CT radiomics analysis discriminates pulmonary lesions in patients with pulmonary MALT lymphoma and non-pulmonary MALT lymphoma.

PURPOSE: The aim of this study is to create and validate a radiomics model based on CT scans, enabling the distinction between pulmonary mucosa-associated lymphoid tissue (MALT) lymphoma and other pulmonary lesion causes. METHODS: Patients diagnosed with primary pulmonary MALT lymphoma and lung infections at Fuzhou Pulmonary Hospital were randomly assigned to either a training group or a validation group. Meanwhile, individuals diagnosed with primary pulmonary MALT lymphoma and lung infections at Fujian Provincial Cancer Hospital were chosen as the external test group. We employed ITK-SNAP software for delineating the Region of Interest (ROI) within the images. Subsequently, we extracted radiomics features and convolutional neural networks using PyRadiomics, a component of the Onekey AI software suite. Relevant radiomic features were selected to build an intelligent diagnostic prediction model utilizing CT images, and the model's efficacy was assessed in both the validation group and the external test group. RESULTS: Leveraging radiomics, ten distinct features were carefully chosen for analysis. Subsequently, this study employed the machine learning techniques of Logistic Regression (LR), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN) to construct models using these ten selected radiomics features within the training groups. Among these, SVM exhibited the highest performance, achieving an accuracy of 0.868, 0.870, and 0.90 on the training, validation, and external testing groups, respectively. For LR, the accuracy was 0.837, 0.863, and 0.90 on the training, validation, and external testing groups, respectively. For KNN, the accuracy was 0.884, 0.859, and 0.790 on the training, validation, and external testing groups, respectively. CONCLUSION: We established a noninvasive radiomics model utilizing CT imaging to diagnose pulmonary MALT lymphoma associated with pulmonary lesions. This model presents a promising adjunct tool to enhance diagnostic specificity for pulmonary MALT lymphoma, particularly in populations where pulmonary lesion changes may be attributed to other causes.

Anti-angiogenic agents combined with immunotherapy for advanced non-small cell lung cancer: a systematic review and meta-analysis.

BACKGROUND: Anti-angiogenic agents could enhance tumor immunity response, and anti-angiogenesis plus immunotherapy has become a novel treatment option for advanced non-small cell lung cancer (NSCLC). The efficacy of this combination therapy remains controversial and obscure. AIM: We conducted a meta-analysis to evaluate the clinical efficacy and safety of this therapeutic strategy in patients with advanced NSCLC and provide more guidance for treating NSCLC clinically. METHODS: A systematic literature search was performed in PubMed, Embase, Web of Science, CNKI, and Wanfang databases to identify relevant studies published up to December 2021. The primary endpoint was the objective response rate (ORR). Second endpoints were progression-free survival (PFS), overall survival (OS), and grade ≥3 AEs adverse events (AEs). The sensitivity analysis was conducted to confirm the stability of the results. STATA 15.0 was utilized for all pooled analyses. RESULTS: Eleven studies were eventually included in the meta-analysis, involving 533 patients with advanced NSCLC. The pooled ORR rate was 27% (95% CI 18% to 35%; I2 =84.2%; p<0.001), while the pooled median PFS and OS was 5.84 months (95% CI 4.66 to 7.03 months; I2=78.4%; p<0.001) and 14.20 months (95% CI 11.08 to 17.32 months; I2=82.2%; p=0.001), respectively. Most common grade ≥3 AEs included hypertension, hand-foot syndrome, diarrhea, adrenal insufficiency, hyponatremia, proteinuria, rash, thrombocytopenia, and fatigue. CONCLUSION: Anti-angiogenesis combined with immunotherapy demonstrated satisfactory antitumor activity and an acceptable toxicity profile in patients with advanced NSCLC. The pooled results of our meta-analysis provided further evidence supporting the favorable efficacy and safety of this therapeutic strategy.

Prognostic and Immunological Significance of FUNDC1 in Hepatocellular Carcinoma: A Study on TCGA Mining.

Background: Hepatocellular carcinoma (HCC) is an inflammation-related malignancy influenced by the immune microenvironment, such as immune tolerance and evasion. HFUN14 domain-with protein 1 (FUNDC1) is a necessary mitochondrial outer membrane protein, functioning as a receptor for hypoxia-caused mitophagy, which is related to human immunity. The relationship between HCC and FUNDC1 in terms of prognosis and immunology was demonstrated in the current investigation. Even so, the function of FUNDC1 in liver cancer is yet unknown. Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets were utilized for examining if FUNDC1 expression is associated with clinicopathological characteristics and prognosis. Genetic changes (mutation), DNA methylation, and their relationship with patient prognosis were identified by cBioPortal and MethSurv. Utilizing the Tumor Immune Estimation Resource (TIMER), immune checkpoints, infiltration, and immune cell biomarkers were analyzed. Utilizing the STRING database, the network of protein-protein interactions was created. Using Gene Set Enrichment Analysis, the FUNDC1 biological roles were determined (GSEA). Results: FUNDC1 elevation was significantly linked with gender (p < 0.001), tumor stage (p = 0.01349), tumor grade (p < 0.001), and alpha-fetoprotein (AFP) (p < 0.001) levels in HCC. It was illustrated by ROC curve analysis that FUNDC1 had a significant diagnostic and prognostic value. The FUNDC1 genetic change rate was 0.6%. Four out of 6 DNA methylation CpG sites were associated with the HCC prognosis. FUNDC1 is associated strongly with immune cell infiltration in HCC. Moreover, FUNDC1 was positively related to immune checkpoints such as mutant-allele tumor heterogeneity (MATH) (p < 0.001), ploidy (p < 0.05), homologous recombination defect (HRD) (p < 0.001), and loss of heterozygosity (LOH). GSEA revealed significant FUNDC1 enrichment in the cell cycle, hedgehog, and MAPK signaling pathways. Conclusion: FUNDC1 is a mitophagy regulator that could be a therapeutic, prognostic, and putative diagnostic biomarker for HCC.

Clinical analysis of anlotinib as first-line treatment for elderly patients with advanced lung adenocarcinoma without driver gene mutations.

This retrospective study was conducted to explore the effects of anlotinib as first-line treatment for patients with advanced lung adenocarcinoma. We retrospectively reviewed medical records of 60 patients with advanced lung adenocarcinoma, admitted to the Fuzhou Pulmonary Hospital between August 2018 and December 2019. We calculated and recorded the objective remission rate (ORR), disease control rate (DCR), adverse reactions, quality of life assessment, progression-free survival (PFS) and overall survival (OS) for each group. We applied χ2, Mann-Whitney U test, Kaplan-Meier and log-rank statistical methods as appropriate to analyze the data. We found no statistically significant differences in either ORR (17.5 vs. 15%) or DCR (67.5 vs. 65.5%) between the anlotinib and pemetrexed groups (P > 0.05). The adverse reactions graded ≥3 in the anlotinib group were fatigue and diarrhea and they accounted for 5% of all the adverse reactions in the group. The patients in the anlotinib group presented better physical, role, cognitive, emotional, and social functions than those in the pemetrexed group (P < 0.05). The symptoms of fatigue, nausea and vomiting, loss of appetite and constipation in the anlotinib group were significantly less frequent than those in the pemetrexed group (P < 0.05). We found similar median PFSs (3.0 vs. 2.8 months) and median OSs (7.0 vs. 7.0 months) in both treatment groups (P > 0.05). The choice of anlotinib as first-line chemotherapy for treating elderly patients with advanced lung adenocarcinoma was effective, safe; the treatment was better than other drugs at improving the patients' quality of life.

High-biologically effective dose palliative radiotherapy for a tumor thrombus might improve the long-term prognosis of hepatocellular carcinoma: a retrospective study.

BACKGROUND: This study aimed to highlight the type of tumor thrombus and identify the prognostic factors influencing the long-term survival outcomes in patients with hepatocellular carcinoma (HCC) having a tumor thrombus. A tumor thrombus in HCC is associated with poor prognosis. METHODS: Eighty patients diagnosed with HCC having a tumor thrombus between May 2006 and April 2014 were enrolled in this study. Age, gender, clinical characteristics, laboratory findings, Child-Pugh classification, performance status (ECOG), types of tumor thrombi, radiotherapy method, biologically effective dose (BED), and primary treatment method were analyzed to identify the prognostic factors associated with the overall survival (OS) rates. Statistical analyses were performed using SPSS version 19.0. RESULTS: The median follow-up duration was 24 months (range 6-90). The 1-, 3-, and 5-year OS rates of the patients were 77.6%, 37.6%, and 18.8%, respectively. On univariate analysis, gender, radiotherapy method, BED, types of tumor thrombi, Child-Pugh classification, ECOG, and total bilirubin were associated with OS (P < 0.001, P = 0.001, P = 0.016, P = 0.003, P < 0.001, P < 0.001, P = 0.039, respectively). The prognostic factors for OS in multi-variate analyses were gender (P < 0.001), BED (P = 0.044), Child Pugh classification (P = 0.020), performance status (ECOG) (P = 0.004), and types of tumor thrombi (P = 0.001). The median OS for the high-BED group was better than that for the low-BED groups (42 months vs. 19 months, P = 0.016). CONCLUSIONS: Gender, BED, performance status (ECOG), Child-Pugh classification, and types of tumor thrombi seemed to affect OS, and a stepwise decrease in survival was observed with the types of tumor thrombi ranging from I to IV. High-BED palliative radiotherapy might improve the long-term outcomes for patients with HCC having a tumor thrombus.

Radiation-Guided Peptide Delivery in a Mouse Model of Nasopharyngeal Carcinoma.

Purpose. This study aimed to evaluate the characteristics of the HVGGSSV peptide, exploring radiation-guided delivery in a mouse model of nasopharyngeal carcinoma. Methods. Mice with CNE-1 nasopharyngeal carcinoma were assigned to two different groups treated with Cy7-NHS and Cy7-HVGGSSV, respectively. Meanwhile, each mouse received a single dose of 3 Gy radiation. Biological distribution of the recombinant peptide was assessed on an in vivo small animal imaging system. Results. The experimental group showed maximum fluorescence intensity in irradiated tumors treated with Cy7-labeled HVGGSSV, while untreated (0 Gy) control tumors showed lower intensity levels. Fluorescence intensities of tumors in the right hind limbs of experimental animals were 7.84 × 107 ± 1.13 × 107, 1.35 × 108 ± 2.66 × 107, 4.05 × 108 ± 1.75 × 107, 5.57 × 108 ± 3.47 × 107, and 9.26 × 107 ± 1.73 × 107 photons/s/cm2 higher compared with left hind limb values at 1, 2, 15, 24, and 48 h, respectively. Fluorescence intensities of tumor in the right hind limbs of the experimental group were 1.66 × 108 ± 1.71 × 107, 1.51 × 108 ± 3.23 × 107, 5.38 × 108 ± 1.96 × 107, 5.89 × 108 ± 3.57 × 107, and 1.62 × 108 ± 1.69 × 107 photons/s/cm2 higher compared with control group values at 1, 2, 15, 24, and 48 h, respectively. Fluorescence was not specifically distributed in the control group. Compared with low fluorescence intensity in the heart, lungs, and tumors, high fluorescence distribution was found in the liver and kidney at 48 h. Conclusions. HVGGSSV was selectively bound to irradiated nasopharyngeal carcinoma, acting as a targeting transport carrier for radiation-guided drugs that are mainly metabolized in the kidney and liver.