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Sun DERS, Yoon JS, Kim YS, Won HS. P53 Status Influences the Anti-proliferative Effect Induced by IFITM1 Inhibition in Estrogen Receptor-positive Breast Cancer Cells. Cancer Genomics Proteomics 2024; 21:511-522. [PMID: 39191497 PMCID: PMC11363922 DOI: 10.21873/cgp.20468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/20/2024] [Accepted: 07/03/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND/AIM Interferon-induced trans-membrane protein 1 (IFITM1) is known to be involved in breast cancer progression. We aimed to investigate its role in estrogen receptor (ER)-positive breast cancer cells with wild-type p53 and tamoxifen-resistant breast cancer cells. MATERIALS AND METHODS The ER-positive breast cancer cell lines, MCF-7 with wild-type p53 and T47D with mutant p53, were used. We established an MCF-7-derived tamoxifen-resistant cell line (TamR) by long-term culture of MCF-7 cells with 4-hydroxytamoxifen. RESULTS IFITM1 inhibition in MCF-7 cells significantly decreased cell growth and migration. MCF-7 cells with suppression of IFITM1 using siRNA or ruxolitinib showed reduced cell viability after tamoxifen treatment compared with that in the control MCF-7 cells. Unexpectedly, mRNA and protein levels of IFITM1 were decreased in TamR cells compared with those in MCF-7 cells. TamR cells with suppression of IFITM1 using siRNA or ruxolitinib showed no change in cell viability after treatment with tamoxifen. P53 knockdown using siRNA reduced the mRNA levels of IRF9 and increased mRNA and protein levels of SOCS3 in MCF-7 cells, suggesting that loss or mutation of p53 can affect the induction of IFITM1 via the JAK/STAT signaling pathway in breast cancer. Furthermore, MCF-7 cells with p53 knockdown using siRNA showed no decrease in cell viability after tamoxifen treatment or IFITM1 inhibition, indicating that p53 status may be important for cell death after tamoxifen treatment or IFITM1 inhibition. CONCLUSION IFITM1 inhibition may enhance the sensitivity to tamoxifen based on p53-dependent enhancement of IFN signaling in wild-type p53, ER-positive breast cancer cells.
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Affiliation(s)
- DER Sheng Sun
- Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jung-Sook Yoon
- Clinical Research Laboratory, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong-Seok Kim
- Department of Surgery, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hye Sung Won
- Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea;
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Kalsoom A, Altaf A, Sattar H, Maqbool T, Sajjad M, Jilani MI, Shabbir G, Aftab S. Gene expression and anticancer evaluation of Kigelia africana (Lam.) Benth. Extracts using MDA-MB-231 and MCF-7 cell lines. PLoS One 2024; 19:e0303134. [PMID: 38837975 DOI: 10.1371/journal.pone.0303134] [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: 01/05/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
In recent years, a cancer research trend has shifted towards identifying novel therapeutic compounds from natural assets for the management of cancer. In this study, we aimed to assess the cytotoxic activity of Kigelia Africana (KA) extracts on breast cancer (MDA-MB-231 and MCF-7) and noncancerous kidney cells (HEK-293T) to develop an efficient anticancer medication. We used gas chromatography mass spectrometry (GC-MS to analyze the constituents of EKA and HKA extracts meanwhile the crystal violet and the MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide) assays were used to examine the possible cytotoxic effects of plant extracts on our cancer cell lines along with non-cancerous control. The quantitative real-time PCR (RT-PCR) was run on cell samples to evaluate the differential expression of cell proliferative markers of cancer (BCL-2 and TP53). These phytochemicals have been reported to have binding affinity for some other growth factors and receptors as well which was evaluated by the in-silico molecular docking against Bcl2, EGFR, HER2, and TP53. Our Morphological observation showed a significant difference in the cell morphology and proliferation potential which was decreased under the effect of plant extracts treatment as compared to the control samples. The ethanol extract exhibited a marked antiproliferative activity towards MDA-MB-231 and MCF-7 cell lines with IC50 = 20 and 32 μg/mL, respectively. Quantitative RT-PCR gene expression investigation revealed that the IC50 concentration of ethanolic extract regulated the levels of mRNA expression of apoptotic genes. With the target and active binding site amino acids discovered in the molecular docking investigation, TP53/Propanoic acid, 3-(2, 3, 6-trimethyl-1, 4-dioxaspiro [4.4] non-7-yl)-, methyl ester (-7.1 kcal/mol) is the best-docked ligand. The use of this plant in folk remedies justifies its high in vitro anti-cancer capabilities. This work highlights the role of phytochemicals in the inhibition of cancer proliferation. Based on all these findings, it can be concluded that EKA extract has promising anti-proliferative effect on cancerous cells but more study is required in future to further narrow down the active ingredients of total crude extract with specific targets in cancer cells.
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Affiliation(s)
- Aasia Kalsoom
- Institute of Molecular Biology (IMBB), Center for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan
| | - Awais Altaf
- Institute of Molecular Biology (IMBB), Center for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan
| | - Huma Sattar
- Institute of Molecular Biology (IMBB), Center for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan
| | - Tahir Maqbool
- Institute of Molecular Biology (IMBB), Center for Research in Molecular Medicine (CRiMM), The University of Lahore, Lahore, Pakistan
| | - Muhammad Sajjad
- School of Biological Sciences, Punjab University, Lahore, Pakistan
| | | | - Ghulam Shabbir
- Pakistan Council of Scientific and Industrial Research (PCSIR), Islamabad, Pakistan
| | - Saira Aftab
- Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
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Hurson AN, Ahearn TU, Koka H, Jenkins BD, Harris AR, Roberts S, Fan S, Franklin J, Butera G, Keeman R, Jung AY, Middha P, Gierach GL, Yang XR, Chang-Claude J, Tamimi RM, Troester MA, Bandera EV, Abubakar M, Schmidt MK, Garcia-Closas M. Risk factors for breast cancer subtypes by race and ethnicity: A scoping review of the literature. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.18.24304210. [PMID: 39108508 PMCID: PMC11302715 DOI: 10.1101/2024.03.18.24304210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Background Breast cancer is comprised of distinct molecular subtypes. Studies have reported differences in risk factor associations with breast cancer subtypes, especially by tumor estrogen receptor (ER) status, but their consistency across racial and ethnic populations has not been comprehensively evaluated. Methods We conducted a qualitative, scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis, extension for Scoping Reviews to investigate consistencies in associations between 18 breast cancer risk factors (reproductive, anthropometric, lifestyle, and medical history) and risk of ER-defined subtypes in women who self-identify as Asian, Black or African American, Hispanic or Latina, or White. We reviewed publications between January 1, 1990 and July 1, 2022. Etiologic heterogeneity evidence (convincing, suggestive, none, or inconclusive) was determined by expert consensus. Results Publications per risk factor ranged from 14 (benign breast disease history) to 66 (parity). Publications were most abundant for White women, followed by Asian, Black or African American, and Hispanic or Latina women. Etiologic heterogeneity evidence was strongest for parity, followed by age at first birth, post-menopausal BMI, oral contraceptive use, and estrogen-only and combined menopausal hormone therapy. Evidence was limited for other risk factors. Findings were consistent across racial and ethnic groups, although the strength of evidence varied. Conclusion The literature supports etiologic heterogeneity by ER for some established risk factors that are consistent across race and ethnicity groups. However, in non-White populations evidence is limited. Larger, more comparable data in diverse populations is needed to better characterize breast cancer etiologic heterogeneity.
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Affiliation(s)
- Amber N Hurson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Thomas U Ahearn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brittany D Jenkins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Alexandra R Harris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Sylvia Roberts
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Sharon Fan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jamirra Franklin
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Gisela Butera
- National Institutes of Health Library, Office of Research Services, National Institutes of Health, Bethesda, MD, USA
| | - Renske Keeman
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Audrey Y Jung
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Pooja Middha
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Gretchen L Gierach
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rulla M Tamimi
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Elisa V Bandera
- Section of Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Marjanka K Schmidt
- Division of Molecular Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
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Jin Y, Lan A, Dai Y, Jiang L, Liu S. Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy. Eur J Med Res 2023; 28:394. [PMID: 37777809 PMCID: PMC10543332 DOI: 10.1186/s40001-023-01361-7] [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: 04/18/2023] [Accepted: 09/11/2023] [Indexed: 10/02/2023] Open
Abstract
BACKGROUND Breast cancer (BC) is the most common malignant tumor around the world. Timely detection of the tumor progression after treatment could improve the survival outcome of patients. This study aimed to develop machine learning models to predict events (defined as either (1) the first tumor relapse locally, regionally, or distantly; (2) a diagnosis of secondary malignant tumor; or (3) death because of any reason.) in BC patients post-treatment. METHODS The patients with the response of stable disease (SD) and progressive disease (PD) after neoadjuvant chemotherapy (NAC) were selected. The clinicopathological features and the survival data were recorded in 1 year and 5 years, respectively. Patients were randomly divided into the training set and test set in the ratio of 8:2. A random forest (RF) and a logistic regression were established in both of 1-year cohort and the 5-year cohort. The performance was compared between the two models. The models were validated using data from the Surveillance, Epidemiology, and End Results (SEER) database. RESULTS A total of 315 patients were included. In the 1-year cohort, 197 patients were divided into a training set while 87 were into a test set. The specificity, sensitivity, and AUC were 0.800, 0.833, and 0.810 in the RF model. And 0.520, 0.833, and 0.653 of the logistic regression. In the 5-year cohort, 132 patients were divided into the training set while 33 were into the test set. The specificity, sensitivity, and AUC were 0.882, 0.750, and 0.829 in the RF model. And 0.882, 0.688, and 0.752 of the logistic regression. In the external validation set, of the RF model, the specificity, sensitivity, and AUC were 0.765, 0.812, and 0.779. Of the logistics regression model, the specificity, sensitivity, and AUC were 0.833, 0.376, and 0.619. CONCLUSION The RF model has a good performance in predicting events among BC patients with SD and PD post-NAC. It may be beneficial to BC patients, assisting in detecting tumor recurrence.
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Affiliation(s)
- Yudi Jin
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
- Department of Pathology, Chongqing Key Laboratory for Intelligent Oncology in Breast Cancer (iCQBC), Chongqing University Cancer Hospital, Chongqing, 400030, China
| | - Ailin Lan
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuran Dai
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Linshan Jiang
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Shengchun Liu
- Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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Khan Y, Khan NU, Ali I, Khan S, Khan AU, Iqbal A, Adams BD. Significant association of BRCA1 (rs1799950), BRCA2 (rs144848) and TP53 (rs1042522) polymorphism with breast cancer risk in Pashtun population of Khyber Pakhtunkhwa, Pakistan. Mol Biol Rep 2023:10.1007/s11033-023-08463-9. [PMID: 37300745 DOI: 10.1007/s11033-023-08463-9] [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: 02/25/2023] [Accepted: 04/14/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Single nucleotide polymorphism (SNPs) in BRCA1, BRCA2 and TP53 has been widely associated with breast cancer risk in different ethnicities with inconsistent results. There is no such study conducted so far in the Pashtun population of Khyber Pakhtunkhwa, Pakistan. Therefore, this study was conducted to check BRCA1 (rs1799950), BRCA2 (rs144848) and TP53 (rs1042522) polymorphism with breast cancer risk in Pashtun population of Khyber Pakhtunkhwa, Pakistan. METHODS This study, consisting 140 breast cancer patients and 80 gender and age matched healthy controls were subjected to confirm BRCA1, BRCA2 and TP53 polymorphism. Clinicopathological data and blood samples were taken from all the participants. DNA was extracted and SNPs were confirmed using T-ARMS-PCR protocol. RESULTS Our data indicated that BRCA1, BRCA2, and TP53 selected SNPs risk allele and risk allele containing genotypes displayed significant association (p < 0.05) with breast cancer risk in the Pashtun population of Khyber Pakhtunkhwa, Pakistan. CONCLUSION All the three selected SNPs of BRCA1, BRCA2 and TP53 showed significant association with breast cancer risk in the Pashtun population of Khyber Pakhtunkhwa, Pakistan. However, more investigation will be required on large data sets to confirm the selected SNPs and other SNPs in the selected and other related genes with the risk of breast cancer.
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Affiliation(s)
- Yumna Khan
- Institute of Biotechnology and Genetic Engineering (Health Division), The University of Agriculture, Peshawar, Pakistan
| | - Najeeb Ullah Khan
- Institute of Biotechnology and Genetic Engineering (Health Division), The University of Agriculture, Peshawar, Pakistan.
| | - Ijaz Ali
- Centre for Applied Mathematics and Bioinformatics (CAMB), Gulf University for Science and Technology, Hawally, Kuwait
| | - Samiullah Khan
- Institute of Radiotherapy and Nuclear Medicine (IRNUM), Peshawar, Pakistan
| | - Aakif Ullah Khan
- Institute of Radiotherapy and Nuclear Medicine (IRNUM), Peshawar, Pakistan
| | - Aqib Iqbal
- Institute of Biotechnology and Genetic Engineering (Health Division), The University of Agriculture, Peshawar, Pakistan
| | - Brian D Adams
- Department of RNA Science, The Brain Institute of America, New Haven, CT, USA.
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Halim F, Azhar Y, Suwarman S, Wahjoepramono EJ, Hernowo B. Positive p53 Expression Is Associated with Primary Endocrine Therapy Resistance in Locally Advanced Stage Luminal B HER2-Negative Breast Cancer Patients: A Cross-Sectional Study in Indonesia. Diagnostics (Basel) 2023; 13:diagnostics13111838. [PMID: 37296690 DOI: 10.3390/diagnostics13111838] [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: 04/13/2023] [Revised: 05/09/2023] [Accepted: 05/20/2023] [Indexed: 06/12/2023] Open
Abstract
Luminal B HER2-negative breast cancer (BC) is the most common type in Indonesian BC patients, and frequently manifests with locally advanced staging. Recurrence often occurs within two years of the endocrine therapy course (primary endocrine therapy (ET) resistance). p53 mutation often exists in luminal B HER2-negative BC, but its application as an ET resistance predictor in those populations is still limited. The primary purpose of this research is to evaluate p53 expression and its association with primary ET resistance in luminal B HER2-negative BC. This cross-sectional study compiled 67 luminal B HER2-negative patients' clinical data during their pre-treatment period until they completed a two-year course of endocrine therapy. They were divided into two groups: 29 patients with primary ET resistance and 38 without primary ET resistance. Pre-treatment paraffin blocks from each patient were retrieved, and the p53 expression difference between the two groups was analyzed. Positive p53 expression was significantly higher in patients with primary ET resistance [odds ratio (OR) of 11.78 (95% CI: 3.72-37.37, p-value < 0.0001)]. We conclude that p53 expression could be a beneficial marker for primary ET resistance in locally advanced luminal B HER2-negative BC.
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Affiliation(s)
- Freda Halim
- Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia
- Department of Surgery, Faculty of Medicine, Pelita Harapan University, Tangerang 15811, Banten, Indonesia
| | - Yohana Azhar
- Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia
- Department of Surgery, Oncology, Head and Neck Division, Hasan Sadikin Hospital, Bandung 40161, West Java, Indonesia
| | - Suwarman Suwarman
- Department of Anesthesiology and Intensive Care, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia
| | - Eka Julianta Wahjoepramono
- Department of Neurosurgery, Faculty of Medicine, Pelita Harapan University, Tangerang 15811, Banten, Indonesia
| | - Bethy Hernowo
- Department of Anatomical Pathology, Universitas Padjadjaran, Bandung 40161, West Java, Indonesia
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Abubakar M, Ahearn TU, Duggan MA, Lawrence S, Adjei E, Clegg-Lamptey JN, Yarney J, Wiafe-Addai B, Awuah B, Wiafe S, Nyarko K, Aitpillah F, Ansong D, Hewitt SM, Brinton LA, Figueroa JD, Garcia-Closas M, Edusei L, Titiloye N. Associations of breast cancer etiologic factors with stromal microenvironment of primary invasive breast cancers in the Ghana Breast Health Study. RESEARCH SQUARE 2023:rs.3.rs-2791342. [PMID: 37090574 PMCID: PMC10120782 DOI: 10.21203/rs.3.rs-2791342/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Background Emerging data suggest that beyond the neoplastic parenchyma, the stromal microenvironment (SME) impacts tumor biology, including aggressiveness, metastatic potential, and response to treatment. However, the epidemiological determinants of SME biology remain poorly understood, more so among women of African ancestry who are disproportionately affected by aggressive breast cancer phenotypes. Methods Within the Ghana Breast Health Study, a population-based case-control study in Ghana, we applied high-accuracy machine-learning algorithms to characterize biologically-relevant SME phenotypes, including tumor-stroma ratio (TSR (%); a metric of connective tissue stroma to tumor ratio) and tumor-associated stromal cellular density (Ta-SCD (%); a tissue biomarker that is reminiscent of chronic inflammation and wound repair response in breast cancer), on digitized H&E-stained sections from 792 breast cancer patients aged 17-84 years. Kruskal-Wallis tests and multivariable linear regression models were used to test associations between established breast cancer risk factors, tumor characteristics, and SME phenotypes. Results Decreasing TSR and increasing Ta-SCD were strongly associated with aggressive, mostly high grade tumors (p-value < 0.001). Several etiologic factors were associated with Ta-SCD, but not TSR. Compared with nulliparous women [mean (standard deviation) = 28.9% (7.1%)], parous women [mean (standard deviation) = 31.3% (7.6%)] had statistically significantly higher levels of Ta-SCD (p-value = 0.01). Similarly, women with a positive family history of breast cancer [FHBC; mean (standard deviation) = 33.0% (7.5%)] had higher levels of Ta-SCD than those with no FHBC [mean (standard deviation) = 30.9% (7.6%); p-value = 0.01]. Conversely, increasing body size was associated with decreasing Ta-SCD [mean (standard deviation) = 32.0% (7.4%), 31.3% (7.3%), and 29.0% (8.0%) for slight, moderate, and large body sizes, respectively, p-value = 0.005]. These associations persisted and remained statistically significantly associated with Ta-SCD in mutually-adjusted multivariable linear regression models (p-value < 0.05). With the exception of body size, which was differentially associated with Ta-SCD by grade levels (p-heterogeneity = 0.04), associations between risk factors and Ta-SCD were not modified by tumor characteristics. Conclusions Our findings raise the possibility that epidemiological factors may act via the SME to impact both risk and biology of breast cancers in this population, underscoring the need for more population-based research into the role of SME in multi-state breast carcinogenesis.
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Ahmed S, Safwat G, Moneer MM, El Ghareeb A, El Sherif AA, Loutfy SA. Prevalence of TP53 gene Pro72Arg (rs1042522) single nucleotide polymorphism among Egyptian breast cancer patients. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2023. [DOI: 10.1186/s43042-023-00405-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Abstract
Background
The P53 protein has an essential role in several cellular processes, including DNA repair, apoptosis, and cell cycle arrest. The pathophysiology of many cancer types has frequently been linked to polymorphisms in the TP53 locus. Over 200 single nucleotide polymorphisms (SNPs) have been identified in TP53. However, Pro72Arg (rs1042522) at codon 72, shows contradictory results in terms of cancer risk. In this study, we aimed to determine if the Pro72Arg (rs1042522) SNP in the TP53 gene would be linked to breast cancer (BC) risk among Egyptian patients.
Materials and Methods
Genomic DNA was extracted from blood samples of 100 healthy volunteers and 100 breast cancer patients (50 familial and 50 non-familial). TP53 Genotyping was performed using tetra-primer amplification refractory mutation (Tetra-ARMS) PCR. Data were analyzed using SNPstat software.
Results
The prevalence of TP53 (Pro72Arg) rs1042522 genotypes carrying the high-risk allele [Pro/Arg (CG) and Arg/Arg (GG)] were significantly higher in BC patients compared to healthy volunteers and were associated with BC susceptibility (OR 0.2; [95% CI 0.11–0.38]; P = 0.0001). However, there was no statistical significant difference in the prevalence of TP53 (Pro72Arg) rs1042522 genotypes carrying the high-risk allele between familial and non-familial BC patients. In addition, there was no association between the prevalence of TP53 (Pro72Arg) rs1042522 genotypes carrying the high-risk allele and BC patients’ clinical and pathological characteristics including tumor size, tumor grade, lymph node status, presence of lymphovascular invasion, expression of ER, PR and Her-2 in both of familial and non-familial BC patients.
Conclusions
TP53 (Pro72Arg) rs1042522 is more prevalent among BC patients but not associated with disease progression.
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Canine mammary carcinoma: current therapeutic targets and future perspectives – a review. ANNALS OF ANIMAL SCIENCE 2023. [DOI: 10.2478/aoas-2022-0085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Abstract
Canine mammary carcinoma (CMC) is the most common neoplasm in bitches, and it shares many biological similarities with breast cancer in humans. Drug resistance, high epigenetic mutations, and relapse rates are among the challenges which eventually urge the need for a veterinary oncologist to discover new therapeutic approaches that are more effective and safer. Therefore, in this review, we also cover the current therapeutic strategies from human medicine for the future perspectives of tumor immunotherapy in veterinary medicine. These strategies have great potential to be employed as therapeutic or prophylactic options due to their ability to modulate a specific and potent immune response against CMC. As we acquire a better understanding of canine tumor immunology, we can move towards a brighter prognosis. Additionally, we report on the recent successful studies in breast cancer that may benefit canines as well.
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Roberts E, Howell S, Evans DG. Polygenic risk scores and breast cancer risk prediction. Breast 2023; 67:71-77. [PMID: 36646003 PMCID: PMC9982311 DOI: 10.1016/j.breast.2023.01.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/09/2023] [Indexed: 01/11/2023] Open
Abstract
Polygenic Risk Scores (PRS) are a major component of accurate breast cancer risk prediction and have the potential to improve screening and prevention strategies. PRS combine the risk from Single nucleotide polymorphisms (SNPs) associated with breast cancer in Genome Wide Association Studies (GWAS) and explain over 30% of breast cancer heritability. When incorporated into risk models, the more personalised risk assessment derived from PRS, help identify women at higher risk of breast cancer development and enables the implementation of stratified screening and prevention approaches. This review describes the role of PRS in breast cancer risk prediction including the development of PRS and their clinical application. We have also examined the role of PRS within more well-established risk prediction models which incorporate known classic risk factors and discuss the interaction of PRS with these factors and their capacity to predict breast cancer subtypes. Before PRS can be implemented on a population-wide scale, there are several challenges that must be addressed. Perhaps the most pressing of these is the use of PRS in women of non-White European origin, where PRS have been shown to have attenuated risk prediction both in discrimination and calibration. We discuss progress in developing and applying PRS in non-white European populations. PRS represent a significant advance in breast cancer risk prediction and their further development will undoubtedly enhance personalisation.
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Affiliation(s)
- Eleanor Roberts
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Sacha Howell
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; Nightingale/Prevent Breast Cancer Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK; Manchester Breast Centre, Manchester Cancer Research Centre, The Christie Hospital, Manchester, UK
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK; Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK; Nightingale/Prevent Breast Cancer Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Manchester, UK; Manchester Breast Centre, Manchester Cancer Research Centre, The Christie Hospital, Manchester, UK.
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Kim J, Jeong K, Jun H, Kim K, Bae JM, Song MG, Yi H, Park S, Woo GU, Lee DW, Kim TY, Lee KH, Im SA. Mutations of TP53 and genes related to homologous recombination repair in breast cancer with germline BRCA1/2 mutations. Hum Genomics 2023; 17:2. [PMID: 36604691 PMCID: PMC9817339 DOI: 10.1186/s40246-022-00447-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 12/19/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Germline mutations of breast cancer susceptibility gene BRCA1 and BRCA2 (gBRCA1/2) are associated with elevated risk of breast cancer in young women in Asia. BRCA1 and BRCA2 proteins contribute to genomic stability through homologous recombination (HR)-mediated double-strand DNA break repair in cooperation with other HR-related proteins. In this study, we analyzed the targeted sequencing data of Korean breast cancer patients with gBRCA1/2 mutations to investigate the alterations in HR-related genes and their clinical implications. MATERIALS AND METHODS Data of the breast cancer patients with pathogenic gBRCA1/2 mutations and qualified targeted next-generation sequencing, SNUH FiRST cancer panel, were analyzed. Single nucleotide polymorphisms, small insertions, and deletions were analyzed with functional annotations using ANNOVAR. HR-related genes were defined as ABL1, ATM, ATR, BARD1, BRCA1, BRCA2, CDKN1A, CDKN2A, CHEK1, CHEK2, FANCA, FANCD2, FANCG, FANCI, FANCL, KDR, MUTYH, PALB2, POLE, POLQ, RAD50, RAD51, RAD51D, RAD54L, and TP53. Mismatch-repair genes were MLH1, MSH2, and MSH6. Clinical data were analyzed with cox proportional hazard models and survival analyses. RESULTS Fifty-five Korean breast cancer patients with known gBRCA1/2 mutations and qualified targeted NGS data were analyzed. Ethnically distinct mutations in gBRCA1/2 genes were noted, with higher frequencies of Val1833Ser (14.8%), Glu1210Arg (11.1%), and Tyr130Ter (11.1%) in gBRCA1 and Arg2494Ter (25.0%) and Lys467Ter (14.3%) in gBRCA2. Considering subtypes, gBRCA1 mutations were associated with triple-negative breast cancers (TNBC), while gBRCA2 mutations were more likely hormone receptor-positive breast cancers. At least one missense mutation of HR-related genes was observed in 44 cases (80.0%). The most frequently co-mutated gene was TP53 (38.1%). In patients with gBRCA1/2 mutations, however, genetic variations of TP53 occurred in locations different from the known hotspots of those with sporadic breast cancers. The patients with both gBRCA1/2 and TP53 mutations were more likely to have TNBC, high Ki-67 values, and increased genetic mutations, especially of HR-related genes. Survival benefit was observed in the TP53 mutants of patients with gBRCA2 mutations, compared to those with TP53 wild types. CONCLUSION Our study showed genetic heterogeneity of breast cancer patients with gBRCA1 and gBRCA2 mutations in the Korean populations. Further studies on precision medicine are needed for tailored treatments of patients with genetic diversity among different ethnic groups.
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Affiliation(s)
- Jinyong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Kyeonghun Jeong
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, Republic of Korea
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyeji Jun
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jeong Mo Bae
- Department of Pathology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Myung Geun Song
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hanbaek Yi
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Songyi Park
- Division of Hematology/Oncology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Go-Un Woo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Dae-Won Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Tae-Yong Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Kyung-Hun Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea.
| | - Seock-Ah Im
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea.
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Halim F, Azhar Y, Suwarman S, Hernowo B. p53 Mutation as Plausible Predictor for Endocrine Resistance Therapy in Luminal Breast Cancer. F1000Res 2022; 11:330. [PMID: 36519010 PMCID: PMC9718986 DOI: 10.12688/f1000research.108628.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/11/2022] [Indexed: 12/05/2022] Open
Abstract
Endocrine therapy resistance in Luminal Breast Cancer is a significant issue to be tackled, but currently, no specific biomarker could be used to anticipate this event. p53 mutation is widely known as one of Breast Cancer's most prominent genetic alterations. Its mutation could generate various effects in Estrogen Receptor and Progesterone Receptor molecular works, tangled in events leading to the aggravation of endocrine therapy resistance. Hence the possibility of p53 mutation utilization as an endocrine therapy resistance predictive biomarker is plausible. The purpose of this review is to explore the latest knowledge of p53 role in Estrogen Receptor and Progesterone Receptor molecular actions, thus aggravating the Endocrine Therapy resistance in Luminal Breast Cancer, from which we could define possibilities and limitations to utilize p53 as the predictive biomarker of endocrine therapy resistance in Luminal Breast Cancer.
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Affiliation(s)
- Freda Halim
- Department of Surgery, Pelita Harapan University, Tangerang, Indonesia,
| | - Yohana Azhar
- Department of Surgery - Oncology, Head and Neck Division, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Suwarman Suwarman
- Department of Anesthesiology and Intensive Care, Hasan Sadikin General Hospital, Universitas Padjajaran, Bandung, Indonesia
| | - Bethy Hernowo
- Department of Anatomical Pathology, Universitas Padjajaran, Bandung, West Java, Indonesia
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13
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Endocrine resistance and breast cancer plasticity are controlled by CoREST. Nat Struct Mol Biol 2022; 29:1122-1135. [PMID: 36344844 PMCID: PMC9707522 DOI: 10.1038/s41594-022-00856-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 09/29/2022] [Indexed: 11/09/2022]
Abstract
Resistance to cancer treatment remains a major clinical hurdle. Here, we demonstrate that the CoREST complex is a key determinant of endocrine resistance and ER+ breast cancer plasticity. In endocrine-sensitive cells, CoREST is recruited to regulatory regions co-bound to ERα and FOXA1 to regulate the estrogen pathway. In contrast, during temporal reprogramming towards a resistant state, CoREST is recruited to AP-1 sites. In reprogrammed cells, CoREST favors chromatin opening, cJUN binding to chromatin, and gene activation by controlling SWI/SNF recruitment independently of the demethylase activity of the CoREST subunit LSD1. Genetic and pharmacological CoREST inhibition reduces tumorigenesis and metastasis of endocrine-sensitive and endocrine-resistant xenograft models. Consistently, CoREST controls a gene signature involved in invasiveness in clinical breast tumors resistant to endocrine therapies. Our studies reveal CoREST functions that are co-opted to drive cellular plasticity and resistance to endocrine therapies and tumorigenesis, thus establishing CoREST as a potential therapeutic target for the treatment of advanced breast cancer.
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14
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Chow CY, Lie EF, Wu CH, Chow LW. Clinical implication of genetic composition and molecular mechanism on treatment strategies of HER2-positive breast cancers. Front Oncol 2022; 12:964824. [PMID: 36387174 PMCID: PMC9659858 DOI: 10.3389/fonc.2022.964824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 10/14/2022] [Indexed: 12/01/2022] Open
Abstract
The current clinical management model of HER2-positive breast cancers is commonly based on guidelines, which in turn are based on the design and outcome of clinical trials. While this model is useful to most practicing clinicians, the treatment outcome of individual patient is not certain at the start of treatment. As the understanding of the translational research of carcinogenesis and the related changes in cancer genetics and tumor microenvironment during treatment is critical in the selection of right choice of treatment to maximize the successful clinical outcome for the patient, this review article intends to discuss the latest developments in the genetic and molecular mechanisms of cancer progression and treatment resistance, and how they influence the planning of the treatment strategies of HER2-positive breast cancers.
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Affiliation(s)
- Christopher Y.C. Chow
- UNIMED Medical Institute, Hong Kong, Hong Kong SAR, China
- Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan
| | | | - Cheng-Hsun Wu
- Department of Anatomy, China Medical University, Taichung, Taiwan
| | - Louis W.C. Chow
- UNIMED Medical Institute, Hong Kong, Hong Kong SAR, China
- Organisation for Oncology and Translational Research, Hong Kong, Hong Kong SAR, China
- *Correspondence: Louis W.C. Chow,
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15
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Patterns of Immunohistochemical Expression of P53, BCL2, PTEN, and HER2/neu Tumor Markers in Specific Breast Cancer Lesions. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:2026284. [PMID: 36299777 PMCID: PMC9592210 DOI: 10.1155/2022/2026284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 09/15/2022] [Indexed: 11/07/2022]
Abstract
Objective This study aimed to associate the expression of P53, BCL2, PTEN, and HER2/neu tumor markers in specific breast cancer lesions. Methods This study analyzed the immunohistochemical expression of P53, BCL2, PTEN, and HER2/neu tumor markers for 306 patients who presented with lesions. Tissue blocks and patients' identification data were retrieved from the department of pathology, AL Madinah Almonwarah hospital, Al Madinah, UAE. Results Of the 306 patients, 104 had benign lesions and 202 had malignancy (including 194 females and 6 males). Most females were presented with invasive ductal carcinoma (IDC), followed by infiltrating ductal carcinoma, and invasive lobular carcinoma (ILC), representing 70%, 23.2%, and 3.7%, respectively. Positive P53, BCL2, PTEN, and HER2 were identified in 20.8%, 11.9%, 91%, and 18.3%, respectively. Conclusion : The expression of P53, BCL2, PTEN, and HER2/neu tumor markers among Saudi patients with breast cancer is relatively similar in many parts of the world.
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16
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Shen Y, Singh J, Sah B, Chen Z, Ha W, Henzler C, Su T, Xie L, Deng Y, Li G, Guo H, Hibshoosh H, Liu L. The Histone Demethylase HR Suppresses Breast Cancer Development through Enhanced CELF2 Tumor Suppressor Activity. Cancers (Basel) 2022; 14:4648. [PMID: 36230572 PMCID: PMC9564370 DOI: 10.3390/cancers14194648] [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: 08/17/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022] Open
Abstract
The hairless (HR) gene encodes a transcription factor with histone demethylase activity that is essential for development and tissue homeostasis. Previous studies suggest that mutational inactivation of HR promotes tumorigenesis. To investigate HR mutations in breast cancer, we performed targeted next-generation sequencing using DNA isolated from primary breast cancer tissues. We identified HR somatic mutations in approximately 15% of the patient cohort (n = 85), compared with 23% for BRCA2, 13% for GATA3, 7% for BRCA1, and 3% for PTEN in the same patient cohort. We also found an average 23% HR copy number loss in breast cancers. In support of HR's antitumor functions, HR reconstitution in HR-deficient human breast cancer cells significantly suppressed tumor growth in orthotopic xenograft mouse models. We further demonstrated that HR's antitumor activity was at least partly mediated by transcriptional activation of CELF2, a tumor suppressor with RNA-binding activity. Consistent with HR's histone demethylase activity, pharmacologic inhibition of histone methylation suppressed HR-deficient breast cancer cell proliferation, migration and tumor growth. Taken together, we identified HR as a novel tumor suppressor that is frequently mutated in breast cancer. We also showed that pharmacologic inhibition of histone methylation is effective in suppressing HR-deficient breast tumor growth and progression.
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Affiliation(s)
- Yao Shen
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Jasvinder Singh
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
| | - Bindeshwar Sah
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
| | - Zhongming Chen
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
| | - Wootae Ha
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
| | - Christine Henzler
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Tao Su
- Department of Pathology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Lillian Xie
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
| | - Yibin Deng
- Department of Urology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
| | - Gen Li
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Hua Guo
- Department of Pathology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Hanina Hibshoosh
- Department of Pathology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Liang Liu
- The Hormel Institute, University of Minnesota, Austin, MN 55912, USA
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA
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17
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Qu L, Chen Q, Luo N, Zhao P, Zou Q, Mei X, Liu Z, Yi W. 3D reconstruction based novel methods are more effective than traditional clinical assessment in breast cancer axillary lymph node metastasis prediction. Sci Rep 2022; 12:12425. [PMID: 35858979 PMCID: PMC9300607 DOI: 10.1038/s41598-022-16380-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 07/08/2022] [Indexed: 11/09/2022] Open
Abstract
The status of axillary lymph node metastases determines the treatment and overall survival of breast cancer (BC) patients. Three-dimensional (3D) assessment methods have advantages for spatial localization and are more responsive to morphological changes in lymph nodes than two-dimensional (2D) assessment methods, and we speculate that methods developed using 3D reconstruction systems have high diagnostic efficacy. This exploratory study included 43 patients with histologically confirmed BC diagnosed at Second Xiangya Hospital of Central South University between July 2017 and August 2020, all of whom underwent preoperative CT scans. Patients were divided into a training cohort to train the model and a validation cohort to validate the model. A 3D axillary lymph node atlas was constructed on a 3D reconstruction system to create various methods of assessing lymph node metastases for a comparison of diagnostic efficacy. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic values of these methods. A total of 43 patients (mean [SD] age, 47 [10] years) met the eligibility criteria and completed 3D reconstruction. An axillary lymph node atlas was established, and a correlation between lymph node sphericity and lymph node metastasis was revealed. By continuously fitting the size and characteristics of axillary lymph nodes on the 3D reconstruction system, formulas and models were established to determine the presence or absence of lymph node metastasis, and the 3D method had better sensitivity for axillary lymph node assessment than the 2D method, with a statistically significant difference in the correct classification rate. The combined diagnostic method was superior to a single diagnostic method, with a 92.3% correct classification rate for the 3D method combined with ultrasound. In addition, in patients who received neoadjuvant chemotherapy (NAC), the correct classification rate of the 3D method (72.7%) was significantly higher than that of ultrasound (45.5%) and CT (54.5%). By establishing an axillary lymph node atlas, the sphericity formula and model developed with the 3D reconstruction system achieve a high correct classification rate when combined with ultrasound or CT and can also be applied to patients receiving NAC.
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Affiliation(s)
- Limeng Qu
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Qitong Chen
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Na Luo
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.,Department of General Surgery, The First People's Hospital of Changde City, Changde, China
| | - Piao Zhao
- Department of Orthopaedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qiongyan Zou
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China
| | - Xilong Mei
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ziru Liu
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.
| | - Wenjun Yi
- Department of General Surgery, The Second Xiangya Hospital Of Central South University, No. 139, Renmin Central Road, Changsha, 410011, People's Republic of China.
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18
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Morrissey RL, Thompson AM, Lozano G. Is loss of p53 a driver of ductal carcinoma in situ progression? Br J Cancer 2022; 127:1744-1754. [PMID: 35764786 DOI: 10.1038/s41416-022-01885-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 05/17/2022] [Accepted: 06/01/2022] [Indexed: 11/09/2022] Open
Abstract
Ductal carcinoma in situ (DCIS) is a non-obligate precursor of invasive carcinoma. Multiple studies have shown that DCIS lesions typically possess a driver mutation associated with cancer development. Mutation in the TP53 tumour suppressor gene is present in 15-30% of pure DCIS lesions and in ~30% of invasive breast cancers. Mutations in TP53 are significantly associated with high-grade DCIS, the most likely form of DCIS to progress to invasive carcinoma. In this review, we summarise published evidence on the prevalence of mutant TP53 in DCIS (including all DCIS subtypes), discuss the availability of mouse models for the study of DCIS and highlight the need for functional studies of the role of TP53 in the development of DCIS and progression from DCIS to invasive disease.
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Affiliation(s)
- Rhiannon L Morrissey
- Genetics and Epigenetics Program at The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alastair M Thompson
- Division of Surgical Oncology, Department of Surgery, Baylor College of Medicine, Houston, TX, USA
| | - Guillermina Lozano
- Genetics and Epigenetics Program at The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA. .,Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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19
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Al-Zubaidy HFS, Majeed SR, Al-Koofee DAF. Evaluation of Bax and BCL 2 Genes Polymorphisms in Iraqi Women with Breast Cancer. ARCHIVES OF RAZI INSTITUTE 2022; 77:799-808. [PMID: 36284943 PMCID: PMC9548264 DOI: 10.22092/ari.2022.357090.1968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 01/16/2022] [Indexed: 05/25/2023]
Abstract
The present study aimed to examine the polymorphism -938C > A of BCL-2 gene and promoter -248G>A in the Bax gene, as well as their relationship with specific clinical-pathological characteristics, in patients with breast cancer. Blood samples were obtained from 70 patients who had been diagnosed with breast cancer and 34 healthy women as the control group. Polymorphic analysis was performed using the polymerase chain reaction-restriction fragment length polymorphism assay. Anthropometric data were assessed. Estrogen receptor (ER), human epidermal growth factor receptor 2 (Her-2), and progesterone receptor (PR) were measured by immunohistochemistry. The data of age and body mass index (BMI) demonstrated no significant variations between the two groups (P>0.05). The results of HER-2 revealed that 42.86% of breast cancer patients reflected positively for Her-2/neu expression, while 24.29% reflected negative results of Her-2/neu. Moreover, the results of ER revealed that 42.86% and 28.57% of subjects were positive and negative ER, respectively; moreover, the missing data was 28.57%. In addition, the results of PR indicated that 35.71% of patients (25/70) were positive for PR, while 28.57% reflected negative results, and the missing results were 35.71%. The genotype and allele frequencies of BCL-2(-938C>A) were not statistically significant in women with breast cancer and the control group (P=0.574, P=0.533) for heterozygous and recessive models, respectively. The genotype of BCL-2(-938C>A) in control and patients in codominant, dominant, recessive, and additive models demonstrated no significant variations of all genotypes in all groups. Genotypes and allele frequencies for Bax (-248G>A) in patients with breast cancer and control indicated that the frequencies of GG, AG, and AA genotypes in cases were 16.67%, 3.33%, and 80 %, while in controls, these values were 3.23 %, 58.06 %, and 3.23 %, respectively. The heterozygous genotype (AG) in the codominant model was OR=36.00 (95% CI 4.5608 - 284.1608; P=0.0007). In comparison with the wild type (GG), there was a 36-fold increase in the risk of breast cancer. Furthermore, the findings of this study revealed a significant correlation between Bax (-248G>A) polymorphism and breast cancer risk under the dominant and overdominant (OR=6.33; 95% CI 2.2604 -17.7452; P=0.0004, and OR=40.154; 95% CI 5.1365 - 313.8949; P=0.0004, respectively. The recessive model revealed that there was a decreased risk of breast cancer (OR= 0.167; 95% CI 0.0303 to 0.9168; P=0.039). Based on the results, it can be concluded that there were no significant variations in BCL-2 (-938C>A) polymorphism of all genotypes models when breast cancer women are compared with healthy ones. In a similar vein, there was no significant association between the BCL-2 (-938C>A) polymorphism and breast cancer risk under dominant, codominant, or recessive models.
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Affiliation(s)
| | - S R Majeed
- Faculty of Pharmacy, University of Kufa, Kufa, Iraq
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20
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Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev 2022; 31:124-131. [PMID: 34737209 PMCID: PMC8755611 DOI: 10.1158/1055-9965.epi-21-0661] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/25/2021] [Accepted: 10/26/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER subtypes, associations by TP53 status have been inconsistent. METHODS This case-case analysis included incident breast cancer cases (47% Black) from the Carolina Breast Cancer Study (1993-2013). Formalin-fixed paraffin-embedded tumor samples were classified for TP53 functional status (mutant-like/wild-type-like) using a validated RNA signature. For IHC-based TP53 status, mutant-like was classified as at least 10% positivity. We used two-stage polytomous logistic regression to evaluate risk factor heterogeneity due to RNA-based TP53 and/or ER, adjusting for each other and for PR, HER2, and grade. We then compared this with the results when using IHC-based TP53 classification. RESULTS The RNA-based classifier identified 55% of tumors as TP53 wild-type-like and 45% as mutant-like. Several hormone-related factors (oral contraceptive use, menopausal status, age at menopause, and pre- and postmenopausal body mass index) were associated with TP53 mutant-like status, whereas reproductive factors (age at first birth and parity) and smoking were associated with ER status. Multiparity was associated with both TP53 and ER. When classifying TP53 status using IHC methods, no associations were observed with TP53. Associations observed with RNA-based TP53 remained after accounting for basal-like subtype. CONCLUSIONS This case-case study found breast cancer risk factors associated with RNA-based TP53 and ER. IMPACT RNA-based TP53 and ER represent an emerging etiologic schema of interest in breast cancer prevention research.
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Affiliation(s)
- Amber N Hurson
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Mustapha Abubakar
- Division of Cancer Epidemiology and Genetics, NCI, Rockville, Maryland
| | - Alina M Hamilton
- Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina
| | - Kathleen Conway
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katherine A Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Michael I Love
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Andrew F Olshan
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Charles M Perou
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
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21
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Tian Y, Guida JL, Koka H, Li EN, Zhu B, Sung H, Chan A, Zhang H, Tang E, Guo C, Deng J, Hu N, Lu N, Gierach GL, Li J, Yang XR. Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women With Breast Cancer. JNCI Cancer Spectr 2021; 5:pkaa092. [PMID: 34651101 DOI: 10.1093/jncics/pkaa092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 08/25/2020] [Accepted: 09/15/2020] [Indexed: 11/14/2022] Open
Abstract
Background Studies investigating associations between mammographic density (MD) and breast cancer subtypes have generated mixed results. We previously showed that having extremely dense breasts was associated with the human epidermal growth factor receptor-2 (HER2)-enriched subtype in Chinese breast cancer patients. Methods In this study, we reevaluated the MD-subtype association in 1549 Chinese breast cancer patients, using VolparaDensity software to obtain quantitative MD measures. All statistical tests were 2-sided. Results Compared with women with luminal A tumors, women with luminal B/HER2- (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.04 to 1.38; P = .01), luminal B/HER2+ (OR = 1.22, 95% CI = 1.03 to 1.46; P = .03), and HER2-enriched tumors (OR = 1.30, 95% CI = 1.06 to 1.59; P = .01) had higher fibroglandular dense volume. These associations were stronger in patients with smaller tumors (<2 cm). In contrast, the triple-negative subtype was associated with lower nondense volume (OR = 0.82, 95% CI = 0.68 to 0.99; P = .04), and the association was only seen among older women (age 50 years or older). Conclusion Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.
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Affiliation(s)
- Yuan Tian
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jennifer L Guida
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.,Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Hela Koka
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Er-Ni Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Zhu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Hyuna Sung
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA.,Surveillance and Health Services Research, American Cancer Society, Atlanta, GA, USA
| | - Ariane Chan
- Science and Technology, Volpara Health Technologies, Wellington, New Zealand
| | - Han Zhang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Eric Tang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Changyuan Guo
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Joseph Deng
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Nan Hu
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Ning Lu
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gretchen L Gierach
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
| | - Jing Li
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong R Yang
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, MD, USA
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Impact of breast cancer risk factors on clinically relevant prognostic biomarkers for primary breast cancer. Breast Cancer Res Treat 2021; 189:483-495. [PMID: 34185195 PMCID: PMC8357643 DOI: 10.1007/s10549-021-06294-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 06/12/2021] [Indexed: 12/13/2022]
Abstract
Purpose In addition to impacting incidence, risk factors for breast cancer may also influence recurrence and survival from the disease. However, it is unclear how these factors affect combinatorial biomarkers for aiding treatment decision-making in breast cancer. Methods Patients were 8179 women with histologically confirmed invasive breast cancer, diagnosed and treated in a large cancer hospital in Beijing, China. Individual clinicopathological (tumor size, grade, lymph nodes) and immunohistochemical (IHC: ER, PR, HER2, KI67) markers were used to define clinically relevant combinatorial prognostic biomarkers, including the Nottingham Prognostic Index (NPI: combining size, grade, nodes) and IHC4 score (combining ER, PR, HER2, KI67). Odds ratios (ORs) and 95% confidence intervals (CIs) for associations between breast cancer risk factors and quartiles (Q1–Q4) of NPI and IHC4 were assessed in multivariable polytomous logistic regression models. Results Overall, increasing parity (ORtrend(95% CI) = 1.20(1.05–1.37);Ptrend = 0.007), overweight (OR(95% CI)vs normal = 1.60(1.29–1.98)), and obesity (OR(95% CI) vs normal = 2.12(1.43–3.14)) were associated with higher likelihood of developing tumors with high (Q4) versus low (Q1) NPI score. Conversely, increasing age (ORtrend(95% CI) = 0.75(0.66–0.84);Ptrend < 0.001) and positive family history of breast cancer (FHBC) (OR(95% CI) = 0.66(0.45–0.95)) were inversely associated with NPI. Only body mass index (BMI) was associated with IHC4, with overweight (OR(95% CI) vs normal = 0.82(0.66–1.02)) and obese (OR(95% CI) vs normal = 0.52(0.36–0.76)) women less likely to develop high IHC4 tumors. Notably, elevated BMI was associated with higher NPI irrespective of hormone receptor-expression status. Conclusions Our findings indicate that factors affecting breast cancer incidence, particularly age, parity, FHBC, and BMI, may impact clinically relevant prognostic biomarkers with implications for surveillance, prognostication, and counseling. Supplementary Information The online version contains supplementary material available at 10.1007/s10549-021-06294-5.
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23
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Abubakar M, Zhang J, Ahearn TU, Koka H, Guo C, Lawrence SM, Mutreja K, Figueroa JD, Ying J, Lissowska J, Lyu N, Garcia-Closas M, Yang XR. Tumor-Associated Stromal Cellular Density as a Predictor of Recurrence and Mortality in Breast Cancer: Results from Ethnically Diverse Study Populations. Cancer Epidemiol Biomarkers Prev 2021; 30:1397-1407. [PMID: 33952648 DOI: 10.1158/1055-9965.epi-21-0055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/08/2021] [Accepted: 04/26/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Tumor-associated stroma is comprised of fibroblasts, tumor-infiltrating lymphocytes (TIL), macrophages, endothelial cells, and other cells that interactively influence tumor progression through inflammation and wound repair. Although gene-expression signatures reflecting wound repair predict breast cancer survival, it is unclear whether combined density of tumor-associated stromal cells, a morphologic proxy for inflammation and wound repair signatures on routine hematoxylin and eosin (H&E)-stained sections, is of prognostic relevance. METHODS By applying machine learning to digitized H&E-stained sections for 2,084 breast cancer patients from China (n = 596; 24-55 years), Poland (n = 810; 31-75 years), and the United States (n = 678; 55-78 years), we characterized tumor-associated stromal cellular density (SCD) as the percentage of tumor-stroma that is occupied by nucleated cells. Hazard ratios (HR) and 95% confidence intervals (CI) for associations between SCD and clinical outcomes [recurrence (China) and mortality (Poland and the United States)] were estimated using Cox proportional hazard regression, adjusted for clinical variables. RESULTS SCD was independently predictive of poor clinical outcomes in hormone receptor-positive (luminal) tumors from China [multivariable HR (95% CI)fourth(Q4) vs. first(Q1) quartile = 1.86 (1.06-3.26); P trend = 0.03], Poland [HR (95% CI)Q4 vs. Q1 = 1.80 (1.12-2.89); P trend = 0.01], and the United States [HR (95% CI)Q4 vs. Q1 = 2.42 (1.33-4.42); P trend = 0.002]. In general, SCD provided more prognostic information than most classic clinicopathologic factors, including grade, size, PR, HER2, IHC4, and TILs, predicting clinical outcomes irrespective of menopausal or lymph nodal status. SCD was not predictive of outcomes in hormone receptor-negative tumors. CONCLUSIONS Our findings support the independent prognostic value of tumor-associated SCD among ethnically diverse luminal breast cancer patients. IMPACT Assessment of tumor-associated SCD on standard H&E could help refine prognostic assessment and therapeutic decision making in luminal breast cancer.
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Affiliation(s)
- Mustapha Abubakar
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
| | - Jing Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Thomas U Ahearn
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Hela Koka
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Changyuan Guo
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Scott M Lawrence
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, Maryland
| | - Karun Mutreja
- Molecular and Digital Pathology Laboratory, Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick, Maryland
| | - Jonine D Figueroa
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jolanta Lissowska
- Epidemiology Unit, Department of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Ning Lyu
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Montserrat Garcia-Closas
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Xiaohong Rose Yang
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
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Kashyap D, Garg VK, Sandberg EN, Goel N, Bishayee A. Oncogenic and Tumor Suppressive Components of the Cell Cycle in Breast Cancer Progression and Prognosis. Pharmaceutics 2021; 13:pharmaceutics13040569. [PMID: 33920506 PMCID: PMC8072616 DOI: 10.3390/pharmaceutics13040569] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 04/03/2021] [Accepted: 04/13/2021] [Indexed: 02/08/2023] Open
Abstract
Cancer, a disease of inappropriate cell proliferation, is strongly interconnected with the cell cycle. All cancers consist of an abnormal accumulation of neoplastic cells, which are propagated toward uncontrolled cell division and proliferation in response to mitogenic signals. Mitogenic stimuli include genetic and epigenetic changes in cell cycle regulatory genes and other genes which regulate the cell cycle. This suggests that multiple, distinct pathways of genetic alterations lead to cancer development. Products of both oncogenes (including cyclin-dependent kinase (CDKs) and cyclins) and tumor suppressor genes (including cyclin-dependent kinase inhibitors) regulate cell cycle machinery and promote or suppress cell cycle progression, respectively. The identification of cyclins and CDKs help to explain and understand the molecular mechanisms of cell cycle machinery. During breast cancer tumorigenesis, cyclins A, B, C, D1, and E; cyclin-dependent kinase (CDKs); and CDK-inhibitor proteins p16, p21, p27, and p53 are known to play significant roles in cell cycle control and are tightly regulated in normal breast epithelial cells. Following mitogenic stimuli, these components are deregulated, which promotes neoplastic transformation of breast epithelial cells. Multiple studies implicate the roles of both types of components-oncogenic CDKs and cyclins, along with tumor-suppressing cyclin-dependent inhibitors-in breast cancer initiation and progression. Numerous clinical studies have confirmed that there is a prognostic significance for screening for these described components, regarding patient outcomes and their responses to therapy. The aim of this review article is to summarize the roles of oncogenic and tumor-suppressive components of the cell cycle in breast cancer progression and prognosis.
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Affiliation(s)
- Dharambir Kashyap
- Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh 160 012, Punjab, India;
| | | | - Elise N. Sandberg
- Lake Erie College of Osteopathic Medicine, Bradenton, FL 34211, USA;
| | - Neelam Goel
- University Institute of Engineering and Technology, Panjab University, Chandigarh 160 014, Punjab, India
- Correspondence: (N.G.); or (A.B.)
| | - Anupam Bishayee
- Lake Erie College of Osteopathic Medicine, Bradenton, FL 34211, USA;
- Correspondence: (N.G.); or (A.B.)
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25
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Prognostic value of p53 expression in hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer patients receiving neoadjuvant chemotherapy. Breast Cancer Res Treat 2021; 187:447-454. [PMID: 33599867 DOI: 10.1007/s10549-021-06134-6] [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: 12/25/2020] [Accepted: 02/05/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE The aim of this study was to determine whether the outcome to neoadjuvant chemotherapy (NAC) can be predicted by analyzing p53 expression in hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer patients. METHODS We retrospectively reviewed 594 patients diagnosed with stage I-III HR-positive, HER2-negative breast cancer, and treated with NAC at the Asan Medical Center between 2008 and 2014. Expression of p53 was assessed, and overall survival (OS) and breast cancer-specific survival (BCSS) were investigated and compared between groups. RESULTS At a median follow-up period of 69.8 months, OS and BCSS were higher in the p53-negative (p53(-)) group than in the p53-positive (p53(+)) group. Five-year OS was 95.4% in the p53(-) and 92.1% in the p53(+) group (p = 0.005). BCSS was 96.2% in the p53(-) group and 93% in the p53(+) group (p = 0.008). CONCLUSION High expression of immunohistochemically detected p53 was strongly and significantly associated with decreased OS and BCSS than low p53 expression, suggesting that p53 may be a powerful prognostic factor in HR-positive, HER2-negative breast cancer patients receiving NAC.
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26
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Valdivia G, Alonso-Diez Á, Pérez-Alenza D, Peña L. From Conventional to Precision Therapy in Canine Mammary Cancer: A Comprehensive Review. Front Vet Sci 2021; 8:623800. [PMID: 33681329 PMCID: PMC7925635 DOI: 10.3389/fvets.2021.623800] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/11/2021] [Indexed: 12/16/2022] Open
Abstract
Canine mammary tumors (CMTs) are the most common neoplasm in intact female dogs. Canine mammary cancer (CMC) represents 50% of CMTs, and besides surgery, which is the elective treatment, additional targeted and non-targeted therapies could offer benefits in terms of survival to these patients. Also, CMC is considered a good spontaneous intermediate animal model for the research of human breast cancer (HBC), and therefore, the study of new treatments for CMC is a promising field in comparative oncology. Dogs with CMC have a comparable disease, an intact immune system, and a much shorter life span, which allows the achievement of results in a relatively short time. Besides conventional chemotherapy, innovative therapies have a large niche of opportunities. In this article, a comprehensive review of the current research in adjuvant therapies for CMC is conducted to gather available information and evaluate the perspectives. Firstly, updates are provided on the clinical-pathological approach and the use of conventional therapies, to delve later into precision therapies against therapeutic targets such as hormone receptors, tyrosine kinase receptors, p53 tumor suppressor gene, cyclooxygenases, the signaling pathways involved in epithelial-mesenchymal transition, and immunotherapy in different approaches. A comparison of the different investigations on targeted therapies in HBC is also carried out. In the last years, the increasing number of basic research studies of new promising therapeutic agents on CMC cell lines and CMC mouse xenografts is outstanding. As the main conclusion of this review, the lack of effort to bring the in vitro studies into the field of applied clinical research emerges. There is a great need for well-planned large prospective randomized clinical trials in dogs with CMC to obtain valid results for both species, humans and dogs, on the use of new therapies. Following the One Health concept, human and veterinary oncology will have to join forces to take advantage of both the economic and technological resources that are invested in HBC research, together with the innumerable advantages of dogs with CMC as a spontaneous animal model.
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Affiliation(s)
- Guillermo Valdivia
- Department Animal Medicine, Surgery and Pathology, Veterinary School, Complutense University of Madrid, Madrid, Spain
- Mammary Oncology Unit, Complutense Veterinary Teaching Hospital, Complutense University of Madrid, Madrid, Spain
| | - Ángela Alonso-Diez
- Department Animal Medicine, Surgery and Pathology, Veterinary School, Complutense University of Madrid, Madrid, Spain
- Mammary Oncology Unit, Complutense Veterinary Teaching Hospital, Complutense University of Madrid, Madrid, Spain
| | - Dolores Pérez-Alenza
- Department Animal Medicine, Surgery and Pathology, Veterinary School, Complutense University of Madrid, Madrid, Spain
- Mammary Oncology Unit, Complutense Veterinary Teaching Hospital, Complutense University of Madrid, Madrid, Spain
| | - Laura Peña
- Department Animal Medicine, Surgery and Pathology, Veterinary School, Complutense University of Madrid, Madrid, Spain
- Mammary Oncology Unit, Complutense Veterinary Teaching Hospital, Complutense University of Madrid, Madrid, Spain
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Feng Q, Hu Q, Liu Y, Yang T, Yin Z. Diagnosis of triple negative breast cancer based on radiomics signatures extracted from preoperative contrast-enhanced chest computed tomography. BMC Cancer 2020; 20:579. [PMID: 32571245 PMCID: PMC7309976 DOI: 10.1186/s12885-020-07053-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 06/08/2020] [Indexed: 12/13/2022] Open
Abstract
Background To explore the diagnostic value of radiomics features of preoperative computed tomography (CT) for triple negative breast cancer (TNBC) for better treatment of patients with breast cancer. Methods A total of 890 patients with breast cancer admitted to our hospital from June 2016 to January 2018 were analyzed. They were diagnosed by surgery and pathology to have mass and invasive breast cancer and had contrast-enhanced chest CT examination before operation. 300 patients were randomly selected for the study, including 100 TNBC and 200 non-TNBC (NTNBC) patients. Among them 180 were used in discovery group and 120 were used in validation group. The molecular subtypes of breast cancer in the patients were determined immunohistochemistrially. Radiomics features were extracted from three dimensional CT-images. The LASSO logistic method was used to select image features and calculate radiomics scores. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of radiomics scores for TNBC. Results Five image features were found to be related to TNBC subtype (P < 0.001). These image features based-radiomic signatures had good predictive values for TNBC with the areas under ROC curve (AUC) of 0.881 (95% CI: 0.781–0.921) in the discovery group and 0.851 (95% CI: 0.761–0.961) in the validation group, respectively. The sensitivities and specificities were 0.767, and 0.873 in the discovery group and 0.785 and 0.915 in the validation group. Conclusions Radiomic signature based on preoperative CT is capable of distinguishing patients with TNBC and NTNBC. It adds additional value for conventional chest contrast-enhanced CT and helps plan the strategy for clinical treatment of the patients.
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Affiliation(s)
- Qingliang Feng
- Department of Radiology, Linyi Central Hospital, Linyi, China
| | - Qiang Hu
- Department of Radiology, Linyi Central Hospital, Linyi, China
| | - Yan Liu
- Department of Healthcare, Linyi Central Hospital, Linyi, China
| | - Tao Yang
- Department of Radiology, Linyi Central Hospital, Linyi, China
| | - Ziyi Yin
- Department of Surgery, Beijing Tiantan Hospital, Capital Medical University, 119 South 4th Ring West Road, Beijing, 100070, China.
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Omarini C, Bettelli S, Manfredini S, Barbolini M, Isca C, Cortesi G, Maiorana A, Tazzioli G, Dominici M, Piacentini F. Modulation of Mutational Landscape in HER2-Positive Breast Cancer after Neoadjuvant Chemotherapy. Transl Oncol 2020; 13:100794. [PMID: 32485588 PMCID: PMC7264751 DOI: 10.1016/j.tranon.2020.100794] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/27/2020] [Accepted: 04/27/2020] [Indexed: 01/13/2023] Open
Abstract
INTRODUCTION In early-stage HER2 positive breast cancer (BC) patients, tumor response to neoadjuvant chemotherapy (NACT) predict survival outcomes. Patients achieving less than pathological complete response (pCR) have a worse prognosis, however, this group is heterogeneous. Nowadays limited data on predictive/prognostic biomarkers in patients with residual cancer disease are available. METHODS Using next-generation sequencing technology, we evaluated a panel of 21 cancer genes in a group of HER2 positive BC patients with residual disease after NACT. A control group of patients who achieved the pCR was selected too. The BC mutational profile was analyzed on both the tumor diagnostic biopsy and matched residual disease. RESULTS Overall, the detection rate of mutations was 79% in the No-pCR group versus 90% in the pCR cohort and 98% in the residual BC. The most mutated genes were TP53 and PIK3CA. No correlations between single gene mutations and survival outcomes were found. In no-pCR cohort, 52% of patients had different mutational profile after NACT, 69% of them had an increased in the number of mutated genes. Mutational profile changes from diagnostic biopsy to residual BC were a negative prognostic factor in term of relapse free survival: recurrence probability in different gene profile sub-group was 42% vs 0% in the same profile one (P = .019). CONCLUSIONS Treatment selective pressure on tumor cells due to NACT changed the gene mutational profile in more than half of BC patient with residual tumor disease. Treatment-induced gene mutations significantly increase the risk of relapse. Profiling primary and residual BC is a major step in order to further personalized adjuvant treatment strategy.
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Affiliation(s)
- Claudia Omarini
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy; Department of General Surgery and Surgical Specialities, University Hospital of Modena, Modena, Italy.
| | - Stefania Bettelli
- Division of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy
| | - Samantha Manfredini
- Division of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy
| | - Monica Barbolini
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
| | - Chrystel Isca
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
| | - Giulia Cortesi
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
| | - Antonino Maiorana
- Division of Pathological Anatomy, Department of Diagnostic, Clinical Medicine and Public Health, University Hospital of Modena, Modena, Italy
| | - Giovanni Tazzioli
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
| | - Massimo Dominici
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
| | - Federico Piacentini
- Department of Medical and Surgical Sciences for Children and Adults, University Hospital of Modena, Modena, Italy
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Testa U, Castelli G, Pelosi E. Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments. Med Sci (Basel) 2020; 8:E18. [PMID: 32210163 PMCID: PMC7151639 DOI: 10.3390/medsci8010018] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 02/23/2020] [Accepted: 03/11/2020] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most commonly occurring cancer in women. There were over two-million new cases in world in 2018. It is the second leading cause of death from cancer in western countries. At the molecular level, breast cancer is a heterogeneous disease, which is characterized by high genomic instability evidenced by somatic gene mutations, copy number alterations, and chromosome structural rearrangements. The genomic instability is caused by defects in DNA damage repair, transcription, DNA replication, telomere maintenance and mitotic chromosome segregation. According to molecular features, breast cancers are subdivided in subtypes, according to activation of hormone receptors (estrogen receptor and progesterone receptor), of human epidermal growth factors receptor 2 (HER2), and or BRCA mutations. In-depth analyses of the molecular features of primary and metastatic breast cancer have shown the great heterogeneity of genetic alterations and their clonal evolution during disease development. These studies have contributed to identify a repertoire of numerous disease-causing genes that are altered through different mutational processes. While early-stage breast cancer is a curable disease in about 70% of patients, advanced breast cancer is largely incurable. However, molecular studies have contributed to develop new therapeutic approaches targeting HER2, CDK4/6, PI3K, or involving poly(ADP-ribose) polymerase inhibitors for BRCA mutation carriers and immunotherapy.
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Affiliation(s)
- Ugo Testa
- Department of Oncology, Istituto Superiore di Sanità, Regina Elena 299, 00161 Rome, Italy; (G.C.); (E.P.)
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Alwan NAS, Tawfeeq FN. Comparison of Clinico-Pathological Presentations of Triple-Negative versus Triple-Positive and HER2 Iraqi Breast Cancer Patients. Open Access Maced J Med Sci 2019; 7:3534-3539. [PMID: 32010372 PMCID: PMC6986522 DOI: 10.3889/oamjms.2019.808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 08/24/2019] [Accepted: 08/25/2019] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Breast cancer remains the most common malignancy among the Iraqi population. Affected patients exhibit different clinical behaviours according to the molecular subtypes of the tumour. AIM To identify the clinical and pathological presentations of the Iraqi breast cancer subtypes identified by Estrogen receptors (ER), Progesterone receptors (PR) and HER2 expressions. PATIENTS AND METHODS The present study comprised 486 Iraqi female patients diagnosed with breast cancer. ER, PR and HER2 contents of the primary tumours were assessed through immunohistochemical staining; classifying the patients into five different groups: Triple Negative (ER/PR negative/HER2 negative), Triple Positive (ER/PR positive/HER2 positive), Luminal A (ER/PR positive/HER2 negative), HER2 enriched ((ER/PR negative/HER2 positive) and all other subtypes. RESULTS The major registered subtype was the Luminal A which was encountered in 230 patients (47.3%), followed by the Triple Negative (14.6%), Triple Positive (13.6%) and HER2 Enriched (11.5%). Patients exhibiting the Triple Negative subtype were significantly younger than the rest of the groups and presented with larger size tumours. A significant difference in the distribution of the breast cancer stages was displayed (p < 0.05); the most advanced were noted among those with HER2 enriched tumours who exhibited the highest frequency of poorly differentiated carcinomas and lymph node involvement. CONCLUSION The most significant variations in the clinicopathological presentations were observed in the age and clinical stage of the patients at diagnosis. Adoption of breast cancer molecular subtype classification in countries with limited resources could serve as a valuable prognostic marker in the management of aggressive forms of the disease.
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Affiliation(s)
- Nada A. S. Alwan
- National Cancer Research Center, University of Baghdad, Baghdad, Iraq
| | - Furat N. Tawfeeq
- National Cancer Research Center, University of Baghdad, Baghdad, Iraq
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