Improved Survival In Patients Research Articles

The Evolution of Nadofaragene Firadenovec: A Review and the Path Forward

BACKGROUND: The intravesical gene therapy nadofaragene firadenovec (rAd-IFNα/Syn3) was FDA approved in 2022 for non-muscle invasive bladder cancer (NMIBC) unresponsive to frontline treatment with BCG, and the first gene therapy developed for bladder cancer. This non-replicating recombinant adenovirus vector delivers a copy of the human interferon alpha-2b gene into urothelial and tumor cells, causing them to express this pleotropic cytokine with potent antitumor effects. OBJECTIVE: To provide a historical overview describing how several decades of preclinical and clinical studies investigating the role of interferon in the treatment of bladder cancer ultimately led to the development of gene therapy with nadofaragene for NMIBC. METHODS: We conducted a review of the literature using PubMed, Google Scholar, and ClinicalTrials.gov to summarize our knowledge of the evolution of interferon-based therapy in NMIBC. RESULTS: The FDA approval of this therapy represents an important landmark in urologic oncology and several decades of research dedicated to the study of interferon’s direct and indirect antitumor properties in NMIBC. The data gathered from the phase 1, 2, and 3 clinical trials continue to provide additional insights into the precise mechanisms underlying both the efficacy of and resistance to nadofaragene. CONCLUSIONS: Nadofaragene leverages the cytotoxic, anti-angiogenic, and immune-modulatory roles of interferon to effectively treat NMIBC that is resistant to BCG. Ongoing studies of resistance mechanisms and prognostic biomarkers have been promising; these will ultimately improve patient selection and allow for the modulation of factors in the tumor or immune microenvironment to further increase therapeutic response.

Metabolic dysregulation of tricarboxylic acid cycle and oxidative phosphorylation in glioblastoma.

Glioblastoma multiforme (GBM) exhibits genetic alterations that induce the deregulation of oncogenic pathways, thus promoting metabolic adaptation. The modulation of metabolic enzyme activities is necessary to generate nucleotides, amino acids, and fatty acids, which provide energy and metabolic intermediates essential for fulfilling the biosynthetic needs of glioma cells. Moreover, the TCA cycle produces intermediates that play important roles in the metabolism of glucose, fatty acids, or non-essential amino acids, and act as signaling molecules associated withthe activation of oncogenic pathways, transcriptional changes, and epigenetic modifications. In this review, we aim to explore how dysregulated metabolic enzymes from the TCA cycle and oxidative phosphorylation, along with their metabolites, modulate both catabolic and anabolic metabolic pathways, as well as pro-oncogenic signaling pathways, transcriptional changes, and epigenetic modifications in GBM cells, contributing to the formation, survival, growth, and invasion of glioma cells. Additionally, we discuss promising therapeutic strategies targeting key players in metabolic regulation. Therefore, understanding metabolic reprogramming is necessary to fully comprehend the biology of malignant gliomas and significantly improve patient survival.

Automatized self-supervised learning for skin lesion screening

Melanoma, the deadliest form of skin cancer, has seen a steady increase in incidence rates worldwide, posing a significant challenge to dermatologists. Early detection is crucial for improving patient survival rates. However, performing total body screening (TBS), i.e., identifying suspicious lesions or ugly ducklings (UDs) by visual inspection, can be challenging and often requires sound expertise in pigmented lesions. To assist users of varying expertise levels, an artificial intelligence (AI) decision support tool was developed. Our solution identifies and characterizes UDs from real-world wide-field patient images. It employs a state-of-the-art object detection algorithm to locate and isolate all skin lesions present in a patient’s total body images. These lesions are then sorted based on their level of suspiciousness using a self-supervised AI approach, tailored to the specific context of the patient under examination. A clinical validation study was conducted to evaluate the tool’s performance. The results demonstrated an average sensitivity of 95% for the top-10 AI-identified UDs on skin lesions selected by the majority of experts in pigmented skin lesions. The study also found that the tool increased dermatologists’ confidence when formulating a diagnosis, and the average majority agreement with the top-10 AI-identified UDs reached 100% when assisted by our tool. With the development of this AI-based decision support tool, we aim to address the shortage of specialists, enable faster consultation times for patients, and demonstrate the impact and usability of AI-assisted screening. Future developments will include expanding the dataset to include histologically confirmed melanoma and validating the tool for additional body regions.

Impact of insomnia on ovarian cancer risk and survival: a Mendelian randomization study

Insomnia is the most common sleep disorder in patients with epithelial ovarian cancer (EOC). We investigated the causal association between genetically predicted insomnia and EOC risk and survival through a two-sample Mendelian randomization (MR) study. Insomnia was proxied using genetic variants identified in a genome-wide association study (GWAS) meta-analysis of UK Biobank and 23andMe. Using genetic associations with EOC risk and overall survival from the Ovarian Cancer Association Consortium (OCAC) GWAS in 66,450 women (over 11,000 cases with clinical follow-up), we performed Iterative Mendelian Randomization and Pleiotropy (IMRP) analysis followed by a set of sensitivity analyses. Genetic associations with survival and response to treatment in ovarian cancer study of The Cancer Genome Atlas (TCGA) were estimated controlling for chemotherapy and clinical factors. Insomnia was associated with higher risk of endometrioid EOC (OR=1.60, 95% CI 1.05-2.45) and lower risk of high-grade serous EOC (HGSOC) and clear cell EOC (OR=0.79 and 0.48, 95% CI 0.63-1.00 and 0.27-0.86, respectively). In survival analysis, insomnia was associated with shorter survival of invasive EOC (OR=1.45, 95% CI 1.13-1.87) and HGSOC (OR=1.4, 95% CI 1.04-1.89), which was attenuated after adjustment for body mass index and reproductive age. Insomnia was associated with reduced survival in TCGA HGSOC cases who received standard chemotherapy (OR=2.48, 95% CI 1.13-5.42), but was attenuated after adjustment for clinical factors. This study supports the impact of insomnia on EOC risk and survival, suggesting treatments targeting insomnia could be pivotal for prevention and improving patient survival. National Institutes of Health, National Cancer Institute. Full funding details are provided in acknowledgments.

Rearranging the furniture: A blueprint for reappropriating fixed resources to create an emergency department resuscitative care unit.

Emergency department (ED) care teams face challenges in providing timely, high-quality care to critically ill patients because of competing patient care priorities and a multitude of system strains, including patient boarding. Patients who are boarding in the ED experience increased morbidity and mortality, and this is particularly true for those who are critically ill. Geography-based models for critical care delivery in the ED range from resuscitation bays to full-fledged ED intensive care units. Studies have shown that such models can improve patient survival without affecting cost. Here, we describe how we reappropriated limited fixed resources to create a critical care resuscitation unit in a busy, urban, academic ED. Our objective is to provide a blueprint for similar models, paying particular attention to operations, clinical care, education, and financial stability.

Unlocking the Potential: Biomarkers of Response to Antibody-Drug Conjugates.

Antibody-drug conjugates (ADCs) have reshaped the cancer treatment landscape across a variety of different tumor types. ADCs' peculiar pharmacologic design combines the cytotoxic properties of chemotherapeutic agents with the selectivity of targeted therapies. At present, the approval of many ADCs used in clinical practice has not always been biomarker-driven. Indeed, predicting ADCs' activity and toxicity through the demonstration of specific biomarkers is still a great unmet need, and the identification of patients who can derive significant benefit from treatment with ADCs may often be uncertain. With the lack of robust predictive biomarkers to anticipate primary, intrinsic resistance to ADCs and no consolidated biomarkers to aid in the early identification of treatment resistance (ie, acquired resistance), the determination of precise biologic mechanisms of ADC activity and safety becomes priority in the quest for better patient-centric outcomes. Of great relevance, whether the target antigen expression is a determinant of ADCs' primary activity is still to be clarified, and available data remain quite controversial. Antigen expression assessment is typically performed on tissue biopsy, hence only providing information on a specific tumor site, therefore unable to capture heterogeneous patterns of tumor antigen expression. Quantifying the expression of the target antigen across all tumor sites would help better understand tumor heterogeneity, whereas molecularly characterizing tumor-intrinsic features over time might provide information on resistance mechanisms. In addition, toxicity can represent a critical concern, since most ADCs have a safety profile that resembles that of chemotherapies, with often unique adverse events requiring special management, possibly because of the differential in pharmacokinetics between the small-molecule agent versus payload of a similar class (eg, deruxtecan conjugate-related interstitial lung disease). As such, the identification of robust predictive biomarkers of safety and activity of ADCs has the potential to improve patient selection and enrich the population of patients most likely to derive a substantial clinical benefit, especially in those disease settings where different ADCs happen to be approved in competing clinical indications, with undefined biomarkers to make precise decision making and unclear data on how to sequence ADCs. At this point, the identification of clinically actionable biomarkers in the space of ADCs remains a top research priority.

Aneurysm Sac Shrinkage at 1 Year after Fenestrated-Branched Endovascular Aortic Repair of Complex Aortic Aneurysms Offers Mid-Term Survival Advantage

To investigate the impact of 1-year changes in aneurysm sac diameter on patient survival after fenestrated-branched endovascular aortic repair (FB-EVAR) of complex abdominal (CAAA) or thoracoabdominal aortic aneurysms (TAAA). We reviewed the clinical data of patients enrolled in a prospective non-randomized study investigating FB-EVAR (2013-2022). Patients with sequential follow up computed tomography (CT) scans at baseline and 6 to 18 months after FB-EVAR were included in the analysis. Aneurysm sac diameter change was defined as the difference in maximum aortic diameter (MAD) from baseline measurements obtained in centerline of flow. Patients were classified as those with sac shrinkage (≥5mm) or failure to regress (<5mm or expansion) according to sac diameter change. Primary endpoint was all-cause mortality. Secondary endpoints were aortic-related mortality (ARM), aortic aneurysm rupture (AAR) and aorta-related secondary intervention. There were 549 patients treated by FB-EVAR. Of these, 463 patients (71% male, mean 74±8 years-old) with sequential CT imaging were investigated. Aneurysm extent was TAAA in 328 (71%) patients and CAAA in 135 (29%). Sac shrinkage occurred in 270 (58%) patients and failure to regress in 193 (42%) patients, including 19 (4%) patients with sac expansion at 1-year. Patients from both groups had similar cardiovascular risk factors, except for younger age among patients with sac shrinkage (73±8 vs. 75±8 years-old; P<.001). Median follow-up was 38 months (interquartile range, 18-51 months). Five-year survival estimate was 69%±4.1% for sac shrinkage and 46%±6.2% for failure to regress group. Survival estimates adjusted for confounders (age, chronic pulmonary obstructive disease, chronic kidney disease, congestive heart failure, and aneurysm extent) revealed a higher hazard of late mortality in patients with failure to regress (adjusted hazard ratio, 1.72; 95% confidence interval, 1.18-2.52; P=.005). Five-year cumulative incidences of ARM (1.1% vs. 3.1%, P=.30), AAR (0.6% vs. 2.6%, P=.20) and aorta-related secondary intervention (17±2.8% vs. 19±3.8%) were both comparable between the groups. Aneurysm sac shrinkage at 1 year is frequent after FB-EVAR and is associated with improved patient survival, while sac enlargement affects only a minority of patients. The low incidences of ARM and AAR indicate that failure to regress may serve as a surrogate marker for non-aortic-related death.

Australian rheumatologists' perception of autologous haemopoietic stem cell transplantation for the treatment of systemic sclerosis: a cross-sectional survey.

Autologous haemopoietic stem cell transplantation (AHSCT) is an effective treatment for systemic sclerosis (SSc); however, treatment-related toxicity remains a key issue. To investigate the perceptions of rheumatologists on the use of AHSCT for SSc. Australian rheumatologists were asked for their opinion on the role of AHSCT, the indications for treatment and the barriers to the use of AHSCT for SSc. A secondary analysis assessed what factors influenced the perception of AHSCT. A total of 77.8% rheumatologists agreed or strongly agreed with the statement that AHSCT is an accepted treatment for SSc. While 65.1% agreed or strongly agreed that treatment-associated mortality was a significant barrier to referral for AHSCT, only 15.2% agreed or strongly agreed that this risk was unacceptable. Progressive lung or skin disease, or lack of response to other therapies, were considered the main referral criteria. A total of 92.0% of respondents agreed or strongly agreed that reduction of treatment toxicity would increase their likelihood to refer patients for AHSCT. Rheumatologists who were aware of the correct evidence base were more likely to consider AHSCT an acceptable treatment for SSc (4.21 ± 0.7 vs 3.64 ± 0.9, P = 0.007). Rheumatologists desire improved patient selection criteria and access to treatment. In this national survey of rheumatologists, AHSCT is considered an accepted therapy. However, concern about toxicity remains a potential barrier to patient referral. Access, studies to refine patient selection and development of AHSCT protocols that improve safety were identified as key areas of need.

Machine Learning-Based Integrated Multiomics Characterization of Colorectal Cancer Reveals Distinctive Metabolic Signatures.

The metabolic signature identification of colorectal cancer is critical for its early diagnosis and therapeutic approaches that will significantly block cancer progression and improve patient survival. Here, we combined an untargeted metabolic analysis strategy based on internal extractive electrospray ionization mass spectrometry and the machine learning approach to analyze metabolites in 173 pairs of cancer samples and matched normal tissue samples to build robust metabolic signature models for diagnostic purposes. Screening and independent validation of metabolic signatures from colorectal cancers via machine learning methods (Logistic Regression_L1 for feature selection and eXtreme Gradient Boosting for classification) was performed to generate a panel of seven signatures with good diagnostic performance (the accuracy of 87.74%, sensitivity of 85.82%, and specificity of 89.66%). Moreover, seven signatures were evaluated according to their ability to distinguish between cancer and normal tissues, with the metabolic molecule PC (30:0) showing good diagnostic performance. In addition, genes associated with PC (30:0) were identified by multiomics analysis (combining metabolic data with transcriptomic data analysis) and our results showed that PC (30:0) could promote the proliferation of colorectal cancer cell SW480, revealing the correlation between genetic changes and metabolic dysregulation in cancer. Overall, our results reveal potential determinants affecting metabolite dysregulation, paving the way for a mechanistic understanding of altered tissue metabolites in colorectal cancer and design interventions for manipulating the levels of circulating metabolites.

Validation of the CREST model & Comparison with SCAI Shock Classification for Prediction of Circulatory Death in Resuscitated Out of Hospital Cardiac Arrest.

We validated the CREST model, a 5 variable score for stratifying risk of circulatory etiology death (CED) following out of hospital cardiac arrest (OHCA), and compared its discrimination with the SCAI shock classification. CED occurs in approximately a third of patients admitted after resuscitated OHCA. There is an urgent need for improved stratification of the OHCA patient on arrival to a cardiac arrest centre to improve patient selection for invasive interventions. The CREST model and SCAI shock classification were applied to a dual-centre registry of 723 patients with cardiac etiology OHCA, both with and without ST-elevation myocardial infarction, between May 2012 to December 2020. The primary endpoint was 30-day CED. Of 509 patients included (62.3 years, 75.4% male), 125 patients had CREST=0 (24.5%), 162 were CREST=1 (31.8%), 140 were CREST=2 (27.5%), 75 were CREST=3 (14.7%), 7 were CREST of 4 (1.4%) and no patients were CREST=5. CED was observed in 91 (17.9%) patients at 30 days [STEMI - 51/289 (17.6%); NSTEMI - 40/220 (18.2%)]. For the total population, and both NSTEMI & STEMI subpopulations, increasing CREST score was associated with increasing CED (all p<0.001). CREST score and SCAI classification had similar discrimination for the total population (AUC=0.72/calibration slope=0.95), NSTEMI cohort (AUC=0.75/calibration slope=0.940) and STEMI cohort (AUC=0.69 and calibration slope=0.925). AUC meta-analyses demonstrated no significant differences between the two classifications. The CREST model and SCAI shock classification have similar prediction for the development of CED after OHCA.

Fluorescein-guided surgery in high-grade gliomas: focusing on the eloquent and deep-seated areas

PurposeThe vital function of eloquent and deep brain areas necessitates precise treatment for tumors located in these regions. Fluorescein-guided surgery (FGS) has been widely used for high-grade gliomas (HGGs) resection. Nevertheless, the safety and efficacy of utilizing this technique for resecting brain tumors located in eloquent and deep-seated areas remain uncertain. This study aims to assess the safety and extent of resection of HGGs in these challenging tumors with fluorescein and explore its impact on patient survival.MethodsA retrospective analysis was conducted on the clinical and radiological data of 67 consecutive patients with eloquent or deep-seated HGGs who underwent surgery between January 2020 and June 2023. Lacroix functional location grade was used to determine the eloquence of the tumors. The comparison between the fluorescence-guided surgery group (FGS, n = 32) and the conventional white-light microscopic surgery group (non-FGS, n = 35) included assessments of extent of resection (EOR), rates of gross total resection (GTR, 100%) and near-total resection (NTR, 99 to 98%), postoperative Neurologic Assessment in Neuro-Oncology (NANO) scores, overall survival (OS), and progression-free survival (PFS), to evaluate the safety and efficacy of fluorescein-guided technology in tumor resection at these specific locations.ResultsBaseline of demographics, lesion location, and pathology showed no significant difference between the two groups. GTR of the FGS group was higher than the non-FGS group (84.4% vs. 60.0%, OR 3.60, 95% CI 1.18–10.28, p < 0.05). The FGS group also showed higher GTR + NTR (EOR ≥ 98%) than the non-FGS group (93.8% vs. 65.7%, OR 7.83, 95% CI 1.86–36.85, p < 0.01). 87.0% of eloquent tumors (Lacroix grade III) in the FGS group achieved GTR + NTR, compared to 52.2% of control group (OR 6.11, 95% CI 1.50–22.78, p < 0.05). For deep-seated tumors, the rate of GTR + NTR in the two groups were 91.7% and 53.3%, respectively (OR 9.62, 95% CI 1.05–116.50, p < 0.05). No significant difference of the preoperative NANO score of the two groups was found. The postoperative NANO score of the FGS group was significantly lower than the non-FGS group (2.56 ± 1.29 vs. 3.43 ± 1.63, p < 0.05). Median OS of the FGS group was 4.2 months longer than the non-FGS group despite no statistical difference (18.2 months vs. 14.0 months, HR 0.63, 95% CI 0.36–1.11, p = 0.112), while PSF was found significantly longer in FGS patients than those of the non-FGS group (11.2 months vs. 7.7 months, HR 0.59, 95% CI 0.35–0.99, p < 0.05).ConclusionSodium fluorescein-guided surgery for high-grade gliomas in eloquent and deep-seated brain regions enables more extensive resection while preserving neurologic function and improve patient survival.

Chitosan-modified manganese oxide-conjugated methotrexate nanoparticles delivering 5-aminolevulinic acid as a dual-modal T1-T2* MRI contrast agent in U87MG cell detection.

Glioblastoma multiforme is a highly aggressive form of brain cancer, and early diagnosis plays a pivotal role in improving patient survival rates. In this regard, molecular magnetic resonance imaging has emerged as a promising imaging modality due to its exceptional sensitivity to minute tissue changes and the ability to penetrate deep into the brain. This study aimed to assess the efficacy of a novel contrast agent in detecting gliomas during MRI scans. The contrast agent utilized modified chitosan coating on manganese oxide nanoparticles. The modification included adding methotrexate and 5-aminolevulinic acid (MnO2/CS@5-ALA-MTX) to target cells with overexpressed folate receptors and breaking down excess hydrogen peroxide in tumor tissue, resulting in enhanced signal intensity in T1-weighted MR images but diminished signal intensity in T2*-weighted MR images. The nanosystem was characterized and evaluated in MR imaging, safety, and ability to target cells both in vivo and in vitro. MTX-free nanoparticles (MnO2/CS@5-ALA NPs) had no obvious cytotoxicity on cell lines U87MG and NIH3T3 after 24/48 h at a concentration of up to 160 µgr/mL (cell viability more than 80%). In this system, methotrexate enables tumor targeting and the MnO2/5-ALA improves T1-T2*-weighted MRI. In addition, MRI scans of mice with M109 carcinoma indicated significant tumor uptake and NP capacity to improve the positive contrast effect. This developed MnO2/CS@5-ALA-MTX nanoparticle system may exhibit great potential in the accurate diagnosis of folate receptor over-expressing cancers such as glioblastoma.

Strauss criteria for left bundle branch block in cardiac resynchronization therapy: improved response with lower ventricular arrhythmic burden

Abstract Objectives The study sought to evaluate the impact of the stricter Strauss criteria for left bundle branch block (St-LBBB) on cardiac resynchronization therapy (CRT) response, hospitalizations, ventricular arrhythmia (VA) events and mortality. Background Although left bundle branch block (LBBB) is a strong predictor of response to CRT, a significant number of patients remain non-responders. Methods This is a retrospective analysis of prospectively collected data on heart failure (HF) patients with LBBB admitted for CRT implantation. Patients were divided in two groups according to the fulfillment or not of St-LBBB criteria. Results 82 patients with ischemic (ICM) and non-ischemic (NICM) HF [46 (56%) with St-LBBB and 36 (44%) with non-St-LBBB] were included. CRT response was more likely to occur in patients with St-LBBB (p&amp;lt;0.01), with the group of NICM exhibiting the greatest benefit (p&amp;lt;0.01). St-LBBB CRT responders displayed significantly lower rates of HF hospitalization (p&amp;lt;0.0001) compared to non-St-LBBB group. This was mostly evident in patients with NICM (p&amp;lt;0.0001) according to Kaplan-Meier time curves. CRT responders displayed significantly fewer VA events (p&amp;lt;0.001) and lower mortality rates (p&amp;lt;0.0001) than non-responders. Kaplan-Meier estimates demonstrated a significantly lower incidence of VAs in NICM patients with St-LBBB (p:0.049) in comparison to ICM patients with St-LBBB (p:0.25). Lower mortality rates were observed in CRT responders than non-responders (p&amp;lt;0.0001) with the group of NICM with St-LBBB criteria exhibiting the greatest benefit (p:0.0238). Conclusions Patients with NICM and St-LBBB present the greatest benefit with respect to CRT response, HF hospitalizations, VA events, and mortality. St-LBBB criteria may improve patient selection for CRT.

Cisternal and intraventricular irrigation in subarachnoid and intraventricular haemorrhage

BackgroundSubarachnoid haemorrhage (SAH) and intraventricular haemorrhage (IVH) are associated with poor patient outcomes. Intraventricular fibrinolysis is effective in clearing IVH and improving patient survival and neurological outcome. By similar rationale,...

Target engagement of an anti-MT1-MMP antibody for triple-negative breast cancer PET imaging and beta therapy

PurposeTriple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer that lacks effective diagnostic and therapeutic options. Membrane type 1 matrix metalloproteinase (MT1-MMP) is an attractive biomarker for improving patient selection. This study aimed to develop a theranostic tool using a highly tumour-selective anti-MT1-MMP antibody (LEM2/15) radiolabelled with 89Zr for PET and 177Lu for therapy in a TNBC murine model. MethodsThe LEM2/15 antibody and IgG isotype control were radiolabelled with 89Zr. PET imaging was performed in a TNBC orthotopic mouse model at 1, 2, 4, and 7 days after administration. Tissue biodistribution and pharmacokinetic parameters were analysed and Patlak linearisation was used to calculate the influx rate of irreversible uptake. The TNBC mice were treated with [177Lu]Lu-DOTA-LEM2/15 (single- or 3-dose regimen) or saline. Efficacy of [177Lu]Lu-DOTA-LEM2/15 was evaluated as tumour growth and DNA damage (γH2AX) in MDA 231-BrM2-831 tumours. ResultsAt 7 days post-injection, PET uptake in tumour xenografts revealed a 1.6-fold and 2.4-fold higher tumour-to-blood ratio for [89Zr]Zr-Df-LEM2/15 in the non-blocked group compared to the blocked and IgG isotype control groups, respectively. Specific uptake of LEM2/15 in TBNC tumours mediated by MT1-MMP-binding was demonstrated by the Patlak linearisation method, providing insights into the potential efficacy of LEM2/15-based treatments. A similar uptake was found for [89Zr]Zr-Df-LEM2/15 and [177Lu]Lu-DOTA-LEM2/15 in tumours 7 days post-injection (6.80 ± 1.31 vs. 5.61 ± 0.66 %ID/g). Tumour doubling time was longer in the [177Lu]Lu-DOTA-LEM2/15 3-dose regimen treated group compared to the control (50 vs. 17 days, respectively). The percentage of cells with γH2AX-foci was higher in tumours treated with [177Lu]Lu-DOTA-LEM2/15 3-dose regimen compared to tumours non-treated or treated with [177Lu]Lu-DOTA-LEM2/15 single-dose (12 % vs. 4–5 %). ConclusionsThe results showed that the 89Zr/177Lu-labelled anti-MT1-MMP mAb (LEM2/15) pair facilitated immune-PET imaging and reduced tumour growth in a preclinical TNBC xenograft model.

Efficacy and Safety of Minimally Invasive Surgery Techniques in The Treatment of Acute Appendicitis: A literature review.

An appendectomy is often used to treat acute appendicitis, which is characterized by inflammation of the vermiform appendix. Techniques in minimally invasive surgery (MIS), such as endoscopic retrograde appendicitis therapy (ERAT), single-incision laparoscopic surgery (SILS), and laparoscopic appendectomy, have become popular substitutes for open surgery. The purpose of this review is to assess the safety and effectiveness of MIS methods for treating acute appendicitis. A comprehensive analysis of English-language literature from 2019 to 2024 was carried out to evaluate the safety and efficacy of MIS procedures for acute appendicitis. Research that satisfied the inclusion requirements was examined for pertinent information on SILS, ERAT, and laparoscopic appendectomy. Compared to open surgery, laparoscopic appendectomy showed shorter hospital stays, less pain after surgery, and quicker recovery rates. Comparable to traditional laparoscopic methods in terms of effectiveness, SILS and TULS provide potential advantages in terms of cosmesis and patient satisfaction. With faster recovery durations and fewer complications, ERAT showed encouraging results; nonetheless, questions about long-term effectiveness and recurrence rates were raised. In order to treat acute appendicitis, MIS procedures provide viable options that may shorten hospital stays, ease postoperative pain, and increase patient satisfaction. More investigation is necessary to improve patient selection criteria and operative approaches in order to maximize the efficacy of MIS in the therapy of appendicitis.

MUltiparametric Score for Ventilation Discontinuation in Intensive Care Patients: A Protocol for an Observational Study.

Mechanical ventilation significantly improves patient survival but is associated with complications, increasing healthcare costs and morbidity. Identifying optimal weaning times is paramount to minimize these risks, yet current methods rely heavily on clinical judgment, lacking specificity. This study introduces a novel multiparametric predictive score, the MUSVIP (MUltiparametric Score for Ventilation discontinuation in Intensive care Patients), aimed at accurately predicting successful extubation. Conducted at Santo Stefano Hospital's ICU, this single-center, observational, prospective cohort study will span over 12 months, enrolling adult patients undergoing invasive mechanical ventilation. The MUSVIP integrates variables measured before and during a spontaneous breathing trial (SBT) to formulate a predictive score. Preliminary analyses suggest an Area Under the Curve (AUC) of 0.815 for the MUSVIP, indicating high predictive capacity. By systematically applying this score, we anticipate identifying patients likely to succeed in weaning earlier, potentially reducing ICU length of stay and associated healthcare costs. This study's findings could significantly influence clinical practices, offering a robust, easy-to-use tool for optimizing weaning processes in ICUs.

Abstract B019: Identification of gene signatures predictive of response to Ad-IFNα/Syn3 in bladder cancer

Abstract Introduction: Interferon α gene therapy (Ad-IFNα/Syn3) is FDA approved for treatment of BCG-unresponsive non-muscle invasive bladder cancer. Ad-IFNα/Syn3 is a non-replicating adenovirus that when transduced into target tissues, produces IFNa2b protein with anti-tumor activity. In the phase 3 multicenter trial, 45.5% of patients with carcinoma-in-situ and 60% of those with Ta/T1 disease who had a complete response to Ad-IFNα/Syn3 at 3 months remained recurrence free at 12 months. Targeting mechanisms of resistance and identifying predictive biomarkers to improve patient selection and overall response rates is a top priority. Towards this, we treated 29 human bladder cancer cell lines with Ad-IFNα/Syn3 and assessed their responses to therapy. We identified sensitive and resistant cell lines and gene signatures predictive of response. Methods: Human bladder cancer cell lines were grown in MEM supplemented with 10% FBS in 96-well plate. After overnight attachment, these were treated with Ad-IFNα/Syn3 (MOI 1000) and cell titre glow assay was performed 72h post-treatment. Cells were also seeded in 6-well plates. and after 24h cell-free supernatants were collected for ELISA and cells were collected for RNA isolation using RNAqueous Total RNA Isolation kit (Thermo Fisher). RNA quality was assessed using Tapestation. RNAseq analysis was carried out using Ion proton Sequencer. Ingenuity pathway analysis (IPA) and gene set enrichment were performed on the sequencing data for the cell lines. ELISA was used to measure IFNα and IL6 protein levels in cell free supernatants. We also tested organoids developed from bladder cancer patients to test drug efficacy and identify gene signatures. Results: Out of the 29 cell lines, we identified that sensitivity to Ad-IFNα/Syn3 was pronounced in luminal cells (8/13 luminal cell lines). Most basal cells were either resistant (&amp;gt;70% viability) or only moderately sensitive to Ad-IFNα/Syn3 (between 70-40% viability) when compared to control. We selected 7 cell lines for sequencing and ELISA measurements: luminal cell lines BV, UC6, Rt4V6 and UC5, and basal cell lines ScaBER, HT1197, and T24. All cell lines mentioned above could be successfully transduced by the adenoviral vector as measured by increased expression of IFNα protein in the cell-free supernatants. Ad-IFNα/Syn3-sensitive luminal cell lines at baseline had lower IFNα and IFNγ scores when compared to resistant basal cell lines. We identified several cell-death pathways enriched in treated cells that were sensitive to Ad-IFNα/Syn3. IL6 measurements in cell free supernatants revealed increased expression of IL6 after treatment in sensitive cells. However, in resistant cells IL6 expression was either high at baseline (ScaBER) or both undetectable at baseline and after treatment (UC5). Conclusion: Our results suggest that the luminal cell lines are more sensitive to Ad-IFNα/Syn3 and that high baseline expression of IFNα and IFNγ in basal cell lines contributes to resistance. IL6 levels are also predictive of response to Ad-IFNα/Syn3. Citation Format: Morgan E. Pierce, Alexis R. Steinmetz, Aruna Nannapaneni, Tanner S. Miest, David J. McConkey, Sharada Mokkapati, Colin P.N. Dinney. Identification of gene signatures predictive of response to Ad-IFNα/Syn3 in bladder cancer [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr B019.

Folic acid-mediated enhancement of the diagnostic potential of luminescent europium-doped hydroxyapatite nanocrystals for cancer biomaging

Early and accurate cancer diagnosis is crucial for improving patient survival rates. Luminescent nanoparticles have emerged as a promising tool in fluorescence bioimaging for cancer diagnosis. To enhance diagnostic accuracy, ligands promoting endocytosis into cancer cells are commonly incorporated onto nanoparticle surfaces. Folic acid (FA) is one such ligand, known to specifically bind to folate receptors (FR) overexpressed in various cancer cells such as cervical and ovarian carcinoma. Therefore, surface modification of luminescent nanoparticles with FA can enhance both luminescence efficiency and diagnostic accuracy. In this study, luminescent europium-doped hydroxyapatite (EuHAp) nanocrystals were prepared via hydrothermal method and subsequently modified with (3-Aminopropyl)triethoxysilane (APTES) followed by FA to target FR-positive human cervical adenocarcinoma cell line (HeLa) cells. The sequential grafting of APTES and then FA formed a robust covalent linkage between the nanocrystals and FA. Rod-shaped FA-modified EuHAp nanocrystals, approximately 100 nm in size, exhibited emission peaks at 589, 615, and 650 nm upon excitation at 397 nm. Despite a reduction in photoluminescence intensity following FA modification, fluorescence microscopy revealed a remarkable 120-fold increase in intensity compared to unmodified EuHAp, attributed to the enhanced uptake of FA-modified EuHAp. Additionally, confocal microscope observations confirmed the specificity and the internalization of FA-modified EuHAp nanocrystals in HeLa cells. In conclusion, the modification of EuHAp nanocrystals with FA presents a promising strategy to enhance the diagnostic potential of cancer bioimaging probes.

Opportunities and challenges in accurate early diagnosis and treatment of lung cancer/pulmonary nodules

Lung cancer remains the most prevalent and lethal malignancy in our country. Early diagnosis and treatment are crucial for improving patient prognosis in lung cancer/pulmonary nodules. Recent advancements in non-invasive/minimally invasive liquid biopsy, multi-omics, and artificial intelligence technologies have significantly enhanced the accuracy of early lung cancer/pulmonary nodule diagnosis. However, an early diagnostic method with both high sensitivity and specificity is yet to be established. Furthermore, addressing the methods and extent of early precision surgery, local precision therapy, perioperative combined treatment, and postoperative recurrence and metastasis monitoring are urgent challenges in the early management of lung cancer/pulmonary nodules. Integrating the advantages of various treatment strategies and formulating personalized and precise treatment plans is key to further improving patient survival. In the future, while exploring new therapeutic strategies, it is necessary to continuously search for biomarkers to identify the population that will benefit from the treatment effectively. Additionally, large-sample randomized controlled clinical studies should be conducted to investigate the benefits of long-term patient survival under a diverse range of treatment strategies.