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Gastrointestinal cancer is a common malignant tumor with a high incidence worldwide. Despite continuous improvements in diagnosis and treatment strategies, the overall prognosis of gastrointestinal tumors remains poor. Carcinoembryonic antigen (CEA) is highly expressed in various types of cancers, especially in gastrointestinal cancers, making it a potential target for therapeutic intervention. Therefore, the expression of CEA can be used as an indication of the existence of tumors, chosen as a target for molecular imaging diagnosis, and effectively utilized in the targeted therapy of gastrointestinal cancers. In this study, we report the selection and characterization of affibody molecules (ZCEA539, ZCEA546, and ZCEA919) specific to the CEA protein. Their ability to bind to recombinant and native CEA protein has been confirmed by surface plasmon resonance (SPR), immunofluorescence, and immunohistochemistry assays. Furthermore, Dylight755-labeled ZCEA affibody showed accumulation within the tumor site 1 h post injection and was continuously enhanced for 4 h. The Dylight755-labeled ZCEA affibody exhibited high tumortargeting specificity in CEA+ xenograft-bearing mice and possesses promising characteristics for tumor-targeting imaging. Overall, our results suggest the potential use of ZCEA affibodies as fluorescent molecular imaging probes for detecting CEA expression in gastrointestinal cancer. [ABSTRACT FROM AUTHOR]

Background: Pleuropulmonary Blastoma (PPB) is an extremely uncommon, highly aggressive tumor that arises from either the lungs or pleura. According to Dehner, PPB was classified into three groups: type I (cystic), type II (mixed), and type III (solid). Type I tends to occur more commonly in infants and has a more favorable prognosis compared to types II and III. This tumor is very rare in pediatric age group; hence, there is no consensus on the optimal treatment regimen for it to date. Type I tumors, which resemble congenital lung cysts, can eventually progress to more aggressive type II and type III tumors. This article aims to increase general awareness of this pathology, clinical presentation, and differential diagnosis in order to identify this rare entity early in its course. By presenting 4 such cases, we highlight that PPB can be missed early in diagnosis and it is important to be alert when putting this rare tumor in differential diagnosis of cystic lung lesions. Methods: A retrospective study was conducted between 2015 and 2020 involving patients who had a definitive diagnosis of PPB with emphasis on clinical presentation, preoperative imaging studies, intra-operative findings, pathological reports, ancillary treatment, and outcomes. All patients were followed up every 6 months to monitor local recurrence and distant metastasis by undergoing physical exam and non-contrast enhanced CT of the chest. The primary outcome is to identify the mortality and morbidity (recurrence and distant metastasis) of PPB for cases admitted in our institute. Results: Four children were diagnosed with PPB during the study period. Clinically, patients presented with manifestations ranging from respiratory distress, fever to obstructive shock and radiologically, 2 cases were presented with mediastinal mass and the other 2 presented with pneumothorax. Regrettably, none of the cases were diagnosed pre-operatively. One lesion proved to be type I, 2 were type II and one was type III. All cases underwent chemotherapy using the combination of vincristine, Adriamycin and cyclophosphamide (VAC regimen). Recurrence was detected in a type II case, around 2 years after operation, and the other type II case developed brain metastasis that was discovered 3 years after operation. Type I case showed no local or distant metastasis. Conclusion: A prompt preoperative diagnosis and workup of cases of PPB is crucial to enable optimal intervention intraoperatively and early postoperative treatment. Though it is uncommon, PPB should be considered in the differential diagnosis of cystic lung lesions. [ABSTRACT FROM AUTHOR]

Cascade reactions are described as efficient and versatile tools, and organized catalytic cascades can significantly improve the efficiency of chemical interworking between nanozymes. They have attracted great interest in many fields such as chromogenic detection, biosensing, tumor diagnosis, and therapy. However, how to selectively kill tumor cells by enzymatic reactions without harming normal cells, as well as exploring two or more enzyme‐engineered nanoreactors for cascading catalytic reactions, remain great challenges in the field of targeted and specific cancer diagnostics and therapy. The latest research advances in nanozyme‐catalyzed cascade processes for cancer diagnosis and therapy are described in this article. Here, various sensing strategies are summarized, for tumor‐specific diagnostics. Targeting mechanisms for tumor treatment using cascade nanozymes are classified and analyzed, "elements" and "dimensions" of cascade nanozymes, types, designs of structure, and assembly modes of highly active and specific cascade nanozymes, as well as a variety of new strategies of tumor targeting based on the cascade reaction of nanozymes. Finally, the integrated application of the cascade nanozymes systems in tumor‐targeted and specific diagnostic therapy is summarized, which will lay the foundation for the design of more rational, efficient, and specific tumor diagnostic and therapeutic modalities in the future. [ABSTRACT FROM AUTHOR]

Surface‐assisted laser desorption/ionization (SALDI) mass spectrometry imaging (MSI) holds great value in spatial metabolomics and tumor diagnosis. Tissue imprinting on the SALDI target can avoid laser‐induced tissue ablation and simplifies the sample preparation. However, the tissue imprinting process always causes lateral diffusion of biomolecules, thereby losing the fidelity of metabolite distribution on tissue. Herein, a membrane‐mediated imprinting mass spectrometry imaging (MMI‐MSI) strategy is proposed using isoporous nuclepore track‐etched membrane as a mediating imprinting layer to selectively transport metabolites through uniform and vertical pores onto silicon nanowires (SiNWs) array. Compared with conventional direct imprinting technique, MMI‐MSI can not only exclude the adsorption of large biomolecules but also avoid the lateral diffusion of metabolites. The whole time for MMI‐based sample preparation can be reduced to 2 min, and the lipid peak number can increase from 46 to 113 in kidney tissue detection. Meanwhile, higher resolution of MSI can be achieved due to the confinement effect of the pore channel in the diffusion of metabolites. Based on MMI‐MSI, the tumor margins of liver cancer can be clearly discriminated and their different subtypes can be precisely classified. This work demonstrates MMI‐MSI is a rapid, highly sensitive, robust and high‐resolution technique for spatially‐resolved metabolomics and pathological diagnosis. [ABSTRACT FROM AUTHOR]

The radiobiology of tumor reirradiation is poorly understood. It pertains to tumors and their sensitivity at the time of relapse, encompassing primary tumors, metastases, or secondary cancers developed in or proximal to previously irradiated tissues. The ability to control the pathology depends, in part, on understanding this sensitivity. To date, literature data remains limited regarding changes in the radiosensitivity of tissues after initial irradiation, and most proposals are based on conjecture. The response of healthy tissues at the site of irradiation raises concerns about radio-induced complications. Cumulative dose is likely a major factor in this risk, thus using equivalent dose calculations might help reduce the risk of complications. However, the correlation between mathematical equivalence formulas and clinical effects of radiobiological origin is weak, and the lack of knowledge of the alpha/beta (α/β) ratio of healthy tissues remains an obstacle to the extensive use of these formulas. However, tissues exposed to recovery dose may have a tolerance to irradiation much higher than assumed, thus further biological work remains to be developed. Also, the functionality of previously irradiated tissues could be useful in selecting the most suitable irradiation beams. Finally, research on the genomics of irradiated healthy tissues could improve the prediction of side effects and personalize radiotherapy. [ABSTRACT FROM AUTHOR]

Simple Summary: This research focuses on improving cancer diagnosis and prognosis by addressing a common problem in data analysis known as class imbalance, where some patient groups are underrepresented. The authors aim to evaluate different resampling methods that can balance the data and enhance the performance of various classification algorithms used to predict cancer outcomes. By testing a wide range of techniques across multiple cancer datasets, this study identifies the best-performing classifier, Random Forest, along with the most effective resampling method, SMOTEENN. These findings provide valuable insights for researchers and healthcare professionals, enabling them to make more accurate predictions and ultimately improve patient care. This research could pave the way for the development of more reliable machine learning applications in the medical field. Background/Objectives: This study aims to evaluate the performance of various classification algorithms and resampling methods across multiple diagnostic and prognostic cancer datasets, addressing the challenges of class imbalance. Methods: A total of five datasets were analyzed, including three diagnostic datasets (Wisconsin Breast Cancer Database, Cancer Prediction Dataset, Lung Cancer Detection Dataset) and two prognostic datasets (Seer Breast Cancer Dataset, Differentiated Thyroid Cancer Recurrence Dataset). Nineteen resampling methods from three categories were employed, and ten classifiers from four distinct categories were utilized for comparison. Results: The results demonstrated that hybrid sampling methods, particularly SMOTEENN, achieved the highest mean performance at 98.19%, followed by IHT (97.20%) and RENN (96.48%). In terms of classifiers, Random Forest showed the best performance with a mean value of 94.69%, with Balanced Random Forest and XGBoost following closely. The baseline method (no resampling) yielded a significantly lower performance of 91.33%, highlighting the effectiveness of resampling techniques in improving model outcomes. Conclusions: This research underscores the importance of resampling methods in enhancing classification performance on imbalanced datasets, providing valuable insights for researchers and healthcare professionals. The findings serve as a foundation for future studies aimed at integrating machine learning techniques in cancer diagnosis and prognosis, with recommendations for further research on hybrid models and clinical applications. [ABSTRACT FROM AUTHOR]

Simple Summary: Limited knowledge exists on the effects of the COVID-19 pandemic and the pandemic lockdown on cancer detection and diagnoses in Switzerland. Population-based Swiss cantonal cancer registry data of the cantons of Zurich and Zug from 2018/19 to 2021 were used. Differences in cancer diagnoses were analyzed descriptively and using multivariate regression models. A decrease in all-cancer incidence was observed in 2020 compared to 2018/19, mainly during the lockdown phase in April. Meanwhile, higher all-cancer incidence rates were observed in 2021 compared to 2018/19. The impact in Switzerland was less severe than in other countries. Our findings may inform the decisions of policymakers and the public health system during future pandemics. Background/Objectives: This study aims to investigate differences in cancer diagnosis based on absolute case numbers and age-standardized incidence rate ratios (IRRs) in the pre-Coronavirus disease 2019 (COVID-19) years (2018/19) and the first two years of the COVID-19 pandemic (2020, 2021) in two Swiss cantons. Methods: Data of the Swiss cantonal cancer registry of the cantons of Zurich (ZH) and Zug (ZG) were used to descriptively investigate differences in annual and monthly absolute numbers regarding all-cancer and the five most common cancer types. Directly age-standardized monthly incidence rates (IRs) were calculated. Multivariate Quasipoisson regression models were fitted to determine the IRRs with 95% confidence intervals (95% CI). Results: Annual absolute numbers of all investigated cancers were similar in 2018/19, 2020, and 2021, except for prostate cancer (increase of 20.8% in 2021 compared to 2018/19). In 2020, there were generally more cancer diagnoses in January and February followed by a decrease in April and May. Compared to the pre-COVID-19 period, lower IRs were observed in 2020 for all-cancer (IRR = 0.96 [95% CI 0.96, 0.97]) and female breast cancer (0.92 [0.89, 0.96]), whereas higher IRs were observed in 2021 for all-cancer (1.02 [1.02, 1.02]) and prostate cancer (1.23 [1.18, 1.28]). Conclusions: Cancer detection and diagnoses decreased during the first year of the pandemic, especially during the most stringent lockdown phase in April. The findings of this study may inform the decisions of policymakers and public health system during future pandemics. [ABSTRACT FROM AUTHOR]

Simple Summary: Carbon dots (CDs) are carbon-based nanomaterials with versatile applications, including fluorescence imaging, drug and gene transport, drug delivery, medical diagnosis, and biosensing. In this study, we successfully synthesized various CDs without significantly impacting the cell viability of cancer cells, which suggests the potential for future bioimaging and drug delivery applications. These findings contribute to advancing the potential of CDs in various biomedical research contexts. Backgroung: The rising complexity and associated side effects of cancer treatments highlight the need for safer and more effective therapeutic agents. Carbon-based nanomaterials such as CDs have been gaining prominence for their unique characteristics, opening avenues for diverse applications such as fluorescence imaging, drug and gene transport, controlled drug delivery, medical diagnosis, and biosensing. Despite promising advancements in research, it remains imperative to scrutinize the properties and potential cytotoxicity of newly developed CDs, ensuring their viability for these applications. Methods: We synthesized four N-doped CDs through a hydrothermal method. Cell viability assays were conducted on A549 and UM-UC-5 cancer cells at a range of concentrations and incubation times, both individually and with the chemotherapeutic agent 5-fluorouracil (5-FU). Results: The obtained results suggest that the newly developed CDs exhibit suitability for applications such as bioimaging, as no significant impact on cell viability was observed for CDs alone. [ABSTRACT FROM AUTHOR]

This cross-sectional study described prevalent body image (BI) concerns among adolescents and young adults (AYAs) with neoplasms who received treatment at a quaternary care children's hospital. Thirty-two AYAs, aged 15–39 years, completed questionnaires assessing BI within six months of diagnosis. The most frequently endorsed questionnaire items included the following: desire for increased physical fitness (62.5%), self-consciousness about hair (45.2%), weight dissatisfaction (40.6%), lack of strength (37.5%), wearing loose clothing to hide one's body (37.5%), decreased agility (34.4%), shape dissatisfaction (32.2%), and self-perception of too much body fat (31.3%). Awareness of AYA BI concerns during treatment may generate early intervention targeting this complex issue. [ABSTRACT FROM AUTHOR]

Objectives: To transform the standardized descriptions of the ultrasound characteristics of endometrial and intrauterine lesions devised by the International Endometrial Tumor Analysis (IETA) group into a practical scoring method and to investigate whether application of this method enhances the diagnostic accuracy of ultrasound radiologists with different levels of experience in detecting malignancy compared with subjective assessment. Methods: This was a retrospective study of 855 patients with endometrial and/or intrauterine lesions, who were divided into a training (n = 600) and a validation (n = 255) set. Ultrasound radiologists with varying levels of experience (expert, intermediate and junior) evaluated all lesions by subjective assessment and according to IETA rules. Using IETA rules, the experts identified signs of malignancy in the training set, assigned scores for each indicator and validated the scoring method in the validation set. The intermediate‐level and junior ultrasound radiologists reassessed the malignancy of the lesions using the IETA scoring method and compared their classifications with those made previously by subjective assessment. Postsurgical pathological evaluation was used as the reference standard. Results: Using subjective assessment, the experts demonstrated the highest level of diagnostic accuracy, with a sensitivity of 85.0%, specificity of 94.3% and an area under the receiver‐operating‐characteristics curve (AUC) of 0.897. Applying the IETA scoring method (comprising eight ultrasound characteristics that contributed to the total score) with a threshold of > 25 points for the diagnosis of malignancy achieved a sensitivity of 84.7%, specificity of 94.7% and AUC of 0.9533 in the training set, with similar performance in the validation set, when performed by experts. Using the IETA scoring method, both junior and intermediate ultrasound radiologists showed improvement in sensitivity (from 55.5% to 74.8% and from 70.2% to 77.1%, respectively), specificity (from 88.4% to 91.5% and from 87.4% to 92.2%, respectively) and AUC (from 0.704 to 0.827 and from 0.793 to 0.841, respectively) for diagnosing malignant lesions. Conclusions: The IETA scoring method exhibits high diagnostic efficacy for malignant endometrial and intrauterine lesions. This method compensates for the lack of experience among junior and intermediate‐level ultrasound radiologists, enhancing their diagnostic skill to a level nearing that of experienced senior ultrasound radiologists. Further research is essential to validate the practicality of implementing this method and to confirm its clinical value. © 2024 International Society of Ultrasound in Obstetrics and Gynecology. [ABSTRACT FROM AUTHOR]

Introduction: Perivascular epithelioid cell tumors are uncommon mesenchymal tumors. The genital tract is the most common extrarenal location. Preoperative diagnosis is rarely achieved owing to non-specific symptoms and imaging features. Consensus on treatment strategies remains elusive. Case presentation We report the case a 38 year-old north African woman with a primary sterility, who was diagnosed with a uterine Perivascular epithelioid cell tumor of uncertain malignant potential on a resection specimen of an intracavity polypoid mass. Immunohistochemistry confirmed the diagnosis and we opted for conservative surgery to preserve the patient's fertility desires. Conclusion: Uterine perivascular epithelioid cell tumor is a rare entity that warrants consideration in the differential diagnosis of uterine tumors. Treatment modalities, follow-up protocols, and prognosis remain ambiguous. Given their unpredictable behavior, accurate diagnosis and long-term monitoring are imperative. [ABSTRACT FROM AUTHOR]

Background: An artificial intelligence-based algorithm we developed, mrAI, satisfactorily segmented the rectal tumor, rectum, and mesorectum from MRI data of rectal cancer patients in an initial study. Herein, we aimed to validate mrAI using an independent dataset. Methods: We utilized MRI images collected in another nationwide research project, "Open versus Laparoscopic Surgery for Advanced Low Rectal Cancer Patients". MRIs from 467 cases with upfront surgery were utilized; six radiologists centralized the MRI evaluations. The diagnostic accuracies of mrAI and the radiologists for tumor depth were compared using pathologic diagnosis as a reference. Results: For all cases, centralized diagnosis demonstrated 84.2% sensitivity, 37.7% specificity, and 73.7% accuracy; mrAI exhibited 70.6% sensitivity, 61.3% specificity, and 68.5% accuracy. After limiting MRIs to those acquired by a Philips scanner, with an inter-slice spacing of ≤ 6 mm—both conditions similar to those used in the development of mrAI—the performance of mrAI improved to 76.8% sensitivity, 76.7% specificity, and 76.7% accuracy, while the centralized diagnosis showed 81.8% sensitivity, 36.7% specificity, and 71.3% accuracy. Regarding relapse-free survival, the prognosis for tumors staged ≥ T3 was significantly worse than for tumors staged ≤ T2 (P = 0.0484) in the pathologic diagnosis. While no significant difference was observed between ≥ T3 and ≤ T2 tumors in the centralized diagnosis (P = 0.1510), the prognosis for ≥ T3 was significantly worse in the mrAI diagnosis (P = 0.0318). Conclusion: Proper imaging conditions for MRI can enhance the accuracy of mrAI, which has the potential to provide feedback to radiologists without overestimating tumor stage. [ABSTRACT FROM AUTHOR]

Access to health services has received increasing attention, and the International Agency for Research on Cancer (IARC) includes 'availability' as one of the indicators to evaluate cancer screening. Evaluating, monitoring, and decision-making on cancer screening depends on systematic quantitative evidence on access to cancer screening, but indicators are currently inconsistently, if they are reported at all. This can be improved by developing systematic indicators for evaluating and reporting access to cancer screening. This requires a thorough understanding of current indicators of access to cancer screening. Scoping review. We completed a scoping review of studies on access to cancer screening services from 2013 to 2022. The relevant indicators were extracted, quantified, and then matched to two widely used frameworks: a universal five-dimensional conceptual framework for access to healthcare ('U5D') and a cancer-specific framework/list on the availability/use of screening indicators endorsed by the IARC. A total of 331 studies on access to cancer screening services were included. Based on the U5D framework, publications from supply side reported approachability (number of publications = 16), acceptability (6), availability and accommodation (44), affordability (30), and appropriateness (11); among this process, 17 sub-indicators were identified. Correspondingly, publications from demand side reported ability to perceive (170), ability to seek (85), ability to reach (58), ability to pay (59), and ability to engage (2); 26 sub-indicators were identified. More macroscopically, the publications of the IARC-endorsed indicators reported availability of policies and guidelines for screening (13), type of screening provided (3), extent of population coverage and participation rates (76), and demographic/behavioural related considerations (167). By integrating the universal and cancer-specific frameworks, a new adapted framework was proposed. This study identified and collated indicators for evaluating access to cancer screening services, and determined the gaps in the current application of various indicators. The findings are anticipated to facilitate further development of an evaluation indicator system for access to cancer screening services. [Display omitted] [ABSTRACT FROM AUTHOR]

Purpose: Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography (18F-FDG PET) represents a valuable functional molecular imaging technique. Through non-invasive means, 18F-FDG PET allows for the assessment of glucose metabolic activity in living biological systems. Its utility in oncology is well established, with applications in tumor diagnosis, staging, and treatment monitoring. The purpose of this study is to conduct a literature review assessing the indicative value and effect on the clinical management of 18F-FDG PET/CT for various cancer types based on the current literature. Materials and Methods: An inclusive search of the PubMed, Google Scholar, and Science Direct databases was performed to identify relevant studies published from 2022 to the present. Records were screened according to predefined inclusion and exclusion criteria. A full-text review of the eligible studies was independently conducted by two reviewers. Results: Twenty-one primary research articles met the inclusion criteria and encompassed several cancer types. Evidence demonstrates superior detection, characterization, and staging compared with anatomical imaging alone. Advantages have been substantiated for head/neck, lung, and brain cancers, as well as lymphomas. The significant associations between 18F-FDG uptake and clinical features validated the molecular profiling capacity. Conclusion: 18F-FDG PET provides crucial metabolic tumor information, augmenting conventional approaches. Specific diagnostic values have been established for diverse oncological applications. While technical refinements are ongoing, 18F-FDG PET plays an expanding role in multimodal cancer algorithms according to guidelines. Continued investigation aims to further optimize these techniques and clarify their comparative effectiveness. [ABSTRACT FROM AUTHOR]

PURPOSE: To establish thresholds in the Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference, physical function, fatigue, and depression scores on the basis of their association with subsequent use of the emergency department (ED) or urgent care by people diagnosed with cancer. METHODS: Retrospective data from 952 people seen at Henry Ford Cancer and insured through the Health Alliance Plan were analyzed using generalized linear mixed-effects models. The log odds of ED or urgent care use during 14 or 30 days after each patient-reported outcome (PRO) assessment were related to PRO scores, while adjusting for comorbidity, sociodemographic, and tumor characteristics. RESULTS: Pain interference and physical function were associated with subsequent ED or urgent care visits, but fatigue and depression were not, and the results for 14- and 30-day visits were similar. Thresholds anchored in the likelihood of these visits differed according to cancer stage. For people with advanced cancer, a pain interference score of 60 or higher (odds ratio [OR] 3.75, [95% CI, 1.53 to 7.87]) and a physical function score lower than 40 (OR 2.94, [95% CI, 1.22 to 7.06]) produced the largest ORs with narrowest CIs for 30-day visits. For people with nonadvanced cancer, the thresholds of 65 for pain interference (OR 2.64, [95% CI, 1.40 to 5.01]) and 35 for physical function (OR 1.87, [95% CI, 1.01 to 3.45]) produced largest ORs with narrowest CIs for 30-day visits. CONCLUSION: These anchor-based thresholds in PROMIS scores can inform clinicians' actions with the goal of preventing ED or urgent care visits. PROMIS pain interference and physical function were related to emergency room or urgent care use. [ABSTRACT FROM AUTHOR]

Purpose: Surveillance, Epidemiology, and End Results (SEER) cancer registries provides information about survival duration and cause of death for cancer patients. Baseline demographic and tumor characteristics such as age, sex, race, year of diagnosis, and tumor stage can inform the expected survival time of patients, but their associations with survival may not be constant over the post-diagnosis period. Methods: Using SEER data, we examined if there were time-varying associations of patient and tumor characteristics on survival, and we assessed how these relationships differed across 14 cancer sites. Standard Cox proportional hazards models were extended to allow for time-varying associations and incorporated into a competing-risks framework, separately modeling cancer-specific and other-cause deaths. For each cancer site and for each of the five factors, we estimated the relative hazard ratio and absolute hazard over time in the presence of competing risks. Results: Our comprehensive consideration of patient and tumor characteristics when estimating time-varying hazards showed that the associations of age, tumor stage at diagnosis, and race/ethnicity with risk of death (cancer-specific and other-cause) change over time for many cancers; characteristics of sex and year of diagnosis exhibit some time-varying patterns as well. Stage at diagnosis had the largest associations with survival. Conclusion: These findings suggest that proportional hazards assumptions are often violated when examining patient characteristics on cancer survival post-diagnosis. We discuss several interesting results where the relative hazards are time-varying and suggest possible interpretations. Based on the time-varying associations of several important covariates on survival after cancer diagnosis using a pan-cancer approach, the likelihood of the proportional hazards assumption being met or corresponding interpretation should be considered in survival analyses, as flawed inference may have implications for cancer care and policy. [ABSTRACT FROM AUTHOR]

In the quest for early cancer diagnosis, early identification and treatment are paramount. Recently, ctDNA detection has emerged as a viable avenue for early screening of cancer. The examination of ctDNA in fluid biopsies has gained substantial attention in tumor diagnosis and therapy. Both the scientific community and industry are actively exploring this field. However, developing cost-effective, portable, and real-time ctDNA measurement methods using conventional gene detection equipment poses a significant challenge. This challenge has led to the exploration of alternative approaches. Electrochemical biosensors, distinguished by their heightened sensitivity, remarkable specificity, affordability, and excellent portability, have emerged as a promising avenue for ctDNA detection. This review is dedicated to the specific focus on ctDNA detection, highlighting recent advancements in this evolving detection technology. We aimed to reference previous studies related to ctDNA-targeted cancer detection using electrochemical biosensors to advocate the utilization of electrochemical biosensors in healthcare diagnostics. Further research is imperative for the effective integration of ctDNA analysis into point-of-care cancer testing. Innovative approaches utilizing multiple markers need to be explored to advance this technology and make substantial contributions to societal well-being. [ABSTRACT FROM AUTHOR]

Serous borderline tumors of the ovary fall in between the benign and malignant category. These tumors are often diagnosed early, and the prognosis is usually favorable. However, there are variations in the histopathological findings of borderline ovarian tumors. Xanthomatous change is one such rare change in which deposition of lipid-rich material is seen morphologically as xanthoma cells within tumor tissue and reports of this are sparse. There is postulated literature on xanthomatous change being a contributing factor for progression of cancer. We present a case of a 75-year-old postmenopausal female with complaint of pain abdomen since 3 days, diagnosed radiologically as right ovarian mucinous cystadenoma/cystadenocarcinoma. Histopathology revealed a serous borderline tumor with extensive xanthomatous change. This case presents important thoughts on exploring the connection of xanthomatous change with borderline ovarian tumors, which till date is a matter of debate. [ABSTRACT FROM AUTHOR]

Patients with tumor thrombosis in the portal vein due to hepatocellular carcinoma (HCC) are uncommon, and the majority of these cases is thought to be in an advanced stage with a bad prognosis. The right atrium and the inferior vena cava may be impacted by the intravascular tumor thrombus, with the latter having a bad prognosis. Portal vein involvement is one of the most serious consequences of HCC. For both systemic and locoregional therapy, targeting many pathways in the HCC cascade using a mix of medications and additional modalities like transarterial chemoembolization, transarterial radioembolization, radiation, and hepatic arterial infusion chemotherapy appears to be helpful. Portal vein tumor thrombosis, which affects 35 to 50% of patients, is a strong predictor of poor prognosis due to the higher likelihood of tumor migration into the bloodstream and the subsequent increased risk of recurrence. This case report highlights about a 60-year-old female who presented with HCC with portal vein tumor thrombosis not willing for chemo- and radiotherapy successfully treated with transarterial chemoembolization as a palliative management. [ABSTRACT FROM AUTHOR]

Context: The MEIS proteins, originally described as the "helper groups" of HOX proteins, are now becoming recognized as significant and incredibly diverse controllers of cellular behavior. The MEIS agents can incorporate a variety of epigenetic modulators into chromatin to aid in embryonic growth or tissue homeostasis by adult stem cells. The MEIS gene's expression, binding, stability, post-translational protein modification, and controlled intracellular availability are all fully regulated, and they all react to external stimuli. Objectives: We explored the diverse roles of MEIS proteins in cellular behavior and epigenetic regulation and investigated the potential of MEIS proteins as diagnostic and therapeutic biomarkers in cancers. Results: The MEIS proteins can be diagnostic and therapeutic biomarkers for cancer. The MEIS-PBX heterotrimeric is involved in neurogenesis processes, and the formation of the MEIS2 heterodimer with PAX6 and DLX2 can proliferate periplomerular dopaminergic neurons in the olfactory bulb. The estrogen receptor in breast cancer upregulates MEIS1 and FOXP3. The estrogen receptor pathway's cancer-related genes can express themselves more strongly when MEIS1-FOXP3 interacts with a positive feedback mechanism. Because MEIS1 expression is decreased in clear renal cell carcinoma (ccRCC) cell lines, MEIS1 may function as a tumor suppressor in the development of ccRCC. Conclusions: MEIS1 is recognized as one of the main contributors to the development of leukemias. The MEIS proteins influence the c-MYC signaling pathway, cell proliferation, and invasion of PC by contributing to its development. [ABSTRACT FROM AUTHOR]

It remains unclear if pre‐diagnostic factors influence the developmental pathways of colorectal cancer (CRC) that could enhance tumor aggressiveness. This study used prospective data from 205,489 cancer‐free US health professionals to investigate the associations of 31 known or putative risk factors with the risk of aggressive CRC. Tumor aggressiveness was characterized by three endpoints: aggressive CRC (cancer that causes death within 5 years of diagnosis), fatal CRC, and tumor stage at diagnosis. The data augmentation method was used to assess the difference in the associations between risk factors and endpoints. We documented 3201 CRC cases, of which 899 were aggressive. The protective associations of undergoing lower endoscopy (hazard ratios [HR] 0.43, 95% confidence interval (CI) 0.37, 0.49 for aggressive versus HR 0.61, 95% CI 0.56, 0.67 for non‐aggressive) and regular use of aspirin (HR 0.70, 95% CI 0.61, 0.81 versus HR 0.84, 95% CI 0.77, 0.92) were stronger for aggressive than non‐aggressive CRC (pHeterogeneity <0.05). Lower intake of whole grains or cereal fiber and greater dietary inflammatory potential were associated with a higher risk of aggressive but not non‐aggressive CRC. The remaining risk factors showed comparable associations with aggressive CRC and non‐aggressive CRC. Aggressive cases were more likely to have KRAS‐mutated tumors but less likely to have distal or MSI‐high tumors (p <.007). Similar results were observed for fatal CRC and advanced tumor stages at diagnosis. These findings provide initial evidence for the role of pre‐diagnostic risk factors in the pathogenesis of aggressive CRC and suggest research priorities for preventive interventions. [ABSTRACT FROM AUTHOR]

CT and MRI scans of the shoulder can lead to the identification of incidental findings (IF), which can have a major impact on the further treatment of the patient. The aim of this retrospective study was to record the prevalence of IF, incidentalomas (IT) and malignant IT for CT and MRI examinations of the shoulder and to investigate the effect of patient characteristics on the statistical occurrence of IF, IT and malignant IT. A total of 903 shoulder examinations (415 CT, 488 MRI) were retrospectively analyzed for the presence of IF, subsequently categorized (harmless IF, IT requiring clarification, malignant IT) and analyzed regarding patient characteristics. The statistical analysis was carried out using independent t- and chi-square tests. A significance level of p < 0.05 was set. Among the 903 patients evaluated (436 female, 467 male), 153 (16.9%) patients experienced IF (harmless IF: 101 (11.2%) patients, IT: 94 (10.4%), malignant IT: 4 (0.4%). The average age of the patients without IF and IT was significantly lower compared to the patients with IF and IT (p < 0.001). While IF occurred in 31.1% of the CT, IF was only detected in 4.9% of the MRI (p < 0.001). IF have a high prevalence (16.9%), especially in CT examinations of the shoulder, which increases with age. The exact detection and initiation of appropriate therapy is of great clinical importance, as early detection of life-threatening diseases enables more effective treatment and a potential gain in health and lifespan. [ABSTRACT FROM AUTHOR]

Background Purpose Methods Results Conclusion Radiomics refers to the extraction of quantitative information from medical images and is most commonly utilized in oncology to provide ancillary information for solid tumor diagnosis, prognosis, and treatment response. The traditional radiomic pipeline involves segmentation of volumes of interest with comparison to normal brain. In other neurologic disorders, such as epilepsy, lesion delineation may be difficult or impossible due to poor anatomic definition, small size, and multifocal or diffuse distribution. Tuberous sclerosis complex (TSC) is a rare genetic disease in which brain magnetic resonance imaging (MRI) demonstrates multifocal abnormalities with variable imaging and epileptogenic features.The purpose of this study was to develop a radiomic workflow for identification of abnormal brain regions in TSC, using a whole‐brain atlas‐based approach with generation of heatmaps based on signal deviation from normal controls.This was a retrospective pilot study utilizing high‐resolution whole‐brain 3D FLAIR MRI datasets from retrospective enrollment of tuberous sclerosis complex (TSC) patients and normal controls. Subjects underwent MRI including high‐resolution 3D FLAIR sequences. Preprocessing included skull stripping, coregistration, and intensity normalization. Using the Brainnetome and Harvard‐Oxford atlases, brain regions were parcellated into 318 discrete regions. Expert neuroradiologists spatially labeled all tubers in TSC patients using ITK‐SNAP. The pyradiomics toolbox was used to extract 88 radiomic features based on IBSI guidelines, comparing tuber‐affected and non‐tuber‐affected parenchyma in TSC patients, as well as normal brain tissue in control patients. For model training and validation, regions with tubers from 20 TSC patients and 30 normal control subjects were randomly divided into two training sets (80%) and two validation sets (20%). Additional model testing was performed on a separate group of 20 healthy controls. LASSO (least absolute shrinkage and selection operator) was used to perform variable selection and regularization to identify regions containing tubers. Relevant radiomic features selected by LASSO were combined to produce a radiomic score ω, defined as the sum of squared differences from average control group values. Region‐specific ω scores were converted to heat maps and spatially coregistered with brain MRI to reflect overall radiomic deviation from normal.The proposed radiomic workflow allows for quantification of deviation from normal in 318 regions of the brain with the use of a summative radiomic score ω. This score can be used to generate spatially registered heatmaps to identify brain regions with radiomic abnormalities. The pilot study of TSC showed radiomic scores ω that were statistically different in regions containing tubers from regions without tubers/normal brain (p < 0.0001). Our model exhibits an AUC of 0.81 (95% confidence interval: 0.78–0.84) on the testing set, and the best threshold obtained on the training set, when applied to the testing set, allows us to identify regions with tubers with a specificity of 0.91 and a sensitivity of 0.60.We describe a whole‐brain atlas‐based radiomic approach to identify abnormal brain regions in TSC patients. This approach may be helpful for identifying specific regions of interest based on relatively greater signal deviation, particularly in clinical scenarios with numerous or poorly defined anatomic lesions. [ABSTRACT FROM AUTHOR]

Glomus tumor (GT) is a neoplastic lesion of mesenchymal origin arising from the neuromyoarterial canal or glomus body. Although most GT occur in the peripheral soft tissue and extremities, these tumors can grow anywhere in the body. Here, we describe an uncommon case of GT involving the prostate. [ABSTRACT FROM AUTHOR]

Background: Parasitic leiomyoma (PL) consists of uterine fibroids separate from the uterus that grow in extrauterine tissues such as the peritoneum and mesenterium. The diagnosis of PL requires a thorough medical history of laparoscopic myomectomies using a morcellator and the identification of typical magnetic resonance imaging (MRI) findings as uterine fibroids. Imaging diagnosis of PL is occasionally difficult when PL degenerates in various ways, owing to atypical findings on computed tomography (CT) and MRI. Case presentation: A 29-year-old woman with a history of laparoscopic myomectomy visited a local hospital with lower abdominal pain. A mesenteric tumor on the sigmoid mesentery was suspected on MRI, and she was referred to our hospital. CT scan showed strong early contrast uptake in the center of the tumor, and MRI T2-weighted images showed high signals at the tumor margins and low signals in the center, suggesting a schwannoma. PL was also part of the differential diagnosis because of the patient's history of laparoscopic myomectomy. With a preoperative diagnosis of a sigmoid colon mesenteric tumor undeniably of malignant origin, laparoscopic resection of the sigmoid mesenteric tumor was performed. Histopathological examination revealed it to be a PL. Conclusions: We report a case of PL of the sigmoid mesentery with schwannoma-like findings on imaging that was treated laparoscopically. PL is sometimes difficult to distinguish from schwannomas because of the variety of imaging findings, such as uterine fibroids. PL should be considered in the differential diagnosis of mesenteric tumors following laparoscopic myomectomies, even if it does not show typical imaging findings, such as uterine fibroids. [ABSTRACT FROM AUTHOR]

Neuroendocrine neoplasms of the thymus (tNENs), including typical carcinoid, atypical carcinoid, large cell neuroendocrine carcinoma, and small cell carcinoma, are rare tumors with scarce clinical and pathological data available in the literature. They share many common features with neuroendocrine neoplasms in other organs, such as those in the lungs, while demonstrating some distinct clinical and pathological features. This review aims to give an updated overview of each category of tNENs, focusing primarily on the pathologic diagnosis and differential diagnosis of these tumors. [ABSTRACT FROM AUTHOR]

Magnetic resonance (MR) images are commonly used for quantitative analysis and diagnosis of various diseases. An optimized wavelet-based textural feature model for the classification of brain MRI images for two different image modalities has been proposed in this work. Image-based features are extracted from MR images with the help of the proposed feature model. Feature dimensionality is reduced with Principal Component Analysis (PCA). Selected features are used to train various classifiers and validation is done with the 10-fold cross method. The experimental results achieved show that the optimized Artificial Neural Network (ANN) with PCA for T2w modality has the best performance for tumor diagnosis in MR Images with a maximum of 98.78% accuracy, and K-nearest neighbor (KNN) is fastest with a training time of 0.8372 sec. [ABSTRACT FROM AUTHOR]

This study aimed to explore oncological doctor-patients experiences concerning the neoplastic disease. The study involved 20 Polish doctors with cancer. Respondents answered open questions related to cancer management and opinions about themselves as oncological patients. The results of the study indicate that doctor-patients deny their susceptibility to illness, which leads to prophylaxis ignorance. Many doctors diagnosed themselves with the disease, but they needed a clear verbal confirmation of the diagnosis by another physician. Respondents well assessed professional skills of doctor-colleagues. However, communication competencies of their doctors were assessed critically. Medical narratives may become an incentive to deepen the discourse on the quality of the relationship between a doctor and a doctor-oncological patient. They may also lead to further research on the anthropological, psychological, and sociological understanding of disease. [ABSTRACT FROM AUTHOR]

Significance: Deep learning enables label-free all-optical biopsies and automated tissue classification. Endoscopic systems provide intraoperative diagnostics to deep tissue and speed up treatment without harmful tissue removal. However, conventional multi-core fiber (MCF) endoscopes suffer from low resolution and artifacts, which hinder tumor diagnostics. Aim: We introduce a method to enable unpixelated, high-resolution tumor imaging through a given MCF with a diameter of around 0.65 mm and arbitrary core arrangement and inhomogeneous transmissivity. Approach: Image reconstruction is based on deep learning and the digital twin concept of the single-reference-based simulation with inhomogeneous optical properties of MCF and transfer learning on a small experimental dataset of biological tissue. The reference provided physical information about the MCF during the training processes. Results: For the simulated data, hallucination caused by the MCF inhomogeneity was eliminated, and the averaged peak signal-to-noise ratio and structural similarity were increased from 11.2 dB and 0.20 to 23.4 dB and 0.74, respectively. By transfer learning, the metrics of independent test images experimentally acquired on glioblastoma tissue ex vivo can reach up to 31.6 dB and 0.97 with 14 fps computing speed. Conclusions: With the proposed approach, a single reference image was required in the pre-training stage and laborious acquisition of training data was bypassed. Validation on glioblastoma cryosections with transfer learning on only 50 image pairs showed the capability for high-resolution deep tissue retrieval and high clinical feasibility. [ABSTRACT FROM AUTHOR]

Despite the effectiveness of cancer screening (CS) in providing timely diagnoses and early treatments, the participation of citizens remains very low in particular in Southern Italy. This study aims to investigate the meanings that intervene in the relationship between the individual and their active participation in CSs within public healthcare. A total of 101 ad hoc semi‐structured interviews were collected with CS users in public service of Campania Region, Italy. The interviews were analyzed through a qualitative–quantitative methodology by T‐Lab software. A cluster analysis and multiple matching analysis were conducted. Findings show five clusters: prevention as a sensory and emotional burden; prevention as a strategy to manage the hereditary risk of death; individual's internal demand for health; the times and places of prevention; and the concreteness of doing prevention; and two factors: from the risk of disease diagnosis to preventive measures and from external healthcare settings to internal self‐care settings. Findings shed light on how to construct better well‐being promotion strategies and foster a subjective health and prevention demand accounting for the continuous experiences of those participating in CSs to encourage greater citizen engagement. [ABSTRACT FROM AUTHOR]

Background/Aims: During endoscopy, white spots (WS) are sometimes observed around benign or malignant colorectal tumors; however, few reports have investigated WS, and their significance remains unknown. Therefore, we investigated the significance of WS from clinical and pathological viewpoints and evaluated its usefulness in endoscopic diagnosis. Methods: Clinical data of patients with lesions diagnosed as epithelial tumors from January 1, 2019, to December 31, 2020, were analyzed (n=3,869). We also performed a clinicopathological analysis of adenomas or carcinomas treated with endoscopic resection (n=759). Subsequently, detailed pathological observations of the WS were performed. Results: The positivity rates for WS were 9.3% (3,869 lesions including advanced cancer and non-adenoma/carcinoma) and 25% (759 lesions limited to adenoma and early carcinoma). Analysis of 759 lesions showed that the WS-positive lesion group had a higher proportion of cancer cases and larger tumor diameters than the WS-negative group. Multiple logistic analysis revealed the following three statistically significant risk factors for carcinogenesis: positive WS, flat lesions, and tumor diameter =5 mm. Pathological analysis revealed that WS were macrophages that phagocytosed fat and mucus and were white primarily because of fat. Conclusions: WS are cancer-related findings and can become a new criterion for endoscopic resection in the future. [ABSTRACT FROM AUTHOR]

An electrochemical biosensor based on dual-amplified nucleic acid mode and biocatalytic silver deposition was constructed using catalytic hairpin assembly-hybrid chain reaction (CHA-HCR). The electrochemical detection of silver on the electrode by linear sweep voltammetry (LSV) can be utilized to quantitatively measure miR-205-5p since the amount of silver deposited on the electrode is proportional to the target nucleic acid. The current response values exhibit strong linearity with the logarithm of miR-205-5p concentrations ranging from 0.1 pM to 10 μM, and the detection limit is 28 fM. A consistent trend was found in the results of the qRT-PCR and electrochemical biosensor techniques, which were employed to determine the total RNA recovered from cells, respectively. Moreover, the constructed sensor was used to assess miR-205-5p on various cell counts, and the outcomes demonstrated the excellent analytical efficiency of the proposed strategy. The recoveries ranged from 97.85% to 115.3% with RSDs of 2.251% to 4.869% in human serum samples. Our electrochemical biosensor for miR-205-5p detection exhibits good specificity, high sensitivity, repeatability, and stability. It is a potentially useful sensing platform for tumor diagnosis and tumor type identification in clinical settings. [ABSTRACT FROM AUTHOR]

Simple Summary: The cancer journey is often characterized by significant physical and mental health challenges for people with cancer during and after treatment; LGBTQ2S+-identifying people with cancer may face additional issues surrounding their identity and discrimination in health care settings. However, there is limited research that explores the unique experiences of LGBTQ2S+ people with cancer. This study investigates the resilience of LGBTQ2S+-identifying people with cancer to understand how they experienced and coped with cancer. Most participants' cancer journeys were characterized by a 'Second Coming-Out' phenomenon, where LGBTQ2S+ people with cancer use coping strategies, similar to those used when coming out, to produce resilience throughout their cancer journey. Identifying this phenomenon is critical to providing comprehensive care for LGBTQ2S+ people with cancer that draws on their unique strengths. We propose the LGBTQ2S+ Cancer Care Model where the individual is centered and the influences of personal support, professional support, and queer representation are integrated in an accessible and clinically relevant way. People with cancer may suffer negative psychosocial outcomes due to the challenges of cancer. LGBTQ2S+ people routinely experience negative psychosocial outcomes in health care settings, but have showcased resilience in the face of discrimination; however, this has never been studied in a cancer context. Thus, this study aims to assess coping and resilience in LGBTQ2S+-identifying people diagnosed with cancer using a strengths-based approach. A qualitative exploratory design was used. Ten self-identified LGBTQ2S+ people who have completed their cancer treatment were recruited. Participants completed clinical, health, and demographic questionnaires and, subsequently, semi-structured qualitative interviews. Conceptualizations of coping and resilience in the semi-structured interviews were analyzed using interpretative phenomenological analysis (IPA). Participants were members of various gender identities and sexual orientations. In addition to identifying needed LGBTQ2S+-specific resources, four narratives emerged: support networks, regaining control in life, conflicting identities, and traditional coping methods. Most participants' cancer journeys were characterized by a 'Second Coming-Out' phenomenon, where LGBTQ2S+ people with cancer use coping strategies, similar to those used when coming out, to produce resilience throughout their cancer journey. This work provides exploratory insight into LGBTQ2S+ people with cancer, but more research is required with a larger sample. [ABSTRACT FROM AUTHOR]

Background: In recent decades, machine-learning (ML) technologies have advanced the management of high-dimensional and complex cancer data by developing reliable and user-friendly automated diagnostic tools for clinical applications. Immunohistochemistry (IHC) is an essential staining method that enables the identification of cellular origins by analyzing the expression of specific antigens within tissue samples. The aim of this study was to identify a model that could predict histopathological diagnoses based on specific immunohistochemical markers. Methods: The XGBoost learning model was applied, where the input variable (target variable) was the histopathological diagnosis and the predictors (independent variables influencing the target variable) were the immunohistochemical markers. Results: Our study demonstrated a precision rate of 85.97% within the dataset, indicating a high level of performance and suggesting that the model is generally reliable in producing accurate predictions. Conclusions: This study demonstrated the feasibility and clinical efficacy of utilizing the probabilistic decision tree algorithm to differentiate tumor diagnoses according to immunohistochemistry profiles. [ABSTRACT FROM AUTHOR]

Simple Summary: The platelet count is an established marker of cancer. In healthy populations, platelet count varies by age and sex; despite that variation, a single reference range is used. This study aimed to identify age- and sex-specific upper thresholds for platelet count at which cancer should be considered in primary care, using audits of primary care-based clinical data in England, Canada, and Australia. Across all three cohorts, there was a clear upwards trend in cancer incidence with increasing platelet count for both sexes and at all age groups. The appropriate threshold will vary by country and will depend on local healthcare needs and priorities. As colorectal and lung cancers predominate, initial investigation may target these sites. Further investigation, depending on the patient's symptoms, could be CT imaging, endoscopy, or CA125. The platelet count, a component of the full blood count, has been identified as a useful diagnostic marker for cancer in primary care. The reference range for the platelet count is 150 to 400 or 450 × 109/L; this range does not account for natural variation in platelet count by age and sex. This study used three primary care cohorts from England, Canada, and Australia. Patients aged 40 years and over with a full blood count were included and stratified by age (in 10-year bands), sex, (male/female), and platelet count group. Cancer incidence within one year of the test date was estimated from linked registry data. In all three countries, there was a clear upwards trend in cancer incidence with increasing platelet count for both sexes and at all age groups. Lung and colorectal were the most common sites. These results have important implications for the international application of this work; analysis of local health datasets will be crucial to determining appropriate thresholds. Appropriate upper thresholds will depend on local populations, healthcare needs, and priorities. Further research is needed to assess the likely impact of new recommendations on the healthcare system, on cancer outcomes, and patient benefit. [ABSTRACT FROM AUTHOR]

Tumors can be detected from a temperature gradient due to high vascularization and increased metabolic activity of cancer cells. Thermal infrared images have been recognized as potential alternatives to detect these tumors. However, even the use of artificial intelligence directly on these images has failed to accurately locate and detect the tumor size due to the low sensitivity of temperatures and position within the breast. Thus, we aimed to develop techniques based on applying the thermal impedance method and artificial intelligence to determine the origin of the heat source (abnormal cancer metabolism) and its size. The low sensitivity to tiny and deep tumors is circumvented by utilizing the concept of thermal impedance and artificial intelligence techniques such as deep learning. We describe the development of a thermal model and the creation of a database based on its solution. We also outline the choice of detectable parameters in the thermal image, the use of deep learning libraries, and network training using convolutional neural networks (CNNs). Lastly, we present tumor location and size estimates based on thermographic images obtained from simulated thermal models of a breast, using Cartesian geometry and a scanned geometric shape of an anatomical phantom model. [ABSTRACT FROM AUTHOR]

Nucleic acids, like DNA and RNA, serve as versatile recognition elements in electrochemical biosensors, demonstrating notable efficacy in detecting various cancer biomarkers with high sensitivity and selectivity. These biosensors offer advantages such as cost-effectiveness, rapid response, ease of operation, and minimal sample preparation. This review provides a comprehensive overview of recent developments in nucleic acid-based electrochemical biosensors for cancer diagnosis, comparing them with antibody-based counterparts. Specific examples targeting key cancer biomarkers, including prostate-specific antigen, microRNA-21, and carcinoembryonic antigen, are highlighted. The discussion delves into challenges and limitations, encompassing stability, reproducibility, interference, and standardization issues. The review suggests future research directions, exploring new nucleic acid recognition elements, innovative transducer materials and designs, novel signal amplification strategies, and integration with microfluidic devices or portable instruments. Evaluating these biosensors in clinical settings using actual samples from cancer patients or healthy donors is emphasized. These sensors are sensitive and specific at detecting non-communicable and communicable disease biomarkers. DNA and RNA's self-assembly, programmability, catalytic activity, and dynamic behavior enable adaptable sensing platforms. They can increase biosensor biocompatibility, stability, signal transduction, and amplification with nanomaterials. In conclusion, nucleic acids-based electrochemical biosensors hold significant potential to enhance cancer detection and treatment through early and accurate diagnosis. [ABSTRACT FROM AUTHOR]

Extracellular vesicles (EVs) are nano-sized particles secreted by most cells. They transport different types of biomolecules (nucleic acids, proteins, and lipids) characteristic of their tissue or cellular origin that can mediate long-distance intercellular communication. In the case of cancer, EVs participate in tumor progression by modifying the tumor microenvironment, favoring immune tolerance and metastasis development. Consequently, EVs have great potential in liquid biopsy for cancer diagnosis, prognosis and follow-up. In addition, EVs could have a role in cancer treatment as a targeted drug delivery system. The intense research in the EV field has resulted in hundreds of patents and the creation of biomedical companies. However, methodological issues and heterogeneity in EV composition have hampered the advancement of EV validation trials and the development of EV-based diagnostic and therapeutic products. Consequently, only a few EV biomarkers have moved from research to clinical laboratories, such as the ExoDx Prostate IntelliScore (EPI) test, a CLIA/FDA-approved EV prostate cancer diagnostic test. In addition, the number of large-scale multicenter studies that would clearly define biomarker performance is limited. In this review, we will critically describe the different types of EVs, the methods for their enrichment and characterization, and their biological role in cancer. Then, we will specially focus on the parameters to be considered for the translation of EV biology to the clinic laboratory, the advances already made in the field of EVs related to cancer diagnosis and treatment, and the issues still pending to be solved before EVs could be used as a routine tool in oncology. [ABSTRACT FROM AUTHOR]

KIF2C/MCAK (KIF2C) is the most well-characterized member of the kinesin-13 family, which is critical in the regulation of microtubule (MT) dynamics during mitosis, as well as interphase. This systematic review briefly describes the important structural elements of KIF2C, its regulation by multiple molecular mechanisms, and its broad cellular functions. Furthermore, it systematically summarizes its oncogenic potential in malignant progression and performs a meta-analysis of its prognostic value in cancer patients. KIF2C was shown to be involved in multiple crucial cellular processes including cell migration and invasion, DNA repair, senescence induction and immune modulation, which are all known to be critical during the development of malignant tumors. Indeed, an increasing number of publications indicate that KIF2C is aberrantly expressed in multiple cancer entities. Consequently, we have highlighted its involvement in at least five hallmarks of cancer, namely: genome instability, resisting cell death, activating invasion and metastasis, avoiding immune destruction and cellular senescence. This was followed by a systematic search of KIF2C/MCAK's expression in various malignant tumor entities and its correlation with clinicopathologic features. Available data were pooled into multiple weighted meta-analyses for the correlation between KIF2Chigh protein or gene expression and the overall survival in breast cancer, non-small cell lung cancer and hepatocellular carcinoma patients. Furthermore, high expression of KIF2C was correlated to disease-free survival of hepatocellular carcinoma. All meta-analyses showed poor prognosis for cancer patients with KIF2Chigh expression, associated with a decreased overall survival and reduced disease-free survival, indicating KIF2C's oncogenic potential in malignant progression and as a prognostic marker. This work delineated the promising research perspective of KIF2C with modern in vivo and in vitro technologies to further decipher the function of KIF2C in malignant tumor development and progression. This might help to establish KIF2C as a biomarker for the diagnosis or evaluation of at least three cancer entities. [ABSTRACT FROM AUTHOR]

Intraoperative pathological diagnosis has a major influence on the intra- and postoperative management of spinal cord tumors. Thus, the aim of this study was to assess the reliability of intraoperative pathological diagnosis for spinal cord lesions by comparing it with the final pathological diagnosis and to determine its usefulness and limitations. Three-hundred and three consecutive patients (mean age, 53.9 years) with neoplastic spinal cord lesions who underwent initial surgery between 2000 and 2021 were included. The anatomical locations of the spinal cord tumors and the implementation rate of intraoperative pathological diagnosis in each tumor type were evaluated. As the primary outcome, we determined the concordance rates between the intraoperative pathological diagnosis and the final diagnosis. When the intraoperative pathological diagnosis and final diagnosis were the same, the diagnosis was defined as a "match." Otherwise, the diagnosis was defined as a "mismatch." The overall implementation rate of intraoperative pathological diagnosis was 53%, with implementation rates of 71%, 45%, 47%, and 50% for intramedullary, intradural extramedullary, extradural, and dumbbell tumors, respectively. The overall concordance rate was 87.6%, with concordance rates of 80%, 95%, 75%, and 90% for intramedullary, intradural extramedullary, extradural, and dumbbell tumors, respectively (p < 0.05). The diagnoses of ependymomas, low-grade astrocytomas, and high-grade astrocytomas was occasionally difficult among intramedullary tumors. Among intradural extramedullary tumors, differentiation between grade 1 meningioma and high-grade meningioma was difficult using intraoperative pathological diagnosis. Surgeons must recognize the lower accuracy of intraoperative pathological diagnosis for intramedullary and extradural lesions and make a final decision by considering the intraoperative gross findings, preoperative clinical course, and imaging. [ABSTRACT FROM AUTHOR]

To investigate if the interval between diagnosis and treatment of posterior uveal melanoma (UM) is associated with metastatic death. Retrospective, single-center cohort study. A total of 1145 patients consecutively diagnosed with posterior UM at St. Erik Eye Hospital, Stockholm, Sweden, from 2012 to 2022, with recorded dates of diagnosis and primary treatment. This cohort represents 81% of all diagnosed patients in Sweden during this period. Data on the interval between diagnosis and treatment were collected for all patients. Its prognostic importance was examined with univariate and multivariate competing risks regressions, and cumulative incidence analyses. Incidence of metastatic death (UM mortality) for patients with prompt (< 1 month from diagnosis) versus delayed treatment (≥ 1 month) and subdistribution hazard ratios (exp(β j)) for every additional 10-day delay in treatment. The mean interval between diagnosis and treatment was 34 days (SD, 56, range, 0–932). Patients treated promptly had larger tumors at diagnosis, but there were no differences in patient age, tumor distance to the optic disc, rates of ciliary body involvement (CBI) or extraocular extension (EXE), or symptom duration before diagnosis. Those who were treated more than 1 month after diagnosis had greater UM mortality in American Joint Committee on Cancer (AJCC) stage II and III. In stage I, UM mortality for delayed treatment was lower for the first 10 years, followed by a marked spike in the 11th year. In multivariate competing risks regressions of all 1145 patients with tumor diameter, thickness, CBI, and EXE as covariates, the risk for UM mortality increased with 1% for every additional 10-day delay in treatment (exp(β j) 1.01). Among 355 patients treated with enucleation, this delay was associated with UM mortality, independent of AJCC stage, cytomorphology, and level of immunohistochemical BAP-1 expression. Increasing time between diagnosis and treatment of UM is associated with a higher risk of metastatic death. These results challenge a central concept in the understanding of metastatic progression and may indicate the existence of late metastatic seeding. They also underscore the importance of prompt treatment. Validation in independent cohorts is recommended. The author(s) have no proprietary or commercial interest in any materials discussed in this article. [ABSTRACT FROM AUTHOR]

Introduction: This study analyzed oncologic patient management from initial tumor diagnosis to tumor follow-up in oral and maxillofacial surgery (OMFS) in Germany. Material and methods: A dynamic online questionnaire with a total of 44 questions was used to generate general and specific data regarding oncologic patient management with head and neck malignancies, supportive care, and (pre-) rehabilitation from initial tumor diagnosis to tumor follow-up and head and neck cancer center (HNCC) structures in OMFS in Germany. The questionnaire was sent to 81 OMFS departments affiliated with the German-Austrian-Swiss Working Group for Tumors of the Jaw and Facial Region (DÖSAK) and the German Association of Oral and Maxillofacial Surgery (DGMKG). Data analysis was conducted descriptively. Results: Forty-eight OMFS departments participated (response rate 59.26%), of which 36/48 (75%) were certified HNCC. 28/34 (82.4%) reported subjective improvements in oncologic care, most often interdisciplinary collaboration (21/33, 63.64%) and clinic structure changes (21/34, 61.76%). Nearly all OMFS departments present patients in multidisciplinary tumor boards (45/46, 97.83%) and aim for osseous reconstruction post-tumor resection (43/44, 97.73%). Significant discrepancies regarding the frequency of masticatory-functional dental rehabilitation following osseous reconstruction were observed. Before oncologic therapy, patients are offered various supportive services, mostly psychotherapy and psycho-oncological support (24/26, 92.31%). Post-therapy, speech therapy (43/43, 100%), physiotherapy (40/43, 93.02%), lymphatic drainage, and follow-up rehabilitation (39/43, 90.7%, respectively) are most often offered. 17/43 (39.53%) have oncological nursing staff. 36/40 (90%) manage patients and side effects during adjuvant therapy, while 5/41 (12.2%) provide proprietary palliative care. 36/41 (87.8%) offer counseling to patients and families. Conclusion: Oncologic patient care in OMFS is highly standardized and potentially attributable to many certified HNCCs in Germany. Certain treatment aspects are handled differently, possibly due to institution-specific reasons. Clinical relevance: The high homogeneity in treatment protocols reflects the widespread high and comparable treatment quality of head and neck malignancies in OMFS in Germany. [ABSTRACT FROM AUTHOR]

The current World Health Organization classification of gliomas is based on morphological, genetic, and molecular parameters. In this review, we intend to present the most relevant cytological features of these tumours, with a particular focus on their analysis during intraoperative studies. Rapid diagnosis is required in this context, and at present it is not possible to evaluate the genetic or molecular profile of a tumour intraoperatively. New terminology and diagnostic parameters have been introduced, but the essence of intraoperative recognition remains the same. The main challenge in astrocytoma IDH‐mutant, grade 2 is recognising the tissue as neoplastic. Since glioma grades 3 and 4 are assigned based on histological and genetic variables that are not necessarily measurable on cytology, the term high‐grade glioma is often used for intraoperative diagnosis. Oligodendroglioma, IDH‐mutant and 1p/19q‐codeleted shows peculiar cytological findings as well as the common subtypes of glioblastoma IDH‐wildtype (giant cell, epithelioid, gliosarcoma and small cell). Many of the paediatric‐type‐diffuse gliomas have been described very recently and there are no cytological reports of proven cases. Finally, pilocytic astrocytoma, pleomorphic xanthoastrocytoma, subependymal giant cell astrocytoma, chordoid glioma, and astroblastoma MN1‐altered constitute the group of circumscribed astrocytic gliomas. They are remarkable entities that the pathologist must be able to recognise since most are low‐grade neoplasms that can show atypical morphological features. The last world health organization classification of gliomas is based on morphologic, genetic, and molecular parameters. The latter have modified considerably our understanding and diagnosis of these tumors. In this review we intend to show their most relevant cytologic features, and it is especially aimed at their analysis during intraoperative studies. [ABSTRACT FROM AUTHOR]

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We aimed to determine the relationship between the use of analgesics prescribed for pain management and the onset and progression of mood disorders using a large-scale cohort database. We calculated hazard ratios (HR) with 95% confidence intervals (CI) for patient risk of developing mood disorders based on age, income, health-related variables, disease history, Charlson comorbidity index, and analgesics prescription behavior (Models 1–3). Additionally, we determined the risk of mood disorder occurrence by age group (Model 4) using a proportional hazards regression model. The age- and income-adjusted HR (Model 1) was 1.8275. The age-, income-, BMI-, and physical-activity-adjusted HR (Model 2) was 1.882. The fully adjusted HR (Model 3) was 1.698. Compared with no analgesic use, nonregular use (HR = 1.386) and regular use (HR = 1.698) was associated with a higher risk of mood disorders. Among patients older than 50 years, those who participated in physical activity (less than five days) had a lower risk of mood disorders than those who did not. This suggests that it may be useful for preventing mood disorders in older cancer survivors. A high risk of comorbidities and regular use of analgesics are risk factors for developing mood disorders. Therefore, our results suggest that cancer survivors with a high risk of comorbidities and a history of regular analgesic use should undergo careful psychiatric consultation. [ABSTRACT FROM AUTHOR]

Objective: To compare the diagnostic effectiveness of the Gynecologic Imaging Reporting and Data System (GI-RADS) and Neoplasias in the Adnexa (ADNEX) model for the diagnosis of benign and malignant ovarian tumors by junior physicians. Methods: The sonographic data of 634 patients with ovarian tumors confirmed by pathology in our hospital over 4 years were analyzed retrospectively by junior doctors. The diagnostic efficacy of the GI-RADS and ADNEX models was compared based on pathology. Results: (1) Regarding the diagnostic efficacy of the GI-RADS and ADNEX models, the sensitivity was 90.15% and 84.85%, the specificity was 87.65% and 85.86%, the accuracy rates were 88.17% and 85.65%, and the Youden Indices were 0.778 and 0.707, respectively. The areas under the receiver operating characteristic (ROC) curves were 0.924 (95% CI: 0.900-0.943) and 0.933 (95% CI: 0.911-0.951), respectively. The GI-RADS classification was equivalent to that of the ADNEX model in the diagnosis of adnexal tumors (P>0.05). These findings were highly consistent with the pathological results (Kappa values were 0.684 and 0.691, respectively). (2) When differentiating between different pathological types of adnexal tumors, the ADNEX model had the best diagnostic value for distinguishing between benign tumors and stage II-IV ovarian cancer (AUC=0.990, 95% CI: 0.978-0.997). Conclusions: (1) The diagnostic efficacy of the GI-RADS and ADNEX models in the diagnosis of benign and malignant ovarian tumors by junior physicians is excellent and comparable. (2) The ADNEX model shows good value for differentiating ovarian tumors of different pathological types by junior physicians [ABSTRACT FROM AUTHOR]

Background and aims: Hepatic perivascular epithelioid cell tumor (PEComa) is a rare type of mesenchymal neoplasm and lacks systematic reports. The aim was to analyze the features of hepatic PEComa in order to provide our own experience for diagnosis and management from a single center. Methods: We retrospectively analyzed clinical data, imaging findings, pathology, treatments and prognosis of 36 patients with hepatic PEComa in the First Affiliated Hospital of Zhengzhou University from January 2016 to September 2023. Results: 29 females and 7 males (median age, 47.8 years) were included in this study. The majority (26/36, 72.2%) of patients were diagnosed incidentally with non-specific symptoms. Abnormal enhancement of enlarged blood vessels (27/ 36,75%) can be observed on CT/MRI and only 7 patients (19.4%) were correctly diagnosed by imaging examinations. The positive immunohistochemical expressions were HMB-45(35/36,97.2%), Melan-A (34/35,97.1%), SMA (23/ 26,88.5%) and CD34(86.7%,26/30). Treatments include resection (24/36,67.7%), radiofrequency ablation (6/36,16.7%), transcatheter arterial chemoembolization (1/36,2.7%), conservative clinical follow-up(2/36,5.6%), and sirolimuschemotherapy (3/36,8.3%). During the follow-up period (range, 2–81 months), except for one patient with a single intrahepatic recurrence and 3 malignant patients died in 6 months, the remaining patients had no signs of recurrence and metastasis. Conclusions: Hepatic PEComa has no specific clinical features and mainly depends on clinicopathological characteristics for accurate diagnosis. Resection is the best treatment for benign PEComa, but TACE and radiofrequency ablation can also be considered in case of contraindications for surgery. [ABSTRACT FROM AUTHOR]

The progress of cancer treatment methods in the last decade has significantly reduced mortality rate among these patients. Nevertheless, cancer is still recognized as one of the main causes of human deaths. One of the main reasons for the high death rate in cancer patients is the late diagnosis in the advanced tumor stages. Therefore, it is necessary to investigate the molecular biology of tumor progressions in order to introduce early diagnostic markers. MicroRNAs (miRNAs) have an important role in regulating cellular processes associated with tumor progression. Due to the high stability of miRNAs in body fluids, they are widely used as non-invasive markers in the early tumor diagnosis. Since, deregulation of miR-98 has been reported in a wide range of cancers, we investigated the molecular mechanisms of miR-98 during tumor progression. It has been reported that miR-98 mainly inhibits the tumor growth by the modulation of transcription factors and signaling pathways. Therefore, miR-98 can be introduced as a tumor marker and therapeutic target among cancer patients. [ABSTRACT FROM AUTHOR]

Background: Automatic stapling devices are commonly utilized in pulmonary resections, including sublobar segmentectomy. Large tumors can develop around the staple line, posing challenges in distinguishing them from cancer recurrence or inflammatory changes. In this report, we present two cases of symptomatic staple granulomatous lesion effectively managed with medications. Case presentation: A 74-year-old man presented with a persistent cough and sputum production six years post-segmentectomy for a hamartoma in the left upper lobe. Chest computed tomography (CT) revealed a large tumor around the staple line. Laboratory investigations and bronchoscopic examination revealed no malignancy. The patient received corticosteroids and a cyclooxygenase-2 inhibitor; despite experiencing adverse reactions to steroids, both tumor size and respiratory symptoms were significantly reduced. The second case involved a 78-year-old woman who underwent pulmonary resection for suspected lung cancer. Despite a non-malignant tumor diagnosis, she reported a cough six months post-surgery. Chest CT revealed extensive shadow around the surgical staple, which was diagnosed as mycobacterium granuloma. Low-dose erythromycin induced inflammatory changes but effectively reduced the lesion. Conclusions: Granulomatous lesions around the staple can be effectively managed with medication, and monitoring the treatment response proves valuable in distinguishing them from tumor recurrence post-pulmonary resection. [ABSTRACT FROM AUTHOR]

Objective: The prognosis of colorectal cancer has continuously improved in recent years thanks to continuous progress in both the therapeutic and diagnostic fields. The specific objective of this study is to contribute to the diagnostic field through the evaluation of the correlation between superior hemorrhoidal vein (SHV) ectasia detected on computed tomography (CT) and Tumor (T), Node (N), and distant metastasis (M) examination and mesorectal fascia (MRF) invasion in the preoperative staging of rectal cancer. Methods: Between January 2018 and April 2022, 46 patients with histopathological diagnosis of rectal cancer were retrospectively enrolled, and the diameter of the SHV was evaluated by CT examination. The cutoff value for SHV diameter used is 3.7 mm. The diameter was measured at the level of S2 during portal venous phase after 4× image zoom to reduce the interobserver variability. The parameters evaluated were tumor location, detection of MRF infiltration (defined as the distance < 1 mm between the tumor margins and the fascia), SHV diameter, detection of mesorectal perilesional lymph nodes, and detection of metastasis. Results: A total of 67.39% (31/46) of patients had SHV ectasia. All patients with MRF infiltration (4/46, 7.14%) presented SHV ectasia (average diameter of 4.4 mm), and SHV was significantly related with the development of liver metastases at the moment of primary staging and during follow-up. Conclusion: SHV ectasia may be related to metastasis and MRF involvement; therefore, it could become a tool for preoperative staging of rectal cancer. [ABSTRACT FROM AUTHOR]