Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.

There are currently no clinical strategies utilizing tumor gene expression to inform therapeutic selection for patients with head and neck squamous cell carcinoma (HNSCC). One of the challenges in developing predictive biomarkers is the limited characterization of preclinical HNSCC models. Patient-d...

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Main Authors: Rex H Lee, Ritu Roy, Hua Li, Aaron Hechmer, Tian Ran Zhu, Adila Izgutdina, Adam B Olshen, Daniel E Johnson, Jennifer R Grandis
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0282177
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author Rex H Lee
Ritu Roy
Hua Li
Aaron Hechmer
Tian Ran Zhu
Adila Izgutdina
Adam B Olshen
Daniel E Johnson
Jennifer R Grandis
author_facet Rex H Lee
Ritu Roy
Hua Li
Aaron Hechmer
Tian Ran Zhu
Adila Izgutdina
Adam B Olshen
Daniel E Johnson
Jennifer R Grandis
author_sort Rex H Lee
collection DOAJ
description There are currently no clinical strategies utilizing tumor gene expression to inform therapeutic selection for patients with head and neck squamous cell carcinoma (HNSCC). One of the challenges in developing predictive biomarkers is the limited characterization of preclinical HNSCC models. Patient-derived xenografts (PDXs) are increasingly recognized as translationally relevant preclinical avatars for human tumors; however, the overall transcriptomic concordance of HNSCC PDXs with primary human HNSCC is understudied, especially in human papillomavirus-associated (HPV+) disease. Here, we characterized 64 HNSCC PDXs (16 HPV+ and 48 HPV-) at the transcriptomic level using RNA-sequencing. The range of human-specific reads per PDX varied from 64.6%-96.5%, with a comparison of the most differentially expressed genes before and after removal of mouse transcripts revealing no significant benefit to filtering out mouse mRNA reads in this cohort. We demonstrate that four previously established HNSCC molecular subtypes found in The Cancer Genome Atlas (TCGA) are also clearly recapitulated in HNSCC PDXs. Unsupervised hierarchical clustering yielded a striking natural division of HNSCC PDXs by HPV status, with C19orf57 (BRME1), a gene previously correlated with positive response to cisplatin in cervical cancer, among the most significantly differentially expressed genes between HPV+ and HPV- PDXs. In vivo experiments demonstrated a possible relationship between increased C19orf57 expression and superior anti-tumor responses of PDXs to cisplatin, which should be investigated further. These findings highlight the value of PDXs as models for HPV+ and HPV- HNSCC, providing a resource for future discovery of predictive biomarkers to guide treatment selection in HNSCC.
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spelling doaj.art-fa3559997291406bb9588f7dfd366b8e2023-04-21T05:35:19ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183e028217710.1371/journal.pone.0282177Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.Rex H LeeRitu RoyHua LiAaron HechmerTian Ran ZhuAdila IzgutdinaAdam B OlshenDaniel E JohnsonJennifer R GrandisThere are currently no clinical strategies utilizing tumor gene expression to inform therapeutic selection for patients with head and neck squamous cell carcinoma (HNSCC). One of the challenges in developing predictive biomarkers is the limited characterization of preclinical HNSCC models. Patient-derived xenografts (PDXs) are increasingly recognized as translationally relevant preclinical avatars for human tumors; however, the overall transcriptomic concordance of HNSCC PDXs with primary human HNSCC is understudied, especially in human papillomavirus-associated (HPV+) disease. Here, we characterized 64 HNSCC PDXs (16 HPV+ and 48 HPV-) at the transcriptomic level using RNA-sequencing. The range of human-specific reads per PDX varied from 64.6%-96.5%, with a comparison of the most differentially expressed genes before and after removal of mouse transcripts revealing no significant benefit to filtering out mouse mRNA reads in this cohort. We demonstrate that four previously established HNSCC molecular subtypes found in The Cancer Genome Atlas (TCGA) are also clearly recapitulated in HNSCC PDXs. Unsupervised hierarchical clustering yielded a striking natural division of HNSCC PDXs by HPV status, with C19orf57 (BRME1), a gene previously correlated with positive response to cisplatin in cervical cancer, among the most significantly differentially expressed genes between HPV+ and HPV- PDXs. In vivo experiments demonstrated a possible relationship between increased C19orf57 expression and superior anti-tumor responses of PDXs to cisplatin, which should be investigated further. These findings highlight the value of PDXs as models for HPV+ and HPV- HNSCC, providing a resource for future discovery of predictive biomarkers to guide treatment selection in HNSCC.https://doi.org/10.1371/journal.pone.0282177
spellingShingle Rex H Lee
Ritu Roy
Hua Li
Aaron Hechmer
Tian Ran Zhu
Adila Izgutdina
Adam B Olshen
Daniel E Johnson
Jennifer R Grandis
Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
PLoS ONE
title Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
title_full Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
title_fullStr Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
title_full_unstemmed Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
title_short Therapeutic implications of transcriptomics in head and neck cancer patient-derived xenografts.
title_sort therapeutic implications of transcriptomics in head and neck cancer patient derived xenografts
url https://doi.org/10.1371/journal.pone.0282177
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