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Dubey AK, Kaur I, Madaan R, Raheja S, Bala R, Garg M, Kumar S, Lather V, Mittal V, Pandita D, Gundamaraju R, Singla RK, Sharma R. Unlocking the potential of oncology biomarkers: advancements in clinical theranostics. Drug Metab Pers Ther 2024; 39:5-20. [PMID: 38469723 DOI: 10.1515/dmpt-2023-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 01/11/2024] [Indexed: 03/13/2024]
Abstract
INTRODUCTION Cancer biomarkers have revolutionized the field of oncology by providing valuable insights into tumor changes and aiding in screening, diagnosis, prognosis, treatment prediction, and risk assessment. The emergence of "omic" technologies has enabled biomarkers to become reliable and accurate predictors of outcomes during cancer treatment. CONTENT In this review, we highlight the clinical utility of biomarkers in cancer identification and motivate researchers to establish a personalized/precision approach in oncology. By extending a multidisciplinary technology-based approach, biomarkers offer an alternative to traditional techniques, fulfilling the goal of cancer therapeutics to find a needle in a haystack. SUMMARY AND OUTLOOK We target different forms of cancer to establish a dynamic role of biomarkers in understanding the spectrum of malignancies and their biochemical and molecular characterization, emphasizing their prospective contribution to cancer screening. Biomarkers offer a promising avenue for the early detection of human cancers and the exploration of novel technologies to predict disease severity, facilitating maximum survival and minimum mortality rates. This review provides a comprehensive overview of the potential of biomarkers in oncology and highlights their prospects in advancing cancer diagnosis and treatment.
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Affiliation(s)
- Ankit Kumar Dubey
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, 34753 Sichuan University , Chengdu, P.R. China
- iGlobal Research and Publishing Foundation, New Delhi, India
| | - Ishnoor Kaur
- Chitkara College of Pharmacy, 154025 Chitkara University Punjab , Rajpura, India
| | - Reecha Madaan
- Chitkara College of Pharmacy, 154025 Chitkara University Punjab , Rajpura, India
| | - Shikha Raheja
- Jan Nayak Ch. Devi Lal Memorial College of Pharmacy, Sirsa, Haryana, India
| | - Rajni Bala
- Chitkara College of Pharmacy, 154025 Chitkara University Punjab , Rajpura, India
| | - Manoj Garg
- Amity Institute of Molecular Medicine & Stem Cell Research, 77282 Amity University, Sector-125 , Noida, India
| | - Suresh Kumar
- Department of Pharmaceutical Sciences and Drug Research, 429174 Punjabi University Patiala , Patiala, India
| | - Viney Lather
- Amity Institute of Pharmacy, 77282 Amity University , Noida, India
| | - Vineet Mittal
- Department of Pharmaceutical Sciences, 29062 Maharshi Dayanand University , Rohtak, Haryana, India
| | - Deepti Pandita
- Department of Pharmaceutics, Delhi Pharmaceutical Sciences and Research University, PushpVihar, 633274 Govt. of NCT of Delhi , New Delhi, India
- Centre for Advanced Formulation and Technology (CAFT), Delhi Pharmaceutical Sciences and Research University, PushpVihar, Govt. of NCT of Delhi, New Delhi, India
| | - Rohit Gundamaraju
- ER Stress and Mucosal Immunology Lab, School of Health Sciences, 8785 University of Tasmania , Launceston, Tasmania, Australia
- School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Rajeev K Singla
- Joint Laboratory of Artificial Intelligence for Critical Care Medicine, Department of Critical Care Medicine and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, 34753 Sichuan University , Chengdu, P.R. China
- School of Pharmaceutical Sciences, 34753 Lovely Professional University , Phagwara, Punjab, India
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, 80095 Banaras Hindu University , Varanasi, Uttar Pradesh, India
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Zhang Z, Jin G, Zhao J, Deng S, Chen F, Wuyun G, Zhao L, Li Q. Mitochondrial energy metabolism correlates with an immunosuppressive tumor microenvironment and poor prognosis in esophageal squamous cell carcinoma. Comput Struct Biotechnol J 2023; 21:4118-4133. [PMID: 37664173 PMCID: PMC10474161 DOI: 10.1016/j.csbj.2023.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/16/2023] [Accepted: 08/23/2023] [Indexed: 09/05/2023] Open
Abstract
Background Reprogramming of mitochondrial energy metabolism (MEM) is an important hallmark of tumorigenesis and cancer progression. Currently, there are no studies that have examined MEM in the tumor microenvironment (TME) of esophageal squamous cell carcinoma (ESCC), and relevant drug targets have not yet been identified. Methods The ESCC single-cell transcriptome sequencing dataset, GSE145370, was analyzed, using the AUCell R package to screen for MEM-related genes in high-scoring cell populations. Monocle was used to infer cell differentiation and CellChat to analyze intercellular communication networks. Finally, transcription levels of prognostic genes were analyzed using a complementary DNA microarray from 15 patients with ESCC. Results A total of 121 MEM-related genes were differentially expressed in seven cell populations in the TME, and four high-scoring cell populations were identified. As a result, the MEM state of T cells is significantly different from that of macrophages and epithelial cells, and signaling communication between T cells and macrophages is the strongest. These findings suggest that immunosuppression is related to metabolic reprogramming. Additionally, marker genes of high-scoring cells and the top10 receptor-ligand pairs may become new targets for rebuilding immune cell metabolism. Furthermore, the 4-MEM gene risk signature had good predictive power for overall survival and drug sensitivity. MAP1LC3A, APOE, APPL1, and NDUFA are novel potential immunotherapeutic targets for remodeling the TME. Finally, teal-time quantitative PCR was used to verify APOE and MAP1LC3A expression. Conclusion MEM heterogeneity was observed in the immunosupressive TME of ESCC. Prognostic models based on MEM-related genes are helpful for screening early treatment patient groups and realizing personalized treatment. APOE and MAP1LC3A are potential target genes for the development of anti-ESCC drugs based on MEM-related genes.
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Affiliation(s)
- Zewei Zhang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Gaowa Jin
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
| | - Juan Zhao
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
| | - Shuqin Deng
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
| | - Feng Chen
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
| | - Gaowa Wuyun
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
| | - Lei Zhao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Quanfu Li
- Department of Medical Oncology, Ordos Central Hospital, Ordos, China
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Styk J, Pös Z, Pös O, Radvanszky J, Turnova EH, Buglyó G, Klimova D, Budis J, Repiska V, Nagy B, Szemes T. Microsatellite instability assessment is instrumental for Predictive, Preventive and Personalised Medicine: status quo and outlook. EPMA J 2023; 14:143-165. [PMID: 36866160 PMCID: PMC9971410 DOI: 10.1007/s13167-023-00312-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023]
Abstract
A form of genomic alteration called microsatellite instability (MSI) occurs in a class of tandem repeats (TRs) called microsatellites (MSs) or short tandem repeats (STRs) due to the failure of a post-replicative DNA mismatch repair (MMR) system. Traditionally, the strategies for determining MSI events have been low-throughput procedures that typically require assessment of tumours as well as healthy samples. On the other hand, recent large-scale pan-tumour studies have consistently highlighted the potential of massively parallel sequencing (MPS) on the MSI scale. As a result of recent innovations, minimally invasive methods show a high potential to be integrated into the clinical routine and delivery of adapted medical care to all patients. Along with advances in sequencing technologies and their ever-increasing cost-effectiveness, they may bring about a new era of Predictive, Preventive and Personalised Medicine (3PM). In this paper, we offered a comprehensive analysis of high-throughput strategies and computational tools for the calling and assessment of MSI events, including whole-genome, whole-exome and targeted sequencing approaches. We also discussed in detail the detection of MSI status by current MPS blood-based methods and we hypothesised how they may contribute to the shift from conventional medicine to predictive diagnosis, targeted prevention and personalised medical services. Increasing the efficacy of patient stratification based on MSI status is crucial for tailored decision-making. Contextually, this paper highlights drawbacks both at the technical level and those embedded deeper in cellular/molecular processes and future applications in routine clinical testing.
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Affiliation(s)
- Jakub Styk
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia ,Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia
| | - Zuzana Pös
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Institute of Clinical and Translational Research, Biomedical Research Centre, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia
| | - Ondrej Pös
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia
| | - Jan Radvanszky
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Institute of Clinical and Translational Research, Biomedical Research Centre, Slovak Academy of Sciences, 845 05 Bratislava, Slovakia ,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia
| | - Evelina Hrckova Turnova
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Slovgen Ltd, 841 04 Bratislava, Slovakia
| | - Gergely Buglyó
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Daniela Klimova
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
| | - Jaroslav Budis
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Slovak Centre of Scientific and Technical Information, 811 04 Bratislava, Slovakia
| | - Vanda Repiska
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia ,Medirex Group Academy, NPO, 949 05 Nitra, Slovakia
| | - Bálint Nagy
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Tomas Szemes
- Comenius University Science Park, 841 04 Bratislava, Slovakia ,Geneton Ltd, 841 04 Bratislava, Slovakia ,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 841 04 Bratislava, Slovakia
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Johdi NA, Sukor NF. Colorectal Cancer Immunotherapy: Options and Strategies. Front Immunol 2020; 11:1624. [PMID: 33042104 PMCID: PMC7530194 DOI: 10.3389/fimmu.2020.01624] [Citation(s) in RCA: 220] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/17/2020] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer is the third most common cancer in the world with increasing incidence and mortality rates globally. Standard treatments for colorectal cancer have always been surgery, chemotherapy and radiotherapy which may be used in combination to treat patients. However, these treatments have many side effects due to their non-specificity and cytotoxicity toward any cells including normal cells that are growing and dividing. Furthermore, many patients succumb to relapse even after a series of treatments. Thus, it is crucial to have more alternative and effective treatments to treat CRC patients. Immunotherapy is one of the new alternatives in cancer treatment. The strategy is to utilize patients' own immune systems in combating the cancer cells. Cancer immunotherapy overcomes the issue of specificity which is the major problem in chemotherapy and radiotherapy. The normal cells with no cancer antigens are not affected. The outcomes of some cancer immunotherapy have been astonishing in some cases, but some which rely on the status of patients' own immune systems are not. Those patients who responded well to cancer immunotherapy have a better prognostic and better quality of life.
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Affiliation(s)
- Nor Adzimah Johdi
- UKM Medical Molecular Biology Institute (UMBI), National University of Malaysia, Bangi, Malaysia
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Li K, Luo H, Huang L, Luo H, Zhu X. Microsatellite instability: a review of what the oncologist should know. Cancer Cell Int 2020; 20:16. [PMID: 31956294 PMCID: PMC6958913 DOI: 10.1186/s12935-019-1091-8] [Citation(s) in RCA: 258] [Impact Index Per Article: 64.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 12/28/2019] [Indexed: 02/06/2023] Open
Abstract
The patients with high microsatellite instability (MSI-H)/mismatch repair deficient (dMMR) tumors recently have been reported that can benefit from immunotherapy, and MSI can be used as a genetic instability of a tumor detection index. However, many studies have shown that there are many heterogeneous phenomena in patients with MSI tumors in terms of immunotherapy, prognosis and chemotherapy sensitivity. Here we mainly review the research results of MSI detection methods, the mechanisms of MSI occurrence and its relationship with related tumors, aiming to make a brief analysis of the current research status of MSI and provide comparable reference and guidance value for further research in this field.
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Affiliation(s)
- Kai Li
- 1Guangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023 China.,2The Marine Biomedical Research Institute, Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, Guangdong Medical University, Zhanjiang, 524023 China.,3Cancer Center, The Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524023 China
| | - Haiqing Luo
- 3Cancer Center, The Affiliated Hospital, Guangdong Medical University, Zhanjiang, 524023 China
| | - Lianfang Huang
- 1Guangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023 China.,2The Marine Biomedical Research Institute, Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, Guangdong Medical University, Zhanjiang, 524023 China
| | - Hui Luo
- 2The Marine Biomedical Research Institute, Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, Guangdong Medical University, Zhanjiang, 524023 China
| | - Xiao Zhu
- 1Guangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical University, Zhanjiang, 524023 China.,2The Marine Biomedical Research Institute, Southern Marine Science and Engineering Guangdong Laboratory Zhanjiang, Guangdong Medical University, Zhanjiang, 524023 China
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