Elevated pre-CRT CEA levels and current smoking status were associated with a more than two fold increase in the risk of a higher TRG after NACRT. Moreover, smoking was a significant risk factor for poor OS in patients with LARC following NACRT.
We report that post-neoadjuvant modified Glasgow prognostic score associated with poorer response and regression, potentially indicating that radiation resistance is associated with the development of a protumor inflammatory environment. Further work is required to define the local intratumoral processes associated with response and their inter-relationship with systemic parameters. Ultimately, there may be a rationale for testing anti-inflammatory strategies in combination with radiotherapy as an option for optimizing treatment response. See Video Abstract.
AF1q is expressed in RC, especially after short-term radiation therapy. Here, AF1q may support tumor suppression, possibly through the involvement of the pro-apoptotic STAT1 axis. Further mechanistic evidence and investigation involving a larger patient cohort are needed to validate a radiation-induced, AF1q-driven tumor-suppressing effect, which may impact RC patient outcomes.
5 days ago
Journal • PD(L)-1 Biomarker • IO biomarker
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PD-L1 (Programmed death ligand 1) • CD8 (cluster of differentiation 8) • AFF1 (AF4/FMR2 Family Member 1) • IDO1 (Indoleamine 2,3-dioxygenase 1) • STAT1 (Signal Transducer And Activator Of Transcription 1)
The results of this study indicate that preoperative MRI detection is of great importance for predicting the risk of postoperative recurrence in patients with RC. Monitoring these markers helps clinicians identify patients at high risk, allowing for more aggressive treatment and monitoring strategies to improve patient outcomes.
P1, N=24, Recruiting, Barbara Ann Karmanos Cancer Institute | Trial completion date: Dec 2024 --> Dec 2026 | Trial primary completion date: Dec 2024 --> Dec 2026
16 days ago
Trial completion date • Trial primary completion date
We developed and validated a robust combined model that integrates clinical variables, classical radiomics features, and sub-region radiomics features to accurately determine the MSI status of RC patients. We visualized the prediction process using SHAP, enabling more effective personalized treatment plans and ultimately improving RC patient survival rates.
The postoperative course of the patient was uneventful. In cases of SANT following a prior malignancy, splenectomy should be considered for both diagnostic and therapeutic purposes.
P=N/A, N=15, Terminated, Washington University School of Medicine | N=23 --> 15 | Trial completion date: Jan 2026 --> Nov 2024 | Recruiting --> Terminated | Trial primary completion date: Dec 2025 --> Jul 2024; Slow enrollment
17 days ago
Enrollment change • Trial completion date • Trial termination • Trial primary completion date
P1, N=22, Recruiting, Medical College of Wisconsin | Trial completion date: Jun 2026 --> Jan 2029 | Trial primary completion date: Jun 2025 --> Apr 2027
17 days ago
Trial completion date • Trial primary completion date
This study identified a significant correlation between VHL gene expression and RC for the first time using patient tissues and TCGA data, suggesting that the VHL gene expression level could be a potential biomarker or candidate for the treatment of RC. Further studies are required to identify the molecular pathogenesis and clinical characteristics of VHL disease in RC.
Identifying gas gangrene mortality factors is fundamental to standardize management. Our study was able to build on the small size of our series, but further prospective and large-scale studies are required.
Thus, combined intratumoral microbiome-immune profiling improves the prediction of response to nCRT. Correct identification of unresponsive patients and of bacteria promoting responsiveness might lead to innovative therapeutic approaches based on gut microbiota pre-conditioning to increase nCRT effectiveness in LARC.
S100A11 and TLR3, representative candidate genes, exhibited different expression patterns and biological functions. This study highlighted the significant potential of the Anoscore in predicting prognosis and guiding the selection of personalized therapeutic regimens for patients with GI cancers.
Our DL model showed a better predictive performance than other state-of-the-art DL methods. The superior performance demonstrates the potential of our work for predicting RCLM, suggesting its potential assistance in personalized treatment and follow-up plans.