Najeeb Ullah Khan

Dr. Najeeb Ullah Khan


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 January 2025 in Neoplasia
Verified
Journal Article
Open access
DJDi Jin
Di Jin
NKNajeeb Ullah Khan
Najeeb Ullah Khan
WGWei Gu
Wei Gu
HLHuijun Lei
Huijun Lei
AGAjay Goel
Ajay Goel
Tianhui ChenTianhui Chen
Tianhui Chen
This review provides a comprehensive overview of the current landscape in pancreatic cancer (PC) screening, diagnosis, and early detection. This emphasizes the need for targeted screening in high-risk groups, particularly those with familial predispositions and genetic mutations, such as BRCA1, BRCA2, and PALB2. This review highlights the sporadic nature of most PC cases and significant risk factors, including smoking, alcohol consumption, obesity, and diabetes. Advanced imaging techniques, such as Endoscopic Ultrasound (EUS) and Contrast-Enhanced Harmonic Imaging (CEH-EUS), have been discussed for their superior sensitivity in early detection. This review also explores the potential of novel biomarkers, including those found in body fluids, such as serum, plasma, urine, and bile, as well as the emerging role of liquid biopsy technologies in analyzing circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomes. AI-driven approaches, such as those employed in Project Felix and CancerSEEK, have been highlighted for their potential to enhance early detection through deep learning and biomarker discovery. This review underscores the importance of universal genetic testing and the integration of AI with traditional diagnostic methods to improve outcomes in high-risk individuals. Additionally, this review points to future directions in PC diagnostics, including next-generation imaging, molecular biomarkers, and personalized medicine, aiming to overcome current diagnostic challenges and improve survival rates. Ultimately, the review advocates the adoption of informatics and AI-driven strategies to enhance early detection, reduce morbidity, and save lives in the fight against pancreatic cancer.

22 July 2020 in Journal of Clinical Laboratory Analysis
Verified
Journal Article
Open access
PDF file
NKNajeeb Ullah Khan
Najeeb Ullah Khan
LDLubna Danish
Lubna Danish
HKHydayat Ullah Khan
Hydayat Ullah Khan
MSMaryam Shah
Maryam Shah
MIMuhammad Ismail
Muhammad Ismail
AIAqib Iqbal
Aqib Iqbal
Background: Dengue is a viral disease, transmitted by infected Aedes aegypti and Aedes albopictus female mosquitoes. Worldwide, 96 million infections were estimated in 2010. The dengue virus comprises four distinct serotypes (DENV‐1, DENV‐2, DENV‐3, and DENV‐4) which belong to the genus Flavivirus. Determining the serotypes during dengue outbreaks is crucial for its effective management in terms of diagnostics improvement and polyvalent vaccine development. The aim of the present study is to determine the prevalence rate of dengue virus serotypes in the samples collected from patients during the 2017 outbreak in Khyber Pakhtunkhwa, Pakistan.Methods: A total of 800 ELISA‐positive samples were collected, of which 513 (290 males, 223 females) samples were confirmed positive by PCR.Results: Out of 513, 25 were found serotype 1 (5%), 196 were serotype 2 (38%), 192 were serotype 3 (37%), 56 were serotype 4 (11%), and 44 (8%) were found to have mix serotypes.Conclusion: We can conclude that serotypes 2 and 3 of dengue virus were the predominated serotypes of dengue virus in the 2017 outbreak in Peshawar, capital city of Khyber Pakhtunkhwa, Pakistan.

Verified
Journal Article
Open access
PDF file
AAAhmad M Alamri
Ahmad M Alamri
FAFaris Alkhilaiwi
Faris Alkhilaiwi
NKNajeeb Ullah Khan
Najeeb Ullah Khan
Despite the growth of molecular diagnosis from the era of Hippocrates, the emergence of COVID-19 is still remarkable. The previously used molecular techniques were not rapid enough to screen a vast population at home, in offices, and in hospitals. Additionally, these techniques were only available in advanced clinical laboratories.The pandemic outbreak enhanced the urgency of researchers and research and development companies to invent more rapid, robust, and portable devices and instruments to screen a vast community in a cost-effective and short time. There has been noteworthy progress in molecular diagnosing tools before and after the pandemic. This review focuses on the advancements in molecular diagnostic techniques before and after the emergence of COVID-19 and how the pandemic accelerated the implantation of molecular diagnostic techniques in most clinical laboratories towardbecoming routine tests.

25 June 2020 in Molecular Genetics & Genomic Medicine
Verified
Journal Article
Open access
PDF file
MSMaryam Shah
Maryam Shah
LDLubna Danish
Lubna Danish
NKNajeeb Ullah Khan
Najeeb Ullah Khan
FZFakhar Zaman
Fakhar Zaman
MIMuhammad Ismail
Muhammad Ismail
AIAqib Iqbal
Aqib Iqbal
Background: Hepcidin and hemochromatosis (HFE) are iron regulatory proteins that are encoded by HAMP and HFE genes. Mutation in either HAMP gene or HFE gene causes Hepcidin protein deficiency that can lead to iron overload in beta thalassemia patients. The aim of this research work was to study the presence of G71D mutation of HAMP gene and H63D mutation of HFE gene in beta thalassemia major and minor group to check the association of these mutations with serum ferritin level of beta thalassemia patients.Methods: The study was conducted on 42 beta thalassemia major and 20 beta thalassemia minor samples along with 20 control samples. The genotyping of both mutations has done by ARM‐PCR technique with specific set of primers.Results: Significant effect of G71D and H63D mutations was observed on serum ferritin level of thalassemia major group. The risk allele of HAMP G71D and HFE H63D was found with high frequency (48% and 49%, respectively) in beta thalassemia major than in control group. High genotypic frequency of HAMP and HFE gene mutation gene mutation was observed in beta thalassemia major than beta thalassemia minor and control group (7% and 9%, respectively).Conclusion: It can be concluded that both HAMP and HFE gene mutations show high frequency in beta thalassemia major patients and mean significant association between mutations and high serum ferritin level of beta thalassemia major patients but the nonsignificant results of Odd ratios showed that both mutations do not act as major risk factor in beta thalassemia major.

1 January 2025 in Oncology Research
Verified
Journal Article
Open access
AYAmjad Yousuf
Amjad Yousuf
NKNajeeb Ullah Khan
Najeeb Ullah Khan
Breast cancer is a significant global concern, with limited effective treatment options. Therefore, therapies with high efficacy and low complications, unlike the existing chemotherapies, are urgently required. To address this issue, advances have been made in therapies targeting molecular pathways related to the murine double minute 2 protooncogene (MDM2)-tumor proteinp53 (TP53) interaction. This review aims to investigate the efficacy of MDM2 inhibition in restoring TP53 activity in breast cancer cells, as evidenced by clinical studies, reviews, and trials. TP53 is a tumor suppressor and MDM2 facilitates proteasomal degradation of TP53. MDM2 and TP53 activity is tightly regulated. However, cancerous breast cells overexpress MDM2 through five hypothesized mechanisms. Consequently, TP53 levels decrease with increased tumor cell proliferation. Three strategies have been identified for controlling MDM2 upregulation in cells with wild-type or mutated TP53. MDM2 inhibitors (MDM2i) are administered in combination with existing chemotherapies to reduce their effects on healthy cells. Few clinical and preclinical studies have been conducted using MDM2i, which necessitates high-quality clinical trials to support their therapeutic potential in breast cancer therapy.

25 February 2025 in Scientific Reports
Verified
Journal Article
Open access
PDF file
AAAmeen S. S. Alwashmi
Ameen S. S. Alwashmi
NKNajeeb Ullah Khan
Najeeb Ullah Khan
Tianhui ChenTianhui Chen
Tianhui Chen
Background: Breast cancer is a major global health burden, with hereditary factors such as BRCA1/2 mutations significantly increasing the lifetime risk. This meta-analysis aimed to evaluate the outcomes of selective estrogen receptor modulators (SERMs), tamoxifen, and raloxifene as chemopreventive agents for breast cancer risk reduction in BRCA1/2 mutation carriers. Methods: A meta-analysis was conducted according to the PRISMA guidelines. PubMed, Cochrane Library, and MEDLINE databases were searched for relevant studies published between 2000 and 2024. Case-control studies and observational cohort studies examining the use of tamoxifen/raloxifene in BRCA1/2 carriers were included. Data on the incidence and risk ratios of breast cancer were also extracted. Quality was assessed using the Newcastle-Ottawa Scale (NOS). A random-effects meta-analysis was performed using Review Manager (version 5.4.0). Results: Nine studies (13,676 women) were included. Two studies had low risk, and the remaining seven studies had moderate risk, as assessed by the NOS checklist. Pooled analysis showed tamoxifen/raloxifene decreased breast cancer risk compared to controls (RR 0.80, 95% CI 0.72–0.88, p = 0.04). The risk ratio of breast cancer incidence among BRCA1/2 carriers was reduced after tamoxifen use (RR 1.82, 95% CI 1.48–2.23, p < 0.00001). Subgroup analysis revealed reduced breast cancer risk with SERM use in both BRCA1 (RR 1.51, 95% CI 1.48–1.51) and BRCA2 carriers (RR 1.48, 95% CI 1.40–1.58). The heterogeneity ranged from 51 to 85%, representing high significance and variation in true effect sizes underlying the different included studies. Whereas the heterogeneity among subgroups BRCA1 and BRCA2 was 98%, and the difference was 0%, showing no difference in response to SERM for risk reduction of breast cancer. Conclusion: This meta-analysis provides evidence that tamoxifen and raloxifene significantly reduce the breast cancer risk in women with BRCA1/2 mutations. Chemoprevention efficacy was similar for both BRCA1 and BRCA2 carriers. Further research is needed to validate these findings and to optimize their use in high-risk populations.