Muhammad Tufail

Dr. Muhammad Tufail

Shanxi university
orcid

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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18 September 2024 in Molecular Cancer
Verified
Journal Article
Open access
PDF file
MTMuhammad Tufail
Muhammad Tufail
CJCan-Hua Jiang
Can-Hua Jiang
NLNing Li
Ning Li
Cancer cells undergo significant metabolic reprogramming to support their rapid growth and survival. This study examines important metabolic pathways like glycolysis, oxidative phosphorylation, glutaminolysis, and lipid metabolism, focusing on how they are regulated and their contributions to the development of tumors. The interplay between oncogenes, tumor suppressors, epigenetic modifications, and the tumor microenvironment in modulating these pathways is examined. Furthermore, we discuss the therapeutic potential of targeting cancer metabolism, presenting inhibitors of glycolysis, glutaminolysis, the TCA cycle, fatty acid oxidation, LDH, and glucose transport, alongside emerging strategies targeting oxidative phosphorylation and lipid synthesis. Despite the promise, challenges such as metabolic plasticity and the need for combination therapies and robust biomarkers persist, underscoring the necessity for continued research in this dynamic field.

31 July 2025 in Signal Transduction and Targeted Therapy
Verified
Journal Article
Open access
PDF file
MTMuhammad Tufail
Muhammad Tufail
CJCan-Hua Jiang
Can-Hua Jiang
NLNing Li
Ning Li
Immune evasion represents a significant challenge in oncology. It allows tumors to evade immune surveillance and destruction, thereby complicating therapeutic interventions and contributing to suboptimal patient outcomes. This review addresses the critical need to understand how cancers evade immune surveillance. It aims to provide a comprehensive overview of strategies of tumors to escape immune detection by examining tumor-induced immune suppression, immune checkpoint regulation, and genetic and epigenetic influences. Moreover, it explores the dynamic role of the tumor microenvironment (TME) in fostering immune resistance and highlights the impact of metabolic reprogramming on immune suppression. Additionally, this review focuses on how tumor heterogeneity influences immune evasion and discusses the limitations of current immunotherapies. The role of key signaling pathways, including programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1), cytotoxic T-lymphocyte–associated antigen 4 (CTLA-4), transforming growth factor-β (TGF-β), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), and cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS–STING) is analyzed to elucidate their contributions to immune escape. Emphasizing the complexities of immune evasion, this review underscores the importance of personalized approaches and the integration of multi-omics data to combat therapeutic resistance. Furthermore, it discusses novel and emerging therapeutic strategies, such as bispecific antibodies, oncolytic viruses, and nanotechnology-driven immunotherapies, showcasing innovative avenues in cancer treatment. The significance of this review lies in its potential to guide future research and innovations in immunotherapy, ultimately improving patient outcomes and advancing our understanding of cancer immunology.

15 May 2024 in iScience
Verified
Journal Article
Open access
MTMuhammad Tufail
Muhammad Tufail
JHJia-Ju Hu
Jia-Ju Hu
JLJie Liang
Jie Liang
CHCai-Yun He
Cai-Yun He
WWWen-Dong Wan
Wen-Dong Wan
NLNing Li
Ning Li
This review explores the hallmarks of cancer resistance, including drug efflux mediated by ATP-binding cassette (ABC) transporters, metabolic reprogramming characterized by the Warburg effect, and the dynamic interplay between cancer cells and mitochondria. The role of cancer stem cells (CSCs) in treatment resistance and the regulatory influence of non-coding RNAs, such as long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and circular RNAs (circRNAs), are studied. The chapter emphasizes future directions, encompassing advancements in immunotherapy, strategies to counter adaptive resistance, integration of artificial intelligence for predictive modeling, and the identification of biomarkers for personalized treatment. The comprehensive exploration of these hallmarks provides a foundation for innovative therapeutic approaches, aiming to navigate the complex landscape of cancer resistance and enhance patient outcomes.

2 April 2025 in Molecular Cancer
Verified
Journal Article
Open access
PDF file
MTMuhammad Tufail
Muhammad Tufail
CJCan-Hua Jiang
Can-Hua Jiang
NLNing Li
Ning Li
The Wnt signaling pathway plays a crucial role in development and tissue homeostasis, regulating key cellular processes such as proliferation, differentiation, and apoptosis. However, its abnormal activation is strongly associated with tumorigenesis, metastasis, and resistance to therapy, making it a vital target for cancer treatment. This review provides a comprehensive insight into the role of Wnt signaling in cancer, examining its normal physiological functions, dysregulation in malignancies, and therapeutic potential. We emphasize the importance of predicting Wnt signaling sensitivity and identify key biomarkers across various cancer types. Additionally, we address the challenges and future prospects of Wnt-targeted therapies, including biomarker discovery, advancements in emerging technologies, and their application in clinical practice.

17 May 2024 in Chemico-Biological Interactions
Verified
Journal Article
Closed access
MTMuhammad Tufail
Muhammad Tufail
WWWen-Dong Wan
Wen-Dong Wan
CJCanhua Jiang
Canhua Jiang
NLNing Li
Ning Li

3 January 2024 in Journal of Translational Medicine
Verified
Journal Article
Open access
PDF file
MTMuhammad Tufail
Muhammad Tufail
JHJia-Ju Hu
Jia-Ju Hu
JLJie Liang
Jie Liang
CHCai-Yun He
Cai-Yun He
WWWen-Dong Wan
Wen-Dong Wan
NLNing Li
Ning Li
Breast cancer (BC) is a multifaceted disease characterized by distinct molecular subtypes and varying responses to treatment. In BC, the phosphatidylinositol 3-kinase (PI3K) pathway has emerged as a crucial contributor to the development, advancement, and resistance to treatment. This review article explores the implications of the PI3K pathway in predictive, preventive, and personalized medicine for BC. It emphasizes the identification of predictive biomarkers, such as PIK3CA mutations, and the utility of molecular profiling in guiding treatment decisions. The review also discusses the potential of targeting the PI3K pathway for preventive strategies and the customization of therapy based on tumor stage, molecular subtypes, and genetic alterations. Overcoming resistance to PI3K inhibitors and exploring combination therapies are addressed as important considerations. While this field holds promise in improving patient outcomes, further research and clinical trials are needed to validate these approaches and translate them into clinical practice. Graphical Abstract