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  • Open Access

    ARTICLE

    Optimal Deep Belief Network Based Lung Cancer Detection and Survival Rate Prediction

    Sindhuja Manickavasagam1,*, Poonkuzhali Sugumaran2

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 939-953, 2023, DOI:10.32604/csse.2023.030491 - 16 August 2022

    Abstract The combination of machine learning (ML) approaches in healthcare is a massive advantage designed at curing illness of millions of persons. Several efforts are used by researchers for detecting and providing primary phase insights as to cancer analysis. Lung cancer remained the essential source of disease connected mortality for both men as well as women and their frequency was increasing around the world. Lung disease is the unrestrained progress of irregular cells which begin off in one or both Lungs. The previous detection of cancer is not simpler procedure however if it can be detected,… More >

  • Open Access

    ARTICLE

    Prognostic factors for overall survival in malignant ureteral obstruction

    J. Bradley Mason1,*, Michael Creswell2,*, Jillian Egan1, Christopher Dall1, Tamir Sholklapper2, Lan Anh Galloway2, Joanna Orzel2, Harry Lee2, Sameer Desale3, Lambros Stamatakis2,4

    Canadian Journal of Urology, Vol.29, No.3, pp. 11162-11169, 2022

    Abstract Introduction: To identify prognostic factors for overall survival (OS) in patients with malignant ureteral obstruction (MUO) from gynecologic malignancy (GM), with the goal of improving patient selection for urinary diversion.
    Materials and methods: Retrospective review of 126 patients with MUO from GM at two academic centers from 2011-2019. Factors related to OS identified by Cox regression proportional hazard model. In patients with incomplete survival data (n = 30), hospice was used as a surrogate for death. Multivariate models and receivers operating characteristics (ROC) curves were created for hemoglobin and albumin values.
    Results: Overall median survival was 6.2 months.… More >

  • Open Access

    ARTICLE

    Young age is associated with decreased recurrence for renal cell carcinoma

    Franklin Liu1, Facundo Davaro2, Ryan Wong2, Sameer Siddiqui2, Zachary Hamilton2

    Canadian Journal of Urology, Vol.29, No.3, pp. 11142-11149, 2022

    Abstract Introduction: Sunitinib is a multi-targeted receptor tyrosine kinase inhibitor used to treat metastatic renal cell carcinoma (mRCC). Patients on sunitinib do require regular in-person appointments to monitor for adverse events (AEs). Given the Covid-19 pandemic, regular in-person visits expose patients to an increased risk of infection in addition to potentially preventable travel costs. This study investigated the feasibility of implementing a remote monitoring strategy for patients being treated with sunitinib for mRCC by examining the time trends of AEs.
    Materials and methods: In this retrospective chart review of patients with a diagnosis of mRCC, 167 patients received… More >

  • Open Access

    ARTICLE

    Survival and comorbidities in lung cancer patients: Evidence from administrative claims data in Germany

    DIEGO HERNANDEZ1,*, CHIH-YUAN CHENG1,2, KARLA HERNANDEZ-VILLAFUERTE1, MICHAEL SCHLANDER1,2

    Oncology Research, Vol.30, No.4, pp. 173-185, 2022, DOI:10.32604/or.2022.027262 - 31 January 2023

    Abstract Lung cancer is the most common cancer type worldwide and has the highest and second highest mortality rate for men and women respectively in Germany. Yet, the role of comorbid illnesses in lung cancer patient prognosis is still debated. We analyzed administrative claims data from one of the largest statutory health insurance (SHI) funds in Germany, covering close to 9 million people (11% of the national population); observation period was from 2005 to 2019. Lung cancer patients and their concomitant diseases were identified by ICD-10-GM codes. Comorbidities were classified according to the Charlson Comorbidity Index… More >

  • Open Access

    ARTICLE

    Effects of the number of neoadjuvant therapy cycles on clinical outcomes, safety, and survival in patients with metastatic colorectal cancer undergoing metastasectomy

    YUNG-SUNG YEH1,2,3, HSIANG-LIN TSAI4,5, YEN-CHENG CHEN4,6, WEI-CHIH SU4,6, PO-JUNG CHEN4,6, TSUNG-KUN CHANG4,6,7, CHING-CHUN LI4, CHING-WEN HUANG4,5, JAW-YUAN WANG4,5,6,8,9,10,*

    Oncology Research, Vol.30, No.2, pp. 65-76, 2022, DOI:10.32604/or.2022.026659 - 05 January 2023

    Abstract The controversial outcomes in patients with metastatic colorectal cancer (mCRC) highlight the need for developing effective systemic neoadjuvant treatment strategies to improve clinical results. The optimal treatment cycles in patients with mCRC for metastasectomy remain undefined. This retrospective study compared the efficacy, safety, and survival of cycles of neoadjuvant chemotherapy/targeted therapy for such patients. Sixty-four patients with mCRC who received neoadjuvant chemotherapy/targeted therapy following metastasectomy were enrolled between January 2018 and April 2022. Twenty-eight patients received 6 cycles of chemotherapy/targeted therapy, whereas 36 patients received ≥7 cycles (median, 13; range, 7–20). Clinical outcomes, including response,… More >

  • Open Access

    REVIEW

    Epidemiology of Breast Cancer

    Chao Shang, Dongkui Xu*

    Oncologie, Vol.24, No.4, pp. 649-663, 2022, DOI:10.32604/oncologie.2022.027640 - 31 December 2022

    Abstract All over the world, the most common malignancy in women is breast cancer. Breast cancer is also a significant factor of death in women. In 2020, approximately 2.3 million cases of breast cancer were newly diagnosed in women globally, and approximately 685,000 people died. Breast cancer incidence varies by region around the world, but it is all increasing. According to the current morbidity and mortality trend of breast cancer, it is estimated that by 2030, the number of incidence and deaths of breast cancer will reach 2.64 million and 1.7 million, respectively. The age-standardized incidence… More >

  • Open Access

    ARTICLE

    Racial Disparities in Clinical Features and Survival Outcomes among Patients with Pancreatic Neuroendocrine Tumor: A Contemporary SEER Database Analysis

    Fei Wang1, Jihyun Ma2, Nan Zhao3, Chi Lin3,*, Haixing Jiang1,*

    Oncologie, Vol.24, No.4, pp. 865-895, 2022, DOI:10.32604/oncologie.2022.025447 - 31 December 2022

    Abstract Objective: The characteristics of clinical features and prognoses among patients with different racial backgrounds have not been clearly studied. We thus investigated the clinical characteristics and overall survival (OS) differences among Asian, White, and Black patients with pancreatic neuroendocrine tumors (pNETs). Materials and Methods: The Surveillance, Epidemiology, and End Results (SEER) database was queried to identify patients with pNETs between 1983 and 2015. We performed univariable (UVA) and multivariable logistic regression (MVA) to assess the association between variables and race category. A Kaplan-Meier (KM) plot was used to calculate the OS rates. The Cox proportional hazard regression… More >

  • Open Access

    ARTICLE

    Comparison of Time-Varying Pattern of Recurrence in Chinese Breast Cancer Patients with Different Molecular Subtypes: A Single-Center Retrospective Study

    Xujie Zhou1,2,3,#, Yuting Sang1,3,#, Jiajian Chen1,3, Miao Mo3,4, Jianjing Hou1,3, Benlong Yang1,3,*, Jiong Wu1,2,3,*

    Oncologie, Vol.24, No.3, pp. 451-469, 2022, DOI:10.32604/oncologie.2022.025226 - 19 September 2022

    Abstract Background: To compare the time-varying recurrence patterns of different molecular subtypes of breast cancer in the contemporary era with those in the past era. Patients and Methods: This retrospective study included 14627 consecutive invasive breast cancer patients who underwent surgery from 2008 to 2016 at Fudan University Shanghai Cancer Center. We defined the period from 2013 to 2016 as the contemporary era and that from 2008 to 2012 as the past era. Five subtypes were defined according to the immunohistochemistry results. Emphasis was made on the changing patterns of recurrence for patients with different molecular subtypes changed… More >

  • Open Access

    ARTICLE

    In vivo protective effect of late embryogenesis abundant protein (ApSK3 dehydrin) on Agapanthus praecox to promote post-cryopreservation survival

    TINGTING HUANG1,#, SHAN DENG2,#, JIANGYUAN SHENG1, DI ZHANG1,*

    BIOCELL, Vol.46, No.11, pp. 2507-2515, 2022, DOI:10.32604/biocell.2022.021314 - 07 July 2022

    Abstract Dehydrins (DHNs), as members of the late embryogenesis abundant protein family, play critical roles in the protection of seeds from dehydration and plant adaptation to multiple abiotic stresses. Vitrification is a basic method in plant cryopreservation and is characterized by forming a glassy state to prevent lethal ice crystals produced during cryogenic storage. In this study, ApSK3 type DHN was genetically transformed into embryogenic calluses (EC) of Agapanthus praecox by overexpression (OE) and RNA interference (RNAi) techniques to evaluate the in vivo protective effect of DHNs during cryopreservation. The cell viability showed a completely opposite trend in OE… More >

  • Open Access

    ARTICLE

    Comprehensive analysis reveals an arachidonic acid metabolism-related gene signature in patients with pancreatic ductal adenocarcinoma

    HUILI ZHU1, LINA XIAO1, XIA YIN1, SHIBING XIANG1, CHUNHUI WANG2,*

    BIOCELL, Vol.46, No.10, pp. 2241-2256, 2022, DOI:10.32604/biocell.2022.020389 - 13 June 2022

    Abstract Pancreatic ductal adenocarcinoma (PDAC) is highly heterogeneous, making its prognosis prediction difficult. The arachidonic acid (AA) cascade is involved in carcinogenesis. Therefore, the metabolic enzymes of the AA cascade consist of lipoxygenases (LOXs), phospholipase A2s (PLA2s), and cyclooxygenases (COXs) along with their metabolic products, including leukotrienes. Nevertheless, the prognostic potential of AA metabolism-associated PDAC has not been explored. Herein, the mRNA expression patterns and the matching clinical information of individuals with PDAC were abstracted from online data resources. We employed the LASSO Cox regression model to develop a multigene clinical signature in the TCGA queue.… More >

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