Likun Wang's research while affiliated with First Affiliated Hospital of China Medical University and other places
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Publications (6)
Objective:
This inquiry endeavors to delineate the influence of PDIA3 on tumor-associated macrophages within the realm of colorectal malignancies, whilst elucidating the intrinsic biochemical pathways.
Method:
Leveraging bioinformatics, we scrutinized the symbiosis between PDIA3, STAT3, and CD274. A xenograft model in immunodeficient murine serv...
Objectives
To develop and validate magnetic resonance imaging (MRI)-based pre-Radiomics and delta-Radiomics models for predicting the treatment response of local advanced rectal cancer (LARC) to neoadjuvant chemoradiotherapy (NCRT).
Methods
Between October 2017 and August 2022, 105 LARC NCRT-naïve patients were enrolled in this study. After carefu...
Objective: This study aims to explore the clinical significance of haptoglobin (HP) and protein disulfide-isomerase A3 (PDIA3) in human serum in the screening, diagnosis and staging of colorectal cancer (CRC), and to provide novel screening approaches featuring high specificity, sensitivity, and accuracy for early screening and diagnosis of clinica...
Objectives:
Our study aimed to develop and validate an efficient ultrasound image-based radiomic model for determining the Achilles tendinopathy in skiers.
Methods:
A total of 88 feet of skiers clinically diagnosed with unilateral chronic Achilles tendinopathy and 51 healthy feet were included in our study. According to the time order of enrollm...
Objective
This article investigated whether Runt-Related Transcription Factor 3 (RUNX3) and enhancer of zeste homolog 2 (EZH2) can be used to evaluate the clinical efficacy of neoadjuvant therapy and prognosis of locally advanced rectal cancer (LARC).
Methods
Eighty LARC patients admitted to the Tianjin Medical University Cancer Institute/Hospital...
MicroRNAs (miR) are single-stranded RNA of 21-23 nucleotides in length that repress mRNA translation and induces mRNA degradation. miR acts as an endogenous factor of gene expression and plays a crucial part in cancer biology such as cell development, proliferation, differentiation, and apoptosis. Numerous research has indicated that dysregulation...
Citations
... Comparing radiomics features from pre-and posttreatment scans provides information on microenvironment changes and may better predict response. This radiomics subfield has been identified to be predictive of treatment response in many types of cancer, including rectal adenocarcinoma [21] and gastric cancer [22]. To the best of our knowledge, no prior studies have explored the potential of CT delta-radiomics features in predicting pCR for ESCC patients subjected to nCRT. ...
... Emerging techniques in imaging, particularly the integration of artificial intelligence (AI), are revolutionizing the diagnosis of tendinopathies 52 . Convolutional neural networks (CNNs), a class of deep learning algorithms, are particularly promising in this regard. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/921395466891264-1596689206141_Q64/Zekun_Jiang.jpg)
... Cancer remains the main killer worldwide (1)(2)(3)(4). Esophageal cancer is the sixth most commonly diagnosed cancer worldwide and accounts for 450,000 deaths annually (5)(6)(7). China is among the countries with a high prevalence of esophageal cancer (8). ...
... Cancer poses a significant risk to human well-being, with lung cancer remaining among the most fatal malignancies globally [1][2][3][4][5][6]. The World Health Organization's International Agency for Research on Cancer released the most recent global cancer burden statistics in 2020, revealing a total of 9.96 million deaths caused by cancer. ...
