Upregulation of CoQ shifts ferroptosis dependence from GPX4 to FSP1 in acquired radioresistance.

Acquired radioresistance is the primary contributor to treatment failure of radiotherapy, with ferroptosis is identified as a significant mechanism underlying cell death during radiotherapy. Although resistance to ferroptosis has been observed in both clinical samples of radioresistant cells and cell models, its mechanism remains unidentified. Herein, our investigation revealed that radioresistant cells exhibited greater tolerance to Glutathione Peroxidase 4 (GPX4) inhibitors and, conversely, increased sensitivity to ferroptosis suppressor protein 1 (FSP1) inhibitors compared to their sensitive counterparts. This observation suggested that FSP1 might play a dominant role in the development of radioresistance. Notably, the knockout of FSP1 demonstrated considerably superior efficacy in resensitizing cells to radiotherapy compared to the knockout of GPX4. To elucidate the driving force behind this functional shift, we conducted a metabolomic assay, which revealed an upregulation of Coenzyme Q (CoQ) synthesis and a downregulation of glutathione synthesis in the acquired radioresistance cells. Mechanistically, CoQ synthesis was found to be supported by aarF domain containing kinase 3-mediated phosphorylation of CoQ synthases, while the downregulation of Solute carrier family 7 member 11 led to decreased glutathione synthesis. Remarkably, our retrospective analysis of clinical response data further validated that the additional administration of statin during radiotherapy, which could impede CoQ production, effectively resensitized radioresistant cells to radiation. In summary, our findings demonstrate a dependency shift from GPX4 to FSP1 driven by altered metabolite synthesis during the acquisition of radioresistance. Moreover, we provide a promising therapeutic strategy for reversing radioresistance by inhibiting the FSP1-CoQ pathway.

Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study.

OBJECTIVE: To develop an imaging-derived biomarker for prediction of overall survival (OS) of pancreatic cancer by analyzing preoperative multiphase contrast-enhanced computed topography (CECT) using deep learning. BACKGROUND: Exploiting prognostic biomarkers for guiding neoadjuvant and adjuvant treatment decisions may potentially improve outcomes in patients with resectable pancreatic cancer. METHODS: This multicenter, retrospective study included 1516 patients with resected pancreatic ductal adenocarcinoma (PDAC) from 5 centers located in China. The discovery cohort (n=763), which included preoperative multiphase CECT scans and OS data from 2 centers, was used to construct a fully automated imaging-derived prognostic biomarker-DeepCT-PDAC-by training scalable deep segmentation and prognostic models (via self-learning) to comprehensively model the tumor-anatomy spatial relations and their appearance dynamics in multiphase CECT for OS prediction. The marker was independently tested using internal (n=574) and external validation cohorts (n=179, 3 centers) to evaluate its performance, robustness, and clinical usefulness. RESULTS: Preoperatively, DeepCT-PDAC was the strongest predictor of OS in both internal and external validation cohorts [hazard ratio (HR) for high versus low risk 2.03, 95% confidence interval (CI): 1.50-2.75; HR: 2.47, CI: 1.35-4.53] in a multivariable analysis. Postoperatively, DeepCT-PDAC remained significant in both cohorts (HR: 2.49, CI: 1.89-3.28; HR: 2.15, CI: 1.14-4.05) after adjustment for potential confounders. For margin-negative patients, adjuvant chemoradiotherapy was associated with improved OS in the subgroup with DeepCT-PDAC low risk (HR: 0.35, CI: 0.19-0.64), but did not affect OS in the subgroup with high risk. CONCLUSIONS: Deep learning-based CT imaging-derived biomarker enabled the objective and unbiased OS prediction for patients with resectable PDAC. This marker is applicable across hospitals, imaging protocols, and treatments, and has the potential to tailor neoadjuvant and adjuvant treatments at the individual level.

Radiation recall pneumonitis triggered by an immune checkpoint inhibitor following re-irradiation in a lung cancer patient: a case report.

BACKGROUND: Radiation recall pneumonitis (RRP) is unpredictable but associated with severe radiation damage in previously irradiated fields. Chemotherapy and targeted drugs have been reported to contribute to RRP. Here we report a case of a patient with non-small cell lung cancer (NSCLC) who developed RRP following administration of immune checkpoint inhibitor (ICI) 18 months after the end of re-irradiation. CASE PRESENTATION: A 69-year-old man received adjuvant chemoradiotherapy post-operatively. He underwent thoracic re-irradiation for oligometastatic NSCLC. On second recurrence, pembrolizumab combined with nab-paclitaxel were administered. After six months, he developed symptoms of persistent cough and dyspnea, with consistent pneumonitis on CT images. The clinical time frame and significant radiographic evidence raised suspicion for RRP. Symptoms resolved after steroids. CONCLUSIONS: RRP is a rare occurrence. Patients undergoing immunotherapy after prior irradiation may be at increased risk of this rare radiation pneumonitis.

Metformin Preserves VE-Cadherin in Choroid Plexus and Attenuates Hydrocephalus via VEGF/VEGFR2/p-Src in an Intraventricular Hemorrhage Rat Model.

Hydrocephalus induced by intraventricular hemorrhage (IVH) is associated with unfavorable prognosis. The increased permeability of choroid plexus and breakdown of the blood-brain barrier (BBB) was reported as a prominent mechanism of IVH-induced hydrocephalus, and vascular endothelial-cadherin (VE-cadherin) was demonstrated to be relevant. Metformin was reported to protect endothelial junction and preserve permeability widely; however, its role in hydrocephalus remains unclear. In this study, the decreased expression of VE-cadherin in the choroid plexus, accompanied with ventricle dilation, was investigated in an IVH rat model induced by intraventricular injection of autologous blood. Metformin treatment ameliorated hydrocephalus and upregulated VE-cadherin expression in choroid plexus meanwhile. We then observed that the internalization of VE-cadherin caused by the activation of vascular endothelial growth factor (VEGF) signaling after IVH was related to the occurrence of hydrocephalus, whereas it can be reversed by metformin treatment. Restraining VEGF signaling by antagonizing VEGFR2 or inhibiting Src phosphorylation increased the expression of VE-cadherin and decreased the severity of hydrocephalus after IVH. Our study demonstrated that the internalization of VE-cadherin via the activation of VEGF signaling may contribute to IVH-induced hydrocephalus, and metformin may be a potential protector via suppressing this pathway.

From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.

OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images. METHODS: In this retrospective study, an AI system was developed to automatically segment and quantify the COVID-19-infected lung regions on thick-section chest CT images. Five hundred thirty-one CT scans from 204 COVID-19 patients were collected from one appointed COVID-19 hospital. The automatically segmented lung abnormalities were compared with manual segmentation of two experienced radiologists using the Dice coefficient on a randomly selected subset (30 CT scans). Two imaging biomarkers were automatically computed, i.e., the portion of infection (POI) and the average infection HU (iHU), to assess disease severity and disease progression. The assessments were compared with patient status of diagnosis reports and key phrases extracted from radiology reports using the area under the receiver operating characteristic curve (AUC) and Cohen's kappa, respectively. RESULTS: The dice coefficient between the segmentation of the AI system and two experienced radiologists for the COVID-19-infected lung abnormalities was 0.74 ± 0.28 and 0.76 ± 0.29, respectively, which were close to the inter-observer agreement (0.79 ± 0.25). The computed two imaging biomarkers can distinguish between the severe and non-severe stages with an AUC of 0.97 (p value < 0.001). Very good agreement (κ = 0.8220) between the AI system and the radiologists was achieved on evaluating the changes in infection volumes. CONCLUSIONS: A deep learning-based AI system built on the thick-section CT imaging can accurately quantify the COVID-19-associated lung abnormalities and assess the disease severity and its progressions. KEY POINTS: • A deep learning-based AI system was able to accurately segment the infected lung regions by COVID-19 using the thick-section CT scans (Dice coefficient ≥ 0.74). • The computed imaging biomarkers were able to distinguish between the non-severe and severe COVID-19 stages (area under the receiver operating characteristic curve 0.97). • The infection volume changes computed by the AI system were able to assess the COVID-19 progression (Cohen's kappa 0.8220).

Stress-Induced Hyperglycemia and Remote Diffusion-Weighted Imaging Lesions in Primary Intracerebral Hemorrhage.

BACKGROUND AND PURPOSE: Stress-induced hyperglycemia (SIH) is the relative transient increase in glucose during a critical illness such as intracerebral hemorrhage (ICH) and is likely to play an important role in the pathogenesis of remote diffusion-weighted imaging (DWI) lesion (R-DWIL) in primary ICH. We sought to determine the association between SIH and the occurrence of R-DWILs. METHODS: We prospectively enrolled primary ICH patients within 14 days after onset from November 2016 to May 2018. In these patients, cerebral magnetic resonance imaging was performed within 14 days after ICH onset. R-DWIL was defined as a hyperintensity signal in DWI with corresponding hypointensity in apparent diffusion coefficient, and at least 20 mm apart from the hematoma. SIH was measured by stress-induced hyperglycemia ratio (SHR). SHR was calculated by fasting blood glucose (FBG) divided by estimated average glucose derived from glycosylated hemoglobin. The included patients were dichotomized into two groups by the 50th percentile of SHR, and named as SHR (-P50) group and SHR (P50+) group, respectively. We evaluated the association between SHR and R-DWIL occurrence using multivariable logistic regression modeling adjusted for potential confounders. RESULTS: Among the 288 patients enrolled, forty-six (16.0%) of them had one or more R-DWILs. Compared with the patients in the lower 50% of SHR (SHR [-P50]), the odds ratio (OR) [95% confidence interval (CI)] for the higher 50% of SHR (SHR [P50+]) group for R-DWIL occurrence was 3.13 (1.39-7.07) in the total population and 6.33 (2.19-18.30) in population absent of background hyperglycemia after adjusting for potential covariates. Similar results were observed after further adjusted for FBG. CONCLUSIONS: Our study demonstrated that SIH was associated with the occurrence of R-DWILs in patients with primary ICH within 14 days of symptom onset.

Association between the CYP2E1 polymorphisms and lung cancer risk: a meta-analysis.

The previous, published data on the association between CYP2E1 RsaI (rs2031920), DraI (rs6413432) polymorphisms and lung cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between lung cancer and CYP2E1 RsaI (5,074 cases and 6,828 controls from 34 studies), and CYP2E1 DraI (2,093 cases and 2,508 controls from 16 studies) in different inheritance models. Overall, significantly decreased lung cancer risk was observed (dominant model: odds ratio (OR) 0.80, 95 % confidence interval (95 % CI) 0.71-0.90; heterozygote model: OR 0.80, 95 % CI 0.70-0.90; additive model: OR 0.82, 95 % CI 0.72-0.94) when all the eligible studies were pooled into the meta-analysis of CYP2E1 RsaI polymorphism. In further stratified and sensitivity analyses, significantly decreased lung cancer risk was found among Asians (dominant model: OR 0.81, 95 % CI 0.71-0.93; heterozygous model: OR 0.81, 95 % CI 0.69-0.95), population-based studies (dominant model: OR 0.69, 95 % CI 0.54-0.88; recessive model: OR 0.39, 95 % CI 0.16-0.91; additive model: OR 0.67, 95 % CI 0.53-0.84; homozygous model: OR 0.34, 95 % CI 0.14-0.80; heterozygous model: OR 0.70, 95 % CI 0.54-0.91), hospital-based studies (dominant model: OR 0.80, 95 % CI 0.69-0.93; additive model: OR 0.84, 95 % CI 0.70-1.00; heterozygous model: OR 0.80, 95 % CI 0.68-0.95), lung AC (heterozygous model: OR 0.84, 95 % CI 0.71-1.00), smokers (dominant model: OR 0.72, 95 % CI 0.55-0.94), and non-smokers (dominant model: OR 0.74, 95 % CI 0.61-0.91). There was no significant association between CYP2E1 DraI polymorphism and the risk of lung cancer when all the eligible studies were pooled into the meta-analysis. However, in further stratified and sensitivity analyses, significant association was observed among smokers (dominant model: OR 0.49, 95 % CI 0.35-0.69). In summary, this meta-analysis indicates that CYP2E1 RsaI polymorphism is associated with lung cancer risk among Asians, CYP2E1 RsaI polymorphism may be associated with lung adenocarcinoma risk, and CYP2E1 RsaI and DraI polymorphisms may be associated with decreased lung cancer risk in smokers.

Treatment-related fatigue with everolimus and temsirolimus in patients with cancer-a meta-analysis of clinical trials.

Mammalian target of rapamycin (mTOR) inhibitors, everolimus and temsirolimus, are approved for the treatment of a variety of malignancies. Fatigue has been described with these agents as a common side effect, although the overall incidence and risk remain unclear. We performed a meta-analysis to calculate the overall incidence of fatigue in cancer patients treated with everolimus and temsirolimus and to compare the differences in incidence with placebo. The electronic databases PubMed, Embase, Web of Science, and Cochrane databases were searched for studies to include in the meta-analysis. Eligible studies were phase II and III prospective clinical trials of cancer patients treated with single drug everolimus or temsirolimus with toxicity data on fatigue. Overall incidence rates, relative risk (RR), and 95% confidence intervals (CI) were calculated employing fixed or random effects models depending on the heterogeneity of the included studies. A total of 9,760 patients with a variety of malignancies from 56 prospective clinical trials were included for the meta-analysis. The overall incidences of all-grade and high-grade fatigue in cancer patients treated with mTOR inhibitor (everolimus or temsirolimus) were 45.4% (95% CI 36.9-55.8%) and 8.7% (95% CI 7.2-10.4%), respectively. The relative risks of fatigue of mTOR inhibitor compared to placebo were increased for all-grade (RR = 1.22, 95% CI 1.08-1.38, P = 0.002) and high-grade (RR = 1.82, 95% CI 1.24-2.69, P = 0.002) fatigue. The incidence of all-grade fatigue of patients treated with everolimus was higher than those with temsirolimus (RR = 1.85, 95% CI 1.71-2.01, P < 0.001). No significant difference was detected with between everolimus and temsirolimus in terms of high-grade fatigue (RR = 1.15, 95% CI 0.94-1.41, P = 0.18). Treatment with mTOR inhibitor, everolimus and temsirolimus, is associated with an increased incidence of fatigue in patients with cancer. Early detection and management of fatigue is needed.

Meta-analysis of incidence and risk of peripheral neuropathy associated with intravenous bortezomib.

BACKGROUND: Bortezomib is a proteasome inhibitor which has demonstrated activity against recurrent or newly diagnosed multiple myeloma (MM) and mantle cell lymphoma. Peripheral neuropathy has been described with this agent, although the overall incidence and relative risk remain unclear. We performed a meta-analysis to calculate the incidence of peripheral neuropathy associated with the use of intravenous bortezomib in MM and lymphoma and to compare the relative risk compared with placebo. METHODS: We searched PubMed, Embase, Cochrane databases, and meeting proceedings from the American Society of Clinical Oncology (ASCO) for relevant clinical trials. Eligible studies included prospective phase 2 and 3 clinical trials with toxicity profile on peripheral neuropathy associated with intravenous bortezomib in patients with MM and lymphoma. Statistical analyses were done to calculate summary incidences, relative risks (RRs), and 95 % confidence intervals (CIs), employing fixed- or random-effects models depending on the heterogeneity of the included studies. RESULTS: Altogether, 34 clinical trials were selected for the meta-analysis, yielding a total of 6492 patients. The incidence of peripheral neuropathy (all grades) was 33.9 % (95 % CI, 29.9-38.5 %) and that of high-grade events was 8.1 % (95 % CI, 6.9-9.4 %). The relative risks of bortezomib-induced peripheral neuropathy compared to placebo were increased for all-grade (RR = 4.89; 95 % CI, 2.52-9.51) and high-grade (RR = 4.53; 95 % CI, 2.04-10.07) peripheral neuropathy (for randomized controlled trials only). Our analysis was also stratified by different underlying diseases, and patients with lymphoma had an increased incidence of all-grade peripheral neuropathy than those with MM when treated with intravenous bortezomib. CONCLUSIONS: Treatment with intravenous bortezomib is associated with an increased risk of developing peripheral neuropathy.

Hemorrhagic events in cancer patients treated with aflibercept: a meta-analysis.

Aflibercept (Ziv-aflibercept, VEGF Trap, AVE005) is an engineered protein that functions as a decoy receptor to bind vascular endothelial growth factor A (VEGF-A). Hemorrhagic events, including epistaxis, gastrointestinal bleeding, and pulmonary bleeding, is one of its major adverse effects, but the incidence rate and overall risk has not been systematically studied. Therefore, we conducted a meta-analysis of published clinical trials to investigate the incidence and relative risk of hemorrhagic events in cancer patients treated with aflibercept. Electronic databases including PubMed, Embase, Cochrane databases, and American Society of Clinical Oncology abstracts were searched. Eligible studies were phase II and III prospective clinical trials of cancer patients treated with aflibercept with toxicity profile on hemorrhagic events. Overall incidence rates, relative risk (RR), and 95 % confidence intervals (CI) were calculated using fixed or random effects models depending on the heterogeneity of the included studies. A total of 4,538 patients with a variety of solid tumors from 13 prospective clinical trials were included for the meta-analysis. The overall incidences of all-grade and high-grade hemorrhagic events in cancer patients were 22.1 % (95 % CI, 16.5-29.7 %) and 4.2 % (95 % CI, 3.9-4.6 %), respectively. The relative risks of hemorrhagic events of aflibercept compared to control were increased for all-grade (RR = 2.63; 95 % CI, 2.07-3.34) and high-grade (RR = 2.45, 95 % CI, 1.62-3.72) hemorrhagic events. The risk of developing high-grade hemorrhagic events with aflibercept was comparable to that of bevacizumab (RR = 1.26; 95 % CI, 0.89-1.79). Aflibercept is associated with an increased risk of developing hemorrhagic events in patients with solid tumors. Close monitoring and management of hemorrhagic events are recommended.

Association between the TP53 polymorphisms and lung cancer risk: a meta-analysis.

The previous published data on the association between TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk remained controversial. This meta-analysis of literatures was performed to derive a more precise estimation of the relationship. 38 publications with 51 studies were selected for this meta-analysis, including 17,337 cases and 16,127 controls for TP53 codon 72 (from 43 studies), 2,201 cases and 2,399 controls for TP53 intron 6 (from four studies), and 4,322 cases and 4,558 controls for TP53 intron 3 16 bp (from four studies). When all the eligible studies were pooled into the meta-analysis of codon 72 polymorphism, there was significant association between lung cancer risk and codon 72 polymorphism in any genetic model (dominant model: OR = 1.13, 95 % CI 1.05-1.21; recessive model: OR = 1.14, 95 % CI 1.02-1.27; additive model: OR = 1.19, 95 % CI 1.05-1.33). In the subgroup analysis by ethnicity, histological type, source of control, and smoking status, significantly increased risks were observed in subgroups such as Asians, Caucasians, lung squamous cell carcinoma patients for Asians, population-based study, hospital-based study, non-smokers, and smokers. When all the eligible studies were pooled into the meta-analysis of intron 6 polymorphism, there was significant association between lung cancer risk and intron 6 polymorphism in dominant model (OR = 1.27, 95 % CI 1.11-1.44). When all the eligible studies were pooled into the meta-analysis of intron 3 16 bp polymorphism, there was significant association between lung cancer risk and intron 3 16 bp polymorphism in dominant model (OR = 1.12, 95 % CI 1.02-1.23) and additive model (OR = 1.41, 95 % CI 1.04-1.90). Additionally, when one study was deleted in the sensitive analysis, the results of TP53 intron 3 16 bp duplication polymorphism were changed in the dominant model (OR = 1.11, 95 % CI 0.87-1.42) and additive model (OR = 1.01, 95 % CI 0.65-1.56). In summary, this meta-analysis indicates that codon 72 and intron 6 polymorphisms show an increased lung cancer risk. A study with the larger sample size is needed to further evaluated gene-environment interaction on TP53 codon 72, intron 6, and intron 3 16 bp polymorphisms and lung cancer risk.

The efficacy and safety of percutaneous CT-guided iodine-125 brachytherapy combined with standard chemotherapy and brachytherapy alone for lung malignant nodule: a retrospective comparative cohort study.

Background: Lung metastasis nodules and advanced-stage tumors are often considered inoperable conditions for thoracic surgery and remain major challenges to clinical decision-making. Brachytherapy has its advantages in treating localized solid tumors, which can be used in combination with other treatments to achieve good safety and efficacy. In this study, we aimed to determine the outcomes of patients who received a combination of standard chemotherapy and computed tomography (CT)-guided percutaneous brachytherapy treatment for advanced-stage lung malignant lesions. Methods: We retrospectively collected data on patients with advanced lung cancer or lung metastasis nodules who underwent percutaneous CT-guided iodine-125 (125I) brachytherapy treatment. Patients were divided into two groups: Group A (brachytherapy with chemotherapy) and Group B (brachytherapy-only). Patients were reevaluated 1 month after the operation and then followed up every 3 months. The primary endpoint of this study was overall survival. Results: Our results showed that the mean age in Group B was higher (62.32±8.79 years) than that of Group A (68.59±11.46 years; P=0.018). Patients receiving a combination of chemotherapy and brachytherapy had a median survival time of 20.5 months [95% confidence interval (CI), 16.5-24.5], while those receiving brachytherapy alone had a median survival time of 16.4 months (95% CI, 11.7-21.1) (P=0.026). Patients who received additional thermal ablation treatment and those who did not have median survival times of 16.4 (95% CI, 10.2-22.7) and 17.0 months (95% CI, 13.3-20.8) (P=0.607). The median survival time for patients with oligo lesions was 19.8 months (95% CI, 15.7-23.9), while it was 10.5 months (95% CI, 7.5-13.4) for those who had multiple lesions. Conclusions: The combination of percutaneous CT-guided 125I brachytherapy and standard chemotherapy was superior to brachytherapy alone in terms of overall survival for patients with inoperable pulmonary lesions. Our results showed no benefit from additional adjuvant thermal ablation treatment. Patients with a single oligo nodule seem to have a better prognosis than those with multiple lesions.

Dynamic change of gut microbiota in head and neck concurrent chemoradiotherapy patients and its potential value in the prediction of acute oral mucositis grade as well as quality of life.

PURPOSE: Radiotherapy is the major therapy for head and neck squamous cell carcinoma (HNSCC). However, whether gut microbiota changes in HNSCC patients who received concurrent chemoradiotherapy remains unclear. This study aimed to investigate the dynamic change of gut microbiota composition, construct the first radiotherapy-related gut microbiota database in these patients and identify the potential value of the gut microbiota changing in the prediction of acute oral mucositis grade as well as patients' life quality. METHODS: We enrolled 47 HNSCC patients who scheduled with concurrent chemoradiotherapy. The field was irradiated with a total dose of 66-70 Gy in 33-35 fractions. All the patients received 2-3 cycles of platinum-based chemotherapy. After feces specimens collected, bacterial genomic DNA was isolated using magnetic beads and then analyzed by the Illumina MiSeq Sequencing System based on the V3-V4 hypervariable regions of the 16S rRNA gene. RESULTS: 194 genera which belonged to 27 phyla were found in 141 samples. Increased abundance of microbiota in diversity and richness was observed in mid-radiotherapy group. Bacteroides, Blautia, Phascolarctobacterium were three main genera in all three groups and the mid-radiotherapy group had the highest relative abundance of Phascolarctobacterium. What is more, most significantly altered bacteria shared the same variation pattern which was increased in mid-radiotherapy while decreased to the almost same level of as pre-radiotherapy in post-radiotherapy group. Further analysis indicated that Bacteroidetes showing an upward trend while Proteobacteria declining in higher grade of acute mucositis. Moreover, relatively low abundant Proteobacteria was significantly correlated with high-grade acute oral mucositis. As for the quality of life, Lactobacillales and Actinomycetales were specifically found in better life quality group. However, Clostridia_UCG_014, Eubacteriaceae, UCG_010 and Moraxellaceae were unique abundantly present in worse life quality group. CONCLUSION: Chemoradiotherapy can affect the composition of the gut microbiota in HNSCC patients during the mid-term of treatment. Yet self-stabilized ability maintained the gut microbiota homeostasis. Dynamic change of specific species could help predict acute oral mucositis grade and characterize different quality of life group in these patients.

Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning.

Intrathoracic airway segmentation in computed tomography is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease, asthma and lung cancer. Due to the low imaging contrast and noises execrated at peripheral branches, the topological-complexity and the intra-class imbalance of airway tree, it remains challenging for deep learning-based methods to segment the complete airway tree (on extracting deeper branches). Unlike other organs with simpler shapes or topology, the airway's complex tree structure imposes an unbearable burden to generate the "ground truth" label (up to 7 or 3 hours of manual or semi-automatic annotation per case). Most of the existing airway datasets are incompletely labeled/annotated, thus limiting the completeness of computer-segmented airway. In this paper, we propose a new anatomy-aware multi-class airway segmentation method enhanced by topology-guided iterative self-learning. Based on the natural airway anatomy, we formulate a simple yet highly effective anatomy-aware multi-class segmentation task to intuitively handle the severe intra-class imbalance of the airway. To solve the incomplete labeling issue, we propose a tailored iterative self-learning scheme to segment toward the complete airway tree. For generating pseudo-labels to achieve higher sensitivity (while retaining similar specificity), we introduce a novel breakage attention map and design a topology-guided pseudo-label refinement method by iteratively connecting breaking branches commonly existed from initial pseudo-labels. Extensive experiments have been conducted on four datasets including two public challenges. The proposed method achieves the top performance in both EXACT'09 challenge using average score and ATM'22 challenge on weighted average score. In a public BAS dataset and a private lung cancer dataset, our method significantly improves previous leading approaches by extracting at least (absolute) 6.1% more detected tree length and 5.2% more tree branches, while maintaining comparable precision.

Tiam1 is associated with hepatocellular carcinoma metastasis.

We have previously demonstrated that overexpression of T lymphoma invasion and metastasis 1 (Tiam1) is correlated with poor prognosis in patients with hepatocellular carcinoma (HCC). In this study, we tried to further investigate the potential roles of Tiam1 in the progression of HCC in a larger set of samples. By detecting Tiam1 expression in 213 HCC patients, we observed that Tiam1 had a higher probability of being overexpressed in HCC patients with metastasis than those without metastasis (68.3% vs. 52.7%, p = 0.036). In addition, the cell line with high metastatic potential expressed more Tiam1 than did the cell line with low metastatic potential. Overexpression of Tiam1 was suggested to be significantly correlated with HCC metastasis. We stably upregulated Tiam1 expression in MHCC97L as well as knocked down Tiam1 expression in HCCLM6. We also investigated the effects of Tiam1 overexpression and knockdown on HCC cells proliferation, migration and invasion in vitro and on tumorigenicity and metastasis in vivo. Overexpression of Tiam1 increased proliferation, migration and invasion of MHCC97L cells, while knockdown of Tiam1 in HCCLM6 cells resulted in the reverse. In vivo functional studies showed upregulation of Tiam1 expression led to an enhancement of tumorigenicity and metastatic potential in mice. However, knockdown of Tiam1 expression exhibited nearly 2.2-fold retardation in tumor growth and great inhibition on tumor metastases. Our results indicate that Tiam1, as a metastasis-related gene, may contribute to HCC invasion and metastasis, and consequently, it may be a useful biomarker for therapeutic strategy and control in HCC treatment.

Inhibition of LAR attenuates neuroinflammation through RhoA/IRS-1/Akt signaling pathway after intracerebral hemorrhage in mice.

Leukocyte common antigen-related phosphatase (LAR) is widely expressed in the central nervous system and is known to regulate a variety of processes including cell growth, differentiation, and inflammation. However, little is currently known about LAR signaling mediated neuroinflammation after intracerebral hemorrhage (ICH). The objective of this study was to investigate the role of LAR in ICH using autologous blood injection-induced ICH mouse model. Expression of endogenous proteins, brain edema and neurological function after ICH were evaluated. Extracellular LAR peptide (ELP), an inhibitor of LAR, was administered to ICH mice and outcomes were evaluated. LAR activating-CRISPR or IRS inhibitor NT-157 was administered to elucidate the mechanism. The results showed that expressions of LAR, its endogenous agonist chondroitin sulfate proteoglycans (CSPGs) including neurocan and brevican, and downstream factor RhoA increased after ICH. Administration of ELP reduced brain edema, improved neurological function, and decreased microglia activation after ICH. ELP decreased RhoA and phosphorylated serine-IRS1, increased phosphorylated tyrosine-IRS1 and p-Akt, and attenuated neuroinflammation after ICH, which was reversed by LAR activating-CRISPR or NT-157. In conclusion, this study demonstrated that LAR contributed to neuroinflammation after ICH via RhoA/IRS-1 pathway, and ELP may be a potential therapeutic strategy to attenuate LAR mediated neuroinflammation after ICH.

Combined effect of cortical superficial siderosis and cerebral microbleed on short-term and long-term outcomes after intracerebral haemorrhage.

BACKGROUND AND PURPOSE: Cortical superficial siderosis (cSS) and cerebral microbleed (CMB) have distinct effects on intracerebral haemorrhage (ICH). We aim to investigate the combined effect of cSS and CMB on outcomes after ICH. METHODS: Based on a single-centre stroke registry database, patients with spontaneous ICH who had CT scan within 48 hours after ictus and MRI subsequently were identified. Eligible patients were divided into four groups (cSS-CMB-, cSS-CMB+, cSS+CMB-, cSS+CMB+) according to cSS and CMB on susceptibility-weighted image of MRI. Primary outcomes were haematoma volume on admission and unfavourable outcome defined as modified Rankin Scale scores ≥3 at 3 months. Secondary outcomes were all-cause death, recurrence of stroke and ICH during follow-up (median follow-up 2.0 years, IQR 1.0-3.0 years). RESULTS: A total of 673 patients were identified from 1044 patients with spontaneous ICH. 131 (19.5%) had cSS and 468 (69.5%) had CMB. Patients with cSS+CMB+ had the highest rate of poor outcome at 3 months, as well as all-cause death, recurrent stroke and ICH during follow-up. In cSS- patients, CMB was associated with smaller haematoma (ß -0.13; 95% CI -0.22 to -0.03; p=0.009), but it still increased risks of recurrent ICH (OR 4.6; 95% CI 1.3 to 15.6; p=0.015) and stroke (OR 2.0; 95% CI 1.0 to 4.0; p=0.049). These effects of CMB became unremarkable in the context of cSS+. CONCLUSIONS: Patients with different combinations of cSS and CMB have distinct patterns of short-term and long-term outcomes. Although CMB is related to restrained haematoma, it does not improve long-term outcomes. TRIAL REGISTRATION NUMBER: NCT04803292.

Association between the COMT Val158Met polymorphism and breast cancer risk: a meta-analysis of 30,199 cases and 38,922 controls.

Many studies have reported the role of COMT Val158Met with breast cancer risk, but the results remained controversial. In addition, previous meta-analysis on COMT Val158Met showed conflicting results. Hence, we performed a meta-analysis to investigate the association between breast cancer and COMT Val158Met (30,199 cases and 38,922 controls) in different inheritance models. When all the eligible studies were pooled into this meta-analysis, there was no evidence of significant association between breast cancer risk and COMT Val158Met polymorphism in any genetic model (dominant model: odds ratio [OR] = 0.99, 95% confidence interval [CI] = 0.94-1.04, P value of heterogeneity test [P(h)] = 0.009, I(2) = 36.9%; recessive model: OR = 0.97, 95% CI = 0.92-1.02, P(h) = 0.044, I(2) = 28.6%; additive model: OR = 0.98, 95% CI = 0.91-1.05, P(h) = 0.004, I(2) = 40.4%). However, significant between-study heterogeneity was detected in any genetic model. Hence, we performed the stratified analysis according to ethnicity, source of controls, menopausal status, and family history. In the stratified analysis by ethnicity significantly decreased breast cancer risk was observed in Caucasian population (recessive model: OR = 0.96, 95% CI = 0.92-1.00, P(h) = 0.419, I(2) = 3.1%). In conclusion, this meta-analysis indicates that COMT Val158Met polymorphism may be associated with decreased breast cancer risk in Caucasian population. However, a study with the larger sample size is needed to further evaluated gene-environment interaction on COMT Val158Met polymorphisms and breast cancer risk.

Bifidobacteria Was Decreased in Adult Patients With Irritable Bowel Syndrome Based on PCR and Bacterial Culture: A Systematic Review and Meta-Analysis.

The causes of irritable bowel syndrome remain unknown. Studies and meta-analyses revealed that intestinal microbiota disturbance was one of the causes of irritable bowel syndrome, but the results remained controversial. Therefore, we performed a systematic review and meta-analysis to identify the association between them. We performed a systematic meta-analysis of case-control studies from January 2000 to December 2020 to compare fecal microbes based on polymerase chain reaction and bacterial cul- ture between adult irritable bowel syndrome patients and healthy controls. The standardized mean difference value and a 95% CI were calculated. Two professional researchers used Newcastle-Ottawa Scale to reassess selected literature and extract high- quality studies. Six studies were included in our analysis. When all eligible studies were pooled into the meta-analysis, compared with healthy controls, the standardized mean differences of Bifidobacteria (standardized mean difference = -1.01, 95% CI =: -2.01 to -0.01) in irritable bowel syndrome patients decreased significantly, whereas the standardized mean differences of Enterococcus, Enterobacter, Lactobacillus, Bacteroides, and Escherichia coli did not change significantly in irritable bowel syndrome patients. However, heterogeneity was significant to perform sensitivity analysis and stratified analysis in all these special intestinal microbes. In summary, this study indicated that only Bifidobacteria was decreased in irritable bowel syndrome patients compared with healthy controls using Newcastle-Ottawa Scale standards to extract high-quality literature. Future studies are warranted to further dem- onstrate the relationship between them.

Underlying microangiopathy and functional outcome of simultaneous multiple intracerebral hemorrhage.

Objective: To identify the predominant type of cerebral small vessel disease (SVD) and outcomes in patients with simultaneous multiple intracerebral hemorrhages (SMICH). Methods: Consecutive patients with intracerebral hemorrhage (ICH) from a single-center prospective cohort were retrospectively reviewed. Presumed etiology was classified according to the SMASH-U criteria. Demographics, clinical and laboratory variables, and neuroimaging data were compared between patients with primary SMICH and those with single ICH. Functional outcomes were assessed using the modified Rankin scale 90 days after ICH. Results: Of the 598 enrolled patients, 37 (6.2%) met the criteria for SMICH. Risk factors for SMICH included a high burden of deep cerebral microbleeds (CMBs) (odds ratio [OR] 1.06, 95% confidence interval [CI], 1.00-1.12; p = 0.040), white matter hyperintensity scores (OR 1.27, 95% CI 1.04-1.57; p = 0.021), history of ICH (OR 3.38, 95% CI 1.31-8.05; p = 0.008), and low serum magnesium levels (OR 0.01, 95% CI 0.00-0.25; p = 0.007). Based on the SMASH-U classification, 15(40.5%) SMICH were classified as hypertension, whereas 17 (45.9%) as undetermined-etiology. To further explore the potential microangiopathy underlying undetermined-SMICH, these patients with undetermined-etiology were compared to those with cerebral amyloid angiopathy-ICH, and were associated with a higher burden of deep CMBs but less severe centrum semiovale enlarged perivascular spaces. Likewise, compared with hypertension-ICH patients, those with undetermined SMICH were consistently associated with a higher deep CMB counts. Moreover, multivariate analysis revealed that SMICH was independently associated with poor outcomes (OR 2.23, 95%CI 1.03-4.76; p = 0.038). Conclusion: Our results suggest that most patients with primary SMICH harbor hypertensive-SVD as principal angiopathy. Patients with SMICH are at a high risk of poor outcomes. (ClinicalTrials.gov Identifier: NCT04803292).