Cancer Medicine最新文献

Background

Acral and mucosal melanomas are more prevalent in Asians than in Caucasians, unlike cutaneous melanomas, which are predominant in Caucasians. Recent studies have suggested that non-Caucasian cutaneous melanomas responded less to immune checkpoint inhibitors, highlighting the need for genetic profiling across ethnicities. This study aimed to elucidate the genetic characteristics of Japanese melanomas, which is an under-researched topic.

Methods

Single-nucleotide variants, indels, and copy number alterations in 104 Japanese melanoma patients (37 cutaneous, 52 acral, and 15 mucosal) were analyzed using custom panel sequencing.

Results

Driver events were detected in 94% of the cases. Among cutaneous melanoma cases, 76% had BRAF mutations, and 8% had NRAS mutations. In acral melanoma, BRAF (9%), NRAS (17%), KRAS (8%), KIT (19%), and NF1 (7%) mutations were detected. Major driver mutations in mucosal melanoma were detected in NRAS, KRAS, NF1, PTEN, GNAQ, and KIT. The median tumor mutational burden across all melanoma types was 4.6 mutations/Mb, with no significant difference between the cutaneous and acral/mucosal types. Of the 21 patients with both primary and metastatic lesions, 11 showed distinct mutations in each. Potentially actionable mutations were detected in 58 patients in addition to BRAF V600E/K mutations in 31.

Conclusions

This study highlights distinct genetic abnormalities and actionable alterations in Japanese melanoma patients. This suggests a lower tumor mutational burden in East Asian cutaneous melanoma, which may affect the efficacy of immune checkpoint inhibitors. The heterogeneity of driver mutations across and within individuals highlights the need for personalized treatment approaches.

Introduction

Sinonasal undifferentiated carcinoma (SNUC) is a rare and highly aggressive malignancy originating in the nasal cavity and paranasal sinuses. Its pathogenesis and immune characteristics remain poorly understood.

Objectives

This study investigates the molecular aspects of SNUC, focusing on tumorigenesis and immunity.

Methods

For this purpose, spatial transcriptome analysis was employed to compare the gene expression profiles of SNUC tumor cells with those of normal epithelial cells, as well as to compare tumor-infiltrating immune cells with immune cells from normal, tumor-free tissue areas. For validation, next-generation sequencing tests and clinical sample studies were conducted.

Results

Spatial transcriptome analysis revealed notable upregulation of EZH2 and the histone family gene such as H3C2 (H3-clustered histone 2) in SNUC tumor cells. Additionally, gene set enrichment analysis identified significant activations in the histone deacetylase (HDAC) signaling pathway, histone acetyltransferase (HAT) pathway, polycomb repressive complex 2 (PRC2), and DNA methylation pathways. A notable decrease was observed in downregulated genes and pathways, including the mucin family of protein genes, the keratin protein gene, and the mucin glycosylation pathway. Next-generation sequencing did not reveal specific genetic mutations within these pathways, although mutations such as IDH2 R172S were noted. Clinical SNUC tissues confirmed increased immunoexpression of EZH2 and PRC2 markers. Analysis of tumor immunity revealed a characteristic immune cell signature, with a notable predominance of naïve B cells, macrophages, CD8 memory T cells, and Tregs in the SNUC microenvironment, alongside the increased expression of LAG3 in tumor-infiltrating immune cells.

Conclusion

Our study suggests epigenetic mechanisms, particularly via EZH2, play a crucial role in SNUC carcinogenesis. Furthermore, distinctive immune cell profiles in SNUC point to potential immune-related characteristics of this malignancy.

Background

BC001 is a novel fully human immunoglobulin G1 monoclonal antibody blocking VEGFR2. This phase I study aimed to assess BC001 alone and plus chemotherapy in solid tumors.

Methods

In dose escalation part, BC001 was assessed at dose levels of 2, 4, 8, 12, 16 mg/kg on day 1,15, every 28 days, followed an accelerated titration and “3 + 3” design. BC001 plus paclitaxel was assessed at dose level of 8, 10 mg/kg. The primary endpoints included the DLT, MTD and RDE of BC001. In dose expansion part, it aimed to assess the anti-tumor activity of BC001 alone and plus chemotherapy in gastric cancer as 2nd line treatment.

Results

Overall, 53 patients were finally enrolled in this study (phase Ia, n = 28; phase Ib, n = 25). In phase Ia part, 1 DLT (grade 4 neutropenia lasting 4 days) was observed in BC001(8 mg/kg) plus paclitaxel cohort. MTD was not reached. All patients experienced TEAEs of any grade. Twenty-four of them suffered ≥ grade 3 TEAEs. leukopenia (n = 33, 62.3%), hemoglobin decreased (n = 32, 60.4%), neutropenia (n = 29, 54.7%) were commonly observed hematological toxicities. The half-life of 140-240 h. And the PK parameters were not largely influenced by combination with paclitaxel. The serum sVEGFR-1, VEGF-A, sVEGFR-2 could not predict the efficacy. Based on the safety, PK and efficacy data, BC001 of 8 mg/kg was determined as RED. Among the GC patients(n = 21) who receiving BC001 plus paclitaxel as 2nd-line treatment in phase 1b part, 6 patients achieved PR and 10 patients experienced SD. The ORR was 28.6% (95% CI 11.3%, 52.2%) and the DCR was 76.2% (95% CI 52.8%, 91.8%), with the median PFS of 5.4 months (95% CI 1.9, 7.0) and OS of 9.4 months (95% CI 5.4, NA). The median DoR was 5.1 months (95% CI 2.6, NA).

Conclusions

BC001 showed acceptable safety profile and preliminary response in both single-agent and combination with chemotherapy cohorts, especially in GC.

Background

The objective of this study was to investigate the expression levels and biological significance of CKS2 in Burkitt cell lymphoma (BL) and diffuse large B-cell lymphoma (DLBCL). Additionally, the potential synergistic anti-tumor effects of CKS2 knockdown in combination with etoposide in BL and DLBCL were explored for the first time.

Methods

Bioinformatics analysis was utilized to explore the transcriptional levels, prognostic value, and gene function enrichment of CKS2 in BL and DLBCL. Specific shRNA sequences were designed to target CKS2 for the purpose of constructing a lentiviral expression vector, and therapeutic effects were assessed through analyses of cell proliferation, cell cycle distribution, and cell apoptosis.

Results

First, the study examined the increased transcriptional and protein levels of CKS2 in BL and DLBCL through analysis of various databases and immunohistochemistry tests. Elevated CKS2 expression was found to be correlated with a worse prognosis in BL and DLBCL patients, as evidenced by data from the TCGA and GEO databases. Enrichment analysis indicated that CKS2 functions were primarily linked to protein kinase regulatory activity, G1/S phase transition of the cell cycle, and the p53 signaling pathway, among others. Second, stable suppression of CKS2 gene expression in Raji and SUDHL6 cells using shRNA resulted in a significant inhibition of cell proliferation. Moreover, CKS2-shRNA induced G0/G1 cell cycle arrest and apoptosis by activating the p53 signaling pathway in Raji and SUDHL6 cells. Third, the combined treatment of CKS2-shRNA and etoposide exhibited a synergistic effect on the proliferation and apoptosis of Raji and SUDHL6 cells.

Conclusions

Our findings suggest that CKS2 may play a critical role in the progression of BL and DLBCL and provide evidence for the potential therapeutic application of combining CKS2-shRNA and etoposide agents in the treatment of BL and DLBCL.

Background

Comorbidity could influence cancer diagnosis, treatment, prognosis, or survival. Although comorbidity burden in kidney cancer patients is high, limited evidence exists on the longitudinal patterns of individual comorbidity prevalence and its impact on overall survival among kidney cancer patients, particularly in Asian populations.

Methods

We included adults diagnosed with kidney cancer between 2010 and 2021 using the Korean nationwide health insurance database. Comorbidities assessed were any 1 of 19 specific medical conditions, diagnosed within 1 year prior to cancer diagnosis. We calculated the incidence and age-standardized incidence rate of kidney cancer, prevalence of individual medical conditions as single or multiple comorbidities, and overall survival probability of kidney cancer patients over a 12-year period. We estimated the odds ratio (OR) of having individual and multiple comorbidities with age and sex as independent covariates and adjusted for other comorbidities. Kaplan–Meier curves were used for overall survival at different time frames up to 5 years of follow-up.

Results

Among kidney cancer patients (N = 42,740), 68.7% were men, and median (interquartile range) age was 59 (49–68) years. Approximately 76% of patients had at least one comorbidity at the time of cancer diagnosis. Overall, hypertension (51.3%), dyslipidemia (40.2%), mild liver disease (27.4%), diabetes (25.1%), and peptic ulcer disease (18.9%) were the most prevalent comorbidities. The proportion of patients having three or more comorbidities continuously increased from 2010 (29.4%) to 2021 (44.9%). Having more comorbidities was associated with a lower probability of overall survival.

Conclusion

Comorbidities were prevalent in kidney cancer patients, and the proportions of patients with multiple conditions increased over time. Although survival probability increased over time, it was attenuated by having more comorbidities. Our data emphasizes the importance of comprehensive management for both cancer and comorbid conditions in kidney cancer patients.

Background

Despite advances made in targeted biomarker-based therapy for acute myeloid leukemia (AML) treatment, remission is often short and followed by relapse and acquired resistance. Functional precision medicine (FPM) efforts have been shown to improve therapy selection guidance by incorporating comprehensive biological data to tailor individual treatment. However, effectively managing complex biological data, while also ensuring rapid conversion of actionable insights into clinical utility remains challenging.

Methods

We have evaluated the clinical applicability of quadratic phenotypic optimization platform (QPOP), to predict clinical response to combination therapies in AML and reveal patient-centric insights into combination therapy sensitivities. In this prospective study, 51 primary samples from newly diagnosed (ND) or refractory/relapsed (R/R) AML patients were evaluated by QPOP following ex vivo drug testing.

Results

Individualized drug sensitivity reports were generated in 55/63 (87.3%) patient samples with a median turnaround time of 5 (4–10) days from sample collection to report generation. To evaluate clinical feasibility, QPOP-predicted response was compared to clinical treatment outcomes and indicated concordant results with 83.3% sensitivity and 90.9% specificity and an overall 86.2% accuracy. Serial QPOP analysis in a FLT3-mutant patient sample indicated decreased FLT3 inhibitor (FLT3i) sensitivity, which is concordant with increasing FLT3 allelic burden and drug resistance development. Forkhead box M1 (FOXM1)—AKT signaling was subsequently identified to contribute to resistance to FLT3i.

Conclusion

Overall, this study demonstrates the feasibility of applying QPOP as a functional combinatorial precision medicine platform to predict therapeutic sensitivities in AML and provides the basis for prospective clinical trials evaluating ex vivo-guided combination therapy.

Background

Triple-negative breast cancer (TNBC) is a heterogeneous disease characterized by high aggressiveness, high malignancy, and poor prognosis compared to other breast cancer subtypes.

Objective

This review aims to explore recent advances in understanding TNBC and to provide new insights and potential references for clinical treatment.

Methods

We examined current literature on TNBC to analyze molecular subtypes, genetic mutations, signaling pathways, mechanisms of drug resistance, and emerging therapies.

Results

Findings highlight key aspects of TNBC's molecular subtypes, relevant mutations, and pathways, alongside emerging treatments that target drug resistance mechanisms.

Conclusion

These insights into TNBC pathogenesis may help guide future therapeutic strategies and improve clinical outcomes for patients with TNBC.

Introduction

The aim of this study was to find the most appropriate variables to input into machine learning algorithms to identify those patients with primary lung malignancy with high risk for metastasis to the bone.

Patient Inclusion

Patients with either histological or radiological diagnoses of lung cancer were included in this study.

Results

The patient cohort comprised 1864 patients diagnosed from 2016 to 2021. A total of 25 variables were considered as potential risk factors. These variables have been identified in previous studies as independent risk factors for bone metastasis. Treatment methods for lung cancer were taken into account during model development. The outcome variable was binary, (presence or absence of bone metastasis) with follow-up until death or 12-month survival, whichever is the sooner. Results showed that American Joint Committee on Cancer staging, the use of EGFR inhibitor, age, T-staging, and lymphovascular invasion were the five input features contributing the most to the model algorithm. High AJCC staging (OR 1.98; p < 0.05), the use of EGFR inhibitor (OR 6.14; p < 0.05), high T-staging (OR 1.47; p < 0.05), and the presence of lymphovascular invasion (OR 4.92; p < 0.05) increase predicted risk of bone metastasis. Conversely, older age reduces predicted bone metastasis risk (OR 0.98; p < 0.05).

Conclusion

The machine learning model developed in this study can be easily incorporated into the hospital's Clinical Management System so that input variables can be immediately utilized to give an accurate prediction of bone metastatic risk, therefore informing clinicians on the best treatment strategy for that individual patient.

Background

We aimed to examine the effectiveness of a nurse-led, screening-triggered early specialized palliative care intervention program for patients with advanced lung cancer.

Methods

Patients with advanced lung cancer who underwent initial chemotherapy were randomized to intervention and usual care groups between January 2017 and September 2019. The intervention comprised comprehensive needs assessments, counseling, and service coordination by advanced-level nurses. Patients in the usual care group received the usual oncological care. The primary end point was a change in the trial outcome index (TOI) scores from baseline to 12 weeks. The secondary end-points were TOI scores at week 20, depression, anxiety, and survival.

Results

In total, 102 patients were assigned to each group. Compared with the usual care group, no significant improvement in TOI scores was observed at 12 weeks in the intervention group (mean group difference: 2.13; 90% confidence interval: −0.70, 4.95; p = 0.107, one-sided), whereas significant improvement was observed at 20 weeks (3.58; 90% confidence interval: 0.15, 7.00; p = 0.043). There were no significant differences in the change from baseline depression and anxiety between the groups from baseline at week 12 and 20 weeks (depression: p = 0.60 and 0.10, anxiety: p = 0.78 and 0.067). Survival did not significantly differ between the groups (median survival time: 12.1 vs. 11.1 months; p = 0.302).

Conclusions

Nurse-led, screening-triggered, early specialized palliative care did not show significant superiority over usual care during the 12-week study period. However, it may have yielded delayed clinical benefits, such as improved quality of life and this feasible model can be acceptable in clinical practice.

Trial Registration: The University Hospital Medical Information Network Clinical Trials Registry: UMIN000025491