Nevin Manimala

Asian Pac J Cancer Prev. 2023 May 1;24(5):1695-1700. doi: 10.31557/APJCP.2023.24.5.1695.

ABSTRACT

OBJECTIVE: To evaluate the anti-carcinogenic effect of Centella Asiatica on to evaluate the Anti-Carcinogenic Effect of Centella Asiatica on Oral Cancer Cell Line oral cancer cell line.

MATERIALS AND METHODS: Oral Cancer cell line and normal oral keratinocyte cell line were procured.Centella asiatica extract was prepared. The cells were then subjected to the test herbal specimens -Centella asiatica extract in succeeding concentrations of 25 µg/ml, 50 µg/ml, 100 µg/ml at time intervals of 24,48 and 72 hours. Cisplatin (2 µg/ml, 4 µg/ml, 6 µg/ml, 8 µg/ml) was used as a positive control. This experiment was done in triplets.

RESULTS: The study revealed that the p values were less than 0.05 at concentration 12.5µg/ml, 25µg/ml, 50 µg/ml,100 µg/ml and time period of 24hrs,48hrs,72hrs, thus implying that at these concentrations and time period, the obtained data were statistically significant, thus indicating that there is a statistically significantly decreases in the viable cells as the concentration of the drug as a time period increases The results reveals that centella asiatica possess potential effect of anti-carcinogenic, effect when compared to positive control (Cisplatin).

CONCLUSION: The current study reveals that Centella asiatica has an potential anti-carcinogenic effect on oral cancer cell line. So this can be used to treat oral cancer with minimal crippling as compared with allopathic drugs.

PMID:37247290 | DOI:10.31557/APJCP.2023.24.5.1695

Asian Pac J Cancer Prev. 2023 May 1;24(5):1677-1685. doi: 10.31557/APJCP.2023.24.5.1677.

ABSTRACT

AIM: Dose calculation accuracy between Anisotropic Analytical Algorithm (AAA) and Acuros XB (AXB) for various megavoltage (MV) photon beams for both flattening filter (FF) and flattening filter free (FFF) beams and to validate the accuracy of these dose calculations using inhomogeneous phantom in volumetric modulated arc therapy (VMAT).

MATERIAL AND METHODS: A Cheese Phantom having 20 holes that can be filled with all virtual water plugs or set of density calibration plugs was used for VMAT planning using two different algorithms using either single or double arc. Further phantom was used irradiate plan in linear accelerator and the point doses measured using a 0.053 cc A1SL ionization chamber along electrometer . Different plans, cylindrical shape, C-shaped and donut targets were planned 6MV, 10MV, 6FFF MV and 10FFF MV beam energy.

RESULT: The minimum average mean dose difference was 1.2% for PTV structures between AAA and AXB (p=0.02). Apart from these structures, the following density plugs have a more than 2% difference in maximum dose with statistical significance. (i) Solid water (MD=6.1%, p=0.016), (ii) Bone 200 (2.3%, p=0.029), (iii) CB_30% (MD=2.4%, p=0.050) and (iv) Cortical bone (MD=4.3%, p=0.018). In 6MV FFF and 10 MV FFF plans, the difference between AAA and AXB was not statistically significant (Fig 3). The Conformity index for the AAA less than that of AXB, in all energies and for all the PTVs. The CI was better in AXB than AAA, but the CI was not having much variation due to changes in beam energies, particularly for Cylinder shaped PTV.

CONCLUSION: All combinations of beam energy AAA showed higher values in the maximum dose than the Acuros XB, except for the lung insert. Nonetheless, AAA showed a higher mean dose than the Acuros XB. Differences between these two algorithms for most of the beam energies are minimal.

PMID:37247288 | DOI:10.31557/APJCP.2023.24.5.1677

Asian Pac J Cancer Prev. 2023 May 1;24(5):1601-1610. doi: 10.31557/APJCP.2023.24.5.1601.

ABSTRACT

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy associated with rapid progression and an abysmal prognosis. Previous research has shown that chronic pancreatitis can significantly increase the risk of developing PDAC. The overarching hypothesis is that some of the biological processes disrupted during the inflammatory stage tend to show significant dysregulation, even in cancer. This might explain why chronic inflammation increases the risk of carcinogenesis and uncontrolled proliferation. Here, we try to pinpoint such complex processes by comparing the expression profiles of pancreatitis and PDAC tissues.

METHODS: We analyzed a total of six gene expression datasets retrieved from the EMBL-EBI ArrayExpress and NCBI GEO databases, which included 306 PDAC, 68 pancreatitis and 172 normal pancreatic samples. The disrupted genes identified were used to perform downstream analysis for ontology, interaction, enriched pathways, potential druggability, promoter methylation, and the associated prognostic value. Further, we performed expression analysis based on gender, patient’s drinking habit, race, and pancreatitis status.

RESULTS: Our study identified 45 genes with altered expression levels shared between PDAC and pancreatitis. Over-representation analysis revealed that protein digestion and absorption, ECM-receptor interaction, PI3k-Akt signaling, and proteoglycans in cancer pathways as significantly enriched. Module analysis identified 15 hub genes, of which 14 were found to be in the druggable genome category.

CONCLUSION: In summary, we have identified critical genes and various biochemical processes disrupted at a molecular level. These results can provide valuable insights into certain events leading to carcinogenesis, and therefore help identify novel therapeutic targets to improve PDAC treatment in the future.

PMID:37247279 | DOI:10.31557/APJCP.2023.24.5.1601

Asian Pac J Cancer Prev. 2023 May 1;24(5):1521-1532. doi: 10.31557/APJCP.2023.24.5.1521.

ABSTRACT

OBJECTIVE: The aim is to study the trends of lung cancer (LC) incidence in the regional context in Kazakhstan.

METHODS: The retrospective study was done using descriptive and analytical methods of oncoepidemiology. The extensive, crude and age-specific incidence rates are determined according to the generally accepted methodology used in sanitary statistics. The data were used to calculate the average percentage change (APС) using the Joinpoint regression analysis to determine the trend over the study period.

RESULTS: Over the 10 years under study, 36,916 new cases of LC were registered in the country (80.5% – in men and 19.5% – in women). During the studied years the average age of patients was 64.2±0.1 years (95%CI=63.9-64.4). The highest incidence rates per 100,000 in the entire population were found in the age groups 65-69 years (147.6±2.7), 70-74 years (159.3±2.5), and 75-79 years (147.1±3.2). The incidence of LC tended to increase only at the age of 80-84 years (APC=+1.26) and the most pronounced average annual decline rates were observed in the age groups of 45-49 years (APC=-4.09), 50-54 years (APC=-4.20) and 85+ years (APC=-4.07). The average annual standardized incidence rate was 22.2 per 100,000, and in dynamics tended to decrease (APC=-2.04). There is a decrease in incidence in almost all regions, with the exception of the Mangystau region (APC=+1.65). During the compilation of cartograms, incidence rates were determined on the basis of standardized indicators: low – up to 20.6, average – from 20.6 to 25.6, high – above 25.6 per 100,000 for the entire population.

CONCLUSION: The incidence of lung cancer in Kazakhstan is decreasing. The incidence among the male population is six times higher than among the female, while the rate of decline is more pronounced. The incidence tends to decrease in almost all regions. High rates were found in the northern and eastern regions.

PMID:37247271 | DOI:10.31557/APJCP.2023.24.5.1521

Asian Pac J Cancer Prev. 2023 May 1;24(5):1477-1486. doi: 10.31557/APJCP.2023.24.5.1477.

ABSTRACT

PROPOSAL: A distinct epidemiology, etiology, clinical characteristics, and therapeutic outcomes characterize nasopharyngeal carcinoma (NPC) from other head and neck cancers. An actualized analysis of NPC patients’ features enables a global view of NPC management. Accordingly, the current study investigated the epidemiological and clinical characteristics of Moroccan patients with NPC, as well as their 4-years survival outcomes and influencing prognostic factors.

METHODS: We prospectively analyzed data of 142 histologically confirmed Moroccan patients with NPC between October 2016 and February 2019. Kaplan-Meier and Cox regression analyses were used to assess predictive prognostic factors related to NPC. All analyses were conducted using SPSS version 21 statistical software.

RESULTS: In the present study, a net male predominance was found, with a mean age of 44±16.3 years old. Advanced stages of NPC were observed in 64.1% of patients, and 32.4% of patients presented with distant metastasis at diagnosis. The 4-years overall survival, locoregional relapse-free survival, distant metastasis-free survival and progression-free survival were 68.0%, 63.0%, 53.9%, and 39.9%, respectively. Age, N category and distant metastasis were identified as the most important independent prognosis factors for NPC in this cohort (p<0.05).

CONCLUSION: In conclusion, NPC affects young adults and is frequently diagnosed at advanced disease stages, impacting therefore negatively patients survival; which is in line with data from endemic areas for NPC. The current study clearly highlights that a greater attention should be directed to improving the management of this aggressive malignancy.

PMID:37247266 | DOI:10.31557/APJCP.2023.24.5.1477

New Microbiol. 2023 May;46(2):170-185.

ABSTRACT

The effects of clinical symptoms, laboratory indicators, and comorbidity status of SARS-CoV-2-infected patients on the severity of disease and the risk of death were investigated. Questionnaires and electronic medical records of 371 hospitalized COVID-19 patients were used for data collection (demographics, clinical manifestation, comorbidities, laboratory data). Association among categorical variables was determined using Kolmogorov-Smirnov test (P-value ≤0.05). Median age of study population (249 males, 122 females) was 65 years. Roc curves analysis found that age ≥64 years and age ≥67 years are significant cut-offs identifying patients with more severe disease and mortality at 30 days. CRP values at cut-off ≥80.7 and ≥95.8 significantly identify patients with more severe disease and mortality. Patients with more severe disease and risk of death were significantly identified with platelet value at the cut-off ≤160,000, hemoglobin value at the cut-off ≤11.7, D-Dimer values ≥1383 and ≥1270, and with values of neutrophil granulocytes (≥8.2 and ≤2) and lymphocytes (≤2 and ≤2.4). Detailed clinical investigation suggests granulocytes together with lymphopenia may be a potential indicator for diagnosis. Older age, several comorbidities (cancer, cardiovascular diseases, hypertension) and more laboratory abnormalities (CRP, D-Dimer, platelets, hemoglobin) were associated with development of more severity and mortality among COVID-19 patients.

PMID:37247238

New Microbiol. 2023 May;46(2):146-153.

ABSTRACT

Since the outbreak of the 2019 pandemic coronavirus disease (COVID-19), great attention has been given to identifying the main clinical features of the disease. Identification of laboratory parameters able to classify patients based on their risk is mandatory to improve their clinical management. We retrospectively evaluated twenty-six laboratory tests measured in COVID-19 positive patients admitted to the hospital in March and April 2020 to find any correlation between their changes and the risk of death. We divided them into surviving and non-surviving patients. A total of 1587 patients were recruited, 854 males with median age of 71 (IQR 56-81) and 733 females with median age of 77 (IQR 61-87). On admission, death was found to be positively correlated with age (p=0.001), but not with sex (p=0.640) or with hospitalization in days (p=0.827). Brain natriuretic peptide (BNP), creatinine, C-reactive protein (CRP), INR, leukocyte count, lymphocyte count, neutrophil count, and procalcitonin (PCT) demonstrated a statistically significant difference between the two groups (p<0.001), suggesting their role as markers of disease severity; only lymphocyte count resulted as an independent risk factor for death.

PMID:37247235

JMIR Med Educ. 2023 May 29;9:e47394. doi: 10.2196/47394.

ABSTRACT

BACKGROUND: Graduate students in medical fields must learn about epidemiology and data analysis to conduct their research. R is a software environment used to develop and run packages for statistical analysis; it can be challenging for students to learn because of compatibility with their computers and problems with package installations. Jupyter Notebook was used to run R, which enhanced the graduate students’ ability to learn epidemiological data analysis by providing an interactive and collaborative environment that allows for more efficient and effective learning.

OBJECTIVE: This study collected class reflections from students and their lecturer in the class “Longitudinal Data Analysis Using R,” identified problems that occurred, and illustrated how Jupyter Notebook can solve those problems.

METHODS: The researcher analyzed issues encountered in the previous class and devised solutions using Jupyter Notebook. These solutions were then implemented and applied to a new group of students. Reflections from the students were regularly collected and documented in an electronic form. The comments were then thematically analyzed and compared to those of the prior cohort.

RESULTS: Improvements that were identified included the ease of using Jupyter R for data analysis without needing to install packages, increased student questioning due to curiosity, and students having the ability to immediately use all code functions. After using Jupyter Notebook, the lecturer could stimulate interest more effectively and challenge students. Furthermore, they highlighted that students responded to questions. The student feedback shows that learning R with Jupyter Notebook was effective in stimulating their interest. Based on the feedback received, it can be inferred that using Jupyter Notebook to learn R is an effective approach for equipping students with an all-encompassing comprehension of longitudinal data analysis.

CONCLUSIONS: The use of Jupyter Notebook can improve graduate students’ learning experience for epidemiological data analysis by providing an interactive and collaborative environment that is not affected by compatibility issues with different operating systems and computers.

PMID:37247206 | DOI:10.2196/47394

West Afr J Med. 2023 May 27;40(5):533-540.

ABSTRACT

BACKGROUND: Venous thromboembolism (VTE) is a cause of increased morbidity and mortality in cancer patients. VTE is the second leading cause of death in cancer patients. Risk assessment models have been developed to identify patients at risk of VTE for thromboprophylaxis. Risk scores of patients in our environment have not been adequately investigated.

OBJECTIVE: The study evaluates the association of thrombotic risk assessment scores (using the modified Khorana risk assessment tool) and soluble P-selectin levels with thrombotic events in patients with lymphoid cancer.

METHODS: This is a comparative cross-sectional study conducted at Nnamdi Azikiwe University Teaching Hospital (NAUTH, Nnewi, Anambra State). Forty-five patients with lymphoid malignancy and 45 apparently healthy subjects participated in the study. The modified Khorana risk assessment score was used to assess cancer-associated thrombotic risk. Blood sample was collected for soluble P-selectin estimation. Data were analyzed with SPSS version 23.

RESULTS: The age of subjects with lymphoid neoplasm and controls were 49.1±15.8 years, and 49.6±11.1 years respectively (p = 0.548). Subjects with lymphoid neoplasm consist of 26 (57.8%) males and 19 (42.2%) females while the controls consist of 25 (55.6%) males and 20 (44.4%) females. Non-Hodgkin’s lymphoma was the most frequent of lymphoid neoplasm (18, 40.0%), followed by multiple myeloma (10, 22%), CLL (9, 20%), ALL (6, 13.0%) and Hodgkin’s lymphoma (2, 4.0%). Thirty-five (77.8%) subjects with lymphoid neoplasm had intermediate risk scores and 10 (22.2%) had high-risk scores. Nineteen (42.2%) of the controls had intermediate risk and 26 (57.8%) low risk. The differences in proportion were statistically significant (p < 0.001). The median (IQR) levels of soluble P-selectin were significantly higher in patients with lymphoid neoplasm (12.2 vs. 7.0ng/mL, p <0.001). Three (6.6%) patients with lymphoid malignancies had deep vein thrombosis confirmed by a Doppler ultrasound scan.

CONCLUSION: Lymphoid malignancy is associated with relatively higher thrombotic risk scores, sP-selectin levels, and venous thromboembolic events.

CONTEXTE: La thromboembolie veineuse (TEV) est une cause de morbidité et de mortalité accrues chez les patients atteints de cancer. La TEV est la deuxième cause de décès chez les patients atteints de cancer. Des modèles d’évaluation des risques ont été mis au point pour identifier les patients présentant un risque de TEV en vue d’une thromboprophylaxie. Les scores de risque des patients dans notre environnement n’ont pas été étudiés de manière adéquate.

OBJECTIF: L’étude évalue l’association des scores d’évaluation du risque thrombotique (en utilisant l’outil modifié d’évaluation du risque de Khorana) et des niveaux de P-sélectine soluble avec les événements thrombotiques chez les patients atteints d’un cancer lymphoïde.

MÉTHODES: Il s’agit d’une étude transversale comparative menée au Nnamdi Azikiwe University Teaching Hospital (NAUTH, Nnewi, État d’Anambra). Quarante-cinq patients atteints d’un cancer lymphoïde et 45 sujets apparemment sains ont participé à l’étude. Le score modifié d’évaluation du risque de Khorana a été utilisé pour évaluer le risque thrombotique associé au cancer. Un échantillon de sang a été prélevé pour l’estimation de la P-sélectine soluble. Les données ont été analysées avec SPSS version 23.

RÉSULTATS: L’âge des sujets atteints de néoplasme lymphoïde et des témoins était respectivement de 49,1±15,8 ans et 49,6±11,1 ans (p = 0,548). Les sujets atteints de néoplasme lymphoïde sont 26 (57,8 %) hommes et 19 (42,2 %) femmes, tandis que les témoins sont 25 (55,6 %) hommes et 20 (44,4 %) femmes. Le lymphome non hodgkinien était le néoplasme lymphoïde le plus fréquent (18, 40 %), suivi du myélome multiple (10, 22 %), de la LLC (9, 20 %), de la LAL (6, 13 %) et du lymphome hodgkinien (2, 4 %). Trente-cinq (77,8 %) sujets atteints de néoplasmes lymphoïdes présentaient un score de risque intermédiaire et 10 (22,2 %) un score de risque élevé. Dix-neuf (42,2 %) des témoins présentaient un risque intermédiaire et 26 (57,8 %) un risque faible. Les différences de proportion étaient statistiquement significatives (p < 0,001). Les niveaux médians (IQR) de P-sélectine soluble étaient significativement plus élevés chez les patients atteints de néoplasme lymphoïde (12,2 vs. 7,0 ng/mL, p <0,001). Trois (6,6 %) patients atteints de tumeurs lymphoïdes ont présenté une thrombose veineuse profonde confirmée par une échographie Doppler.

CONCLUSION: Les tumeurs malignes lymphoïdes sont associées à des scores de risque thrombotique, des taux de sP-sélectine et des événements thromboemboliques veineux relativement plus élevés.

MOTS-CLÉS: Malignité lymphoïde, Thrombose, P-sélectine soluble, Scores d’évaluation du risqué.

PMID:37247203

Ir J Med Sci. 2023 May 29. doi: 10.1007/s11845-023-03379-6. Online ahead of print.

ABSTRACT

PURPOSE: Vascular endothelial growth factor (VEGF) has a critical role in age-related macular degeneration (AMD), and intravitreal injection of anti-VEGF drugs is the mainstay of neovascular AMD treatment. Blood neutrophil-to-lymphocyte ratio (NLR) is shown to be a biomarker of inflammation in AMD. We aimed to investigate the role of NLR in predicting favorable short-term anti-VEGF treatment results in neovascular AMD patients.

METHODS: A total of 112 patients diagnosed with exudative AMD and had taken 3 monthly intravitreal bevacizumab injections were analyzed retrospectively. Medical records were reached to obtain neutrophil and lymphocyte values to calculate NLR. Best-corrected visual acuity and central macular thickness (CMT) measurements were recorded at each visit. T test or Mann-Whitney U test was used to compare continuous variables, and chi-square test was used to compare categorical variables. Receiver operating characteristics curve (ROC) analysis was performed to determine cut-off, sensitivity, and specificity values. P value of ≤ 0.05 was considered statistically significant.

RESULTS: The mean age was 68.1 ± 7.2 years, and the mean NLR was 2.11 ± 0.81. The ROC analysis revealed a cut off value of 2.0 for NLR to predict at least 100 μm CMT change (sensitivity 87.1%; specificity 87.8%) and a cut off value of 2.4 for NLR to predict at least 0.1 logMAR visual improvement (sensitivity 77.2%; specificity 64.8%) after 3 monthly IVT bevacizumab injections.

CONCLUSION: NLR can provide additional prognostic information for the identification of patients with a good initial response to anti-VEGF therapy.

PMID:37247185 | DOI:10.1007/s11845-023-03379-6