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  1. Article ; Online: Unveiling the potential anti-cancer activity of calycosin against multivarious cancers with molecular insights: A promising frontier in cancer research.

    Sohel, Md / Zahra Shova, Fatema Tuj / Shuvo, Shahporan / Mahjabin, Taiyara / Mojnu Mia, Md / Halder, Dibyendu / Islam, Hafizul / Roman Mogal, Md / Biswas, Partha / Saha, Hasi Rani / Sarkar, Bidhan Chandra / Mamun, Abdullah Al

    Cancer medicine

    2024  Volume 13, Issue 3, Page(s) e6924

    Abstract: Background: Calycosin may be a potential candidate regarding chemotherapeutic agent, because already some studies against multivarious cancer have been made with this natural compound.: Aim: This review elucidated a brief overview of previous studies ...

    Abstract Background: Calycosin may be a potential candidate regarding chemotherapeutic agent, because already some studies against multivarious cancer have been made with this natural compound.
    Aim: This review elucidated a brief overview of previous studies on calycosin potential effects on various cancers and its potential mechanism of action.
    Methodology: Data retrieved by systematic searches of Google Scholar, PubMed, Science Direct, Web of Science, and Scopus by using keywords including calycosin, cancer types, anti-cancer mechanism, synergistic, and pharmacokinetic and commonly used tools are BioRender, ChemDraw Professional 16.0, and ADMETlab 2.0.
    Results: Based on our review, calycosin is available in nature and effective against around 15 different types of cancer. Generally, the anti-cancer mechanism of this compound is mediated through a variety of processes, including regulation of apoptotic pathways, cell cycle, angiogenesis and metastasis, oncogenes, enzymatic pathways, and signal transduction process. These study conducted in various study models, including in silico, in vitro, preclinical and clinical models. The molecular framework behind the anti-cancer effect is targeting some oncogenic and therapeutic proteins and multiple signaling cascades. Therapies based on nano-formulated calycosin may make excellent nanocarriers for the delivery of this compound to targeted tissue as well as particular organ. This natural compound becomes very effective when combined with other natural compounds and some standard drugs. Moreover, proper use of this compound can reverse resistance to existing anti-cancer drugs through a variety of strategies. Calycosin showed better pharmacokinetic properties with less toxicity in human bodies.
    Conclusion: Calycosin exhibits excellent potential as a therapeutic drug against several cancer types and should be consumed until standard chemotherapeutics are available in pharma markets.
    MeSH term(s) Humans ; Neoplasms/drug therapy ; Oncogenes ; Research ; Isoflavones/pharmacology ; Isoflavones/therapeutic use
    Chemical Substances 7,3'-dihydroxy-4'-methoxyisoflavone (09N3E8P7TA) ; Isoflavones
    Language English
    Publishing date 2024-01-17
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2659751-2
    ISSN 2045-7634 ; 2045-7634
    ISSN (online) 2045-7634
    ISSN 2045-7634
    DOI 10.1002/cam4.6924
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Integrated bioinformatics analysis reveals upregulated extracellular matrix hub genes in pancreatic cancer: Implications for diagnosis, prognosis, immune infiltration, and therapeutic strategies.

    Mogal, Md Roman / Jame, Jasmin Akter / Sohel, Md / Mozibullah, Md / Mahmod, Md Rashel / Junayed, Asadullah / Kar, Newton / Arbia, Lubatul / Al Mamun, Abdullah / Sikder, Md Asaduzzaman

    Cancer reports (Hoboken, N.J.)

    2024  Volume 7, Issue 4, Page(s) e2059

    Abstract: Background: Pancreatic cancer (PC) stands out as one of the most formidable malignancies and exhibits an exceptionally unfavorable clinical prognosis due to the absence of well-defined diagnostic indicators and its tendency to develop resistance to ... ...

    Abstract Background: Pancreatic cancer (PC) stands out as one of the most formidable malignancies and exhibits an exceptionally unfavorable clinical prognosis due to the absence of well-defined diagnostic indicators and its tendency to develop resistance to therapeutic interventions. The primary objective of this present study was to identify extracellular matrix (ECM)-related hub genes (HGs) and their corresponding molecular signatures, with the intent of potentially utilizing them as biomarkers for diagnostic, prognostic, and therapeutic applications.
    Methods: Three microarray datasets were sourced from the NCBI database to acquire upregulated differentially expressed genes (DEGs), while MatrisomeDB was employed for filtering ECM-related genes. Subsequently, a protein-protein interaction (PPI) network was established using the STRING database. The created network was visually inspected through Cytoscape, and HGs were identified using the CytoHubba plugin tool. Furthermore, enrichment analysis, expression pattern analysis, clinicopathological correlation, survival analysis, immune cell infiltration analysis, and examination of chemical compounds were carried out using Enrichr, GEPIA2, ULCAN, Kaplan Meier plotter, TIMER2.0, and CTD web platforms, respectively. The diagnostic and prognostic significance of HGs was evaluated through the ROC curve analysis.
    Results: Ten genes associated with ECM functions were identified as HGs among 131 DEGs obtained from microarray datasets. Notably, the expression of these HGs exhibited significantly (p < 0.05) higher in PC, demonstrating a clear association with tumor advancement. Remarkably, higher expression levels of these HGs were inversely correlated with the likelihood of patient survival. Moreover, ROC curve analysis revealed that identified HGs are promising biomarkers for both diagnostic (AUC > 0.75) and prognostic (AUC > 0.64) purposes. Furthermore, we observed a positive correlation between immune cell infiltration and the expression of most HGs. Lastly, our study identified nine compounds with significant interaction profiles that could potentially act as effective chemical agents targeting the identified HGs.
    Conclusion: Taken together, our findings suggest that COL1A1, KRT19, MMP1, COL11A1, SDC1, ITGA2, COL1A2, POSTN, FN1, and COL5A1 hold promise as innovative biomarkers for both the diagnosis and prognosis of PC, and they present as prospective targets for therapeutic interventions aimed at impeding the progression PC.
    MeSH term(s) Humans ; Gene Expression Profiling ; Biomarkers, Tumor/analysis ; Prognosis ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/genetics ; Pancreatic Neoplasms/therapy ; Computational Biology ; Extracellular Matrix/genetics
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2024-04-18
    Publishing country United States
    Document type Journal Article
    ISSN 2573-8348
    ISSN (online) 2573-8348
    DOI 10.1002/cnr2.2059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Common genetic aspects between COVID-19 and sarcoidosis: A network-based approach using gene expression data.

    Mogal, Md Roman / Sompa, Sagarika Adhikary / Junayed, Asadullah / Mahmod, Md Rashel / Abedin, Md Zainul / Sikder, Md Asaduzzaman

    Biochemistry and biophysics reports

    2022  Volume 29, Page(s) 101219

    Abstract: The pandemic situation of novel coronavirus disease 2019 (COVID-19) is a global threat on our current planet, with its rapid spread and high mortality rate. Sarcoidosis patients are at high risk to COVID-19 severity for having lung injuries as well as ... ...

    Abstract The pandemic situation of novel coronavirus disease 2019 (COVID-19) is a global threat on our current planet, with its rapid spread and high mortality rate. Sarcoidosis patients are at high risk to COVID-19 severity for having lung injuries as well as treating with immunosuppressive agents. So, physicians are in dilemma whether they should use immunosuppressive agents or not for the patients with sarcoidosis history and COVID-19 infection. Therefore, common factors should be identified to provide effective treatment. For determining the common genes between COVID-19 and sarcoidosis, GSE164805 and GSE18781 were retrieved from the Gene Expression Omnibus (GEO) database. Common upregulated genes were identified by using R language to investigate their involved pathways and gene ontologies (GO). With the aid of the STRING Cytoscape plugin tool, protein-protein interactions (PPIs) network was constructed. From the PPIs network, Hub genes and essential modules were detected by using Cytohubba, and MCODE respectively. For hub genes, TFs, TFs-miRNA, and drug, interaction networks were built through the NetworkAnalyst web platform. A total of 34 common upregulated genes were identified and among them, five hub genes, including TET2, MUC5AC, VDR, NFE2L2, and BCL6 were determined. In addition, a cluster having VDR and NFE2L2 was detected from the PPIs network. Moreover, 32 transcription factors and 9 miRNA were recognized for hub genes. Furthermore, vitamin D and some of its analogous compounds were obtained from the drug interaction network. In conclusion, hub genes identified in this study might have potential roles in modulating COVID-19 infection and sarcoidosis. However, further studies are required to corroborate this study.
    Language English
    Publishing date 2022-02-01
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2831046-9
    ISSN 2405-5808 ; 2405-5808
    ISSN (online) 2405-5808
    ISSN 2405-5808
    DOI 10.1016/j.bbrep.2022.101219
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Esculetin unveiled: Decoding its anti-tumor potential through molecular mechanisms-A comprehensive review.

    Rezoan Hossain, Md / Zahra Shova, Fatema Tuj / Akter, Munni / Shuvo, Shahporan / Ahmed, Nasim / Akter, Afroza / Haque, Munira / Salma, Umme / Roman Mogal, Md / Saha, Hasi Rani / Sarkar, Bidhan Chandra / Sohel, Md

    Cancer reports (Hoboken, N.J.)

    2023  Volume 7, Issue 1, Page(s) e1948

    Abstract: Background: The growing complexity of cancer has made it a significant concern in the medical community. Although cancer research has advanced, it is still challenging to create new effective medications due to the limitations and side effects of ... ...

    Abstract Background: The growing complexity of cancer has made it a significant concern in the medical community. Although cancer research has advanced, it is still challenging to create new effective medications due to the limitations and side effects of existing treatment strategies. These are enforcing the development of some alternative drugs from natural compounds with fewer drawbacks and side effects.
    Aim: Therefore, this review aims to provide up-to-date, crucial, and all-encompassing data on esculetin's anticancer activity, including all relevant molecular and cellular processes based on in vivo and in vitro investigations.
    Results: According to the literature review, esculetin is available in nature and is effective against 16 different types of cancer. The general mechanism shown by esculetin is modulating signaling cascades and its related pathways, like cell proliferation, cell growth, autophagy, apoptosis, necrosis, inflammation, angiogenesis, metastasis, invasion, and DNA damage. Nanoformulation of esculetin improves this natural product's efficacy by improving water solubility. Esculetin's synergistic effects with both natural substances and conventional treatments have been shown, and this method aids in reversing resistance mechanisms by modulating resistance-related proteins. In addition, it has fewer side effects on humans than other phytochemicals and standard drugs with some good pharmacokinetic features.
    Conclusion: Therefore, until standard chemotherapeutics are available in pharmaceutical markets, esculetin should be used as a therapeutic drug against various cancer types.
    MeSH term(s) Humans ; Neoplasms/drug therapy ; Umbelliferones/pharmacology ; Apoptosis ; Signal Transduction
    Chemical Substances esculetin (SM2XD6V944) ; Umbelliferones
    Language English
    Publishing date 2023-12-08
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2573-8348
    ISSN (online) 2573-8348
    DOI 10.1002/cnr2.1948
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Common genetic aspects between COVID-19 and sarcoidosis

    Md. Roman Mogal / Sagarika Adhikary Sompa / Asadullah Junayed / Md. Rashel Mahmod / Md. Zainul Abedin / Md. Asaduzzaman Sikder

    Biochemistry and Biophysics Reports, Vol 29, Iss , Pp 101219- (2022)

    A network-based approach using gene expression data

    2022  

    Abstract: The pandemic situation of novel coronavirus disease 2019 (COVID-19) is a global threat on our current planet, with its rapid spread and high mortality rate. Sarcoidosis patients are at high risk to COVID-19 severity for having lung injuries as well as ... ...

    Abstract The pandemic situation of novel coronavirus disease 2019 (COVID-19) is a global threat on our current planet, with its rapid spread and high mortality rate. Sarcoidosis patients are at high risk to COVID-19 severity for having lung injuries as well as treating with immunosuppressive agents. So, physicians are in dilemma whether they should use immunosuppressive agents or not for the patients with sarcoidosis history and COVID-19 infection. Therefore, common factors should be identified to provide effective treatment. For determining the common genes between COVID-19 and sarcoidosis, GSE164805 and GSE18781 were retrieved from the Gene Expression Omnibus (GEO) database. Common upregulated genes were identified by using R language to investigate their involved pathways and gene ontologies (GO). With the aid of the STRING Cytoscape plugin tool, protein-protein interactions (PPIs) network was constructed. From the PPIs network, Hub genes and essential modules were detected by using Cytohubba, and MCODE respectively. For hub genes, TFs, TFs-miRNA, and drug, interaction networks were built through the NetworkAnalyst web platform. A total of 34 common upregulated genes were identified and among them, five hub genes, including TET2, MUC5AC, VDR, NFE2L2, and BCL6 were determined. In addition, a cluster having VDR and NFE2L2 was detected from the PPIs network. Moreover, 32 transcription factors and 9 miRNA were recognized for hub genes. Furthermore, vitamin D and some of its analogous compounds were obtained from the drug interaction network. In conclusion, hub genes identified in this study might have potential roles in modulating COVID-19 infection and sarcoidosis. However, further studies are required to corroborate this study.
    Keywords COVID-19 ; Sarcoidosis ; Protein-protein interaction ; Hub genes ; Drug network ; Vitamin D ; Biology (General) ; QH301-705.5 ; Biochemistry ; QD415-436
    Subject code 572 ; 570
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: A Computational Approach to Justifying Stratifin as a Candidate Diagnostic and Prognostic Biomarker for Pancreatic Cancer.

    Mogal, Md Roman / Junayed, Asadullah / Mahmod, Md Rashel / Sompa, Sagarika Adhikary / Lima, Suzana Afrin / Kar, Newton / TasminaTarin / Khatun, Marina / Zubair, Md Abu / Sikder, Md Asaduzzaman

    BioMed research international

    2022  Volume 2022, Page(s) 1617989

    Abstract: Pancreatic cancer (PC) is considered a silent killer because it does not show specific symptoms at an early stage. Thus, identifying suitable biomarkers is important to avoid the burden of PC. Stratifin (SFN) encodes the 14-3- ... ...

    Abstract Pancreatic cancer (PC) is considered a silent killer because it does not show specific symptoms at an early stage. Thus, identifying suitable biomarkers is important to avoid the burden of PC. Stratifin (SFN) encodes the 14-3-3
    MeSH term(s) Biomarkers, Tumor/genetics ; Biomarkers, Tumor/metabolism ; Computational Biology ; Gene Expression Regulation, Neoplastic ; Humans ; Pancreatic Neoplasms/diagnosis ; Pancreatic Neoplasms/genetics ; Prognosis ; Pancreatic Neoplasms
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2022-05-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2698540-8
    ISSN 2314-6141 ; 2314-6133
    ISSN (online) 2314-6141
    ISSN 2314-6133
    DOI 10.1155/2022/1617989
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The impact of wood dust on pulmonary function and blood immunoglobulin E, erythrocyte sedimentation rate, and C- reactive protein: A cross-sectional study among sawmill workers in Tangail, Bangladesh.

    Mogal, Md Roman / Islam, Md Didarul / Hasan, Md Ikbal / Junayed, Asadullah / Sompa, Sagarika Adhikary / Mahmod, Md Rashel / Akter, Aklima / Abedin, Md Zainul / Sikder, Md Asaduzzaman

    Health science reports

    2022  Volume 5, Issue 3, Page(s) e646

    Abstract: Background and aims: Occupational exposure to wood dust leads to lung function abnormalities that are prominent causes of morbidity and disability of sawmill workers. The adverse respiratory effects of wood dust in sawmills have not been studied ... ...

    Abstract Background and aims: Occupational exposure to wood dust leads to lung function abnormalities that are prominent causes of morbidity and disability of sawmill workers. The adverse respiratory effects of wood dust in sawmills have not been studied thoroughly in Bangladesh. This study aimed to investigate the effect of wood dust on the respiratory health of sawmill workers compared to controls as well as to determine the association of wood dust-exposing effects with inflammatory blood biomarkers, such as immunoglobulin E (IgE), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP).
    Methods: This cross-sectional study included 100 sawmill workers from 25 distinct sawmills in various areas of Tangail, Bangladesh as well as 100 healthy volunteers who were adopted as a control group. Questionaries' survey and pulmonary function tests were performed face to face. Furthermore, after performing lung function tests, blood was drawn for further IgE, ESR, and CRP analyses.
    Results: Respiratory symptoms including breathlessness (32%), coughing (39%), sneezing (43%), chest tightness (30%), and itching (40%) were significantly higher in sawmill workers compared with control. Besides, sawmill workers' exposure to wood dust revealed a significantly lower level of spirometry parameters (forced vital capacity ​​​​​[FVC], FVC (%), forced expiratory volume in 1 s [FEV1], FEV1 (%), peak expiratory flow [PEF], PEF (%), FEV1/FVC (%), FEF25, FEF75, and FEF2575) compared with control and these spirometry parameters decreased with the increasing length of service. Moreover, a significantly higher level of IgE was observed in sawmill workers (290.90 ± 39.49) than in the control (120.95 ± 23.00). The high level of IgE suggests that the lower pulmonary function may be linked to allergic responses to wood dust among sawmill workers.
    Conclusion: This study suggested that exposure to wood dust can cause impairment of respiratory function along with high IgE levels.
    Language English
    Publishing date 2022-05-22
    Publishing country United States
    Document type Journal Article
    ISSN 2398-8835
    ISSN (online) 2398-8835
    DOI 10.1002/hsr2.646
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Association between ankyrin 2 gene and breast cancer progression

    Md. Roman Mogal / Md. Rashel Mahmod / Sagarika Adhikary Sompa / Asadullah Junayed / Md. Zainul Abedin / Md. Asaduzzaman Sikder

    Informatics in Medicine Unlocked, Vol 25, Iss , Pp 100663- (2021)

    A preliminary computational assessment using the database approach

    2021  

    Abstract: Breast cancer (BC) is considered the second leading cause of cancer-related death in women. Accurate diagnosis is thus of utmost importance to avoid the burden of BC. Ankyrin 2 (ANK2) encodes the structural membrane adapter protein ankyrin-B, which is ... ...

    Abstract Breast cancer (BC) is considered the second leading cause of cancer-related death in women. Accurate diagnosis is thus of utmost importance to avoid the burden of BC. Ankyrin 2 (ANK2) encodes the structural membrane adapter protein ankyrin-B, which is ubiquitously expressed in the human body. In this study, bioinformatics tools were used to determine whether ANK2 could be used as a diagnostic and prognostic biomarker in BC. ANK2 expression was analyzed using ONCOMINE, UALCAN, GEPIA2, and GENT2. Data from these servers showed the downregulated expression of ANK2 in BC relative to that in normal tissue. Further, downregulated ANK2 expression was found in such conditions as estrogen receptor-negative, human epidermal growth factor receptor 2-positive, positive nodal status, basal-like tumor, and triple-negative breast cancer, according to the data from the bc-GenExMiner v4.5 server. Analysis of 18 BC studies retrieved from the cBioPortal database revealed 88 missense mutations with 0.46%–5.09% copy number alterations in the ANK2 gene sequence. Additionally, a positive correlation between downregulated ANK2 expression and reduced survival probability of BC patients was revealed by a Kaplan–Meier plotter. Moreover, chordin-like 1, a tumor suppressor, was highly co-expressed with ANK2, as shown by the ONCOMINE, UCSC Xena, and GEPIA2 tools. The signaling pathways and gene ontologies of ANK2 and its co-expressed genes were identified using the Enrichr platform. The present results suggest that the ANK2 may serve as a biomarker for diagnosis, prognosis, and therapeutic purposes in BC.
    Keywords ANK2 ; Biomarker ; Breast cancer ; CHRDL1 ; Bioinformatics tools ; Gene downregulation ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 616
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A Computational Approach to Justifying Stratifin as a Candidate Diagnostic and Prognostic Biomarker for Pancreatic Cancer

    Md Roman Mogal / Asadullah Junayed / Md Rashel Mahmod / Sagarika Adhikary Sompa / Suzana Afrin Lima / Newton Kar / null TasminaTarin / Marina Khatun / Md Abu Zubair / Md Asaduzzaman Sikder

    BioMed Research International, Vol

    2022  Volume 2022

    Abstract: Pancreatic cancer (PC) is considered a silent killer because it does not show specific symptoms at an early stage. Thus, identifying suitable biomarkers is important to avoid the burden of PC. Stratifin (SFN) encodes the 14-3-3σ protein, which is ... ...

    Abstract Pancreatic cancer (PC) is considered a silent killer because it does not show specific symptoms at an early stage. Thus, identifying suitable biomarkers is important to avoid the burden of PC. Stratifin (SFN) encodes the 14-3-3σ protein, which is expressed in a tissue-dependent manner and plays a vital role in cell cycle regulation. Thus, SFN could be a promising therapeutic target for several types of cancer. This study was aimed at investigating, using online bioinformatics tools, whether SFN could be used as a diagnostic and prognostic biomarker in PC. SFN expression was explored by utilizing the ONCOMINE, UALCAN, GEPIA2, and GENT2 tools, which revealed that SFN expression is higher in PC than in normal tissues. The clinicopathological analysis using the ULCAN tool showed that the intensity of SFN expression is commensurate with cancer progression. GEPIA2, R2, and OncoLnc revealed a negative correlation between SFN expression and survival probability in PC patients. The ONCOMINE, UCSC Xena, and GEPIA2 tools showed that cofilin 1 is strongly coexpressed with SFN. Moreover, enrichment and network analyses of SFN were performed using the Enrichr and NetworkAnalyst platforms, respectively. Receiver operating characteristic (ROC) curves revealed that tissue-dependent expression of the SFN gene could serve as a diagnostic and prognostic biomarker. However, further wet laboratory studies are necessary to determine the relevance of SFN expression as a biomarker.
    Keywords Medicine ; R
    Subject code 616
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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