Cancer Stem Cell Markers - CD133 and CD44 - in Paediatric Solid Tumours: A Study of Immunophenotypic Expression and Correlation with Clinicopathological Parameters.

Paediatric solid tumours account for about 30% of all the paediatric malignancies. They differ from adult tumours in various aspects like incidence, etiopathogenesis, biology, response rate and outcome. Immunohistochemical markers such as CD133, CD44, CD24, CD90, CD34, CD117, CD20 and ALDH 1 (aldehyde dehydrogenase-1) have been proposed to detect cancer stem cells in tumours. CD133 is a marker of tumour initiating cells in many human cancers and therefore, it may be possible to develop future therapies by targeting cancer stem cells via this marker. CD44 is a transmembrane glycoprotein also known as homing cell adhesion molecule. It is a multifunctional cell-adhesion molecule and plays an important role in cell-cell interaction, lymphocyte homing, tumour progression and metastasis. In the present study, we assessed the expression of CD133 and CD44 in paediatric solid tumours and correlated their expression with clinico-pathological parameters in paediatric solid tumours. This study was a cross-sectional observational study conducted in the department of pathology at a tertiary care centre. All the histologically diagnosed paediatric solid tumours for a period of one year and four months were retrieved from the archives. The cases were reviewed and included in the study after obtaining informed consent. Immunohistochemistry using the monoclonal antibodies for CD133 and CD44 was performed in the representative tissue sections of all the cases. Immuno-scores were assessed, and the results were compared using Pearson's chi-square test. The present study included 50 cases of paediatric solid tumours. The majority (34%) of the patients were in the age group of less than 5 years, with male preponderance (M:F = 2.3:1). The tumours included were Wilms tumour, yolk sac tumour, rhabdomyosarcoma, lymphoma, neuroblastoma, hepatoblastoma, gastrointestinal stromal tumour (GIST), medulloblastomas, pilocytic astrocytomas, ependymomas and glioblastoma. On immunohistochemical analysis, high expression of CD133 and CD44 was found. A significant association between the expression of CD133 and various tumour groups was observed (p = 0.004). However, CD44 showed variable expression in different tumour groups. Both CD133 and CD44 identified cancer stem cell in paediatric solid tumours. A further validation is warranted to investigate their potential role in therapy and prognosis.

Next-Generation Sequencing Highlights of Diffuse Large B-cell Lymphoma in a Tertiary Care Hospital in North India.

INTRODUCTION: Next-generation sequencing (NGS) elucidates the diffuse large B-cell lymphoma (DLBCL) genetic characteristics by finding recurrent and novel somatic mutations. This observational study attempted to create an NGS panel with a focus on identifying novel somatic mutations which could have potential clinical and therapeutic implications. This panel was created to look for mutations in 133 genes chosen on basis of a literature review and it was used to sequence the tumor DNA of 20 DLBCL patients after a centralized histopathologic review. METHODS: The study included 20 patients having DLBCL. The quality and quantity of tumor cells were accessed by H&E staining and correlated with histopathology and Immunohistochemistry (IHC) status. Patients were grouped as ABC (activated B-cell), PMBL (primary mediastinal large B-cell lymphoma), and other or unclassified subtypes. The lymphoma panel of 133 was designed on targeted sequencing of multiple genes for the coding regions through NGS. The libraries were prepared and sequenced using the Illumina platform. The alignment of obtained sequences was performed using Burrows-Wheeler Aligner and identification of somatic mutations was done using LoFreq (version 2) variant caller. The mutations were annotated using an annotation pipeline (VariMAT). Previously published literature and databases were used for the annotation of clinically relevant mutations. The common variants were filtered for reporting based on the presence in various population databases (1000G, ExAC, EVS, 1000Japanese, dbSNP, UK10K, MedVarDb). A custom read-depth-based algorithm was used to determine CNV (Copy Number Variants) from targeted sequencing experiments. Rare CNVs were detected using a comparison of the test data read-depths with the matched reference dataset. Reportable mutations were prioritized and prepared based on AMP-ASCO-CAP (Association for Molecular Pathology-American Society of Clinical Oncology-College of American Pathologists), WHO guidelines, and also based on annotation metrics from OncoMD (a knowledge base of genomic alterations). RESULTS: The informativity of the panel was 95 percent. NOTCH 1 was the most frequently mutated gene in 16.1% of patients followed by 12.9% who had ARID1A mutations. MYD88 and TP53 mutations were detected in 9.6% of the patient while 6.4% of patients had CSF3R mutations. NOTCH 1 and TP 53 are the most frequently reported gene in the middle age group (40-60). Mutation in MYD88 is reported in every age group. MYD88 (51%) is the most common mutation in ABC subtypes of DLBCL, followed by NOTCH 1 (44%) and SOCS 1 (33%) according to our findings. NOTCH 1 mutations are frequent in ABC and PMBL subtypes. Closer investigation reveals missense mutation is the most frequent mutation observed in the total cohort targeting 68.4% followed by frameshift deletion reported in 26.3%. Six novel variants have been discovered in this study. CONCLUSIONS: This study demonstrates the high yield of information in DLBCL using the NGS Lymphoma panel. Results also highlight the molecular heterogeneity of DLBCL subtypes which indicates the need for further studies to make the results of the NGS more clinically relevant.

An in-silico evaluation of different Saikosaponins for their potency against SARS-CoV-2 using NSP15 and fusion spike glycoprotein as targets.

The Public Health Emergency of International Concern declared the widespread outbreak of SARS-CoV-2 as a global pandemic emergency, which has resulted in 1,773,086 confirmed cases including 111,652 human deaths, as on 13 April 2020, as reported to World Health Organization. As of now, there are no vaccines or antiviral drugs declared to be officially useful against the infection. Saikosaponin is a group of oleanane derivatives reported in Chinese medicinal plants and are described for their anti-viral, anti-tumor, anti-inflammatory, anticonvulsant, antinephritis and hepatoprotective activities. They have also been known to have anti-coronaviral property by interfering the early stage of viral replication including absorption and penetration of the virus. Thus, the present study was undertaken to screen and evaluate the potency of different Saikosaponins against different sets of SARS-CoV-2 binding protein via computational molecular docking simulations. Docking was carried out on a Glide module of Schrodinger Maestro 2018-1 MM Share Version on NSP15 (PDB ID: 6W01) and Prefusion 2019-nCoV spike glycoprotein (PDB ID: 6VSB) from SARS-CoV-2. From the binding energy and interaction studies, the Saikosaponins U and V showed the best affinity towards both the proteins suggesting them to be future research molecule as they mark the desire interaction with NSP15, which is responsible for replication of RNA and also with 2019-nCoV spike glycoprotein which manage the connection with ACE2. [Formula: see text] Communicated by Ramaswamy H. Sarma.

Potential Leads from Liquorice Against SARS-CoV-2 Main Protease using Molecular Docking Simulation Studies.

AIM AND OBJECTIVE: At present, the world is facing a global pandemic threat of SARSCoV- 2 or COVID-19 and to date, there are no clinically approved vaccines or antiviral drugs available for the treatment of coronavirus infections. Studies conducted in China recommended the use of liquorice (Glycyrrhiza species), an integral medicinal herb of traditional Chinese medicine, in the deactivation of COVID-19. Therefore, the present investigation was undertaken to identify the leads from the liquorice plant against COVID-19 using molecular docking simulation studies. MATERIALS AND METHODS: A set of reported bioactive compounds of liquorice were investigated for COVID-19 main protease (Mpro) inhibitory potential. The study was conducted on Autodock vina software using COVID-19 Mpro as a target protein having PDB ID: 6LU7. RESULTS: Out of the total 20 docked compounds, only six compounds showed the best affinity towards the protein target, which included glycyrrhizic acid, isoliquiritin apioside, glyasperin A, liquiritin, 1-methoxyphaseollidin and hedysarimcoumestan B. From the overall observation, glycyrrhizic acid followed by isoliquiritin apioside demonstrated the best affinity towards Mpro representing the binding energy of -8.6 and -7.9 Kcal/mol, respectively. Nevertheless, the other four compounds were also quite comparable with the later one. CONCLUSION: From the present investigation, we conclude that the compounds having oxane ring and chromenone ring substituted with hydroxyl 3-methylbut-2-enyl group could be the best alternative for the development of new leads from liquorice plant against COVID-19.

Adrenocortical Carcinoma in a 6-Month-Old Infant.

Adrenocortical carcinoma (ACC) is a rare malignant tumor arising from the adrenal cortex and it is even rarer in infancy. These tumors are usually hormonally active. We report a case of ACC in a 6-month-old infant who was brought by her mother with complaints of hirsutism and abnormally looking genitalia. Serum 17-alpha-hydroxyprogesterone and serum cortisol levels were raised. Subsequently, imaging studies revealed a large well-circumscribed soft-tissue mass in the right suprarenal region. The tumor was excised, and on histopathology in conjunction with immunohistochemistry, a diagnosis of ACC was given. Only four other cases of ACC have been reported till date in the literature, with an age of 6 months or younger. Hereby, we present a case of ACC in a young infant.