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Traditional tumor diagnosis methods rely on tissue biopsy, which can be invasive and unsuitable for long-term monitoring of tumor dynamics. The advent of liquid biopsy has notably improved the overall management of patients with cancer. Liquid biopsy techniques primarily involve detection of circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA). The present review focuses on ctDNA because of its significance in tumor diagnosis, monitoring and treatment. The use of ctDNA-based liquid biopsy offers several advantages, including non-invasive or minimally invasive collection methods, the ability to conduct repeated assessment and comprehensive insights into tumor biology. It serves crucial roles in disease management by facilitating screening of high-risk patients, dynamically monitoring therapeutic responses and diagnosis. Furthermore, ctDNA can be used to demonstrate pseudo-progression, monitor postoperative tumor status and guide adaptive treatment plans. The present study provides a comprehensive review of ctDNA, exploring its origins, metabolism, detection methods, clinical role and the current challenges associated with its application. [ABSTRACT FROM AUTHOR]

Pyroptosis possesses potent antitumor immune activity, making pyroptosis inducer development a promising direction for tumor immunotherapy. Persistent luminescence nanoparticles (PLNPs) are highly sensitive optical probes extensively employed in tumor diagnosis and therapy. However, a pyroptosis inducer based on PLNPs has not been reported yet. Herein, polyethylene glycol–poly lactic acid‐co‐glycolic acid (PEG–PLGA: PP) modified biodegradable CaS:Eu2+ (CSE@PP) PLNPs are synthesized as a pyroptosis inducer for tumor immunotherapy for the first time. The synthesized CSE@PP possesses biowindow persistent luminescence (PersL) and pH‐responsive degradation properties, allowing it to remain stable under neutral pH but degrade when exposed to weak acid (pH < 6.5). During degradation within the tumor, CSE@PP constantly releases H2S and Ca2+ while its PersL gradually fades away. Thus, the PersL signal can self‐monitor H2S and Ca2+ release. Furthermore, the released H2S and Ca2+ result in mitochondrial dysfunction and the inactivation of reactive oxygen species scavenging enzymes, synergistic facilitating intracellular oxidative stress, which induces caspase‐1/GSDM‐D dependent pyroptosis and subsequent antitumor immune responses. In a word, it is confirmed that CSE@PP can self‐monitor H2S and Ca2+ release and pyroptosis‐mediated tumor Immunotherapy. This work will facilitate biomedical applications of PLNPs and inspire pyroptosis‐induced tumor immunotherapy. [ABSTRACT FROM AUTHOR]

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]

Lacrimal adenoid cystic carcinoma (LACC) is one of the most common malignant epithelial tumors of the lacrimal gland, characterized by high rates of local recurrence, distant metastases, and tumor-related mortality. This malignancy impairs the lacrimal gland's ability to secret tears, thereby disrupting the normal function of the ocular surface. Due to ineffective diagnostic approaches and the complex anatomical location of the lacrimal gland within the orbit, many LACC patients are often diagnosed at the later stages. Therefore, it is urgent to develop a simple and convenient method for early detection of LACC through biomarker analysis by liquid biopsies, such as blood or tears. Various microRNAs (miRNAs) derived from liquid biopsies have been shown to serve as biomarkers for early diagnosis of tumors. In the present study, we screened LACC-specific miRNAs using miRNA microarray analysis in both primary and recurrent patient groups. We then validate their expression by qPCR experiments conducted in tissues, cell lines, tear fluid and serum to explore the association between these miRNAs and LACC development and prognosis. Our findings reveal that hsa-miR-200b-3p, hsa-miR-200c-3p and hsa-miR-141-3p are significantly upregulated in LACC, and the microarray data showed that these three miRNAs were significantly elevated in the recurrence group compared to the primary group. In conclusion, detecting miRNA expression in tear fluid and serum provides non-invasive biomarkers for the early diagnosis of LACC and may facilitate monitoring outcomes related to lacrimal gland diseases. [ABSTRACT FROM AUTHOR]

Malignant tumors have become a significant risk factor for human mortality. Although there have been notable advancements in the treatment of tumors, patient prognosis remains poor. In recent years, gene diagnosis and gene therapy have brought great benefits to patients. Deoxythymidine kinase (DTYMK) is a highly promising biomarker, has been studied by many scholars, and plays a crucial role in the occurrence and development of various types of cancer. The abnormal expression of DTYMK is involved in tumor occurrence and development, and may also serve as a biomarker for tumor diagnosis, treatment, and prognosis. Several experimental studies have shown that DTYMK can impact tumor progression by regulating mechanisms such as cell cycle, tumor microenvironment, immune infiltration, and signaling pathways. Therefore, this article focuses on clarifying the mechanism of DTYMK in tumors and exploring its clinical application value to help patients prolong their survival cycle and improve their quality of life. [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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

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]

Objective: To improve the understanding, diagnosis and treatment of bladder large cell neuroendocrine carcinoma (LCNEC). Methods: A clinical case of bladder LCNEC admitted to our hospital was reported. The epidemiology, prognosis, diagnosis and treatment methods of large cell neuroendocrine carcinoma were reviewed. The diagnosis and treatment status and prognosis were discussed based on the literature. Results: The female patient was admitted to hospital for "more than 4 years after TURBT and intermittent hematuria for more than 2 years". She was diagnosed as recurrent bladder cancer and underwent "radical cystotomy + hysterectomy". The postoperative pathological findings were high-grade urothelial carcinoma of the bladder neck and large cell neuroendocrine carcinoma of the bladder. The patient recovered well after surgery, but refused radiotherapy and chemotherapy and is still under close follow-up. Conclusion: Bladder LCNEC is clinically rare, has unique pathological features, is more aggressive than traditional urothelial carcinoma, and has a poor prognosis. Surgery, chemotherapy and radiotherapy should be combined with multimode treatment. [ABSTRACT FROM AUTHOR]

There is a lack of literature on the usefulness of ultrasonography in the diagnosis and prognosis of thoracic and abdominal neoplasia in domestic ruminants, such as cattle, camels, sheep, and goats. This review aims to shed light on the current applications and prospects of ultrasonography in the diagnosis of thoracic and abdominal neoplasia in domestic ruminants. The scientific literature on ultrasonographic evaluation of the thoracic and abdominal neoplasia in domestic ruminants has been systematically reviewed to verify the potential role of ultrasonography in diagnosing such neoplasia. Based on the literature results, cattle (71.03%) were the most affected animals by thoracic and abdominal neoplasia, followed by sheep (11.86%), goats (11.57%), and camels (5.54%). In all included species, the abdominal neoplasia was more frequent (6.18%) than the thoracic neoplasia (2.97%), and the most frequent neoplasms were forestomach neoplasia. It is concluded that ultrasonography is not widely used in diagnosing thoracic and abdominal neoplasia in ruminant practice. Using ultrasonography in conjunction with guided needle aspiration and biopsy can offer veterinarians the opportunity for more precise diagnosis and treatment decisions guidance of thoracic and abdominal neoplasia in domesticated ruminants. [ABSTRACT FROM AUTHOR]

Extracellular vesicles (EVs) are important carriers of signaling molecules, such as nucleic acids, proteins, and lipids, and have become a focus of increasing interest due to their numerous physiological and pathological functions. For a long time, most studies on EV components focused on noncoding RNAs; however, in recent years, extracellular vesicle proteins (EVPs) have been found to play important roles in diagnosis, treatment, and drug resistance and thus have been considered favorable biomarkers and therapeutic targets for various tumors. In this review, we describe the general protocols of research on EVPs and summarize their multifaceted roles in precision medicine applications, including cancer diagnosis, dynamic monitoring of therapeutic efficacy, drug resistance research, tumor microenvironment interaction research, and anticancer drug delivery. [ABSTRACT FROM AUTHOR]

Simple Summary: With advanced bioinformatic and sequencing technologies, many non-coding RNAs have been found to harbor non-canonical open reading frames (ncORFs). Some studies suggest that many ncORF-encoded microproteins or micropeptides possess important roles in cancer biology, yet the functional roles of these ncORF-encoded peptides are mostly unknown. The purpose of this review is to provide a comprehensive overview of existing knowledge on ncORF-encoded microproteins in cancer biology and highlight their roles as potential prognostic and therapeutic targets in cancer. Cancer develops from abnormal cell growth in the body, causing significant mortalities every year. To date, potent therapeutic approaches have been developed to eradicate tumor cells, but intolerable toxicity and drug resistance can occur in treated patients, limiting the efficiency of existing treatment strategies. Therefore, searching for novel genes critical for cancer progression and therapeutic response is urgently needed for successful cancer therapy. Recent advances in bioinformatics and proteomic techniques have allowed the identification of a novel category of peptides encoded by non-canonical open reading frames (ncORFs) from historically non-coding genomic regions. Surprisingly, many ncORFs express functional microproteins that play a vital role in human cancers. In this review, we provide a comprehensive description of different ncORF types with coding capacity and technological methods in discovering ncORFs among human genomes. We also summarize the carcinogenic role of ncORFs such as pTINCR and HOXB-AS3 in regulating hallmarks of cancer, as well as the roles of ncORFs such as HOXB-AS3 and CIP2A-BP in cancer diagnosis and prognosis. We also discuss how ncORFs such as AKT-174aa and DDUP are involved in anti-cancer drug response and the underestimated potential of ncORFs as therapeutic targets. [ABSTRACT FROM AUTHOR]

Background. The diagnosis and treatment of head and neck tumors present significant challenges due to their infiltrative nature and diagnostic hindrances such as the blood–brain barrier. The intricate anatomy of the head and neck region also complicates the clear identification of tumor boundaries and assessment of tumor characteristics. Aim. This review aims to explore the efficacy of molecular imaging techniques that employ targeted contrast agents in head and neck cancer imaging. Head and neck cancer imaging benefits significantly from the combined advantages of CT and MRI. CT excels in providing swift, high-contrast images, enabling the accurate localization of tumors, while MRI offers superior soft tissue resolution, contributing to the detailed evaluation of tumor morphology in this region of the body. Many of these novel contrast agents have integration of dual-modal, triple-modal, or even dual-tissue targeting imaging, which have expanded the horizons of molecular imaging. Emerging contrast agents for the purpose of MRI and CT also include the widely used standards in imaging such as gadolinium and iodine-based agents, respectively, but with peptide, polypeptide, or polymeric functionalizations. Relevance for patients. For patients, the development and use of these targeted contrast agents have potentially significant implications. They benefit from the enhanced accuracy of tumor detection and characterization, which are critical for effective treatment planning. Additionally, these agents offer improved imaging contrast with the added benefit of reduced toxicity and bioaccumulation. The summarization of preclinical nanoparticle research in this review serves as a valuable resource for scientists and students working towards advancing tumor diagnosis and treatment with targeted contrast agents. [ABSTRACT FROM AUTHOR]

Key Clinical Message: Caseous mitral annulus calcification is a rare benign condition that can be misdiagnosed on echocardiography especially when it presents as a mass. This report highlights the contribution of cardiac MRI and computed tomography to the diagnosis through the case of a patient previously treated for breast cancer. We report the case of a patient, previously treated for breast cancer, in whom echocardiography suggested the diagnosis of a cardiac tumor due the presence of a mass on the posterior mitral annulus. Cardiac magnetic resonance was inconclusive. Computed tomography confirmed the diagnosis of caseous mitral annulus calcification. [ABSTRACT FROM AUTHOR]

Human life expectancy is significantly impacted by cancer, with liquid biopsy emerging as an advantageous method for cancer detection because of its noninvasive nature, high accuracy, ease of sampling, and cost-effectiveness compared with conventional tissue biopsy techniques. Liquid biopsy shows promise in early cancer detection, real-time monitoring, and personalized treatment for various cancers, including lung, cervical, and prostate cancers, and offers innovative approaches for cancer diagnosis and management. By utilizing circulating tumor DNA, circulating tumor cells, and exosomes as biomarkers, liquid biopsy enables the tracking of cancer progression. Various techniques commonly used in life sciences research, such as polymerase chain reaction (PCR), next-generation sequencing (NGS), and droplet digital PCR, are employed to assess cancer progression on the basis of different indicators. This review examines the latest advancements in liquid biopsy markers—circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomes—for cancer diagnosis over the past three years, with a focus on their detection methodologies and clinical applications. It encapsulates the pivotal aims of liquid biopsy, including early detection, therapy response prediction, treatment monitoring, prognostication, and its relevance in minimal residual disease, while also addressing the challenges facing routine clinical adoption. By combining the latest research advancements and practical clinical experiences, this work focuses on discussing the clinical significance of DNA methylation biomarkers and their applications in tumor screening, auxiliary diagnosis, companion diagnosis, and recurrence monitoring. These discussions may help enhance the application of liquid biopsy throughout the entire process of tumor diagnosis and treatment, thereby providing patients with more precise and effective treatment plans. [ABSTRACT FROM AUTHOR]

Integrated multimodal imaging in theranostics nanomaterials offers extensive prospects for precise and noninvasive cancer treatment. Precisely controlling the structural evolution of plasmonic nanoparticles is crucial in the development of photothermal agents. However, previous successes have been limited to static assemblies and single‐component structures. Here, an activatable plasmonic theranostics system utilizing self‐assembled 1D silver‐coated gold nanochains (1D nanochains) is presented for precise tumor diagnosis and effective treatment. The absorbance of the adaptable core–shell chain structure can shift from visible to near‐infrared (NIR) regions due to the fusion between nearby Au@Ag nanoparticles induced by elevated H2O2 levels in the tumor microenvironment (TME), resulting in the creation of a novel 3D aggregates with strong NIR absorption. With a high photothermal conversion efficiency of 60.2% at 808 nm, nanochains utilizing the TME‐activated characteristics show remarkable qualities for photoacoustic imaging and significantly limit tumor growth in vivo. This study may pave the way for precise tumor diagnosis and treatment through customizable, optically tunable adaptive plasmonic nanostructures. [ABSTRACT FROM AUTHOR]

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Metabolic alterations in cancers can be exploited for diagnostic, prognostic, and therapeutic purposes. This is exemplified by 18F‐fluorodeoxyglucose (FDG)‐positron emission tomography (FDG‐PET), an imaging tool that relies on enhanced glucose uptake by tumors for diagnosis and staging. By performing transcriptomic analysis of breast cancer (BC) samples from patients stratified by FDG‐PET, a 54‐gene signature (PETsign) is identified that recapitulates FDG uptake. PETsign is independently prognostic of clinical outcome in luminal BCs, the most common and heterogeneous BC molecular subtype, which requires improved stratification criteria to guide therapeutic decision‐making. The prognostic power of PETsign is stable across independent BC cohorts and disease stages including the earliest BC stage, arguing that PETsign is an ab initio metabolic signature. Transcriptomic and metabolomic analysis of BC cells reveals that PETsign predicts enhanced glycolytic dependence and reduced reliance on fatty acid oxidation. Moreover, coamplification of PETsign genes occurs frequently in BC arguing for their causal role in pathogenesis. CXCL8 and EGFR signaling pathways feature strongly in PETsign, and their activation in BC cells causes a shift toward a glycolytic phenotype. Thus, PETsign serves as a molecular surrogate for FDG‐PET that could inform clinical management strategies for BC patients. [ABSTRACT FROM AUTHOR]

Background: Information complementarity can be achieved by fusing MR and CT images, and fusion images have abundant soft tissue and bone information, facilitating accurate auxiliary diagnosis and tumor target delineation. Purpose: The purpose of this study was to construct high-quality fusion images based on the MR and CT images of intracranial tumors by using the Residual-Residual Network (Res2Net) method. Methods: This paper proposes an MR and CT image fusion method based on Res2Net. The method comprises three components: feature extractor, fusion layer, and reconstructor. The feature extractor utilizes the Res2Net framework to extract multiscale features from source images. The fusion layer incorporates a fusion strategy based on spatial mean attention, adaptively adjusting fusion weights for feature maps at each position to preserve fine details from the source images. Finally, fused features are input into the feature reconstructor to reconstruct a fused image. Results: Qualitative results indicate that the proposed fusion method exhibits clear boundary contours and accurate localization of tumor regions. Quantitative results show that the method achieves average gradient, spatial frequency, entropy, and visual information fidelity for fusion metrics of 4.6771, 13.2055, 1.8663, and 0.5176, respectively. Comprehensive experimental results demonstrate that the proposed method preserves more texture details and structural information in fused images than advanced fusion algorithms, reducing spectral artifacts and information loss and performing better in terms of visual quality and objective metrics. Conclusion: The proposed method effectively combines MR and CT image information, allowing the precise localization of tumor region boundaries, assisting clinicians in clinical diagnosis. [ABSTRACT FROM AUTHOR]

Simple Summary: The ongoing research of extracellular vehicles (EVs including exosomes, ectosomes, and apoptotic bodies) is gaining momentum to understand these vesicles' biology and clinical applications in cancer disease. The current limitations of using standard tumor biomarkers warrant the development of novel and reliable biomarkers to meet clinical needs. Exosomes are used as tumor biomarkers, for targeted therapy, for vaccine development, and as a vehicle for drug delivery. Here, we summarized the current approaches for different methods of EV isolation and EV cargo compositions, such as nucleic acids, proteins, and lipids. The unique cargo composition of exosomes makes it a potential candidate for liquid biopsies in the diagnosis and prognosis of cancer patients. Furthermore, the review highlights the use of machine learning algorithms to analyze complex EV datasets and create more robust models for biomarker discovery. Early cancer detection and accurate monitoring are crucial to ensure increased patient survival. Recent research has focused on developing non-invasive biomarkers to diagnose cancer early and monitor disease progression at low cost and risk. Extracellular vesicles (EVs), nanosized particles secreted into extracellular spaces by most cell types, are gaining immense popularity as novel biomarker candidates for liquid cancer biopsy, as they can transport bioactive cargo to distant sites and facilitate intercellular communications. A literature search was conducted to discuss the current approaches for EV isolation and the advances in using EV-associated proteins, miRNA, mRNA, DNA, and lipids as liquid biopsies. We discussed the advantages and challenges of using these vesicles in clinical applications. Moreover, recent advancements in machine learning as a novel tool for tumor marker discovery are also highlighted. [ABSTRACT FROM AUTHOR]

Simple Summary: Cancer remains one of the leading causes of death worldwide, which emphasizes the need for its early and accurate diagnosis and prognosis. Our review explores AI's potential in this field, analyzing 89 recent studies from 2020 through 2023. Specifically, these studies included AI applications for the analysis of multi-omics data: radiomics, pathomics, clinical records, and lab data. Notably, eight studies combined diverse omics data types (genomics, transcriptomics, epigenomics, and proteomics). Integration of AI for the analysis of clinical and omics data contributes to a significant advancement and is essential for safe clinical implementation. Cancer is one of the leading causes of death, making timely diagnosis and prognosis very important. Utilization of AI (artificial intelligence) enables providers to organize and process patient data in a way that can lead to better overall outcomes. This review paper aims to look at the varying uses of AI for diagnosis and prognosis and clinical utility. PubMed and EBSCO databases were utilized for finding publications from 1 January 2020 to 22 December 2023. Articles were collected using key search terms such as "artificial intelligence" and "machine learning." Included in the collection were studies of the application of AI in determining cancer diagnosis and prognosis using multi-omics data, radiomics, pathomics, and clinical and laboratory data. The resulting 89 studies were categorized into eight sections based on the type of data utilized and then further subdivided into two subsections focusing on cancer diagnosis and prognosis, respectively. Eight studies integrated more than one form of omics, namely genomics, transcriptomics, epigenomics, and proteomics. Incorporating AI into cancer diagnosis and prognosis alongside omics and clinical data represents a significant advancement. Given the considerable potential of AI in this domain, ongoing prospective studies are essential to enhance algorithm interpretability and to ensure safe clinical integration. [ABSTRACT FROM AUTHOR]

Simple Summary: Canine cancer is a leading cause of dog mortality. In this study, we examine the hypothesis that the structure of keratin changes when cancer develops in the patient. We use X-ray diffraction of dog claws to detect these changes, finding that the modifications of the intermolecular distances are the most significant. Machine learning algorithms are utilized for cancer/non-cancer diagnostics, achieving a balanced accuracy of 85% for the blind group. Our research suggests that the changes in keratin structure can be tracked by X-ray diffraction, offering a potential tool for non-invasive cancer diagnostics. This could have significant implications for the early detection and treatment of canine cancer, potentially saving many lives. Moreover, this approach can be extended to human cancer detection. We report the results of X-ray diffraction (XRD) measurements of the dogs' claws and show the feasibility of using this approach for early, non-invasive cancer detection. The obtained two-dimensional XRD patterns can be described by Fourier coefficients, which were calculated for the radial and circular (angular) directions. We analyzed these coefficients using the supervised learning algorithm, which implies optimization of the random forest classifier by using samples from the training group and following the calculation of mean cancer probability per patient for the blind dataset. The proposed algorithm achieved a balanced accuracy of 85% and ROC-AUC of 0.91 for a blind group of 68 dogs. The transition from samples to patients additionally improved the ROC-AUC by 10%. The best specificity and sensitivity values for 68 patients were 97.4% and 72.4%, respectively. We also found that the structural parameter (biomarker) most important for the diagnostics is the intermolecular distance. [ABSTRACT FROM AUTHOR]

Simple Summary: Ovarian serous borderline tumor (SBT) is a known precursor of low-grade serous carcinoma, and it has been reported that about 50% of SBTs are BRAF-mutated and that these tumors have a better prognosis. Therefore, early identification of the mutation is important for accurate treatment and follow-up of patients with SBT. It has been shown that eosinophilic cells (ECs) can be a histologic sign of a BRAF mutation. Therefore, the aim of our retrospective study was to evaluate the interobserver reproducibility for these cells. A BRAFV600E mutation was found in 45% of cases. The interobserver reproducibility in the assessment of ECs was substantial. The sensitivity and specificity for predicting the mutation were 79% and 91%, respectively, so ECs in ovarian SBTs can be used for initial screening of the BRAFV600E mutation to stratify patients and establish a prognosis. According to recent reports, ovarian serous borderline tumor (SBT) harboring the BRAF V600E mutation is associated with a lower risk of progression to low-grade serous carcinoma. Preliminary observations suggest that there may be an association between eosinophilic cells (ECs) and the above-mentioned mutation, so this study aimed to evaluate interobserver reproducibility for assessing ECs. Forty-two samples of SBTs were analyzed for ECs with abundant eosinophilic cytoplasm. Immunohistochemical staining and genetic pro-filing were performed in all cases to verify the BRAF V600E mutation. A BRAF V600E mutation was found in 19 of 42 (45%) cases. Inter-observer reproducibility in the assessment of ECs was substantial (κ = 0.7). The sensitivity and specificity for predicting the mutation were 79% and 91%, respectively. Patients with BRAF-mutated SBTs were significantly younger than those without mutation (p = 0.005). SBTs with BRAF mutation were less likely to be accompanied by non-invasive implants than wild-type SBT: 12% (2/17) versus 33% (6/18). Seven cases were excluded due to incomplete cytoreductive surgery. Nevertheless, Fisher's exact test showed no significant differences between the two groups (p = 0.228). Overall, this study strengthens the idea that ECs in ovarian SBTs may represent a mutation with prognostic significance, which can serve as a primary screening test for BRAF V600E mutation in this pathologic entity. [ABSTRACT FROM AUTHOR]

Quantum dots (QDs) represent a class of nanoscale wide bandgap semiconductors, and are primarily composed of metals, lipids, or polymers. Their unique electronic and optical properties, which stem from their wide bandgap characteristics, offer significant advantages for early cancer detection and treatment. Metal QDs have already demonstrated therapeutic potential in early tumor imaging and therapy. However, biological toxicity has led to the development of various non-functionalized QDs, such as carbon QDs (CQDs), graphene QDs (GQDs), black phosphorus QDs (BPQDs) and perovskite quantum dots (PQDs). To meet the diverse needs of clinical cancer treatment, functionalized QDs with an array of modifications (lipid, protein, organic, and inorganic) have been further developed. These advancements combine the unique material properties of QDs with the targeted capabilities of biological therapy to effectively kill tumors through photodynamic therapy, chemotherapy, immunotherapy, and other means. In addition to tumor-specific therapy, the fluorescence quantum yield of QDs has gradually increased with technological progress, enabling their significant application in both in vivo and in vitro imaging. This review delves into the role of QDs in the development and improvement of clinical cancer treatments, emphasizing their wide bandgap semiconductor properties. [ABSTRACT FROM AUTHOR]

Glioblastoma (GBM) is the most aggressive and the most common primary brain tumor, defined by nearly uniform rapid progression despite the current standard of care involving maximal surgical resection followed by radiation therapy (RT) and temozolomide (TMZ) or concurrent chemoirradiation (CRT), with an overall survival (OS) of less than 30% at 2 years. The diagnosis of tumor progression in the clinic is based on clinical assessment and the interpretation of MRI of the brain using Response Assessment in Neuro-Oncology (RANO) criteria, which suffers from several limitations including a paucity of precise measures of progression. Given that imaging is the primary modality that generates the most quantitative data capable of capturing change over time in the standard of care for GBM, this renders it pivotal in optimizing and advancing response criteria, particularly given the lack of biomarkers in this space. In this study, we employed artificial intelligence (AI)-derived MRI volumetric parameters using the segmentation mask output of the nnU-Net to arrive at four classes (background, edema, non-contrast enhancing tumor (NET), and contrast-enhancing tumor (CET)) to determine if dynamic changes in AI volumes detected throughout therapy can be linked to PFS and clinical features. We identified associations between MR imaging AI-generated volumes and PFS independently of tumor location, MGMT methylation status, and the extent of resection while validating that CET and edema are the most linked to PFS with patient subpopulations separated by district rates of change throughout the disease. The current study provides valuable insights for risk stratification, future RT treatment planning, and treatment monitoring in neuro-oncology. [ABSTRACT FROM AUTHOR]

Cancer presents a formidable challenge in modern medicine due to the intratumoral heterogeneity and the dynamic microenvironmental niche. Natural or genetically engineered oncolytic bacteria have always been hailed by scientists for their intrinsic tumor‐targeting and oncolytic capacities. However, the immunogenicity and low toxicity inevitably constrain their application in clinical practice. When nanomaterials, characterized by distinctive physicochemical properties, are integrated with oncolytic bacteria, they achieve mutually complementary advantages and construct efficient and safe nanobiohybrids. In this review, we initially analyze the merits and drawbacks of conventional tumor therapeutic approaches, followed by a detailed examination of the precise oncolysis mechanisms employed by oncolytic bacteria. Subsequently, we focus on harnessing nanomaterial‐assisted oncolytic bacteria (NAOB) to augment the effectiveness of tumor therapy and utilizing them as nanotheranostic agents for imaging‐guided tumor treatment. Finally, by summarizing and analyzing the current deficiencies of NAOB, this review provides some innovative directions for developing nanobiohybrids, intending to infuse novel research concepts into the realm of solid tumor therapy. [ABSTRACT FROM AUTHOR]

Key Clinical Message: Early biopsy and multidisciplinary collaboration with imaging and physical examination are crucial for the diagnosis of such rare tumor presenations. Highlighting the importance of maintaining a broad differential for intra‐nasal lesions given the rare presentation of craniopharyngioma as nasal mass. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to evaluate the diagnostic sensitivity and specificity of the miRNA-371a-3p for the primary diagnosis of germ cell tumors (GCT) and to investigate its relationship with pathological factors and clinical stage in the Turkish population. Materials and Methods: In this prospective study, a total of 60 patients with GCTs, and 40 healthy male controls were examined for serum levels of miRNA-371a-3p before orchiectomy and again two weeks after surgery. The miRNA-371a-3p, alpha-fetoprotein (AFP), and beta-human chorionic gonadotropin (bHCG) levels in the preoperative and postoperative periods were compared at different clinical stages. Receiver operating characteristics curve analyses were performed to determine the sensitivity and specificity of miRNA-371a-3p. Clinical and pathological factors such as clinical stage (CS), tumor size, histology, rete testis invasion, and lymphovascular invasion, potentially impacting miRNA-371a-3p expression levels (relative quantity, RQ), were evaluated statistically. Results: The sensitivity of miR-371a-3p in GCT patients was 98.3%, and the specificity was 95% (AUC = 0.997 [95%Cl:0.99–1], p < .001). miR-371a-3p expression was not detected in two patients with teratoma. The median miR-371a-3p RQ was 489 times in GCT and 2.2 times in the Control group (p < .001). In the postoperative period, there was a significant decrease in AFP and bHCG levels in all CS-1 (p = .01) and 30% of the other CS (p = .3). Throughout this time there was a decrease of 19 times at the miR-371a-3p RQ in CS-1(p < .001) and 1.6 times in the other CS (p < .001). The miR-371a-3p RQs were correlated with tumor size and CS. Conclusion: The miR-371a-3p seems to have higher diagnostic accuracy than classical serum tumor markers in GCT. [ABSTRACT FROM AUTHOR]