INCIDENCE OF RESPIRATORY SYSTEM CANCER IN THE TOMSK REGION (2005-2016)

2018 ◽  
Vol 64 (6) ◽  
pp. 732-738
Author(s):  
Yevgeniy Choynzonov ◽  
Lyubov Pisareva ◽  
Liliya Zhuykova ◽  
Olga Ananina ◽  
Irina Odintsova
Keyword(s):  
Cancer Research ◽  
Survival Rate ◽  
Respiratory System ◽  
Incidence Rates ◽  
Vital Role ◽  
Cancer Center ◽  
Cancer Research Institute ◽  
Cancer Register ◽  
Common Cancer ◽  
Tomsk Region

Respiratory system cancer (cancer of the nasal cavity, middle ear, paranasal sinuses (C30-31), larynx (C32), trachea, bronchi and lung (C33-34) is one of the most common malignancies in the Tomsk region, comprising 12.9% of all cancer cases. The purpose of the study was to analyze the respiratory system cancer incidence among the population of the Tomsk region. Materials and methods. The study was based on cancer register data collected at the Cancer Research Institute and Tomsk Regional Cancer Center, and covered the period 2005-2016. Results. Respiratory system cancer is the most common cancer in men, comprising 21.7% and the 6-th most common cancer in women, comprising 5.1. The incidence of respiratory system cancer decreased in men and showed an increasing tendency in women. The age-standardized incidence rates in the Tomsk region were expected to be 58.3 per 100,000 males and 12.8 per 100,000 females by 2020. Conclusion. Early detection and prediction of respiratory system cancer should play a vital role in the diagnosis process and also increase the survival rate of patient.

Current Study of RhoA and Associated Signaling Pathways in Gastric Cancer

2020 ◽  
Vol 15 (7) ◽  
pp. 607-613 ◽  
Author(s):  
Haiping Liu ◽  
Yiqian Liu ◽  
Xiaochuan Zhang ◽  
Xiaodong Wang
Keyword(s):  
Gastric Cancer ◽  
Survival Rate ◽  
Signaling Pathways ◽  
Tumor Cells ◽  
Actin Polymerization ◽  
Cell Transformation ◽  
Cell Movement ◽  
Invasion And Metastasis ◽  
Common Cancer

Gastric cancer (GC) is the fourth-most common cancer in the world, with an estimated 1.034 million new cases in 2015, and the third-highest cause of cancer deaths, estimated at 785,558, in 2014. Early diagnosis and treatment greatly affect the survival rate in patients with GC: the 5‐year survival rate of early GC reaches 90%‐95%, while the mortality rate significantly increases if GC develops to the late stage. Recently, studies for the role of RhoA in the diseases have become a hot topic, especially in the development of tumors. A study found that RhoA can regulate actin polymerization, cell adhesion, motor-myosin, cell transformation, and the ability to participate in the activities of cell movement, proliferation, migration, which are closely related to the invasion and metastasis of tumor cells. However, the specific role of RhoA in tumor cells remains to be studied. Therefore, our current study aimed to briefly review the role of RhoA in GC, especially for its associated signaling pathways involved in the GC progression.

scholarly journals High Expression of KLF10 Is Associated with Favorable Survival in Patients with Oral Squamous Cell Carcinoma

Medicina ◽  
2020 ◽  
Vol 57 (1) ◽  
pp. 17
Author(s):  
Chung-Min Yeh ◽  
Yi-Ju Lee ◽  
Po-Yun Ko ◽  
Yueh-Min Lin ◽  
Wen-Wei Sung
Keyword(s):  
Survival Rate ◽  
Oral Cancer ◽  
Cancer Patients ◽  
Protective Factor ◽  
Female Gender ◽  
Vital Role ◽  
Cancer Stage ◽  
Independent Prognostic Marker ◽  
Oral Cancer Patients ◽  
The Impact

Background and objectives: Krüppel-like transcription factor 10 (KLF10) plays a vital role in regulating cell proliferation, including the anti-proliferative process, activation of apoptosis, and differentiation control. KLF10 may also act as a protective factor against oral cancer. We studied the impact of KLF10 expression on the clinical outcomes of oral cancer patients to identify its role as a prognostic factor in oral cancer. Materials and Methods: KLF10 immunoreactivity was analyzed by immunohistochemical (IHC) stain analysis in 286 cancer specimens from primary oral cancer patients. The prognostic value of KLF10 on overall survival was determined by Kaplan–Meier analysis and the Cox proportional hazard model. Results: High KLF10 expression was significantly associated with male gender and betel quid chewing. The 5-year survival rate was greater for patients with high KLF10 expression than for those with low KLF10 expression (62.5% vs. 51.3%, respectively; p = 0.005), and multivariate analyses showed that high KLF10 expression was the only independent factor correlated with greater overall patient survival. The significant correlation between high KLF10 expression and a higher 5-year survival rate was observed in certain subgroups of clinical parameters, including female gender, non-smokers, cancer stage T1, and cancer stage N0. Conclusions: KLF10 expression, detected by IHC staining, could be an independent prognostic marker for oral cancer patients.

scholarly journals Increasing Mean Age of Head and Neck Cancer Patients at a German Tertiary Referral Center

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 832
Author(s):  
Julius M. Vahl ◽  
Marlene C. Wigand ◽  
Michael Denkinger ◽  
Dhayana Dallmeier ◽  
Chiara Steiger ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Head And Neck ◽  
Neck Cancer ◽  
Catchment Area ◽  
Incidence Rates ◽  
Cancer Center ◽  
Tertiary Referral ◽  
Tertiary Referral Center ◽  
Referral Center ◽  
The Impact

Background: The impact of demographic change on the age at diagnosis in German head and neck cancer (HNC) patients is unclear. Here we present an evaluation of aging trends in HNC at a tertiary referral center. Methods: Retrospective cohort study on aging trends at the initial diagnosis of newly diagnosed patients with HNC between 2004 and 2018 at the head and neck cancer center Ulm in relation to demographic data of the catchment area. Results: The study population consisted of 2450 individuals diagnosed with HNC with a mean age of 62.84 (±11.67) years. We observed a significant increase in annual incidence rates and mean age over time. Mean age among HNC patients increased significantly more than among the population in the catchment area. Whereas the incidence rate of patients <50 years did not change, the incidence of HNC patients aged ≥70 years increased the most. The mean patient age in the main tumor sites increased significantly. Surprisingly, HPV-positive patients were not younger than HPV-negative patients, but showed a non-significant trend towards a higher mean age (63.0 vs. 60.7 years). Conclusions: Increasing incidence rates in older patients pose a challenge for health care systems. A nationwide study is needed to assess the dynamics and impact of aging on the incidence of HNC.

Perceptions of Ward Atmosphere on an Oncology Unit

1982 ◽  
Vol 11 (4) ◽  
pp. 331-340 ◽  
Author(s):  
William D. Alexy
Keyword(s):  
Cancer Research ◽  
Family Member ◽  
Multivariate Statistics ◽  
Treatment Program ◽  
Psychosocial Needs ◽  
Cancer Research Institute ◽  
Ward Atmosphere ◽  
Systems Maintenance ◽  
Oncology Unit ◽  
The Relationship

This study examined perceptions of ward atmosphere and ideal ward atmosphere by twenty patients, twenty-four staff, and fifteen family members on an oncology unit at a major cancer research institute. Specified preferences for an ideal ward atmosphere were assumed to reflect psychosocial needs of the three groups. Data were analyzed with multivariate statistics where it was found that perceptions of ward atmosphere differed for the three groups as did their perceptions of the amount of change needed to form an ideal ward atmosphere. This study was viewed as an initial and promising approach to assessing the compatibility of patient, family member, and staff needs along relationship, treatment program, and systems maintenance dimensions. It was believed that further studies of this type will increase the professional's understanding of the relationship between psychosocial needs and reponse to treatment.

BREAST CANCER DETECTION USING RSFS-BASED FEATURE SELECTION ALGORITHMS IN THERMAL IMAGES

2021 ◽  
pp. 2150020
Author(s):  
Nazila Darabi ◽  
Abdalhossein Rezai ◽  
Seyedeh Shahrbanoo Falahieh Hamidpour
Keyword(s):  
Breast Cancer ◽  
Feature Selection ◽  
Cancer Detection ◽  
Vital Role ◽  
Support Vector ◽  
Computer Aided Detection ◽  
K Nearest Neighbors ◽  
Cad System ◽  
Common Cancer ◽  
Selection Algorithms

Breast cancer is a common cancer in female. Accurate and early detection of breast cancer can play a vital role in treatment. This paper presents and evaluates a thermogram based Computer-Aided Detection (CAD) system for the detection of breast cancer. In this CAD system, the Random Subset Feature Selection (RSFS) algorithm and hybrid of minimum Redundancy Maximum Relevance (mRMR) algorithm and Genetic Algorithm (GA) with RSFS algorithm are utilized for feature selection. In addition, the Support Vector Machine (SVM) and k-Nearest Neighbors (kNN) algorithms are utilized as classifier algorithm. The proposed CAD system is verified using MATLAB 2017 and a dataset that is composed of breast images from 78 patients. The implementation results demonstrate that using RSFS algorithm for feature selection and kNN and SVM algorithms as classifier have accuracy of 85.36% and 75%, and sensitivity of 94.11% and 79.31%, respectively. In addition, using hybrid GA and RSFS algorithm for feature selection and kNN and SVM algorithms as classifier have accuracy of 83.87% and 69.56%, and sensitivity of 96% and 81.81%, respectively, and using hybrid mRMR and RSFS algorithms for feature selection and kNN and SVM algorithms as classifier have accuracy of 77.41% and 73.07%, and sensitivity of 98% and 72.72%, respectively.

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