Association between serum leptin levels and breast cancer risk: An updated systematic review and meta-analysis
H Pan, LL Deng, JQ Cui, L Shi, YC Yang, JH Luo… - Medicine, 2018 - journals.lww.com
Background: Many studies have indicated that leptin is correlated with breast cancer
occurrence and tumor behavior. However, this issue remains controversial. Therefore, we …
occurrence and tumor behavior. However, this issue remains controversial. Therefore, we …
Cancer-cell-secreted miR-204-5p induces leptin signalling pathway in white adipose tissue to promote cancer-associated cachexia
Y Hu, L Liu, Y Chen, X Zhang, H Zhou, S Hu… - Nature …, 2023 - nature.com
Cancer-associated cachexia is a multi-organ weight loss syndrome, especially with a
wasting disorder of adipose tissue and skeletal muscle. Small extracellular vesicles (sEVs) …
wasting disorder of adipose tissue and skeletal muscle. Small extracellular vesicles (sEVs) …
[HTML][HTML] Adipocytokines visfatin and resistin in breast cancer: Clinical relevance, biological mechanisms, and therapeutic potential
YY Wang, AC Hung, S Lo, SSF Yuan - Cancer letters, 2021 - Elsevier
Obesity is one of the major modifiable risk factors in breast cancer, with obese adipose
tissue showing a pathological role in breast cancer development and malignancy via the …
tissue showing a pathological role in breast cancer development and malignancy via the …
Using Resistin, glucose, age and BMI to predict the presence of breast cancer
Background The goal of this exploratory study was to develop and assess a prediction
model which can potentially be used as a biomarker of breast cancer, based on …
model which can potentially be used as a biomarker of breast cancer, based on …
Breast cancer–detection system using PCA, multilayer perceptron, transfer learning, and support vector machine
This study proposed a new processing method to predict breast cancer on the basis of nine
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
individual attributes, including age, body mass index, glucose, insulin, and a homeostasis …
Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features
Breast cancer is one of the most prevalent types of cancers in females, which has become
rampant all over the world in recent years. The survival rate of breast cancer patients …
rampant all over the world in recent years. The survival rate of breast cancer patients …
Comparison of classification models for early prediction of breast cancer
MU Ghani, TM Alam, FH Jaskani - … International Conference on …, 2019 - ieeexplore.ieee.org
Breast cancer is the second most leading cause of women's death in America. To create an
accurate prediction model and analyze the remarkable risk factors, a data mining …
accurate prediction model and analyze the remarkable risk factors, a data mining …
Breast Cancer Screening Using Machine Learning Models
The main objective of this paper is the development of an Algorithm for Boolean Breast
Cancer Classification based on 116 patients with results by testing blood along with physical …
Cancer Classification based on 116 patients with results by testing blood along with physical …
Serum adiponectin in breast cancer: A meta-analysis
L Gu, C Cao, J Fu, Q Li, DH Li, MY Chen - Medicine, 2018 - journals.lww.com
Background: Accumulating data have found that adiponectin is involved in development of
breast cancer (BC). However, these results were inconsistent. Method: A systematic search …
breast cancer (BC). However, these results were inconsistent. Method: A systematic search …
Classification models for likelihood prediction of diabetes at early stage using feature selection
Purpose Diabetes is one of the life-threatening chronic diseases, which is already affecting
422m people globally based on (World Health Organization) WHO report as at 2018. This …
422m people globally based on (World Health Organization) WHO report as at 2018. This …