Tumor-Type Agnostic, Targeted Therapies: BRAF Inhibitors Join the Group

In the present review, we briefly discuss the breakthrough advances in precision medicine using a tumor-agnostic approach and focus on BRAF treatment modalities, the mechanisms of resistance and the diagnostic approach in cancers with BRAF mutations. Tumor-type agnostic drug therapies work across cancer types and present a significant novel shift in precision cancer medicine. They are the consequence of carefully designed clinical trials that showed the value of tumor biomarkers, not just in diagnosis but in therapy guidance. Six tumor-agnostic drugs (with seven indications) have been approved through October 2022 by FDA. The first tumor-agnostic treatment modality was pembrolizumab for MSI-H/dMMR solid tumors, approved in 2017. This was followed by approvals of larotrectinib and entrectinib for cancers with NTRK fusions without a known acquired resistance mutation. In 2020, pembrolizumab was approved for all TMB-high solid cancers, while a PD-L1 inhibitor dostarlimab-gxly was approved for dMMR solid cancers in 2021. A combination of BRAF/MEK inhibitors (dabrafenib/trametinib) was approved as a tumor-agnostic therapy in June 2022 for all histologic types of solid metastatic cancers harboring BRAFV600E mutations. In September 2022, RET inhibitor selpercatinib was approved for solid cancers with RET gene fusions. CONCLUSION: Precision cancer medicine has substantially improved cancer diagnostics and treatment. Tissue type-agnostic drug therapies present a novel shift in precision cancer medicine. This approach rapidly expands to provide treatments for patients with different cancers harboring the same molecular alteration

High-content siRNA screening of the kinome identifies kinases involved in Alzheimer's disease-related tau hyperphosphorylation

<p>Abstract</p> <p>Background</p> <p>Neurofibrillary tangles (NFT), a cardinal neuropathological feature of Alzheimer's disease (AD) that is highly correlated with synaptic loss and dementia severity, appear to be partly attributable to increased phosphorylation of the microtubule stabilizing protein tau at certain AD-related residues. Identifying the kinases involved in the pathologic phosphorylation of tau may provide targets at which to aim new AD-modifying treatments.</p> <p>Results</p> <p>We report results from a screen of 572 kinases in the human genome for effects on tau hyperphosphorylation using a loss of function, high-throughput RNAi approach. We confirm effects of three kinases from this screen, the eukaryotic translation initiation factor 2 α kinase 2 (EIF2AK2), the dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A (DYRK1A), and the A-kinase anchor protein 13 (AKAP13) on tau phosphorylation at the 12E8 epitope (serine 262/serine 356). We provide evidence that EIF2AK2 effects may result from effects on tau protein expression, whereas DYRK1A and AKAP13 are likely more specifically involved in tau phosphorylation pathways.</p> <p>Conclusions</p> <p>These findings identify novel kinases that phosphorylate tau protein and provide a valuable reference data set describing the kinases involved in phosphorylating tau at an AD-relevant epitope.</p

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Identification of a Novel NRG1 Fusion with Targeted Therapeutic Implications in Locally Advanced Pediatric Cholangiocarcinoma: A Case Report

Locally advanced cholangiocarcinoma has a poor prognosis, with long-term survival only for patients where complete surgical resection is achieved. Median overall survival with chemotherapy alone is less than 1 year. Novel strategies combining conventional chemotherapy and radiotherapy followed by targeted agents can lead to durable treatment responses and are applicable to cholangiocarcinoma management. Pediatric cholangiocarcinoma is exceedingly rare, with an estimate of 15–22 cases reported in the last 40 years. As such, no standard therapeutic regimen exists. We present a case of a 16-year-old previously healthy patient with unresectable cholangiocarcinoma whose tumor genetic sequencing revealed a novel, actionable neuregulin-1 (NRG1) gene translocation. The patient underwent standard systemic chemotherapy with gemcitabine and cisplatin followed by hypofractionated proton radiation therapy for local control. The patient then started an oral pan-ERBB (erythroblastic B receptor tyrosine kinases including ErbB1/EGFR, ErbB2/HER2, ErbB3/HER3, ErbB4/HER4) family inhibitor as a maintenance medication, remaining with stable disease and excellent quality of life for over 2 years. This case highlights a novel NRG1 fusion in a rare clinical entity that provided an opportunity to utilize a multimodal therapeutic strategy in the pediatric setting