[Clinical characteristics and prognosis analysis of gastric cancer patients with bone metastasis].

Objectives: To investigate the clinical characteristics and prognosis of bone metastasis of gastric cancer, analyze the influencing factors of bone metastasis and the effects of different treatment methods, and provide a basis for early detection and treatment optimization of bone metastasis of gastric cancer. Methods: A total of 142 gastric cancer patients with bone metastasis admitted to the First Hospital of Lanzhou University from January 2011 to December 2021 were enrolled, including 60 cases of simple bone metastasis and 82 cases of bone metastasis combined with extraosseous metastasis. 142 patients with stage Ⅲgastric cancer without distant metastasis and 142 gastric cancer patients with visceral metastasis admitted to this hospital during the same period were also enrolled for comparison. Logistic regression analysis was used to determine the influencing factors of bone metastasis, and the Cox proportional hazards regression model was used to evaluate the influencing factors of overall survival (OS) of patients with bone metastasis. Results: Among the 142 patients with bone metastasis, poorly differentiated adenocarcinoma was the main type (123 cases), and 45 patients had simultaneous bone metastasis. Rib metastasis (100 cases), spine metastasis (88 cases), and pelvis metastasis (84 cases) were more common. A total of 110 patients had multiple bone metastasis, and 82 patients had extraosseous metastasis. Results of the stage Ⅲ gastric cancer group, the visceral metastasis group, the bone metastasis group, and the bone metastasis with extraosseous metastasis group were compared. There were significant differences in age, degree of differentiation, Borrmann type, alkaline phosphatase, lactate dehydrogenase, serum calcium, alanine aminotransferase, aspartate aminotransferase, creatine kinase isoenzyme, lymphocyte, hemoglobin, platelet, CEA, CA19-9, and CA724 (all P<0.05). Multivariate logistic regression analysis showed that Borrmann type was an independent protective factor of bone metastasis of gastric cancer (type 3: OR=0.07, 95%CI: 0.01-0.64, P=0.018). Alkaline phosphatase (OR=2.54, 95% CI: 1.07-6.01, P=0.034), serum calcium (OR=2.71, 95% CI: 1.15-6.41, P=0.023), creatine kinase isoenzyme (OR=16.33, 95% CI: 1.83-145.58, P=0.012), platelet (OR=10.08, 95% CI:1.89-53.85, P=0.007), and CA19-9 (OR=2.40, 95% CI: 1.14-5.05, P=0.021) were independent risk factors of bone metastasis of gastric cancer. The median OS of the stage Ⅲ gastric cancer group, the visceral metastasis group, the bone metastasis group, and the bone metastasis with extrabony group were 47, 13, 18, and 6 months, respectively, and the difference was statistically significant (P<0.001). The median OS of patients with bone metastasis only who underwent primary tumor surgery was 33 months, better than 6 months of patients without surgery (P=0.048). Multivariate Cox regression analysis showed that extraosseous metastasis (HR=2.45, 95% CI: 1.56-3.85, P<0.001) and decreased hemoglobin (HR=1.54, 95%CI: 1.02-2.34, P=0.042) were independent risk factors of OS of gastric cancer patients with bone metastasis. Conclusions: The prognosis of gastric cancer patients with bone metastasis alone is significantly better than that of other stage Ⅳ patients. For such patients, surgery on the primary site combined with chemotherapy after full evaluation may prolong the survival time.

Serum bta-miRNA-375 as a potential biomarker for the early diagnosis of enzootic bovine leukosis.

To identify a biomarker for the early diagnosis of enzootic bovine leukosis (EBL) caused by bovine leukemia virus (BLV), we investigated the expression of a microRNA, bta-miR-375, in cattle serum. Using quantitative reverse-transcriptase PCR analysis, we measured bta-miR-375 levels in 27 samples from cattle with EBL (EBL cattle), 45 samples from animals infected with BLV but showing no clinical signs (NS cattle), and 30 samples from cattle uninfected with BLV (BLV negative cattle). In this study, we also compared the kinetics of bta-miR-375 with those of the conventional biomarkers of proviral load (PVL), lactate dehydrogenase (LDH), and thymidine kinase (TK) from the no-clinical-sign phase until EBL onset in three BLV-infected Japanese black (JB) cattle. Bta-miR-375 expression was higher in NS cattle than in BLV negative cattle (P < 0.05) and greater in EBL cattle than in BLV negative and NS cattle (P < 0.0001 for both comparisons). Receiver operating characteristic curves demonstrated that bta-miR-375 levels distinguished EBL cattle from NS cattle with high sensitivity and specificity. In NS cattle, bta-miR-375 expression was increased as early as at 2 months before EBL onset-earlier than the expression of PVL, TK, or LDH isoenzymes 2 and 3. These results suggest that serum miR-375 is a promising biomarker for the early diagnosis of EBL.

Multi-omic analysis identifies hypoalbuminemia as independent biomarker of poor outcome upon PD-1 blockade in metastatic melanoma.

We evaluated the prognostic value of hypoalbuminemia in context of various biomarkers at baseline, including clinical, genomic, transcriptomic, and blood-based markers, in patients with metastatic melanoma treated with anti-PD-1 monotherapy or anti-PD-1/anti-CTLA-4 combination therapy (n = 178). An independent validation cohort (n = 79) was used to validate the performance of hypoalbuminemia compared to serum LDH (lactate dehydrogenase) levels. Pre-treatment hypoalbuminemia emerged as the strongest predictor of poor outcome for both OS (HR = 4.01, 95% CI 2.10-7.67, Cox P = 2.63e-05) and PFS (HR = 3.72, 95% CI 2.06-6.73, Cox P = 1.38e-05) in univariate analysis. In multivariate analysis, the association of hypoalbuminemia with PFS was independent of serum LDH, IFN-γ signature expression, TMB, age, ECOG PS, treatment line, treatment type (combination or monotherapy), brain and liver metastasis (HR = 2.76, 95% CI 1.24-6.13, Cox P = 0.0131). Our validation cohort confirmed the prognostic power of hypoalbuminemia for OS (HR = 1.98, 95% CI 1.16-3.38; Cox P = 0.0127) and was complementary to serum LDH in analyses for both OS (LDH-adjusted HR = 2.12, 95% CI 1.2-3.72, Cox P = 0.00925) and PFS (LDH-adjusted HR = 1.91, 95% CI 1.08-3.38, Cox P = 0.0261). In conclusion, pretreatment hypoalbuminemia was a powerful predictor of outcome in ICI in melanoma and showed remarkable complementarity to previously established biomarkers, including high LDH.

Association of serum protein electrophoresis with clinicopathological characteristics and its prognostic relevance in chronic lymphocytic leukaemia patients.

Objective: To assess the association of serum protein electrophoresis abnormalities with clinicopathological characteristics, and its impact on overall survival in chronic lymphocytic leukaemia patients. METHODS: The prospective study was conducted at Haematology and Immunology departments of the University of Health Sciences, Lahore, Pakistan, from 2019 to 2022, and comprised newly diagnosed chronic lymphocytic leukaemia patients. Lactate dehydrogenase and beta-2 microglobulin levels were measured by spectrophotometric principle, whereas serum protein electrophoresis was determined through commercially available capillary electrophoresis systems. Patients were followed up for 2 years post-diagnosis. Data was analysed using SPSS 21. RESULTS: Of the 50 patients, 40(80%) were males and 10(20%) were females. The overall mean age was 60±11 years. Serum protein electrophoresis was available for 40(80%) patients, and, among them, 12(30%) patients had abnormal levels, while 29(72.5%) required treatment. Overall response rate was 25(86.2%), and median two-year overall survival was 16.5 months (95% confidence interval: 10-20 months). Abnormal serum protein electrophoresis was significantly associated with Binet stage C, lower mean haemoglobin levels and higher median levels of lactate dehydrogenase and beta-2 microglobulin (p<0.05)). Regarding overall survival, the survival curves of chronic lymphocytic leukaemia patients with normal and abnormal serum protein electrophoresis status differed significantly (p=0.04). Conclusion: Abnormal serum protein electrophoresis could be considered a surrogate marker for advanced chronic lymphocytic leukaemia disease.

Limited prognostic role of routine serum markers (AP, CEA, LDH and NSE) in oligorecurrent prostate cancer patients undergoing PSMA-radioguided surgery.

INTRODUCTION: We evaluated the prognostic role of pre-salvage prostate-specific membrane antigen-radioguided surgery (PSMA-RGS) serum levels of alkaline phosphatase (AP), carcinoembryonic antigen (CEA), lactate dehydrogenase (LDH), and neuron-specific enolase (NSE). MATERIALS AND METHODS: Patients who consecutively underwent PSMA-RGS for prostate cancer (PCa) oligorecurrence between January 2019 and January 2022 were selected. Biomarkers were assessed one day before surgery. Cox regression and logistic regression models tested the relationship between biochemical recurrence-free survival (BFS), 6- and 12-month biochemical recurrence (BCR), and several independent variables, including biomarkers. RESULTS: 153 consecutive patients were analyzed. In the univariable Cox regression analysis, none of the biomarkers achieved predictor status (AP: hazard ratio [HR] = 1.03, 95% CI 0.99, 1.01; p = 0.19; CEA: HR = 1.73, 95% CI 0.94, 1.21; p = 0.34; LDH: HR = 1.01, 95% CI 1.00, 1.01; p = 0.05; NSE: HR = 1.02, 95% CI 0.98, 1.06; p = 0.39). The only independent predictor of BFS was the number of positive lesions on PSMA PET (HR = 1.17, 95% CI 1.02, 1.30; p = 0.03). The number of positive lesions was confirmed as independent predictor for BCR within 6 and 12 months (BCR < 6 months: odds ratio [OR] = 1.1, 95% CI 1.0, 1.3; p = 0.04; BCR < 12 months: OR = 1.1, 95% CI 1.0, 1.3; p = 0.04). CONCLUSION: The assessment of AP, CEA, LDH, and NSE before salvage PSMA-RGS showed no prognostic impact. Further studies are needed to identify possible predictors that will optimize patient selection for salvage PSMA-RGS.

Serum lactate dehydrogenase in the prognostic assessment of patients with oral squamous cell carcinoma.

Background: Lactate dehydrogenase (LDH) has been proven to be a diagnostic marker in oral squamous cell carcinoma (OSCC). However, the prognostic value of serum LDH in OSCC is yet to be explored. The purpose of this study is to correlate the level of serum LDH with the degree of OSCC and to evaluate the role of serum LDH as a prognostic marker in OSCC. Methods: The investigators designed and implemented a prospective cohort study composed of patients with OSCC (n = 66) sub-grouped as follows: 2A-well-differentiated (n = 22), 2B-moderately differentiated (n = 22), 2C-poorly differentiated OSCC (n = 22), and normal healthy controls (n = 40). The primary outcome variable was the serum LDH measured at baseline (pre-treatment) and 2 and 12 months post-treatment in OSCC patients. The statistical analysis was performed using the student t-test and analysis of variance, and the P value was set at 0.05. Results: The habit of alcohol consumption alone as a single habit was found only in males (17.5%) (P = 0.3343), whereas betel quid chewing was more common among females (P = 0.0182). A significant difference was observed in the mean serum LDH between OSCC subjects (pre-treatment) (831.56 ± 93.43 IU/L) and controls (188.82 ± 25.53 IU/L), P < 0.00001. The baseline serum LDH was significantly higher in subgroup 2C (933.41 ± 46.1969 IU/L) than in the 2A (742.59 ± 46.5676 IU/L) and 2B (818.68 ± 58.1643 IU/L) subgroups (P = 0). There was a significant decline in the serum LDH within 2 months after treatment, and a further decrement was observed during a 12-month follow-up among the survivors of all three subgroups; P < 0.00001. Conclusion: Serum LDH can play a dual role as a reliable indicator of the degree of OSCC for decision-making in treatment modalities and as a prognostic marker of response to therapy.

Discrepancy between biomarkers of lung injury and 1-year mortality in COVID-19.

BACKGROUND: COVID-19 global pandemic started in late 2019 with the first wave. In this cross-sectional and observational study, we evaluated the associations between the biomarkers, COVID-19 pneumonia severity and 1-year mortality. METHODS: A sample of 276 polymerase chain reaction (PCR)-positive patients for SARS-CoV-2 was included. Computerized tomography severity score (CT-SS) was used to assess the severity of COVID-19 pneumonia in 222 cases. Multivariate analyses were performed to find the predictors of CT-SS, severe CT-SS (≥20) and 1-year mortality. Biomarkers of ferritin, high-sensitive C-reactive protein (CRP), lactate dehydrogenase (LDH), cardiac troponin (cTn), neutrophil-to-lymphocyte ratio (NLR), uric acid (UA) and d-dimer were routinely measured. RESULTS: Severe CT-SS (>20) was observed in 86 (31.2%) cases. Mortality was observed in 75 (27.2%) patients at 1 year. LDH displayed the highest predictive accuracy for severe CT-SS (AUC 0.741, sensitivity = 81% and specificity = 68%, cut-off value: 360 mg/dl). Linear regression analysis displayed that LDH predicted CT-SS [B = 11 (95% CI for B = 5-17, p < .001)]. Age was the most significant parameter that was associated with severe CT-SS (OR 0.96, 95% CI 0.92-0.99, p = .015). d-dimer was the only biomarker that predicted with 1-year mortality (OR 1.62, 95% CI 1.08-2.42, p = .020). CONCLUSION: LDH is a sensitive and specific biomarker to determine patients with severe lung injury in COVID-19. d-dimer is the only biomarker that predicts 1-year mortality. Neither LDH nor CT-SS is associated with 1-year mortality.

ROS and iron homeostasis dependent ferroptosis play a vital role in 5-Fluorouracil induced cardiotoxicity in vitro and in vivo.

5-Fluorouracil (5-FU) was a key chemotherapeutic agent in the treatment of different solid tumors. However, cardiotoxicity was included among the therapeutic strategies of 5-FU. The molecular mechanism of cardiotoxicity induced by 5-FU remains unclear. The aim of the study was to investigate whether ferroptosis was involved in 5-FU-induced cardiotoxicity in vivo and in vitro. The in vivo cardiotoxicity model was induced by intraperitoneal injection of 5-FU at the dose of 15, 30, 60 mg/kg for 7 days. Body weight, general condition and plasma enzyme activities of the mice were observed to evaluate heart function. In addition, HE staining, MASSON staining and TEM technology was used. Western-blot analysis were performed to evaluate the protein level of iron transport, iron storage and reactive oxygen species (ROS) of ferroptosis. In H9c2 cardiomyocyte cells, cell viability, generation of ROS, mitochondrial activity and cellular Fe2+ levels were measured. The in vivo results showed that 5-FU significantly impaired cardiac function and structure. The serum creatine kinase (CK) and lactate dehydrogenase (LDH) levels were significantly increased in 5-FU group. HE and MASSON staining showed that 5-FU caused structural injuries. In addition, 5-FU increased the level of ferroptosis markers involving malonaldehyde (MDA) and Fe2+ content. Ferrostatin-1 (Fer-1) was an aromatic amine that specifically binds with lipid ROS and protects cells against lipid peroxidation. Furthermore, 5-FU markedly induced ferroptosis in H9c2 cardiomyocyte cells, which mainly embodied as declined cell vitality, accumulated iron, elevated lipid peroxides. Conversely, inhibition of ferroptosis by Fer-1 completely abolished 5-FU-induced effects. Both in vivo and in vitro experiments indicated that 5-FU increased the expression of ferroptosis, mainly by reducing the expression of glutathione peroxidase 4 (GPX4) and ferritin heavy chain 1 (FTH1), but enhancing the expression of transferrin receptor 1 (TfR1). In conclusion, the present study suggested that ROS and iron homeostasis dependent ferroptosis played a vital role in 5-FU induced cardiotoxicity.

Therapeutic Response Evaluation in Advanced Melanoma Patients Incorporating Plasma cfDNA, LDH, VEGF, PD-L1, and IFN-γ Measurements.

BACKGROUND/AIM: Current treatment strategies for advanced melanoma require serial assessment of disease status in affected patients. In this study, we sought to examine the relationship between radiographic tumour burden and blood borne biomarkers including plasma cfDNA, serum LDH, plasma VEGF, PD-L1 and IFN-γ in advanced melanoma patients receiving immunotherapy. We hypothesized that a combination of these explanatory variables in a suitable regression analysis model may predict changes in tumour burden during patient treatment. MATERIALS AND METHODS: We extracted and quantified circulating cfDNA, LDH, VEGF, PD-L1, and IFN-γ from thirty patients with stage IV melanoma at baseline and at six months. All participating patients were evaluated with paired blood sample collection and CT scan assessments during treatment. RESULTS: Changes in radiographic tumour burden correlated with changes in levels of cfDNA (p≤0.001), LDH (p≤0.001), VEGF (p≤0.001), and PD-L1 (p<0.05) during treatment. Multiple regression analysis consisting of the follow-up to baseline assessment ratios of cfDNA, LDH, VEGF and PD-L1 explained changes in tumour burden (F (4, 23)=32.05, p<0.001); with an R2 of 0.8479 (Y=ß0+ß1*B+ß2*C+ß3*D+ß4*E). CONCLUSION: A quantitative measure of cfDNA, LDH, VEGF and PD-L1 may complement current methods of assessing tumour burden in advanced melanoma patients.

Prognostic Value of Combined Lactate Dehydrogenase, C-Reactive Protein, Cancer Antigen 153 and Cancer Antigen 125 in Metastatic Breast Cancer.

BACKGROUND: Breast cancer (BC), especially metastatic BC, is one of the most lethal diseases in women. CA 125 and CA 15-3 are commonly used indicators for diagnosis and prognosis of BC. Some serological indicators, such as lactate dehydrogenase (LDH) and C-reactive protein (CRP), can also be used to assess the prognosis and progression in BC. METHODS: Univariate Cox regression analysis and LASSO regression analysis were performed to identify prognostic factors and build prognostic models. We distributed the patients into 2 groups based on the median risk score, analyzed prognosis by Kaplan-Meier curve, and screened independent prognostic factors by multivariate Cox regression analysis. RESULT: We identified 4 indicators-LDH, CRP, CA 15-3, and CA 125-related to the prognosis in BC and established a prognostic model. The high LDH group showed worse overall survival (OS) than low LDH group (P = .017; hazard ratio (HR), 1.528; 95% confidence interval (CI), 1.055-2.215). The high CRP group showed worse OS than low CRP group (P = .004; HR, 1.666; 95% CI, 1.143-2.429). The high CA153 group showed worse OS than low CA 15-3 group (P=.011; HR, 1.563; 95% CI, 1.075-2.274). The high CA 125 group showed worse OS than low CA 125 group (P = .021; HR, 1.499; 95% CI, 1.031-2.181). The area under the curve for risk score was .824, Ki-67 was .628, age was .511, and grade was .545. Risk score was found to be an independent prognostic factor using multivariate Cox regression analysis. CONCLUSION: We successfully established an optimization model by combining 4 prognosis-related indicators to assess the prognosis in patients with metastatic BC.

High score of LDH plus dNLR predicts poor survival in patients with HER2-positive advanced breast cancer treated with trastuzumab emtansine.

OBJECTIVE: To investigate the prognostic value of derived neutrophil to lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH) in patients with advanced HER2 positive breast cancer treated with trastuzumab emtansine. METHODS: Fifty one patients with advanced HER2 positive breast cancer who received T-DM1 treatment in Harbin Medical University Cancer Hospital were selected. The clinical data and blood test indexes were collected, and the ROC curve determined the optimal cut-off value. Kaplan-Meier survival curve and Cox regression model was used to analyze the effect of different levels of dNLR,LDH,LNI (dNLR combined with LDH index) before and after T-DM1 treatment on the survival of patients. RESULTS: The median PFS and OS of the patients with advanced HER2 positive breast cancer who received T-DM1 treatment were 6.9 months and 22.2 months, respectively. The optimal cut-off value of LDH and dNLR before T-DM1 treatment was 244 U / L (P = 0.003) and 1.985 (P = 0.013), respectively. Higher LDH and dNLR were significantly correlated with shorter median PFS and OS (P < 0.05). The median PFS of patients with LNI (0), LNI (1) and LNI (2) were 8.1 months, 5.5 months and 2.3 months, respectively, P = 0.007. Univariate and multivariate analysis showed that LDH > 244 U / L, dNLR > 1.985, LNI > 0, ECOG ≥1 and HER-2 (IHC2 +, FISH+) before the T-DM1 treatment were the poor prognostic factors. LDH uptrend after the T-DM1 treatment also predicted poor prognosis. CONCLUSION: Serum LDH > 244 U / L and dNLR > 1.985 before the T-DM1 treatment were prognostic risk factors for patients with advanced HER2 positive breast cancer receiving T-DM1 treatment. The higher LNI score was significantly associated with shorter PFS and OS. LDH uptrend after T-DM1 treatment was also related to the poor prognosis.

CYFRA21-1 is a more sensitive biomarker to assess the severity of pulmonary alveolar proteinosis.

BACKGROUND: Serum lactate dehydrogenase (LDH), carcinoembryonic antigen (CEA) and CYFRA21-1 are the commonly used biomarkers to identify patients with autoimmune pulmonary alveolar proteinosis (APAP). However, it is not clear which of the biomarkers is more sensitive to the severity of the patient's condition. METHODS: APAP patients numbering 151 were enrolled in this study. All patients' severity was assessed through the severity and prognosis score of PAP (SPSP). According to the respective laboratory upper limits of serum levels of LDH, CEA and CYFRA21-1, APAP patients were divided into higher and lower-level groups. Patients were divided into five groups based on SPSP. 88 patients had completed six months of follow-up. We calculated sensitivity, specificity, and critical point of LDH, CEA and CYFRA21-1 between APAP patients and normal control group, and between grade 1-2 and 3-5 through receiving operating characteristics (ROC) curve. RESULTS: Serum LDH, CEA and CYFRA21-1 levels of patients with PAP were higher and distinctly related to PaO2, FVC, FEV1, DLCO, HRCT scores and SPSP. The SPSP of patients in higher-level LDH, CEA and CYFRA21-1 groups were higher than those of corresponding lower-level groups. Based on SPSP results, the patients were divided into five groups (grade I, 20; grade II, 37; grade III, 40; grade IV, 38; grade V, 16). The serum level of CYFRA21-1 of patients with APAP in grade II was higher than that of patients in grade I and lower than that of patients in grade III. Serum CYFRA21-1 of patients with APAP after six months were higher than the baseline among the aggravated group. Serum LDH, CEA and CYFRA21-1 levels after six months among patients in the relieved group of patients with APAP were lower than the baseline. ROC correlating LDH, CEA and CYFRA21-1 values with APAP severity (between grade 1-2 and 3-5) showed an optimal cutoff of LDH of over 203 U/L (< 246 U/L), CEA of over 2.56 ug/L (< 10 ug/L), and CYFRA21-1 of over 5.57 ng/ml (> 3.3 ng/ml) (AUC: 0.815, 95% CI [0.748-0.882], sensitivity: 0.606, specificity: 0.877). CONCLUSION: Serum CYFRA21-1 level was more sensitive in revealing the severity of APAP than LDH and CEA levels among mild to moderate forms of disease.

Elevated inflammatory markers are associated with poor outcomes in COVID-19 patients treated with remdesivir.

The antiviral remdesivir has been shown to decrease the length of hospital stay in coronavirus disease 2019 (COVID-19) patients requiring supplemental oxygen. However many patients decompensate despite being treated with remdesivir. To identify potential prognostic factors in remdesivir-treated patients, we performed a retrospective cohort study of patients hospitalized at NewYork-Presbyterian Hospital/Weill Cornell Medical Center between March 23, 2020 and May 27, 2020. We identified 55 patients who were treated with remdesivir for COVID-19 and analyzed inflammatory markers and clinical outcomes. C-reactive protein (CRP), d-dimer, and lactate dehydrogenase levels were significantly higher in patients who progressed to intubation or death by 14 days compared to those who remained stable. CRP levels decreased significantly after remdesivir administration in patients who remained nonintubated over the study period. To our knowledge, this is the largest study to date examining inflammatory markers before and after remdesivir administration. Our findings support further investigation into COVID-19 treatment strategies that modify the inflammatory response.

Plasma tumor DNA is associated with increased risk of venous thromboembolism in metastatic castration-resistant cancer patients.

Cancer is a risk factor for venous thromboembolism (VTE). Plasma tumor DNA (ptDNA) is an independent predictor of outcome in metastatic castration-resistant prostate cancer (mCRPC). We aimed to investigate the association between ptDNA and VTE in mCRPC. This prospective biomarker study included 180 mCRPC patients treated with abiraterone and enzalutamide from April 2013 to December 2018. We excluded patients with a previous VTE history and/or ongoing anticoagulation therapy. Targeted next-generation sequencing was performed to determine ptDNA fraction from pretreatment plasma samples. VTE risk based on survival analysis was performed using cumulative incidence function and estimating sub-distributional hazard ratio (SHR). At a median follow-up of 58 months (range 0.5-111.0), we observed 21 patients who experienced VTE with a cumulative incidence at 12 months of 17.1% (95% confidence interval [CI] 10.3-23.9). Elevated ptDNA, visceral metastasis, prior chemotherapy and lactate dehydrogenase (LDH) were significantly associated with higher VTE incidence compared to patients with no thrombosis (12-month estimate, 18.6% vs 3.5%, P = .0003; 44.4% vs 14.8%, P = .015; 24.7% vs 4.5%, P = .006; and 30.0% vs 13.5%, P = .05, respectively). In the multivariate analysis including ptDNA level, visceral metastases, number of lesions and serum LDH, high ptDNA fraction was the only independent factor associated with the risk of thrombosis (HR 5.78, 95% CI 1.63-20.44, P = .006). These results first suggest that baseline ptDNA fraction in mCRPC patients treated with abiraterone or enzalutamide may be associated with increased VTE risk. These patients may be followed-up more closely for the VTE risk, and the need for a primary thromboprophylaxis should be taken into account in mCRPC with elevated ptDNA.

Perineural invasion, lactate dehydrogenase, globulin, and serum sodium predicting occult metastasis in oral cancer.

OBJECTIVE: This study aimed to develop a nomogram to predict the neck occult metastasis in early (T1-T2 cN0) oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS: The nomogram was developed in a training cohort of 336 early OSCC patients and was validated in a validation cohort including 88 patients. Independent predictors were calculated by univariate and multivariate logistic regression analyses. RESULTS: In univariate logistical regression analysis, gender, perineural invasion (PNI), blood vessel invasion, mean corpuscular hemoglobin, aspartate aminotransferase, prealbumin, globulin (GLO), lactate dehydrogenase (LDH), serum sodium (NA), and serum chloride were significant associated with neck occult metastasis. Multivariate logistical regression analysis identified PNI (p < .001), LDH (p = .003), GLO (p = .019), and NA (p = .020) as independent predictors of neck occult metastasis. Cut-off values for LDH, GLO, and NA obtained from AUC were 142.5, 26.35, and 139.5, respectively. The nomogram based on PNI and categorical GLO, LDH, and NA exhibited a strong discrimination, with a C-indexes of 0.748 (95%CI = 0.688 to 0.810) in the training cohort and 0.751 (95%CI = 0.639 to 0.863) in the validation cohort. CONCLUSIONS: A nomogram based on PNI, LDH, GLO, and NA for predicting the risk of neck lymph nodes occult metastasis in OSCC could help surgeons with therapy decision-making.

A close-up view of dynamic biomarkers in the setting of COVID-19: Striking focus on cardiovascular system.

Based on the recent reports, cardiovascular events encompass a large portion of the mortality caused by the COVID-19 pandemic, which drawn cardiologists into the management of the admitted ill patients. Given that common laboratory values may provide key insights into the illness caused by the life-threatening SARS-CoV-2 virus, it would be more helpful for screening, clinical management and on-time therapeutic strategies. Commensurate with these issues, this review article aimed to discuss the dynamic changes of the common laboratory parameters during COVID-19 and their association with cardiovascular diseases. Besides, the values that changed in the early stage of the disease were considered and monitored during the recovery process. The time required for returning biomarkers to basal levels was also discussed. Finally, of particular interest, we tended to abridge the latest updates regarding the cardiovascular biomarkers as prognostic and diagnostic criteria to determine the severity of COVID-19.

Prognostic Value of ALP and LDH in Periampullary Carcinoma Patients Undergoing Surgery.

OBJECTIVE: Conversion of normal cells to cancer cells is often accompanied by abnormal synthesis of serum enzymes. Both alkaline phosphatase (ALP) and lactate dehydrogenase (LDH) have been reported to have prognostic value in a variety of malignancies. The aim of this study was to investigate the effect of preoperative serum ALP and LDH levels on the prognosis of patients with periampullary carcinoma who underwent pancreatoduodenectomy (PD). METHODS: According to the preoperative ALP or LDH values, 856 cancer patients receiving PD treatment from January 2001 to January 2019 were divided into high-ALP group and low-ALP group or high-LDH group and low-LDH group. Statistical analysis was carried out to study the differences between the high-ALP and low-ALP groups or the high-LDH and low-LDH groups. Furthermore, the possibility of preoperative ALP or LDH as prognostic factor of periampullary carcinoma was investigated. RESULTS: In both the high-ALP and the high-LDH groups, the prognosis of patients with periampullary carcinoma who underwent PD was worse than that of the low-ALP and low- LDH group. Even through risk factor analysis, it was found that preoperative ALP and LDH could be independent prognostic factor for patients with periampullary carcinoma who underwent PD. CONCLUSION: Preoperative ALP or LDH is an independent risk factor for periampullary carcinoma.

Basic Predictive Risk Factors for Cytokine Storms in COVID-19 Patients.

Objective: A critical role in coronavirus disease 2019 (COVID-19) pathogenesis is played by immune dysregulation that leads to a generalized uncontrolled multisystem inflammatory response, caused by overproduction of proinflammatory cytokines, known as "a cytokine storm" (CS), strongly associated with a severe course of disease. The aim of this study is to identify prognostic biomarkers for CS development in COVID-19 patients and integrate them into a prognostic score for CS-associated risk applicable to routine clinical practice. Materials and Methods: The authors performed a review of 458 medical records from COVID-19 patients (241 men and 217 women aged 60.0 ± 10.0) who received treatment in the St. Petersburg State Budgetary Institution of Healthcare City Hospital 40 (City Hospital 40, St. Petersburg), from Apr. 18, 2020 to Nov. 21, 2020. The patients were split in two groups: one group included 100 patients with moderate disease symptoms; the other group included 358 patients with progressive moderately severe, severe, and extremely severe disease. The National Early Warning Score (NEWS) score was used alongside with clinical assessment, chest computed tomographic (CT) scans, electrocardiography (ECG), and lab tests, like ferritin, C-reactive protein (CRP), interleukin (IL)-6, lactate dehydrogenase (LDH), and D-dimer. Results: The basic risk factors for cytokine storms in COVID-19 patients are male gender, age over 40 years, positive test result for replicative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA, absolute lymphocyte count, dynamics in the NEWS score, as well as LDH, D-dimer, ferritin, and IL-6 levels. These clinical and instrumental findings can be also used as laboratory biomarkers for diagnosis and dynamic monitoring of cytokine storms. The suggested prognostic scale (including the NEWS score dynamics; serum IL-6 greater than 23 pg/ml; serum CRP 50 mg/L or greater; absolute lymphocyte count less than 0.72 × 109/L; positive test result for replicative coronavirus (SARS-CoV-2) RNA; age 40 years and over) is a useful tool to identify patients at a high risk for cytokine storm, requiring an early onset of anti-inflammatory therapy.

Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classified by machine learning algorithms in patients with early stage ovarian cancer, which has rarely been reported. METHODS: In total, 730 serum samples were assayed for lactate dehydrogenase (LD), neutrophil-to-lymphocyte ratio (NLR), human epididymis protein 4 (HE4), cancer antigen 125 (CA125), and risk of ovarian malignancy algorithm (ROMA). Among them, 53 were diagnosed with early stage ovarian cancer, and the remaining 677 were diagnosed with benign disease. RESULTS: The areas under the receiver operating characteristic curves (ROC-AUCs) of the ROMA, HE4, CA125, LD, and NLR for discriminating ovarian cancer from non-cancerous disease were .707, .680, .643, .657, and .624, respectively. ROC-AUC of the combination of ROMA and LD (.709) was similar to that of single ROMA in the total population. In the postmenopausal group, ROC-AUCs of HE4 and CA125 combined with LD presented the highest value (.718). When machine learning algorithms were applied to ROMA combined with LD, the ROC-AUC of random forest was higher than that of other applied algorithms in the total population (.757), showing acceptable performance. CONCLUSION: Our data suggest that the combinations of ovarian cancer-specific markers with LD classified by random forest may be a useful tool for predicting ovarian cancer, particularly in clinical settings, due to easy accessibility and cost-effectiveness. Application of an optimal combination of cancer markers and algorithms would facilitate appropriate management of ovarian cancer patients.