Comprehensive bioinformatics analysis unveils THEMIS2 as a carcinogenic indicator related to immune infiltration and prognosis of thyroid cancer.

The aim of this study was to identify biomarkers associated with the initiation and prognosis of thyroid cancer and elucidate the underlying pathogenic mechanisms. We obtained expression profiles and clinical information from the Cancer Genome Atlas (TCGA)-THCA and three datasets (GSE53157, GSE82208, and GSE76039). The three microarray datasets were combined using Perl and the sva package in R and termed 'merged dataset'. Weighted gene co-expression network analysis (WGCNA) identified 15 gene co-expression modules in the merged dataset and 235 hub genes. Venn diagram analysis revealed 232 overlapping genes between the merged and THCA datasets. Overlapping genes were subjected to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The least absolute shrinkage and selection operator (LASSO) regression identified THEMIS2 as a candidate hub gene. Cox, Kaplan-Meier (K-M) survival and gene set enrichment analysis (GSEA) confirmed the correlation of THEMIS2 with overall survival, its enrichment in immunologic processes, and its association with the p53 and JAK-STAT signaling pathways. Its expression was positively correlated with those of immune checkpoints and the infiltration level of immune cells. Receiver operating characteristic curve (ROC) analysis confirmed that THEMIS2, a diagnostic biomarker, could distinguish between tumor and normal specimens. The nomogram (ROC or DCA) model containing THEMIS2, age, and stage predicted favourable prognoses. Thus, THEMIS2 was a biomarker of immune infiltration and prognosis in thyroid cancer.

Intermittent fasting and health outcomes: an umbrella review of systematic reviews and meta-analyses of randomised controlled trials.

Background: Benefits of Intermittent fasting (IF) on health-related outcomes have been found in a range of randomised controlled trials (RCTs). Our umbrella review aimed to systematically analyze and synthesize the available causal evidence on IF and its impact on specific health-related outcomes while evaluating its evidence quality. Methods: We comprehensively searched the PubMed, Embase, Web of Science, and Cochrane databases (from inception up to 8 January 2024) to identify related systematic reviews and meta-analyses of RCTs investigating the association between IF and human health outcomes. We recalculated the effect sizes for each meta-analysis as mean difference (MD) or standardized mean difference (SMD) with corresponding 95% confidence intervals (CIs). Subgroup analyses were performed for populations based on three specific status: diabetes, overweight or obesity, and metabolic syndrome. The quality of systematic reviews was evaluated using A Measurement Tool to Assess Systematic Reviews (AMSTAR), and the certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) system. This study is registered with PROSPERO (CRD42023382004). Findings: A total of 351 associations from 23 meta-analyses with 34 health outcomes were included in the study. A wide range of outcomes were investigated, including anthropometric measures (n = 155), lipid profiles (n = 83), glycemic profiles (n = 57), circulatory system index (n = 41), appetite (n = 9), and others (n = 6). Twenty-one (91%) meta-analyses with 346 associations were rated as high confidence according to the AMSTAR criteria. The summary effects estimates were significant at p < 0.05 in 103 associations, of which 10 (10%) were supported by high certainty of evidence according to GRADE. Specifically, compared with non-intervention diet in adults with overweight or obesity, IF reduced waist circumference (WC) (MD = -1.02 cm; 95% CI: -1.99 to -0.06; p = 0.038), fat mass (MD = -0.72 kg; 95% CI: -1.32 to -0.12; p = 0.019), fasting insulin (SMD = -0.21; 95% CI: -0.40 to -0.02; p = 0.030), low-density lipoprotein cholesterol (LDL-C) (SMD = -0.20; 95% CI: -0.38 to -0.02; p = 0.027), total cholesterol (TC) (SMD = -0.29; 95% CI: -0.48 to -0.10; p = 0.003), and triacylglycerols (TG) (SMD = -0.23; 95% CI: -0.39 to -0.06; p = 0.007), but increased fat free mass (FFM) (MD = 0.98 kg; 95% CI: 0.18-1.78; p = 0.016). Of note, compared with the non-intervention diet, modified alternate-day fasting (MADF) reduced fat mass (MD = -0.70 kg; 95% CI: -1.38 to -0.02; p = 0.044). In people with overweight or obesity, and type 2 diabetes, IF increases high-density lipoprotein cholesterol (HDL-C) levels compared to continuous energy restriction (CER) (MD = 0.03 mmol/L; 95% CI: 0.01-0.05; p = 0.010). However, IF was less effective at reducing systolic blood pressure (SBP) than a CER diet in adults with overweight or obesity (SMD = 0.21; 95% CI: 0.05-0.36; p = 0.008). Interpretation: Our findings suggest that IF may have beneficial effects on a range of health outcomes for adults with overweight or obesity, compared to CER or non-intervention diet. Specifically, IF may decreased WC, fat mass, LDL-C, TG, TC, fasting insulin, and SBP, while increasing HDL-C and FFM. Notably, it is worth noting that the SBP lowering effect of IF appears to be weaker than that of CER. Funding: This work was supported by the National Key Research and Development Program of China (Q-JW), the Natural Science Foundation of China (Q-JW and T-TG), Outstanding Scientific Fund of Shengjing Hospital of China Medical University (Q-JW), and 345 Talent Project of Shengjing Hospital of China Medical University (T-TG).

Effects of stand ages on soil enzyme activities in Chinese fir plantations and natural secondary forests.

Forest type and stand age are important biological factors affecting soil enzyme activities. However, the changes in soil enzyme activities across stand ages and underlying mechanisms under the two forest restoration strate-gies of plantations and natural secondary forests remain elusive. In this study, we investigated the variations of four soil enzyme activities including cello-biohydrolase (CBH), ß-1,4-glucosidase (ßG), acid phosphatase (AP) and ß-1,4-N-acetylglucosaminidase (NAG), which were closely associated with soil carbon, nitrogen, and phosphorus cycling, across Cunninghamia lanceolata plantations and natural secondary forests (5, 8, 21, 27 and 40 years old). The results showed that soil enzyme activities showed different patterns across different forest types. The acti-vities of AP, ßG and CBH in the C. lanceolata plantations were significantly higher than those in the natural secon-dary forests, and there was no significant difference in the NAG activity. In the plantations, AP activity showed a decreasing tendency with the increasing stand ages, with the AP activity in the 5-year-old plantations significantly higher than other stand ages by more than 62.3%. The activities of NAG and CBH decreased first and then increased, and ßG enzyme activity fluctuated with the increasing stand age. In the natural secondary forests, NAG enzyme activity fluctuated with the increasing stand age, with that in the 8-year-old and 27-year-old stand ages being significantly higher than the other stand ages by more than 14.9%. ßG and CBH enzyme activities increased first and then decreased, and no significant difference was observed in the AP activity. Results of the stepwise regression analyses showed that soil predictors explained more than 34% of the variation in the best-fitting models predicting soil enzyme activities in the C. lanceolata plantations and natural secondary forests. In conclusion, there would be a risk of soil fertility degradation C. lanceolata plantations with the increasing stand age, while natural secondary forests were more conducive to maintaining soil fertility.

East Asian patients who received immunotherapy-based therapy associated with improved survival benefit in advanced non-small cell lung cancer: An updated meta-analysis.

BACKGROUND: Immune checkpoint inhibitors (ICIs) combined with chemotherapy have been recommended as the standard treatment for advanced NSCLC patients without driver-gene mutations. However, there are different genetic characteristics and biological traits of tumors between non-East Asian (nEA) and East Asian (EA) patients with NSCLC, which may contribute to differences in the efficacy of ICIs in different ethnic populations. Previous findings regarding differences in the efficacy of ICIs among ethnic groups have been inconsistent. Therefore, we performed a meta-analysis by collecting published data to investigate the clinical outcomes of ICIs for EA NSCLC patients compared to nEA patients. METHODS: Overall survival (OS) and progression-free survival (PFS) were used to access the difference in survival outcomes between the two populations. Subgroup analyses were performed based on the line of ICIs, the use of ICIs alone or in combination, and the type of ICIs. RESULTS: A total of 9826 NSCLC patients from 21 randomized controlled trials (RCTs) with 4064 EAs were included, which involved PD-1, PD-L1, and CTLA-4 inhibitors. EA NSCLC patients who received ICIs-based therapy were associated with significantly improved survival benefits in OS (p = 0.02) compared with nEA patients. Subgroup analysis indicated that EA patients receiving first-line ICIs showed significantly superior OS compared with nEA patients (p = 0.007). Chemo-ICIs treatment showed significant advantages in terms of OS (p = 0.002) and PFS (p = 0.02) among EA patients compared to nEA patients. In addition, PD-1 inhibitors were associated with improved OS among both EA patients and nEA patients compared with PD-L1 inhibitors. CONCLUSION: EA NSCLC patients who received ICIs-based therapy were associated with significantly improved survival benefits compared with nEA NSCLC patients. Earlier intervention with ICIs and combination treatment was more recommended for EA NSCLC patients. Moreover, PD-1 inhibitors are associated with prolonged survival among both EA and nEA patients.

Efficacy and safety of thoracic radiotherapy in extensive-stage small-cell lung cancer patients receiving first-line immunotherapy plus chemotherapy: a propensity score matched multicentre retrospective analysis.

BACKGROUND: Platinum-etoposide chemotherapy combined with immune checkpoint inhibitors (ICIs) has been recommended as the first-line standard treatment for extensive-stage small-cell lung cancer (ES-SCLC). However, the effect of thoracic radiotherapy (TRT) on these patients is still unknown. This study aimed to evaluate the efficacy and safety of TRT for ES-SCLC patients who responded to first-line ICIs and chemotherapy (CHT). METHODS: Patients who received 4 to 6 cycles of ICIs and CHT as first-line therapy at three hospitals between 2018 and 2022 were included in the analysis. All patients were divided into two groups based on whether they received TRT as first-line treatment, and propensity score matching (PSM) was performed to ensure that the characteristics of two groups were well-balanced. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was toxic effects. RESULTS: A total of 276 patients were included, and the median follow-up time was 22.3 (range, 4.0-53.73) months. After PSM, 197 patients were further analysed, and 99 of whom received TRT. The baseline characteristics were well-balanced between patients in the TRT and non-TRT groups. There were significant differences in PFS between the TRT and non-TRT groups, with the median PFS of 10.76 and 7.63 months, respectively (P = 0.014). Significantly improved OS was observed in the TRT group (21.67 vs. 16.6 months, P = 0.009). In addition, the use of TRT was an independent prognostic factor for PFS and OS of ES-SCLC patients receiving ICIs plus CHT. In terms of safety, no significant increase of any grades adverse event (AE) (P = 0.874) and G3-4 AE (P = 0.909) was observed for patients receiving TRT. Radiation esophagitis, gastrointestinal and hematologic toxicities were the most common AEs in TRT group, which were tolerable. And high-dose radiotherapy was associated with higher incidence of pneumonitis. CONCLUSION: Addition of TRT showed significant survival benefits and well tolerability in ES-SCLC patients receiving platinum-etoposide CHT and ICIs, which could be a feasible first-line treatment strategy for ES-SCLC patients.

Deep learning for head and neck semi-supervised semantic segmentation.

Objective. Radiation therapy (RT) represents a prevalent therapeutic modality for head and neck (H&N) cancer. A crucial phase in RT planning involves the precise delineation of organs-at-risks (OARs), employing computed tomography (CT) scans. Nevertheless, the manual delineation of OARs is a labor-intensive process, necessitating individual scrutiny of each CT image slice, not to mention that a standard CT scan comprises hundreds of such slices. Furthermore, there is a significant domain shift between different institutions' H&N data, which makes traditional semi-supervised learning strategies susceptible to confirmation bias. Therefore, effectively using unlabeled datasets to support annotated datasets for model training has become a critical issue for preventing domain shift and confirmation bias.Approach. In this work, we proposed an innovative cross-domain orthogon-based-perspective consistency (CD-OPC) strategy within a two-branch collaborative training framework, which compels the two sub-networks to acquire valuable features from unrelated perspectives. More specifically, a novel generative pretext task cross-domain prediction (CDP) was designed for learning inherent properties of CT images. Then this prior knowledge was utilized to promote the independent learning of distinct features by the two sub-networks from identical inputs, thereby enhancing the perceptual capabilities of the sub-networks through orthogon-based pseudo-labeling knowledge transfer.Main results. Our CD-OPC model was trained on H&N datasets from nine different institutions, and validated on the four local intuitions' H&N datasets. Among all datasets CD-OPC achieved more advanced performance than other semi-supervised semantic segmentation algorithms.Significance. The CD-OPC method successfully mitigates domain shift and prevents network collapse. In addition, it enhances the network's perceptual abilities, and generates more reliable predictions, thereby further addressing the confirmation bias issue.

From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer.

BACKGROUND: Immunotherapy has significantly improved survival of esophageal squamous cell cancer (ESCC) patients, however the clinical benefit was limited to only a small portion of patients. This study aimed to perform a deep learning signature based on H&E-stained pathological specimens to accurately predict the clinical benefit of PD-1 inhibitors in ESCC patients. METHODS: ESCC patients receiving PD-1 inhibitors from Shandong Cancer Hospital were included. WSI images of H&E-stained histological specimens of included patients were collected, and randomly divided into training (70%) and validation (30%) sets. The labels of images were defined by the progression-free survival (PFS) with the interval of 4 months. The pretrained ViT model was used for patch-level model training, and all patches were projected into probabilities after linear classifier. Then the most predictive patches were passed to RNN for final patient-level prediction to construct ESCC-pathomics signature (ESCC-PS). Accuracy rate and survival analysis were performed to evaluate the performance of ViT-RNN survival model in validation cohort. RESULTS: 163 ESCC patients receiving PD-1 inhibitors were included for model training. There were 486,188 patches of 1024*1024 pixels from 324 WSI images of H&E-stained histological specimens after image pre-processing. There were 120 patients with 227 images in training cohort and 43 patients with 97 images in validation cohort, with balanced baseline characteristics between two groups. The ESCC-PS achieved an accuracy of 84.5% in the validation cohort, and could distinguish patients into three risk groups with the median PFS of 2.6, 4.5 and 12.9 months (P < 0.001). The multivariate cox analysis revealed ESCC-PS could act as an independent predictor of survival from PD-1 inhibitors (P < 0.001). A combined signature incorporating ESCC-PS and expression of PD-L1 shows significantly improved accuracy in outcome prediction of PD-1 inhibitors compared to ESCC-PS and PD-L1 anlone, with the area under curve value of 0.904, 0.924, 0.610 for 6-month PFS and C-index of 0.814, 0.806, 0.601, respectively. CONCLUSIONS: The outcome supervised pathomics signature based on deep learning has the potential to enable superior prognostic stratification of ESCC patients receiving PD-1 inhibitors, which convert the images pixels to an effective and labour-saving tool to optimize clinical management of ESCC patients.

Prognostic Differences Between Surveillance and Active Treatment After Initial Orchiectomy in Patients With Stage I Mixed Germ Cell Tumors of the Testis: A Propensity Score Matching Analysis.

INTRODUCTION: The prognosis and optimal treatment approach for stage I mixed germ cell cancers of the testis are not well-established. This study aimed to assess contemporary treatment rates and their correlation with the cancer-specific mortality (CSM) and other-cause mortality (OCM) in patients with stage I testicular mixed germ cell tumors (TMGCT) who underwent orchiectomy, comparing surveillance with active treatment, including chemotherapy (CHT) and retroperitoneal lymph node dissection (RPLND). METHODS: Retrospective analysis of clinical data from stage I TMGCT patients who underwent orchiectomy was conducted using the Surveillance, Epidemiology, and End Results database from 2004 to 2019. The annual percentage change (APC) in the use of surveillance, postoperative CHT, and RPLND was examined. Propensity score matching (PSM) and cumulative incidence, analyses were employed to compare differences in CSM and OCM between surveillance and active treatment, as well as between CHT and RPLND. Multivariate competing-risks regression models were utilized to investigate independent factors affecting CSM and OCM among stage I TMGCT patients. RESULTS: The study included 5743 individuals with stage I TMGCT that underwent surveillance (61.6%), CHT(27.2%), or RPLND (11.2%). Among them, 82 deaths were attributed to TMGCT, and 82 deaths resulted from other causes. Surveillance rates increased over time (APC: 0.635%, P = 0.008), as did CHT rates (APC: 0.863%, P < 0.001), while RPLND rates declined (APC: -0.96%, P < 0.001). After PSM, multivariate competing-risks regression analysis showed that, active treatment, compared to surveillance, was not an independent factor for CSM and OCM. In contrast, when compared to CHT, RPLND was an independent factor associated with lower CSM (hazard ratio = 0.247, 95% confidence interval: 0.08-0.761; P = 0.015), but not OCM (hazard ratio = 0.946, 95% confidence interval: 0.377-2.37; P = 0.91). CONCLUSIONS: Surveillance and CHT rates have increased over time for patients with stage I TMGCT following initial orchiectomy, while RPLND utilization has decreased. There was no significant difference in CSM between surveillance and active treatment groups, but RPLND demonstrated significantly lower CSM than CHT in active treatment. Our findings suggest that the usage of RPLND in patients with stage I TMGCT should be reconsidered.

Linkages of soil CO2 emission with plant functional traits in young subtropical plantations.

Soil respiration is a key process in forest biogeochemical cycling. Exploring the relationship between plant functional traits and soil respiration can help understand the effects of tree species conversion on soil carbon cycling. In this study, we selected 15 common subtropical tree species planted in the logging site of second-generation Chinese fir forest to measure soil CO2 emission fluxes, soil physicochemical properties, leaf and root functional traits of each species, and explored the effects of plant functional traits on soil respiration. The results showed that the annual flux of soil CO2 emissions varied from 7.93 to 22.52 Mg CO2·hm-2, with the highest value under Castanopsis carlesii (22.52 Mg CO2·hm-2) and the lowest value under Taxus wallichiana (7.93 Mg CO2·hm-2). Results of stepwise regression analysis showed that the annual flux of soil CO2 emission decreased with the increases of leaf nitrogen content and fine root diameter, and increased with increasing leaf non-structural carbohydrate. In the structural equation model, leaf non-structural carbohydrate had a direct and significant positive effect on soil CO2 emission fluxes, while leaf nitrogen content and fine root diameter had a direct negative effect by decreasing soil pH and soluble organic nitrogen content. Plantations of different tree species would affect soil CO2 emission directly by changing functional traits related to water and nutrient acquisition or indirectly through soil properties. When creating plantations, we should select tree species based on the relationship between plant functional traits and ecosystem functions, with a view to improving forest productivity and soil carbon sequestration potential.

Pulmonary sarcoidosis-like reactions induced by sintilimab in esophageal cancer: A case report.

RATIONALE: Esophageal cancer is one of the deadliest cancers in the world, with high incidence and mortality rates ranking among the top ten in China. The efficacy of conventional treatments is limited and often accompanied by severe adverse reactions, which results in unsatisfactory outcomes. The mechanism of immune checkpoint inhibitors (ICIs) is to activate cytotoxic T cells to kill tumor cells expressing tumor antigens. The application of ICIs has profoundly changed the mode of cancer treatment. However, the use of ICIs also induces a series of adverse reactions similar to autoimmune reactions, called immune-related adverse events (irAEs). Some ICIs can cause manifestations similar to those in the development of sarcoidosis, which are called sarcoidosis-like reactions or granulomatosis. PATIENT CONCERNS: We report a 50-year-old Chinese male patient. DIAGNOSES: The patient had been diagnosed with advanced esophageal squamous cell carcinoma , and was confirmed to have pulmonary sarcoidosis-like reactions associated with sintilimab, a human programmed cell death protein 1 (PD-1) inhibitor. INTERVENTIONS: The patient was administered corticosteroid treatment. OUTCOMES: After receiving steroid treatment, the patient's systemic and pulmonary symptoms improved rapidly. To our knowledge, this is the first report of pulmonary sarcoidosis-like reaction in a patient with esophageal squamous cell carcinoma. The patient then continued to receive 1 year of follow-up antitumor treatment after the appearance of lung pulmonary sarcoidosis-like reactions. The prognosis was good and the patient's condition is currently stable. LESSONS: The diagnosis of ICI-induced sarcoidosis often requires comprehensive evaluation through clinical, pathological, and radiological assessment. A subset of patients with sarcoidosis-like reactions may not require treatment unless there is organ dysfunction or severe clinical symptoms, and these reactions generally respond well to treatment. The occurrence of sarcoidosis-like reactions after immunotherapy is positively correlated with the long-term prognosis of cancer patients. However, this hypothesis requires larger prospective studies for validation.

Functional and structural changes in the neuroretina are accompanied by mitochondrial dysfunction in a type 2 diabetic mouse model.

BACKGROUND: Diabetic retinopathy (DR), one of the leading causes of blindness and vision impairment, is suggested to exhibit functional and structural changes in retinal neurons as the earliest manifestation, which could be used to predict the progression of related angiopathy. While neural function and survival rely on proper mitochondrial function, and a growing body of literature has supported the role of mitochondrial dysfunction in the development of DR, how diabetes affects mitochondrial function in retinal tissue remains elusive. This study primarily aimed to investigate mitochondrial functional changes in a diabetic rodent model. We also characterized the early DR phenotype, in particular, neurodegeneration. METHODS: C57BLKsJ-db/db (db/db) mice (a type 2 diabetic mouse model) were used with their normoglycemic heterozygous littermates (db/+) serving as controls. Longitudinal changes in retinal function and morphology were assessed with electroretinography (ERG) and optical coherence tomography (OCT), respectively, at 9, 13, 17, and 25 weeks of age. At 25 weeks, the retinas were harvested for immunohistochemistry and ex vivo mitochondrial bioenergetics. RESULTS: Decreased ERG responses were observed in db/db mice as early as 13 weeks of age. OCT revealed that db/db mice had significantly thinner retinas than the controls. Immunohistochemistry showed that the retinas of the db/db mice at 25 weeks were thinner at the outer and inner nuclear layers, with lower photoreceptor and cone cell densities compared with the db/+ mice. The number of rod-bipolar cell dendritic boutons and axon terminals was significantly reduced in db/db mice relative to the db/+ mice, suggesting that diabetes may lead to compromised synaptic connectivity. More importantly, the retinas of db/db mice had weaker mitochondrial functions than the controls. CONCLUSIONS: Our longitudinal data suggest that diabetes-induced functional deterioration and morphological changes were accompanied by reduced mitochondrial function in the retina of db/db mice. These findings suggest that mitochondrial dysfunction may be a contributing factor triggering the development of DR. While the underlying mechanistic cause remains elusive, the db/db mice could be a useful animal model for testing potential treatment regimens targeting neurodegeneration in DR.

Tectorigenin relieved sepsis-induced myocardial ferroptosis by inhibiting the expression of Smad3.

Background: Myocardial injury is a serious consequence of sepsis that contributes to high rates of death. Currently, the pathophysiology of cardiac damage in sepsis is still unknown, and treatment approaches are limited. Methods: The sepsis mouse model was established inducing by Lipopolysaccharide (LPS) in vivo and Tectorigenin was pretreated to explore whether it contributed to alleviated myocardial injury. Hematoxylin-eosin (HE) stain was employed to evaluate the myocardial injury severity. TUNEL assay measured the number of apoptosis cells and the levels of B-cell lymphoma-2 associated X (Bax) and Cleaved Caspase-3 were assessed by western blot. The contents of iron and related ferroptosis molecules (acyl-CoA synthetase long-chain family (ACSL4), Glutathione Peroxidase 4 (GPX4)) were assessed. Then, interleukin-1ß (IL-1ß), IL-18, IL-6, tumor necrosis factor-α (TNF-α), and other inflammatory-related cytokines were detected by ELISA. The expression of the mother against decapentaplegic homolog 3 (Smad3) in heart tissues was evaluated by western blot and immunofluorescence. Results: Tectorigenin alleviated myocardial dysfunction and myofibrillar disruption in LPS-related sepsis groups. Tectorigenin ameliorated cardiomyocyte apoptosis and myocardial ferroptosis in LPS-stimulated sepsis mice. Tectorigenin reduced inflammatory-relevant cytokines in the cardiac tissues of LPS stimuli mice. In addition, we further confirm that Tectorigenin relieved myocardial ferroptosis by inhibiting the expression of Smad3. Discussion: Tectorigenin ameliorates myocardial damage stimulated by LPS and this effect exerts by inhibiting ferroptosis and the inflammation of the myocardium. Furthermore, the inhibitory effect of Tectorigenin on ferroptosis may deregulate Smad3 expression. Taken together, Tectorigenin may be a viable method for alleviating myocardial damage in sepsis.

Value of serum free prostate-specific antigen density in the diagnosis of prostate cancer.

PURPOSE: To investigate the value of serum free prostate-specific antigen density (fPSAD) in the diagnosis of prostate cancer (PCa). METHODS: The data of 558 patients who underwent transrectal ultrasound-guided prostate biopsy were retrospectively analyzed. According to the pathological results, the patients were divided into a PCa group and a benign prostatic hyperplasia (BPH) group. Receiver operating characteristic curves were plotted, based on which the sensitivity, specificity, Youden index, concordance, and kappa values of free prostate-specific antigen (fPSA), the free-to-total f/tPSA, prostate-specific antigen density (PSAD), the free-to-total (f/t)/PSAD ratio, and fPSAD were compared. The patients were divided into three groups by PSA levels (PSA < 4 ng/mL, PSA = 4-10 ng/mL, and PSA > 10 ng/mL), into three groups by age (age < 60 year, age = 60-80y, and age > 80 years), and into two groups by prostate volume (PV) (PV ≤ 80 mL and PV > 80 mL) to compare the sensitivity, specificity, and concordance of indicators. RESULTS: tPSA, PSAD, (f/t)/PSAD, and fPSAD had high accuracy in predicting PCa with AUC values of 0.820, 0.900, 0.846, and 0.867. fPSAD showed lower diagnostic sensitivity but significantly higher specificity and concordance for PCa than tPSA, f/tPSA, (f/t)/PSAD, or PSAD. Thus, fPSAD had the highest accuracy in the diagnosis of PCa. In the groups with different PSA, age, and PV stratification, the concordance of fPSAD was significantly higher (88.61%, 90.74%, and 90.38%) than that of other indicators. CONCLUSION: With the optimal cutoff value of 0.062, fPSAD has a higher diagnostic value for PCa than tPSA, f/tPSA, (f/t)/PSAD, and PSAD, and can well predict the risk of PCa, significantly improve the clinical diagnostic rate of PCa, and reduce unnecessary biopsy.

Pneumonitis with combined immune checkpoint inhibitors and chemoradiotherapy in locally advanced non-small-cell lung cancer: a systematic review and meta-analysis.

Aims: This study systematically evaluated cases of pneumonitis following combined immune checkpoint inhibitors (ICI) and chemoradiotherapy (CRT) for locally advanced non-small-cell lung cancer (LA-NSCLC). Methods: Studies from Embase, PubMed and the Cochrane Library on patients with LA-NSCLC who received CRT and ICIs were reviewed. The primary outcomes were rates of all-grade, grade 3-5 and grade 5 pneumonitis. Results: Overall, 35 studies involving 5000 patients were enrolled. The pooled rates of all-grade, grade 3-5 and grade 5 pneumonitis were 33.0% (95% CI: 23.5-42.6), 6.1% (95% CI: 4.7-7.4) and 0.8% (95% CI: 0.3-1.2), respectively, with 7.6% of patients discontinuing ICIs because of pneumonitis. Conclusion: The incidence rates of pneumonitis following combined CRT and ICIs for LA-NSCLC were acceptable. However, the pulmonary toxicity of concurrent CRT and nivolumab plus ipilimumab should be noted.

Combined immune checkpoint inhibitors (ICI) and chemoradiotherapy (CRT) may cause severe pneumonitis due to overlapped pulmonary toxicity. However, the safety data on pneumonitis are limited to a small number of prospective clinical trials and retrospective studies with limited evidence. Thus we conducted a systematic review of pneumonitis in relation to the combination treatment. A total of 35 studies, involving 5000 patients, were included for the final analysis. The pooled rates of all-grade, grade 3­5 and grade 5 pneumonitis were 33.0, 6.1 and 0.8%, respectively, and 7.6% of patients stopped taking ICIs because of pneumonitis. The pneumonitis rates following combined CRT and ICIs for LA-NSCLC were acceptable, but the pulmonary toxicity of concurrent CRT and nivolumab plus ipilimumab should be noted.

Outcome-Supervised Deep Learning on Pathologic Whole Slide Images for Survival Prediction of Immunotherapy in Patients with Non-Small Cell Lung Cancer.

Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients with non-small cell lung cancer (NSCLC), approximately 60% of the patients still suffer from recurrence and metastasis after PD-(L)1 inhibitor treatment. To accurately predict the response to PD-(L)1 inhibitors, we presented a deep learning model using a Vision Transformer (ViT) network based on hematoxylin and eosin (H&E)-stained specimens of patients with NSCLC. Two independent cohorts of patients with NSCLC receiving PD-(L)1 inhibitors from Shandong Cancer Hospital and Institute and Shandong Provincial Hospital were enrolled for model training and external validation, respectively. Whole slide images (WSIs) of H&E-stained histologic specimens were obtained from these patients and patched into 1024 × 1024 pixels. The patch-level model was trained based on ViT to identify the predictive patches, and patch-level probability distribution was performed. Then, we trained a patient-level survival model based on the ViT-Recursive Neural Network framework and externally validated it in the Shandong Provincial Hospital cohort. A total of 291 WSIs of H&E-stained histologic specimens from 198 patients with NSCLC in Shandong Cancer Hospital and 62 WSIs from 30 patients with NSCLC in Shandong Provincial Hospital were included in the model training and validation. The model achieved an accuracy of 88.6% in the internal validation cohort and 81% in the external validation cohort. The survival model also remained a statistically independent predictor of survival from PD-(L)1 inhibitors. In conclusion, the outcome-supervised ViT-Recursive Neural Network survival model based on pathologic WSIs could be used to predict immunotherapy efficacy in patients with NSCLC.

Prophylactic cranial irradiation-related lymphopenia affects survival in patients with limited-stage small cell lung cancer.

Background: The study aimed to identify the relations of the absolute lymphocyte count (ALC) nadir during prophylactic cranial irradiation (PCI) and patient outcomes in limited-stage small cell lung cancer (LS-SCLC). Methods: We analyzed 268 L S-SCLC patients who underwent PCI from 2012 to 2019. ALC values were collected prior, during, and 3 months post PCI. Kaplan-Meier and Cox regression analyses were performed to assess the relation of ALC to patient prognosis. Two nomograms were developed on the basis of clinical variables for survival prediction. Results: Compared with the ALC before PCI (1.13 × 109 cells/L), the ALC nadir during PCI was significantly reduced by 0.68 × 109 cells/L (P < 0.001) and raised to 1.02 × 109 cells/L 3 months post PCI. Patients with a low ALC nadir during PCI (<0.68 × 109 cells/L) had inferior progression free survival (PFS) (median PFS: 17.2 m vs. 43.7 m, P = 0.019) and overall survival (OS) (median OS: 29.0 m vs 39.1 m, P = 0.012). Multivariate Cox analysis revealed that age, smoking history, clinical stage, and ALC nadir were independent OS (P = 0.006, P = 0.005, P < 0.001 and P = 0.027, respectively), as well as independent PFS predictors (P = 0.032, P = 0.012, P = 0.012 and P = 0.018, respectively). After internal cross-validation, the corrected concordance indices of the predictive nomograms for PFS and OS were 0.637 and 0.663, respectively. Conclusion: LS-SCLC patients with a low ALC nadir during PCI likely have worse survival outcomes. Dynamic evaluation of the ALC during PCI is recommended for LS-SCLC patients.

Automatic Epileptic Tissue Localization through Spatial Pattern Clustering of High Frequency Activity.

High-frequency activity (HFA) in intracranial electroencephalography recordings are diagnostic biomarkers for refractory epilepsy. Clinical utilities based on HFA have been extensively examined. HFA often exhibits different spatial patterns corresponding to specific states of neural activation, which will potentially improve epileptic tissue localization. However, research on quantitative measurement and separation of such patterns is still lacking. In this paper, spatial pattern clustering of HFA (SPC-HFA) is developed. The process is composed of three steps: (1) feature extraction: skewness which quantifies the intensity of HFA is extracted; (2) clustering: k-means clustering is applied to separate column vectors within the feature matrix into intrinsic spatial patterns; (3) localization: the determination of epileptic tissue is performed based on the cluster centroid with HFA expanding to the largest spatial extent. Experiments were conducted on a public iEEG dataset with 20 patients. Compared with existing localization methods, SPC-HFA demonstrates improvement (Cohen's d > 0.2) and ranks top in 10 out of 20 patients in terms of the area under the curve. In addition, after extending SPC-HFA to high-frequency oscillation detection algorithms, corresponding localization results also improve with effect size Cohen's d ≥ 0.48. Therefore, SPC-HFA can be utilized to guide clinical and surgical treatment of refractory epilepsy.

PM2.5 exposure and its interaction of oxidative balance score on ovarian cancer survival: A prospective cohort study.

Recent evidence advises particles with a diameter of 2.5 µm or less (PM2.5) might be a prognostic factor for ovarian cancer (OC) survival. The oxidative balance score (OBS) incorporates diet-lifestyle factors to estimate individuals' anti-oxidant exposure status which may be relevant to cancer prognosis. We aimed to investigate the roles of PM2.5, and OBS and their interaction in OC prognosis. 663 patients with OC were enrolled in the current study. Satellite-derived annual average exposures to PM2.5 based on patients' residential locations. The OBS was calculated based on 16 different diet-lifestyle components derived using an acknowledged self-reported questionnaire. The Cox regression model was performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS). We also assessed the effect of modification between PM2.5 and OS by OBS via interaction terms. During a median follow-up of 37.57 (interquartile:35.27-40.17) months, 123 patients died. Compared to low-concentration PM2.5 exposure, high PM2.5 during 1 year before diagnosis was associated with worse OC survival (HR= 1.19, 95% CI = 1.01-1.42). We observed an improved OS with the highest compared with the lowest OBS (HR = 0.46, 95% CI = 0.27-0.79, P for trend < 0.05). Notably, we also found an additive interaction between low OBS and high exposure to PM2.5, with the corresponding associations of PM2.5 being more pronounced among participants with lower OBS (HR = 1.42, 95% CI = 1.09-1.86). PM2.5 may blunt OC survival, but high OBS represented an antioxidative performance that could alleviate the adverse association of PM2.5 and OS.

Impact of nab-paclitaxel plus PD-1/PD-L1 inhibitor on chemorefractory relapsed small-cell lung cancer.

Background: The present study evaluated the efficacy and safety of nab-paclitaxel (nab-PTX) with a concurrent PD-1/PD-L1 inhibitor in patients with refractory relapsed small-cell lung cancer (SCLC). Patients & methods: We retrospectively analyzed 240 patients with refractory relapsed SCLC: 40 patients were treated with nab-PTX plus PD-1/PD-L1 inhibitor, and 200 received traditional chemotherapy. Results: Median progression-free survival in the nab-PTX plus PD-1/PD-L1 inhibitor and traditional chemotherapy groups was 3.6 and 2.5 months (p = 0.0021), respectively. The median overall survival was 8.0 and 5.2 months (p = 0.0002), respectively. No new safety issues were identified. Conclusion: Nab-PTX plus PD-1/PD-L1 inhibitor significantly improved survival in patients with refractory relapsed SCLC compared with traditional chemotherapy.

Most patients with refractory relapsed small-cell lung cancer (SCLC) have few treatment options and dismal survival rates. This study analyzed the clinical outcomes and safety profiles of patients treated with nab-paclitaxel (nab-PTX) plus PD-1/PD-L1 inhibitor compared with patients treated with conventional chemotherapy. Notably, treatment with nab-paclitaxel and PD-1/PD-L1 inhibitor was associated with more favorable clinical outcomes, including better overall response and disease control rates, as well as longer overall survival and progression-free survival. In terms of side effect profiles, the two groups were balanced and had a similar incidence of grade ≥3 adverse events, including depleted blood cells and hair loss. To the best of our knowledge, we are the first to report the use of nab-PTX plus PD-1/PD-L1 inhibitor in the treatment of refractory relapsed SCLC. In addition, nab-PTX plus PD-1/PD-L1 inhibitor showed more effective antitumor activity in patients with secondary tumors in the liver, further confirming that nab-PTX plus PD-1/PD-L1 inhibitor is effective for patients with refractory relapsed SCLC.

Incidence of pneumonitis following the use of different anaplastic lymphoma kinase tyrosine kinase inhibitor regimens: An updated systematic review and meta-analysis.

OBJECTIVES: Anaplastic lymphoma kinase tyrosine kinase inhibitors (ALK TKIs) have shown remarkable clinical activity in patients with non-small-cell lung cancer (NSCLC). However, pneumonitis is a serious side effect of ALK TKIs in NSCLC patients. In this meta-analysis, we aimed to determine the incidence of ALK-TKI-associated pneumonitis. MATERIALS AND METHODS: We searched electronic databases to identify relevant studies published until August 2022. The incidence of pneumonitis was calculated using a fixed-effects model when no substantial heterogeneity was observed. Otherwise, a random-effects model was used. Subgroup analyses of different treatment groups were performed. Statistical analyses were conducted using STATA 17.0. RESULTS: Twenty-six clinical trials involving 4752 patients were eligible for analysis. All-grade pneumonitis incidence was 2.92% (95% confidence interval [CI]: 1.79%-4.27%), high-grade (Grade 3-4) pneumonitis incidence was 1.42% (95% CI: 0.84%-2.12%) and Grade 5 pneumonitis incidence was 0.09% (95% CI: 0.00%-0.28%). The subgroup analysis showed that brigatinib was associated with the highest incidence of both all-grade and high-grade pneumonitis (7.09% and 3.06%, respectively). ALK TKI treatment after chemotherapy was associated with a higher incidence of all-grade and high-grade pneumonitis than first-line ALK TKI treatment (7.73% vs. 2.26% and 3.64% vs. 1.26%, respectively). Cohorts from Japanese trials had a higher incidence of all-grade and high-grade pneumonitis. CONCLUSION: Our study provides precise data on the incidence of pneumonitis in patients receiving treatment with ALK TKIs. Overall, ALK TKIs have tolerable pulmonary toxicity. Early pneumonitis identification and treatment are required to prevent further deterioration in patients receiving treatment with brigatinib and in those who received prior chemotherapy, particularly in the Japanese population.