Endometrial cancer (EC), a prevalent gynecological malignancy, presents significant challenges due to its genetic complexity and heterogeneity. The genomic landscape of EC is underpinned by genetic alterations, such as mutations in PTEN, PIK3CA, and ARID1A, and chromosomal abnormalities. The identification of molecular subtypes-POLE ultramutated, microsatellite instability (MSI), copy number low, and copy number high-illustrates the diverse genetic profiles within EC and underscores the need for subtype-specific therapeutic strategies. The integration of multi-omics technologies such as single-cell genomics and spatial transcriptomics has revolutionized our understanding and approach to studying EC and offers a holistic perspective that enhances the ability to identify novel biomarkers and therapeutic targets. The translation of these multi-omics findings into personalized medicine and precision oncology is increasingly feasible in clinical practice. Targeted therapies such as PI3K/AKT/mTOR inhibitors have demonstrated the potential for improved treatment efficacy tailored to specific genetic alterations. Despite these advancements, challenges persist in terms of variability in patient responses, the integration of genomic data into clinical workflows, and ethical considerations. This review explores the genomic underpinnings of EC, from genes to clinical practice. It highlights the ongoing need for multidisciplinary research and collaboration to address the complexities of EC and improve diagnosis, treatment, and patient outcomes.

Oxidative stress is universal to all cell types, including cancer. It is elicited by a surplus of reactive oxygen species (ROS) or a reduced cellular ability to defend against those. At low levels (oxidative eustress), this induces altered cellular signaling, while at higher levels (oxidative distress), cellular toxicity and non-specific redox signaling become apparent. While oxidation-induced cell death is a hallmark of many cancer therapies, including ROS-producing radiotherapy, some chemotherapies and targeted therapies, photodynamic therapy, and recently emerging physical modalities such as medical gas plasma (a multi-ROS generating technology), less is known about the transcriptional profiles predisposing cancer cells to oxidative demise. In particular, which genes are associated with resistance or sensitivity to ROS overload and subsequent toxicity has not been systematically investigated. Moreover, it is unclear if there are differences between oxidant types, such as hydrogen peroxide and hypochlorous acid. To this end, we here employed 35 cell lines of various origins (e.g., adenocarcinoma, melanoma, leukemia, squamous cell carcinoma, and neuroblastoma). We first performed in-house transcriptomic analysis to assess baseline transcriptional profiles. Second, all cell lines were exposed to four different ROS concentrations of either hydrogen peroxide, hypochlorous, or gas plasma exposure. Third, correlation analysis was performed to identify genes associated with (i) oxidative stress sensitivity, (ii) oxidative stress resistance, and (iii) similarities and/or differences between the different oxidative stress inducers. Intriguingly, distinct gene sets were found for all treatments, and there was a striking difference between hydrogen peroxide and hypochlorous acid, suggesting different modes of action of both oxidants.

In recent years, numerous studies have been published on determining the WHO grade of central nervous system (CNS) tumors using machine learning algorithms. These studies are usually based on magnetic resonance imaging (MRI) and sometimes also on positron emission tomography (PET) images. To date, however, there are virtually no corresponding studies based on routinely generated computed tomography (CT) images. The aim of our proof-of-concept study is to investigate whether machine learning-based tumor diagnosis is also possible using CT images.

Patients undergoing endoscopic submucosal dissection under monitored anesthesia care (MAC) with remimazolam may develop respiratory distress during the procedure. In these cases, low doses of flumazenil improved respiratory distress without completely reversing sedation, which is a novel phenomenon. This study aimed to explore the ED90 of flumazenil to selectively improve respiratory distress in patients with MAC treated with remimazolam.

Biliary tract cancers (BTCs), including gallbladder and bile duct cancers, have a poor prognosis. Recent advances in chemotherapy, such as using targeted drugs for specific gene mutations, have improved outcomes. Gemcitabine plus cisplatin chemotherapy has been the standard of care for the primary treatment of BTCs, but secondary treatment had not been established until recently. In recent years, durvalumab plus gemcitabine and cisplatin (GCD) chemotherapy is emerging as a promising regimen, although more evidence is needed for its effectiveness. This retrospective single-center study involved 44 patients receiving GCD treatment between January 2023 and March 2024 with a median follow-up of 10 months. Outcomes focused on overall survival (OS), progression-free survival (PFS), response rates, and adverse events (AEs). The overall response rate (ORR) was 23%, and the disease control rate (DCR) was 82%. The overall median OS and PFS were 15.3 and 8.0 months, respectively, with patients receiving primary chemotherapy experiencing longer survival compared to a control group. Patients who did not undergo bile duct drainage had statistically different better OS and PFS. Grade 3 or higher AEs occurred in 54.5% of patients, with neutropenia and biliary infections being common. GCD chemotherapy shows potential as an effective treatment for BTCs. The favorable treatment outcome was the response rate, particularly in primary therapy or those cases with no metastasis. Bile duct management is crucial for improving patient outcomes. GCD chemotherapy has a high response rate, PFS, and OS compared to other forms of chemotherapy.

Breast cancer-related lymphedema (BCRL) is a chronic disease with lasting effects, making it one of the most feared sequelae of breast cancer with significant personal and social impacts. Therapeutic exercises play a fundamental role in its treatment. This systematic review aims to provide the most up-to-date findings on the impact of physical exercise on the management of BCRL. Following the PRISMA statement guidelines, searches were conducted in the Web of Science, Scopus, and Science Direct databases. Sixteen studies published between 2019 and 2024 were analyzed in detail. The combination of strength and aerobic exercises emerged as an effective strategy for both the treatment and prevention of lymphedema, also highlighting the innovative potential of virtual reality. It is essential to emphasize tailoring exercise programs to each patient individually. Additionally, the promising role of thermography as a non-invasive and safe tool for evaluating lymphedema progress is underscored.

The management of periocular skin malignancies presents a unique challenge. Proton beam therapy, due to its sharp dose fall-off, allows for the delivery of a tumoricidal dose to the tumor while sparing adjacent normal tissues. Thirteen patients with a median age of 76.5 years received protons at our institution to a median dose of 66.6 Gy (RBE). Sixty-four percent of the lesions were basal cell carcinoma, and 22% were squamous cell carcinoma. Eighty-six percent of patients underwent biopsy only or partial resection. Fifty-seven percent of the lesions were located in the medial or lateral canthus. There was orbital invasion in 93% of the cases. Locoregional control probability and overall survival were estimated with the Kaplan-Meier method. Treatment toxicity was scored using the CTCAE 4.0. At a median follow-up of 96 months, there was no local recurrence. The rate of orbital preservation was 100%. Functional vision was maintained in all the patients. There was no acute or late grade 3 or higher toxicity. Protons allow for long-term tumor control with eye preservation in patients with locally advanced periocular skin cancers. Larger prospective multi-institutional trials with standardized ophthalmological assessments are needed to confirm our findings.

Despite advances in prophylaxis, early diagnosis, and treatment, urogenital cancers represent a significant challenge to public health in Poland due to their relatively high prevalence and mortality rates. This narrative review aims to explore contemporary evidence on the epidemiology of urogenital cancers in Poland, such as prostate cancer, bladder cancer, kidney cancer, testicular cancer, and penile cancer, focusing on current and historical status and trends in the broader context of healthcare delivery. The literature consistently indicates that urogenital cancer continues to be a significant contributor to cancer incidence and mortality rates in Poland. Although the body of evidence is expanding, its quantity remains limited, primarily attributable to the scarcity of top-notch epidemiological investigations targeting particular forms of cancer, such as testicular and penile cancers, which are characterized by sporadic occurrences.

The aim of this systematic review and meta-analysis was to qualitatively and quantitatively evaluate the current evidence on the significance of the loss of early stages of oral carcinogenesis in lesions diagnosed according to clinical and/or histopathological criteria and their evolution to oral cancer.

This study describes the sequelae, side effects, and toxicities experienced by Canadian breast cancer survivors at a breast cancer survivorship clinic at a tertiary academic cancer centre and identifies potential risk factors which may be associated with increased side effect burden.

Accurate diagnosis is essential to avoid unnecessary procedures for thyroid incidentalomas (TIs). Advances in radiomics and machine learning applied to medical imaging offer promise for assessing thyroid nodules. This study utilized radiomics analysis on F-18 FDG PET/CT to improve preoperative differential diagnosis of TIs.

At the end of the past century, the introduction of Total Mesorectal Excision (TME), preceded by either short-course radiotherapy (SCRT) or chemoradiation (CRT), established the new standard of care for locally advanced rectal cancer (LARC). Recently, significant advancements were achieved for both dMMR/MSI and pMMR/MSS LARC patients. For the 2-3% of dMMR/MSI LARCs, ablative immunotherapy emerged as a curative approach, offering the possibility of avoiding chemotherapy (CT), radiotherapy, and surgery altogether. In pMMR/MSS LARCs, the intensification of preoperative treatments with Total Neoadjuvant Treatment (TNT) afforded three outcomes: (a) a reduction of distant metastases, positively impacting on survival endpoints, (b) a significant increase of complete clinical response (cCR) rate, paving the way for non-operative management (NOM), and (c) the selective omission of radiotherapy following induction CT. The choice of the most appropriate therapeutic strategy can only be made through the shared decision-making process between physician and patient based on risk stratification and patient preferences.

The accurate staging of multiple myeloma (MM) is essential for optimizing treatment strategies, while predicting the progression of asymptomatic patients, also referred to as monoclonal gammopathy of undetermined significance (MGUS), to symptomatic MM remains a significant challenge due to limited data. This study aimed to develop machine learning models to enhance MM staging accuracy and stratify asymptomatic patients by their risk of progression.

Algae are a rich source of bioactive compounds that have a wide range of beneficial effects on human health and can show significant potential in the treatment of hematological malignancies such as leukemia, lymphoma, and multiple myeloma. These diseases often pose a therapeutic challenge despite recent advances in treatment (e.g., the use of immunomodulatory drugs, proteasome inhibitors, CD38 monoclonal antibodies, stem cell transplant, and targeted therapy). A considerable number of patients experience relapses or resistance to the applied therapies. Algal compounds, alone or in combination with chemotherapy or other more advanced therapies, have exhibited antitumor and immunomodulatory effects in preclinical studies that may improve disease outcomes. These include the ability to induce apoptosis, inhibit tumor growth, and improve immune responses. However, most of these studies are conducted in vitro, often without in vivo validation or clinical trials. This paper summarizes the current evidence on the in vitro effects of algae extracts and isolated compounds on leukemia, lymphoma, and myeloma cell lines. In addition, we address the current advances in the application of algae-derived compounds as targeted drug carriers and their synergistic potential against hematologic malignancies.

Renal cell carcinoma (RCC) is a heterogeneous disease that represents the most common type of kidney cancer. The classification of RCC is primarily based on distinct morphological and molecular characteristics, with two broad categories: clear cell RCC (ccRCC) and non-clear cell RCC (nccRCC). Clear cell RCC is the predominant subtype, representing about 70-80% of all RCC cases, while non-clear cell subtypes collectively make up the remaining 20-30%. Non-clear cell RCC encompasses many histopathological variants, each with unique biological and clinical characteristics. Additionally, any RCC subtype can undergo sarcomatoid dedifferentiation, which is associated with poor prognosis and rapid disease progression. Recent advances in molecular profiling have also led to the identification of molecularly defined variants, further highlighting the complexity of this disease. While immunotherapy has shown efficacy in some RCC variants and subpopulations, significant gaps remain in the treatment of rare subtypes. This review explores the outcomes of immunotherapy across RCC subtypes, including rare variants, and highlights opportunities for improving care through novel therapies, biomarker-driven approaches, and inclusive clinical trial designs.

T-cell redirecting therapies, which include chimeric antigen receptor T-cells (CAR-Ts) and bispecific antibodies (BSAs), have revolutionized the treatment of relapsed\refractory large B-cell lymphoma (LBCL). Expanding clinical experience with these advanced therapies shows the potential for the optimization of their use with combination or consolidation strategies, which necessitates the prognostic stratification of patients. While traditional clinical prognostic factors identified in the era of chemotherapy are characterized by limited value, the tumor microenvironment (TME) is becoming a new prognostic cluster. We examine how the heterogeneity of LBCL, characterized by variations in tumor parameters and differences in TME immune cell composition, immune checkpoint expression, and cytokine milieu, correlates with both positive responses and resistance to treatment. While classical parameters such as histological subtype, cell of origin, and target antigen expression lack proven prognostic value for T-cell redirecting therapies, the density and functional state of tumor-infiltrating lymphocytes, tumor-associated macrophages, and immune checkpoint molecules are shown to be critical determinants of therapeutic success, particularly in CAR-T therapy. We identify several gaps in the current knowledge and suggest that the insights gained from CAR-T experience could be instrumental in refining BSA applications. This report also highlights limitations in the current knowledge, as TME data derive from a limited number of registrational trials with varying methodologies, complicating cross-study comparisons and often focusing on immediate response metrics rather than long-term outcomes. By dissecting the complex interactions within the TME, this review aims to identify new prognostic factors and targets, ultimately fostering more effective and tailored treatment strategies for LBCL patients.

Cutaneous T-cell lymphoma (CTCL) is a type of non-Hodgkin's lymphoma that primarily affects the skin, rich in hyaluronic acid (HA). HA is a component of the extracellular matrix in the dermis and likely affects the development of CTCL, but the mechanism is poorly understood. Here we show that low-molecular-weight HA (LMWHA) possibly exacerbates CTCL, and bexarotene, already used in CTCL treatment, decreases HA production.

Intraoperative ultrasound (ioUS) provides real-time imaging during neurosurgical procedures, with advantages such as portability and cost-effectiveness. Accurate tumor segmentation has the potential to substantially enhance the interpretability of ioUS images; however, its implementation is limited by persistent challenges, including noise, artifacts, and anatomical variability. This study aims to develop a convolutional neural network (CNN) model for glioma segmentation in ioUS images via a multicenter dataset. We retrospectively collected data from the BraTioUS and ReMIND datasets, including histologically confirmed gliomas with high-quality B-mode images. For each patient, the tumor was manually segmented on the 2D slice with its largest diameter. A CNN was trained using the nnU-Net framework. The dataset was stratified by center and divided into training (70%) and testing (30%) subsets, with external validation performed on two independent cohorts: the RESECT-SEG database and the Imperial College NHS Trust London cohort. Performance was evaluated using metrics such as the Dice similarity coefficient (DSC), average symmetric surface distance (ASSD), and 95th percentile Hausdorff distance (HD95). The training cohort consisted of 197 subjects, 56 of whom were in the hold-out testing set and 53 in the external validation cohort. In the hold-out testing set, the model achieved a median DSC of 0.90, ASSD of 8.51, and HD95 of 29.08. On external validation, the model achieved a DSC of 0.65, ASSD of 14.14, and HD95 of 44.02 on the RESECT-SEG database and a DSC of 0.93, ASSD of 8.58, and HD95 of 28.81 on the Imperial-NHS cohort. This study supports the feasibility of CNN-based glioma segmentation in ioUS across multiple centers. Future work should enhance segmentation detail and explore real-time clinical implementation, potentially expanding ioUS's role in neurosurgical resection.

Lymphangioleiomyomatosis (LAM) is a rare, progressive, and poor-prognosis systemic disorder that primarily affects women of reproductive age, with a higher prevalence among individuals of Caucasian origin. However, there are limited reliable data on the prevalence of LAM during pregnancy. The fulminant respiratory clinical presentation that often includes progressive dyspnea on exertion, cough, or hemoptysis, frequently complicated by pneumothorax, and the increased risk of spontaneous abortion due to increased estrogen and progesterone production during gestation, are arguments that most often make the diagnosed woman avoid pregnancy. Elevated levels of vascular endothelial growth factor D (VEGF-D), decline in respiratory function, and radiological findings are sufficient arguments in favor of the diagnosis in the pregnant woman. Sirolimus, an mTOR inhibitor, has demonstrated effectiveness in slowing the decline of lung function. Although sirolimus treatment is often recommended to be discontinued before conception due to the increased risk of fetal growth restriction, maintaining a dose level of <5 pcg/mL, with serum drug levels of 3-5 pcg/L, has been considered safe. Given the potential risks, individualized decisions about pregnancy are advised for patients with LAM. For those who choose to proceed, close monitoring by a multidisciplinary team is essential to manage complications effectively. Ongoing research aims to provide clearer guidance to optimize outcomes for both mother and child.

CAPTRANE evaluated the efficacy and tolerability of high-concentration capsaicin patch (HCCP) vs. oral pregabalin for the treatment of postsurgical neuropathic pain (PSNP) following breast cancer surgery. The study was designed with the aim of demonstrating noninferiority of one HCCP against daily pregabalin. This was a multicenter, randomized, parallel-arm, open-label study conducted across nine centers in France. The primary endpoint was a change from baseline in the Numeric Pain Rating Scale (NPRS) score after 2 months. Recruitment challenges resulted in the randomization of 140 patients (versus 644 planned); the per-protocol population comprised 107 patients (HCCP: n = 65; pregabalin: n = 42). Baseline characteristics were similar between the two groups. In the per-protocol analysis, the mean (standard deviation) change versus baseline in NPRS score was -1.926 (2.554) with HCCP and -1.634 (2.498) with pregabalin. The prespecified analysis showed that HCCP was not inferior to pregabalin: the lower bound of the 90% confidence interval for the between-arm difference was -0.889 and the upper bound was +0.260 (i.e., below the predefined clinical threshold of +0.4). Patient-reported outcomes showed no statistically significant differences between treatments. The painful area size decreased significantly more with HCCP. Tolerability profiles differed, with HCCP mostly causing application-site reactions. While >50% of patients switched from pregabalin to HCCP, none switched from HCCP to pregabalin. This comparative study in PSNP post breast cancer surgery, evaluating a single treatment of HCCP, shows a noninferior reduction in pain intensity, a superior reduction in painful area size, and a patient preference for HCCP compared with pregabalin. Despite limitations, it contributes valuable initial data for PSNP management in breast cancer care.

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