Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture-Reference-Cited by-同舟云学术

Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture

Published:2024-05 Issue:3 Volume:11 Page:101087
ISSN:2352-3042
Container-title:Genes & Diseases
language:en
Short-container-title:Genes & Diseases

Author:

Mao Yukun,Hou Xueying,Fu Su,Luan Jie

Funder

National Key Clinical Specialty Discipline Construction Program of China

Publisher

Elsevier BV

Subject

Cell Biology,Genetics (clinical),Molecular Biology,Biochemistry

Reference44 articles.

1. Systematic review and meta-analysis of complications following mastectomy and prosthetic reconstruction in patients with and without prior breast augmentation;Chicco;Aesthetic Surg J,2021

2. Impact of contralateral symmetry procedures on long-term patient-reported outcomes following unilateral prosthetic breast reconstruction;Razdan;J Reconstr Microsurg,2019

3. Core Clinical Study Group ASBIUS. Natrelle round silicone breast implants: core Study results at 10 years;Spear;Plast Reconstr Surg,2014

4. Ten-year results from the Natrelle 410 anatomical form-stable silicone breast implant core study;Maxwell;Aesthetic Surg J,2015

5. The composition and behavior of capsules around smooth and textured breast implants in pigs;Minami;Plast Reconstr Surg,2006

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Immunological profile of lactylation-related genes in Crohn’s disease: a comprehensive analysis based on bulk and single-cell RNA sequencing data;Journal of Translational Medicine;2024-03-23

2. Immune Escape and Metabolic Reprogramming in Colon Cancer: Insights from Endocytosis-Related Genes;BIO Web of Conferences;2024

3. Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer;Advances in Cancer Research;2024