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Zhou J, Xie T, Shan H, Cheng G. HLA-DQA1 expression is associated with prognosis and predictable with radiomics in breast cancer. Radiat Oncol 2023; 18:117. [PMID: 37434241 DOI: 10.1186/s13014-023-02314-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 07/05/2023] [Indexed: 07/13/2023] Open
Abstract
BACKGROUND High HLA-DQA1 expression is associated with a better prognosis in many cancers. However, the association between HLA-DQA1 expression and prognosis of breast cancer and the noninvasive assessment of HLA-DQA1 expression are still unclear. This study aimed to reveal the association and investigate the potential of radiomics to predict HLA-DQA1 expression in breast cancer. METHODS In this retrospective study, transcriptome sequencing data, medical imaging data, clinical and follow-up data were downloaded from the TCIA ( https://www.cancerimagingarchive.net/ ) and TCGA ( https://portal.gdc.cancer.gov/ ) databases. The clinical characteristic differences between the high HLA-DQA1 expression group (HHD group) and the low HLA-DQA1 expression group were explored. Gene set enrichment analysis, Kaplan‒Meier survival analysis and Cox regression were performed. Then, 107 dynamic contrast-enhanced magnetic resonance imaging features were extracted, including size, shape and texture. Using recursive feature elimination and gradient boosting machine, a radiomics model was established to predict HLA-DQA1 expression. Receiver operating characteristic (ROC) curves, precision-recall curves, calibration curves, and decision curves were used for model evaluation. RESULTS The HHD group had better survival outcomes. The differentially expressed genes in the HHD group were significantly enriched in oxidative phosphorylation (OXPHOS) and estrogen response early and late signalling pathways. The radiomic score (RS) output from the model was associated with HLA-DQA1 expression. The area under the ROC curves (95% CI), accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the radiomic model were 0.866 (0.775-0.956), 0.825, 0.939, 0.7, 0.775, and 0.913 in the training set and 0.780 (0.629-0.931), 0.659, 0.81, 0.5, 0.63, and 0.714 in the validation set, respectively, showing a good prediction effect. CONCLUSIONS High HLA-DQA1 expression is associated with a better prognosis in breast cancer. Quantitative radiomics as a noninvasive imaging biomarker has potential value for predicting HLA-DQA1 expression.
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Affiliation(s)
- JingYu Zhou
- Department of Radiology, Peking University Shenzhen Hospital, LianHua Road, Shenzhen, 518000, Guangdong, China
| | - TingTing Xie
- Department of Radiology, Peking University Shenzhen Hospital, LianHua Road, Shenzhen, 518000, Guangdong, China
| | - HuiMing Shan
- Department of Radiology, Peking University Shenzhen Hospital, LianHua Road, Shenzhen, 518000, Guangdong, China
| | - GuanXun Cheng
- Department of Radiology, Peking University Shenzhen Hospital, LianHua Road, Shenzhen, 518000, Guangdong, China.
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Ndongwe T, Witika BA, Mncwangi NP, Poka MS, Skosana PP, Demana PH, Summers B, Siwe-Noundou X. Iridoid Derivatives as Anticancer Agents: An Updated Review from 1970-2022. Cancers (Basel) 2023; 15:770. [PMID: 36765728 PMCID: PMC9913650 DOI: 10.3390/cancers15030770] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/28/2023] Open
Abstract
The rise of cancer cases has coincided with the urgent need for the development of potent chemical entities and/or modification of existing commodities to improve their efficacy. Increasing evidence suggests that cancer remains one of the leading causes of death globally, with colon cancer cases alone likely to rise exponentially by 2030. The exponential rise in cancer prevalence is largely attributable to the growing change toward a sedentary lifestyle and modern diets, which include genetically modified foods. At present, the prominent treatments for cancer are chemotherapy, surgery, and radiation. Despite slowing cancer progression, these treatments are known to have devastating side effects that may deteriorate the health of the patient, thus, have a low risk-benefit ratio. In addition, many cancer drugs have low bioavailability, thereby limiting their therapeutic effects in cancer patients. Moreover, the drastic rise in the resistance of neoplastic cells to chemotherapeutic agents is rendering the use of some drugs ineffective, thereby signaling the need for more anticancer chemical entities. As a result, the use of natural derivatives as anticancer agents is gaining considerable attention. Iridoids have the potential to form conjugates with other anticancer, antidiabetic, antileishmanial, and antimalarial drugs, which synergistically have the potential to increase their effects. Published studies have identified the role of iridoids, which, if fully explored, may result in cheaper and less toxic alternative/adjuvant cancer drugs. The subject of this article is natural and synthetic iridoid derivatives and their potential therapeutic roles as anticancer agents.
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Affiliation(s)
- Tanaka Ndongwe
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Bwalya A. Witika
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Nontobeko P. Mncwangi
- Department of Pharmacy Practice, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Madan S. Poka
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Phumzile P. Skosana
- Department of Clinical Pharmacy, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Patrick H. Demana
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Beverley Summers
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
| | - Xavier Siwe-Noundou
- Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, P.O. Box 218, Medunsa 0204, South Africa
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Chang Z, Zhang Y, Fan J, Zhang L, Liu S, Liu G, Tu J. The potential effects and mechanisms of breast inflammatory lesions on the occurrence and development of breast cancer. Front Oncol 2022; 12:932743. [PMID: 35992864 PMCID: PMC9389363 DOI: 10.3389/fonc.2022.932743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 06/30/2022] [Indexed: 12/24/2022] Open
Abstract
Breast cancer as the most common cancer in women has become the leading cause of cancer death for women. Although many inflammatory factors increase the risk of breast cancer, there are very few studies on the mechanisms by which inflammation affects the initiation and progression of breast cancer. Here, we profiled and compared the transcriptome of normal tissues, inflammatory breast tissues, benign breast tumors, and malignant breast tumors. To find key regulatory factors, a protein interaction network between characteristic modules in inflammatory lesions and ER-negative (ER−) breast cancer was constructed and inflammation-cancer interface genes were identified. We found that the transcriptional profile of inflammatory breast tissues was similar with ER− malignant tumors, featured with low ER expression levels and similar immune signaling pathway activation. Through comprehensive protein network analysis, we identified the interface genes and chemokine signaling pathway that have the potential to promote inflammatory cancer transformation. These interface genes could be used as a risk factor to provide a certain basis for the clinical early detection and treatment of breast cancer. This is the first study to explore the association between breast inflammatory lesions and breast cancer at the transcriptome level. Our inflammation data and research results provide a basis for future inflammation-cancer transformation analysis.
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Affiliation(s)
- Zhaoxia Chang
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, State Key Laboratory of Genetic Engineering, Cancer Institutes, Key Laboratory of Breast Cancer in Shanghai, The Shanghai Key Laboratory of Medical Epigenetics, Shanghai Key Laboratory of Radiation Oncology, The International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Zhang
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jue Fan
- Singleron Biotechnologies, Nanjing, China
| | - Lixing Zhang
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, State Key Laboratory of Genetic Engineering, Cancer Institutes, Key Laboratory of Breast Cancer in Shanghai, The Shanghai Key Laboratory of Medical Epigenetics, Shanghai Key Laboratory of Radiation Oncology, The International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Suling Liu
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, State Key Laboratory of Genetic Engineering, Cancer Institutes, Key Laboratory of Breast Cancer in Shanghai, The Shanghai Key Laboratory of Medical Epigenetics, Shanghai Key Laboratory of Radiation Oncology, The International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Juchuanli Tu, ; Guangyu Liu, ; Suling Liu,
| | - Guangyu Liu
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Juchuanli Tu, ; Guangyu Liu, ; Suling Liu,
| | - Juchuanli Tu
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, State Key Laboratory of Genetic Engineering, Cancer Institutes, Key Laboratory of Breast Cancer in Shanghai, The Shanghai Key Laboratory of Medical Epigenetics, Shanghai Key Laboratory of Radiation Oncology, The International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Juchuanli Tu, ; Guangyu Liu, ; Suling Liu,
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Al-Rashidi HE, Refaat S, Ahmed E, Hussein DT, Eltantawy FM, Hamed S. Involvement of INF-γ functional single nucleotide polymorphism +874 T/A (rs2430561) in breast cancer risk. Saudi J Biol Sci 2021; 28:6289-6296. [PMID: 34759748 PMCID: PMC8568710 DOI: 10.1016/j.sjbs.2021.06.083] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 06/27/2021] [Accepted: 06/27/2021] [Indexed: 02/07/2023] Open
Abstract
According Global Cancer Statistics 2020 GLOBOCAN estimates female breast cancer was found as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), and the fourth leading cause (6.9%) of cancer death among women worldwide. Identification of new diagnostic marker sharply characterize the tumor feature is intensive need. The present work was performed to investigate the involvement of the INF-γ + 874 T/A gene polymorphism in different breast cancer prognostic factors. Polymorphism detection analysis was performed on 163 subjects from breast cancer patients, 79 with inflamed cells of breast patients and 144 controls. The gene polymorphism was detected using the amplification refractory mutation system- polymerase chain reaction method (ARMS-PCR). The distribution of INF-γ T + 874A gene polymorphism shows strong significant association between INF-γ + 874 T/A genotypes TT in BC patients (ORTT: 6.41 [95% CI = 2.72-15.1] P < 0.0001) as well as strong significant association regarding T allele (ORT: 1.99 [95% CI = 1.43-2.76] P < 0.0001) when compared to the healthy control. In ICB group the strong association was noted with INF-γ + 874 T/A genotypes AT genotype (ORAT: 2.28 [95% CI = 1.22-4.29] P = 0.007). From the different histological BC hormonal markers the human epidermal growth factor receptor 2 (HER2) was showing significant association in INF-γ + 874 T/A genotypes TT (P = 0.03) and recessive model (TT versus AA + AT P = 0.03). Concerning different BC prognostic models, the poor prognostic one of luminal B, (ER+ve PR+ve Her2+ve) show significant association in the host INF-γ + 874 T/A genotype (TT, P = 0.03) and recessive model (TT versus AA + AT P = 0.02) when compared to the good prognostic hormonal status luminal A model, (ER+ve PR+ve Her2-ve). It seems that this is the first study that interested in correlate the INF-γ + 874 T/A gene polymorphisms in Egyptian BC patients. T allele, TT genotype and recessive model of the INF-γ + 874 T/A gene variants were documented as risk factors for BC pathogenesis. It may be used as practical biomarker to guide the BC carcinogenesis and risk process.
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Key Words
- ARMS-PCR, amplification refractory mutation system, polymerase chain reaction method
- BC, Breast cancer
- Breast cancer
- C, controls
- CD, cluster of differentiation
- CI, 95% confidence intervals
- ER, estrogen receptor
- GPI, good prognostic index
- Genotypes
- HER2, human epidermal growth factor receptor 2
- ICB, inflamed cells of breast
- IL, interleukin
- INF-γ
- INF-γ, Interferon-γ
- IRB, Institutional Review Board
- ISGs, INF-stimulated genes
- MPI, moderate prognostic index
- NK, natural killer cells
- NPI, the mandatory prognostic index
- OR, odds ratio
- PAM50, Prediction Analysis of Microarray 50
- PPI, poor prognostic index
- PR, progesterone receptor
- Polymorphism
- Risk factor
- SNPs, single nucleotide polymorphism
- TGF-β, transforming growth factor-β
- TNBC, Triple Negative BC
- TNF-α, tumor necrosis factor-α
- Th1, T helper1
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Affiliation(s)
- Hanan E Al-Rashidi
- Medical Laboratory Technology Department, College of Applied Medical Science, Taibah University, Madinah, Saudi Arabia
| | | | - Enas Ahmed
- Emergency Hospital, Mansoura University, Egypt
| | | | | | - Sahar Hamed
- Urology and Nephrology Center, Mansoura University, Egypt
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