Publications by authors named "Shenhui Deng"
Article Synopsis
- This study focused on identifying key genes and metrics from genomic DNA sequencing to predict the effectiveness of neoadjuvant chemotherapy in rectal cancer patients.
- Researchers analyzed DNA from cancer tissues and plasma of 16 patients, looking at various gene variations to differentiate responses to chemotherapy.
- Key findings included that certain genes (like EGFR and HSP90AA1) were linked to better chemotherapy responses, and a predictive score for chemotherapy efficacy could be useful for patient prognosis.
Colon cancer is one of the most common cancer types, although it has certain unique genetic features. This study aimed to develop a unique score for assessing prognosis and immunotherapy efficacy using integrated multi-omics analysis. Isobaric tagging for relative and absolute quantification (iTRAQ) based proteomic analysis was used to screen differentially expressed proteins (DEP) between tumor and normal samples.
View Article and Find Full Text PDFBackground: This study aimed to establish a novel quantification system of ferroptosis patterns and comprehensively analyze the relationship between ferroptosis score (FS) and the immune cell infiltration (ICI) characterization, tumor mutation burden (TMB), prognosis, and therapeutic sensitivity in left-sided and right-sided colon cancers (LCCs and RCCs, respectively).
Methods: We comprehensively evaluated the ferroptosis patterns in 444 LCCs and RCCs based on 59 ferroptosis-related genes (FRGs). The FS was constructed to quantify ferroptosis patterns by using principal component analysis algorithms.
Background: The left-sided and right-sided colon cancer (LCCs and RCCs, respectively) have unique molecular features and clinical heterogeneity. This study aimed to identify the characteristics of immune cell infiltration (ICI) subtypes for evaluating prognosis and therapeutic benefits.
Methods: The independent gene datasets, corresponding somatic mutation and clinical information were collected from The Cancer Genome Atlas and Gene Expression Omnibus.
Article Synopsis
- The study aimed to create a prognostic risk model centered on differential genomic instability-associated long non-coding RNAs (lncRNAs) specifically for left-sided and right-sided colon cancers.
- Utilizing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, researchers identified 123 lncRNAs and focused on six key lncRNAs through statistical analyses to establish a differential risk model.
- Findings showed that patients in the high-risk group had worse prognoses than those in the low-risk group, with variations in immune cell infiltration and pathways related to genetic instability and immunity, suggesting potential therapeutic implications.
Cancer stem cells (CSCs) are sparks for igniting tumor recurrence and the instigators of low response to immunotherapy and drug resistance. As one of the important components of tumor microenvironment, the tumor associated immune microenvironment (TAIM) is driving force for the heterogeneity, plasticity and evolution of CSCs. CSCs create the inhibitory TAIM (ITAIM) mainly through four stemness-related signals (SRSs), including Notch-nuclear factor-κB axis, Hedgehog, Wnt and signal transducer and activator of transcription.
View Article and Find Full Text PDFBackground: Colon adenocarcinoma (COAD) can be divided into left-sided and right-sided COAD (LCCs and RCCs, respectively). They have unique characteristics in various biological aspects, particularly immune invasion and prognosis. The purpose of our study was to develop a prognostic risk scoring model (PRSM) based on differentially expressed immune-related genes (IRGs) between LCCs and RCCs, therefore the prognostic key IRGs could be identified.
View Article and Find Full Text PDFBackground: This study aimed to explore the new factors that can predict central lymph node metastasis (CLNM) of papillary thyroid carcinoma (PTC) independently from ultrasound characteristics, elastic parameters, and endocrine indicators.
Methods: A total of 391 patients with PTC undergoing thyroidectomy and prophylactic central lymph node dissection from January 2017 to June 2019 were collected to determine the independent predictors of CLNM by single-factor and multivariate logistic regression analysis.
Results: Multivariate logistic regression analysis showed 9 independent predictors of CLNM, age, male, tumors in the middle or lower poles (without tumors in the isthmus), tumors in the isthmus, multiple tumors, and maximum tumor diameter measured by ultrasound, microcalcification, visible surrounding blood flow signal, and the maximum value of elastic modulus (Emax).