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Third-generation EGFR and ALK inhibitors: mechanisms of resistance and management
The discoveries of EGFR mutations and ALK rearrangements as actionable oncogenic drivers in non-small-cell lung cancer (NSCLC) has propelled a biomarker-directed treatment paradigm for patients with advanced-stage disease. Numerous EGFR and ALK tyrosine kinase inhibitors (TKIs) with demonstrated efficacy in patients with EGFR-mutant and ALK-rearranged NSCLCs have been developed, culminating in the availability of the highly effective third-generation TKIs osimertinib and lorlatinib, respectively. Despite their marked efficacy, resistance to these agents remains an unsolved fundamental challenge. Both ‘on-target’ mechanisms (largely mediated by acquired resistance mutations in the kinase domains of EGFR or ALK) and ‘off-target’ mechanisms of resistance (mediated by non-target kinase alterations such as bypass signalling activation or phenotypic transformation) have been identified in patients with disease progression on osimertinib or lorlatinib. A growing understanding of the biology and spectrum of these mechanisms of resistance has already begun to inform the development of more effective therapeutic strategies. In this Review, we discuss the development of third-generation EGFR and ALK inhibitors, predominant mechanisms of resistance, and approaches to tackling resistance in the clinic, ranging from novel fourth-generation TKIs to combination regimens and other investigational therapies.Patients with non-small-cell lung cancers (NSCLCs) harbouring oncogenic EGFR or ALK alterations can benefit from therapies targeting these alterations, although acquired resistance to these agents is common. Third-generation inhibitors have extended the response durations of many patients with NSCLCs harbouring these alterations, albeit with differing patterns of resistance to those associated with earlier-generation agents. Here, the authors describe the mechanisms of acquired resistance to third-generation EGFR and ALK inhibitors and provide insights into future research directions in this area.
Journal Article
Symptom burden, viral load, and antibody response to ancestral SARS-CoV-2 strain D614G in an outpatient household cohort
Early in the SARS-CoV-2 pandemic, description of COVID-19 illness among non-hospitalized patients was limited. Data from household cohorts can help reveal the full spectrum of disease and the potential for long-term sequelae, even in non-severe disease.
Daily symptom diaries were collected in a US household cohort of SARS-CoV-2 infection from April to November 2020, during the pre-COVID vaccine period. SARS-CoV-2 nasal viral loads were measured at study entry and weekly until day 21; serologic testing was performed at study entry and day 28. A subset of volunteers underwent an additional assessment 8-10 months later. Participants who met the criteria for early infection-testing antibody-negative at study entry but PCR-positive either at baseline or during follow-up-were included in this analysis (n = 143).
Daily symptoms were ascertained in 143 outpatients with acute COVID-19, including 60 index cases who sought testing and 83 of their household contacts. Asymptomatic cases comprised 16% (13/83) of SARS-CoV-2 infections detected among household contacts. Among 119 persons with mild or moderate illness, the number of symptoms peaked 3 or 4 days after symptom onset. Fever and anosmia occurred in nearly half of participants. Symptom severity was associated with increased age, viral load, and cardiovascular disease. Increased BMI was associated with a higher antibody level at day 28, independent of symptom severity. Those with a higher day 28 antibody level were more likely to develop symptoms consistent with post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID-19, 8-10 months later.
Fever, anosmia, as well as asymptomatic infection were common features of COVID-19 non-severe illness when the D614G variant circulated in the US, before the availability of vaccines or outpatient therapies. Antibody levels following acute infection were linked to the development of symptoms of PASC 8-10 months later.
Journal Article
The Power of Field-Flow Fractionation in Characterization of Nanoparticles in Drug Delivery
Asymmetric-flow field-flow fractionation (AF4) is a gentle, flexible, and powerful separation technique that is widely utilized for fractionating nanometer-sized analytes, which extend to many emerging nanocarriers for drug delivery, including lipid-, virus-, and polymer-based nanoparticles. To ascertain quality attributes and suitability of these nanostructures as drug delivery systems, including particle size distributions, shape, morphology, composition, and stability, it is imperative that comprehensive analytical tools be used to characterize the native properties of these nanoparticles. The capacity for AF4 to be readily coupled to multiple online detectors (MD-AF4) or non-destructively fractionated and analyzed offline make this technique broadly compatible with a multitude of characterization strategies, which can provide insight on size, mass, shape, dispersity, and many other critical quality attributes. This review will critically investigate MD-AF4 reports for characterizing nanoparticles in drug delivery, especially those reported in the last 10–15 years that characterize multiple attributes simultaneously downstream from fractionation.
Journal Article
ALK-positive lung cancer: a moving target
Anaplastic lymphoma kinase (ALK) is a potent oncogenic driver in lung cancer. ALK tyrosine kinase inhibitors yield significant benefit in patients with ALK fusion-positive (ALK
) lung cancers; yet the durability of response is limited by drug resistance. Elucidation of on-target resistance mechanisms has facilitated the development of next-generation ALK inhibitors, but overcoming ALK-independent resistance mechanisms remains a challenge. In this Review, we discuss the molecular underpinnings of acquired resistance to ALK-directed therapy and highlight new treatment approaches aimed at inducing long-term remission in ALK
disease.
Journal Article
Therapy-induced APOBEC3A drives evolution of persistent cancer cells
Acquired drug resistance to anticancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified
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–
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, the underlying molecular mechanisms shaping tumour evolution during treatment are incompletely understood. Genomic profiling of patient tumours has implicated apolipoprotein B messenger RNA editing catalytic polypeptide-like (APOBEC) cytidine deaminases in tumour evolution; however, their role during therapy and the development of acquired drug resistance is undefined. Here we report that lung cancer targeted therapies commonly used in the clinic can induce cytidine deaminase APOBEC3A (A3A), leading to sustained mutagenesis in drug-tolerant cancer cells persisting during therapy. Therapy-induced A3A promotes the formation of double-strand DNA breaks, increasing genomic instability in drug-tolerant persisters. Deletion of A3A reduces APOBEC mutations and structural variations in persister cells and delays the development of drug resistance. APOBEC mutational signatures are enriched in tumours from patients with lung cancer who progressed after extended responses to targeted therapies. This study shows that induction of A3A in response to targeted therapies drives evolution of drug-tolerant persister cells, suggesting that suppression of A3A expression or activity may represent a potential therapeutic strategy in the prevention or delay of acquired resistance to lung cancer targeted therapy.
Induction of APOBEC3A in response to targeted therapies drives evolution of drug-tolerant persister cells, suggesting that its suppression may represent a potential therapeutic strategy in the prevention of acquired resistance to lung cancer targeted therapy.
Journal Article
Advances and future directions in ROS1 fusion-positive lung cancer
ROS1 gene fusions are an established oncogenic driver comprising 1%-2% of non–small cell lung cancer (NSCLC). Successful targeting of ROS1 fusion oncoprotein with oral small-molecule tyrosine kinase inhibitors (TKIs) has revolutionized the treatment landscape of metastatic ROS1 fusion-positive (ROS1+) NSCLC and transformed outcomes for patients. The preferred Food and Drug Administration-approved first-line therapies include crizotinib, entrectinib, and repotrectinib, and currently, selection amongst these options requires consideration of the systemic and CNS efficacy, tolerability, and access to therapy. Of note, resistance to ROS1 TKIs invariably develops, limiting the clinical benefit of these agents and leading to disease relapse. Progress in understanding the molecular mechanisms of resistance has enabled the development of numerous next-generation ROS1 TKIs, which achieve broader coverage of ROS1 resistance mutations and superior CNS penetration than first-generation TKIs, as well as other therapeutic strategies to address TKI resistance. The approach to subsequent therapy depends on the pace and pattern of progressive disease on the initial ROS1 TKI and, if known, the mechanisms of TKI resistance. Herein, we describe a practical approach for the selection of initial and subsequent therapies for metastatic ROS1+ NSCLC based on these clinical considerations. Additionally, we explore the evolving evidence for the optimal treatment of earlier-stage, non–metastatic ROS1+ NSCLC, while, in parallel, highlighting future research directions with the goal of continuing to build on the tremendous progress in the management of ROS1+ NSCLC and ultimately improving the longevity and well-being of people living with this disease.
This article describes a practical approach for the selection of initial and subsequent therapies for metastatic ROS1+ non–small cell lung cancer, explores the evolving evidence for optimal treatment of early-stage disease, and highlights areas for future research.
Journal Article
Repotrectinib in ROS1 Fusion–Positive Non–Small-Cell Lung Cancer
In this phase 1–2 trial, the TK inhibitor repotrectinib led to an objective response in 79% of patients with
ROS1
fusion–positive NSCLC and no previous ROS1 TK inhibitor use. Median progression-free survival was nearly 3 years.
Journal Article
Rotation-invariant similarity in time series using bag-of-patterns representation
For more than a decade, time series similarity search has been given a great deal of attention by data mining researchers. As a result, many time series representations and distance measures have been proposed. However, most existing work on time series similarity search relies on shape-based similarity matching. While some of the existing approaches work well for short time series data, they typically fail to produce satisfactory results when the sequence is long. For long sequences, it is more appropriate to consider the similarity based on the higher-level structures. In this work, we present a histogram-based representation for time series data, similar to the “bag of words” approach that is widely accepted by the text mining and information retrieval communities. We performed extensive experiments and show that our approach outperforms the leading existing methods in clustering, classification, and anomaly detection on dozens of real datasets. We further demonstrate that the representation allows rotation-invariant matching in shape datasets.
Journal Article
Innovations present in the primate interneuron repertoire
Primates and rodents, which descended from a common ancestor around 90 million years ago
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, exhibit profound differences in behaviour and cognitive capacity; the cellular basis for these differences is unknown. Here we use single-nucleus RNA sequencing to profile RNA expression in 188,776 individual interneurons across homologous brain regions from three primates (human, macaque and marmoset), a rodent (mouse) and a weasel (ferret). Homologous interneuron types—which were readily identified by their RNA-expression patterns—varied in abundance and RNA expression among ferrets, mice and primates, but varied less among primates. Only a modest fraction of the genes identified as ‘markers’ of specific interneuron subtypes in any one species had this property in another species. In the primate neocortex, dozens of genes showed spatial expression gradients among interneurons of the same type, which suggests that regional variation in cortical contexts shapes the RNA expression patterns of adult neocortical interneurons. We found that an interneuron type that was previously associated with the mouse hippocampus—the ‘ivy cell’, which has neurogliaform characteristics—has become abundant across the neocortex of humans, macaques and marmosets but not mice or ferrets. We also found a notable subcortical innovation: an abundant striatal interneuron type in primates that had no molecularly homologous counterpart in mice or ferrets. These interneurons expressed a unique combination of genes that encode transcription factors, receptors and neuropeptides and constituted around 30% of striatal interneurons in marmosets and humans.
Single-nucleus RNA-sequencing analyses of brain from humans, macaques, marmosets, mice and ferrets reveal diverse ways that interneuron populations have changed during evolution.
Journal Article