Identification of differentially expressed genes and pathways for risk stratification in HPV-associated cancers governing different anatomical sites
© 2022 The Author(s). Published by IMR Press..
BACKGROUND: Human papillomavirus (HPV) is the major cause of cervical cancer (CC) etiology; its contribution to head and neck cancer (HNC) incidence is steadily increasing. As individual patients' response to the treatment of HPV-associated cancer is variable, there is a pressing need for the identification of biomarkers for risk stratification that can help determine the intensity of treatment.
METHODS: We have previously reported a novel prognostic and predictive indicator (HPPI) scoring system in HPV-associated cancers regardless of anatomical location by analyzing The Cancer Genome Atlas and Gene Expression Omnibus databases. In the present study, we comprehensively investigated the association of group-specific expression patterns of common differentially expressed genes (DEGs) between high- and low-risk groups in HPV-associated CC and HNC, identifying molecular biomarkers and pathways for risk stratification.
RESULTS: Among the 174 identified DEGs, the expression of genes associated with extracellular matrix (ECM)-receptor interaction pathway (ITGA5, ITGB1, LAMB1, and LAMC1) was increased in high-risk groups in both HPV-associated CC and HNC, while the expression of genes associated with T-cell immunity (CD3D, CD3E, CD8B, LCK, and ZAP70) was decreased and vice versa. The individual genes showed significant prognostic impact on HPV-associated cancers but not on HPV-negative cancers. The expression levels of identified genes were similar between HPV-negative and HPV-associated high-risk groups with distinct expression patterns only in HPV-associated low-risk groups. Each group of genes showed negative correlations and distinct patterns of immune cell infiltration in tumor microenvironments.
CONCLUSIONS: These results allowed us to identify molecular biomarkers and pathways for risk stratification in HPV-associated cancers regardless of anatomical location. The identified targets were found to be selectively working in only HPV-associated cancers and not in HPV-negative cancers, indicating the possibility of selective targets governing HPV-infective tumor microenvironments.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:27 |
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Enthalten in: |
Frontiers in bioscience (Landmark edition) - 27(2022), 1 vom: 04. Jan., Seite 2 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Kwon, Eun Jung [VerfasserIn] |
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Links: |
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Themen: |
Cervical cancer |
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Anmerkungen: |
Date Completed 01.04.2022 Date Revised 01.04.2022 published: Print Citation Status MEDLINE |
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doi: |
10.31083/j.fbl2701002 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM336246285 |
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520 | |a © 2022 The Author(s). Published by IMR Press. | ||
520 | |a BACKGROUND: Human papillomavirus (HPV) is the major cause of cervical cancer (CC) etiology; its contribution to head and neck cancer (HNC) incidence is steadily increasing. As individual patients' response to the treatment of HPV-associated cancer is variable, there is a pressing need for the identification of biomarkers for risk stratification that can help determine the intensity of treatment | ||
520 | |a METHODS: We have previously reported a novel prognostic and predictive indicator (HPPI) scoring system in HPV-associated cancers regardless of anatomical location by analyzing The Cancer Genome Atlas and Gene Expression Omnibus databases. In the present study, we comprehensively investigated the association of group-specific expression patterns of common differentially expressed genes (DEGs) between high- and low-risk groups in HPV-associated CC and HNC, identifying molecular biomarkers and pathways for risk stratification | ||
520 | |a RESULTS: Among the 174 identified DEGs, the expression of genes associated with extracellular matrix (ECM)-receptor interaction pathway (ITGA5, ITGB1, LAMB1, and LAMC1) was increased in high-risk groups in both HPV-associated CC and HNC, while the expression of genes associated with T-cell immunity (CD3D, CD3E, CD8B, LCK, and ZAP70) was decreased and vice versa. The individual genes showed significant prognostic impact on HPV-associated cancers but not on HPV-negative cancers. The expression levels of identified genes were similar between HPV-negative and HPV-associated high-risk groups with distinct expression patterns only in HPV-associated low-risk groups. Each group of genes showed negative correlations and distinct patterns of immune cell infiltration in tumor microenvironments | ||
520 | |a CONCLUSIONS: These results allowed us to identify molecular biomarkers and pathways for risk stratification in HPV-associated cancers regardless of anatomical location. The identified targets were found to be selectively working in only HPV-associated cancers and not in HPV-negative cancers, indicating the possibility of selective targets governing HPV-infective tumor microenvironments | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a Cervical cancer | |
650 | 4 | |a Head and neck cancer | |
650 | 4 | |a Human papillomavirus | |
650 | 4 | |a Prognostic biomarker | |
650 | 4 | |a Risk stratification | |
700 | 1 | |a Lee, Hye Ran |e verfasserin |4 aut | |
700 | 1 | |a Lee, Ju Ho |e verfasserin |4 aut | |
700 | 1 | |a Seo, Chorong |e verfasserin |4 aut | |
700 | 1 | |a Ha, Mihyang |e verfasserin |4 aut | |
700 | 1 | |a Roh, Jin |e verfasserin |4 aut | |
700 | 1 | |a Kim, Yun Hak |e verfasserin |4 aut | |
700 | 1 | |a Jang, Jeon Yeob |e verfasserin |4 aut | |
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