Citations

WITHDRAWN

Abstract Overall response (OR) that combines complete (CR) and partial responses (PR) is the conventional end point for acute graft-versus-host disease (GVHD) trials. Because PR includes heterogeneous clinical presentations, reclassifying PR could produce a better end point. Patients in the primary treatment cohort from the Japanese Society for Transplantation and Cellular Therapy (JSTCT) were randomly divided into training and validation sets. In the training set, a classification and regression tree algorithm generated day 28 refined response (RR) criteria based on symptoms at treatment and day 28. We then evaluated RR for primary and second-line treatments, using the area under the receiver operating characteristic curve (AUC) and negative predictive value (NPV) for 6-month nonrelapse mortality as performance measures. RR considered patients with grade 0/1 at day 28 without additional treatment as responders. RR for primary treatment produced higher AUCs than OR with small improvement of NPVs in both validation sets: JSTCT (AUC, 0.73 vs 0.69 [P < .001]; NPV, 92.0% vs 89.6% [P < .001]) and the Mount Sinai Acute GVHD International Consortium (MAGIC; AUC, 0.71 vs 0.68 [P = .032]; NPV, 90.9% vs 89.8% [P = .009]). RR for second-line treatment produced similar AUCs but much higher NPVs than OR in both validation sets of JSTCT (AUC, 0.64 vs 0.63 [P = .775]; NPV, 74.5% vs 66.0% [P < .001]) and MAGIC (AUC, 0.67 vs 0.64 [P = .105]; NPV, 86.8% vs 76.1% [P = .004]). Classifying persistent but mild skin symptoms as responses and residual lower gastrointestinal GVHD as nonresponses were major drivers in improving the prognostic performance of RR. Our externally validated day 28 RR would serve as a better end point than conventional criteria in future first- and second-line treatment trials.

Abstract We conducted a post hoc analysis of data from Blood and Marrow Transplant Clinical Trials Network 1506 (MORPHO), a randomized trial of gilteritinib vs placebo as posttransplantation maintenance for patients with FLT3-ITD–mutated acute myeloid leukemia (AML) undergoing allogeneic hematopoietic cell transplantation (HCT), focusing the interactions between conditioning regimen intensity, measurable residual disease (MRD), and NPM1 comutation status reported from diagnosis. Comparing FLT3-ITD MRD before and after conditioning, there was no difference between myeloablative conditioning (MAC) and reduced-intensity conditioning (RIC) in eradication or reduction of FLT3-ITD MRD. For participants who were FLT3-ITD MRD negative before HCT, there was no difference in the cumulative incidence of relapse during follow-up between those receiving MAC vs RIC. NPM1 comutation was associated with the largest magnitude of relapse-free survival benefit from post-HCT gilteritinib, and in these participants, post-HCT gilteritinib in the setting of RIC appeared to be as effective as MAC at preventing relapse. MAC appeared superior to RIC in preventing relapse only in participants who were NPM1 wild type at diagnosis and FLT3-ITD MRD positive before HCT. Our findings suggest that only a subset of patients with FLT3-ITD AML undergoing HCT may benefit from MAC and that, similar to AML therapy before HCT, the intensity of the HCT regimen should be adapted according to the molecular features of the disease. This trial was registered at www.clinicaltrials.gov as #NCT02997202.

Triple-negative breast cancer (TNBC) represents the most malignant subtype of breast cancer. The clinical application of PARP inhibitors (PARPi) is limited by the low frequency of BRCA1/2 mutations in TNBC. Here, we identified that MTAP deletion sensitized genotoxic agents in our clinical cohort of metastatic TNBC. Further study demonstrated that MTAP deficiency or inhibition rendered TNBC susceptibility to chemotherapeutic agents, particularly PARPi. Mechanistically, targeting MTAP that synergized with PARPi by disrupting the METTL16-MAT2A axis involved in methionine metabolism and depleting in vivo s-adenosylmethionine (SAM) levels. Exhausted SAM in turn impaired PARPi-induced DNA damage repair through attenuation of MRE11 recruitment and end resection by diminishing MRE11 methylation. Notably, brain metastatic TNBC markedly benefited from a lower dose of PARPi and MTAP deficiency/inhibition synergy due to the inherently limited methionine environment in the brain. Collectively, our findings revealed a feed-forward loop between methionine metabolism and DNA repair through SAM, highlighting a therapeutic strategy of PARPi combined with MTAP deficiency/inhibition for TNBC.

PURPOSE Despite international medical graduates (IMGs) accounting for up to one third of all practicing oncologists in the United States, and nearly half of fellowship trainees, little is known about their contributions to presentations at international oncology meetings. Therefore, we investigated the representation of IMGs in invited faculty roles at the ASCO Annual Meeting as a representative example. METHODS Presentation data from ASCO 2022 and 2023 Annual Meetings were obtained from program guides. We collected presentation-level and speaker-level variables of invited faculty roles and original research. Speakers were categorized as American medical graduate (AMG), IMG, non–US-based, or non-MD (Doctor of Medicine). Univariable and multivariable analyses assessed factors influencing selection for invited faculty roles. RESULTS A total of 2,590 presentations by 2,109 unique speakers were reviewed, including primary research presenters and invited faculty. Among the 1,352 presentations by AMGs, 30% were primary research and 70% were invited faculty roles. For the 374 presentations by IMGs, 41% were primary research and 59% were invited faculty roles. Notably, first-author IMGs were significantly less likely to receive invited faculty roles relative to their primary research output compared with first-author AMGs (adjusted odds ratio, 0.69 [95% CI, 0.53 to 0.90]; P = .006), even when accounting for academic rank, presumed sex, and year. CONCLUSION Relative to IMGs' original research output, IMGs appear to receive fewer invitations for ASCO Annual Meeting invited faculty roles compared with AMGs. Our findings suggest potential underrepresentation and under-recognition of IMGs in these roles, despite their contributions to the oncology workforce in the United States.

ABSTRACT Bipolar disorder’s (BD) clinical heterogeneity has an unresolved genetic basis. We meta-analyzed genome-wide association studies (GWAS) of 16 BD subphenotypes in 226,032 individuals from 57 cohorts (38,022 cases); 10 advanced to multivariate and multi-trait analyses. Four factors (compulsive, psychotic, dysregulated, internalizing) explained 82.8% of shared genetic variance. BD1 and BD2 loaded on distinct factors despite a high genetic correlation; 87.0% of common-factor loci were significant in neither subtype. Unipolar mania aligned with psychosis over internalizing, and was distinguishable from BD1, and rapid cycling showed heritable cross-domain liability. We identified 356 risk loci, 158 novel, including the first univariate-GWAS associations for psychosis, unipolar mania, rapid cycling and schizoaffective disorder—and 249 credible genes (89 high-confidence), 12 with approved-drug or clinical-phase annotations. Cell-type association showed a midbrain dopaminergic–GABAergic gradient along the psychotic factor. BD’s genetic architecture appears hierarchical—a general liability resolving into dimensions of course and comorbidity beyond diagnostic subtypes.

AbstractBackgroundGastric cancer with synchronous peritoneal metastases is a debilitating disease with limited treatment options. This article describes an update of the 2018 Chicago Consensus guidelines addressing the management of gastric cancer with synchronous peritoneal metastases in line with the most recent evidence.MethodsA clinical management pathway was updated through two rounds of a Delphi consensus to assess agreement levels with pathway blocks. Supporting evidence underwent evaluation using a rapid literature review. Meta‐analyses were performed as appropriate.ResultsOverall, the level of evidence in this disease subset was low to moderate. Of 124 participants in the first round, 109 (88%) responded in the second round. Strong consensus (>90%) was achieved in six of eight blocks (75%) in rounds 1 and 2. A multidisciplinary preoperative assessment and diagnostic laparoscopy should be offered to all patients, whereas patients with a high burden of disease or progression should undergo nonsurgical management. Patients with stable/responsive disease and a low peritoneal carcinomatosis index should subsequently be offered treatment with regional therapeutic interventions and cytoreductive surgery. In patients who are cytology‐positive, systemic therapy can be used to convert them to cytology‐negative, with subsequent surgery offered according to the patient's goals of care. Meta‐analysis of observational and randomized control trials revealed a survival benefit with the addition of intraperitoneal chemotherapy to cytoreductive surgery (hazard ratio, 0.52).ConclusionsThe consensus‐driven clinical pathway for gastric cancer with synchronous peritoneal metastases offers vital clinical guidance for practitioners. There is a growing body of high‐quality evidence to support management strategies, and future clinical trials are eagerly awaited.

AbstractNeuroendocrine neoplasms (NENs) with peritoneal metastases (PM) represent a complex clinical challenge because of low incidence and heterogeneous phenotypes. This commentary describes the results of a national consensus aimed at addressing clinical management of patients with NENs and PM. An update of the 2018 Chicago consensus guidelines was conducted with a modified Delphi technique, which encompassed two rounds of voting. The levels of agreement for various pathway blocks were assessed, and key systemic therapy concepts were summarized by content experts. Supporting evidence was evaluated via a rapid literature review. Overall, the level of evidence for the management of PM in this disease was universally low. In total, 107 participants responded in the first round, with 88 of 107 (82%) participating in the second round. Strong consensus (>90%) was achieved in five of seven (71%) and seven of seven (100%) blocks in rounds 1 and 2, respectively. A multidisciplinary approach including psychosocial and wellness assessments received a strong positive recommendation. Management of NENs with PM was organized according to disease grade and symptom profiles. In grade 1 and 2 well‐differentiated NENs, cytoreductive surgery received strong support (>95%) after the management of functional syndromes (if present). For grade 3 well‐differentiated NENs, systemic therapy is the primary recommendation, with surgical resection considered in select cases. Given the limited evidence, the consensus‐driven clinical pathway offers vital clinical guidance for the management of NENs with PM. The need for high‐quality evidence remains critical to the field.

Abstract Aims Syncope remains a diagnostic challenge despite advancements in testing and treatment. Cardiac syncope is an independent predictor of mortality and can be difficult to distinguish from other causes of transient loss of consciousness (TLOC). This paper explores whether artificial intelligence (AI) can improve the evaluation and management of patients with syncope. Methods and results We conducted a literature review and incorporated the opinions of experts in the fields of syncope and AI. The cause of TLOC is often unclear, hospitalization criteria are ambiguous, diagnostic tests are frequently non-informative, and assessments are costly. Patients are left with unanswered questions and limited guidance. Artificial intelligence (AI) has the potential to optimize syncope evaluation by processing large data sets, detecting imperceptible patterns, and assisting clinicians. However, AI has limitations, including errors, lack of human empathy, and uncertain clinical utility. Liability issues further complicate its integration. We present three viewpoints: (i) AI is crucial for advancing syncope management; (ii) AI can enhance the patient experience; and (iii) AI in syncope care is inevitable. Conclusion Artificial intelligence may improve syncope diagnosis and management, particularly through machine learning–based test interpretation and wearable device data. However, it has yet to surpass human clinical judgment in complex decision-making. Current challenges include gaps in understanding syncope mechanisms, AI interpretability, generalizability, and clinical integration. Standardized diagnostic approaches, real-world validation, and curated data sets are essential for progress. Artificial intelligence may enhance efficiency and communication but raises concerns regarding confidentiality, bias, inequities, and legal implications.