Citations

Background: Due to lacking evidence on surveillance for gastric cancer (GC), this study aimed to determine the optimal postsurgical surveillance strategy for pathological stage (pStage) II/III GC patients and compare its cost-effectiveness with traditional surveillance strategies. Methods: Prospectively collected data from stage II/III GC patients (n=1661) who underwent upfront surgery at a large-volume tertiary cancer center in China (FJMUUH cohort) between January 2010 and October 2015. For external validation, two independent cohorts were included, which were composed of 380 stage II/III GC patients at an tertiary cancer center in U.S.A (Mayo cohort) between July 1991 and July 2012 and 270 stage II/III GC patients at another tertiary cancer center in China (QUAH cohort) between May 2010 and October 2014. Random forest models were used to predict dynamic recurrence hazards and to construct individual surveillance strategies for stage II/III GC. Cost-effectiveness was assessed by the Markov model. Results: The median follow-up period of the FJMUUH, the Mayo, and QUAH cohorts were 55, 158, and 70 months, respectively. In the FJMUUH cohort, the 5-year recurrence risk was higher in pStage III compared with pStage II GC patients (P<0.001). Our novel individual surveillance strategy achieved optimal cost-effectiveness for pStage II GC patients (ICER =$490/QALY). The most intensive NCCN surveillance guideline was more cost-effective (ICER =$983/QALY) for pStage III GC patients. The external validations confirmed our results. Conclusion: For patients with pStage II GC, individualized risk-based surveillance outperformed the JGCTG and NCCN surveillance guidelines. However, the NCCN surveillance guideline may be more suitable for patients with pStage III GC. Even though our results are limited by the retrospective study design, the authors believe that our findings should be considered when recommending postoperative surveillance for stage II/III GC with upfront surgery in the absence of a randomized clinical trial.

Bifurcation lesions account for 20% of all percutaneous coronary interventions and represent a complex subset which are associated with lower procedural success and higher rates of restenosis [...]

AbstractMeta‐analysis is commonly used to combine results from multiple clinical trials, but traditional meta‐analysis methods do not refer explicitly to a population of individuals to whom the results apply and it is not clear how to use their results to assess a treatment's effect for a population of interest. We describe recently‐introduced causally interpretable meta‐analysis methods and apply their treatment effect estimators to two individual‐participant data sets. These estimators transport estimated treatment effects from studies in the meta‐analysis to a specified target population using the individuals' potentially effect‐modifying covariates. We consider different regression and weighting methods within this approach and compare the results to traditional aggregated‐data meta‐analysis methods. In our applications, certain versions of the causally interpretable methods performed somewhat better than the traditional methods, but the latter generally did well. The causally interpretable methods offer the most promise when covariates modify treatment effects and our results suggest that traditional methods work well when there is little effect heterogeneity. The causally interpretable approach gives meta‐analysis an appealing theoretical framework by relating an estimator directly to a specific population and lays a solid foundation for future developments.

The utilization of transcatheter aortic valve implantation (TAVI) has become the treatment of choice in patients with severe aortic stenosis (AS) with intermediate-to-high surgical risk for surgical aortic valve replacement (SAVR) [...]

AbstractBackgroundFerroptosis is an important iron‐dependent form of cell death in hepatocellular carcinoma (HCC). Sorafenib, a potent ferroptosis inducer, is used to treat advanced HCC but its efficacy is limited by the development of drug resistance.MethodsThe effects of DUXAP8 expression on HCC progression were evaluated by TCGA database, Kaplan‐Meier analysis, and in situ hybridization analysis. Sorafenib resistant HCC cell lines were modeled in vitro to study the regulation of DUXAP8 on ferroptosis in HCC induced by sorafenib. We used RNA pull‐down, immunofluorescence assays, acyl‐biotinyl exchange assay and mass spectrometry analysis to assess the molecular mechanism of ferroptosis regulation by DUXAP8. Syngeneic subcutaneous and orthotopic CDX models were used to assess whether DUXAP8 inhibition improves HCC in vivo.ResultsLncRNA DUXAP8, which is highly expressed in liver cancer and associated with poor prognosis, contributes to sorafenib resistance through suppression of ferroptosis. In vitro tests revealed that DUXAP8 reduced the sensitivity of HCC to sorafenib‐induced ferroptosis by acting on SLC7A11, a subunit of the amino acid antiporter system xc‐. DUXAP8 facilitates SLC7A11 palmitoylation and impedes its lysosomal degradation, thereby enhancing SLC7A11 action and suppressing ferroptosis. RNA pull‐down and immunofluorescence assays confirmed that DUXAP8 decreased membrane translocation and promoted sorting of de‐palmitoylated SLC7A11 to lysosomes by binding of DUXAP8 to SLC7A11. In addition, mass spectrometric analysis found that the Cys414 residue of SLC7A11 might be the predominant mutant site responsible for molecular masking of SLC7A11 lysosomal sorting. Further, the antitumor effect of DUXAP8 knockdown was verified in orthotopic and subcutaneous CDX models.ConclusionsOur findings suggest that a novel translational strategy combining sorafenib with DUXAP8 silencing to overcome drug resistance may improve treatment efficacy in patients with advanced HCC.

Abstract Background Early-stage breast cancer is among the most common cancer diagnoses. Adjuvant radiotherapy is an essential component of breast-conserving therapy, and several options exist for tailoring its extent and duration. This study assesses the comparative effectiveness of partial-breast irradiation (PBI) compared with whole-breast irradiation (WBI). Methods A systematic review was completed to identify relevant randomized clinical trials and comparative observational studies. Independent reviewers working in pairs selected studies and extracted data. Randomized trial results were pooled using a random effects model. Prespecified main outcomes were ipsilateral breast recurrence (IBR), cosmesis, and adverse events (AEs). Results Fourteen randomized clinical trials and 6 comparative observational studies with 17 234 patients evaluated the comparative effectiveness of PBI. PBI was not statistically significantly different from WBI for IBR at 5 years (RR = 1.34, 95% CI = 0.83 to 2.18; high strength of evidence [SOE]) and 10 years (RR = 1.29, 95% CI = 0.87 to 1.91; high SOE). Evidence for cosmetic outcomes was insufficient. Statistically significantly fewer acute AEs were reported with PBI compared with WBI, with no statistically significant difference in late AEs. Data from subgroups according to patient, tumor, and treatment characteristics were insufficient. Intraoperative radiotherapy was associated with higher IBR at 5, 10, and over than 10 years (high SOE) compared with WBI. Conclusions Ipsilateral breast recurrence was not statistically significantly different between PBI and WBI. Acute AEs were less frequent with PBI. This evidence supports the effectiveness of PBI among selected patients with early-stage, favorable-risk breast cancer who are similar to those represented in the included studies.

7509 Background: Axicabtagene ciloleucel (axi-cel) is an autologous CAR T approved for adult patients (pts) with r/r FL after ≥ 2 lines of systemic therapy. In the primary analysis of the pivotal ZUMA-5 trial, 94% of pts who received axi-cel to treat r/r FL achieved an objective response, with a 79% CR rate (Jacobson et al. 2022). Grade ≥ 3 cytokine release syndrome (CRS) and neurologic events occurred in 6% and 15% of pts, respectively. Here, we present the real-world outcomes of pts receiving axi-cel for r/r FL, including those who would have been ineligible for ZUMA-5. Methods: A total of 230 pts from 72 US centers receiving first axi-cel for r/r FL in the real-world setting between March 2021 and October 2022 were identified from the CIBMTR registry. The following pts were excluded: no consent, prior non-transplant cellular therapy, and FL grade 3b or 3a/3b unspecified. Of the 230 pts, 151 pts had post-infusion assessments and were included in the analysis of outcomes. Effectiveness outcomes were ORR, CR, DOR, PFS and OS. Adverse events included CRS, immune effector cell-associated neurotoxicity syndrome (ICANS) and prolonged cytopenia. Results: Of the 230 pts, median age was 62 years and 60% were male. Prior to infusion, 98% had an ECOG performance score of 0-1, 33% had elevated LDH, and 66% were chemo-resistant. Clinically significant comorbidities were present in 74% of the pts. Ninety-two (40%) pts would have been ineligible for ZUMA-5, mainly due to comorbidities. Pts had a median of 4 (range 1-13) lines of prior therapy including 14% who also underwent prior ASCT. Median time from leukapheresis to infusion was 28 days (IQR 26-34). 9% of pts received bridging therapy. Outcomes were analyzed among the 151 pts with follow-up (median 6.2 mo). ORR and CR rates were 93% (95% CI 88-97%) and 84% (95% CI 77-89%), respectively. Estimated PFS and OS at 6 mo were 88% (95% CI 81-92%) and 96% (95% CI 91-98%), respectively. Grade ≥ 3 CRS (ASTCT consensus) and ICANS (ASTCT consensus) occurred in 2% (95% CI 0-6%) and 13% (95% CI 8-19%) of pts, respectively. Median cumulative incidence estimates of CRS resolution was 5 days and ICANS resolution was 4 days. Among pts alive at Day 30 (n = 150), 11% experienced prolonged cytopenia (4% neutropenia, 9% thrombocytopenia). PFS and OS at 6 mo were comparable regardless of ZUMA-5 eligibility, while pts eligible for ZUMA-5 had fewer Grade ≥ 3 ICANS (10% vs 16%) and more rapid ICANS resolution (92% vs 71% resolved within 2 weeks). Pts aged ≥ 65 vs < 65 years had comparable effectiveness and safety profiles. Conclusions: This is the first report on axi-cel to treat r/r FL in real-world settings. Despite a broader pt population, early results demonstrate effectiveness and safety profiles consistent with those observed in the ZUMA-5 trial. The intent is to present findings from an updated dataset with longer follow-up at ASCO. Overall, these findings support the continued broad use of axi-cel to treat r/r FL.

Primary care has the potential to be transformed by artificial intelligence (AI) and, in particular, machine learning (ML). This review summarizes the potential of ML and its subsets in influencing two domains of primary care: pre-operative care and screening. ML can be utilized in preoperative treatment to forecast postoperative results and assist physicians in selecting surgical interventions. Clinicians can modify their strategy to reduce risk and enhance outcomes using ML algorithms to examine patient data and discover factors that increase the risk of worsened health outcomes. ML can also enhance the precision and effectiveness of screening tests. Healthcare professionals can identify diseases at an early and curable stage by using ML models to examine medical pictures, diagnostic modalities, and spot patterns that may suggest disease or anomalies. Before the onset of symptoms, ML can be used to identify people at an increased risk of developing specific disorders or diseases. ML algorithms can assess patient data such as medical history, genetics, and lifestyle factors to identify those at higher risk. This enables targeted interventions such as lifestyle adjustments or early screening. In general, using ML in primary care offers the potential to enhance patient outcomes, reduce healthcare costs, and boost productivity.