ABSTRACT
Circulating tumor cells (CTC) are considered metastatic precursors that are shed from the primary or metastatic deposits and navigate the bloodstream before undergoing extravasation to establish distant metastases. Metabolic reprogramming appears to be a hallmark of metastatic progression, yet current methods for evaluating metabolic heterogeneity within organ-specific metastases in vivo are limited. To overcome this challenge, we present Biofluorescence Imaging-Guided Spatial Metabolic Tracing (BIGSMT), a novel approach integrating in vivo biofluorescence imaging, stable isotope tracing, stain-free laser capture microdissection, and liquid chromatography-mass spectrometry. This innovative technology obviates the need for staining or intricate sample preparation, mitigating metabolite loss, and substantially enhances detection sensitivity and accuracy through chemical derivatization of polar metabolites in central carbon pathways. Application of BIGSMT to a preclinical CTC-mediated metastasis mouse model revealed significant heterogeneity in the in vivo carbon flux from glucose into glycolysis and the tricarboxylic acid (TCA) cycle across distinct metastatic sites. Our analysis indicates that carbon predominantly enters the TCA cycle through the enzymatic reaction catalyzed by pyruvate dehydrogenase. Thus, our spatially resolved BIGSMT technology provides fresh insights into the metabolic heterogeneity and evolution during melanoma CTC-mediated metastatic progression and points to novel therapeutic opportunities.
ABSTRACT
Metabolic reprogramming is a defining hallmark of cancer metastasis, warranting thorough exploration. The tumor-promoting function of the "Warburg Effect", marked by escalated glycolysis and restrained mitochondrial activity, is widely acknowledged. Yet, the functional significance of mitochondria-mediated oxidative phosphorylation (OXPHOS) during metastasis remains controversial. Circulating tumor cells (CTCs) are considered metastatic precursors that detach from primary or secondary sites and harbor the potential to seed distant metastases through hematogenous dissemination. A comprehensive metabolic characterization of CTCs faces formidable obstacles, including the isolation of these rare cells from billions of blood cells, coupled with the complexities of ex vivo-culturing of CTC lines or the establishment of CTC-derived xenograft models (CDX). This review summarized the role of the "Warburg Effect" in both tumorigenesis and CTC-mediated metastasis. Intriguingly, bioinformatic analysis of single-CTC transcriptomic studies unveils a potential OXPHOS dominance over Glycolysis signature genes across several important cancer types. From these observations, we postulate a potential "Anti-Warburg Effect" (AWE) in CTCs-a metabolic shift bridging primary tumors and metastases. The observed AWE could be clinically important as they are significantly correlated with therapeutic response in melanoma and prostate patients. Thus, unraveling dynamic metabolic regulations within CTC populations might reveal an additional layer of regulatory complexities of cancer metastasis, providing an avenue for innovative anti-metastasis therapies.
ABSTRACT
Accurate delineation of plant cell organelles from electron microscope images is essential for understanding subcellular behaviour and function. Here we develop a deep-learning pipeline, called the organelle segmentation network (OrgSegNet), for pixel-wise segmentation to identify chloroplasts, mitochondria, nuclei and vacuoles. OrgSegNet was evaluated on a large manually annotated dataset collected from 19 plant species and achieved state-of-the-art segmentation performance. We defined three digital traits (shape complexity, electron density and cross-sectional area) to track the quantitative features of individual organelles in 2D images and released an open-source web tool called Plantorganelle Hunter for quantitatively profiling subcellular morphology. In addition, the automatic segmentation method was successfully applied to a serial-sectioning scanning microscope technique to create a 3D cell model that offers unique views of the morphology and distribution of these organelles. The functionalities of Plantorganelle Hunter can be easily operated, which will increase efficiency and productivity for the plant science community, and enhance understanding of subcellular biology.
Subject(s)
Deep Learning , Microscopy, Electron , Cell Nucleus , Mitochondria , ChloroplastsABSTRACT
INTRODUCTION: Congenital meningoencephalocele is a herniation of brain and meninges through a skull base defect. It may result not only in neural defects, sensorimotor deficits, neurological morbidities, visual impairment, impaired nasal function, and a potential risk of intracranial infection. Goals of surgery include removal or repositioning of nonfunctional cerebral tissue, closure of the dura, and reconstruction of skeletal and cutaneous structures. MATERIALS AND METHODS: The authors present the case of a 4-months-old infant who was found to have a frontoethmoidal encephalomeningocele that was only discovered after birth, the volume increased gradually. After multiple department discussions, the procedures were planned in 2-staged surgical protocol comprising of the first stage urgently performed by neurosurgeon and craniomaxillofacial surgeon, which aimed at removal or repositioning of nonfunctional cerebral tissue, closure of the dura, and reconstruction of skeletal; then second stage was performed by plastic surgeon to correct craniofacial hard and soft tissue deformities. RESULTS AND CONCLUSIONS: The surgical procedures for frontoethmoidal encephalomeningocele are complicated, particularly for the infant. In order to achieve the final surgical purpose, it needs multiple department cooperation to make the surgical plans.
Subject(s)
Jaw Abnormalities , Meningocele , Plastic Surgery Procedures , Encephalocele/diagnostic imaging , Encephalocele/surgery , Frontal Bone/abnormalities , Frontal Bone/surgery , Humans , Infant , Jaw Abnormalities/surgery , Meningocele/diagnostic imaging , Meningocele/surgery , Nose/surgery , Plastic Surgery Procedures/methodsABSTRACT
The hypoxia inducible factor 1 α (HIF-1α) activity has been associated with various hemorrhagic events. The biological role of HIF-1α in the hemorrhagic transformation of pituitary adenomas remains unknown. We hypothesized that fast growing tumor cells tend to predispose themselves to sublethal hypoxia and activate the HIF-1α signaling pathway, leading to hemorrhagic transformation in pituitary adenomas. Here, we used apoplectic and non-apoplectic pituitary adenomas to determine the involvement of HIF-1α signaling in intratumoral hemorrhage. We employed HIF-1α overexpression/knockdown strategies to examine the association between HIF-1α signaling and hemorrhagic presentation in vitro and in vivo. In support of our hypothesis, compared with non-hemorrhagic pituitary adenomas, higher cellular proliferation was observed in hemorrhagic ones and it correlated with increased HIF-1α signaling. HIF-1α overexpression activated its downstream genes, vascular endothelial growth factor and the proapoptotic BNIP3, in MMQ pituitary adenoma cells and this up-regulation was attenuated by HIF-1 siRNA. In vivo studies using MMQ cell xenografts in nude mice showed that HIF-1α overexpression significantly promoted hemorrhagic transformation. Our study indicates that tumor hypoxia, following rapid tumor growth, may promote hemorrhagic transformation in pituitary adenomas via the HIF-1α signaling pathway.