Citations

Abstract Background: Although colorectal cancer survival rates are improving, the risk of incident type 2 diabetes mellitus (T2D) among Asian, Native Hawaiian, and Pacific Islander (ANHPI) ethnic groups is poorly understood. This study aims to identify high-risk groups and quantify the risk across different periods. Methods: Using the SEER–Medicare database, colorectal cancer survivors who were ANHPI were matched to non-Hispanic White (NHW) survivors at a ratio of 1:3. Multivariable Cox regression models computed HRs and 95% confidence intervals (CI) for incident T2D. Results: The study included 6,463 NHW and 2,901 ANHPI colorectal cancer survivors diagnosed between 2000 and 2017. Among them, 715 NHW and 484 ANHPI developed T2D during 39,097 and 10,769 person-years of follow-up, respectively. ANHPI colorectal cancer survivors had an elevated T2D risk compared with NHW across all follow-up periods (HRoverall: 1.84, 95% CI, 1.51–2.25; HR1–5 years: 1.83, 95% CI, 1.45–2.30). Southeast and East Asians demonstrated the highest T2D risks. Colon cancer was linked to early postdiagnosis T2D risk, whereas rectal cancer was associated with later risk. No significant association was observed for Native Hawaiians and Pacific Islanders. Conclusions: ANHPI colorectal cancer survivors face a greater risk of T2D, particularly among Southeast and East Asians. These findings highlight the need for evidence-based survivorship strategies to prevent T2D and reduce ethnic disparities. Impact: This is the first study to examine T2D risk among ANHPI colorectal cancer survivors, providing critical insights to inform tailored diabetes prevention and survivorship care.

Abstract Melanoma is characterized by its rapid progression and high mortality rates, making early and accurate detection essential for improving patient outcomes. This paper presents a comprehensive review of significant advancements in early melanoma detection, with a focus on integrating computer vision and deep learning techniques. This study investigates cutting-edge neural networks such as YOLO, GAN, Mask R-CNN, ResNet, and DenseNet to explore their application in enhancing early melanoma detection and diagnosis. These models were critically evaluated for their capacity to enhance dermatological imaging and diagnostic accuracy, crucial for effective melanoma treatment. Our research demonstrates that these AI technologies refine image analysis and feature extraction, and enhance processing capabilities in various clinical settings. Additionally, we emphasize the importance of comprehensive dermatological datasets such as PH2, ISIC, DERMQUEST, and MED-NODE, which are crucial for training and validating these sophisticated models. Integrating these datasets ensures that the AI systems are robust, versatile, and perform well under diverse conditions. The results of this study suggest that the integration of AI into melanoma detection marks a significant advancement in the field of medical diagnostics and is expected to have the potential to improve patient outcomes through more accurate and earlier detection methods. Future research should focus on enhancing these technologies further, integrating multimodal data, and improving AI decision interpretability to facilitate clinical adoption, thus transforming melanoma diagnostics into a more precise, personalized, and preventive healthcare service.

Abstract While tissue-resident memory CD8+ T cells (TRM cells) provide superior frontline defense against pathogens, the molecular mechanisms governing their persistence and functional regulation remain poorly defined. Our study reveals that the costimulatory receptors CD27 and ICOS coordinately sustain PD-1high CD8+ TRM cell populations following resolution of acute influenza infection. These costimulatory signals serve as critical targets for PD-1/PD-L1 blockade, thereby facilitating the rejuvenation of PD-1high TRM cells and influencing the progression of fibrotic sequelae during the memory phase. Mechanistic dissection identifies the nuclear receptor Nur77 (NR4A1) as the convergent transcriptional hub downstream of CD27/ICOS, governing proliferative renewal and maintenance of PD-1high TRM cells. Therapeutic administration of a CD27 agonist not only amplified this TRM cell subset in late-stage memory but also conferred cross-protective immunity against heterosubtypic viral challenges. Clinically, the expression of CD27 and ICOS is enriched in CD8+ T cells within the lung tissues of patients with pulmonary fibrosis. Collectively, our findings establish the "CD27/ICOS-NR4A1-Proliferation" axis as a linchpin of PD-1/PD-L1-mediated TRM cell homeostasis, revealing druggable targets for intercepting infection-associated fibrotic progression.

Abstract ZUMA-8 evaluated the safety of brexucabtagene autoleucel (brexu-cel), a CD19-directed autologous chimeric antigen receptor (CAR) T-cell immunotherapy, for patients with relapsed/refractory chronic lymphocytic leukemia (R/R CLL). Patients with ≥2 prior lines of therapy (including a Bruton tyrosine kinase inhibitor) underwent leukapheresis, optional bridging therapy, and conditioning chemotherapy (fludarabine/cyclophosphamide) before infusion of 1 × 106 (cohort 1) or 2 × 106 (cohort 2) anti-CD19 CAR T cells per kg. Patients in cohort 3 (low tumor burden), and cohort 4A (postibrutinib) received 1 × 106 cells per kg. Fifteen patients, median age of 63 years (range, 52-79), were treated in cohorts 1 (n = 6), 2 (n = 3), 3 (n = 3), and 4A (n = 3). Median follow-up was 24.3 months. One dose-limiting toxicity was observed in cohort 3 (grade 4 cytokine release syndrome). Grade ≥3 neurologic events occurred in 3 patients (20%). Seven of 15 patients responded (overall response rate, 47%; complete response [CR], 7%), including all 3 patients in cohort 3 (1 with CR). CAR T-cell expansion occurred in 4 patients (27%), with an apparent weak inverse correlation with absolute lymphocyte count before apheresis. Brexu-cel had no new safety signals in R/R CLL. CAR T-cell expansion and responses occurred in patients with low tumor burden. This trial was registered at www.clinicaltrials.gov as #NCT03624036.

Abstract Oncogenic translocations involving the MET gene have been reported in several cancer types, but detailed clinicogenomic characterization of these cancers is not well defined. In addition, prospective clinical trials evaluating the antitumor activity of MET inhibitors in MET rearrangement–positive cancers are limited. In this study, in a pan-cancer analysis of >46,000 solid tumors with comprehensive genomic profiling, we identified oncogenic MET rearrangements in ∼0.04% of cancers. Preliminary analysis from a phase II clinical trial of the type I MET tyrosine kinase inhibitor (TKI) vebreltinib in MET fusion–positive solid tumors demonstrated an objective response rate of 50% and disease control rate of 79%, with antitumor activity seen in diverse cancer types, including lung adenocarcinoma and intrahepatic cholangiocarcinoma, among others. Similar to MET exon 14–altered lung cancer, secondary mutations in the kinase domain can confer resistance to MET TKIs in MET fusion–positive cancers. Overall, these data categorize MET rearrangements as actionable targets in solid tumors. Significance: MET rearrangement–positive cancers are not well-characterized, and optimal treatment strategies are yet to be defined. Through comprehensive genomic analysis, preclinical modeling, and preliminary results of a phase II clinical trial, we demonstrate that MET fusions are a unique molecular subtype of cancers targetable with vebreltinib, a TKI in development.