Panel of serum long non-coding RNAs as potential non-invasive biomarkers for gallbladder carcinoma.

Gallbladder carcinoma (GBC) is a common malignancy and is usually diagnosed in the late stages of the disease. The identification of new effective early diagnostic biomarkers could represent an effective approach in reducing mortality in GBC. Altered expression of long non-coding RNAs (lncRNAs) is believed to be associated with the emergence and development of GBC. Our study aims to identify the expression of a range of circulating lncRNAs, including HOTAIR, ANRIL, H19, CCAT1 and MEG3, in matched serum and tissues of GBC for diagnosis and its association with clinicopathological features. The case and control study included matched serum and tissues from 63 GBC, 19 cholecystitis (CC), and 46 normal controls (NC). RNA extraction and cDNA synthesis from serum and fresh tissue match were performed using commercially available kits. Relative expression was assessed using SYBR Green real-time quantitative polymerase chain reaction. Circulating lncRNA levels including HOTAIR, ANRIL and H19 were upregulated in serum samples, while MEG3 and CCAT1 were downregulated in GBC compared to controls. The trend towards upregulation and downregulation was comparable in the tissue. HOTAIR and MEG3 levels were significantly different between serum CC and early-stage GBC (p = 0.0373, 0.0020), while H19 was significantly upregulated comparing early-stage GBC to advanced-stage GBC (p = 0.018). The expression of ANRIL was significant with M stage (p = 0.0488), H19 with stage (p = 0.009), M stage (p=<0.0001) & stage (0.009) and CCAT1 with M stage (0.044). When distinguishing GBC and NC, AUC for HOTAIR was 0.75, ANRIL 0.78, H19 0.74, CCAT1 0.80 and 0.96 for MEG3. The combination sensitivity for lncRNAs ranged from 84.13% (CI: 72.74-92.12%) to 100.0% (CI: 94.31-100.0%). Significant diagnostic value in discriminating pathologic stage was observed for ANRIL and MEG3 (p = 0.022, p = 0.0005). LncRNA show a significant change in expression in GBC and in discrimination of early stage from late-stage disease. The detection of 2 lncRNAs in panels, in coordination with radiology, could represent a potential serum-based biomarker for early-stage GBC diagnosis.

Diagnostic Utility of Next-Generation Sequencing in Circulating Free DNA and a Comparison With Matched Tissue in Gallbladder Carcinoma.

Mutation detection for therapy monitoring in cell-free DNA (cfDNA) is used clinically for some malignancies. Gallbladder carcinoma (GBC) presents a diagnostic challenge and has limited late-stage treatment options. To our knowledge, this novel study examines, for the first time, genomic alterations in cfDNA from GBC to assess diagnostic accuracy and therapeutic options. The concordance of somatic genomic changes in cfDNA and DNA from paired tumor tissue was analyzed. Paired serum and tissue samples from 40 histologically proven GBC, 20 cholecystitis, and 4 normal (noninflamed gallbladder) controls were included. Targeted next-generation sequencing with a 22-gene panel (Colon and Lung Cancer Research Panel v2, Thermo Scientific) in cfDNA and tumor tissue with high depth and uniform coverage on ION Personal Genome Machine (ION, PGM) was performed. A spectrum of 223 mutations in cfDNA and 225 mutations in formalin-fixed paraffin-embedded tissue DNA were identified in 22 genes. Mutations ranged from 1 to 17 per case. In cfDNA frequent alterations were in TP53 (85.0%), EGFR (52.5%), MET (35%) CTNNB1, SMAD4, BRAF (32.5%), PTEN (30%), FGFR3 and PIK3CA (27.5%), NOTCH1 (25.0%), and FBXW7 and ERBB4 (22.5%). At least one clinically actionable mutation was identified in all cfDNA samples. Paired samples shared 149 of 225 genetic abnormalities (66.2%). Individual gene mutation concordance ranged from 44.44% to 82.0% and was highest for EGFR (82.0%), BRAF and NOTCH1 (80.0%), TP53 (73.08%), MET (72.22%), and ERBB4 (71.42%) with a significant level of correlation (Spearman r = 0.91, P ≤ .0001). The sensitivity and specificity of the TP53 gene at the gene level was the highest (94.44% and 100.0%, respectively). Overall survival was higher for ERBB4 and ERBB2 mutant tumors. The adenocarcinoma subtype revealed specific genetic changes in ERBB4, SMAD4, ERBB2, PTEN, KRAS, and NRAS. NGS-based cfDNA mutation profiling can be used to diagnose GBC before surgery to guide treatment decisions. Targeted therapy identified in GBC included SMAD4, ERBB2, ERBB4, EGFR, KRAS, BRAF, PIK3CA, MET, and NRAS.

Concomitant Non-V600E BRAF and KRAS Mutations in Colorectal Carcinoma by Next-Generation Sequencing: A Distinct Subtype.

The RAS-RAF-MEK-ERK signaling cascade is the most frequently affected signaling pathway in colorectal cancer. BRAFV600E mutations serve as a drug-treatable hotspot and KRAS mutations as a predictor of susceptibility to anti-epidermal growth factor receptor therapy. Concomitant non-V600E BRAF and KRAS mutations may coexist and are rarely reported in the literature. We report a patient of colorectal carcinoma with inguinal lymph node metastases harboring mutations at the KRAS and BRAF non-V600E mutation codon detected by next-generation sequencing with an emphasis on clinical, pathological, and therapeutic implications of the mutation and review of the literature.

Post-mortem interval estimation using miRNAs of road traffic accident cases: A forensic molecular approach.

In forensic examination accurate estimation of post-mortem interval (PMI) is a challenging task, particularly in the advanced stages of decomposition. The existing methods (algor mortis, livor mortis, rigor mortis, putrefaction etc) used for estimating PMI rely on analyzing the physical, biochemical, and metabolic changes that occur in the corpse after death. While these methods have shown some level of effectiveness in estimating PMI during the early stages of decomposition, accurate estimation becomes increasingly challenging during the later stages of putrefaction when the body undergoes significant changes. Recently, microRNA (miRNA) profiling due to its relatively small size and stability has emerged as a promising tool in several areas of forensics. This study demonstrates the potential of miRNA for PMI estimation in advanced stages of death. In this study, miRNA-195, miRNA-206, and miRNA-378 were selected as target miRNAs and miRNA-1 as reference miRNA. Left ventricle tissue (5 g) of the heart from 20 forensic autopsies of traffic accident victims (18-32 years) were collected and processed. The samples were held at room temperature for eight different time intervals (12, 24, 48, 72, 96, 120, 168 and 196 h), and RNA was extracted from all the samples using Trizol-based RNA isolation protocol, followed by cDNA synthesis and amplification with commercially available specific miRNA probes in Real-Time PCR (RT-PCR), Ct was calculated. The result showed that miRNAs were associated with PMI. Over time, there were substantial changes in the Ct values of all three miRNAs, with significant reductions observed at 196 h compared to 12 h. miRNA-206 demonstrated significant changes at multiple time intervals, while miRNA-1 remained stable for up to 196 h and thus holds caas an endogenous marker. In conclusion, miRNA has the potential to serve as a valuable tool for estimating PMI, especially during the advanced stages of decomposition, when used in conjunction with established techniques. However, further validation of the study is required to obtain more accurate estimates of PMI.

Circulating free DNA integrity index and promoter methylation of tumor suppressor gene P16, DAPK and RASSF1A as a biomarker for oropharyngeal squamous cell carcinoma.

Circulating free DNA (cfDNA) is in use for the non-invasive diagnosis of tumors. Methylation of tumor suppressor genes (TSGs) is an early event in carcinogenesis and may serve as tumor biomarker. We have investigated cfDNA integrity and methylation of tumor suppressor genes P16, DAPK and RASSF1A in serum cfDNA of oropharyngeal squamous cell carcinoma (OPSCC) comparing paired serum and tumor tissue samples to evaluate their diagnostic use. Prospective case-control study, paired serum and tissue samples from 56 OPSCC, and 15 normal controls (NC). Sybr green Quantitate real time PCR was used for cfDNA quantification through amplification ALU 115 and 247 fragments. Promoter methylation of was analyzed in paired samples using methylation specific PCR. There was significantly high cfDNA integrity in OPSCC compared to normal control (p = < 0.0001). The cfDNA integrity values were significantly higher and associated with nodal status (p = 0.016). The AUC for cfDNA integrity was 0.967. The P16, DAPK and RASSF1 promoters were significantly hypermethylated in serum of OPSCC compared to NC with high concordance in tissue (up to 96.55 %). The gene promoter methylation of P16 was associated with smoking (p = 0.030), RASSF1A with stage (p = 0.011). The combination of ALU115 with cfDNA integrity and combination of gene methylation increases diagnostic sensitivity. In followup samples the cfDNA change was not different. Liquid biopsy approach including cfDNA integrity, methylation profiling in cfDNA, in combination or separately can assist in the diagnosis of OPSCC along with radio diagnostic scan. Serum changes represent changes in tissue with very high concordance.

Immunophenotypic characterization of normal and abnormal plasma cells in bone marrow of newly diagnosed multiple myeloma patients.

Background: Identification of plasma cells into abnormal (APC) and normal (NPC) compartments is of utmost importance in flow cytometric (FC) analysis of multiple myeloma (MM) and related plasma cell dyscrasias for diagnosis, prognosis, and follow-up. No single phenotypic marker is sufficient to distinguish NPC from APC. Materials and Methods: 43 newly diagnosed cases of MM and 13 controls were included in the study. Bone marrow (BM) samples from the 2nd pass were processed on the same day with antibodies against CD38, CD138, CD19, CD81, CD45, CD117, CD200, CD56, cytoKappa, and cytoLambda in a 4-color experiment with CD38 and CD138 as gating antibodies. Results: Mean APC% in cases was 96.5%. The expected Immunophenotype (IP) of APC which is CD19-/56+/45-/81-/117+/200+ was found in only 13/43 MM cases. In 30/43 cases, APC revealed deviation from expected IP either for single or a combination of markers. Sensitivity for APC detection was highest for CD19 (95.2%) followed by CD56 (90.4%) and CD81 (83.7%). Specificity was highest for CD19 (100%), CD56 (100%), and CD81 (100%) followed by CD117 (92.3%). Combination of markers with maximum sensitivity to detect APC (97.6%) was CD81- or CD19- and CD200+ or CD56+ (two markers); and for NPC (92.3%) was CD81+ and CD19+ and CD56- (three markers). Conclusion: Plasma cell IP can be highly variable with multiple minor subpopulations in both cases and normal controls. CD 19 and CD56 are highly informative markers for a 4-color experiment. Assessment of multiple markers in an 8-10 color experiment is more informative but the lack of advanced flow cytometers should not limit the use of FC in a 4-color approach. Our results emphasize that even basic equipment with limited fluorochrome can provide meaningful information if used appropriately.

Detection of IDH1 Mutation in cfDNA and Tissue of Adult Diffuse Glioma with Allele-Specific qPCR.

BACKGROUND: The World Health Organization (WHO) classification of central nervous system (CNS) tumors necessitates testing of isocitrate dehydrogenase (IDH) 1/2 gene mutation in patients with adult-type diffuse glioma (ADG) for better disease management. In clinical practice, the testing of IDH1 is primarily achieved using immunohistochemistry (IHC) specific to IDH1-R132, which carries a sensitivity of 80% and specificity of 100%. However, in some cases, non-specific background staining or regional heterogeneity in the protein expression of IDH1 may necessitate confirmatory genetic analysis. Robust and reliable assays are needed for IDH1/2 mutation testing. The aim of the current study was to detect IDH1 mutation in cfDNA and tissue of adult-type diffuse glioma with allele-specific qPCR. MATERIALS AND METHODS: In the current study, IDH1-R132H mutation was analyzed in tumor tissue with paired cell-free DNA (cfDNA) in patients with ADG (n = 45) using IHC and competitive allele-specific Taqman PCR (CAST-PCR). Genomic DNA was extracted from formalin-fixed paraffin-embedded (FFPE) tissue and matched serum for cfDNA using commercially available kits. CAST-PCR with IHC for the detection of IDH1-R132H mutation was also compared. RESULTS: The IDH1-R132H mutation was detected in 46.67% (21/45) cases and 57.78% (26/45) cases using IHC and allele-specific CAST-PCR. In cfDNA of matched IDH1-mutant FFPE tissue DNA, IDH1-R132H mutation was detected in 11.54% (3/26) using CAST-PCR. The concordance rate for IDH1-R132Hmutation between IHC and CAST-PCR was 80.77% (21/26). CONCLUSION: The CAST-PCR assay is more precise and sensitive for  IDH1-R132Hdetection than traditional IHC, and IDH1-R132H mutation detection using cfDNA may add to the current methods of glioma genomic characterization.

Next Generation Sequencing in Vitellointestinal Duct Adenoma: Existence of Adenoma-Carcinoma Sequence or too Early to Predict?

Patent vitello-intestinal duct with adenoma is rare presentation. We report a case of a 1-month-old boy presenting with intermittent passage of stool and blood from the umbilicus since birth. On local examination polypoidal mass measuring 1×1 cm was seen protruding from umbilicus with faecal discharge. Ultrasound was performed which revealed a tubular hyperechoic structure, extending from umbilicus to part of small intestine measuring 30 ×30 mm and clinical diagnosis of patent vitello-intestinal duct was given, exploratory laparotomy, excision with umbilicoplasty done, and send for histopathological examination. On histopathological examination, patent vitello-intestinal duct adenoma was rendered and next generation sequencing (NGS) was performed revealing somatic mutation of KRAS (NM_033360.4; c.38G>A; p.Gly12Asp). To our knowledge, this is the first report of the adenoma in patent vitello-intestinal duct with NGS analysis. This case emphasizes the importance of thorough microscopic examination of resected patent vitello-intestinal duct and mutational analysis of the early lesions.

Circulating microRNAs in gallbladder cancer: Is serum assay of diagnostic value?

The microRNAs (miRNAs) in circulation could serve as biomarkers for cancer detection. Gallbladder carcinoma (GBC) is mostly asymptomatic; therefore, using microRNAs (miRNAs) as an early diagnostic biomarker could be a valuable tool. We aimed to identify the tumor-associated miR-1, miR130, miR-146, miR-182, and miR-21expression in serum as a biomarker for early detection of GBC and identify their possible diagnostic role. The study group comprised of paired serum and tissue samples from 34 GBC, 19 cholecystitis (CC), 21 normal controls (uninflamed gall bladder), and additional 29 serum-only samples of GBC. Total RNA was isolated using a commercially available RNA isolation kit (Applied Biosystem, USA) and reverse transcribed using Advanced Taqman MicroRNA reverse transcription kit. The relative expression of miRNAs was analyzed using Quantitative real-time polymerase chain reaction. The diagnostic potential of these miRNAs was assessed by ROC analysis. In paired samples, the trend towards up and down regulation for miR-182, miR-21, miR-1, miR-130, and miR-146 was similar in both tissue and sera of GBC. The expression pattern of serum miR-1, miR130, and miR-146 gradually decreased from normal control (NC) to CC to GBC, while miR-21 and miR-182 gradually increased from NC to CC to GBC. The miR-1, miR-121, miR-182, and miR-146 significantly differed between CC vs. early stage and early stage vs. NC. Among these miRNAs, the sensitivity of miR-1 (85.71 %) was the highest, and the specificity of miR-21 was the highest (92.73 %). The combined sensitivity for miRNAs ranged from 73.13 % (CI: 60.90-83.24 %) to 98.63 % (CI: 89.0-99.61 %); however, the specificity was lower. In stage I&II vs. III&IV discrimination, the diagnostic sensitivity of miR-1 was highest (89.36 %, CI: 76.90-96.45). The two miRNAs, in combination, increase the diagnostic sensitivity. Circulating serum miRNAs may provide a new approach for clinical application. Panels of specific circulating miRNA, which require further validation, could be potential non-invasive diagnostic biomarkers for GBC in combination with abnormal radio diagnostic scans.

Monocyte HLADR and Immune Dysregulation Index as Biomarkers for COVID-19 Severity and Mortality.

Immune dysregulation in COVID-19 is the major causal factor associated with disease progression and mortality. Role of monocyte HLA-DR (mHLA-DR), neutrophil CD64 (nCD64) and Immune dysregulation index (IDI) were studied in COVID-19 patients for assessing severity and outcome. Results were compared with other laboratory parameters. Antibody bound per cell for mHLA-DR, nCD64 and IDI were measured in 100 COVID-19 patients by flow cytometry within 12 h of hospital admission. Thirty healthy controls (HC) were included. Clinical and laboratory parameters like C - reactive protein (CRP), Procalcitonin (PCT), Absolute Lymphocyte count (ALC), Absolute Neutrophil count (ANC) and Neutrophil to Lymphocyte ratio (NLR) were recorded. Patients were followed up until recovery with discharge or death. Parameters from 54 mild (MCOV-19), 46 severe (SCOV-19) and 30 HC were analysed. mHLA-DR revealed significant and graded down regulation in MCOV-19 and SCOV-19 as compared to HC whereas IDI was lowest in HC with increasing values in MCOV-19 and SCOV-19. For diagnostic discrimination of MCOV-19 and SCOV-19, IDI revealed highest AUC (0.99). All three immune parameters revealed significant difference between survivors (n = 78) and non-survivors (n = 22). mHLA-DR < 7010 and IDI > 12 had significant association with mortality. Four best performing parameters to identify patients with SCOV-19 at higher risk of mortality were IDI, NLR, ALC and PCT. mHLA-DR and IDI, in addition to NLR and ALC at admission and during hospital stay can be utilized for patient triaging, monitoring, early intervention, and mortality prediction. IDI reported for the first time in this study, appears most promising. Immune monitoring of 'in hospital' cases may provide optimized treatment options. Supplementary Information: The online version contains supplementary material available at 10.1007/s12291-022-01087-z.

Circulating Cell-Free DNA Level in Prediction of COVID-19 Severity and Mortality: Correlation of with Haematology and Serum Biochemical Parameters.

Lymphocyte dysregulation in coronavirus disease-19 (COVID-19) is a major contributing factor linked to disease severity and mortality. Apoptosis results in the accumulation of cell-free DNA (cfDNA) in circulation. COVID-19 has a heterogeneous clinical course. The role of cfDNA levels was studied to assess the severity and outcome of COVID-19 patients and correlated with other laboratory parameters. The current case series included 100 patients with mild COVID-19 (MCOV-19) and 106 patients with severe COVID-19 (SCOV-19). Plasma cfDNA levels were quantified using SYBR green quantitative real-time PCR through amplification of the ß-actin gene. CfDNA level was significantly higher in SCOV-19 at 706.7 ng/ml (522.6-1258) as compared to MCOV-19 at 219.8 ng/ml (167.7-299.6). The cfDNA levels were significantly higher in non-survivor than in survivors (p = 0.0001). CfDNA showed a significant correlation with NLR, ferritin, LDH, procalcitonin, and IL-6. The diagnostic sensitivity and specificity of cfDNA in the discrimination of SCOV-19 from MCOV-19 were 90.57% & 80%, respectively. CfDNA showed a sensitivity of 94.74% in the differentiation of non-survivors from survivors. CfDNA levels showed a significant positive correlation with other laboratory and inflammatory markers of COVID-19. CfDNA levels, NLR, and other parameters may be used to stratify and monitor COVID-19 patients and predict mortality. CfDNA may be used to predict COVID-19 severity with higher diagnostic sensitivity.

Dynamics of cell-free DNA in predicting response in adult diffuse glioma on chemoradiotherapy.

BACKGROUND: Adult diffuse glioma (ADG) is a heterogeneous primary brain tumor with a variable prognosis and treatment response. Tissue biomarkers and molecular genetic profiling form an integral part of diagnosis and prognostication. However, obtaining tissue in inoperable locations and diagnosis of recurrence can be an issue. Cell-free DNA (cfDNA) may help to meet these challenges in the management of ADG. OBJECTIVES: The study aimed to serially quantify cfDNA in ADG on chemoradiation and to correlate mutational profiling of the cfDNA with biopsy. MATERIAL AND METHODS: The study group comprised of histopathological confirmed ADG (n = 50), including grade II, III and IV glioma, and controls (n = 25). Serum cfDNA was extracted using ChargeSwitch gDNA 1 mL Serum Kit (Invitrogen, USA) and quantified using SYBR based quantitative polymerase chain reaction (qPCR). Next-generation sequencing (NGS) was performed in 07 pre-operative and 05 post-operative cfDNA and tumor biopsy DNA on an Ion personal genome machine (IonPGM) with an in-house designed NGS panel (including TP53, ATRX, and IDH1 and IDH2). RESULTS: In patients with ADG, the pre-radiotherapy cfDNA level was significantly higher (Median; 113.46 ng/mL) than normal controls (Median; 74.37 ng/mL), (p = 0.048). Non-responders had significantly higher cfDNA levels (Median; 184.4 ng/mL), than responders (Median; 68.12 ng/mL), (p = 0.023). TP53 gene mutation was most common in both pre-operative and post-operative cfDNA samples. CONCLUSION: Pre-radiotherapy cfDNA levels are associated with clinical outcomes independent of other prognostic factors. Targeted NGS in pre-operative cfDNA matches the results of IHC analysis with high concordance, and it may be helpful in inoperable cases or ADG recurrence.

Liquid biopsy in CNS tumors: Current status & future perspectives.

Precise classification of central nervous system (CNS) malignancies is vital for the treatment and prognostication. Identification of noninvasive markers can be of importance to guide treatment decisions and in monitoring treatment response. CNS tumors are classified based on morphology with an essential complement of molecular changes, including mutations, amplifications, and methylation. Neuroimaging is the mainstay for initial diagnosis and monitoring tumor response with obvious limitations of imprecise tumor typing and no information on diagnostic, predictive and prognostic markers. Liquid biopsy has evolved as a diagnostic tool in body fluids and is being investigated as a surrogate for tissue biopsy in managing primary and metastatic brain tumors. Liquid biopsy refers to analyzing biological fluids such as peripheral blood, urine, pleural effusion, ascites, and cerebrospinal fluid (CSF); however, peripheral blood remains the primary source of fluid biopsy. The analytes include cell-free DNA (cfDNA) circulating tumor cells (CTCs), circulating micro RNAs (miRNAs), circulating proteins and extracellular vesicles (EVs). Analysis of these components is actively used for early cancer detection, auxiliary staging, prognosis assessment, detection of minimal residual disease (MRD), and monitoring drug resistance in various solid tumors. In recent years, liquid biopsy has been studied in CNS tumors, and analysis of CTCs and cfDNA have become relevant research topics. In the current review, we have explained the clinical potential of liquid biopsy in CNS tumors to assist in diagnosing and predicting prognosis and response to treatment.

Epidermal growth factor receptor mutations in adenocarcinoma lung: Comparison of techniques for mutation detection.

Background: Targeted therapy using tyrosine kinase inhibitors in cases of non-small-cell lung carcinoma (NSCLC) that harbor epidermal growth factor receptor (EGFR) mutations has drastically improved the overall survival rate. The current study estimated the frequency of EGFR mutations in the Indian population by analyzing the diagnostic parameters of various techniques available for the detection of these mutations. Materials and Methods: A case series of 100 histologically diagnosed and immunohistochemically confirmed NSCLC with the adenocarcinoma phenotype comprises the study sample. EGFR mutations were detected using clone-specific immunohistochemistry (IHC), real-time polymerase chain reaction (PCR), and Sanger sequencing. Results: EGFR mutations were identified in 48% cases with 72.78% mutations involving exon 19. Clone-specific IHC had a low sensitivity of 46.43%, and the specificity was 79.17%. Sanger sequencing yielded interpretable results in 16% cases only, which were in concordance with the results of real-time PCR. Conclusion: EGFR mutations are increasingly being explored for targeted therapy and personalized medicine. Real-time PCR was found to be the best and the most accurate method for the detection of somatic EGFR mutations in adenocarcinoma primarily in the lungs.

Genomic profiling of gallbladder carcinoma: Targetable mutations and pathways involved.

Gallbladder cancer (GBC) carries a poor prognosis and frequently present in late stages of disease. Identification of targetable molecular changes for selecting appropriate treatment and identifying prognostic and therapeutic subsets is required. Next-generation sequencing (NGS) using a frequently mutated for GBC may provide a reference for clinical management. The primary aim of the current study was to analyze the frequency of individual genetic alterations in GBC and to correlate with clinicopathological characteristics. A retrospective study was conducted using 22 gene panel examined NGS based approach for the detection of actionable genomic mutations in 37 GBC patients. The genetic and clinicopathological characteristics were analyzed. The number of mutations in cases was ranged from 1 to 15. A total of 171 mutations were identified in FFPE tissue DNA. The most common alterations were TP53 (90.90%), SMAD4 (60.60%), NOTCH1(45.45)& ERBB2 (45.45%), PIK3CA (33.33%) and MET (30.30)& PTEN (30.30%). Among the 22 gene panel, the TP53 gene was associated with histopathological differentiation (p = 0.0001), ERBB4 & ALK mutation was associated with necrosis (p = 0.012, 0.027), EGFR mutation was associated with mucin status (p = 0.023) and ERBB2 gene mutation was associated with T stage (p = 0.036). The study provides an overview of the genetic alterations in GBC patients.Targetable mutations are present in 89.91% cases of GBC which include SMAD4, NOTCH1, ERBB2&4, PIK3CA, MET, PTEN, EGFR, KRAS and BRAF. Metastatic disease was associated with high frequency of CTNNB1, KRAS and NRAS gene mutations.

Comparison of circulating DNA in malignant neoplasia from diverse locations: Investigating a diagnostic role.

CONTEXT: Circulating free DNA (cfDNA) analysis has emerged as novel noninvasive diagnostic biomarker in several solid tumors. Raised levels have been reported in several malignancies and may correlate with clinicopathological and treatment response. The current study was designed to assess the diagnostics of cfDNA in different tumor types of malignancies correlating with tumor (T), nodes (N), and metastases (M) stage. DESIGN: Serum samples were collected from treatment naïve cases with histologically diagnosed tumors including 23 brain tumors, 48 breasts, 50 gallbladder carcinoma (GBC), 13 lungs, 68 oral squamous cell carcinoma (OSCC), and 25 normal controls. CfDNA was quantified with real-time polymerase chain reaction (PCR), Invasive ductal carcinoma (IDC) using beta-globin gene amplification. Cut off values for diagnostics were calculated using receiver operating curve analysis. RESULTS: Contrary to other cfDNA studies where it was postulated that cfDNA would not cross the blood-brain barrier and reach the systemic circulation, we found detectable cfDNA in glioma with median (Q1-Q3) of 349.22 ng/ml (19.87-1276.58). Median cfDNA concentration in breast, gallbladder, lung, oral and normal controls was 328.72 (128.38-624.44), 778.50 (589.88-1864.35), 348.73 (194.67-483.61), 386.27 (47.88-959.67), and 74.12 (49.66-120.00), respectively. Grades I and II glioma had significantly lower levels compared to Grades III and IV (P = 0.0001). Significant difference in median cfDNA values in IDC and GBC was observed with increasing tumor grades, stage, T stage, nodal stage and metastasis and with stage of OSCC cases. CONCLUSION: CfDNA levels showed good diagnostic discrimination in glioma, GBC, breast, lung carcinoma, and OSCC. Significant increase in titers was evident with increase in cancer stage from I to IV in breast, GBC and OSCC.

Circulating Soluble Lectin-like Oxidized Low-Density Lipoprotein Receptor-1 (sLOX-1): A Diagnostic Indicator across the Spectrum of Acute Coronary Syndrome.

BACKGROUND: Cardiac troponin is the best marker to diagnose acute coronary syndrome (ACS). However, early diagnosis using markers for plaque instability may be of significance. Soluble lectin-like oxidized low-density lipoprotein receptor-1 (sLOX-1) plays an important role in the pathogenesis of atherosclerosis plaque rupture and may be a potential biomarker of coronary artery disease (CAD), including ACS. The current study aims to evaluate sLOX-1 levels in the sera of patients with ACS as an independent marker of CAD with other established diagnostic markers and assess its level before and after percutaneous intervention (PCI) in predicting the risk of future recurrence of ACS. METHODS: Peripheral blood was obtained from a total of 160 patients, including patients who underwent coronary angiography (n = 18, group I), patients of stable CAD who underwent percutaneous intervention (n = 50, group II), patients of the acute coronary syndrome (n = 64, group III), and healthy controls (n = 28, group IV). A serum sLOX-1 concentration was measured by the enzyme-linked immunosorbent assay (ELISA). RESULTS: The results obtained showed a statistically significant raised level of sLOX-1 in pre/post PCI patients of stable CAD/ACS with male preponderance. The area under the curve for sLOX-1 was 0.925 for cases that are discriminated from controls with sensitivity and specificity of 87.88 and 100%, respectively. SLOX-1 showed 100% sensitivity and specificity in the discrimination of the stable CAD that underwent PCI vs. control with an AUC of 1.00. The recurrence of coronary artery disease was observed in 9 out of 132 (6.8%) cases. The post-interventional sLOX-1 level was significantly different and higher in recurrent cases (p = 0.027) of ACS/CAD. CONCLUSIONS: sLOX-1 was a useful biomarker of stable CAD/ACS and has a potential in the risk prediction of a future recurrence of coronary artery disease.

Circulating microRNA-126 as an Independent Risk Predictor of Coronary Artery Disease: A Case-Control Study.

CONTEXT: Circulating microRNAs (miR) have revolutionized the field of molecular biology owing to their potential as a diagnostic as well as a prognostic biomarker of cardiovascular disease and dysfunctions. The present study aims to identify the circulating miR-126 and -122 as an independent risk predictors of coronary artery disease cases. METHODS AND MATERIAL: Blood samples were collected from coronary artery disease cases (n=100) and non-CAD cases (n=100). Serum RNA was isolated by Trizol method. MiR levels were measured by quantitative real-time polymerase chain reaction with the specific primer probe set. RESULTS: MiR-126 levels were significantly down-regulated in CAD cases compared to non-CAD cases (controls) (80.0% vs. 39.0%, χ2=14.95, p<0.001). The level of miR-122 was significantly up-regulated in CAD cases in comparison to its non-CAD variant (14.0% vs. 63.0%, χ2=21.23, p<0.001). Multivariate analysis found chest pain (OR=37.07, 95% CI=3.21-169.04, p=0.017) and miR-126 (OR=0.01, 95% CI=0.00-0.63, p=0.030) as independent risk predictors of CAD. CONCLUSION: The results of our study show the potential of circulating miR-126 as a novel non-invasive biomarker in the risk prediction of CAD. Further unraveling of the role of miR-122 and miR-126 in the pathogenesis and progression of CAD will add to our understanding of the disease process leading to a new diagnostic approach. HIGHLIGHTS: Mir-122 and -126 significantly differentiate non CAD cases from angiographically proven CAD casesChest pain and miR-126 might work as an independent risk predictor of coronary artery disease.

Programmed Death Ligand-1 Expression in Gliomas: A Study of Histopathological and Molecular Associations.

BACKGROUND: Gliomas are aggressive tumors with limited treatment options. Immunotherapy targets are under evaluation as new therapeutic targets in gliomas. AIMS AND OBJECTIVES: The aims of the study were to analyze expression of PDL1 in adult diffuse gliomas in World Health Organization grade II, III, and IV and to corelate its expression with demographic features, IDH-1, ATRX, and p-53 mutation status. MATERIALS AND METHODS: This was a case series that included 30 cases of adult diffuse glioma. In all cases, a composite diagnosis including histologic type, grade, and molecular alterations was rendered. PDL1 testing was done by immunohistochemistry using PDL1 SP-263 antibody. RESULTS: PDL1 expression was identified in 33.3% cases in tumor cells and in 6.67% cases in immune cells. All neoplasms with PDL1 expression were astrocytic tumors. PDL1 expression was significantly associated with IDH-1 immunonegative gliomas (P = 0.013). CONCLUSION: PDL1 is a novel therapeutic target in gliomas. The current study is an attempt to evaluate the expression of PDL1 over the varied spectrum of gliomas.

Hematological and serum biochemistry parameters as a prognostic indicator of severally ill versus mild Covid-19 patients: A study from tertiary hospital in North India.

BACKGROUND/OBJECTIVES: In, India coronavirus disease (COVID-19) cases are on the rise in terms of the total number of cases. Findings on clinical and hematological parameters alone carry no significance apart from telling patients present status and hence are diminutive. This study aims to assess the hematological and serum biochemistry parameters and correlate them with the presenting symptoms and severity of disease which can help predict the need for intensive care unit (ICU) care, help in triage, assess the severity of the disease which will help clinicians decide their future course of action and further improve patients clinical outcome. METHODS: A total of 200 COVID-19 positive patients were included. Hematological and serum biochemistry parameters were recorded for the patients at the time of admission and categorized as mild, moderate, and severely ill based on clinical status and then admitted into various wards. RESULTS: Total leucocyte count (TLC) was significantly different and higher in severely ill patients (13,200 ± 6,999.2) compared to cases presented with mild and moderate symptoms (12,100 ± 6,488.41& 8,788.20 ± 4,954.32, p = 0.001). The mean difference of TLC, Neutrophil% (N%), Lymphocyte% (L%) and Monocyte (M%) was significantly different between mild and moderate symptoms cases (p = 0.030, p = 0.002, p = 0.004 & p = 0.003). Between groups comparison of moderate vs. severely ill cases showed a significant difference in TLC (p = 0.000), N% (p = 0.000), L% (0.000), and L/N ratio (p = 0.002). The serum ionic calcium (Ca), random blood sugar (RBS), C-reactive protein (CRP), fibrinogen, prothrombin (PT), International Normalized Ratio (INR), ferritin, and Lactate Dehydrogenase (LDH) level also differed significantly between mild, moderate and severely ill cases (p = 0.001, p=<0.001, p = 0.002, p=<00.1, p = 0006, p = 0.005, p=<0.001 and p=<0.001) respectively. Comparison of the mild vs. severely ill cases showed a significant difference in urea, fibrinogen, and procalcitonin (PCT) level (p = 0.005, p = 0.000 & p = 0.048) respectively. CONCLUSION: The preliminary findings of this study suggest hematological and serum biochemistry parameters could be used as a screening tool to identify patients requiring intensive care and thus allowing clinical stratification and triage at the time of presentation.