Transitioning the Molecular Tumor Board from Proof of Concept to Clinical Routine: A German Single-Center Analysis.
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ABSTRACT:
SUBMITTER: Hoefflin R
PROVIDER: S-EPMC7962829 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Purpose:Dramatic advances in our understanding of the molecular pathophysiology of cancer, along with a rapidly expanding portfolio of molecular targeted drugs, have led to a paradigm shift toward personalized, biomarker-driven cancer treatment. Here, we report the 2-year experience of the Comprehensive Cancer Center Freiburg Molecular Tumor Board (MTB), one of the first interdisciplinary molecular tumor conferences established in Europe. The role of the MTB is to recommend personalized therapy for patients with cancer beyond standard-of-care treatment. Methods:This retrospective case series includes 198 patients discussed from March 2015 through February 2017. The MTB guided individual molecular diagnostics, assessed evidence of actionability of molecular alterations, and provided therapy recommendations, including approved and off-label treatments as well as available matched clinical trials. Results:The majority of patients had metastatic solid tumors (73.7%), mostly progressive (77.3%) after a mean of 2.0 lines of standard treatment. Diagnostic recommendations resulted in 867 molecular diagnostic tests for 172 patients (five per case), including exome analysis in 36 cases (18.2%). With a median turnaround time of 28 days, treatment recommendations were given to 104 patients (52.5%). These included single-agent targeted therapies (42.3%), checkpoint inhibitors (37.5%), and combination therapies (18.3%). Treatment recommendations were implemented in 33 of 104 patients (31.7%), of whom 19 (57.6%) showed stable disease or partial response, including 14 patients (7.1% of the entire population) receiving off-label treatments. Conclusion:Personalized extended molecular-guided patient care is effective for a small but clinically meaningful proportion of patients in challenging clinical situations. Limited access to targeted drugs, lack of trials, and submission at late disease stage prevents broader applicability, whereas genome-wide analyses are not a strict requirement for predictive molecular testing.
| S-EPMC7446498 | biostudies-literature
Project description:Today, novel candidate therapeutics are identified in an environment which is intrinsically different from the clinical context in which they are ultimately evaluated. We present a strategy that allows biological relevance to be assessed in the early stages of drug discovery. Using molecular phenotyping and an in vitro model of diabetic cardiomyopathy, we show that by quantifying pathway reporter gene expression, molecular phenotyping can cluster compounds based on pathway profiles and dissect associations between pathway activities and disease phenotypes simultaneously. Molecular phenotyping identified a class of calcium-signaling modulators that can reverse disease-regulated pathways and phenotypes, which was validated by structurally distinct compounds of relevant classes. The technique was applicable to compounds with a range of binding specificities and detected false-positive hits missed by classical phenotypic assays. Our results advocate application of molecular phenotyping in drug discovery, promoting biological relevance as a key selection criterion early in the drug development cascade.
2017-05-24 | GSE89972 | GEO
Project description:Background and objectivesTo provide proof-of-concept for the validity of the Wii Balance Board (WBB) measures to predict the type of walking aids required by inpatients with a recent (≤4 days) total knee arthroplasty (TKA).MethodsA cross-sectional sample of 89 inpatients (mean age, 67.0±8 years) with TKA was analyzed. A multivariable proportional odds prediction model was constructed using 8 pre-specified predictors – namely, age, sex, body mass index, knee pain, knee range-of-motion, active knee lag, and WBB-derived standing balance. The type of walking aids prescribed on day 4 post-surgery was the outcome of interest – an ordinal variable with 4 categories (walking stick, narrow- and broad-base quadstick, and walking frame).ResultsWomen, increasing body mass index, and poorer standing balance were independently associated with greater odds for requiring walking aids with a larger base-of-support. The concordance-index of the prediction model was 0.74. The model comprising only WBB-derived standing balance had nearly half (44%) the explanatory power of the full model. Adding WBB-derived standing balance to conventional demographic and knee variables resulted in a continuous net reclassification index of 0.60 (95%CI,0.19-1.01), predominantly due to better identification of patients who required walking aids with a large base-of-support (sensitivity gain).ConclusionsThe WBB was able to provide quantitative measures of standing balance which could assist healthcare professionals in prescribing the appropriate type of walking aids for patients. Further investigation is needed to assess whether using the WBB could lead to meaningful changes in clinical outcomes such as falls.
| S-EPMC4304706 | biostudies-literature
Project description:BackgroundPediatric oncologists have begun to leverage tumor genetic profiling to match patients with targeted therapies. At the Memorial Sloan Kettering Cancer Center (MSKCC), we developed the Pediatric Molecular Tumor Board (PMTB) to track, integrate, and interpret clinical genomic profiling and potential targeted therapeutic recommendations.ProcedureThis retrospective case series includes all patients reviewed by the MSKCC PMTB from July 2014 to June 2015. Cases were submitted by treating oncologists and potential treatment recommendations were based upon the modified guidelines of the Oxford Centre for Evidence-Based Medicine.ResultsThere were 41 presentations of 39 individual patients during the study period. Gliomas, acute myeloid leukemia, and neuroblastoma were the most commonly reviewed cases. Thirty nine (87%) of the 45 molecular sequencing profiles utilized hybrid-capture targeted genome sequencing. In 30 (73%) of the 41 presentations, the PMTB provided therapeutic recommendations, of which 19 (46%) were implemented. Twenty-one (70%) of the recommendations involved targeted therapies. Three (14%) targeted therapy recommendations had published evidence to support the proposed recommendations (evidence levels 1-2), eight (36%) recommendations had preclinical evidence (level 3), and 11 (50%) recommendations were based upon hypothetical biological rationales (level 4).ConclusionsThe MSKCC PMTB enabled a clinically relevant interpretation of genomic profiling. Effective use of clinical genomics is anticipated to require new and improved tools to ascribe pathogenic significance and therapeutic actionability. The development of specific rule-driven clinical protocols will be needed for the incorporation and evaluation of genomic and molecular profiling in interventional prospective clinical trials.
| S-EPMC5429592 | biostudies-literature
Project description:PurposeThe study aims to contrast the efficacy of trophectoderm biopsy preimplantation genetic screening (PGS)/vitrification (VTF)-all cycles to past treatment protocols. Specifically, do these applied technologies increase live birth rates on a per cycle/first transfer basis?Materials and methodsAn observational, retrospective cohort study of first transfer outcomes was performed in two groups. Group 1 (PGS) included PGS/VTF-all cycles, and group 2 (no PGS) included the first transfer from non-PGS fresh cycles or VTF-ALL cycles. In group 1, all blastocysts were biopsied on days 5/6, vitrified and array CGH performed. Group 2 patients had embryo transfers on day 3 or day 5. All blastocysts were vitrified and warmed according to ?S-VTF protocols. Clinical pregnancies and implantation were confirmed by ultrasound and live birth information attained. Results were stratified by age with donor cycles excluded, and to eliminate bias, the same groups were then validated on a per cycle basis. Chi-squared used to determine significance.ResultsAnalyzing 287 embryo transfers and 1,000+ PGS-tested blastocysts, an overall 97 % increase in live births favored group 1 (PGS). When utilizing PGS/VTF-ALL cycles, patients under 43 years old exhibited higher implantation, clinical pregnancy, and ongoing/live birth rates. Re-analyzing the data to include all cycles initiated revealed higher live birth rates in group 1 age groups ?34 and 38-40 years old.ConclusionValidating PGS on a per cycle basis eliminated data bias by including patients without blastocysts to biopsy or euploid embryos. Clearly, PGS uses blastocysts more efficiently to achieve success, while many women over 40 may benefit most by understanding why some failures occur.SupportNone.
| S-EPMC5125149 | biostudies-literature
Project description:The use of d-level qudits instead of two-level qubits can largely increase the power of quantum logic for many applications, ranging from quantum simulations to quantum error correction. Magnetic molecules are ideal spin systems to realize these large-dimensional qudits. Indeed, their Hamiltonian can be engineered to an unparalleled extent and can yield a spectrum with many low-energy states. In particular, in the past decade, intense theoretical, experimental, and synthesis efforts have been devoted to develop quantum simulators based on molecular qubits and qudits. However, this remarkable potential is practically unexpressed, because no quantum simulation has ever been experimentally demonstrated with these systems. Here, we show the first prototype quantum simulator based on an ensemble of molecular qudits and a radiofrequency broadband spectrometer. To demonstrate the operativity of the device, we have simulated quantum tunneling of the magnetization and the transverse-field Ising model, representative of two different classes of problems. These results represent an important step toward the actual use of molecular spin qudits in quantum technologies.
| S-EPMC10785809 | biostudies-literature
Project description:(1) Background: Cardiac amyloidosis (CA) is a rare and complex condition with poor prognosis. While novel therapies improve outcomes, many affected individuals remain undiagnosed due to a lack of awareness among clinicians. This study was undertaken to develop an expert-independent machine learning (ML) prediction model for CA relying on routinely determined laboratory parameters. (2) Methods: In a first step, we developed baseline linear models based on logistic regression. In a second step, we used an ML algorithm based on gradient tree boosting to improve our linear prediction model, and to perform non-linear prediction. Then, we compared the performance of all diagnostic algorithms. All prediction models were developed on a training cohort, consisting of patients with proven CA (positive cases, n = 121) and amyloidosis-unrelated heart failure (HF) patients (negative cases, n = 415). Performances of all prediction models were evaluated on a separate prognostic validation cohort with 37 CA-positive and 124 CA-negative patients. (3) Results: Our best model, based on gradient-boosted ensembles of decision trees, achieved an area under the receiver operating characteristic curve (ROC AUC) score of 0.86, with sensitivity and specificity of 89.2% and 78.2%, respectively. The best linear model had an ROC AUC score of 0.75, with sensitivity and specificity of 84.6 and 71.7, respectively. (4) Conclusions: Our work demonstrates that ML makes it possible to utilize basic laboratory parameters to generate a distinct CA-related HF profile compared with CA-unrelated HF patients. This proof-of-concept study opens a potential new avenue in the diagnostic workup of CA and may assist physicians in clinical reasoning.
| S-EPMC7290438 | biostudies-literature
Project description:IntroductionThe phosphatidylinositol-3-kinase (PI3K) inhibitor alpelisib is the only approved agent for treating -PIK3CA-mutated, hormone receptor-positive (HR+) human epidermal growth factor receptor 2-negative (HER2-) advanced breast cancer (ABC). Trials have reported hyperglycemia, diarrhea, and rash as the main grade 3 side effects.MethodsIn a managed access program (ClinicalTrials.gov ID: NCT03706573; start: 06/2019), 8 HR+ HER2- ABC patients with a median 4.5 prior therapy lines were treated with alpelisib at the Breast Center of the Ludwig-Maximilian University (LMU) Hospital, Munich, based on the results of a new-generation sequencing (NGS) panel and PIK3CA mutation analysis by the Molecular Tumor Board of the Comprehensive Cancer Center, Munich.ResultsMedian therapy duration was 3.42 months for patients who discontinued and 3.95 months for those still on alpelisib (4 pts). Five had hyperglycemia (1 with grade 3) with fasting glucose levels of up to 450 mg/dL that required hospitalization and insulin therapy. Two experienced rash (grades 1 and 3) and 2 reported grade 3 diarrhea. Supportive therapy as well as interruption and/or dose reduction were necessary to control treatment-associated side effects.ConclusionPatient education and a well-trained, interdisciplinary team including diabetologists, from the initiation of alpelisib treatment onwards, are essential to safely treat ABC patients with this new drug and to maintain their quality of life and ensure their survival.
| S-EPMC8114069 | biostudies-literature
Project description:BackgroundMechanical labour induction with a transcervical balloon is as effective as pharmacological methods, with fewer adverse effects. Its use has been limited to labour induction with an unfavourable cervix able to retain the balloon. We have developed an innovative approach using 2-3 balloons side-by-side to extend the benefits of mechanical labour induction/augmentation with a favourable cervix without having to resort to amniotomy or uterotonics.ObjectivesTo assess the effectiveness of side-by-side balloons for extended labour induction/augmentation.MethodsWe conducted a single arm proof of concept trial at Princess Marina Hospital (PMH) in Gaborone, Botswana. Participants were assessed as unsuitable for single balloon labour induction based on a modified Bishop cervical score of 7 or more. Three Foley catheters taped symmetrically side by side were passed through the cervix and inflated with 60mls each. Traction was applied with a weight of 250mls water suspended over the bed-end. The use of uterotonics, time from induction to birth, mode of birth, Apgar scores and adverse maternal and neonatal outcomes were recorded. Participants' satisfaction with the method of labour induction was assessed using a descriptive scale.ResultsWe enrolled 20 participants of whom two were nulliparous. Indications for labour induction were mainly late term (70%) and hypertensive disorders of pregnancy (25%). The mean cervical score was 7.2. Overall, 17 (85%) of the participants achieved a vaginal birth, of whom 5 required oxytocin for labour augmentation. Four of these had requested removal of the balloons, one due to discomfort and three felt the process was taking too long. Three participants underwent caesarean birth. The mean time from initiation of labour induction to vaginal birth was 16 h (standard deviation (SD) 8.4) and 20 h for caesarean birth (SD 10.5). There were no 5-minute Apgar scores below 7 nor neonatal admissions. One baby required brief resuscitation. There were no adverse maternal outcomes.ConclusionThis proof-of-concept study suggests that use of side-by-side balloons in participants with favourable cervix is effective in achieving vaginal birth in most participants without uterotonics or amniotomy. There were no adverse outcomes, though the study was too small to exclude the possibility of rare adverse outcomes. This offers a novel option for labour induction/augmentation, particularly where uterotonics or amniotomy are best avoided such as prior caesarean birth, vertical infection transmission risk and in settings with limited capacity for fetal surveillance. The results clearly justify larger randomized trials to evaluate this novel approach with greater precision. On the basis of the current study we are developing a purpose-designed balloon for extended balloon labour induction.
| S-EPMC10462842 | biostudies-literature
Project description:BackgroundAlthough genetic profiling of tumors is a potentially powerful tool to predict drug sensitivity and resistance, its routine use has been limited because clinicians are often unfamiliar with interpretation and incorporation of the information into practice. We established a Molecular Tumor Board (MTB) to interpret individual patients' tumor genetic profiles and provide treatment recommendations.Patients and methodsDNA from tumor specimens was sequenced in a Clinical Laboratory Improvement Amendments-certified laboratory to identify coding mutations in a 50-gene panel (n = 34) or a 255-gene panel (n = 1). Cases were evaluated by a multidisciplinary MTB that included pathologists, oncologists, hematologists, basic scientists, and genetic counselors.ResultsDuring the first year, 35 cases were evaluated by the MTB, with 32 presented for recommendations on targeted therapies, and 3 referred for potential germline mutations. In 56.3% of cases, MTB recommended treatment with a targeted agent based on evaluation of tumor genetic profile and treatment history. Four patients (12.5%) were subsequently treated with a MTB-recommended targeted therapy; 3 of the 4 patients remain on therapy, 2 of whom experienced clinical benefit lasting >10 months.ConclusionFor the majority of cases evaluated, the MTB was able to provide treatment recommendations based on targetable genetic alterations. The most common reasons that MTB-recommended therapy was not administered stemmed from patient preferences and genetic profiling at either very early or very late stages of disease; lack of drug access was rarely encountered. Increasing awareness of molecular profiling and targeted therapies by both clinicians and patients will improve acceptance and adherence to treatments that could significantly improve outcomes.Implications for practiceCase evaluation by a multidisciplinary Molecular Tumor Board (MTB) is critical to benefit from individualized genetic data and maximize clinical impact. MTB recommendations shaped treatment options for the majority of cases evaluated. In the few patients treated with MTB-recommended therapy, disease outcomes were positive and support genetically informed treatment.
| S-EPMC4571816 | biostudies-literature