Brain infections that mimic malignancy

Godkhindi, Vishwapriya M; Monappa, Vidya; Kairanna, Nikitha Valerina; Sharma, S; Vasudevan, Geetha; Hebbar, Karthikeya D.

doi:10.1016/j.mpdhp.2022.08.009

Cited by 3 publications

(3 citation statements)

References 23 publications

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“…The importance was emphasized by the case of patient 2, who was initially treated for optic neuritis. Similar to cases discussed in the literature, repeatedly there are patients presenting with unclear lesions on MRI, where surgery is associated with significant risks, who would benefit from LB to rapidly provide more insight into differential diagnoses [2,27]. To address tumor heterogeneity, performance of multiplex ddPCR assays with pre-specified tumorspecific probes warrant further investigation to become a new approach for the diagnosis of unspecific, tumor-suspicious CNS lesions.…”

Section: Discussionmentioning

confidence: 80%

Proof-of-Concept for Liquid Biopsy Disease Monitoring of MYC-Amplified Group 3 Medulloblastoma by Droplet Digital PCR

Stepien

Senfter

Furtner

et al. 2023

Cancers

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Background: Liquid biopsy diagnostic methods are an emerging complementary tool to imaging and pathology techniques across various cancer types. However, there is still no established method for the detection of molecular alterations and disease monitoring in MB, the most common malignant CNS tumor in the pediatric population. In the presented study, we investigated droplet digital polymerase chain reaction (ddPCR) as a highly sensitive method for the detection of MYC amplification in bodily fluids of group 3 MB patients. Methods: We identified a cohort of five MYC-amplified MBs by methylation array and FISH. Predesigned and wet-lab validated probes for ddPCR were used to establish the detection method and were validated in two MYC-amplified MB cell lines as well as tumor tissue of the MYC-amplified cohort. Finally, a total of 49 longitudinal CSF samples were analyzed at multiple timepoints during the course of the disease. Results: Detection of MYC amplification by ddPCR in CSF showed a sensitivity and specificity of 90% and 100%, respectively. We observed a steep increase in amplification rate (AR) at disease progression in 3/5 cases. ddPCR was proven to be more sensitive than cytology for the detection of residual disease. In contrast to CSF, MYC amplification was not detectable by ddPCR in blood samples. Conclusions: ddPCR proves to be a sensitive and specific method for the detection of MYC amplification in the CSF of MB patients. These results warrant implementation of liquid biopsy in future prospective clinical trials to validate the potential for improved diagnosis, disease staging and monitoring.

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Section: Discussionmentioning

confidence: 80%

Proof-of-Concept for Liquid Biopsy Disease Monitoring of MYC-Amplified Group 3 Medulloblastoma by Droplet Digital PCR

Stepien

Senfter

Furtner

et al. 2023

Cancers

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“…Some of them (pyogenic or tubercular abscesses, Aspergillosis, Whipple disease, etc.) can complicate diagnosis by mimicking space-occupying lesions (SOL, i.e., tumours), losing valuable and timely treatment opportunities [ 138 ]. In the case of sepsis, damage (inflammation, BBB disruption, hypoperfusion) can have long-term effects (cognitive impairment) [ 139 ].…”

Section: Brain Damagementioning

confidence: 99%

Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)

Irastorza-Valera,

Soria-Gómez,

Benitez

et al. 2024

Biomimetics

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The brain is the most complex organ in the human body and, as such, its study entails great challenges (methodological, theoretical, etc.). Nonetheless, there is a remarkable amount of studies about the consequences of pathological conditions on its development and functioning. This bibliographic review aims to cover mostly findings related to changes in the physical distribution of neurons and their connections—the connectome—both structural and functional, as well as their modelling approaches. It does not intend to offer an extensive description of all conditions affecting the brain; rather, it presents the most common ones. Thus, here, we highlight the need for accurate brain modelling that can subsequently be used to understand brain function and be applied to diagnose, track, and simulate treatments for the most prevalent pathologies affecting the brain.

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“…can complicate diagnosis mimicking space-occupying lesions (SOL, i.e. tumors), losing valuable and timely treatment opportunities [119]. In case of sepsis, damage (inflammation, BBB disruption, hypoperfusion) can have long-term effects (cognitive impairment) [120].…”

Section: Infectionsmentioning

confidence: 99%

Review of the Brain Behaviour after Injury and Disease for Its Application in an Agent Based Model (ABM)

Irastorza Varela,

Benítez Baena,

Montans

et al. 2023

Preprint

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The brain being arguably the most complex organ in the human body, its detailed functioning is yet to be fully deciphered, let alone accurately modeled. Nonetheless, the medical community has gathered quite a remarkable amount of studies about the consequences of illnesses and injuries on its development and functioning. This bibliographic review aims to cover mostly the findings related to the changes in the physical distribution of neurons and their connections - the connectome -, both structural and functional, as well as their modelling. It does not intend to offer an extensive medical description of all injuries and diseases affecting the brain, rather presenting the most common ones succinctly so the need for accurate brain modelling can be fully understood and pondered, offering propositions to this aim.

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Brain infections that mimic malignancy

Cited by 3 publications

References 23 publications

Proof-of-Concept for Liquid Biopsy Disease Monitoring of MYC-Amplified Group 3 Medulloblastoma by Droplet Digital PCR

Proof-of-Concept for Liquid Biopsy Disease Monitoring of MYC-Amplified Group 3 Medulloblastoma by Droplet Digital PCR

Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)

Review of the Brain Behaviour after Injury and Disease for Its Application in an Agent Based Model (ABM)

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