Non-invasive metabolic imaging of melanoma progression (Conference Presentation)

Author(s):  
Hauke Studier ◽  
Michael S. Roberts ◽  
Michael Pastore ◽  
Wolfgang Becker
2017 ◽  
Vol 26 (7) ◽  
pp. 607-614 ◽  
Author(s):  
Michael N. Pastore ◽  
Hauke Studier ◽  
Claudine S. Bonder ◽  
Michael S. Roberts

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2840-2840
Author(s):  
Huimin Geng ◽  
Brice Tiret ◽  
Hua-Xin Gao ◽  
Cigall Kadoch ◽  
Ming Lu ◽  
...  

Abstract To gain insights into the tumor microenvironment in primary and secondary CNS lymphomas, we applied LC/MS and GC/MS for differential metabolomic profiling of the cerebrospinal fluid (CSF) of CNS lymphoma patients compared to control subjects. Among 145 analytes identified, the majority were involved in energy metabolism; one of the most significantly upregulated metabolites in CNS lymphoma was lactate (1.8 fold, p<0.001). Subsequently we determined that baseline elevated CSF lactate, quantified by a Beckman Coulter Unicell Clinical Chemistry analyzer, correlated with short survival in three phase I investigations involving immunotherapy in relapsed CNS lymphoma (p<0.0001). (Blood Advances 2018). Given this, we hypothesize that tumor-associated lactate significantly contributes to the pathogenesis of CNS lymphoma as a potential mediator of tumor invasion as well as immunosuppression, and can serve as a novel biomarker in CNS lymphoma. To pursue this, we are testing the hypothesis that metabolic imaging techniques including proton magnetic resonance spectroscopy (MRS) and hyperpolarized (HP) 13C MRS can facilitate prognosis and response assessment to targeted therapies. Thus far we have applied these metabolic imaging approaches to preclinical murine models involving diffusely invasive, intracranial, patient-derived xenografts of CNS DLBCL in RAG-/- mice, to detect tumor-associated lactate production generated by infiltrating lymphoma. We demonstrated that each of these MRS approaches detect highly invasive lymphoma that is undetectable by conventional gadolinium-enhanced T1, T2 sequences, or diffusion-weighted imaging. Because of its ability to detect real-time changes in metabolic pathways, we focused on the application of HP13C pyruvate metabolic imaging as a non-invasive imaging tool for NF-kB pathway inhibition in CNS lymphoma using these models. We evaluated the metabolic response to AZ1495, a novel, CNS penetrant, orally-bioavailable inhibitor of IRAK4 kinase, comparing MYD88 wild type vs. MYD88 L265P mutant tumor models. Using a 14.1T imaging system for MR acquisition, we demonstrated similar tumor-associated production of HP 13C lactate in both MYD88wt and MY88 mutant tumors at 3 weeks post-implantation. We determined that while AZ1495 did not significantly impact lactate production in MYD88wt lymphoma, this agent significantly down-regulated tumor-associated HP pyruvate to lactate conversion (>47%) within 2 days in MYD88 mutant CNS lymphoma (p<0.02). (Figure 1). In parallel, we determined that AZ1495 potently antagonized phosphorylation of p65 REL-A selectively in intracranial xenografts harboring L265P MYD88 mutation. Transcriptional profiling by RNA-Seq demonstrated > 2-fold down-modulation of NF-kB gene expression at 4h of AZ1495 therapy, including transcripts encoding LDH-A as well as the catalytic subunit of PI3K, suggesting interaction with the B cell receptor pathway. Combination AZ1495 plus ibrutinib starting d+5 was synergistic in survival prolongation compared to AZ1495 monotherapy (p<0.003), ibrutinib monotherapy (p<0.005), or control gavage (p<0.002) in a MYD88 L265P mutant, clinically refractory patient-derived intracranial DLBCL xenograft model. Taken together, these data demonstrate the ability of HP13C MRI metabolic imaging to identify highly infiltrative CNS lymphoma, not detectable by conventional MR sequences, as well as its potential to provide an early, non-invasive pharmacodynamic biomarker of response in an NFkB pathway-specific manner, and to facilitate precision medicine in CNS lymphoma. Supported by the National Cancer Institute, the Leukemia and Lymphoma Society and by the Sandler Program for Breakthrough Biomedical Research. Disclosures Gao: Glaxo Smith Kline: Employment. Drew:AstraZeneca: Employment. Degorce:Astra Zeneca: Employment. Mayo:Astra Zeneca: Employment. Dillman:Astra Zeneca: Employment. Anjum:Astra Zeneca: Employment. Bloecher:Astra Zeneca: Employment. Rubenstein:Celgene: Research Funding; Genentech: Research Funding.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi42-vi42
Author(s):  
Pavithra Viswanath ◽  
Georgios Batsios ◽  
Anne Marie Gillespie ◽  
Russell O Pieper ◽  
Sabrina Ronen

Abstract Telomerase reverse transcriptase (TERT) expression is a hallmark of cancer, including in primary glioblastomas and low-grade oligodendrogliomas. Since TERT is essential for glioma proliferation and is an attractive therapeutic target, metabolic imaging of TERT status can inform on tumor progression and response to therapy. To that end, the goal of this study was to identify non-invasive, translational, hyperpolarized 13C-magnetic resonance spectroscopy-detectable metabolic imaging biomarkers of TERT in low-grade oligodendrogliomas. Unbiased metabolomic analysis of immortalized normal human astrocytes without (NHAcontrol) and with TERT (NHAtert) indicated that TERT induced unique metabolic reprogramming. Notably, TERT increased NADPH and NADH levels. Glucose flux through the pentose phosphate pathway (PPP) is a major producer of NADPH. Non-invasive imaging of PPP flux using hyperpolarized [U-13C,U-2H]-glucose indicated that production of the PPP metabolite 6-phosphogluconate (6-PG) was elevated in NHAtert cells relative to NHAcontrol. Importantly, hyperpolarized [U-13C,U-2H]-glucose flux to 6-PG clearly differentiated tumor from normal brain in orthotopic NHAtert tumor xenografts. Next, we exploited the observation that TERT expression increased NADH, which is essential for the metabolism of hyperpolarized [1-13C]-alanine to lactate. Lactate production from hyperpolarized [1-13C]-alanine was higher in NHAtert cells relative to NHAcontrol. Importantly, hyperpolarized [1-13C]-alanine imaging in orthotopic NHAtert tumors revealed pronounced differences in lactate production between tumor tissue and normal brain. Mechanistically, TERT increased expression of glucose-6-phosphate dehydrogenase (G6PDH), the rate-limiting enzyme for 6-PG and NADPH production, and of nicotinamide phosphoribosyltransferase (NAMPT), a rate-limiting enzyme for NADH biosynthesis. Silencing TERT reversed G6PDH and NAMPT expression and normalized hyperpolarized [U-13C,U-2H]-glucose and [1-13C]-alanine metabolism, validating our imaging biomarkers. Finally, hyperpolarized [U-13C,U-2H]-glucose and [1-13C]-alanine could monitor TERT status in the clinically relevant, patient-derived BT54 oligodendroglioma model. In summary, we demonstrate, for the first time, non-invasive in vivo imaging of TERT status in gliomas that can enable longitudinal analysis of tumor burden and treatment response in the clinic.


2019 ◽  
Author(s):  
Lau M Andersen ◽  
Karim Jerbi ◽  
Sarang S Dalal

The cerebellum plays a key role in the regulation of motor learning, coordination and timing, and has been implicated in sensory and cognitive processes as well. However, our current knowledge of its electrophysiological mechanisms comes primarily from direct recordings in animals, as investigations into cerebellar function in humans have instead predominantly relied on lesion, haemodynamic and metabolic imaging studies. While the latter provide fundamental insights into the contribution of the cerebellum to various cerebellar-cortical pathways mediating behaviour, they remain limited in terms of temporal and spectral resolution. In principle, this shortcoming could be overcome by monitoring the cerebellum’s electrophysiological signals. Non-invasive assessment of cerebellar electrophysiology in humans, however, is hampered by the limited spatial resolution of electroencephalography (EEG) and magnetoencephalography (MEG) in subcortical structures, i.e., deep sources. Furthermore, it has been argued that the anatomical configuration of the cerebellum leads to signal cancellation in MEG and EEG. Yet, claims that MEG and EEG are unable to detect cerebellar activity have been challenged by an increasing number of studies over the last decade. Here we address this controversy and survey reports in which neuromagnetic signals were successfully recorded from the human cerebellum. We argue that the detection of cerebellum activity non-invasively with MEG and EEG is indeed possible and can be enhanced with appropriate methods, in particular using connectivity analysis in source space. We provide illustrative examples of cerebellar activity detected with MEG and EEG. Furthermore, we propose practical guidelines to optimize the detection of cerebellar activity with MEG and EEG. Finally, we discuss MEG and EEG signal contamination that may lead to localizing spurious sources in the cerebellum and suggest ways of handling such artefacts. This review is to be read as a perspective review that highlights that it is indeed possible to measure cerebellum with MEG and EEG and encourages MEG and EEG researchers to do so. Its added value beyond highlighting and encouraging is that it offers useful advice for researchers aspiring to investigate the cerebellum with MEG and EEG.


2019 ◽  
Author(s):  
Lau M Andersen ◽  
Karim Jerbi ◽  
Sarang S Dalal

The cerebellum plays a key role in the regulation of motor learning, coordination and timing, and has been implicated in sensory and cognitive processes as well. However, our current knowledge of its electrophysiological mechanisms comes primarily from direct recordings in animals, as investigations into cerebellar function in humans have instead predominantly relied on lesion, haemodynamic and metabolic imaging studies. While the latter provide fundamental insights into the contribution of the cerebellum to various cerebellar-cortical pathways mediating behaviour, they remain limited in terms of temporal and spectral resolution. In principle, this shortcoming could be overcome by monitoring the cerebellum’s electrophysiological signals. Non-invasive assessment of cerebellar electrophysiology in humans, however, is hampered by the limited spatial resolution of electroencephalography (EEG) and magnetoencephalography (MEG) in subcortical structures, i.e., deep sources. Furthermore, it has been argued that the anatomical configuration of the cerebellum leads to signal cancellation in MEG and EEG. Yet, claims that MEG and EEG are unable to detect cerebellar activity have been challenged by an increasing number of studies over the last decade. Here we address this controversy and survey reports in which neuromagnetic signals were successfully recorded from the human cerebellum. We argue that the detection of cerebellum activity non-invasively with MEG and EEG is indeed possible and can be enhanced with appropriate methods, in particular using connectivity analysis in source space. We provide illustrative examples of cerebellar activity detected with MEG and EEG. Furthermore, we propose practical guidelines to optimize the detection of cerebellar activity with MEG and EEG. Finally, we discuss MEG and EEG signal contamination that may lead to localizing spurious sources in the cerebellum and suggest ways of handling such artefacts. This review is to be read as a perspective review that highlights that it is indeed possible to measure cerebellum with MEG and EEG and encourages MEG and EEG researchers to do so. Its added value beyond highlighting and encouraging is that it offers useful advice for researchers aspiring to investigate the cerebellum with MEG and EEG.


2020 ◽  
Author(s):  
Kai Qiao ◽  
Lydia M. Le Page ◽  
Myriam M. Chaumeil

AbstractMacrophage activation, first generalized to the M1/M2 dichotomy, is a complex and central process of the innate immune response. Simply, M1 describes the classical pro-inflammatory activation, leading to tissue damage, and M2 the alternative activation promoting tissue repair. Given the central role of macrophages in multiple diseases, the ability to non-invasively differentiate between M1 and M2 activation states would be highly valuable for monitoring disease progression and therapeutic responses. Since M1/M2 activation patterns are associated with differential metabolic reprogramming, we hypothesized that hyperpolarized 13C magnetic resonance spectroscopy (HP 13C MRS), an innovative metabolic imaging approach, could distinguish between macrophage activation states noninvasively. The metabolic conversions of HP [1-13C]pyruvate to HP [1-13C]lactate and HP [1-13C]dehydroascorbic acid to HP [1-13C]ascorbic acid were monitored in live M1 and M2 activated J774a.1 macrophages non-invasively by HP 13C MRS on a 1.47 Tesla NMR system. Our results show that both metabolic conversions were significantly increased in M1 macrophages compared to M2 and non-activated cells. Biochemical assays and high resolution 1H MRS were also performed to investigate the underlying changes in enzymatic activities and metabolite levels linked to M1/M2 activation. Altogether, our results demonstrate the potential of HP 13C MRS for monitoring macrophage activation states non-invasively.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi140-vi141
Author(s):  
Georgios Batsios ◽  
Céline Taglang ◽  
Meryssa Tran ◽  
Anne Marie Gillespie ◽  
Sabrina Ronen ◽  
...  

Abstract Telomere maintenance is essential for tumor immortality and sustained tumor proliferation. Most tumors, including high-grade glioblastomas and low-grade oligodendrogliomas achieve telomere maintenance via reactivation of the expression of telomerase reverse transcriptase (TERT), which is silenced in normal somatic cells. Due to this essential role, TERT is a therapeutic target and TERT inhibitors such as 6-thio-2’-deoxyguanosine are in clinical trials. Non-invasive methods of imaging TERT, therefore, have the potential to provide a readout of tumor proliferation and response to therapy. We previously showed that TERT expression is associated with elevated levels of NADH in gliomas. Since NADH is essential for the conversion of pyruvate to lactate, measuring pyruvate flux to lactate could be useful for imaging TERT expression. In this context, deuterium magnetic resonance spectroscopy (2H-MRS) recently emerged as a novel, clinically translatable method of monitoring metabolic fluxes. The goal of this study was to assess the potential of [U-2H]pyruvate for non-invasive imaging of TERT status in gliomas. Following intravenous injection of [U-2H]pyruvate, lactate production was significantly higher in mice bearing orthotopic oligodendroglioma (SF10417, BT88) or glioblastoma (GBM1, GBM6) tumors relative to tumor-free controls. 2D chemical shift imaging showed localization of lactate production to tumor vs. contralateral normal brain. Importantly, following treatment of mice bearing orthotopic GBM6 or BT88 tumors with the TERT inhibitor 6-thio-2’-deoxyguanosine, lactate production from [U-2H]pyruvate was significantly reduced at early timepoints when alterations in tumor volume could not be detected by anatomical imaging, pointing to the ability of [U-2H]pyruvate to report on pseudoprogression. Collectively, we have, for the first time, demonstrated the utility of [U-2H]pyruvate for metabolic imaging of brain tumor burden and treatment response in vivo. Importantly, since 2H-MRS can be implemented on clinical scanners, our results provide a novel, non-invasive method of integrating information regarding a fundamental tumor hallmark, i.e. TERT, into glioma patient management.


2016 ◽  
Vol 13 (12) ◽  
pp. 725-739 ◽  
Author(s):  
Michelle M. Kim ◽  
Abhijit Parolia ◽  
Mark P. Dunphy ◽  
Sriram Venneti

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 588-588
Author(s):  
Anna Bet-Lachin ◽  
Frank Jiang ◽  
Lingjing Chen ◽  
Keyvan Keshari ◽  
David Wilson ◽  
...  

Abstract Abstract 588 Background: Establishing the pathologic basis of focal brain lesions caused by disease processes such as CNS lymphoma is often difficult. Results of standard MRI-based neuro-imaging are non-specific and cytological testing of cerebrospinal fluid (CSF) is highly insensitive. We tested the hypothesis that the metabolic constituents of the CSF reflect pathologic processes within the brain and thus might lead to the identification of novel diagnostic and prognostic biomarkers and provide insight into mechanisms of CNS lymphoma pathogenesis and its impact on cognitive function. We have pursued two novel approaches to define and model the metabolic microenvironment in CNS lymphoma: (1) Differential metabolite profiling of CSF; (2) Metabolic imaging using hyperpolarized 13C probes using preclinical models involving intracranial xenografts of CNS lymphoma. Methods: We are using GC/MS, in collaboration with Metabolon, to profile a broad spectrum of metabolites (> 140) in CSF from CNS lymphoma patients at diagnosis, relapse as well as from control subjects without brain tumors. In parallel, we are using high resolution MRI (14T) to perform anatomic and contrast enhanced imaging plus hyperpolarized metabolic imaging using 13C-metabolic probes such as [1-13C] pyruvate to monitor the production of intratumoral metabolites such as lactate within highly infiltrative xenograft models of CNS lymphoma. Results: Metabolite concentrations in CSF from 15 subjects with active CNS lymphoma were compared to 15 controls without brain tumors. Seventeen metabolites were significantly upregulated in CSF (> two-fold) compared to controls (p<0.05). Notably, despite similar tumor burdens, the CSF concentrations of lactate, malate and succinate were highest in patients with refractory lymphoma compared to chemotherapy-sensitive tumors. Another TCA intermediate, citrate, was detected at similar concentrations in CSF from controls and lymphoma patients. CSF concentrations of N-acetyl-aspartyl-glutamate, a neurotransmitter, were significantly lower in subjects with CNS lymphoma compared to controls. Metabolic imaging of murine CNS lymphoma xenograft (Raji lymphoma) using hyperpolarized [1-13C] pyruvate demonstrated intratumoral Warburg metabolism with a striking elevation of [1-13C] lactate that was apparent beyond the anatomical margins of the contrast enhancing lymphoma, as demonstrated by T1-weighted post-gadolinium images. Conclusions: These preliminary results suggest that 13C imaging may be able to identify regions of metabolic abnormality in CNS lymphoma outside those identified by 1H methods, and thus potentially provide insight into the metabolic features of the lymphoma as well as its stromal microenvironment. Our hypothesis is that MRI-based, non-invasive metabolic imaging will provide insights into the molecular differences between newly-diagnosed and relapsed cases as well as provide novel, non-invasive diagnostic and prognostic biomarkers. Supported by a grant from CFAR and the Sandler Program for Breakthrough Biomedical Research. Disclosures: No relevant conflicts of interest to declare.


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