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Alectinib

Alectinib: A potent and selective tyrosine kinase inhibitor used to treat non-small cell lung cancer.
It targets the anaplastic lymphoma kinase (ALK) gene mutation, which is present in a subset of lung cancer patients.
Alectinib has shown improved progression-free survival and overall survival compared to traditional chemotherapy in clinical trials.
Researchers can utilize PubCompare.ai to optimize Alectinib research by identifying the most reproducible and accurate protocols from literature, preprints, and patents, as well as leveraging AI to efficiently compare products and methods, ensuring reliable and efficietn investigations.

Most cited protocols related to «Alectinib»

ALUR was a randomized, open-label, phase III trial. Patients were randomized 2 : 1 to receive alectinib 600 mg twice daily, or chemotherapy (pemetrexed 500 mg/m2 or docetaxel 75 mg/m2, every 3 weeks, at the investigators’ discretion) until disease progression, death, or withdrawal. Randomization was carried out using the following stratification factors: ECOG PS (0/1 versus 2); baseline CNS metastases (yes/no); and, for patients with baseline CNS metastases, brain radiotherapy history (yes/no). Crossover from chemotherapy to alectinib was permitted following progression. At the investigators’ discretion, alectinib could be continued beyond radiologic progression until loss of clinical benefit. The primary analysis cutoff was 26 January 2017, when the sponsor became aware of 50 PFS events. Additional information regarding the study design is in the supplementary material, available at Annals of Oncology online.
Primary end point was investigator-assessed PFS with alectinib versus chemotherapy in the intent-to-treat (ITT) population. A key secondary end point was CNS objective response rate (ORR) in patients with measurable baseline CNS disease. Other secondary end points included: Independent Review Committee (IRC)-assessed PFS; ORR, disease control rate (DCR), and duration of response (DOR; investigator- and IRC-assessed); time to CNS progression by baseline CNS disease; CNS DCR and CNS DOR in patients with baseline CNS metastases; overall survival (OS); safety. CNS end points were IRC-assessed. The supplementary material, available at Annals of Oncology online provides end point definitions.
ALUR was undertaken in accordance with the Declaration of Helsinki and International Conference on Harmonization Good Clinical Practice Guidelines. The protocol was approved by institutional review boards/ethics committees at each participating site. Written informed consent was obtained from all patients.
Publication 2018
alectinib Brain Central Nervous System Diseases Conferences Disease Progression Docetaxel Electrocorticography Ethics Committees Ethics Committees, Research Neoplasm Metastasis Neoplasms Patients Pharmacotherapy Radiotherapy Safety
We use the exponential growth rate in the fluorescent area of the two fluorescent channels as our measure of fitness. In order to minimise the impact of growth inhibition by confluency, we analyzed the competitive dynamics during the first 5 days of culture, when the cell population was expanding exponentially. We learned growth rate along with a confidence interval from the time-series of population size in each well using the Theil-Sen estimator. More detail on and justification of this measure of fitness is available in Supplementary Information Section B.2.Since raw population sizes have different units (GFP Fluorescent Area (GFA) vs mCherry Fluorescent Area (RFA)), we converted them to common cell-number-units (CNU) by learning the linear transform that scales GFA and RFA into CNU. We defined proportions based on this common CNU as p = NP/(Np + NR) where N{P,R} is the CNU size of parental and resistant populations. The transform of GFA to RFA into CNU is associated with an error that is propagated to measures of p as σρ.
To measure the fitness functions we plotted fitness of each cell-type in each well vs seeding proportion (p) of parental cells in Figure 3. The x-axis proportion of parental cells (p) was computed from the first time-point. We estimated the line of best-fit and error on parameters for this data using least-squares weighted by the inverse of the error on each data point. For the exact lines of best-fit, see Supplementary Information Section C.3.The p = 0 and p = 1 intercepts of the lines of best fit serve as the entries of the game matrices. Note that in Figure 4b, we multiplied the entries by 100 for easier presentation. The game point are calculated from the matrices as x := CA and y := BD, and the error is propagated from the error estimates on lines of best-fit’s parameters.
Publication 2019
Epistropheus Parent Population Group Psychological Inhibition

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Publication 2021
Alecensa alectinib Alunbrig Biological Products brigatinib ceritinib Congenital Abnormality Crizotinib Cytochrome P-450 CYP2B1 Disabled Persons Health Care Professionals Hospitalization inhibitors LDK378 Lorbrena lorlatinib Patients Pharmaceutical Preparations Python Safety Therapeutics Xalkori Zykadia
The ITT population comprised all patients randomized. The safety population comprised all patients who received ≥1 dose of assigned study medication. ITT patients with measurable and/or nonmeasurable baseline CNS disease comprised the CNS ITT (C-ITT) population; C-ITT patients were further classified into those with measurable (mC-ITT) or nonmeasurable baseline CNS disease (supplementary Table S1, available at Annals of Oncology online).
The study design was based on a sample size of 120 patients for 80% power of the log-rank test (two-sided α at 0.05) to detect a significant improvement in median PFS (primary end point) from 3 to 6 months with alectinib [hazard ratio (HR) 0.5; 74 events]. As data from alectinib phase II trials indicated a consistent PFS of >8 months [7 (link), 8 (link)], the protocol was amended to detect a significant improvement in median PFS from 3 to 7 months (HR 0.43; 50 events) and the sample size was reduced to 90 patients for 80% power (two-sided α at 0.05) (protocol V5). The analysis populations (ITT2, C-ITT2, and mC-ITT2) for protocol V5 are detailed in the supplementary material, available at Annals of Oncology online.
Primary analysis of investigator-assessed PFS (ITT) was carried out using a stratified Cox model including treatment arm variable and stratification factors. Estimates for PFS were obtained using a Kaplan–Meier approach, the P-value of log-rank test was calculated with estimated HRs (stratified Cox model) and corresponding 95% CIs (Brookmeyer and Crowley method). Hypothesis testing for the primary end point was carried out (two-sided α at 0.05). If superiority for the primary end point was concluded, subsequent hierarchical testing for the key secondary end point, CNS ORR in patients with measurable baseline CNS metastases, was carried out (70% power at one-sided 5% α). Additional details regarding methods are described in the supplementary material, available at Annals of Oncology online.
Publication 2018
alectinib Central Nervous System Diseases Neoplasm Metastasis Neoplasms Patients Population Group Safety
Therapeutic Performance Mapping System (TPMS) (Anaxomics Biotech, Barcelona, Spain) is a top-down systems biology approach based on artificial intelligence and pattern recognition models. This methodology integrates available biological, pharmacological and medical information to generate mathematical models that simulate the mechanisms of action of drugs in a pathophysiological human context (Figure 4). TPMS models are trained using a compendium of biological and clinical data characteristics of the human physiology (Supplementary Table 7).
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Publication 2021
Biopharmaceuticals Drug Kinetics Homo sapiens Pharmaceutical Preparations physiology Therapeutics

Most recents protocols related to «Alectinib»

Patients received continuing alectinib treatment from the time of disease progression on prior alectinib until repeated disease progression, an unacceptable adverse event (AE), or death occurred. If necessary, additional systemic or local therapies were administered concurrently with alectinib treatment.
Publication 2024

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Publication 2024
PFS was considered to be the time to progression or death following initial progression with alectinib. OS was calculated from the initiation of alectinib treatment to the time of death. ORR was considered to be the ORR during the continuation of alectinib. Kaplan-Meier survival curves were generated for PFS and OS. The “swimplot” package and “ggplot” package in R software were used for creating swim plots. All statistical analyses were conducted using R software version 4.2.3 and Jamovi software version 2.3.18 for Microsoft Windows 64.
Publication 2024
This retrospective cohort study included a total of fifteen patients from nine institutions in China due to the rarity of the study population. These patients experienced disease progression after first- or second-line alectinib and continued to receive alectinib treatment between 2019 and 2022. This study was approved by the Ethics Review Committee of the First Affiliated Hospital of Xi’an Jiaotong University (No. XJTU1AF2023LSK-364) and adhered to the ethical guidelines of the Helsinki Declaration (as revised in 2013). Individual consent for this retrospective analysis was waived. All participating institutions were informed and agreed with this study. The primary objective of the study was to evaluate the safety and the mPFS of the continuing alectinib, as assessed by the investigators. Secondary endpoints included the ORR of alectinib continuation and the median overall survival (mOS) of the study participants as assessed by the investigators. To assess tumor response, computed tomography (CT) or magnetic resonance imaging (MRI) was applied every 2 months and evaluated according to Response Evaluation Criteria in Solid Tumors (RECIST) v. 1.1 guidelines. AEs are recorded in terms of type and severity, and the severity of toxicity was evaluated using the Common Terminology Criteria for Adverse Events v. 5.0. The study was a single-arm cohort study that was compared with previous studies.
Publication 2024

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Publication 2024

Top products related to «Alectinib»

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Alectinib is a laboratory instrument used for chemical analysis. It is designed to accurately measure and quantify specific chemical compounds within a sample.
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Crizotinib is a tyrosine kinase inhibitor used in laboratory research. It functions by inhibiting the activity of certain enzymes, such as ALK and c-MET, which are involved in cellular signaling pathways.
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Ceritinib is a small-molecule inhibitor of the anaplastic lymphoma kinase (ALK) enzyme. It is used in the laboratory setting for research purposes.
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Lorlatinib is a laboratory chemical used for research purposes. It is a tyrosine kinase inhibitor that targets the anaplastic lymphoma kinase (ALK) protein. Lorlatinib is employed in scientific investigations, but its specific applications and intended uses are not provided in this factual description.
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Osimertinib is a chemical compound used in laboratory research. It is a tyrosine kinase inhibitor that targets the epidermal growth factor receptor (EGFR). Osimertinib is commonly used in studies related to cancer research and drug development.
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Trametinib is a selective inhibitor of mitogen-activated protein kinase kinase (MEK) enzymes 1 and 2. It is a white to almost white crystalline powder that is used in various biomedical research applications.
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Alectinib is a laboratory product manufactured by Active Motif. It is a small molecule inhibitor that targets the anaplastic lymphoma kinase (ALK) protein.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
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Alectinib is a laboratory equipment product manufactured by MedChemExpress. It is a tyrosine kinase inhibitor used in research applications.
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Erlotinib is a laboratory reagent used in research applications. It is a tyrosine kinase inhibitor that targets the epidermal growth factor receptor (EGFR). Erlotinib is commonly used in cell-based assays and in vitro studies to investigate EGFR signaling pathways.

More about "Alectinib"

Alectinib is a potent and selective tyrosine kinase inhibitor used to treat non-small cell lung cancer (NSCLC).
It specifically targets the anaplastic lymphoma kinase (ALK) gene mutation, which is present in a subset of lung cancer patients.
Alectinib has demonstrated improved progression-free survival and overall survival compared to traditional chemotherapy in clinical trials.
Researchers can utilize PubCompare.ai to optimize their Alectinib research by identifying the most reproducible and accurate protocols from literature, preprints, and patents.
This AI-driven platform allows researchers to efficiently compare products and methods, ensuring reliable and efficietn investigations.
Alectinib is part of a class of targeted therapies known as ALK inhibitors, which also includes Crizotinib, Ceritinib, and Lorlatinib.
These drugs work by blocking the activity of the ALK protein, which is essential for the growth and survival of certain types of cancer cells.
In addition to Alectinib, researchers may also investigate the use of other targeted therapies, such as Osimertinib (an EGFR inhibitor) and Trametinib (a MEK inhibitor), in combination with Alectinib or other ALK inhibitors.
The solvent dimethyl sulfoxide (DMSO) is often used in cell culture experiments to study the effects of these drugs.
By leveraging the insights and tools provided by PubCompare.ai, researchers can optimize their Alectinib research, ensuring that their investigations are based on the most reliable and reproducible protocols.
This, in turn, can lead to more efficient and effective drug development, ultimately benefiting patients with non-small cell lung cancer.