RESUMO
BACKGROUND: The prognostic value of nutritional status in anaplastic thyroid carcinoma (ATC) remains unclear. The Prognostic Nutritional Index (PNI) is a reliable indicator of overall nutritional and immune status, and it has emerged as a significant prognostic factor in various malignancies. This study aimed to explore the utility of PNI in ATC. METHODS: We systematically reviewed ATC patients in our institute from January 2000 to June 2023 and categorized them into high and low PNI groups based on the median PNI value. Kaplan-Meier analysis and Cox regression were employed to assess the impact of PNI on overall survival, while ROC curve analysis evaluated the predictive value of PNI. Mimics software was used for three-dimensional reconstruction of pre- and post-immunotherapy tumor volumes, enabling the assessment of treatment response. RESULTS: A total of 77 ATC patients were included in this study. Low baseline PNI was associated with significantly shorter overall survival (1-year survival rate: 5.26% vs 30.77%; median survival time: 5.30 months vs 8.87 months). The 1-year, 2-year, and 3-year AUC values for PNI were 0.82, 0.79, and 0.77, respectively. In the multivariate analysis, both PNI and tumor size emerged as independent prognostic factors for patient overall survival. Among ATC patients receiving 2-3 cycles of immunotherapy, an increase in post-treatment PNI levels was positively correlated with a reduction in tumor volume. CONCLUSION: PNI is an independent predictor of overall survival and holds the potential to serve as a valuable indicator for assessing and predicting immunotherapy efficacy in ATC patients.
RESUMO
Background: Since the application of Immune checkpoint inhibitors (ICI), the clinical outcome for metastatic cancer has been greatly improved. Nevertheless, treatment response varies in patients, making it urgent to identify patients who will receive clinical benefits after ICI therapy. Adipose body composition has proved to be associated with tumor response. In this systematic review, we aimed to summarize the current evidence on imaging adipose biomarkers that predict clinical outcomes in patients treated with ICI in various cancer types. Methods: Embase and PubMed were searched from database inception to 1st February 2023. Articles included investigated the association between imaging-based adipose biomarkers and the clinical outcomes of patients treated with ICI. The methodological quality of included studies was evaluated through Newcastle- Ottawa Quality Assessment Scale and Radiomics Quality Score tools. Results: Totally, 22 studies including 2256 patients were selected. Non-small cell lung cancer (NSCLC) had the most articles (6 studies), followed by melanoma (5 studies), renal cell carcinoma (RCC) (3 studies), urothelial carcinoma (UC) (2 studies), head and neck squamous cell carcinoma (HNSCC) (1 study), gastric cancer (1 study) and liver cancer (1 study). The remaining 3 studies investigated metastatic solid tumors including various types of cancers. Adipose biomarkers can be summarized into 5 categories, including total fat, visceral fat, subcutaneous fat, intramuscular fat and others, which exerted diverse correlations with patients' prognosis after being treated with ICI in different cancers. Most biomarkers of body fat were positively associated with survival benefits. Nevertheless, more total fat was predictable of worse outcomes in NSCLC, while inter-muscular fat was associated with poor clinical benefits in UC. Conclusion: There is relatively well-supported evidence for imaging-based adipose biomarkers to predict the clinical outcome of ICI. In general, most of the studies show that adipose tissue is positively correlated with clinical outcomes. This review summarizes the significant biomarkers proven by researches for each cancer type. Further validation and large independent prospective cohorts are needed in the future. The protocol of this systematic review has been registered at the International Prospective Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO, registration no: CRD42023401986).
RESUMO
The next-generation androgen receptor (AR) inhibitor enzalutamide is the mainstay treatment for metastatic prostate cancer. Unfortunately, resistance occurs rapidly in most patients, and once resistance occurs, treatment options are limited. Therefore, there is an urgent need to identify effective targets to overcome enzalutamide resistance. Here, using a genome-wide CRISPR-Cas9 library screen, we found that targeting a glycolytic enzyme, phosphoglycerate mutase PGAM2, significantly enhanced the sensitivity of enzalutamide-resistant prostate cancer cells to enzalutamide both in vivo and in vitro. Inhibition of PGAM2 together with enzalutamide treatment triggered apoptosis by decreasing levels of the antiapoptotic protein BCL-xL and increasing activity of the proapoptotic protein BAD. Mechanistically, PGAM2 bound to 14-3-3ζ and promoted its interaction with phosphorylated BAD, resulting in activation of BCL-xL and subsequent resistance to enzalutamide-induced apoptosis. In addition, high PGAM2 expression, which is transcriptionally regulated by AR, was associated with shorter survival and rapid development of enzalutamide resistance in patients with prostate cancer. Together, these findings provide evidence of a nonmetabolic function of PGAM2 in promoting enzalutamide resistance and identify PGAM2 inhibition as a promising therapeutic strategy for enzalutamide-resistant prostate cancer. SIGNIFICANCE: PGAM2 promotes resistance to enzalutamide by activating antiapoptotic BCL-xL and suppressing apoptosis, indicating that PGAM2 is a potential target for overcoming enzalutamide resistance in prostate cancer.