The transsulfuration enzyme cystathionine-β-synthase (CBS) and its product hydrogen sulfide (H2S) are aberrantly upregulated in colorectal cancers, where they contribute to tumor growth and progression by both autocrine and paracrine mechanisms. However, it is unknown whether the CBS/H2S axis plays a role in colorectal carcinogenesis. Here, we report upregulation of CBS in human biopsies of precancerous adenomatous polyps and show that forced upregulation of CBS in an adenoma-like colonic epithelial cell line is sufficient to induce metabolic and gene expression profiles characteristic of colorectal cancer cells. Differentially expressed metabolites (65 increased and 20 decreased) clustered into the glycolytic pathway, nucleotide sugars, intermediates of the pentose phosphate pathway, and lipogenesis, including primarily phospholipids, sphingolipids, and bile acids. CBS upregulation induced broad changes in the NCM356 cell transcriptome with over 350 differentially expressed genes. These genes overlapped significantly with gene sets related to glycolysis, hypoxia, and a colon cancer cell phenotype, including genes regulated by NF-κB, KRAS, p53, and Wnt signaling, genes downregulated after E-cadherin knockdown, and genes related to increased extracellular matrix, cell adhesion, and epithelial-to-mesenchymal transition. The CBS-induced switch to an anabolic metabolism was associated with increased NCM356 cell bioenergetics, proliferation, invasion through Matrigel, resistance to anoikis, and CBS-dependent tumorigenesis in immune compromised mice. Genetic ablation of CBS in CBS heterozygous mice (CBS+/−) reduced the number of mutagen-induced aberrant colonic crypt foci. Taken together, these results establish that activation of the CBS/H2S axis promotes colon carcinogenesis.
Glioblastoma is an aggressive brain tumor with a propensity for intracranial recurrence. We hypothesized that tumors can be visualized with diffusion tensor imaging (DTI) before they are detected on anatomical magnetic resonance (MR) images. We retrospectively analyzed serial MR images from 30 patients, including the DTI and T1-weighted images at recurrence, at 2 months and 4 months before recurrence, and at 1 month after radiation therapy. The diffusion maps and T1 images were deformably registered longitudinally. The recurrent tumor was manually segmented on the T1-weighted image and then applied to the diffusion maps at each time point to collect mean FA, diffusivities, and neurite density index (NDI) values, respectively. Group analysis of variance showed significant changes in FA (p = 0.01) and NDI (p = 0.0015) over time. Pairwise t tests also revealed that FA and NDI at 2 months before recurrence were 11.2% and 6.4% lower than those at 1 month after radiation therapy (p < 0.05), respectively. Changes in FA and NDI were observed 2 months before recurrence, suggesting that progressive microstructural changes and neurite density loss may be detectable before tumor detection in anatomical MR images. FA and NDI may serve as non-contrast MR-based biomarkers for detecting subclinical tumors.
Image-guided radiotherapy (IGRT) enables optimal tumor targeting and sparing of organs-at-risk, which ultimately results in improved outcomes for patients. Magnetic resonance imaging (MRI) revolutionized diagnostic imaging with its superior soft tissue contrast, high spatiotemporal resolution, and freedom from ionizing radiation exposure. Over the past few years there has been burgeoning interest in MR-guided radiotherapy (MRgRT) to overcome current challenges in X-ray-based IGRT, including but not limited to, suboptimal soft tissue contrast, lack of efficient daily adaptation, and incremental exposure to ionizing radiation. In this review, we present an overview of the technologic advancements in IGRT that led to MRI-linear accelerator (MRL) integration. Our report is organized in three parts: (1) a historical timeline tracing the origins of radiotherapy and evolution of IGRT, (2) currently available MRL technology, and (3) future directions and aspirations for MRL applications.
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