Dimitrios Kardamakis

Purpose of this study is to examine how AI interferes with medical practice by enhancing medical ethics rules and standards. Also, this research examines how AI contributes to medical confidentiality which stands as a key role of medical ethics to its mandate for beneficence. Another matter is a complete medical diagnosis that demands accurate family history and psychological information about the patients. Qualitative research has been conducted from August 2020 through December 2021 with the use of a closed type of questionnaire including both questions and case studies. The type and form of the questionnaire have been determined by the nature of the medical profession and the very limited free time of physicians. The questionnaire was distributed only to medical doctors and physicians in Greece who were registered as active members of medical associations. Within the context of Medical Ethics, AI can be used to minimize the human error and help the doctor decide according to the best interest of the patient. In the future AI will be even more capable so further research must be under way to recreate boundaries and keep AI accountable for actions or mistakes that have been made under its control.

At the end of the nineteenth century, Wilhelm Conrad Roentgen discovered X-rays and Henri Becquerel discovered radioactivity. In the early years after that, there was a lot of misunderstanding regarding the effects of ionizing radiation and its practical applications. Medical employment of ionizing radiation began immediately after the discovery of X-rays. However, until World War Two, radioactive substances were widely used and misused. Until the early 1960s, ionizing radiation was commonly used for treatment of various diseases. Since then, however, radiation therapy has been confined nearly exclusively to cancer treatment. Two factors contributed to the phasing out of radiotherapy for non-oncological purposes: the growing awareness of radiation carcinogenesis and the development of efficient drugs (primarily, antibiotics). Radio-induced cancers have been known for above a century. The linear no-threshold (LNT) risk model considers that cancer risk is proportional to radiation dose and no radiation exposure is safe. Although LNT has never been scientifically validated, it is used for the management of radiological protection. Progress in understanding the carcinogenesis associated with ionizing radiation has resulted from a better comprehension of the DNA damage repair and other defense mechanisms.

The accumulation of cell biomass is associated with dramatically increased bioenergetic and biosynthetic demand. Metabolic reprogramming, once thought as an epiphenomenon, currently relates to disease progression, also in response to extracellular fate-decisive signals. Glioblastoma multiforme patients often suffer misdiagnosis, short survival time, low quality of life, and poor disease management options. Today, tumor genetic testing and histological analysis guide diagnosis and treatment. We and others appreciate that metabolites complement translational biomarkers and molecular signatures in disease profiling and phenotyping. Herein, we coupled a mixed-methods content analysis to a mass spectrometry-based untargeted metabolomic analysis on plasma samples from glioblastoma multiforme patients to delineate the role of metabolic remodeling in biological plasticity and, hence, disease severity. Following data processing and analysis, we established a bioenergetic profile coordinated by the mitochondrial function and redox state, lipids, and energy substrates. Our findings show that epigenetic modulators are key players in glioblastoma multiforme cell metabolism, in particular when microRNAs are considered. We propose that biological plasticity in glioblastoma multiforme is a mechanism of adaptation and resistance to treatment which is eloquently revealed by bioenergetics.

Urothelial carcinoma is the most common type of bladder cancer including upper urinary tract urothelial cell carcinoma (renal pelvis and ureters) and urethral carcinoma. It exhibits high mortality and morbidity rates and is usually diagnosed at a late, incurable stage, carrying a poor prognosis. Local symptoms in patients with metastatic urothelial carcinoma (mUC) have an adverse impact on quality of life (QoL) and are associated with frequent hospitalizations. Herein, we review the role of palliative radiotherapy in mUC as the means to ameliorate a wide range of symptoms, seeking optimum patient stratification, even though the latter should be balanced against any acute or late toxicity that may arise. For this, links to the molecular biology of mUC are explored and QoL assessments are presented. To maximize patient benefit from radiotherapy, we conclude that multi-modal datasets need to be re-visited to better inform multi-center studies where policy makers, health professionals, researchers, and patient groups meet. Radiotherapy either as a monotherapy or alongside systemic therapy may serve as an added value.

Metastatic ureteral tumors arising from a primary breast carcinoma are extremely rare. They present with hematuria and radiological findings compatible with obstructive ureteral phenomena. We present a case of an 87-year-old woman with a history of lymphoma and triple negative breast cancer (TNBC), during an emergency admission for peptic ulcer, developed macroscopic hematuria. Radiologic and endoscopic investigations revealed a remarkable stenosis at the lower segment of the right ureter, attributed to metastases from her breast carcinoma. We report this case with the aim to make both oncologists and urologists aware of this rare condition.

Malignant gliomas constitute a complex disease phenotype that demands optimum decision-making as they are highly heterogeneous. Such inter-individual variability also renders optimum patient stratification extremely difficult. microRNA (hsa-miR-20a, hsa-miR-21, hsa-miR-21) expression levels were determined by RT-qPCR, upon FFPE tissue sample collection of glioblastoma multiforme patients (n = 37). In silico validation was then performed through discriminant analysis. Immunohistochemistry images from biopsy material were utilized by a hybrid deep learning system to further cross validate the distinctive capability of patient risk groups. Our standard-of-care treated patient cohort demonstrates no age- or sex- dependence. The expression values of the 3-miRNA signature between the low- (OS > 12 months) and high-risk (OS < 12 months) groups yield a p-value of 12 months) vs. high-risk (OS < 12 months) glioblastoma multiforme patients. Our 3-microRNA signature (hsa-miR-20a, hsa-miR-21, hsa-miR-10a) may further empower glioblastoma multiforme prognostic evaluation in clinical practice and enrich drug repurposing pipelines.

Aberrant angiogenesis is a hallmark for cancer and inflammation, a key notion in drug repurposing efforts. To delineate the anti-angiogenic properties of amifostine in a human adult angiogenesis model via 3D cell metabolomics and upon a stimulant-specific manner, a 3D cellular angiogenesis assay that recapitulates cell physiology and drug action was coupled to untargeted metabolomics by liquid chromatography–mass spectrometry and nuclear magnetic resonance spectroscopy. The early events of angiogenesis upon its most prominent stimulants (vascular endothelial growth factor-A or deferoxamine) were addressed by cell sprouting measurements. Data analyses consisted of a series of supervised and unsupervised methods as well as univariate and multivariate approaches to shed light on mechanism-specific inhibitory profiles. The 3D untargeted cell metabolomes were found to grasp the early events of angiogenesis. Evident of an initial and sharp response, the metabolites identified primarily span amino acids, sphingolipids, and nucleotides. Profiles were pathway or stimulant specific. The amifostine inhibition profile was rather similar to that of sunitinib, yet distinct, considering that the latter is a kinase inhibitor. Amifostine inhibited both. The 3D cell metabolomics shed light on the anti-angiogenic effects of amifostine against VEGF-A- and deferoxamine-induced angiogenesis. Amifostine may serve as a dual radioprotective and anti-angiogenic agent in radiotherapy patients.

Background: Radiation Therapy (RT) is an established treatment option for benign intracranial lesions. The aim of this study is to display an update on the role of RT concerning the most frequent benign brain lesions and tumors.Methods: Published articles about RT and meningiomas, Vestibular Schwannomas (VSs), Pituitary Adenomas (PAs), Arteriovenous Malformations (AVMs) and craniopharyngiomas were reviewed and extracted data were used.Results: In meningiomas RT is applied as an adjuvant therapy, in case of patientrefusing surgery or in unresectable tumors. The available techniques are External Beam RT (EBRT) and stereotactic ones such as Stereotactic Radiosurgery (SRS), Fractionated Stereotactic RT (FSRT), Intensity Modulated RT (IMRT) and proton-beam therapy. The same indications are considered in PAs, in which SRS and FSRT achieve excellent tumor control rate (92-100%), acceptable hormone remission rates (>50%) and decreased Adverse Radiation Effects (AREs). Upon tumor growth or neurological deterioration, RT emerges as alone or adjuvant treatment against VSs, with SRS, FSRT, EBRT or protonbeam therapy presenting excellent tumor control growth (>90%), facial nerve (84-100%), trigeminal nerve (74-99%) and hearing (>50%) preservation. SRS poses an effective treatment modality of certain AVMs, demonstrating a 3-year obliteration rate of 80%. Lastly, a combination of microsurgery and RT presents equal local control and 5-year survival rate (>90%) but improved toxicity profile compared to total resection in case of craniopharyngiomas.Conclusion: RT comprises an effective treatment modality of benign brain and intracranial lesions. By minimizing its AREs with optimal use, RT projects as a potent tool against such diseases.

The aim of this study is to investigate the preventive role of 3 herbal formulation products on reducing the incidence of radiation-induced dermatitis in patients undergoing radiotherapy for either breast or head and neck cancer. A total of 59 patients participated in the study. The novel herbal products, a combination of beeswax, olive oil, Calendula and Hypericum oils and Aloe gel, were daily and regularly being used by the patients during radiotherapy and 2 weeks after treatment end. Acute skin toxicity was scored weekly during radiotherapy and after treatment for a further 4-week follow-up period. Demographic data were analyzed by descriptive statistics. Statistical analyses of the study objectives were based on an intent-to-treat principle. Most of the patients presented with grade I (RTOG/EORTC) toxicity in the first weeks of radiotherapy, progressed to grade II but reverted to grade I toxicity up until the study end. A total of 94.9% of the patients had Dermatology Life Quality Index up to 1, and 66.1% remained in this scale. The application of the novel natural product combinations proved to be statistically significantly effective in reducing the intensity of radiation dermatitis, positively affecting the quality of life of the patients.

Background/Aim: Radiation dermatitis is observed in 95% of breast cancer patients receiving radiotherapy. The aim of this study was to explore the correlation between protein expression in tumor cells and the risk of developing radiation dermatitis. Patients and Methods: Breast cancer patients receiving postoperative radiotherapy were included in this study. Tumor specimens from 122 patients were examined by immunohistochemistry for the expression of Ki67, ataxia telangiectasia mutated (ATM) kinase, hypoxia-inducible factor-1-alpha (HIF-1a), inducible nitric oxide synthase (iNOS), and a-glucosidase (aGluc). The findings were correlated with the occurrence and severity of radiation dermatitis (Radiation therapy oncology group-RTOG grading scale), taking into consideration body weight and skin type (Fitzpatrick system). Data were explored further via pathway and network analyses. Results: Correlation of radiation dermatitis (RTOG scale) with the observed increased expression of Ki67, ATM, iNOS, HIF-1a and aGluc, failed to reach statistical significance when skin type and/or body weight were considered. Network interactions of proteins involved in tumor growth (Ki67, ATM) and/or affect the oxidation state of the cell (HIF-1a, iNOS, aGluc) were revealed, that may contribute to the risk of developing acute radiation dermatitis. Conclusion: Correlation of the increased expression of the studied proteins and the occurrence and severity of radiation dermatitis in women undergoing postoperative radiotherapy, failed to reach statistical significance. Pathway and network analyses predicted that vasodilation and angiogenesis may contribute to radiation-induced dermatitis via mechanisms that need to be further explored. Our strategy serves as a paradigm for coupling histopathological data to molecular findings and network analyses for risk assessment in the clinic.