Orchestrating Cellular Balance: ncRNAs and RNA Interactions at the Dominant of Autophagy Regulation in Cancer.

Autophagy, a complex and highly regulated cellular process, is critical for the maintenance of cellular homeostasis by lysosomal degradation of cellular debris, intracellular pathogens, and dysfunctional organelles. It has become an interesting and attractive topic in cancer because of its dual role as a tumor suppressor and cell survival mechanism. As a highly conserved pathway, autophagy is strictly regulated by diverse non-coding RNAs (ncRNAs), ranging from short and flexible miRNAs to lncRNAs and even circRNAs, which largely contribute to autophagy regulatory networks via complex RNA interactions. The potential roles of RNA interactions during autophagy, especially in cancer procession and further anticancer treatment, will aid our understanding of related RNAs in autophagy in tumorigenesis and cancer treatment. Herein, we mainly summarized autophagy-related mRNAs and ncRNAs, also providing RNA-RNA interactions and their potential roles in cancer prognosis, which may deepen our understanding of the relationships between various RNAs during autophagy and provide new insights into autophagy-related therapeutic strategies in personalized medicine.

Deciphering the Enigmatic Influence: Non-Coding RNAs Orchestrating Wnt/ß-Catenin Signaling Pathway in Tumor Progression.

Dysregulated expression of specific non-coding RNAs (ncRNAs) has been strongly linked to tumorigenesis, cancer progression, and therapeutic resistance. These ncRNAs can act as either oncogenes or tumor suppressors, thereby serving as valuable diagnostic and prognostic markers. Numerous studies have implicated the participation of ncRNAs in the regulation of diverse signaling pathways, including the pivotal Wnt/ß-catenin signaling pathway that is widely acknowledged for its pivotal role in embryogenesis, cellular proliferation, and tumor biology control. Recent emerging evidence has shed light on the capacity of ncRNAs to interact with key components of the Wnt/ß-catenin signaling pathway, thereby modulating the expression of Wnt target genes in cancer cells. Notably, the activity of this pathway can reciprocally influence the expression levels of ncRNAs. However, comprehensive analysis investigating the specific ncRNAs associated with the Wnt/ß-catenin signaling pathway and their intricate interactions in cancer remains elusive. Based on these noteworthy findings, this review aims to unravel the intricate associations between ncRNAs and the Wnt/ß-catenin signaling pathway during cancer initiation, progression, and their potential implications for therapeutic interventions. Additionally, we provide a comprehensive overview of the characteristics of ncRNAs and the Wnt/ß-catenin signaling pathway, accompanied by a thorough discussion of their functional roles in tumor biology. Targeting ncRNAs and molecules associated with the Wnt/ß-catenin signaling pathway may emerge as a promising and effective therapeutic strategy in future cancer treatments.

Relations Between Posttraumatic Growth and Fear of Progression Among Young and Middle-Aged Primary Brain Tumor Patients: The Parallel Mediating Role of Perceived Social Support and Illness Uncertainty.

OBJECTIVE: This study aimed to investigate the mediating role of perceived social support and illness uncertainty in posttraumatic growth (PTG) and fear of progression (FoP) among young and middle-aged primary brain tumor (PBT) patients. METHODS: A total of 252 young and middle-aged benign PBT patients were investigated. Data were collected by using self-designed general and disease-related data questionnaires, PTG Inventory, FoP Questinaire-Short Form, Mischel Uncertainty in Illness Scale, and Perceived Social Support Scale. Parallel mediation effect models were used to explore the relationship between PTG and FoP mediation effects. Bootstrap analysis was conducted to examine the mediation effect of PTG on FoP. RESULTS: The total FoP and PTG scores were 35.15 ± 4.85 and 55.04 ± 7.86. Furthermore, mediation effect analyses revealed that perceived social support and illness uncertainty were partially associated with the mediated relationship between PTG and FoP. (std.ß = -0.026, P-value = 0.001, std. ß = -0.393, P value ＜0.001, respectively). CONCLUSIONS: Illness uncertainty and perceived social support were identified as partially parallel mediators between PTG and FoP. Thus, we should ensure adequate social support and improve the enthusiasm and input of family members for better patient recovery. Strengthening the nursing support, reducing the uncertainty of young and middle-aged PBT patients, and improving the patients' PTG can help reduce the fear of disease progression.

Influencing factors of kinesiophobia among stroke patients with hemiplegia: A mixed methods study.

OBJECTIVES: There is a scarcity of data regarding the effects of kinesiophobia on stroke patients with hemiplegia. Therefore, this paper aims to evaluate the level of kinesiophobia experienced by stroke patients with hemiplegia in China, examine the elements that influence it, and investigate the unique psychological experience of kinesiophobia combined with a qualitative study. METHODS: This mixed study was conducted in two steps. Four approved scales were used to evaluate a total of 163 patients: (i) Tampa Scale of Kinesiophobia, (ii) Pain Catastrophizing Scale, (iii) Self-Efficacy for Exercise Scale, and (iv) Hospital Anxiety and Depression Scale. A multivariate linear regression model was used to evaluate the predictors of kinesiophobia in stroke patients with hemiplegia. Subsequently, semi-structured interviews with 15 stroke patients with hemiplegia were conducted using an objective sampling method, and the Colaizzi 7-step analysis process was utilized to analyze the interview data. RESULTS: A total of 163 stroke patients with hemiplegia were included in this study, of them, 47.9% reported kinesiophobia. Multiple linear regression revealed that the influencing factors of kinesiophobia in stroke patients with hemiplegia were a history of falls, exaggeration, helplessness, anxiety, depression, and low exercise self-efficacy (P<0.05). The qualitative research focuses on two main topics: personal adoption of negative coping styles and insufficient external support. CONCLUSION: Our study showed that the kinesiophobia in stroke patients with hemiplegia was high, with several factors influencing their kinesiophobia. Some of these factors are modifiable and should be considered when formulating kinesiophobia intervention strategies for stroke patients with hemiplegia.

Status and Influencing Factors of Body Image Disturbance in Patients With Hemifacial Spasm: A Quantitative and Qualitative Study.

OBJECTIVE: Patients diagnosed with hemifacial spasm (HFS) often experience significant facial changes that affect their body image and potentially have a negative impact on their physical and psychological well-being. This study therefore seeks to identify the current state of body image of Chinese patients with HFS, analyze the factors that influence it, and further explore their experiences based on their level of body image disturbance (BID) using a mixed methods approach. METHODS: A mixed-methods study was conducted between January 2021 and June 2023. Phase I encompassed the completion of questionnaires by 124 participants. Subsequently, in Phase II, in-depth interviews were conducted with 15 individuals selected from Phase I to gain deeper insights into their specific experiences with BID. RESULTS: Patients afflicted with HFS achieved Body Image Scale scores 9.00 (0.00, 12.00). Age, anxiety, depression, and fear of negative evaluation were identified as predictors of exacerbated BID (P < 0.05). Qualitative research predominantly centered on 2 primary themes: the experiences and outward manifestations of BID in HFS patients. These individuals expressed dissatisfaction with their appearance, apprehensions about being the focus of attention, and instances of social avoidance. CONCLUSIONS: Owing to varying degrees of anxiety, depression, and apprehension about external evaluation, individuals grappling with HFS are susceptible to experiencing BID. Consequently, when devising interventions, it is imperative to conduct a comprehensive assessment of the patient's condition and implement targeted measures aimed at ameliorating body image, ultimately enhancing the overall quality of life for the patient.

CSSLdb: Discovery of cancer-specific synthetic lethal interactions based on machine learning and statistic inference.

Synthetic lethality (SL) occurs when the inactivation of two genes results in cell death while the inactivation of either gene alone is non-lethal. SL-based therapy has become a promising anti-cancer treatment option with the increasing researches and applications in clinical practice, while the specific therapeutic opportunities for various cancers have not yet been comprehensively investigated. Herein, we described a computational approach based on machine learning and statistical inference to discover the cancer-specific synthetic lethal interactions. First, Random Forest and One-Class SVM were used to perform cancer unbiased prediction of synthetic lethality. Then, two strategies, including mutual exclusivity and differential expression, were used to screen cancer-specific synthetic lethal interactions, resulting in 14,582 SL gene pairs in 33 cancer types. Finally, we developed a freely available database of CSSLdb (Cancer Specific Synthetic Lethality Database, http://www.tmliang.cn/CSSL/) to present cancer-specific synthetic lethal genetic interactions, which would enrich the relevant research and contribute to underlying therapy strategies based on synthetic lethality.

Advances in therapeutic cancer vaccines: Harnessing immune adjuvants for enhanced efficacy and future perspectives.

Preventive cancer vaccines are highly effective in preventing viral infection-induced cancer, but advances in therapeutic cancer vaccines with a focus on eliminating cancer cells through immunotherapy are limited. To develop therapeutic cancer vaccines, the integration of optimal adjuvants is a potential strategy to enhance or complement existing therapeutic approaches. However, conventional adjuvants do not satisfy the criteria of clinical trials for therapeutic cancer vaccines. To improve the effects of adjuvants in therapeutic cancer vaccines, effective vaccination strategies must be formulated and novel adjuvants must be identified. This review offers an overview of the current advancements in therapeutic cancer vaccines and highlights in situ vaccination approaches that can be synergistically combined with other immunotherapies by harnessing the adjuvant effects. Additionally, the refinement of adjuvant systems using cutting-edge technologies and the elucidation of molecular mechanisms underlying immunogenic cell death to facilitate the development of innovative adjuvants have been discussed.

Unleashing the Power of Synthetic Lethality: Augmenting Treatment Efficacy through Synergistic Integration with Chemotherapy Drugs.

Cancer is the second leading cause of death in the world, and chemotherapy is one of the main methods of cancer treatment. However, the resistance of cancer cells to chemotherapeutic drugs has always been the main reason affecting the therapeutic effect. Synthetic lethality has emerged as a promising approach to augment the sensitivity of cancer cells to chemotherapy agents. Synthetic lethality (SL) refers to the specific cell death resulting from the simultaneous mutation of two non-lethal genes, which individually allow cell survival. This comprehensive review explores the classification of SL, screening methods, and research advancements in SL inhibitors, including Poly (ADP-ribose) polymerase (PARP) inhibitors, Ataxia telangiectasia and Rad3-related (ATR) inhibitors, WEE1 G2 checkpoint kinase (WEE1) inhibitors, and protein arginine methyltransferase 5 (PRMT5) inhibitors. Emphasizing their combined use with chemotherapy drugs, we aim to unveil more effective treatment strategies for cancer patients.

Characterization of Immune-Based Molecular Subtypes and Prognostic Model in Prostate Adenocarcinoma.

Prostate adenocarcinoma (PRAD), also named prostate cancer, the most common visceral malignancy, is diagnosed in male individuals. Herein, in order to obtain immune-based subtypes, we performed an integrative analysis to characterize molecular subtypes based on immune-related genes, and further discuss the potential features and differences between identified subtypes. Simultaneously, we also construct an immune-based risk model to assess cancer prognosis. Our findings showed that the two subtypes, C1 and C2, could be characterized, and the two subtypes showed different characteristics that could clearly describe the heterogeneity of immune microenvironments. The C2 subtype presented a better survival rate than that in the C1 subtype. Further, we constructed an immune-based prognostic model based on four screened abnormally expressed genes, and they were selected as predictors of the robust prognostic model (AUC = 0.968). Our studies provide reference for characterization of molecular subtypes and immunotherapeutic agents against prostate cancer, and the developed robust and useful immune-based prognostic model can contribute to cancer prognosis and provide reference for the individualized treatment plan and health resource utilization. These findings further promote the development and application of precision medicine in prostate cancer.