scholarly journals A review on breast cancer in Iraq and future therapies insights

2022 ◽  
Vol 3 (01) ◽  
pp. 3-15
Author(s):  
Nawfal Alrawi
Keyword(s):  
Breast Cancer ◽  
Anticancer Agents ◽  
Malignant Tumors ◽  
Breast Cancer Treatment ◽  
Cancer Type ◽  
Therapeutic Approaches ◽  
Medicinal Plant Extracts ◽  
The World ◽  
Iraqi Women ◽  
Periodic Examination

Cancer is one of the most common diseases around the world and the second leading cause of death after cardiovascular disease. Breast cancer is the most prevalent cancer type among Iraqi women, as it represents the highest percentage of malignant tumors in women until 2018. Therefore, women should be aware of the aggravation of this disease, the importance of the periodic examination for early detection for breast cancer, and following the most appropriate means for the treatment to get recovered and, thus, to reduce mortality. To fight cancer, there is an urgent need to search for new effective anticancer therapies that alter the molecular biology of tumor cells, stimulate the immune system, or specifically deliver chemotherapy factors directly to cancer cells without affecting normal cells and reducing the side effects of treatments. In this context, this paper aimed to highlight the therapeutic approaches used in the current researches of breast cancer treatment. Accumulated evidence showed that medicinal plant extracts, and can serve as anticancer agents. The proposed mechanisms were discussed and presented in this review.

General Information and Statistics

2001 ◽  
Vol 05 (20) ◽  
pp. 514-519
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Treatment ◽  
General Information ◽  
Infant Mortality Rate ◽  
Western China ◽  
Treatment Center ◽  
Training Center ◽  
The World ◽  
Science Minister ◽  
Set Up

Singapore Aims to be Regional Hub for Biomedical Research. Infant Mortality Rate Down in China. China's First Breast Cancer Treatment Center Established. Singapore Hunts for CEO of Biomedical Fund from Private Sector. Western China to Set Up Embryonic Transplantation Training Center. Appetite Pill Abused in Thailand. Taiwan Patents 41 Biochip Technology. NZ Science Minister to Promote Biotech in Singapore. Korea to Invest Heavily in Health Industry. Mad-Cow Disease Reported in Japan. Australia's CSIRO Ranked Top Five in the World.

scholarly journals HER2Ile655Val Polymorphism and Risk of Breast Cancer

2021 ◽  
Author(s):  
Tung Nguyen-Thanh ◽  
Thong Ba Nguyen ◽  
Thuan Dang-Cong
Keyword(s):  
Breast Cancer ◽  
Single Nucleotide Polymorphism ◽  
Malignant Tumors ◽  
Human Cancer ◽  
Breast Cancer Treatment ◽  
Vital Role ◽  
Nucleotide Polymorphism ◽  
Her2 Positive ◽  
Single Nucleotide ◽  
Susceptibility Factor

HER2 plays a vital role in the development and progression of several types of human cancer, so the HER2 becomes one of major targets for HER2-positive breast cancer treatment. Several reports have shown that the HER2 oncogene expression relates to clinicopathological factors in cancer patients. HER2Ile655Val single nucleotide polymorphism associates with malignant tumors, including prostate cancer, colorectal cancer, osteosarcoma, gastric cancer, uterine cervical carcinoma, fibroadenoma, and breast cancer. To understand the precise association, this chapter was described to estimate the association between HER2Ile655Val single nucleotide polymorphism and susceptibility to breast cancer. Our findings suggest that the Val allele in HER2 codon 655 single nucleotide polymorphism is strongly associated with the risk of breast cancer. HER2Ile655Val single nucleotide polymorphism might also be a susceptibility factor that favors early-onset breast cancer.

scholarly journals Recent advances in the medical treatment of breast cancer

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 2786 ◽  
Author(s):  
Daniel A. Vorobiof
Keyword(s):  
Breast Cancer ◽  
Clinical Trials ◽  
Medical Treatment ◽  
Breast Cancer Treatment ◽  
Chemotherapeutic Drugs ◽  
Therapeutic Approaches ◽  
The Past ◽  
New Therapeutic Approaches ◽  
Receptor Modulator ◽  
Medical Oncologists

Over the past few decades, the systemic therapy of breast cancer (early and advanced) has changed considerably. For the past 40–50 years, and since the discovery and further therapeutic use of tamoxifen, a selective estrogen receptor modulator, breast cancer treatment has become the model for the development and success of tailored medical treatment. Much still needs to be done in improving outcomes for all patients with breast cancer, and especially for those who have advanced breast cancer, a challenging area for medical oncologists. Ongoing international clinical trials are currently evaluating new therapeutic approaches and identifying specific biological subsets that could determine a patient’s ability to respond to particular chemotherapeutic drugs.

scholarly journals Adherence to the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) Guidelines of Women during Breast Cancer Treatment

2015 ◽  
Vol 29 (S1) ◽  
Author(s):  
Patricia Di Pietro ◽  
Thaiany Piazera Fanni Bavaresco ◽  
Rafaela Santos ◽  
Sheyla Liz ◽  
Alyne Cardoso ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
Cancer Treatment ◽  
Breast Cancer Treatment ◽  
Research Fund ◽  
American Institute ◽  
The World

scholarly journals An Efficient Cancer Prediction System using Ensemble Methods

2020 ◽  
Vol 9 (4) ◽  
pp. 627-630
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Malignant Tumors ◽  
Ensemble Methods ◽  
Fatty Tissue ◽  
Tumor Type ◽  
Prediction System ◽  
The World ◽  
Cancer Tumor ◽  
Human Death

Breast cancer is the most dreadful disease in the world in past few decades. Many women in the world has been affected due to this horrible disease and died. Breast cancer occurs in breast cells, the fatty tissue or the fibrous connective tissue in the breast. Breast cancer is malignant tumors tend to become progressively worse leading to death. Factors such as age genetic mutations and a family’s reordered history in breast cancer can increase the risk of breast cancer. Two types of tumors: Benign: this tumor type is not dangerous for a human body and rarely causes human death. Malignant: this tumor type is more dangerous and causes human death, it is called breast cancer. Machine learning was the boon technique in the fields of the medical industry. By the development of machine learning and data analytics a decision making tool can be made which helps in early detection and diagnosis of cancer tumor in women. This concept is to study and develop a decision based tool to eradicate breast cancer. The prediction system makes use of the ensemble algorithms to detect the cancer at earlier stage. It also differentiates the type of cancer from which the patient is being affected with effective accuracy.

Current advances in the diagnosis and personalized treatment of breast cancer: lessons from tumor biology

2020 ◽  
Vol 17 (5) ◽  
pp. 399-420 ◽  
Author(s):  
Rodrigo Kern ◽  
Stephany Christiane Correa ◽  
Thalita Basso Scandolara ◽  
Janaína Carla da Silva ◽  
Bruno Ricardo Pires ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Cancer Diagnosis ◽  
Tumor Biology ◽  
Breast Cancer Diagnosis ◽  
Breast Cancer Treatment ◽  
Point Of View ◽  
Diagnosis And Treatment ◽  
Therapeutic Approaches ◽  
Diagnosis And Prognosis

Breast cancer treatment has advanced enormously in the last decade. Most of this is due to advances reached in the knowledge regarding tumor biology, mainly in the field of diagnosis and treatment. This review brings information about how the genomics-based information contributed to advances in breast cancer diagnosis and prognosis perspective, as well as presents how tumor biology discoveries fostered the main therapeutic approaches available to treat such patients, based on a personalized point of view.

EPIDEMIOLOGY AND SCREENING FOR BREAST CANCER

2017 ◽  
Vol 63 (3) ◽  
pp. 375-384
Author(s):  
Vladimir Semiglazov ◽  
Vakhtang Merabishvili ◽  
Vladislav Semiglazov ◽  
Aleksandr Komyakhov ◽  
Yevgeniy Demin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Malignant Tumors ◽  
Cancer Control ◽  
Scientific Publication ◽  
Healthy Population ◽  
Steady Growth ◽  
The World ◽  
Breast Cancer Epidemiology ◽  
Effective Program ◽  
Iarc Scientific Publication

To our estimations annually breast cancer is registered in more than 2 million women in the world (1018% of all malignant tumors). According to the latest edition of the IARC “Cancer in 5 continents” (V. X, IARC Scientific Publication №164) the maximum standardized rate is recorded over 100 0/0000 in Belgium, Italy and France. The minimum standardized rate (less than 40 0/0000) is marked in Cuba, Turkey and Ukraine. Paying attention to the steady growth of primary cases of breast cancer in the world that are in the first place in the structure of cancer, one of the main tasks of cancer control becomes mass periodic examinations of healthy population to detect latent cancer in such stage when it can be cured completely. The purpose of the study is to investigate breast cancer epidemiology at the present stage and to develop an effective program for breast cancer secondary prevention. Materials and methods. In order to perform the study for the preventive realization there were selected the most suitable methods of mass screening of practically healthy women, modified software accumulation, collection and analysis of data, conducted pilot development on the basis of out-patient departments and the Oncology Center of the Moscow District of St. Petersburg.

Bayesian Generalized Linear Mixed Modeling of Breast Cancer

2020 ◽  
Author(s):  
Ogunsakin ROPO EBENEZER ◽  
Siaka LOUGUE
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Educational Level ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Random Effect ◽  
Breast Cancer Treatment ◽  
Cancer Type ◽  
Reduce Mortality Rate ◽  
Cancer Data

Background: Breast cancer is one of the most common cancers among women. Breast cancer treatment strategies in Nigeria need urgent strengthening to reduce mortality rate because of the disease. This study aimed to determine the relationship between the ages at diagnosis and established the prognostic factors of modality of treatment given to breast cancer patient in Nigeria. Methods: The data was collected for 247 women between years 2011-2015 who had breast cancer in two different hospitals in Ekiti State, Nigeria. Model estimation is based on Bayesian approach via Markov Chain Monte Carlo. A multilevel model based on generalized linear mixed model is used to estimate the random effect. Results: The mean age of the patients (at the time of diagnosis) was 42.2 yr with 52% of the women aged between 35-49 yr. The results of the two approaches are almost similar but preference is given to Bayesian because the approach is more robust than the frequentist. Significant factors of treatment modality are age, educational level and breast cancer type. Conclusion: Differences in socio-demographic factors such as educational level and age at diagnosis significantly influence the modality of breast cancer treatment in western Nigeria. The study suggests the use of Bayesian multilevel approach in analyzing breast cancer data for the practicality, flexibility and strength of the method.

Recent advances in diagnostic and therapeutic approaches for breast cancer: A comprehensive review

2021 ◽  
Vol 27 ◽  
Author(s):  
Fatima Noor ◽  
Ayesha Noor ◽  
Ali Raza Ishaq ◽  
Iqra Farzeen ◽  
Muhammad Hamzah Saleem ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Options ◽  
Review Article ◽  
Cancer Development ◽  
Therapeutic Approaches ◽  
Diagnostic Biomarkers ◽  
Comprehensive Review ◽  
The World ◽  
Genetic And Environmental Factors ◽  
Medical Task

: A silent monster breast cancer is a challenging medical task for researchers. Breast cancer is a leading cause of death in women related to other cancers. A case of breast cancer is diagnosed among women every 19 seconds, and every 74 seconds a women dies of breast cancer somewhere in the world. Several risk factors such as genetic and environmental factors favor breast cancer development. This review tends to provide deep understandings regarding the genetics of breast cancer along with multiple diagnostic and therapeutic approaches as problem-solving negotiators to switch off the progression of breast cancer. This assembled data mainly aims to discuss omics-based approaches to provide enthralling diagnostic biomarkers and emerging novel therapies to combat breast cancer. This review article intends to pave a new path for the discovery of effective treatment options.

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