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Jun K. A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns. Sci Rep 2023; 13:14407. [PMID: 37658158 PMCID: PMC10474150 DOI: 10.1038/s41598-023-41700-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/30/2023] [Indexed: 09/03/2023] Open
Abstract
Computed tomography (CT) has been developed as a nondestructive technique for observing minute internal images in samples. It has been difficult to obtain photorealistic (clean or clear) CT images due to various unwanted artifacts generated during the CT scanning process, along with the limitations of back-projection algorithms. Recently, an iterative optimization algorithm has been developed that uses an entire sinogram to reduce errors caused by artifacts. In this paper, we introduce a new quantum algorithm for reconstructing CT images. This algorithm can be used with any type of light source as long as the projection is defined. Assuming an experimental sinogram produced by a Radon transform, to find the CT image of this sinogram, we express the CT image as a combination of qubits. After acquiring the Radon transform of the undetermined CT image, we combine the actual sinogram and the optimized qubits. The global energy optimization value used here can determine the value of qubits through a gate model quantum computer or quantum annealer. In particular, the new algorithm can also be used for cone-beam CT image reconstruction and for medical imaging.
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Azadbakht N, Doosti A, Jami MS. CRISPR/Cas9-mediated LINC00511 knockout strategies, increased apoptosis of breast cancer cells via suppressing antiapoptotic genes. Biol Proced Online 2022; 24:8. [PMID: 35790898 PMCID: PMC9254607 DOI: 10.1186/s12575-022-00171-1] [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: 03/25/2022] [Accepted: 06/20/2022] [Indexed: 12/19/2022] Open
Abstract
Background The growing detection of long noncoding RNAs (lncRNAs) required the application of functional approaches in order to provide absolutely precise, conducive, and reliable processed information along with effective consequences. We utilized genetic knockout (KO) techniques to ablate the Long Intergenic Noncoding RNA 00,511 gene in several humans who suffered from breast cancer cells and at the end we analyzed and examined the results. Results The predictive relevance of LINC00511 expression pattern was measured by using a pooled hazard ratio (HR) with a 95% confidence interval (CI). The link among LINC00511 expression profiles and cancer metastasis was measured by using a pooled odds ratio (OR) with a 95% confidence interval. This meta- analysis was composed of fifteen studies which contained a total of 1040 tumor patients. We used three distinct CRISPR/Cas9-mediated knockdown techniques to prevent the LINC00511 lncRNA from being transcribed. RT-PCR was used to measure lncRNA and RNA expression. We used CCK-8, colony formation tests, and the invasion transwell test to measure cell proliferation and invasion. The stemness was measured by using a sphere-formation test. To validate molecular attachment, luciferase reporter assays were performed. The functional impacts of LINC00511 gene deletion in knockdown breast cancer cell lines were confirmed by using RT-qPCR, MTT, and a colony formation test. This meta-analysis was composed of 15 trials which contained a total of 1040 malignant tumors. Greater LINC00511 expression was ascribed to a lower overall survival (HR = 1.93, 95% CI 1.49–2.49, < P 0.001) and to an increased proportion of lymph node metastasis (OR = 3.07, 95% CI 2.23–4.23, P < 0.001) in the meta‐analysis. It was found that the role of LINC00511 was overexpressed in breast cancer samples, and this overexpression was ascribed to a poor prognosis. The gain and loss-of-function tests demonstrated findings such as LINC00511 increased breast cancer cell proliferation, sphere-forming ability, and tumor growth. Additionally, the transcription factor E2F1 binds to the Nanog gene's promoter site to induce transcription. P57, P21, Prkca, MDM4, Map2k6, and FADD gene expression in the treatment group (LINC00511 deletion) was significantly higher than in the control group (P < 0.01). In addition, knockout cells had lower expression of BCL2 and surviving genes than control cells P < 0.001). In each of the two target alleles, the du-HITI approach introduced a reporter and a transcription termination signal. This strategy's donor vector preparation was significantly easier than "CRISPR HDR," and cell selection was likewise much easier than "CRISPR excision." Furthermore, when this approach was used in the initial transfection attempt, single-cell knockouts for both alleles were generated. Conclusions The methods employed and described in this work could be extended to the production of LINC00511 knockout cell lines and, in theory, to the deletion of other lncRNAs to study their function. Supplementary Information The online version contains supplementary material available at 10.1186/s12575-022-00171-1.
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Yu AYL, Thomas SM, DiLalla GD, Greenup RA, Hwang ES, Hyslop T, Menendez CS, Plichta JK, Tolnitch LA, Fayanju OM. Disease characteristics and mortality among Asian women with breast cancer. Cancer 2022; 128:1024-1037. [PMID: 34792814 PMCID: PMC8837687 DOI: 10.1002/cncr.34015] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Asian women with breast cancer are often studied in aggregate, belying significant intragroup diversity. The authors sought to examine differences in breast cancer characteristics and outcomes among Asian women. METHODS Asian, non-Hispanic Black, Hispanic, and non-Hispanic White women aged 18 years and older who were diagnosed with breast cancer from 1990 to 2016 were identified in the Surveillance, Epidemiology, and End Results 18 database. Asian patients were subclassified as Chinese, Japanese, Korean, Filipino, Vietnamese, South Asian (Asian Indian or Pakistani), Southeast Asian (SEA, i.e., Cambodian, Laotian, Hmong, or Thai), or other Asian. Unadjusted overall survival (OS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to estimate adjusted OS and CSS. RESULTS In total, 910,415 women were included (Asian, n = 63,405; Black, n = 92,226; Hispanic, n = 84,451; White, n = 670,333). Asian women had higher rates of human epidermal growth factor receptor 2 (HER2)-positive disease compared with White women (18.7% vs 13.8%) and had the highest 10-year unadjusted OS and CSS among all racial/ethnic groups (all P < .001). SEA women had the highest rates of stage IV disease at presentation, whereas Japanese women had the lowest rates (5.9% vs 2.7%; P < .001). Japanese women had the highest 10-year unadjusted CSS (89.4%; 95% confidence interval, 88.7%-90.1%) of any distinct Asian group, whereas SEA women had the worst unadjusted CSS (78%; 95% confidence interval, 74.1%-81.3%; P < .001). After adjustment, SEA women had the worst OS of any Asian group and were the only Asian group without improved OS compared with White women (reference category; P = .08). CONCLUSIONS Breast cancer characteristics and outcomes vary significantly among Asian women. Future research should consider disaggregation by country or region of origin to identify subgroups that are at risk for worse outcomes than aggregated data may suggest. LAY SUMMARY Asian women with breast cancer are frequently studied as a single entity. However, Asian ethnic groups differ greatly by country of origin, genetic ancestry, disease frequency, socioeconomic status, patterns of immigration, as well as dietary and cultural practices. Women of different Asian ethnicities vary significantly with regard to cancer characteristics, such as mortality and tumor subtype. Future research should disaggregate these populations to better understand, treat, and counsel Asian patients with breast cancer.
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Affiliation(s)
| | - Samantha M Thomas
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.,Duke Cancer Institute, Durham, North Carolina
| | - Gayle D DiLalla
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Rachel A Greenup
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - E Shelley Hwang
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.,Duke Cancer Institute, Durham, North Carolina
| | - Carolyn S Menendez
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Jennifer K Plichta
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Lisa A Tolnitch
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Oluwadamilola M Fayanju
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.,Department of Surgery, Durham Veterans Affairs Medical Center, Durham, North Carolina
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Lin X, Lin X, Li Y, Zhang Y, Lin J, Zhang G. Differential Second Primary Malignancy Occurrence After Breast Cancer According to HER2 Status: A Population-Based Study. Int J Gen Med 2021; 14:8775-8784. [PMID: 34853531 PMCID: PMC8627860 DOI: 10.2147/ijgm.s338455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/22/2021] [Indexed: 02/05/2023] Open
Abstract
PURPOSE Our study aims to analyze the association between HER2 status of breast cancer (BC) and second primary malignancy (SPM) occurrence. MATERIALS AND METHODS Based on BC patients registered between 2010 and 2018 in the NCI SEER database, we utilized standardized incidence ratio (SIR) and Poisson regression to quantify SPM occurrence compared with the general population. Then, adjusted for competing death risk, cumulative incidence function and Gray's test were adopted to estimate the probability of SPM. Subsequent proportional subdistribution hazards regression was executed to identify the HER2 status impact on SPM risk. Finally, survival analysis was performed. RESULTS A total of 409,796 first BC patients were included and 18,283 were identified with at least one SPM. The SIR of SPM after HER2+ BC was significantly lower than HER2- BC (1.03 vs 1.13; RR, 0.92; 95% CI, 0.88-0.96; p<0.001). The predominantly declining SPM risk was only observed for second BC (RR, 0.89; 95% CI, 0.82-0.96; p=0.003) and lung cancer (RR, 0.84; 95% CI, 0.74-0.95; p=0.007). Furthermore, competing risk analysis verified the protective effect of HER2 positivity status on SPM occurrence. The 5-year cumulative incidence of SPM following HER2+ and HER2- BC were 4.09% and 5.16%, respectively (p<0.001). In addition, among patients suffering from SPM, HER2 positivity status contributed to better overall survival. CONCLUSION It is demonstrated that HER2+ BC patients had lower SPM incidence, which was remarkable for second BC and lung cancer.
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Affiliation(s)
- Xiaoyi Lin
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
- Shantou University Medical College, Shantou, Guangdong, People’s Republic of China
| | - Xin Lin
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, People’s Republic of China
| | - Yingzi Li
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
- Shantou University Medical College, Shantou, Guangdong, People’s Republic of China
| | - Yuchen Zhang
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, People’s Republic of China
| | - Jiali Lin
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
| | - Guochun Zhang
- Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People’s Republic of China
- Correspondence: Guochun Zhang Department of Breast Cancer, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Yuexiu District, Guangzhou, 510080, Guangdong, People’s Republic of ChinaTel/Fax +86 20-83827812-50910 Email
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