Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation
BackgroundSorafenib, a multi-kinase inhibitor, is a key therapeutic agent in the treatment of advanced hepatocellular carcinoma (HCC), metastatic renal cell carcinoma (RCC), and radioactive iodine-refractory differentiated thyroid cancer (DTC). However, its clinical efficacy is frequently hampered b...
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Pharmacology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2025.1581820/full |
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| author | Qiong Zhou Rui Wang |
| author_facet | Qiong Zhou Rui Wang |
| author_sort | Qiong Zhou |
| collection | DOAJ |
| description | BackgroundSorafenib, a multi-kinase inhibitor, is a key therapeutic agent in the treatment of advanced hepatocellular carcinoma (HCC), metastatic renal cell carcinoma (RCC), and radioactive iodine-refractory differentiated thyroid cancer (DTC). However, its clinical efficacy is frequently hampered by the rising prevalence of sorafenib resistance, particularly in HCC. This reality underscores the urgent need for a comprehensive pan-cancer investigation to elucidate the underlying mechanisms of resistance.MethodsWe employed a systematic bibliometric approach utilizing the Web of Science Core Collection to conduct a structured literature search. Performance analysis and visualization were conducted using VOSviewer and CiteSpace. A triphasic screening protocol was implemented to identify publications focused on sorafenib resistance, covering a period from 2006 to 2025.ResultsOur analysis identified 1,484 eligible publications, with a peak of 194 articles published in 2022. The majority of research (79.48%) centered on HCC, with significant contributions from institutions in China and the United States. Co-authorship and keyword network analyses revealed a robust interdisciplinary collaboration landscape. Key themes emerged, including dysregulation of drug transporters and clearance mechanisms, metabolic reprogramming, programmed cell death, interactions within the tumor microenvironment, and epigenetic regulatory mechanisms, highlighting critical areas contributing to resistance.ConclusionThis study highlights the current research landscape concerning sorafenib resistance, facilitating the identification of emerging trends and research gaps. Future research priorities should include biomarker-driven clinical trials, the development of nanoparticle delivery systems, and the clinical translation of combination therapy strategies. Additionally, the integration of deep learning algorithms in the context of big data has the potential to enhance our understanding of resistance mechanisms in silico, ultimately aiming to overcome resistance challenges and improve patient survival outcomes. |
| format | Article |
| id | doaj-art-0ea8709ea3424d5d933d73ca7fc78971 |
| institution | Kabale University |
| issn | 1663-9812 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj-art-0ea8709ea3424d5d933d73ca7fc789712025-08-20T03:25:29ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-07-011610.3389/fphar.2025.15818201581820Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigationQiong ZhouRui WangBackgroundSorafenib, a multi-kinase inhibitor, is a key therapeutic agent in the treatment of advanced hepatocellular carcinoma (HCC), metastatic renal cell carcinoma (RCC), and radioactive iodine-refractory differentiated thyroid cancer (DTC). However, its clinical efficacy is frequently hampered by the rising prevalence of sorafenib resistance, particularly in HCC. This reality underscores the urgent need for a comprehensive pan-cancer investigation to elucidate the underlying mechanisms of resistance.MethodsWe employed a systematic bibliometric approach utilizing the Web of Science Core Collection to conduct a structured literature search. Performance analysis and visualization were conducted using VOSviewer and CiteSpace. A triphasic screening protocol was implemented to identify publications focused on sorafenib resistance, covering a period from 2006 to 2025.ResultsOur analysis identified 1,484 eligible publications, with a peak of 194 articles published in 2022. The majority of research (79.48%) centered on HCC, with significant contributions from institutions in China and the United States. Co-authorship and keyword network analyses revealed a robust interdisciplinary collaboration landscape. Key themes emerged, including dysregulation of drug transporters and clearance mechanisms, metabolic reprogramming, programmed cell death, interactions within the tumor microenvironment, and epigenetic regulatory mechanisms, highlighting critical areas contributing to resistance.ConclusionThis study highlights the current research landscape concerning sorafenib resistance, facilitating the identification of emerging trends and research gaps. Future research priorities should include biomarker-driven clinical trials, the development of nanoparticle delivery systems, and the clinical translation of combination therapy strategies. Additionally, the integration of deep learning algorithms in the context of big data has the potential to enhance our understanding of resistance mechanisms in silico, ultimately aiming to overcome resistance challenges and improve patient survival outcomes.https://www.frontiersin.org/articles/10.3389/fphar.2025.1581820/fullsorafenib resistancebibliometricspan-cancerknowledge networktargeted therapy |
| spellingShingle | Qiong Zhou Rui Wang Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation Frontiers in Pharmacology sorafenib resistance bibliometrics pan-cancer knowledge network targeted therapy |
| title | Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation |
| title_full | Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation |
| title_fullStr | Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation |
| title_full_unstemmed | Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation |
| title_short | Emerging trends and knowledge networks in pan-cancer sorafenib resistance: a 20-year bibliometric investigation |
| title_sort | emerging trends and knowledge networks in pan cancer sorafenib resistance a 20 year bibliometric investigation |
| topic | sorafenib resistance bibliometrics pan-cancer knowledge network targeted therapy |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2025.1581820/full |
| work_keys_str_mv | AT qiongzhou emergingtrendsandknowledgenetworksinpancancersorafenibresistancea20yearbibliometricinvestigation AT ruiwang emergingtrendsandknowledgenetworksinpancancersorafenibresistancea20yearbibliometricinvestigation |