scholarly journals Application of proteome profiling in the clinical diagnosis of breast cancer

Author(s):  
Priyanti Chakraborty ◽  
Ankita Samanta

The early diagnosis, prognosis, and anticipation of breast cancer are crucial for proper treatment and patient survival. This disease imposes quite a severe health care encumbrance on women globally. Breast cancer classification has emphasized several global efforts, and analysis of the subtypes of the molecular basis of breast cancer has aimed to associate them with clinical outcomes and improve the current diagnostic routine. Since the last two decades, proteomics-based methods for studying breast cancer's natural history and treatment are gaining traction. In this review, some of the proteome profiling studies of tissues, plasma, serum and saliva conducted mainly by mass spectrometry-based approaches – including MALDI-TOF and SELDI-TOF are discussed. This review also emphasized tissue microarray studies and their role in identifying clinical tissues and markers in breast cancer.

2019 ◽  
Author(s):  
Sefonias Getachew ◽  
Aragaw Tesfaw ◽  
Mirgissa Kaba ◽  
Andreas Wienke ◽  
Lesley Taylor ◽  
...  

Abstract Background Early diagnosis is a key determinant of breast cancer prognosis and survival. More than half of breast cancer cases are diagnosed at an advanced stage in Ethiopia, and the barriers to early diagnosis in this country are not well understood. We aimed to identify the perceived barriers to early diagnosis of breast cancer from the perspective of patients and health care providers in south and southwestern Ethiopia. Methods A qualitative study was conducted from March to April 2018 using in-depth interviews of breast cancer patients and breast cancer health care providers from six public hospitals located in urban and rural areas of south and southwestern Ethiopia. All participants proved verbal consent before participating. A thematic analysis was performed using Open Code 4.02. Results Twelve breast cancer patients and thirteen health care providers were included in the study. Patient and health-system related barriers to early diagnosis of breast cancer were identified. Patient-related barriers were lack of knowledge and awareness of breast cancer, belief in traditional medicine and religious practices for treatment, and lack of social and financial support to seek care at a medical facility. Health-system related barriers were misdiagnosis of breast cancer, long distance to referral facilities, high cost of diagnostic services, long waiting time for diagnostic tests, and lack of screening and diagnostic tests in local facilities. Conclusions Early diagnosis of breast cancer is affected by multiple barriers in south and southwestern Ethiopia. Awareness campaigns and education about the disease, prevention, and early detection are needed to increase early diagnosis of breast cancer. Opportunities exist to improve early diagnosis and timely treatment in rural areas.


2019 ◽  
Author(s):  
Sefonias Getachew ◽  
Aragaw Tesfaw ◽  
Mirgissa Kaba ◽  
Andreas Wienke ◽  
Lesley Taylor ◽  
...  

Abstract Background Early diagnosis is a key determinant of breast cancer prognosis and survival. More than half of breast cancer cases are diagnosed at an advanced stage in Ethiopia, and the barriers to early diagnosis in this country are not well understood. We aimed to identify the perceived barriers to early diagnosis of breast cancer from the perspective of patients and health care providers in south and southwestern Ethiopia. Methods A qualitative study was conducted from March to April 2018 using in-depth interviews of breast cancer patients and breast cancer health care providers from six public hospitals located in urban and rural areas of south and southwestern Ethiopia. All participants proved verbal consent before participating. A thematic analysis was performed using Open Code 4.02. Results Twelve breast cancer patients and thirteen health care providers were included in the study. Patient and health-system related barriers to early diagnosis of breast cancer were identified. Patient-related barriers were lack of knowledge and awareness of breast cancer, belief in traditional medicine and religious practices for treatment, and lack of social and financial support to seek care at a medical facility. Health-system related barriers were misdiagnosis of breast cancer, long distance to referral facilities, high cost of diagnostic services, long waiting time for diagnostic tests, and lack of screening and diagnostic tests in local facilities. Conclusions Early diagnosis of breast cancer is affected by multiple barriers in south and southwestern Ethiopia. Awareness campaigns and education about the disease, prevention, and early detection are needed to increase early diagnosis of breast cancer. Opportunities exist to improve early diagnosis and timely treatment in rural areas.


2020 ◽  
Vol 16 (1) ◽  
pp. 25-32
Author(s):  
Basiroh Basiroh ◽  
Wiji Lestari

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts.  The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.


Sign in / Sign up

Export Citation Format

Share Document