Article
Multidisciplinary Sciences
Janhavi R. Raut, Ben Schoettker, Bernd Holleczek, Feng Guo, Megha Bhardwaj, Kaya Miah, Petra Schrotz-King, Hermann Brenner
Summary: This study proposes a blood-based microRNA signature for identifying high-risk populations for colorectal cancer screening. Circulating microRNAs (miRNAs) are found to improve colorectal cancer risk prediction, with a 7-miRNA score showing higher predictive ability compared to environmental and polygenic risk scores.
NATURE COMMUNICATIONS
(2021)
Article
Multidisciplinary Sciences
Jia Liu, Binglin Chen, Man Yang, Yun Qian, Qian Shen, Hai Chen, Yunqiu Dong, Lu Wang, Jiandong Jiao
Summary: This study conducted a nested case-control study in a community-based population in China and identified three plasma miRNAs (miRNA-29a, miRNA-125b, miRNA-145) significantly associated with colorectal cancer risk, which may serve as potential biomarkers for early detection and individual risk prediction of colorectal cancer.
SCIENTIFIC REPORTS
(2023)
Review
Biochemistry & Molecular Biology
Alvaro Gutierrez, Hannah Demond, Priscilla Brebi, Carmen Gloria Ili
Summary: Colorectal cancer is the third most common cancer globally, and biomarkers play a crucial role in diagnosis and predicting metastasis. Key signaling pathways associated with cancer progression include the MAPK pathway, p53 pathway, and TGF-beta pathway.
Review
Biochemistry & Molecular Biology
Aneta L. Zygulska, Piotr Pierzchalski
Summary: Colorectal cancer is a leading cause of cancer death worldwide, and early diagnosis is crucial for improving survival rates. Current diagnostic methods have suboptimal accuracy, while new molecular noninvasive tests based on CRC alterations are more sensitive and specific. Identifying ideal diagnostic biomarkers remains a challenge.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Biochemistry & Molecular Biology
Letizia Masi, Ivan Capobianco, Carlotta Magri, Irene Marafini, Valentina Petito, Franco Scaldaferri
Summary: Inflammatory bowel disease (IBD) is a chronic relapsing autoimmune disease, and miRNAs have the potential to serve as important biomarkers in diagnosis and treatment, as well as for developing a new screening model for colorectal cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Oncology
I-Ping Yang, Kwan-Ling Yip, Yu-Tang Chang, Yen-Cheng Chen, Ching-Wen Huang, Hsiang-Lin Tsai, Yung-Sung Yeh, Jaw-Yuan Wang
Summary: It takes nearly two decades for a cancer lesion to develop from normal colon mucosa, but most colorectal cancer patients are at advanced stages at diagnosis. Chemotherapy, targeted therapy, and radiotherapy can improve the prognosis, but therapy resistance is common, and survival rates remain poor for patients with locally advanced or metastatic colorectal cancer. MicroRNAs (miRs) can regulate cancer pathways and serve as predictive biomarkers for detecting cancer or resistance to treatment. MiRNA-based therapeutics may reach clinical stages.
Review
Cell Biology
Fangfang Yang, Guoyun Xuan, Yixin Chen, Lichao Cao, Min Zhao, Chen Wang, Erfei Chen
Summary: Colorectal cancer is a common type of cancer and a leading cause of mortality worldwide. MicroRNAs play important roles in the development and progression of colorectal cancer, serving as clinical biomarkers and therapeutic targets. However, the complex network of miRNA/target regulation in colorectal cancer remains unclear.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Review
Biochemistry & Molecular Biology
K. Auxzilia Preethi, Sushmaa Chandralekha Selvakumar, Kehinde Ross, Selvaraj Jayaraman, Deusdedit Tusubira, Durairaj Sekar
Summary: This article reviews the use of exosomal miRNAs as biomarkers for cancer diagnosis and prognosis. Exosomal miRNAs are stable and can be used for early and minimally invasive diagnosis, providing important insights for cancer management.
Review
Oncology
Ying Yang, Wen-Jian Meng, Zi-Qiang Wang
Summary: Colorectal cancer is one of the most common and lethal malignant tumors in the world. MicroRNAs have been identified as key regulators in CRC and potential targets to overcome drug resistance.
FRONTIERS IN ONCOLOGY
(2022)
Article
Medicine, General & Internal
Zainab Aziz, Sophie Wagner, Alice Agyekum, Yoanna S. Pumpalova, Matthew Prest, Francesca Lim, Sheila Rustgi, Fay Kastrinos, William M. Grady, Chin Hur
Summary: Despite recommendations for universal screening, adherence to colorectal cancer screening in the US is low. This study evaluated the cost-effectiveness of liquid biopsy for colorectal cancer screening and found that colonoscopy was the most cost-effective strategy, while liquid biopsy was not cost-effective at its current cost and screening performance.
Article
Biochemistry & Molecular Biology
Brian G. Jorgensen, Seungil Ro
Summary: This article reviews the current literature on miRNAs associated with colorectal cancer (CRC) and their potential use as biomarkers for the diagnosis of gastrointestinal cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Review
Biochemistry & Molecular Biology
Yaashini Rajasegaran, Adam Azlan, Aliaa Arina Rosli, Mot Yee Yik, Khor Kang Zi, Narazah Mohd Yusoff, Emmanuel Jairaj Moses
Summary: MicroRNAs play a crucial role in cancer by regulating various cancer hallmarks such as proliferation, invasion, and metastasis. Understanding the mechanisms of miRNA regulation in different cancer hallmarks can provide insights for utilizing microRNAs as biomarkers and therapeutic targets in cancer research.
Review
Biochemistry & Molecular Biology
Mei Zhang, Hong-chun Xian, Li Dai, Ya-ling Tang, Xin-hua Liang
Summary: Perineural invasion (PNI) is a common clinical feature in malignant tumors that can lead to postoperative recurrence and metastasis. Recent studies have shown that miRNA plays a crucial role in regulating PNI, offering potential new biomarkers and therapeutic targets for cancer treatment.
CELL AND BIOSCIENCE
(2021)
Article
Medicine, Research & Experimental
M. Toledano-Fonseca, M. A. Gomez-Espana, E. Elez, C. Gravalos, P. Garcia-Alfonso, R. Rodriguez, F. Losa, I. Ales Diaz, B. Grana, M. Valladares-Ayerbes, M. V. Garcia-Ortiz, E. Polo, M. Salgado, F. Rivera, M. J. Safont, A. Salud, A. Ruiz-Casado, J. M. Tabernero, M. C. Riesco, A. Rodriguez-Ariza, E. Aranda
Summary: This study examined the profiles of circulating microRNAs (miRNAs) in metastatic colorectal cancer patients and found that certain miRNAs, such as hsa-miR-33b-5p, could serve as valuable biomarkers for predicting response to therapy and disease progression. Combining the levels of circulating VEGF-A with miR-33b-5p further improved the stratification of patients.
BIOMEDICINE & PHARMACOTHERAPY
(2023)
Review
Pharmacology & Pharmacy
Mir S. Adil, Daulat Khulood, Payaningal R. Somanath
Summary: miRNAs, a subset of non-coding RNAs, play crucial roles in regulating gene expression in various cellular processes, particularly in cell differentiation, proliferation, apoptosis, and tumorigenesis. They can be modulated using techniques such as miRNA mimics or antagonists and hold potential applications in cancer therapy and early diagnosis. Recent evidence suggests that miRNA-mediated gene regulation intersects with the Akt pathway, forming a regulatory network that may greatly impact cancer therapy.
BIOCHEMICAL PHARMACOLOGY
(2021)
Article
Statistics & Probability
Muhammad Suhail, Sohail Chand, Muhammad Aslam
Summary: This article proposes a new quantile based ridge M-estimator for multiple linear regression models. The estimator automatically chooses the quantile probability of the ridge parameter based on the level of noise and multicollinearity, and outperforms other methods in cases of high multicollinearity, significant error variance, and y-direction outliers.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Statistics & Probability
Zahra Zafar, Muhammad Aslam
Summary: This article extensively discusses the issue of heteroscedasticity and its negative impact on linear regression model estimation. It introduces a relatively new approach called the least squares ratio method to estimate a linear regression model in the presence of heteroscedasticity and outliers. An adaptive version of this technique is proposed, taking advantage of existing adaptive estimators to address the issue of unknown heteroscedasticity. Monte Carlo simulation is used to evaluate the performance of the proposed estimator under varying degrees of heteroscedasticity and number of outliers.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Statistics & Probability
Abdul Majid, Muhammad Amin, Muhammad Aslam, Shakeel Ahmad
Summary: The ridge regression estimator is widely used in multiple linear regression models, but it may have adverse effects when outliers are present. To address this, robust ridge estimators based on M-estimator are proposed, which are less sensitive to outliers. This study introduces robust ridge estimators for the ridge parameter and evaluates their performance through simulations and a real application. The results show that the proposed robust ridge estimators outperform the traditional methods in terms of mean squared error.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Statistics & Probability
Abdul Majid, Muhammad Aslam
Summary: The Almon technique is a widely used estimation procedure for the distributed lag model, and this study proposes a robust estimator for parameter vector of the model when data set is contaminated with outliers. The study also introduces robust t-tests and confidence intervals for the lag coefficients. The simulation results reveal the attractive performance of the proposed methods in the presence of outliers in the y-direction.
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
(2023)
Article
Engineering, Multidisciplinary
Muhammad Aslam, Majid Khan, Syed Masroor Anwar, Babar Zaman
Summary: This study proposes a control chart based on gamma distribution for monitoring the time between events, which is more efficient and robust compared to competing control charts.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Computer Science, Artificial Intelligence
Navid Feroze, Muhammad Aslam
Summary: This paper investigates Bayesian analysis methods for left-censored heterogeneous data, explores a two-component Weibull mixture distribution as a suitable model, and uses MCMC methods and Lindley's approximation for parameter estimation. The proposed estimators demonstrate efficiency under various conditions and are validated using three real datasets.
Article
Mathematics, Applied
Hassen Aydi, Samina Batul, Muhammad Aslam, Dur-e-Shehwar Sagheer, Eskandar Ameer
Summary: This article is based on the concept of partial extended b-metric spaces and presents fixed point results for single and multivalued mappings on such spaces. Examples are provided to illustrate the concepts.
JOURNAL OF FUNCTION SPACES
(2022)
Article
Mathematics, Applied
Muhammad Zishan Anwar, Shahida Bashir, Muhammad Aslam, Muhammad Shabir
Summary: The major advantage of this proposed work is to investigate the roughness of intuitionistic fuzzy subsemigroups using soft relations. Two sets of intuitionistic fuzzy soft subsemigroups are introduced, which handle incomplete and insufficient information in decision-making problems.
JOURNAL OF FUNCTION SPACES
(2022)
Retraction
Multidisciplinary Sciences
Muhammad Aslam, Abdulmohsen Al Shareef, Khushnoor Khan
SCIENTIFIC REPORTS
(2022)
Retraction
Multidisciplinary Sciences
Muhammad Aslam
SCIENTIFIC REPORTS
(2022)
Article
Meteorology & Atmospheric Sciences
Khalil Ullah, Muhammad Aslam, Nasir Abbas, Syed Irfan Shah
Summary: This study extends the paired comparisons method to accommodate ties and analyzes it using the Bayesian paradigm. It examines the ranking of ecological factors.
Article
Engineering, Multidisciplinary
Nasrullah Khan, Muhammad Aslam
Summary: Khan et al. introduced a modified exponentially weighted moving average (EWMA) statistic for approximating control chart results. In this paper, the authors will correct the results using Monte Carlo simulation and show that the modified EWMA is more efficient than the traditional EWMA in terms of average run length.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Plant Sciences
Shabir Ahmad Khan, Ali Akbar, Muhammad Aslam, Muhammad Shafee, Abdul Samad, Fazal Ur Rehman, Khalid Mehmood, Imran Ali
Summary: In this study, halophilic fungi were isolated from a mangrove ecosystem in Pakistan and their biotechnological potential was analyzed. The isolated fungi were found to have a wide range of biotechnologically important metabolites, including antibacterial, antifungal, and antioxidant compounds. The microbial biodiversity of mangrove ecosystems can be a valuable source of such metabolites.
PAKISTAN JOURNAL OF BOTANY
(2022)
Article
Engineering, Multidisciplinary
M. A. Raza, M. Aslam, M. Farooq, R. A. K. Sherwani, S. H. Bhatti, T. Ahmad
Summary: This study proposes a dual Exponentially Weighted Moving Average (EWMA) statistics-based nonparametric sign control chart to monitor process deviation. The proposed chart is shown to outperform existing counterparts through simulation study and real dataset application.
Review
Chemistry, Multidisciplinary
Muneeb Irshad, Quar tul Ain, Muhammad Zaman, Muhammad Zeeshan Aslam, Naila Kousar, Muhammad Asim, Muhammad Rafique, Khurram Siraj, Asif Nadeem Tabish, Muhammad Usman, Masood ul Hassan Farooq, Mohammed Ali Assiri, Muhammad Imran
Summary: This article focuses on the application of perovskite materials in photocatalysis. Perovskite materials have the flexibility in structure, chemical composition, and stoichiometry, making them highly effective in various photocatalysis applications such as water pollutant degradation, water splitting, CO2 reduction, and nitrogen fixation.
