Current Cancer Drug Targets - Online First

There is a relative lack of real-world data regarding the treatment of advanced squamous cell lung cancer (SqCLC) with anlotinib.

This study aimed to investigate the clinical efficacy and safety of combining anlotinib with ICIs for the treatment of advanced SqCLC.

Sixty patients with advanced SqCLC from December, 2017 to December, 2022, were retrospectively recruited in the final analysis. The overall survival (OS), adverse events (AEs), and short-term clinical effectiveness, including complete remission (CR), partial remission (PR), stable disease (SD), and progression disease (PD) of the study populations, were observed. Objective response rate (ORR) was defined as the combined percentage of CR and PR in all patients. Disease control rate (DCR) was defined as the combined percentage of CR, PR, and SD in all patients. Subgroups were classified based on age (<65 or ≥65), sex (female or male), and the eastern cooperative oncology group (ECOG) score (0-1 or 1-2).

The median age of the study population was 65 years, and 41 (68.3%) of the participants were male. ORR was 21.67%, and DCR was 83.33%. The median PFS and OS were 7.5 and 19.5 months, respectively. Furthermore, the Kaplan-Meier curves demonstrated no significant difference (P >0.05) in PFS and OS between different age groups, sex, and ECOG scores. Bone marrow suppression was the most common AE, followed by immune pneumonia.

The findings of this study confirmed the effectiveness and safety of anlotinib and ICIs for advanced SqCLC.

Gastrointestinal (GI) cancers represent some of the most common and lethal malignancies globally, underscoring the urgent need for improved diagnostic strategies. Traditional diagnostic methods, while effective to some degree, are often invasive and unsuitable for regular screenings.

This review article explores integrating machine learning (ML) with liquid biopsy techniques as a revolutionary approach to enhance the detection and monitoring of GI cancers. Liquid biopsies offer a non-invasive alternative for cancer detection through the analysis of circulating tumor DNA (ctDNA) and other biomarkers, which when combined with ML, can significantly improve diagnostic accuracy and patient outcomes.

We conducted a comprehensive review of recent advancements in liquid biopsy and ML, focusing on their synergistic potential in the early detection of GI cancers. The review addresses the application of next-generation sequencing and digital droplet PCR in enhancing the sensitivity and specificity of liquid biopsies.

Machine learning algorithms have demonstrated remarkable ability in navigating complex datasets and identifying diagnostically significant patterns in ctDNA and other circulating biomarkers. Innovations such as machine learning-enhanced “fragmentomics” and tomographic phase imaging flow cytometry illustrate significant strides in non-invasive cancer diagnostics, offering enhanced detection capabilities with high accuracy.

The integration of ML in liquid biopsy represents a transformative step in the early detection and personalized treatment of GI cancers. Future research should focus on overcoming current limitations, such as the heterogeneity of tumor-derived genetic materials and the standardization of liquid biopsy protocols, to fully realize the potential of this technology in clinical settings.

Data sourced from the Surveillance, Epidemiology, and End Results (SEER) database encompassing liver cancer diagnoses from 2000 to 2017 were utilized. The standardized mortality rate (SMR) was computed using general population reference data, and multivariate competing risk models were employed for analysis.

Analysis of 70,733 liver cancer patient records revealed 1,954 instances of CVM. The overall CVM SMR for liver cancer patients was 12.01 (95% CI: 11.48-12.55). Various demographic and clinical factors, including sex, race, age, year of diagnosis, pathological type, general stage, treatment modalities, and matrimonial status, emerged as liver cancer patients` independent predictors of CVM.

Liver cancer patients have a notably heightened susceptibility to cardiovascular mortality (CVM) in contrast to the general populace. It is imperative to promptly recognize high-risk subcategories and execute tailored cardiovascular interventions as crucial measures to bolster survival rates within this cohort of patients.

Lung cancer causes hundreds of thousands of deaths each year worldwide. FHOD3 was reported to accelerate the progression of brain cancer. However, its role in lung cancer is not clear. This study aimed to investigate the role of FHOD3 in lung cancer.

The clinical significance of FHOD3 in lung cancer was analyzed based on the data from the TCGA database. The expression level of FHOD3 was detected by qPCR technology. Cell proliferation was detected by CCK-8 assay, and cell invasion was detected by transwell assay. The activity of caspase-3 was determined by the ELISA method, cell apoptosis was identified by TUNEL assay, and protein expression was measured by western blotting technology.

Based on the TCGA data, FHOD3 was overexpressed in tumor tissues compared to the normal tissues. Patients with higher FHOD3 expression exhibited a worse survival rate. The expression levels of FHOD3 in lung cancer cell lines were much higher than that in normal cells. When FHOD3 was knocked down, the ability of cell proliferation and invasion was significantly inhibited. Cell apoptosis rate was increased reversely. The activity of caspase-3 was increased significantly. In addition, the expression level of cleaved caspase-3 was increased. The expression levels of Bax, caspase-8, and ICAD were also increased significantly. However, the expression of antiapoptotic molecule Bcl-2 was decreased reversely. This suggests that the caspase-3-mediated apoptosis signaling pathway was activated by FHOD3 knockdown.

FHOD3 was overexpressed and negatively associated with survival rate in lung cancer patients. FHOD3 regulates cell proliferation, invasion, and apoptosis through the caspase-3-mediated signaling pathway. This study indicates that FHOD3 is an important gene contributing to the progression of lung cancer and might be a new drug target for the therapy of lung cancer.

Neuroblastoma (NB) is a well-known pediatric malignancy intertwined with neurodevelopment. Previously implicated in neuronal differentiation, Zinc Finger Protein 536 (ZNF536) has emerged as a promising prognostic and immune-related biomarker in our pan-cancer analysis.

Single-cell RNA transcriptome sequencing, bulk transcriptome analysis, and immunohistochemistry were used to assess ZNF536 expression and its association with prognosis. Cell proliferation, migration, invasion, and differentiation in ZNF536-knockdown NB cell lines were detected to evaluate the effect of ZNF536 on tumor cells. Vascular Endothelial Growth Factor Receptor 2 (VEGFR2), a potential target of ZNF536, and its downstream PI3K/AKT signaling cascade were investigated using transcriptome sequencing, CUT&Tag, quantitative real-time PCR (qRT-PCR), and Western blotting. The role of ZNF536 in tumorigenesis and the potential regulation axis was evaluated in vivo using a BALB/c nude mouse xenograft tumor model.

ZNF536 mRNA and protein expression were significantly higher in NB patients with poor prognosis. In vitro, ZNF536 knockdown curtailed proliferation, migration, and invasion of NB cells while fostering differentiation. ZNF536 regulated VEGFR2 expression, thus activating the PI3K-AKT pathway. In vivo, ZNF536 knockdown reduced tumor growth and proliferation via the VEGFR2-PI3K-AKT pathway.

ZNF536 resulted as a novel prognostic biomarker in NB, promoting oncogenesis through VEGFR2-PI3K-AKT signaling axis modulation, suggesting its therapeutic potential in managing NB progression.

Apatinib, a tyrosine-kinase inhibitor that targets the vascular endothelial growth factor receptor 2, contributes to the inhibition of angiogenesis. Vinorelbine, a semisynthetic vinca alkaloid, primarily inhibits metaphase mitosis of cancer cells through its interactions with tubulin. This study aimed to evaluate whether apatinib combined with vinorelbine was effective and safe for refractory human epidermal growth factor receptor 2 (HER2)-negative breast cancer patients who failed taxanes and/or anthracycline and analyze the possible mechanism of drug resistance through metabolomic analysis.

Eligible patients were HER2-negative, inoperable, locally advanced, or metastatic breast cancer patients who progressed after at least one chemotherapy regimen in this present prospective phase II study. Patients took oral apatinib (250-500 mg/day) plus intravenous infusion of vinorelbine (25 mg/m² on day 1, day 8 at 3-week intervals). Objective response rate (ORR) was our primary endpoint, while disease control rate (DCR), overall survival (OS), progression-free survival (PFS), and toxicity were our secondary endpoints. The exploratory purpose was to identify biomarkers or drug resistance mechanisms through metabolomics changes before and after the combination therapy.

Between September, 2019 and June, 2022, a total of 34 patients were included. ORR and DCR were 32.4% (11/34) and 85.3% (29/34), respectively. The median PFS was 5.0 months (95% CI, 3.766-6.234), while the median OS was 13.0 months (95% CI, 8.714-17.286). Side effects included hematologic toxicity, gastrointestinal reaction, and sinus tachycardia, which were mild to moderate. The mainly disturbed metabolic pathways were the cAMP signaling pathway, the alanine/aspartate/glutamate metabolism, the central carbon metabolism in cancer, the beta-alanine metabolism, the butanoate metabolism, and the glyoxylate and dicarboxylate metabolism, which may lead to the resistance of patients to this combination therapy.

Apatinib combined with vinorelbine is effective and safe in patients with locally advanced or metastatic refractory HER2-negative breast cancer. The findings of this study contribute to a better understanding of the metabolic effect of apatinib and vinorelbine therapy.

ChiCTR1900025659.

This study aimed to investigate the expression pattern of phosphatidylinositol 3-kinase class III (PIK3C3/vps34) in gastric cancer (GC) tissues and their juxtaposed normal counterparts and its correlation with the clinicopathological attributes and prognostic outlook of afflicted individuals.

Immunohistochemical (IHC) staining was used to ascertain the expression levels of PIK3C3/vps34 across 60 GC tissues juxtaposed with their normal counterparts. Statistical methodologies were used to scrutinize the correlation between PIK3C3/vps34 expression and clinicopathological features, along with prognostic implications for GC patients.

In GC tissues, the positive expression rate of PIK3C3/vps34 was 23.3% (14/60), which contrasted sharply with the markedly elevated rate of 66.7% (40/60) observed in adjacent tissues. The positive expression proportion of PIK3C3/vps34 within GC tissues exhibited a notable decrease than in adjacent tissues (P < 0.05). The expression of PIK3C3/vps34 inversely correlated with tumor size, degree of tissue differentiation, depth of tumor infiltration, and incidence of lymph node metastasis (P < 0.05), whereas no significant associations were found with patient sex, age, tumor location, TNM staging, or distant metastasis (P > 0.05). As the tumor diameter increases, the degree of tissue differentiation diminishes, tumor infiltration depth intensifies, lymph node metastasis emerges, the TNM stage progresses, and PIK3C3/vps34 expression level within GC tissues declines correspondingly. Kaplan-Meier survival analysis unveiled a prolonged survival duration among GC patients exhibiting heightened PIK3C3/vps34 expression than in their counterparts with diminished expression (HR=0.66, 95% CI: 0.55-0.80), demonstrating statistical significance (P < 0.05). Protein interaction analysis revealed noteworthy interactions involving PIK3C3 with Beclin 1, UVRAG, and ATG14.

PIK3C3/vps34 is downregulated in GC tissues, exerting a pivotal role in tumorigenesis, and is intimately linked with the prognostic trajectory of GC patients. It may serve as a significant biomarker for prognostic evaluation and a promising molecular therapeutic target for GC.