Background: Although a range of therapeutic options are available in the management of invasive breast carcinomas, spatial segregation of tumour subclones has hampered biomarker identification in single-region samples. Representative sampling (RS) overcomes spatial bias by sampling from a homogenized and well-mixed cancer specimen. The Homogenization of Leftover Surgical Tissue Feasibility Study (HoLST-F - NCT03832062) is a prospective trial aiming to assess the feasibility of RS in tumor tissue leftover after pathology sampling. An interim analysis of the breast cancer cohort is presented. Methods: In the context of the HoLST-F study and pre-specified end-points, representative samples derived from 75 leftover invasive breast carcinoma specimens underwent flow cytometric analysis of CK8/18, CD3, Ki67 and DAPI. Tumor cell enrichment by CK8/18 positivity and ploidy (in aneuploid carcinomas) was performed for downstream DNA extraction and whole exome sequencing. Somatic variants were determined using a bespoke pipeline to remove artefacts associated with fixation. Variant oncogenicity and therapeutic evidence levels were assigned by OncoKB variant annotation. Quantitative image analysis was applied to tissue sections from diagnostic FFPE blocks stained with Ki67 immunohistochemistry (n=78) and H&E for lymphocytic infiltration scores (n=175) to correlate with flow cytometry. Results: In enriched representative samples, oncogenic mutations were commonly identified at high variant allele frequency (VAF) in known breast carcinoma driver genes including PIK3CA, CDH1, TP53, KMT2C and GATA3. Other clinically relevant oncogenic mutations were identified in ESR1, PTEN, ERBB2, RB1, AKT1, BRCA1, NF1 and FOXA1 which have been associated with resistance to various anti-cancer therapies. These mutations occurred at low and high VAFs indicative of both of clonal and sub-clonal resistance mechanisms. Recurrent variants in ESR1 (e.g. D538G) and PIK3CA (e.g. H1047R/L) were associated with Level 1 evidence for use as predictive biomarkers, while variants in twelve other genes across the cohort were associated with Level 2-4 evidence. Lymphocyte infiltration scores and Ki67 expression varied by tumor region, however RS by flow cytometry showed strong correlation with a weighted average across multiregional quantification of Ki67 expression (R=0.81, p=2.8 × 10-8) and lymphocyte infiltration (R=0.61, p<2.2 × 10-16). Conclusions: RS of invasive breast carcinoma in the HoLST-F trial has recapitulated the expected genomic driver landscape in breast cancer, in addition to identifying both clonal and subclonal genomic mechanisms of therapy resistance. Many of these mutations are either current or emerging therapeutic targets. Flow quantification of cells expressing phenotypic biomarkers (Ki67 and CD3) is feasible through RS and early analysis indicates that RS correlates with a weighted average across multiple regions. Leftover surgical tissue is an underutilized resource for biomarker assessment in breast carcinomas and can be examined by RS. Citation Format: Brian Hanley, Lisa Gallegos, Lavinia Spain, Husayn Pallikonda, Zayd Tippu, Samantha Hill, Aoune Barhoumi, Fiona Byrne, Yulia Dogva, Ashley Gilchrist, Glenn Noel-Storr, Hannah Veloz, Stacey Stanislaw, Harold Sansano, Kim Edmonds, Eleanor Carlyle, Nicholas Turner, James Larkin, Nelson Alexander, Samra Turajlic. Representative sampling of invasive breast carcinomas: Interim report from a prospective study (HOLST-F) [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr A007.

The aim of this study was to investigate attitudes and preferred therapy choice for first permanent molars (FPM) with Molar-Incisor Hypomineralization (MIH). An online questionnaire was sent out to general dentists (n = 559) working in the Public Dental Service in Region Västra Götaland, orthodontists (n = 293), and pediatric dentists (n = 156) (members from each interest association), in Sweden. The questionnaire contained three parts: general questions regarding the respondents, patient cases, and general questions regarding extraction of FPMs with MIH. Statistics were carried out using Chi-squared tests, with a significance level of 5%. A response rate of 36% was obtained. Orthodontists and pediatric dentists were more prone to extract FPMs with both moderate and severe MIH, compared to general dentists. When restoring FPMs with moderate MIH, resin composite was preferred. Compared to the general dentists, the pediatric dentists were more prone to choose glass-ionomer cement in the FPMs with severe MIH. The most common treatment choice for FPMs with mild MIH was fluoride varnish. “When root furcation is under development of the second permanent molar on radiographs” was chosen as the optimal time for extracting FPMs with severe MIH, and the general dentists based their treatment decisions on recommendations from a pediatric dentist. Extraction of FPMs with moderate and severe MIH is considered a therapy of choice among general dentists and specialists, and the preferred time of extraction is before the eruption of the second permanent molar.

Significance Existing targeted therapies for solid tumors harboring FGFR2 alterations include pan-FGFR inhibitors, which often cannot be dosed to maximum efficacy due to FGFR1- and FGFR4-mediated toxicities. The structural similarity among FGFR family members has thwarted conventional approaches to structure-based design of FGFR2-selective inhibitors, so we used long-timescale molecular dynamics simulations to identify differential motions of FGFR2 and FGFR1 that could be leveraged to design FGFR2-selective inhibitors. Our efforts led to lirafugratinib (RLY-4008), an FGFR2 inhibitor exhibiting substantial selectivity over other FGFRs. Lirafugratinib was reported to have a 73% objective response rate in early clinical studies in FGFR-inhibitor naive, FGFR2 fusion-positive intrahepatic cholangiocarcinoma patients treated orally (once daily doses ≥70 mg) without inducing clinically significant adverse effects by inhibiting off-targets.

Aim Lung adenocarcinoma (ADC) is a leading subtype of lung cancer, histologically defined with five different architectural growth patterns: lepidic, acinar, papillary, solid and micropapillary. The aim of this study was to explore the prevalence of epidermal growth factor receptor (EGFR) mutation and a relationship between the specific histological patterns of lung ADC in the population of Bosnia and Herzegovina. Methods The study included tumour tissue from 102 patients with completely resected lung ADC from 2015 to 2020. Molecular testing for the presence of EGFR mutations was performed by real-time PCR method. The relationship between EGFR mutation status and clinicopathological parameters was analysed. Results The EGFR mutation was detected in 12 (11.8%) cases of ADC, more often in non-smokers (p=0.007). A higher percentage of solid growth pattern presented in ADC may be an indicator of EGFR negativity (p=0.039), while a higher percentage of micropapillary growth pattern more common in the presence of EGFR mutation (p=0.047). Conclusion The prevalence of EGFR mutation is in accordance with the expected prevalence considering our studied population, Caucasians from South Europe. Better understanding of the relationship between histological patterns and molecular characteristics of lung ADC will enable earlier diagnosis and optimal treatment for patients.

liver

Aim To investigate the association between type 2 diabetes mellitus (T2DM) and pulmonary embolism, as well as to determine the prognostic value of troponin, D-dimer, prothrombotic, and proinflammatory markers in patients with T2DM. Methods The retrospective cohort study included 305 patients with pulmonary embolism, divided into two groups: the first group with type 2 diabetes mellitus (n=165) and the control group without type 2 diabetes mellitus (n=140). Data were collected from May 2018 to May 2023. In all patients the following parameters were analysed: anthropometric parameters, laboratory parameters (troponin, D-dimer, CRP, fibrinogen, uric acid, glucose, total cholesterol, HDL cholesterol, LDL cholesterol, triglycerides), arterial blood pressure, antiphospholipid antibodies, HOMA-IR index, CT angiography of the pulmonary artery, rate of adverse clinical events in pulmonary embolism (need for inotropic catecholamine support, fibrinolysis, cardiopulmonary resuscitation) and the rate of intrahospital mortality from pulmonary embolism. Results Patients with T2DM had elevated troponin, D-dimer, CRP, uric acid, fibrinogen, HOMA-IR and more severe clinical complications with higher mortality rates within 10 days of hospital admission. Significant predictors of PE in T2DM patients were found. Patients with pulmonary embolism in T2DM had a 4.38 times higher chance of death compared to patients with pulmonary embolism without T2DM. Conclusions Troponin, D-dimer, prothrombotic, and proinflammatory markers have good prognostic value for short-term outcomes in PE among patients with T2DM.

Aim To create a predictive score based on functional parameters of the liver and determine its prognostic value in survival of patients with decompensated cirrhosis. Methods Retrospective observational study included 91 consecutive patients with decompensated cirrhosis. Functional parameters (bilirubin, AST - aspartate aminotransferase, ALT - alanine aminotransferase, ALP - alkaline phosphatase, GGT - gammaglutamyltranferase, albumin, prothrombin time, platelet count, haematocrit and creatinine), Child-Pugh (CP) and Model of EndStage Liver Disease (MELD) scores have been measured at first hospitalization and at every exacerbation episode over follow-up period of 24 months. Results Using Cox regression analysis, we found that age (OR=1.206; p=0.03; 95% CI=1.019-1.428), serum bilirubin (OR=1.017; p=0.003; 95% CI=1.006-1.029), INR (International normalized ratio) (OR=6.262; p=0.002; 95% CI=1.924-20.378) and serum creatinine (OR=1.019; p=0.005; 95% CI=1.006- 1.032) had statistically strong association with the incidence of a six-month mortality. Age (OR=1.120; p=0.006; 95% CI=1.033- 1.214), serum bilirubin (OR=1.021; p=0.0001; 95% CI=1.010- 1.032), GGT (OR=1.007; p=0.023; 95% CI=1.001-1.014), INR (OR=9.571; p=0.001; 95% CI=2.610-35.098), haematocrit (OR=0.695; p=0.001; 95% CI=0.559-0.864) and serum creatinine (OR=1.023; p=0.0001; 95% CI=1.011-1.035) showed an increased the risk for a 24-month lethal outcome. Predictive score derived from liver functional parameters, CP and MELD scores, each independently has shown a high degree of death prediction after 6 or 24 months in patients with end-stage liver disease. Conclusion Predictive score derived from liver functional parameters had a better prognostic value for short-term and long-term mortality comparing to MELD and Child-Pugh score.

Aim This study provides a comprehensive review of the current literature on the use of ChatGPT, a generative Artificial Intelligence (AI) tool, in neurosurgery. The study examines potential benefits and limitations of ChatGPT in neurosurgical practice and education. Methods The study involved a systematic review of the current literature on the use of AI in neurosurgery, with a focus on ChatGPT. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed to ensure a comprehensive and transparent review process. Thirteen studies met the inclusion criteria and were included in the final analysis. The data extracted from the included studies were analysed and synthesized to provide an overview of the current state of research on the use of ChatGPT in neurosurgery. Results The ChatGPT showed a potential to complement and enhance neurosurgical practice. However, there are risks and limitations associated with its use, including question format limitations, validation challenges, and algorithmic bias. The study highlights the importance of validating machine-generated content for accuracy and addressing ethical concerns associated with AI technologies. The study also identifies potential benefits of ChatGPT, such as providing personalized treatment plans, supporting surgical planning and navigation, and enhancing large data processing efficiency and accuracy. Conclusion The integration of AI technologies into neurosurgery should be approached with caution and careful consideration of ethical and validation issues. Continued research and development of AI tools in neurosurgery can help us further understand their potential benefits and limitations.

Aim To investigate the correlations between tumour characteristics, symptoms, intraoperative findings, and outcomes in patient with meningioma. Methods A retrospective study was conducted on 86 surgically treated patients at Department of Neurosurgery of Cantonal Hospital Zenica from 2010 to 2020. Patients with intracranial meningiomas underwent neurological evaluation and MRI scans to analyse tumour characteristics, including volume (TV), peritumoral brain oedema (PTBE) and oedema index (EI). Surgical treatment was performed, followed by postoperative MRI and outcome assessment. Intraoperatively, the tumour's relationship with cortex, pial membrane, skull bones, and sinuses was evaluated, and the extent of tumour resection was graded. Meningioma samples underwent histopathological analysis to assess the grade and regularity of borders, and Ki-67 labelling index was determined using immunohistochemistry. Results Significant correlations were found between PTBE and Ki67 expression (p<0.001), PTBE and vomiting/nausea (p=0.002), cognitive impairment (p=0.047), venous compression (p=0.001), cortical, pial and dural invasion (p<0.05), and the postoperative presence of oedema (p=0.002). Venous compression, cortical, pial, dural and bone invasion positively correlated with Ki-67 expression (p<0.001). Grade and tumour border positively correlated with Ki-67 expression (p<0.001). Oedema persistence postoperatively showed a positive correlation with Ki-67 expression (p<0.001). Conclusion The study revealed significant correlations between Ki-67 expression and PTBE, with notable associations with clinical symptoms, tumour characteristics, and postoperative oedema presence.

Efficiently mapping quantum circuits onto hardware is integral for the quantum compilation process, wherein a circuit is modified in accordance with a quantum processor’s connectivity. Many techniques currently exist for solving this problem, wherein SWAP-gate overhead is usually prioritized as a cost metric. We reconstitute quantum circuit mapping using tools from quantum information theory, showing that a lower bound, which we dub the lightcone bound, emerges for a circuit executed on hardware. We also develop an initial placement algorithm based on graph similarity search, aiding us in optimally placing circuit qubits onto a device. 600 realistic benchmarks using the IBM Qiskit compiler and a brute-force method are then tested against the lightcone bound, with results unambiguously verifying the veracity of the bound, while permitting trustworthy estimations of minimal overhead in near-term realizations of quantum algorithms. This work constitutes the first use of quantum circuit uncomplexity to practically-relevant quantum computing.

UBASH3A and UBASH3B are protein families of atypical protein tyrosine phosphatases that function as regulators of various cellular processes during mammalian development. As UBASH3A has only mild phosphatase activity, its regulatory effects are based on the phosphatase-independent mechanisms. On the contrary, UBASH3B has strong phosphatase activity, and the suppression of its receptor signalling is mediated by Syk and Zap-70 kinases. The regulatory functions of UBASH3A and UBASH3B are particularly evident in the lymphoid tissues and kidney development. These tyrosine phosphatases are also known to play key roles in autoimmunity and neoplasms. However, their involvement in mammalian development and its regulatory functions are largely unknown and are discussed in this review.

Purpose- The purpose of this study is to investigate whether regional variations exist in the development of the digital economy and how they impact growth in the four global regions where Muslims predominate. Methodology- The study employs empirical examination of 48 countries with Muslim majority divided in four regions (Middle East and North Africa region, Europe and Eurasia region, South Asia, East Asia region and the Pacific and Africa region) between 2000 to 2021. The study employs Kao Residual Cointegration Test, and the Long-run Valuation of Fully Modified Ordinary Least Squares (FMOLS/DOLS-Dynamic). A certain number of specific variables in the econometric model will be employed to measure the level of digitization on economic growth, such as: Digital economy infrastructure proxied by Individuals using the internet, Digital economic openness proxied by ICT product exports and Digital technology competitiveness proxied by Research and Development as share of GDP. Findings- The analysis reveals that despite the fact that the digital economy made a positive contribution to economic growth in both Sub-Saharan Africa and Europe and Euroasia, the impact on these regions is less than that on the Middle East and North Africa, South Asia, East Asia, and the Pacific countries due to the underdeveloped infrastructure of the digital economy The least effect of digitalization on growth was found in Sub-Saharan African countries with low incomes.. Conclusion- Based upon the analysis, it may be concluded that digitalization can considerably boost economic growth, but its benefits may differ depending on how developed a nation is. There is a clear geographical imbalance in the development of the digital economy across 48 nations with a majority of Muslims .To increase overall GDP growth, those countries need to look into policies that will help increase ICT and the digital economy use. Keywords: Digital economy, economic growth, ICT, the Muslim Word, panel cointegration model. JEL Codes: O40, O47, E22.