Immune Signature-Based Subtypes of Cervical Squamous Cell Carcinoma Tightly Associated with Human Papillomavirus Type 16 Expression, Molecular Features, and Clinical Outcome
Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and...
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| Published in: | Neoplasia (New York, N.Y.) Vol. 21; no. 6; pp. 591 - 601 |
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| Main Authors: | , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
Elsevier Inc
01.06.2019
Elsevier |
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| ISSN: | 1476-5586, 1476-5586 |
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| Abstract | Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and HPV oncoprotein expression. We filtered out 138 CSCC samples with infection of HPV16 only as the first step; then we compressed HPV16 E6/E7 expression as HPVpca and correlated HPVpca with the immunological profiling of CSCC based on supervised clustering to discover subtypes and to characterize the differences between subgroups in terms of the HPVpca level, pathway activity, epigenetic dysregulation, somatic mutation frequencies, and likelihood of responding to chemo/immunotherapies. Supervised clustering of immune signatures revealed two HPV16 subtypes (namely, HPV16-IMM and HPV16-KRT) that correlated with HPVpca and clinical outcomes. HPV16-KRT is characterized by elevated expression of genes in keratinization, biological oxidation, and Wnt signaling, whereas HPV16-IMM has a strong immune response and mesenchymal features. HPV16-IMM exhibited much more epigenetic silencing and significant mutation at FBXW7, while MUC4 and PIK3CA were mutated frequently for HPV16-KRT. We also imputed that HPV16-IMM is much more sensitive to chemo/immunotherapy than is HPV16-KRT. Our characterization tightly links the expression of HPV16 E6/E7 with biological and clinical outcomes of CSCC, providing valuable molecular-level information that points to decoding heterogeneity. Together, these results shed light on stratifications of CSCC infected by HPV16 and shall help to guide personalized management and treatment of patients. |
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| AbstractList | Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and HPV oncoprotein expression. We filtered out 138 CSCC samples with infection of HPV16 only as the first step; then we compressed HPV16 E6/E7 expression as HPVpca and correlated HPVpca with the immunological profiling of CSCC based on supervised clustering to discover subtypes and to characterize the differences between subgroups in terms of the HPVpca level, pathway activity, epigenetic dysregulation, somatic mutation frequencies, and likelihood of responding to chemo/immunotherapies. Supervised clustering of immune signatures revealed two HPV16 subtypes (namely, HPV16-IMM and HPV16-KRT) that correlated with HPVpca and clinical outcomes. HPV16-KRT is characterized by elevated expression of genes in keratinization, biological oxidation, and Wnt signaling, whereas HPV16-IMM has a strong immune response and mesenchymal features. HPV16-IMM exhibited much more epigenetic silencing and significant mutation at FBXW7, while MUC4 and PIK3CA were mutated frequently for HPV16-KRT. We also imputed that HPV16-IMM is much more sensitive to chemo/immunotherapy than is HPV16-KRT. Our characterization tightly links the expression of HPV16 E6/E7 with biological and clinical outcomes of CSCC, providing valuable molecular-level information that points to decoding heterogeneity. Together, these results shed light on stratifications of CSCC infected by HPV16 and shall help to guide personalized management and treatment of patients. Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and HPV oncoprotein expression. We filtered out 138 CSCC samples with infection of HPV16 only as the first step; then we compressed HPV16 E6/E7 expression as HPVpca and correlated HPVpca with the immunological profiling of CSCC based on supervised clustering to discover subtypes and to characterize the differences between subgroups in terms of the HPVpca level, pathway activity, epigenetic dysregulation, somatic mutation frequencies, and likelihood of responding to chemo/immunotherapies. Supervised clustering of immune signatures revealed two HPV16 subtypes (namely, HPV16-IMM and HPV16-KRT) that correlated with HPVpca and clinical outcomes. HPV16-KRT is characterized by elevated expression of genes in keratinization, biological oxidation, and Wnt signaling, whereas HPV16-IMM has a strong immune response and mesenchymal features. HPV16-IMM exhibited much more epigenetic silencing and significant mutation at FBXW7, while MUC4 and PIK3CA were mutated frequently for HPV16-KRT. We also imputed that HPV16-IMM is much more sensitive to chemo/immunotherapy than is HPV16-KRT. Our characterization tightly links the expression of HPV16 E6/E7 with biological and clinical outcomes of CSCC, providing valuable molecular-level information that points to decoding heterogeneity. Together, these results shed light on stratifications of CSCC infected by HPV16 and shall help to guide personalized management and treatment of patients.Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and HPV oncoprotein expression. We filtered out 138 CSCC samples with infection of HPV16 only as the first step; then we compressed HPV16 E6/E7 expression as HPVpca and correlated HPVpca with the immunological profiling of CSCC based on supervised clustering to discover subtypes and to characterize the differences between subgroups in terms of the HPVpca level, pathway activity, epigenetic dysregulation, somatic mutation frequencies, and likelihood of responding to chemo/immunotherapies. Supervised clustering of immune signatures revealed two HPV16 subtypes (namely, HPV16-IMM and HPV16-KRT) that correlated with HPVpca and clinical outcomes. HPV16-KRT is characterized by elevated expression of genes in keratinization, biological oxidation, and Wnt signaling, whereas HPV16-IMM has a strong immune response and mesenchymal features. HPV16-IMM exhibited much more epigenetic silencing and significant mutation at FBXW7, while MUC4 and PIK3CA were mutated frequently for HPV16-KRT. We also imputed that HPV16-IMM is much more sensitive to chemo/immunotherapy than is HPV16-KRT. Our characterization tightly links the expression of HPV16 E6/E7 with biological and clinical outcomes of CSCC, providing valuable molecular-level information that points to decoding heterogeneity. Together, these results shed light on stratifications of CSCC infected by HPV16 and shall help to guide personalized management and treatment of patients. Substantial heterogeneity exists within cervical cancer that is generally infected by human papillomavirus (HPV). However, the most common histological subtype of cervical cancer, cervical squamous cell carcinoma (CSCC), is poorly characterized regarding the association between its heterogeneity and HPV oncoprotein expression. We filtered out 138 CSCC samples with infection of HPV16 only as the first step; then we compressed HPV16 E6/E7 expression as HPV and correlated HPV with the immunological profiling of CSCC based on supervised clustering to discover subtypes and to characterize the differences between subgroups in terms of the HPV level, pathway activity, epigenetic dysregulation, somatic mutation frequencies, and likelihood of responding to chemo/immunotherapies. Supervised clustering of immune signatures revealed two HPV16 subtypes (namely, HPV16-IMM and HPV16-KRT) that correlated with HPV and clinical outcomes. HPV16-KRT is characterized by elevated expression of genes in keratinization, biological oxidation, and Wnt signaling, whereas HPV16-IMM has a strong immune response and mesenchymal features. HPV16-IMM exhibited much more epigenetic silencing and significant mutation at FBXW7, while MUC4 and PIK3CA were mutated frequently for HPV16-KRT. We also imputed that HPV16-IMM is much more sensitive to chemo/immunotherapy than is HPV16-KRT. Our characterization tightly links the expression of HPV16 E6/E7 with biological and clinical outcomes of CSCC, providing valuable molecular-level information that points to decoding heterogeneity. Together, these results shed light on stratifications of CSCC infected by HPV16 and shall help to guide personalized management and treatment of patients. |
| Author | Ruan, Xinjia Meng, Xiaowei Hu, Wenjun Yan, Fangrong Zhu, Yue Xu, Zhengbao Lu, Xiaofan Wang, Jiashuo Jiang, Liyun Zhang, Liya Gao, Jun Su, Xiaoping |
| Author_xml | – sequence: 1 givenname: Xiaofan surname: Lu fullname: Lu, Xiaofan organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 2 givenname: Liyun surname: Jiang fullname: Jiang, Liyun organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 3 givenname: Liya surname: Zhang fullname: Zhang, Liya organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 4 givenname: Yue surname: Zhu fullname: Zhu, Yue organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 5 givenname: Wenjun surname: Hu fullname: Hu, Wenjun organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 6 givenname: Jiashuo surname: Wang fullname: Wang, Jiashuo organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 7 givenname: Xinjia surname: Ruan fullname: Ruan, Xinjia organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 8 givenname: Zhengbao surname: Xu fullname: Xu, Zhengbao organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 9 givenname: Xiaowei surname: Meng fullname: Meng, Xiaowei organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 10 givenname: Jun surname: Gao fullname: Gao, Jun organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China – sequence: 11 givenname: Xiaoping surname: Su fullname: Su, Xiaoping email: xsu1@mdanderson.org organization: Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX – sequence: 12 givenname: Fangrong surname: Yan fullname: Yan, Fangrong email: f.r.yan@163.com organization: Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, PR, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31055200$$D View this record in MEDLINE/PubMed |
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patients publication-title: EMBO Mol Med doi: 10.15252/emmm.201404208 – volume: 102 start-page: 15545 year: 2005 ident: 10.1016/j.neo.2019.04.003_bb0130 article-title: Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles publication-title: Proc Natl Acad Sci doi: 10.1073/pnas.0506580102 – volume: 103 start-page: 368 year: 2011 ident: 10.1016/j.neo.2019.04.003_bb0015 article-title: Human papillomavirus testing in the prevention of cervical cancer publication-title: J Natl Cancer Inst doi: 10.1093/jnci/djq562 – volume: 2 start-page: 1195 year: 2007 ident: 10.1016/j.neo.2019.04.003_bb0155 article-title: Subclass mapping: identifying common subtypes in independent disease data sets publication-title: PLoS One doi: 10.1371/journal.pone.0001195 – volume: 39 start-page: 782 year: 2013 ident: 10.1016/j.neo.2019.04.003_bb0150 article-title: Spatiotemporal dynamics of intratumoural immune cells reveal the immune landscape in human cancer publication-title: Immunity doi: 10.1016/j.immuni.2013.10.003 – volume: 16 start-page: 284 year: 2012 ident: 10.1016/j.neo.2019.04.003_bb0125 article-title: clusterProfiler: an R package for comparing biological themes among gene clusters publication-title: OMICS doi: 10.1089/omi.2011.0118 |
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| Title | Immune Signature-Based Subtypes of Cervical Squamous Cell Carcinoma Tightly Associated with Human Papillomavirus Type 16 Expression, Molecular Features, and Clinical Outcome |
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