Treatment Decisions Research Articles

Efficacy of Ofatumumab and Teriflunomide in Patients With Relapsing MS From Racial/Ethnic Minority Groups: ASCLEPIOS I/II Subgroup Analyses.

Race and ethnicity may influence the efficacy of disease-modifying therapies in patients with multiple sclerosis (MS). Incidence of MS in ethnically diverse groups may be higher; however, these populations are under-represented in MS trials. This post hoc analysis compared the proportion of patients achieving 3-parameter no evidence of disease activity (NEDA-3) with ofatumumab vs teriflunomide in participants with relapsing MS (RMS) enrolled in the ASCLEPIOS I/II trials by race/ethnicity subgroup. ASCLEPIOS I/II were identical, double-blind, double-dummy, active-controlled, multicenter, phase 3 trials. Participants were randomized (1:1) to receive ofatumumab 20 mg every 4 weeks or teriflunomide 14 mg once daily for up to 30 months. Pooled data were used to determine the efficacy/safety of ofatumumab vs teriflunomide in participants who self-identified as non-Hispanic Black, non-Hispanic Asian, Hispanic/Latino, or non-Hispanic White. Participants who did not self-identify into one of these groups were classified as other/unknown. Of the 1,882 participants, 64 (3.4%) self-identified as non-Hispanic Black, 71 (3.8%) as non-Hispanic Asian, 145 (7.7%) as Hispanic/Latino, and 1,538 (81.7%) as non-Hispanic White. Baseline participant demographics/characteristics were largely balanced across subgroups, aside from minor variations in sex, disease duration, and MRI lesions. From months 0 to 24, the proportion of ofatumumab vs teriflunomide-treated patients achieving NEDA-3 (odds ratio [95% CI]) was as follows: non-Hispanic Black, 33.3% vs 3.4% (15.9 [1.67-151.71; p = 0.0162]); non-Hispanic Asian, 42.9% vs 21.9% (3.18 [0.95-10.59; p = 0.06]); Hispanic/Latino, 36.6% vs 18.6% (3.21 [1.32-7.79; p = 0.01]); and non-Hispanic White, 37.4% vs 16.6% (3.57 [2.73-4.67; p < 0.0001]). Rates of AEs were generally similar between treatment groups and across race/ethnicity subgroups; no new or unexpected safety signals were identified. Ofatumumab was associated with greater proportions of NEDA-3 achievement than teriflunomide across race/ethnicity subgroups in the ASCLEPIOS trials. Within each treatment group, the proportion of patients achieving NEDA-3 from months 0 to 24 was similar across the subgroups and overall pooled population. Both ofatumumab and teriflunomide were well tolerated. Future MS trials should include ethnically diverse groups to better inform treatment decisions and improve real-world patient outcomes. ClinicalTrials.gov: NCT02792218 (clinicaltrials.gov/ct2/show/NCT02792218), NCT02792231 (clinicaltrials.gov/ct2/show/NCT02792231). Submission date: June 2, 2016. First enrollment: August 26, 2016. This study provides Class II evidence that among patients aged 18-55 years with RMS, the improvement in NEDA-3 with ofatumumab was comparably better than with teriflunomide among patients self-identified as non-Hispanic Black, non-Hispanic Asian, non-Hispanic White, Hispanic/Latino, and other/unknown.

Accuracy of respiratory event indices downloaded from positive airway pressure devices: can they be relied upon when making treatment decisions?

The gold standard for diagnosis and treatment of obstructive sleep apnea (OSA) is attended overnight polysomnography (PSG) in a sleep laboratory. Alternative diagnostic techniques are urgently needed for both diagnosis and treatment control when initiating positive airway pressure (PAP) in the home setting. Current PAP devices compute data such as residual AHI (apnea-hypopnea index) using their proprietary algorithms to provide an automatic event detection (AED). It was suggested that these should be labeled AHIFLOW. The current study situation shows an acceptable agreement with the tendency of mildly overestimating the AHI by the PAP devices. But, the literature is still limited in terms of accuracy, especially when considering the lack of standardization and different detection algorithms. A validation of PAP devices regarding the agreement of AHIFLOW compared to AHIPSG is extremely important, given that the device analysis is exclusively based on the measured flow. There are considerable concerns about assessing the PAP effectiveness in higher risk groups based on the AED function alone. Given these reservations, the use of PAP event detection can be an important addition to the diagnostic spectrum and, in combination with telemonitoring, offers promising potential.

Closing the gap: prognostic and predictive biomarker validation for personalized care in a Latin American hormone-dependent breast cancer cohort.

Several guidelines recommend the use of different classifiers to determine the risk of recurrence (ROR) and treatment decisions in patients with HR+HER2- breast cancer. However, data are still lacking for their usefulness in Latin American (LA) patients. Our aim was to evaluate the comparative prognostic and predictive performance of different ROR classifiers in a real-world LA cohort. The Molecular Profile of Breast Cancer Study (MPBCS) is an LA case-cohort study with 5-year follow-up. Stages I and II, clinically node-negative HR+HER2- patients (n = 340) who received adjuvant hormone therapy and/or chemotherapy, were analyzed. Time-dependent receiver-operator characteristic-area under the curve, univariate and multivariate Cox proportional hazards regression (CPHR) models were used to compare the prognostic performance of several risk biomarkers. Multivariate CPHR with interaction models tested the predictive ability of selected risk classifiers. Within this cohort, transcriptomic-based classifiers such as the recurrence score (RS), EndoPredict (EP risk and EPClin), and PAM50-risk of recurrence scores (ROR-S and ROR-PC) presented better prognostic performances for node-negative patients (univariate C-index 0.61-0.68, adjusted C-index 0.77-0.80, adjusted hazard ratios [HR] between high and low risk: 4.06-9.97) than the traditional classifiers Ki67 and Nottingham Prognostic Index (univariate C-index 0.53-0.59, adjusted C-index 0.72-0.75, and adjusted HR 1.85-2.54). RS (and to some extent, EndoPredict) also showed predictive capacity for chemotherapy benefit in node-negative patients (interaction P = .0200 and .0510, respectively). In summary, we could prove the clinical validity of most transcriptomic-based risk classifiers and their superiority over clinical and immunohistochemical-based methods in the heterogenous, real-world node-negative HR+HER2- MPBCS cohort.

Current Status of Magnetic Resonance Imaging Use in Bladder Cancer.

Bladder cancer (BC) is a significant global health concern, with over 500,000 new cases and 200,000 deaths annually, emphasizing the need for accurate staging and effective management. Traditional diagnostic techniques, such as cystoscopy and transurethral resection, are fundamental but have limitations in accurately assessing the depth of invasion. These limitations include the possibility of understaging and procedural variability, which can significantly impact treatment decisions. This review focuses on the role of multiparametric magnetic resonance imaging (mpMRI) in the diagnosis and staging of BC, particularly emphasizing the Vesical Imaging-Reporting and Data System (VI-RADS) framework. By enhancing interpretive consistency and diagnostic accuracy, mpMRI and VI-RADS offer detailed visualization of tumor characteristics and depth of invasion, while reducing the need for more invasive traditional methods. These advancements not only improve staging accuracy but also enhance treatment planning, underscoring the importance of advanced imaging in evolving BC management and positively influencing patient outcomes.

A novel prognostic score (HAMP) for head and neck cancer patients with single and multiple SBRT-treated lung metastases derived from retrospective analyses of survival outcome.

We report on the characterization and introduction of a novel prognostic score for patients undergoing stereotactic body radiotherapy (SBRT) for the treatment of single and multiple pulmonary metastases (PMs) derived from head and neck cancer (HNC). In this retrospective study, we examined selected factors associated with progression-free survival (PFS) and overall survival (OS) among 59 patients with HNC treated with SBRT for a total of 118 PMs, between 2009 and 2023. Factors related to survival were included in the prognostic scoring system. Prognostic factors including histology, age, number of metastases, and performance status at first SBRT were weighted differently depending on the strength of correlation to PFS and OS. Total prognostic scores (HAMP) ranged from 13 to 24 points, with a cut-off total score of ≤18 scoring points for patients in a high-risk (HR) subcohort, and of ≥19 scoring points for patients in a low-risk group (LR). Median PFS (23.8 vs. 5.5 months, p < 0.001) and OS (61.3 vs. 16.4 months, p < 0.001) were significantly longer in the low-risk group compared to the high-risk group. The HAMP score might be a convenient tool to facilitate individualized treatment decisions and appropriate follow-up. The accuracy and reliability of the score requires further evaluation in prospective studies.

Impact of aspirin dose according to race in secondary prevention of atherosclerotic cardiovascular disease: a secondary analysis of the ADAPTABLE randomised controlled trial

ObjectivesTo evaluate whether the effectiveness and safety of low (81 mg daily) versus high-dose (325 mg daily) aspirin is consistent across races among patients with established atherosclerotic cardiovascular disease (ASCVD).DesignA...

Importance and implementation of radiological modalities in the diagnostics of soft tissue tumors

Malignant soft tissue tumors, in particular, require amultimodal treatment concept involving interdisciplinary cooperation between radiologists, pathologists, surgeons and oncologists at special tumor centers. The foundations of the treatment decision are the imaging diagnostics and the diagnosis confirmation based on tissue samples. The (local) extent and growth behavior of atumor are among the most important findings of imaging as they have adirect influence on the surgical procedure. The most important diagnostic procedure here is magnetic resonance imaging (MRI). The T1-weighted and fat-suppressed sequences after i.v. contrast administration are used to visualize the extent of the tumor. In synopsis with diffusion-weighted and T2-weighted sequences, adifferentiation between vital tumor tissue and tumor necrosis is additionally possible. This also enables targeted sampling from vital tumor parts so that the patient can be assigned to the appropriate treatment concept as quickly as possible.

Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases.

Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplinary tumor board approach for individual treatment planning. In recent years, artificial intelligence tools have emerged to assist healthcare professionals in making informed treatment decisions. This study investigates the application of the newly published LLM Claude 3 Opus compared to the currently most advanced LLM ChatGPT 4.0 for the diagnosis and therapy planning of primary HNSCC. The results were compared to that of a conventional multidisciplinary tumor board; (2) Materials and Methods: We conducted a study in March 2024 on 50 consecutive primary head and neck cancer cases. The diagnostics and MDT recommendations were compared to the Claude 3 Opus and ChatGPT 4.0 recommendations for each patient and rated by two independent reviewers for the following parameters: clinical recommendation, explanation, and summarization in addition to the Artificial Intelligence Performance Instrument (AIPI); (3) Results: In this study, Claude 3 achieved better scores for the diagnostic workup of patients than ChatGPT 4.0 and provided treatment recommendations involving surgery, chemotherapy, and radiation therapy. In terms of clinical recommendations, explanation and summarization Claude 3 scored similar to ChatGPT 4.0, listing treatment recommendations which were congruent with the MDT, but failed to cite the source of the information; (4) Conclusion: This study is the first analysis of Claude 3 for primary head and neck cancer cases and demonstrates a superior performance in the diagnosis of HNSCC than ChatGPT 4.0 and similar results for therapy recommendations. This marks the advent of a newly launched advanced AI model that may be superior to ChatGPT 4.0 for the assessment of primary head and neck cancer cases and may assist in the clinical diagnostic and MDT setting.

Implementation of a digital distress detection system in palliative care: qualitative data on perspectives of a multiprofessional palliative care team

BackgroundDigital health technologies such as sensor systems are intended to support healthcare staff in providing adequate patient care. In the Department of Palliative Medicine (University Medical Center Freiburg), we developed and implemented a noninvasive, bed-based sensor system in a pilot study. The aim was to detect distress in patients who were no longer able to express themselves by monitoring heart and respiratory rates, vocalizations, and movement measurements. The sensor system was intended to supplement standard care, which generally cannot guarantee constant monitoring. As there is a lack of data on how healthcare professionals experience such a techno-digital innovation, the aim of this study was to explore how the multiprofessional palliative care team who piloted the sensor system perceived its potential benefits and limitations, and how they experienced the broader context of healthcare technology and research in palliative care.MethodsWe conducted a qualitative interview study with 20 members of the palliative care team and analyzed the recorded, verbatim transcribed interviews using qualitative content analysis.ResultsThe sensor system was described as easy to use and as helpful support for patients, care staff, and relatives, especially against the backdrop of demographic change. However, it could not replace human interpretation of stress and subsequent treatment decisions: this remained the expertise of the nursing staff. A potential reduction in personnel was expected to be a risk of a digital monitoring system. The special conditions of research and digital health technologies in an end-of-life context also became clear. Specifically, healthcare staff were open to health technologies if they benefited the patient and were compatible with professional nursing and/or palliative care attitudes. Additionally, a patient-protective attitude and possible interprofessional differences in priorities and the resulting challenges for the team became apparent.ConclusionsA potential digital solution for distress monitoring was considered useful by palliative care practitioners. However, interprofessional differences and compatibility with existing palliative care practices need to be considered before implementing such a system. To increase user acceptability, the perspectives of healthcare professionals should be included in the implementation of technological innovations in palliative care.

Comparative analysis of novel hormonal agents in non-metastatic castration-resistant prostate cancer: A Taiwanese perspective.

Non-metastatic castration-resistant prostate cancer (nmCRPC) is an asymptomatic condition with the potential to progress to metastasis. Novel hormonal agents (NHAs) are currently considered the gold standard treatment for nmCRPC, offering significant survival benefits. However, further evidence is needed to determine whether there are differences in the performance of these drugs among Asian populations. This retrospective analysis of nmCRPC patients aims to compare the efficacy and safety of three NHAs-apalutamide, darolutamide, and enzalutamide. Data were collected from two prominent prostate care centers in Taichung, Taiwan. Patient characteristics, treatment details, PSA responses, and adverse events were analyzed. Statistical comparisons were performed, and the study received Institutional Review Board approval. Total of 64 patients were recruited in this study, including 29 darolutamide, 26 apalutamide, and 9 enzalutamide patients. Baseline characteristics varied between the three patient groups, but the treatment response still revealed similar results. The apalutamide group experienced more adverse events, notably skin rash. Discontinuation rates due to adverse events differed among the groups, and patients receiving darolutamide were less likely to discontinue treatment. This real-world study provides insights into NHA utilization in nmCRPC within the Taiwanese population. Adverse event profiles varied, emphasizing the need for individualized treatment decisions. The study underscores the importance of regional considerations and contributes valuable data for optimizing treatment outcomes in nmCRPC.

The impact of PET imaging on triple negative breast cancer: an updated evidence-based perspective.

Triple-negative breast cancer (TNBC) is a subtype of breast cancer characterized by the absence of estrogen, progesterone, and HER2 receptors. It predominantly affects younger women and is associated with a poor prognosis. This systematic review aims to evaluate the current role of positron emission tomography (PET) in the management of TNBC patients and to identify future research directions. We systematically searched the PubMed, Scopus, and Web of Science databases up to February 2024. A team of five researchers conducted data extraction and analysis. The quality of the selected studies was assessed using a specific evaluation form. Twenty-eight studies involving 2870 TNBC patients were included in the review. Key clinical applications of PET in TNBC included predicting pathological complete response (pCR) in patients undergoing neoadjuvant chemotherapy (NAC), assessing the prognostic value of baseline PET, and initial disease staging. Two studies utilized PSMA-ligand agents, while the majority used [18F]FDG-based PET. Significant associations were found between baseline [18F]FDG uptake and molecular biomarkers such as PDL-1, androgen receptor, and Ki67. Baseline [18F]FDG PET led to the upstaging of patients from stage IIB to stage IV, influencing treatment decisions and survival outcomes. In the NAC setting, serial PET scans measuring changes in [18F]FDG uptake, indicated by maximum standardized uptake value (SUVmax), predicted pCR with varying cut-off values correlated with different response rates. Semiquantitative parameters such as metabolic tumor volume (MTV) and PET lung index were prognostic for metastatic disease. In TNBC patients, [18F]FDG PET is essential for initial disease staging in both localized and metastatic settings. It is also useful for assessing treatment response to NAC. The ability of PET to correlate metabolic activity with molecular markers and predict treatment outcomes highlights its potential in TNBC management. Further prospective studies are needed to refine these clinical indications and establish its definitive role.

Beat-AML 2024 ELN-Refined Risk Stratification for Older Adults with Newly Diagnosed AML Given Lower-Intensity Therapy.

While the 2022 European LeukemiaNet (ELN) acute myeloid leukemia (AML) risk classification reliably predicts outcomes in younger patients treated with intensive chemotherapy, it is unclear whether it applies to adults ≥ 60 years treated with lower-intensity treatment (LIT). We aimed to test the prognostic impact of ELN risk in patients with newly diagnosed (ND) AML ≥ 60 years given LIT and to further refine risk stratification for these patients. A total of 595 patients were included: 11% had favorable-risk, 11% had intermediate-risk, and 78% had adverse-risk AML as defined by ELN. ELN risk was prognostic for overall survival (OS) (P<0.001) but did not stratify favorable-risk from intermediate-risk (P=0.71). Within adverse-risk AML, the impact of additional molecular abnormalities was further evaluated. Multivariable analysis was performed on a training set (N=316) and identified IDH2 mutation as an independent favorable prognostic factor, and KRAS, MLL2, and TP53 mutations as unfavorable (P<0.05). A "mutation-score" was calculated for each combination of these mutations, assigning adverse-risk patients into two risk groups: -1 to 0 points ("Beat-AML-intermediate") vs 1+ points ("Beat-AML-adverse"). In the final refined risk classification, the ELN favorable- and intermediate-risk groups were combined into a newly defined "Beat-AML-favorable-risk", in addition to mutation scoring within the ELN adverse-risk. This approach redefines risk for older ND AML and proposes refined Beat-AML-favorable- (22%), Beat-AML-intermediate- (41%), and Beat-AML-adverse-risk (37%) groups with improved discrimination for OS (2-year OS: 48% vs 33% vs 11%, respectively, P<0.001; C-index: 0.60 vs 0.55 for ELN), providing patients and providers additional information for treatment decision-making.

Young adults with kidney failure lived experiences of kidney replacement therapy decision-making.

Young adults living with kidney failure make decisions to select a kidney replacement therapy choice in partnership with healthcare professionals. However, little is known about how they experience kidney replacement therapy treatment decision-making and the impact this has on their well-being. To explore young adults living with kidney failure experiences of treatment decision-making. The treatment decision-making investigated is about the choice of dialysis and/or kidney transplant options. A qualitative interpretive hermeneutic phenomenology study. Purposeful sampling was used to recruit young adults with kidney failure from social media, electronic media such as local kidney group websites and word of mouth. Semistructured interviews were conducted with (n = 18) participants aged 18-30 years. Inductive analysis of the data were performed using Braun and Clarke's thematic analysis framework. The five themes generated were (1) awareness and anticipation of future kidney replacement therapy decision; (2) health information and education; (3) engaging in decision-making, support and choices; (4) implementation of kidney replacement therapy and transitioning into the new normal life and (5) the impact of decision-making and choice on well-being. Decision-making significantly affected young adults' psychosocial and mental well-being. Young adults had unmet informational and decisional needs and struggled to cope due to lack of support. A four-talk model, with an implement talk phase added to the existing three-talk (team talk, option talk, decision talk) shared decision-making model, would promote a focus on the implementation of choice and support the transitioning from previous life to long-term dependence on treatment.

Pembrolizumab in Patients with Advanced Urothelial Carcinoma with ECOG Performance Status 2: A Real-World Study from the ARON-2 Project.

The benefit of immune checkpoint inhibitors (ICIs) for poor performance status patients with advanced urothelial carcinoma (UC) remains unknown. In the present sub-analysis of the ARON-2 study, we investigated the role of pembrolizumab for advanced UC patients with ECOG (Eastern Cooperative Oncology Group) performance status (ECOG-PS) 2. Patients aged ≥18 years with a cytologically and/or histologically confirmed diagnosis of advanced UC progressing or recurring after platinum-based therapy and treated with pembrolizumab between 1 January 2016 to 1 April 2024 were included. In this sub-analysis we focused on patients with ECOG-PS 2. We included 1,040 patients from the ARON-2 dataset; of these, 167 patients (16%) presented an ECOG-PS 2. The median overall survival (OS) was 14.8 months (95% confidence interval (CI) 12.5-16.1) in the overall study population, 18.2 months (95% CI 15.8-22.2) in patients with ECOG-PS 0-1, and 3.7 months (95% CI 3.2-5.2) in subjects with ECOG-PS 2 (p<0.001). The median progression-free survival (PFS) in the overall study population was 5.3 months (95% CI 4.3-97.1), 6.2 months (95% CI 5.5-97.1) in patients with ECOG-PS 0-1, and 2.8 months (95% CI 2.1-3.4) in patients with ECOG-PS 2. Among the latter, liver metastases and progressive disease during first-line therapy were significant predictors of OS at both univariate and multivariate analyses. For PFS, univariate and multivariate analyses showed a prognostic role for lung metastases, liver metastases, and progressive disease during first-line therapy. This large real-world evidence study suggests the effectiveness of second-line pembrolizumab for mUC patients with poor performance status. The presence of liver metastases and progressive disease during first-line therapy is associated with worse clinical outcomes and, thus, should be taken into account when making treatment decisions in clinical practice.

Systematic implementation of cardiopulmonary ultrasound imaging to optimize management of acute decompensated heart failure

BackgroundHeart failure (HF) poses a major health problem, where frequent HF rehospitalizations (HFH) heavily burden national health systems. HFH are predominantly linked to inadequate decongestion before discharge. It is uncertain if systematic implementation of cardio-pulmonary ultra-sound imaging (CPUSI) to standard HF management can improve outcomes and reduce HFH.ResultsThis study recruited 50 patients admitted with acute decompensated heart failure (ADHF). Besides the conventional daily assessment, CPUSI was systematically performed to guide treatment decisions, focusing on ventricular filling pressure and 8-zone lung ultrasound (LUS) score. On-admission and predischarge LUS scores were correlated to clinical outcomes. The mean age of the study group was 55.7 ± 10.59 years, with predominance of male gender. Supplementing clinical judgment, CPUSI modified therapeutic strategy in 57 out of 241 assessments (24%), improving patients’ care. Besides its value in guiding therapeutic decisions, the LUS score on admission had a significant positive correlation to the length of ICU stay and the total hospitalization length. Also, LUS score > 12 at discharge predicted 90-day HFH with sensitivity and specificity of 100% and 98%, respectively.ConclusionsSystematic CPUSI can improve HF management by complementing the often challenging judgment of pulmonary congestion. Adding periodic evaluation of ventricular filling pressures and LUS scores to clinical assessment can optimize treatment decisions and improve patient care. LUS score was a significant predictor for in-hospital and post-discharge clinical outcomes.Graphical abstract

Medication Reconciliation as Part of Admission Management—A Survey to Improve Drug Therapy Safety in a Urology Department

Complete medication reconciliation during hospital admission is the rationale for further treatment decisions. A consecutive, controlled intervention study was conducted to assess discrepancies in medication reconciliation performed by nurses of the Urology Department compared to the Best Possible Medication History (BPMH) established by pharmacists. This study included pre-intervention (control group, CG), nursing training as a pharmaceutical intervention, and post-intervention (intervention group, IG) groups. The discrepancies were classified as “Missing” (not recorded but taken), “Added” (additionally recorded) “Strength” (incorrect documented dosage), “Intake” (incorrect intake time/schedule), “Double” (double prescription), and “Others” (no clear assignment). Additionally, high-risk drug subgroup discrepancies were particularly prevalent and were evaluated. Training success was compared concerning discrepancies in the CG and IG. Generally, the percentage of discrepancies per patient found was lower in the IG than in the CG (78.1% vs. 87.5%, significantly). The category most identified was “Missing” (IG, 33.3% vs. CG, 35.2%). Overall, a discrepancy of 7.4% each (discrepancies: IG, 27 vs. CG, 38) was determined for high-risk drugs while “Missing” occurred (77.8% vs. 52.6%, out of 7.4%). Despite nursing training only partially reducing discrepancies, the implementation of medication reconciliation using BPMH by pharmacists could improve the process, especially for high-risk drugs.

Investigating Combination Therapy: The Role of Lutetium-177 PSMA-617 Radioligand Therapy and Androgen Receptor Pathway Inhibitors in Metastatic Castration-Resistant Prostate Cancer

Background: The combination of Lutetium-177 (Lu-177) PSMA-617 radioligand therapy (RLT) with androgen receptor pathway inhibitors (ARPIs) has shown promise in metastatic castration-resistant prostate cancer (mCRPC). However, real-world data on the efficacy and safety of this combination are limited. This study aimed to evaluate the impact of combination therapy with Lu-177 PSMA-617 RLT and ARPIs on progression-free survival (PFS) and overall survival (OS) in patients with mCRPC. Methods: In this retrospective study, 104 mCRPC patients receiving Lu-177 PSMA-617 RLT at our institution between December 2017 and January 2024 were divided into the following two groups those receiving Lu-177 PSMA-617 RLT plus ARPI (n = 34) and those receiving Lu-177 PSMA-617 RLT alone (n = 70). Patients received 150 to 200 millicuries Lu-177 PSMA-617 RLT in each cycle. PFS and zOS were assessed using Kaplan–Meier analysis and Cox proportional hazard models. Results: The combination therapy significantly prolonged median PFS compared to Lu-177 PSMA-617 RLT alone (11 vs. 5.6 months; HR, 0.47; 95% CI, 0.28–0.79; p &lt; 0.01). A trend towards improved OS was also observed in the combination group (20.3 vs. 15.9 months; HR, 0.58; 95% CI, 0.33–1.02; p = 0.06). Age was a significant predictor of OS (21.2 vs. 12.4 months for younger vs. older patients; p &lt; 0.01), while Gleason score and visceral involvement did not significantly impact PFS. The safety profile indicated that adverse effects were generally comparable between the two groups, with no statistically significant differences in the incidence of anemia, neutropenia, thrombocytopenia, nephrotoxicity, or hepatotoxicity. Conclusions: This study provides evidence that combining Lu-177 PSMA-617 RLT with ARPIs may significantly improve PFS in mCRPC patients. The potential OS benefit warrants further investigation in larger prospective trials. Age should be considered when making treatment decisions for mCRPC patients.

Early-Stage Non-Small Cell Lung Cancer: New Challenges with Immune Checkpoint Blockers and Targeted Therapies

The recent advent of tyrosine kinase inhibitors (TKIs) and immune checkpoint blockers (ICBs) in early-stage non-small cell lung cancer (NSCLC) has dramatically modified treatment strategies by improving the prognosis in this setting. Osimertinib and alectinib, both TKIs, have shown significant improvements in outcomes for patients with resected EGFR- and ALK-positive NSCLC, respectively, changing the standard of care in these subgroups. More recently, the LAURA trial showed the efficacy of osimertinib after chemoradiotherapy in patients with unresectable stage III NSCLC harboring EGFR mutations. Numerous trials are still ongoing to investigate neoadjuvant/perioperative TKIs in several oncogene-driven NSCLC. In addition, several ICBs have been tested and approved as adjuvant (atezolizumab and pembrolizumab), neoadjuvant (nivolumab), and perioperative treatments (pembrolizumab) for patients with resectable early-stage NSCLC. Despite these advances, many challenges remain regarding the use of TKIs and ICBs in this setting, including the optimal duration of adjuvant TKI or induction ICB therapy, the role of minimal residual disease to identify patients at high-risk of disease relapse and to guide adjuvant treatment decisions, and the role of adjuvant chemotherapy in resected oncogene-driven NSCLC. Furthermore, potential predictive biomarkers for efficacy are needed to eventually intensify the entire perioperative strategies. This review aims to summarize and discuss the available evidence, the ongoing trials, and the challenges associated with TKI- and ICB-based approaches in early-stage NSCLC.

Prediction of lung adenocarcinoma prognosis and diagnosis with a novel model anchored in circadian clock-related genes

Lung adenocarcinoma is the most common primary lung cancer seen in the world, and identifying genetic markers is essential for predicting the prognosis of lung adenocarcinoma and improving treatment outcomes. It is well known that alterations in circadian rhythms are associated with a higher risk of cancer. Moreover, circadian rhythms play a regulatory role in the human body. Therefore, studying the changes in circadian rhythms in cancer patients is crucial for optimizing treatment. The gene expression data and clinical data were sourced from TCGA database, and we identified the circadian clock-related genes. We used the obtained TCGA-LUAD data set to build the model, and the other 647 lung adenocarcinoma patients’ data were collected from two GEO data sets for external verification. A risk score model for circadian clock-related genes was constructed, based on the identification of 8 genetically significant genes. Based on ROC analyses, the risk model demonstrated a high level of accuracy in predicting the overall survival times of lung adenocarcinoma patients in training folds, as well as external data sets. This study has successfully constructed a risk model for lung adenocarcinoma prognosis, utilizing circadian rhythm as its foundation. This model demonstrates a dependable capacity to forecast the outcome of the disease, which can further guide the relevant mechanism of lung adenocarcinoma and combine behavioral therapy with treatment to optimize treatment decision-making.

Insights from explainable AI in oesophageal cancer team decisions

BackgroundClinician-led quality control into oncological decision-making is crucial for optimising patient care. Explainable artificial intelligence (XAI) techniques provide data-driven approaches to unravel how clinical variables influence this decision-making. We applied global XAI techniques to examine the impact of key clinical decision-drivers when mapped by a machine learning (ML) model, on the likelihood of receiving different oesophageal cancer (OC) treatment modalities by the multidisciplinary team (MDT). MethodsRetrospective analysis of 893 OC patients managed between 2010 and 2022 at our tertiary unit, used a random forests (RF) classifier to predict four possible treatment pathways as determined by the MDT: neoadjuvant chemotherapy followed by surgery (NACT + S), neoadjuvant chemoradiotherapy followed by surgery (NACRT + S), surgery-alone, and palliative management. Variable importance and partial dependence (PD) analyses then examined the influence of targeted high-ranking clinical variables within the ML model on treatment decisions as a surrogate model of the MDT decision-making dynamic. ResultsAmongst guideline-variables known to determine treatments, such as Tumour-Node-Metastasis (TNM) staging, age also proved highly important to the RF model (16.1 % of total importance) on variable importance analysis. PD subsequently revealed that predicted probabilities for all treatment modalities change significantly after 75 years (p < 0.001). Likelihood of surgery-alone and palliative therapies increased for patients aged 75–85yrs but lowered for NACT/NACRT. Performance status divided patients into two clusters which influenced all predicted outcomes in conjunction with age. ConclusionXAI techniques delineate the relationship between clinical factors and OC treatment decisions. These techniques identify advanced age as heavily influencing decisions based on our model with a greater role in patients with specific tumour characteristics. This study methodology provides the means for exploring conscious/subconscious bias and interrogating inconsistencies in team-based decision-making within the era of AI-driven decision support.