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olaparib (myChoice CDx)

✓ Approved

Myriad Genetics, Inc. · 辅助诊断 · 辅助诊断

什么是 olaparib?

olaparib 是一种辅助诊断,由Myriad Genetics, Inc.研发。该药已获批,用于治疗相关适应症,给药途径:Others。

药物档案

商品名myChoice CDx
公司Myriad Genetics, Inc.
药物类别辅助诊断
给药途径Others
状态Approved

治疗适应症

olaparib 针对 1 个适应症,涉及 1 个治疗领域。

治疗领域疾病/病症分期
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Uterine cancer✓ Approved

相关研究文献

PubMedJournal of medicinal chemistry2026-09-10

Optimization of a Series of Novel 1H-Pyrrolo[3,2-c]pyridine-Based USP1 Inhibitors with Potent In Vivo Antitumor Activity.

Yang Tao T, Cui Xue X, Li Qingyan Q, Teng Yaxin Y et al.

USP1, a deubiquitinating enzyme critical for DNA damage repair, represents a promising therapeutic target for cancers. In this study, we employed scaffold hopping to design and synthesize a series of 1H-pyrrolo[3,2-c]pyridine-based USP1 inhibitors. Among these, the lead compound 38a displayed robust enzymatic and cellular potencies. 38a dose-dependently induced Ub-PCNA accumulation, triggered cell cycle arrest, and potently suppressed cell viability. Additionally, 38a synergized with olaparib in MDA-MB-463 cells. Uniquely, 38a effectively induced c-MYC downregulation. In vivo studies confirmed 38a's favorable oral bioavailability. In the MDA-MB-436 xenograft model, the combination of 38a with olaparib exerted potent antitumor efficacy, with a tumor inhibition rate of 80.7%, and the antitumor activity of 38a stemmed from USP1 inhibition. Furthermore, in the DLBCL PDX model with high c-MYC expression, 38a demonstrated efficacy comparable to standard first-line therapies. Preliminary safety evaluation confirmed the safety profile of 38a. Taken together, 38a is a highly promising antitumor lead compound with great translational potential.

PMID 42720480
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PubMedAnnals of translational medicine2026-09-10

Individualized pharmacotherapy: background and development.

Jørgensen Jan Trøst JT, Westergaard Niels N

Most drug prescriptions are still based on empiricism and not on solid biological data, which often results in considerable patient variability and, sometimes, low patient benefits. Although variability in patient response to pharmacotherapy has long been recognized, only in recent decades have new molecule analytical methods provided insight into some of the causes, which are often related to somatic or germline genetic variations. Based on this insight, different predictive biomarker tests have been developed to optimize and individualize pharmacotherapy. These biomarker tests are classified as companion diagnostic (CDx) or pharmacogenetic (PGx) tests. In both the United States and Europe, CDx and PGx information is part of the regulatory drug labeling and is included in the Prescribing Information for the individual drugs and biologics. In the United States, this type of information is found in the labeling of more than 400 regulatory-approved drugs and biological products. Despite these measures and the documented clinical utility of CDx and PGx testing, clinical implementation is lagging, especially with regard to PGx. There are various reasons for the lack of testing, such as insufficient education and awareness among healthcare professionals, inadequate access to biomarker testing, regulatory hurdles, and insufficient reimbursements. Although progress has been made in recent years, further efforts are needed to fully realize the potential of individualized pharmacotherapy by integrating the use of predictive biomarkers into routine clinical practice.

PMID 42718847
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PubMedNature2026-09-10

Family-based analyses show how children's genetics shape key traits.

PMID 42717011
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PubMedFamilial cancer2026-09-10

Uptake of germline testing for Lynch Syndrome in patients with deficient mismatch repair/ microsatellite-high colorectal cancer in the public hospital system in South Australia.

Vembar Preethi P, Dow Eryn E

Lynch syndrome (LS) accounts for approximately 4% of colorectal cancer (CRC) cases and arises from pathogenic variants in mismatch repair (MMR) genes. Australian guidelines recommend universal MMR or microsatellite instability (MSI) screening in all CRC patients; however, real-world uptake remains variable. This study evaluated rates of MMR/MSI screening, germline testing, and genetics referrals across two major public hospitals in South Australia. A retrospective review of 1775 patients discussed at colorectal multidisciplinary team meetings in the Royal Adelaide and Queen Elizabeth hospitals between January 2021 and December 2023 was conducted to identify rates of MMR/MSI screening and subsequent referral of eligible patients to genetics. Of the 1129 colorectal cancer cases identified, MMR/MSI testing was performed in 93.2% (1052/1129), with deficiency detected in 12.5% (131/1052). Of these, 37% (49/131) were eligible for genetics referral after exclusion of somatic causes. Among eligible patients, 73.5% (36/49) were referred, and 43% (21/49) underwent germline testing. LS was confirmed in 12 patients (9% of deficient MMR CRC), while 9 patients (6.9%) were classified as having Lynch-like syndrome. Despite high screening rates, gaps remain in genetics referral and testing. Barriers included lack of reflex testing, loss to follow-up, and patient refusal. Targeted system-level interventions and improved genomic education are needed to enhance adherence to guidelines and optimise patient outcomes.

PMID 42720705
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PubMedGenetics in medicine : official journal of the American College of Medical Genetics2026-09-10

Ethical concerns regarding genetic testing for Y chromosome presence in athletes: A position statement of the American College of Medical Genetics and Genomics (ACMG).

Vilain Eric E, Aarabi Mahmoud M, Khushf George G, Yatsenko Svetlana S et al.

PMID 42720180
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PubMedNature reviews. Cancer2026-09-10

A guide to understanding tumour evolution through the lens of population genetics.

Caravagna Giulio G, Graham Trevor A TA, Sottoriva Andrea A

Every cancer carries the history of its own evolution, hidden in its genome. Modern DNA sequencing can catalogue millions of mutations and profile tumours across space and time, but sequencing alone struggles to answer the questions that matter most: when did key adaptations emerge, how strongly were they selected, why do some tumours relapse whereas others do not, and how will the cancer evolve next? The reason is fundamental: sequencing is a snapshot, whereas evolution is a dynamic process. Bridging this gap requires moving beyond descriptive cancer genomics towards quantitative evolutionary inference. In this Review, we argue that population genetics provides the mathematical framework needed to extract evolutionary dynamics from cancer genomes. We show how models of mutation, selection and drift transform allele frequencies from descriptive measurements into quantitative estimates of clonal fitness and evolutionary timings. We discuss how these principles extend to epigenetic inheritance, plasticity and ecological interactions within the tumour ecosystem, and examine the assumptions and limitations for their application to modern sequencing data. By reframing cancer genomes as quantitative records of evolutionary processes rather than catalogues of mutations, researchers have used population genetics to provide a foundation for understanding - and ultimately predicting - the trajectories of cancer evolution.

PMID 42717056
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