company and Karolinska Institutet.
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Affiliation(s)
- Balazs Acs
- Dept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Dept of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Hartman
- Dept of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Dept of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Demet Sönmez
- Center for Observational and Real-World Evidence, MSD, Stockholm, Sweden
| | - Henrik Lindman
- Dept of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Dept of Oncology, Uppsala University Hospital, Uppsala, Sweden
| | - Anna L.V. Johansson
- Dept of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Irma Fredriksson
- Dept of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Dept of Breast-, Endocrine Tumors and Sarcoma, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden
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9
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Díaz Del Arco C, Fernández Aceñero MJ, Ortega Medina L. Molecular Classifications in Gastric Cancer: A Call for Interdisciplinary Collaboration. Int J Mol Sci 2024; 25:2649. [PMID: 38473896 DOI: 10.3390/ijms25052649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
Gastric cancer (GC) is a heterogeneous disease, often diagnosed at advanced stages, with a 5-year survival rate of approximately 20%. Despite notable technological advancements in cancer research over the past decades, their impact on GC management and outcomes has been limited. Numerous molecular alterations have been identified in GC, leading to various molecular classifications, such as those developed by The Cancer Genome Atlas (TCGA) and the Asian Cancer Research Group (ACRG). Other authors have proposed alternative perspectives, including immune, proteomic, or epigenetic-based classifications. However, molecular stratification has not yet transitioned into clinical practice for GC, and little attention has been paid to alternative molecular classifications. In this review, we explore diverse molecular classifications in GC from a practical point of view, emphasizing their relationships with clinicopathological factors, prognosis, and therapeutic approaches. We have focused on classifications beyond those of TCGA and the ACRG, which have been less extensively reviewed previously. Additionally, we discuss the challenges that must be overcome to ensure their impact on patient treatment and prognosis. This review aims to serve as a practical framework to understand the molecular landscape of GC, facilitate the development of consensus molecular categories, and guide the design of innovative molecular studies in the field.
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Affiliation(s)
- Cristina Díaz Del Arco
- Department of Legal Medicine, Psychiatry and Pathology, School of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
- Department of Pathology, Hospital Clínico San Carlos, Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - María Jesús Fernández Aceñero
- Department of Legal Medicine, Psychiatry and Pathology, School of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
- Department of Pathology, Hospital Clínico San Carlos, Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Luis Ortega Medina
- Department of Legal Medicine, Psychiatry and Pathology, School of Medicine, Complutense University of Madrid, 28040 Madrid, Spain
- Department of Pathology, Hospital Clínico San Carlos, Health Research Institute of the Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
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10
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Pandey M, Kumar T, Koshiol J. Editorial: Advances in molecular classification and targeting of solid tumors. Front Oncol 2024; 14:1373599. [PMID: 38414742 PMCID: PMC10896838 DOI: 10.3389/fonc.2024.1373599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 01/26/2024] [Indexed: 02/29/2024] Open
Affiliation(s)
- Manoj Pandey
- Department of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Tarun Kumar
- Department of Surgical Oncology, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Jill Koshiol
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), National Institutes of Health (NIH), Rockville, MD, United States
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Said SS, Ibrahim WN. Breaking Barriers: The Promise and Challenges of Immune Checkpoint Inhibitors in Triple-Negative Breast Cancer. Biomedicines 2024; 12:369. [PMID: 38397971 PMCID: PMC10886684 DOI: 10.3390/biomedicines12020369] [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: 12/04/2023] [Revised: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 02/25/2024] Open
Abstract
Triple-negative breast cancer (TNBC) is a highly aggressive malignancy with pronounced immunogenicity, exhibiting rapid proliferation and immune cell infiltration into the tumor microenvironment. TNBC's heterogeneity poses challenges to immunological treatments, inducing resistance mechanisms in the tumor microenvironment. Therapeutic modalities, including immune checkpoint inhibitors (ICIs) targeting PD-1, PD-L1, and CTLA-4, are explored in preclinical and clinical trials. Promising results emerge from combining ICIs with anti-TGF-β and VISTA, hindering TNBC tumor growth. TNBC cells employ complex evasion strategies involving interactions with stromal and immune cells, suppressing immune recognition through various cytokines, chemokines, and metabolites. The recent focus on unraveling humoral and cellular components aims to disrupt cancer crosstalk within the tumor microenvironment. This review identifies TNBC's latest resistance mechanisms, exploring potential targets for clinical trials to overcome immune checkpoint resistance and enhance patient survival rates.
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Affiliation(s)
| | - Wisam Nabeel Ibrahim
- Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar;
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12
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Abdullah AR, Gamal El-Din AM, El-Mahdy HA, Ismail Y, El-Husseiny AA. The crucial role of fascin-1 in the pathogenesis, metastasis, and chemotherapeutic resistance of breast cancer. Pathol Res Pract 2024; 254:155079. [PMID: 38219494 DOI: 10.1016/j.prp.2023.155079] [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: 10/20/2023] [Revised: 12/27/2023] [Accepted: 12/30/2023] [Indexed: 01/16/2024]
Abstract
Breast cancer (BC) is the most common type of cancer in women to be diagnosed, and it is also the second leading cause of cancer death in women globally. It is the disease that causes the most life years adjusted for disability lost among women, making it a serious worldwide health issue. Understanding and interpreting carcinogenesis and metastatic pathways is critical for curing malignancy. Fascin-1 was recognized as an actin-bundling protein with parallel, rigid bundles as a result of the cross-linking of F-actin microfilaments. Increasing levels of fascin-1 have been associated with bad prognostic profiles, aggressiveness of clinical courses, and poor survival outcomes in a variety of human malignancies. Cancer cells that overexpress fascin-1 have higher capabilities for proliferation, invasion, migration, and metastasis. Fascin-1 is being considered as a potential target for therapy as well as a potential biomarker for diagnostics in a variety of cancer types. This review aims to provide an overview of the FSCN1 gene and its protein structure, elucidate its physiological and pathological roles, and throw light on its involvement in the initiation, development, and chemotherapeutic resistance of BC.
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Affiliation(s)
- Ahmed R Abdullah
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt.
| | - Ayman M Gamal El-Din
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt
| | - Hesham A El-Mahdy
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt.
| | - Yahia Ismail
- Medical Oncology Department, National Cancer Institute (NCI), Cairo University, Cairo 11796, Egypt
| | - Ahmed A El-Husseiny
- Biochemistry and Molecular Biology Department, Faculty of Pharmacy (Boys), Al-Azhar University, Nasr City 11231, Cairo, Egypt; Department of Biochemistry, Faculty of Pharmacy, Egyptian Russian University, Badr City 11829, Cairo, Egypt.
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13
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Tufail M, Hu JJ, Liang J, He CY, Wan WD, Huang YQ, Jiang CH, Wu H, Li N. Predictive, preventive, and personalized medicine in breast cancer: targeting the PI3K pathway. J Transl Med 2024; 22:15. [PMID: 38172946 PMCID: PMC10765967 DOI: 10.1186/s12967-023-04841-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: 10/24/2023] [Accepted: 12/27/2023] [Indexed: 01/05/2024] Open
Abstract
Breast cancer (BC) is a multifaceted disease characterized by distinct molecular subtypes and varying responses to treatment. In BC, the phosphatidylinositol 3-kinase (PI3K) pathway has emerged as a crucial contributor to the development, advancement, and resistance to treatment. This review article explores the implications of the PI3K pathway in predictive, preventive, and personalized medicine for BC. It emphasizes the identification of predictive biomarkers, such as PIK3CA mutations, and the utility of molecular profiling in guiding treatment decisions. The review also discusses the potential of targeting the PI3K pathway for preventive strategies and the customization of therapy based on tumor stage, molecular subtypes, and genetic alterations. Overcoming resistance to PI3K inhibitors and exploring combination therapies are addressed as important considerations. While this field holds promise in improving patient outcomes, further research and clinical trials are needed to validate these approaches and translate them into clinical practice.
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Affiliation(s)
- Muhammad Tufail
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Jia-Ju Hu
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Liang
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Cai-Yun He
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Wen-Dong Wan
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Yu-Qi Huang
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Can-Hua Jiang
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Oral Precancerous Lesions, Central South University, Changsha, China
- Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hong Wu
- State Key Laboratory of Powder Metallurgy, Central South University, Changsha, 410083, China
| | - Ning Li
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China.
- Institute of Oral Precancerous Lesions, Central South University, Changsha, China.
- Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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14
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Naimo GD, Paolì A, Giordano F, Forestiero M, Panno ML, Andò S, Mauro L. Unraveling the Role of Adiponectin Receptors in Obesity-Related Breast Cancer. Int J Mol Sci 2023; 24:ijms24108907. [PMID: 37240258 DOI: 10.3390/ijms24108907] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/28/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Obesity has a noteworthy role in breast tumor initiation and progression. Among the mechanisms proposed, the most validated is the development of chronic low-grade inflammation, supported by immune cell infiltration along with dysfunction in adipose tissue biology, characterized by an imbalance in adipocytokines secretion and alteration of their receptors within the tumor microenvironment. Many of these receptors belong to the seven-transmembrane receptor family, which are involved in physiological features, such as immune responses and metabolism, as well as in the development and progression of several malignancies, including breast cancer. These receptors are classified as canonical (G protein-coupled receptors, GPCRs) and atypical receptors, which fail to interact and activate G proteins. Among the atypical receptors, adiponectin receptors (AdipoRs) mediate the effect of adiponectin, the most abundant adipocytes-derived hormone, on breast cancer cell proliferation, whose serum levels are reduced in obesity. The adiponectin/AdipoRs axis is becoming increasingly important regarding its role in breast tumorigenesis and as a therapeutic target for breast cancer treatment. The objectives of this review are as follows: to point out the structural and functional differences between GPCRs and AdipoRs, and to focus on the effect of AdipoRs activation in the development and progression of obesity-dependent breast cancer.
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Affiliation(s)
- Giuseppina Daniela Naimo
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Alessandro Paolì
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Francesca Giordano
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Martina Forestiero
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Maria Luisa Panno
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Sebastiano Andò
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
- Centro Sanitario, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
| | - Loredana Mauro
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Arcavacata di Rende, CS, Italy
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15
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Sun L, Tian H, Ge H, Tian J, Lin Y, Liang C, Liu T, Zhao Y. Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes. Front Oncol 2023; 13:1107850. [PMID: 36959806 PMCID: PMC10028183 DOI: 10.3389/fonc.2023.1107850] [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: 12/23/2022] [Accepted: 02/20/2023] [Indexed: 03/09/2023] Open
Abstract
Purpose The aim of this study is to improve the accuracy of classifying luminal or non-luminal subtypes of breast cancer by using computer algorithms based on DCE-MRI, and to validate the diagnostic efficacy of the model by considering the patient's age of menarche and nodule size. Methods DCE-MRI images of patients with non-specific invasive breast cancer admitted to the Second Affiliated Hospital of Dalian Medical University were collected. There were 160 cases in total, with 84 cases of luminal type (luminal A and luminal B and 76 cases of non-luminal type (HER 2 overexpressing and triple negative). Patients were grouped according to thresholds of nodule sizes of 20 mm and age at menarche of 14 years. A cross-attention multi-branch net CAMBNET) was proposed based on the dataset to predict the molecular subtypes of breast cancer. Diagnostic performance was assessed by accuracy, sensitivity, specificity, F1 and area under the ROC curve (AUC). And the model is visualized with Grad-CAM. Results Several classical deep learning models were included for diagnostic performance comparison. Using 5-fold cross-validation on the test dataset, all the results of CAMBNET are significantly higher than the compared deep learning models. The average prediction recall, accuracy, precision, and AUC for luminal and non-luminal types of the dataset were 89.11%, 88.44%, 88.52%, and 96.10%, respectively. For patients with tumor size <20 mm, the CAMBNET had AUC of 83.45% and ACC of 90.29% for detecting triple-negative breast cancer. When classifying luminal from non-luminal subtypes for patients with age at menarche years, our CAMBNET model achieved an ACC of 92.37%, precision of 92.42%, recall of 93.33%, F1of 92.33%, and AUC of 99.95%. Conclusions The CAMBNET can be applied in molecular subtype classification of breasts. For patients with menarche at 14 years old, our model can yield more accurate results when classifying luminal and non-luminal subtypes. For patients with tumor sizes ≤20 mm, our model can yield more accurate result in detecting triple-negative breast cancer to improve patient prognosis and survival.
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Affiliation(s)
- Liang Sun
- The College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Haowen Tian
- The College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Hongwei Ge
- The College of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Juan Tian
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yuxin Lin
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Chang Liang
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Tang Liu
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- *Correspondence: Tang Liu, ; Yiping Zhao,
| | - Yiping Zhao
- Department of Radiology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China
- *Correspondence: Tang Liu, ; Yiping Zhao,
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