Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues

BackgroundPartial epithelial-mesenchymal transition (p-EMT) is a distinct clinicopathological feature prevalent in oral cavity tumors of The Cancer Genome Atlas. Located at the invasion front, p-EMT cells require additional support from the tumor stroma for collective cell migration, including track...

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Autores principales: Yi-Hong Liu, Yu-Lian Chen, Ting-Yu Lai, Ying-Chieh Ko, Yu-Fu Chou, Peir-Rong Chen, Jenn-Ren Hsiao, Jang-Yang Chang, Shine-Gwo Shiah, Jeng-Woei Lee, Jia-Ling Yang, Su-Fang Lin
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:c5c66b95121f48e0859d1730794ad5c42021-11-16T07:48:06ZIdentification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues2234-943X10.3389/fonc.2021.769665https://doaj.org/article/c5c66b95121f48e0859d1730794ad5c42021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.769665/fullhttps://doaj.org/toc/2234-943XBackgroundPartial epithelial-mesenchymal transition (p-EMT) is a distinct clinicopathological feature prevalent in oral cavity tumors of The Cancer Genome Atlas. Located at the invasion front, p-EMT cells require additional support from the tumor stroma for collective cell migration, including track clearing, extracellular matrix remodeling and immune evasion. The pathological roles of otherwise nonmalignant cancer-associated fibroblasts (CAFs) in cancer progression are emerging.MethodsGene set enrichment analysis was used to reveal differentially enriched genes and molecular pathways in OC3 and TW2.6 xenograft tissues, representing mesenchymal and p-EMT tumors, respectively. R packages of genomic data science were executed for statistical evaluations and data visualization. Immunohistochemistry and Alcian blue staining were conducted to validate the bioinformatic results. Univariate and multivariate Cox proportional hazards models were performed to identify covariates significantly associated with overall survival in clinical datasets. Kaplan–Meier curves of estimated overall survival were compared for statistical difference using the log-rank test.ResultsCompared to mesenchymal OC3 cells, tumor stroma derived from p-EMT TW2.6 cells was significantly enriched in microvessel density, tumor-excluded macrophages, inflammatory CAFs, and extracellular hyaluronan deposition. By translating these results to clinical transcriptomic datasets of oral cancer specimens, including the Puram single-cell RNA-seq cohort comprising ~6000 cells, we identified the expression of stromal TGFBI and HYAL1 as independent poor and protective biomarkers, respectively, for 40 Taiwanese oral cancer tissues that were all derived from betel quid users. In The Cancer Genome Atlas, TGFBI was a poor marker not only for head and neck cancer but also for additional six cancer types and HYAL1 was a good indicator for four tumor cohorts, suggesting common stromal effects existing in different cancer types.ConclusionsAs the tumor stroma coevolves with cancer progression, the cellular origins of molecular markers identified from conventional whole tissue mRNA-based analyses should be cautiously interpreted. By incorporating disease-matched xenograft tissue and single-cell RNA-seq results, we suggested that TGFBI and HYAL1, primarily expressed by stromal CAFs and endothelial cells, respectively, could serve as robust prognostic biomarkers for oral cancer control.Yi-Hong LiuYi-Hong LiuYu-Lian ChenTing-Yu LaiTing-Yu LaiYing-Chieh KoYu-Fu ChouPeir-Rong ChenJenn-Ren HsiaoJang-Yang ChangJang-Yang ChangShine-Gwo ShiahJeng-Woei LeeJia-Ling YangSu-Fang LinFrontiers Media S.A.articleprognostic biomarkersoral cancerpartial epithelial-mesenchymal transition (p-EMT)tumor stromamyofibroblastic CAF (myCAF)inflammatory CAF (iCAF)Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic prognostic biomarkers
oral cancer
partial epithelial-mesenchymal transition (p-EMT)
tumor stroma
myofibroblastic CAF (myCAF)
inflammatory CAF (iCAF)
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle prognostic biomarkers
oral cancer
partial epithelial-mesenchymal transition (p-EMT)
tumor stroma
myofibroblastic CAF (myCAF)
inflammatory CAF (iCAF)
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Yi-Hong Liu
Yi-Hong Liu
Yu-Lian Chen
Ting-Yu Lai
Ting-Yu Lai
Ying-Chieh Ko
Yu-Fu Chou
Peir-Rong Chen
Jenn-Ren Hsiao
Jang-Yang Chang
Jang-Yang Chang
Shine-Gwo Shiah
Jeng-Woei Lee
Jia-Ling Yang
Su-Fang Lin
Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
description BackgroundPartial epithelial-mesenchymal transition (p-EMT) is a distinct clinicopathological feature prevalent in oral cavity tumors of The Cancer Genome Atlas. Located at the invasion front, p-EMT cells require additional support from the tumor stroma for collective cell migration, including track clearing, extracellular matrix remodeling and immune evasion. The pathological roles of otherwise nonmalignant cancer-associated fibroblasts (CAFs) in cancer progression are emerging.MethodsGene set enrichment analysis was used to reveal differentially enriched genes and molecular pathways in OC3 and TW2.6 xenograft tissues, representing mesenchymal and p-EMT tumors, respectively. R packages of genomic data science were executed for statistical evaluations and data visualization. Immunohistochemistry and Alcian blue staining were conducted to validate the bioinformatic results. Univariate and multivariate Cox proportional hazards models were performed to identify covariates significantly associated with overall survival in clinical datasets. Kaplan–Meier curves of estimated overall survival were compared for statistical difference using the log-rank test.ResultsCompared to mesenchymal OC3 cells, tumor stroma derived from p-EMT TW2.6 cells was significantly enriched in microvessel density, tumor-excluded macrophages, inflammatory CAFs, and extracellular hyaluronan deposition. By translating these results to clinical transcriptomic datasets of oral cancer specimens, including the Puram single-cell RNA-seq cohort comprising ~6000 cells, we identified the expression of stromal TGFBI and HYAL1 as independent poor and protective biomarkers, respectively, for 40 Taiwanese oral cancer tissues that were all derived from betel quid users. In The Cancer Genome Atlas, TGFBI was a poor marker not only for head and neck cancer but also for additional six cancer types and HYAL1 was a good indicator for four tumor cohorts, suggesting common stromal effects existing in different cancer types.ConclusionsAs the tumor stroma coevolves with cancer progression, the cellular origins of molecular markers identified from conventional whole tissue mRNA-based analyses should be cautiously interpreted. By incorporating disease-matched xenograft tissue and single-cell RNA-seq results, we suggested that TGFBI and HYAL1, primarily expressed by stromal CAFs and endothelial cells, respectively, could serve as robust prognostic biomarkers for oral cancer control.
format article
author Yi-Hong Liu
Yi-Hong Liu
Yu-Lian Chen
Ting-Yu Lai
Ting-Yu Lai
Ying-Chieh Ko
Yu-Fu Chou
Peir-Rong Chen
Jenn-Ren Hsiao
Jang-Yang Chang
Jang-Yang Chang
Shine-Gwo Shiah
Jeng-Woei Lee
Jia-Ling Yang
Su-Fang Lin
author_facet Yi-Hong Liu
Yi-Hong Liu
Yu-Lian Chen
Ting-Yu Lai
Ting-Yu Lai
Ying-Chieh Ko
Yu-Fu Chou
Peir-Rong Chen
Jenn-Ren Hsiao
Jang-Yang Chang
Jang-Yang Chang
Shine-Gwo Shiah
Jeng-Woei Lee
Jia-Ling Yang
Su-Fang Lin
author_sort Yi-Hong Liu
title Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
title_short Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
title_full Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
title_fullStr Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
title_full_unstemmed Identification of Prognostic Biomarkers Originating From the Tumor Stroma of Betel Quid-Associated Oral Cancer Tissues
title_sort identification of prognostic biomarkers originating from the tumor stroma of betel quid-associated oral cancer tissues
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/c5c66b95121f48e0859d1730794ad5c4
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