Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management
ABSTRACT Background Esophageal squamous cell carcinoma (ESCC) is a predominant and highly lethal form of esophageal cancer, with a five‐year survival rate below 20%. Despite advancements, most patients are diagnosed at advanced stages, limiting effective treatment options. Multi‐omics integration, e...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-03-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.70730 |
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| author | Yue Du Bianli Gu Linlin Shi Yong She Qi Zhao Shegan Gao |
| author_facet | Yue Du Bianli Gu Linlin Shi Yong She Qi Zhao Shegan Gao |
| author_sort | Yue Du |
| collection | DOAJ |
| description | ABSTRACT Background Esophageal squamous cell carcinoma (ESCC) is a predominant and highly lethal form of esophageal cancer, with a five‐year survival rate below 20%. Despite advancements, most patients are diagnosed at advanced stages, limiting effective treatment options. Multi‐omics integration, encompassing somatic genomic alterations, inherited genetic mutations, transcriptomics, proteomics, metabolomics, and single‐cell sequencing, has enabled the identification of distinct molecular subtypes of ESCC. Method This article systematically reviewed the current status of molecular subtyping of ESCC based on big data, summarized unique subtypes with differing treatment responses and prognostic outcomes. Result Key findings included subtype‐specific genetic mutations, signaling pathway alterations, and metabolomic profiles, which offer novel biomarkers and therapeutic targets. Furthermore, this review discusses the link between molecular subtypes and immunotherapy efficacy, chemotherapy response, and drug development. Conclusion These insights highlight the potential of omics‐based molecular typing to transform ESCC management and facilitate personalized treatment strategies. |
| format | Article |
| id | doaj-art-0024d6eee75b42b4b2f00a447ee163fc |
| institution | OA Journals |
| issn | 2045-7634 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj-art-0024d6eee75b42b4b2f00a447ee163fc2025-08-20T02:05:21ZengWileyCancer Medicine2045-76342025-03-01145n/an/a10.1002/cam4.70730Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer ManagementYue Du0Bianli Gu1Linlin Shi2Yong She3Qi Zhao4Shegan Gao5Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology Cancer Hospital Luoyang Henan ChinaHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology Cancer Hospital Luoyang Henan ChinaHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology Cancer Hospital Luoyang Henan ChinaState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer Sun Yat‐Sen University Cancer Center Guangzhou Guangdong ChinaState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer Sun Yat‐Sen University Cancer Center Guangzhou Guangdong ChinaHenan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology Cancer Hospital Luoyang Henan ChinaABSTRACT Background Esophageal squamous cell carcinoma (ESCC) is a predominant and highly lethal form of esophageal cancer, with a five‐year survival rate below 20%. Despite advancements, most patients are diagnosed at advanced stages, limiting effective treatment options. Multi‐omics integration, encompassing somatic genomic alterations, inherited genetic mutations, transcriptomics, proteomics, metabolomics, and single‐cell sequencing, has enabled the identification of distinct molecular subtypes of ESCC. Method This article systematically reviewed the current status of molecular subtyping of ESCC based on big data, summarized unique subtypes with differing treatment responses and prognostic outcomes. Result Key findings included subtype‐specific genetic mutations, signaling pathway alterations, and metabolomic profiles, which offer novel biomarkers and therapeutic targets. Furthermore, this review discusses the link between molecular subtypes and immunotherapy efficacy, chemotherapy response, and drug development. Conclusion These insights highlight the potential of omics‐based molecular typing to transform ESCC management and facilitate personalized treatment strategies.https://doi.org/10.1002/cam4.70730big dataesophageal squamous cell carcinomamolecular typingprecision treatmentsingle‐cell sequencing |
| spellingShingle | Yue Du Bianli Gu Linlin Shi Yong She Qi Zhao Shegan Gao Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management Cancer Medicine big data esophageal squamous cell carcinoma molecular typing precision treatment single‐cell sequencing |
| title | Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management |
| title_full | Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management |
| title_fullStr | Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management |
| title_full_unstemmed | Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management |
| title_short | Data‐Driven Molecular Typing: A New Frontier in Esophageal Cancer Management |
| title_sort | data driven molecular typing a new frontier in esophageal cancer management |
| topic | big data esophageal squamous cell carcinoma molecular typing precision treatment single‐cell sequencing |
| url | https://doi.org/10.1002/cam4.70730 |
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