Clinical & Translational Oncology最新文献

Introduction: Bladder cancer is one of the most common malignancies of the urinary system and there's a significant unmet need for new effective therapeutics for bladder cancer. The limited number of available models to study malignant bladder tumors is one of the obstructions in developing bladder cancer therapeutics. Patient-derived xenograft (PDX) and organoid (PDO) models are more representatives of human cancer than cell lines and cell line-derived xenograft (CDX) and are likely to be more promising and efficient in predicting drug response and finding new therapeutics.

Methods: Three pairs of patient-derived xenograft (PDX) models of bladder cancer and their corresponding PDX-derived organoids (PDXOs) were successfully established. These models were utilized to assess the efficacy of abemaciclib. The sensitivity of the drug was determined through the Cell Counting Kit-8 (CCK8) assay in PDXO cultures, corroborated by the EdU incorporation assay. Additionally, the in vivo tumor growth was monitored in the matched PDX models.

Results: In vitro PDXO cultures and in vivo PDX tumor models consistently demonstrated that abemaciclib had varying degrees of inhibitory effects across different bladder cancer (BC) patients. Notably, our study further revealed that treatment with abemaciclib significantly modified the expression patterns of CyclinD1/CDK4. This was achieved by not only diminishing their expression levels but also by shifting their expression from a membrane-associated localization to the nucleus.

Conclusion: Our research provided compelling evidence attesting to the reliability and potential of PDX and PDXO models in the realm of precision medicine. These models are instrumental in identifying patients who are likely to respond favorably to a specific drug treatment.

Purpose: Lung cancer remains a leading cause of cancer-related mortality, with non-small cell lung cancer (NSCLC) being particularly challenging due to poor survival rates, emphasizing the need for new treatments. This study examined the therapeutic effects of combining hyperthermia (HT) with tumor-treating electric fields (TTF) in NSCLC.

Methods: Cells were exposed to four different conditions: hyperthermia at 42 °C for 30 min, electric fields at 150 kHz and 0.8 V/cm for 24 h, a combination of both treatments, or no treatment (control). Cell proliferation was measured using WST and colony-formation assays, while apoptosis, DNA damage, and repair protein levels were analyzed via Western blotting. Metastatic potential was evaluated with a transwell assay, and cell migration was assessed using the wound-healing assay.

Results: The combination therapy significantly inhibited colony formation and reduced cell migration and invasion more effectively than individual treatments. The combined treatment also enhanced apoptosis, as indicated by increased cleaved-PARP and Annexin V levels. In addition, the DNA-damage marker γ-H2AX was elevated, while BRCA1, a protein involved in DNA repair, was significantly downregulated compared to the individual treatments.

Conclusions: These results suggest that the enhanced anticancer effects of HT and TTF are due to increased DNA damage and suppression of DNA-repair mechanisms, highlighting the potential of this combination therapy for NSCLC treatment.

Purpose: The activation of cGAS-STING pathway can be triggered by cytosolic double-stranded DNA (dsDNA) in tumor and non-tumor compartments. We aim to assess the constitutive expression of dsDNA-cGAS-STING axis in different cellular contexts and compare their relative contribution to clinical outcomes.

Methods: A cohort of 154 cases of patients with newly diagnosed gastric cancer were enrolled in this study to evaluate the histo-score of cytosolic dsDNA, cGAS, and STING via immunohistochemistry as well as the types and densities of tumor-infiltrating immune cells. Kaplan-Meier method, multivariable regression, and receiver operating characteristic curve were implemented to analyze the prognostic efficacy of dsDNA-cGAS-STING axis in distinct compartments.

Results: The supra-normal concentration of cytosolic dsDNA correlated with the constitutive expression of cGAS-STING pathway in tumor compartments. In contrast to the lack of STING within cancer cells, the higher STING expression in non-tumor compartments indicated a transcellular cGAS-STING activation. Cancer cell-extrinsic STING was supported to potentiate nucleic acid immunity by sensing tumor-derived dsDNA fragments. Compartmental analyses also confirmed that the level of STING expressed in non-tumor cells was associated with the infiltration of protective immune cells, leading to the prolonged overall survival. Multivariate analysis further identified the independent prognostic value of cancer cell-extrinsic STING and its predictive accuracy could be significantly improved in combination with the immune cell infiltration.

Conclusions: Cancer cell-extrinsic STING facilitates the remodeling of immune-active tumor microenvironment and acts as an independent prognostic factor in gastric cancer.

Background: The metabolic environment of glioma is extremely complex. Pyrimidine metabolism can significantly influence malignant progression of multiple kinds of cancer cells. In this study, we intend to explore the relationship between pyrimidine metabolism and malignant progression of glioma.

Methods: We analyzed two glioma RNA-sequencing databases to construct a pyrimidine metabolism-related risk signature. An individualized prognosis prediction model based on this risk signature was established. Functional analysis and in vitro experiments were conducted to assess the role of pyrimidine metabolism in the tumor-immune microenvironment and malignant progress of gliomas.

Results: The high-risk group, as predicted by the pyrimidine metabolism-related risk score, showed a tendency toward more malignant entities and poorer survival outcomes. Functional analysis revealed that pyrimidine metabolism significantly regulates the tumor-immune microenvironment. In vitro experiments confirmed that targeting pyrimidine metabolism-related genes can inhibit malignancy of glioma cell.

Conclusion: In short, the pyrimidine metabolism-related signature we established could serve as an independent prognostic biomarker in diffuse gliomas and has a close association with regulation of the tumor-immune microenvironment.

Objective: This meta-analysis aimed to evaluate the efficacy and safety of combining pemetrexed and platinum with or without pembrolizumab for the treatment of advanced non-small-cell lung cancer (NSCLC).

Methods: A systematic search of PubMed, Embase, Cochrane Library, and Web Of Science databases was conducted to identify studies comparing pemetrexed and platinum with or without pembrolizumab in advanced NSCLC. Raw data were extracted from eligible studies to calculate Hazard Ratios (HR) for Progression-Free Survival (PFS) and Overall Survival (OS), as well as rates of adverse events of all grades and those of Grade 3 or higher.

Results: Eight studies with 1639 patients occurred advanced NSCLC included. The group receiving pembrolizumab in combination with pemetrexed and platinum showed significant benefits in terms of OS (HR 0.63; 95% CI 0.54-0.73; p < 0.00001) and PFS (HR:0.64; 95% CI 0.48-0.85; p = 0.002) compared to the group receiving pemetrexed and platinum alone. However, this benefit was accompanied by a higher incidence of Grade 3 or higher adverse events (OR: 1.55; 95% CI 1.24-1.95; p = 0.0001).

Conclusion: The combination of pemetrexed and platinum with pembrolizumab is recommended as a first-line treatment option for advanced NSCLC due to its significant efficacy benefits. However, the increased risk of Grade 3 or higher adverse events suggests the need for careful consideration and assessment when considering this regimen for second-line or subsequent therapy.

Background: Breast cancer is one of the most lethal diseases affecting women globally. Its progression is influenced by various factors, including the immune system's ability to combat cancer cells. While hematological indices have been recognized as valuable biomarkers for monitoring patients with different types of neoplasms, there remains a considerable gap in research concerning their application in breast cancer.

Material and methods: To address this, we conducted a systematic review of studies examining hematological indices as prognostic predictors in breast cancer patients.

Results: The majority of studies demonstrate a significant correlation between these indices and survival outcomes, underscoring their potential utility in patient monitoring.

Conclusions: Hematological-based indexes can be valuable tools for monitoring breast cancer, especially those ongoing poor prognosis scenarios.

Objective: An investigation of the diagnostic and clinical value of cell cycle-dependent kinase 1 (CDK1) in small cell lung cancer (SCLC).

Methods: A large tertiary hospital in Jiangxi Province enrolled 80 SCLC cases, 105 cases of non-small cell lung cancer (NSCLC), 114 cases of pulmonary nodule (PN) and 60 control cases from December 2022 to December 2023. ELISA was used to measure CDK1 levels in serum. The expression levers of neuron-specific enolase (NSE), Pro gastrin-releasing peptide (ProGRP), squamous cell carcinoma antigen (SCCA), carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199) and cytokeratin 19 fragment (YFRA21-1) were detected by electrochemiluminescence immunoassay.

Results: ①CDK1, ProGRP, NSE, and CA199 expressions were significantly higher in the SCLC group compared to the NSCLC, PN and Control groups (P < 0.01). ②Spearman correlation analysis showed that serum levels of CDK1, NSE, and ProGRP were associated with clinical staging and lymph node metastasis in SCLC patients (P < 0.05). ③The serum levels of CDK1, NSE, and ProGRP in patients with extensive-disease (ED) SCLC were higher than those in patients with limited-disease (LD) SCLC (P < 0.05), and the serum levels of CDK1, NSE, and ProGRP in SCLC patients with lymph node metastasis were higher than those without lymph node metastasis (P < 0.05). ④Compared with the NSCLC group, the AUC of subjects diagnosed with SCLC by CDK1 was the largest and the sensitivity was the highest, 0.831 and 72.50%, the specificity of ProGRP in diagnosing SCLC is the highest, at 95.20% (P < 0.01). Compared with the PN group, CDK1 had the highest AUC, sensitivity, and specificity in diagnosing SCLC, with values of 0.93%, 88.80%, and 94.70%, respectively (P < 0.01). ⑤The combination of CDK1, ProGRP and NSE had the highest AUC and sensitivity of 0.903 and 86.30% for the diagnosis of SCLC (P < 0.01).

Conclusion: CDK1 not only plays an important role in assisting the diagnosis of SCLC but also in the differential diagnosis between SCLC and NSCLC. The combination of CDK1 and NSE and ProGRP can significantly improve the diagnostic performance and provide new ideas for the clinical diagnosis of SCLC.

Purpose: To assess the clinical outcome of patients with recurrent glioblastoma treated with salvage reirradiation.

Methods: Between 2005 and 2022, data from adult patients with glioblastoma treated with surgery and radio-chemotherapy Stupp regimen who developed a local in-field relapse and received stereotactic radiotherapy (SRT) were retrospectively reviewed.

Results: The study population included 44 patients with recurrent glioblastoma (median of 9.5 months after the first radiotherapy). Reirradiation alone was given to 47.7% of patients. The median maximum diameter of the recurrence was 13.5 mm. The most common SRT regimen (52.3%) was 35 Gy in 10 fractions. Acute toxicity was mild, with transient worsening of previous neurological symptoms in only 15% of patients. After a median follow-up of 15 months, 40% presented radiological response, but a remarkable number of early distant progressions were recorded (32.5%). The median time to progression was 4.8 months, being the dose, the scheme, the size of the recurrence or the strategy (exclusive RT vs. combined) unrelated factors. The median overall survival (OS) was 14.9 months. Karnofsky index < 70 and the size of the recurrence (maximum diameter < 25 mm) were significant factors associated with OS. Radiological changes after reirradiation were commonly seen (> 50% of patients) hindering the response assessment.

Conclusions: Reirradiation is a feasible and safe therapeutic option to treat localized glioblastoma recurrences, able to control the disease for a few months in selected patients, especially those with good functional status and small lesions. Hypofractionated schemes provided a suitable toxicity profile. Radiological changes were common.

Purpose: Our study aimed to develop a relatively accurate gastric cancer (GC) screening score system for urban residents and to validate the screening efficacy.

Methods: The present study included a derivation cohort (n = 3406) and a validation cohort (n = 868) of urban residents. Applying the full-stack engineering intelligent system platform of Hualian Health Big Data of Shandong University, the clinical physical examination data of subjects were collected. Univariate and multivariate analyses were used to identify risk factors for GC, and subsequently, an optimal prediction rule was established to create three distinct scoring systems.

Results: In the GC-risk scoring system I, age, plateletocrit (PCT), carcinoembryonic antigen (CEA), glucose, albumin, creatinine were independent risk factors of GC, with scores ranging from 0 to 28 and optimal cut-off was 15.5. The second scoring system consisted of age, PCT, RDW-CV, CEA, glucose, albumin, and creatinine, with scores ranging from 0 to 31. The optimal cut-off point was determined to be 15.5. The scoring system III comprise of age, sex, PCT, RDW CV, CEA, glucose, with scores ranging from 0 to 21 and optimal cut-off was 10.5. All three scoring systems demonstrated excellent discrimination for GC, achieving an AUC of 0.884, 0.89, and 0.876, respectively. In external validation, the AUC values were 0.654, 0.658, and 0.714. Notably, the GC-risk scoring system III exhibited the highest screening efficiency.

Conclusions: Urban residents benefited from the effective and verified GC-risk scoring systems, which demonstrated excellent performance in identifying individuals with an elevated risk of GC.

Head and neck cancers, including cancers of the mouth, throat, voice box, salivary glands, and nose, are a significant global health issue. Radiotherapy and surgery are commonly used treatments. However, due to treatment resistance and disease recurrence, new approaches such as immunotherapy are being explored. Immune checkpoint inhibitors (ICIs) have shown promise, but patient responses vary, necessitating predictive markers to guide appropriate treatment selection. This study investigates the potential of non-invasive biomarkers found in saliva, oral rinses, and tumor-derived exosomes to predict ICI response in head and neck cancer patients. The tumor microenvironment significantly impacts immunotherapy efficacy. Oral biomarkers can provide valuable information on composition, such as immune cell presence and checkpoint expression. Elevated tumor mutation load is also associated with heightened immunogenicity and ICI responsiveness. Furthermore, the oral microbiota may influence treatment outcomes. Current research aims to identify predictive salivary biomarkers. Initial studies indicate that tumor-derived exosomes and miRNAs present in saliva could identify immunosuppressive pathways and predict ICI response. While tissue-based markers like PD-L1 have limitations, combining multiple oral fluid biomarkers could create a robust panel to guide treatment decisions and advance personalized immunotherapy for head and neck cancer patients.