Cancers最新文献

Background: Daratumumab (Dara) is the first monoclonal antibody introduced into clinical practice to treat multiple myeloma (MM). It currently forms the backbone of therapy regimens in both newly diagnosed (ND) and relapsed/refractory (RR) patients. However, previous reports indicated an increased risk of infectious complications (ICs) during Dara-based treatment. In this study, we aimed to determine the profile of ICs in MM patients treated with Dara-based regimens and establish predictors of their occurrence.

Methods: This retrospective, real-life study included MM patients treated with Dara-based regimens between July 2019 and March 2024 at our institution. Infectious events were evaluated using the Terminology Criteria for Adverse Events (CTCAE) version 5.0.

Results: The study group consisted of a total of 139 patients, including 49 NDMM and 90 RRMM. In the RR setting, the majority (60.0%) of patients received the Dara, bortezomib, and dexamethasone (DVd) regimen, whereas ND patients were predominantly (98%) treated with the Dara, bortezomib, thalidomide, and dexamethasone (DVTd) regimen. Overall, 55 patients (39.6%) experienced ICs. The most common IC was pneumonia (37.5%), followed by upper respiratory tract infections (26.8%). Finally, twenty-five patients had severe ICs (grade ≥ 3) and required hospitalization, and eight patients died due to ICs. In the final multivariable model adjusted for setting (ND/RR) and age, hemoglobin level (OR 0.77, 95% CI: 0.61-0.96, p = 0.0037), and Eastern Cooperative Oncology Group (ECOG) >1 (OR 4.46, 95% CI: 1.63-12.26, p = 0.0037) were significant factors influencing severe IC occurrence. Additionally, we developed predictive models using the J48 decision tree, gradient boosting, and random forest algorithms. After conducting 10-fold cross-validation, these models demonstrated strong performance in predicting the occurrence of pneumonia during treatment with daratumumab-based regimens.

Conclusions: Simple clinical and laboratory assessments, including hemoglobin level and ECOG scale, can be valuable in identifying patients vulnerable to infections during Dara-based regimens, facilitating personalized prophylactic strategies.

Background: Surgery, chemotherapy, and radiation often have limited utility for advanced metastatic disease in the liver, and despite its promising activity in select cancers, PD-1 blockade therapy similarly has minimal benefit in this setting. Curaxin, CBL0137, is an experimental anti-cancer drug that disrupts the binding of DNA to histones, destabilizes chromatin, and induces Z-DNA formation which may stimulate anti-tumor immune responses.

Methods: Murine cell lines of colon (CT26) and breast (4T1) cancer were interrogated for survival and CBL0137-associated DNA changes in vitro. Immunocompetent models of liver metastases followed by CBL0137 hepatic arterial infusion (HAI) were used to examine in vivo tumor cell DNA alterations, treatment responses, and the immune contexture associated with CBL0137, both alone and in combination with anti-PD-1 therapy.

Results: CBL0137 induced immediate changes to favor tumor cell death in vitro and in vivo with an efficient tumor uptake via the HAI route. Toxicity to CBL0137 was minimal and anti-tumor treatment effects were more efficient with HAI compared to intravenous delivery. Immune effects were pronounced with CBL0137 HAI with concurrent depletion of a specific population of myeloid-derived suppressor cells and maintenance of effector T cell populations.

Conclusions: Combination of CBL0137 HAI with PD-1 blockade improved survival in 4T1 tumors but not in CT26 tumors, and therapeutic efficacy relies on the finding of simultaneous and targeted depletion of myeloid-derived suppressor cells and skewing of T cell populations to produce synergy with PD-1 blockade therapy.

Background: CD59, a GPI-anchored membrane protein, protects cancer cells from complement-dependent cytotoxicity (CDC) by inhibiting the formation of the membrane attack complex (MAC). It has been demonstrated to be overexpressed in most solid tumors, where it facilitates tumor cell escape from complement surveillance. The role of CD59 in cancer growth and interactions between CD59 and immune cells that modulate immune evasion has not been well explored.

Methods: Using cancer patient database from The Cancer Genome Atlas (TCGA) and other public databases, we analyzed CD59 expression, its prognostic significance, and its association with immune cell infiltration in the tumor microenvironment, identifying associated genomic and functional networks and validating findings with invitro cell-line experimental data.

Results: This article describes the abundant expression of CD59 in multiple tumors such as cervical squamous cell carcinoma (CESC), kidney renal cell carcinoma (KIRC), glioblastoma multiforme (GBM), head and neck squamous cell carcinoma (HNSC), and stomach adenocarcinoma (STAD), as well as in pan-cancer, using The Cancer Genome Atlas (TCGA) database and confirmed using multiple cancer cell lines. The expression of CD59 significantly alters the overall survival (OS) of patients with multiple malignancies such as CESC, GBM, HNSC, and STAD. Further, the correlation between CD59 and Treg and/or MDSC in the tumor microenvironment (TME) has shown to be strongly associated with poor outcomes in CESC, GBM, HNSC, and STAD as these tumors express high FOXP3 compared to KIRC. Moreover, unfavorable outcomes were strongly associated with the expression of CD59 and M2 tumor-associated macrophage infiltration in the TME via the IL10/pSTAT3 pathway in CESC and GBM but not in KIRC. In addition, TGFβ1-dominant cancers such as CESC, GBM, and HNSC showed a high correlation between CD59 and TGFβ1, leading to suppression of cytotoxic T cell activity.

Conclusion: Overall, the correlation between CD59 and immune cells predicts its prognosis as unfavorable in CESC, GBM, HNSC, and STAD while being favorable in KIRC.

Immune checkpoint inhibitors (ICIs) like atezolizumab have improved outcomes in advanced non-small cell lung cancer (NSCLC) patients, especially in the second-line setting after progression on platinum-based chemotherapy. However, access to ICIs remains limited in many developing nations. This study evaluated the efficacy of atezolizumab as a second-line versus later-line treatment for advanced NSCLC patients in Serbia.

Methods: This retrospective study involved 147 advanced NSCLC patients treated with atezolizumab following progression on prior platinum-based chemotherapy at two academic centers in Serbia. Data on demographics and clinical, pathological, and molecular characteristics were collected. Median progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method, and multivariable Cox proportional hazards regression identified outcome predictors.

Results: The median PFS was 7.13 months, and median OS was 38.6 months. The overall response rate (ORR) was 15%, with a disease control rate (DCR) of 57.9%. No significant PFS differences were observed between patients treated with atezolizumab in the second line versus later lines. Patients with good performance status (ECOG 0-1) had significantly better PFS compared to those with poorer status (12.03 vs. 1.63 months, p < 0.0001).

Conclusions: Atezolizumab is effective in both second-line and later-line settings for advanced NSCLC, particularly in patients with good performance status. This highlights the importance of patient selection based on performance status, as well as the need for wider access to ICIs in resource-limited regions.

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Background and objective: The role of urine cytology during follow-up for low-grade (LG) non-muscle-invasive bladder cancer (NMIBC) is not well established, although cytology has low sensitivity in detecting LG recurrences. Our study aims to evaluate the impact of urine cytology as a complementary method to cystoscopy during follow-up for LG NMIBC.

Methods: Patients diagnosed with primary LG TaT1 bladder cancer (BC) between 2010 and 2020 were included. Patients were stratified according to the EAU NMIBC scoring model. Urine cytology was performed during follow-up cystoscopy. The outcomes of the study were BC recurrence and upgrading to high-grade (HG). Cytology utility was established by assessing whether its result led to management change.

Results: We included 337 patients with LG TaT1 BC. EAU risk group distribution was low in 262 (77.7%), intermediate in 57 (16.9%), and high-risk in 18 (5.3%) cases. With a median follow-up of 5 years, 166 (49.3%) patients experienced recurrence. Cystoscopy was positive in 154 (92.8%) and suspicious in 12 (7.2%) cases. Urine cytology was positive in 33 (19.9%) cases but only changed management in 3 (0.89%), all with suspicious cystoscopy. Positive cytology at first recurrence was associated with higher risk of upgrading during follow-up (HR 2.781, p = 0.006) and lower upgrading-free survival (p = 0.001).

Conclusions: The role of urine cytology to detect first recurrences during follow-up for primary LG TaT1 NMIBC might be limited to patients with non-conclusive lesions in the cystoscopy. A positive cytology at first recurrence is associated with a higher risk of upgrading to HG BC during follow-up.

Background: Perioperative FLOT (5-fluorouracil, oxaliplatin and docetaxel) is a standard of care for patients with locally advanced gastro-oesophageal adenocarcinoma (GEA) in Western guidelines, but its use is limited in Asian patients. We report outcomes from a single Asian centre of perioperative FLOT with concomitant granulocyte colony-stimulating factor (GCSF) prophylaxis.

Methods: A retrospective analysis of all 56 stage II to III GEA patients treated with perioperative FLOT at the National Cancer Centre Singapore between June 2017 and February 2024 was performed. All patients were discussed at a multidisciplinary tumour board, underwent preoperative laparoscopic staging, and received prophylactic GCSF with perioperative FLOT. Surgery was performed across four partner institutions. The primary endpoints were the tolerability of FLOT and pathological complete response (pCR). A univariate analysis of factors associated with survival and adverse events was also performed.

Results: Overall, 33 patients (58.9%) completed eight cycles of pre- and postoperative FLOT, and 92.9% underwent resection. The commonest grade 3 to 4 adverse events (AEs) were diarrhoea (10.7%) and neutropenia (5.6%). The 30- and 90-day postoperative mortality rates were 0% and 1.9%, respectively. In resected tumours, the pCR was 15.4%. The median DFS was 27.5 months, but the median OS was not reached. The values for 1-, 2-, and 3-year DFS were 74.6%, 61.0%, and 46.5%, respectively. The values for 1-, 2-, and 3-year OS were 85.0%, 67.4%, and 61.0%, respectively. In the univariate analysis of patients who underwent resection, an ECOG status of 0 was associated with better DFS, while ypN0, R0 resection, and pathological stages 0-II were associated with better DFS and OS. Patients ≥ 65 years benefited from FLOT similarly to those <65 years in terms of DFS (HR 1.03; p = 0.940) and OS (HR 1.08; p = 0.869), with similar rates of grade 3 to 4 AEs. Patients with a higher housing index (HI) were less likely to experience ≥grade 3 AEs compared to those with a lower HI (OR 0.16, p = 0.029).

Conclusions: This study presents a unique real-world Asian experience of perioperative FLOT with prophylactic GCSF use, with low rates of G3 to 4 neutropenia. The tolerability of FLOT was similar to that reported in Western populations. Furthermore, similar survival and rates of grade 3 to 4 AEs were observed in elderly patients. Patients of lower socioeconomic status were more likely to experience severe AEs, highlighting the need to proactively support vulnerable groups during treatment.

Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or computers the ability to perform human-like cognitive functions, began in the 1940s with the first abstract models of intelligent machines. Soon after, in the 1950s and 1960s, machine learning algorithms such as neural networks and decision trees ignited significant enthusiasm. More recent advancements include the refinement of learning algorithms, the development of convolutional neural networks to efficiently analyze images, and methods to synthesize new images. This renewed enthusiasm was also due to the increase in computational power with graphical processing units and the availability of large digital databases to be mined by neural networks. AI soon began to be applied in medicine, first through expert systems designed to support the clinician's decision and later with neural networks for the detection, classification, or segmentation of malignant lesions in medical images. A recent prospective clinical trial demonstrated the non-inferiority of AI alone compared with a double reading by two radiologists on screening mammography. Natural language processing, recurrent neural networks, transformers, and generative models have both improved the capabilities of making an automated reading of medical images and moved AI to new domains, including the text analysis of electronic health records, image self-labeling, and self-reporting. The availability of open-source and free libraries, as well as powerful computing resources, has greatly facilitated the adoption of deep learning by researchers and clinicians. Key concerns surrounding AI in healthcare include the need for clinical trials to demonstrate efficacy, the perception of AI tools as 'black boxes' that require greater interpretability and explainability, and ethical issues related to ensuring fairness and trustworthiness in AI systems. Thanks to its versatility and impressive results, AI is one of the most promising resources for frontier research and applications in medicine, in particular for oncological applications.

Background: Recent research underscores a crucial connection between circadian rhythm disruption and cancer promotion, highlighting an urgent need for attention.

Objectives: Explore the molecular mechanisms by which modern lifestyle factors-such as artificial light exposure, shift work, and dietary patterns-affect cortisol/melatonin regulation and cancer risk.

Methods: Employing a narrative review approach, we synthesized findings from Scopus, Google Scholar, and PubMed to analyze lifestyle impacts on circadian health, focusing on cortisol and melatonin chronobiology as molecular markers. We included studies that documented quantitative changes in these markers due to modern lifestyle habits, excluding those lacking quantitative data or presenting inconclusive results. Subsequent sections focused solely on articles that quantified the effects of circadian disruption on adipogenesis and tumor microenvironment modifications.

Results: This review shows how modern habits lead to molecular changes in cortisol and melatonin, creating adipose microenvironments that support cancer development. These disruptions facilitate immune evasion, chemotherapy resistance, and tumor growth, highlighting the critical roles of cortisol dysregulation and melatonin imbalance.

Conclusions: Through the presented findings, we establish a causal link between circadian rhythm dysregulation and the promotion of certain cancer types. By elucidating this relationship, the study emphasizes the importance of addressing lifestyle factors that contribute to circadian misalignment, suggesting that targeted interventions could play a crucial role in mitigating cancer risk and improving overall health outcomes.

Background: Humans cannot avoid plastic exposure due to its ubiquitous presence in the natural environment. The waste generated is poorly biodegradable and exists in the form of MPs, which can enter the human body primarily through the digestive tract, respiratory tract, or damaged skin and accumulate in various tissues by crossing biological membrane barriers. There is an increasing amount of research on the health effects of MPs. Most literature reports focus on the impact of plastics on the respiratory, digestive, reproductive, hormonal, nervous, and immune systems, as well as the metabolic effects of MPs accumulation leading to epidemics of obesity, diabetes, hypertension, and non-alcoholic fatty liver disease. MPs, as xenobiotics, undergo ADMET processes in the body, i.e., absorption, distribution, metabolism, and excretion, which are not fully understood. Of particular concern are the carcinogenic chemicals added to plastics during manufacturing or adsorbed from the environment, such as chlorinated paraffins, phthalates, phenols, and bisphenols, which can be released when absorbed by the body. The continuous increase in NMP exposure has accelerated during the SARS-CoV-2 pandemic when there was a need to use single-use plastic products in daily life. Therefore, there is an urgent need to diagnose problems related to the health effects of MP exposure and detection. Methods: We collected eligible publications mainly from PubMed published between 2017 and 2024. Results: In this review, we summarize the current knowledge on potential sources and routes of exposure, translocation pathways, identification methods, and carcinogenic potential confirmed by in vitro and in vivo studies. Additionally, we discuss the limitations of studies such as contamination during sample preparation and instrumental limitations constraints affecting imaging quality and MPs detection sensitivity. Conclusions: The assessment of MP content in samples should be performed according to the appropriate procedure and analytical technique to ensure Quality and Control (QA/QC). It was confirmed that MPs can be absorbed and accumulated in distant tissues, leading to an inflammatory response and initiation of signaling pathways responsible for malignant transformation.