Effect of MAPK activation via mutations in NRAS, KRAS and BRAF on clinical outcome in newly diagnosed multiple myeloma.

Until now, next generation sequencing (NGS) data has not been incorporated into any prognostic stratification of multiple myeloma (MM) and no therapeutic considerations are based upon it. In this work, we correlated NGS data with (1) therapy response and survival parameters in newly diagnosed multiple myeloma, treated by VRd * and (2) MM disease stage: newly diagnosed multiple myeloma (ndMM) versus relapsed and/or refractory (relapsed/refractory multiple myeloma). We analyzed 126 patients, with ndMM and relapsed refractory multiple myeloma (rrMM), treated at the University Hospital of Bern (Inselspital). Next generation sequencing was performed on bone marrow, as part of routine diagnostics. The NGS panel comprised eight genes CCND1, DIS3, EGR1, FAM46C (TENT5C), FGFR3, PRDM1, TP53, TRAF3 and seven hotspots in BRAF, IDH1, IDH2, IRF4, KRAS, NRAS. The primary endpoint was complete remission (CR) after VRd in ndMM, in correlation with mutational profile. Mutational load was generally higher in rrMM, with more frequently mutated TP53: 11/87 (13%) in ndMM versus 9/11 (81%) in rrMM (OR 0.0857, p = 0.0007). In ndMM, treated by VRd, mutations in MAPK-pathway members (NRAS, KRAS or BRAF) were associated with reduced probability of CR (21/38, 55%), as compared with wild type NRAS, KRAS or BRAF (34/40, 85%; OR 0.2225, p = 0.006). NRAS c.181C > A (p.Q61K) as a single mutation event showed a trend to reduced probability of achieving CR (OR 0.0912, p = 0.0247). Activation of MAPK pathway via mutated NRAS, KRAS and BRAF genes seems to have a negative impact on outcome in ndMM patients receiving VRd therapy. VRd* - bortezomib (Velcade®), lenalidomide (Revlimid®) and dexamethasone.

Final 3-Year Outcomes of a Randomized Trial Comparing a Self-Expanding to a Balloon-Expandable Transcatheter Aortic Valve.

BACKGROUND: In the SCOPE I trial (Safety and Efficacy of the Symetis ACURATE Neo/TF Compared to the Edwards SAPIEN 3 Bioprosthesis), transcatheter aortic valve implantation with the self-expanding ACURATE neo (NEO) did not meet noninferiority compared with the balloon-expandable SAPIEN 3 (S3) device regarding a composite end point at 30 days due to higher rates of prosthetic valve regurgitation and acute kidney injury. Data on long-term durability of NEO are scarce. Here, we report whether early differences between NEO and S3 translate into differences in clinical outcomes or bioprosthetic valve failure 3 years after transcatheter aortic valve implantation. METHODS: Patients with severe aortic stenosis were randomized to transfemoral transcatheter aortic valve implantation with NEO or S3 at 20 European centers. Clinical outcomes at 3 years are compared using Cox proportional or Fine-Gray subdistribution hazard models by intention-to-treat. Bioprosthetic valve failure is reported for the valve-implant cohort. RESULTS: Among 739 patients, 84 of 372 patients (24.3%) had died in the NEO and 85 of 367 (25%) in the S3 group at 3 years. Comparing NEO with S3, the 3-year rates of all-cause death (hazard ratio, 0.98 [95% CI, 0.73-1.33]), stroke (subhazard ratio, 1.04 [95% CI, 0.56-1.92]), and hospitalization for congestive heart failure (subhazard ratio, 0.74 [95% CI, 0.51-1.07]) were similar between the groups. Aortic valve reinterventions were required in 4 NEO and 3 S3 patients (subhazard ratio, 1.32 [95% CI, 0.30-5.85]). New York Heart Association functional class ≤II was observed in 84% (NEO) and 85% (S3), respectively. Mean gradients remained lower after NEO at 3 years (8 versus 12 mm Hg; P<0.001). CONCLUSIONS: Early differences between NEO and S3 did not translate into significant differences in clinical outcomes or bioprosthetic valve failure throughout 3 years. REGISTRATION: URL: https://clinicaltrials.gov, Unique identifier: NCT03011346.

Development and validation of explainable machine learning models for risk of mortality in transcatheter aortic valve implantation: TAVI risk machine scores.

Aims: Identification of high-risk patients and individualized decision support based on objective criteria for rapid discharge after transcatheter aortic valve implantation (TAVI) are key requirements in the context of contemporary TAVI treatment. This study aimed to predict 30-day mortality following TAVI based on machine learning (ML) using data from the German Aortic Valve Registry. Methods and results: Mortality risk was determined using a random forest ML model that was condensed in the newly developed TAVI Risk Machine (TRIM) scores, designed to represent clinically meaningful risk modelling before (TRIMpre) and in particular after (TRIMpost) TAVI. Algorithm was trained and cross-validated on data of 22 283 patients (729 died within 30 days post-TAVI) and generalisation was examined on data of 5864 patients (146 died). TRIMpost demonstrated significantly better performance than traditional scores [C-statistics value, 0.79; 95% confidence interval (CI)] [0.74; 0.83] compared to Society of Thoracic Surgeons (STS) with C-statistics value 0.69; 95%-CI [0.65; 0.74]). An abridged (aTRIMpost) score comprising 25 features (calculated using a web interface) exhibited significantly higher performance than traditional scores (C-statistics value, 0.74; 95%-CI [0.70; 0.78]). Validation on external data of 6693 patients (205 died within 30 days post-TAVI) of the Swiss TAVI Registry confirmed significantly better performance for the TRIMpost (C-statistics value 0.75, 95%-CI [0.72; 0.79]) compared to STS (C-statistics value 0.67, CI [0.63; 0.70]). Conclusion: TRIM scores demonstrate good performance for risk estimation before and after TAVI. Together with clinical judgement, they may support standardised and objective decision-making before and after TAVI.

Present Practice of Radiative Deep Hyperthermia in Combination with Radiotherapy in Switzerland.

BACKGROUND: Moderate hyperthermia is a potent and evidence-based radiosensitizer. Several indications are reimbursed for the combination of deep hyperthermia with radiotherapy (dHT+RT). We evaluated the current practice of dHT+RT in Switzerland. METHODS: All indications presented to the national hyperthermia tumor board for dHT between January 2017 and June 2021 were evaluated and treatment schedules were analyzed using descriptive statistics. RESULTS: Of 183 patients presented at the hyperthermia tumor board, 71.6% were accepted and 54.1% (99/183) finally received dHT. The most commonly reimbursed dHT indications were "local recurrence and compression" (20%), rectal (14.7%) and bladder (13.7%) cancer, respectively. For 25.3% of patients, an individual request for insurance cover was necessary. 47.4% of patients were treated with curative intent; 36.8% were in-house patients and 63.2% were referred from other hospitals. CONCLUSIONS: Approximately two thirds of patients were referred for dHT+RT from external hospitals, indicating a general demand for dHT in Switzerland. The patterns of care were diverse with respect to treatment indication. To the best of our knowledge, this study shows for the first time the pattern of care in a national cohort treated with dHT+RT. This insight will serve as the basis for a national strategy to evaluate and expand the evidence for dHT.

Association Between Lifetime Marijuana Use and Cognitive Function in Middle Age: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.

IMPORTANCE: Marijuana use is increasingly common in the United States. It is unclear whether it has long-term effects on memory and other domains of cognitive function. OBJECTIVE: To study the association between cumulative lifetime exposure to marijuana use and cognitive performance in middle age. DESIGN, SETTING, AND PARTICIPANTS: We used data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a cohort of 5115 black and white men and women aged 18 to 30 years at baseline from March 25, 1985, to June 7, 1986 (year 0), and followed up over 25 years from June 7, 1986, to August 31, 2011, to estimate cumulative years of exposure to marijuana (1 year = 365 days of marijuana use) using repeated measures and to assess associations with cognitive function at year 25. Linear regression was used to adjust for demographic factors, cardiovascular risk factors, tobacco smoking, use of alcohol and illicit drugs, physical activity, depression, and results of the mirror star tracing test (a measure of cognitive function) at year 2. Data analysis was conducted from June 7, 1986, to August 31, 2011. MAIN OUTCOMES AND MEASURES: Three domains of cognitive function were assessed at year 25 using the Rey Auditory Verbal Learning Test (verbal memory), the Digit Symbol Substitution Test (processing speed), and the Stroop Interference Test (executive function). RESULTS: Among 3385 participants with cognitive function measurements at the year 25 visit, 2852 (84.3%) reported past marijuana use, but only 392 (11.6%) continued to use marijuana into middle age. Current use of marijuana was associated with worse verbal memory and processing speed; cumulative lifetime exposure was associated with worse performance in all 3 domains of cognitive function. After excluding current users and adjusting for potential confounders, cumulative lifetime exposure to marijuana remained significantly associated with worse verbal memory. For each 5 years of past exposure, verbal memory was 0.13 standardized units lower (95% CI, -0.24 to -0.02; P = .02), corresponding to a mean of 1 of 2 participants remembering 1 word fewer from a list of 15 words for every 5 years of use. After adjustment, we found no associations with lower executive function (-0.03 [95% CI, -0.12 to 0.07]; P = .56) or processing speed (-0.04 [95% CI, -0.16 to 0.08]; P = .51). CONCLUSIONS AND RELEVANCE: Past exposure to marijuana is associated with worse verbal memory but does not appear to affect other domains of cognitive function.