Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation

Tumor repopulation during cycles of radiotherapy limits the radio-response in ensuing cycles and causes failure of treatment. It is thus of vital importance to unveil the mechanisms underlying tumor repopulating cells. Increasing evidence suggests that a subpopulation of drug-tolerant persister canc...

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Main Authors: Yucui Zhao, Yanwei Song, Ruyi Zhao, Minghui Zhao, Qian Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.607727/full
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spelling doaj-1ec98b719f2349c7bb9de226dcf38e4a2020-11-25T04:11:07ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-11-011010.3389/fonc.2020.607727607727Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After RadiationYucui ZhaoYanwei SongRuyi ZhaoMinghui ZhaoQian HuangTumor repopulation during cycles of radiotherapy limits the radio-response in ensuing cycles and causes failure of treatment. It is thus of vital importance to unveil the mechanisms underlying tumor repopulating cells. Increasing evidence suggests that a subpopulation of drug-tolerant persister cancer cells (DTPs) could survive the cytotoxic treatment and resume to propagate. Whether these persister cells contribute to development of radio-resistance remains elusive. Based on the genetic profiling of DTPs by integrating datasets from Gene Expression Omnibus database, this study aimed to provide novel insights into tumor-repopulation mediated radio-resistance and identify predictive biomarkers for radio-response in clinic. A prognostic risk index, grounded on four persister genes (LYNX1, SYNPO, GADD45B, and PDLIM1), was constructed in non-small-cell lung cancer patients from The Cancer Genome Atlas Program (TCGA) using stepwise Cox regression analysis. Weighted gene co-expression network analysis further confirmed the interaction among persister-gene based risk score, radio-response and overall survival time. In addition, the predictive role of risk index was validated in vitro and in other types of TCGA patients. Gene set enrichment analysis was performed to decipher the possible biological signaling, which indicated that two forces behind persister cells, stress response and survival adaptation, might fuel the tumor repopulation after radiation. Targeting these persister cells may represent a new prognostic and therapeutic approach to enhance radio-response and prevent radio-resistance induced by tumor repopulation.https://www.frontiersin.org/articles/10.3389/fonc.2020.607727/fulltreatment responsepersister cellstumor repopulationradiotherapyprognostic index
collection DOAJ
language English
format Article
sources DOAJ
author Yucui Zhao
Yanwei Song
Ruyi Zhao
Minghui Zhao
Qian Huang
spellingShingle Yucui Zhao
Yanwei Song
Ruyi Zhao
Minghui Zhao
Qian Huang
Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
Frontiers in Oncology
treatment response
persister cells
tumor repopulation
radiotherapy
prognostic index
author_facet Yucui Zhao
Yanwei Song
Ruyi Zhao
Minghui Zhao
Qian Huang
author_sort Yucui Zhao
title Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
title_short Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
title_full Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
title_fullStr Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
title_full_unstemmed Gene Panel of Persister Cells as a Prognostic Indicator for Tumor Repopulation After Radiation
title_sort gene panel of persister cells as a prognostic indicator for tumor repopulation after radiation
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2020-11-01
description Tumor repopulation during cycles of radiotherapy limits the radio-response in ensuing cycles and causes failure of treatment. It is thus of vital importance to unveil the mechanisms underlying tumor repopulating cells. Increasing evidence suggests that a subpopulation of drug-tolerant persister cancer cells (DTPs) could survive the cytotoxic treatment and resume to propagate. Whether these persister cells contribute to development of radio-resistance remains elusive. Based on the genetic profiling of DTPs by integrating datasets from Gene Expression Omnibus database, this study aimed to provide novel insights into tumor-repopulation mediated radio-resistance and identify predictive biomarkers for radio-response in clinic. A prognostic risk index, grounded on four persister genes (LYNX1, SYNPO, GADD45B, and PDLIM1), was constructed in non-small-cell lung cancer patients from The Cancer Genome Atlas Program (TCGA) using stepwise Cox regression analysis. Weighted gene co-expression network analysis further confirmed the interaction among persister-gene based risk score, radio-response and overall survival time. In addition, the predictive role of risk index was validated in vitro and in other types of TCGA patients. Gene set enrichment analysis was performed to decipher the possible biological signaling, which indicated that two forces behind persister cells, stress response and survival adaptation, might fuel the tumor repopulation after radiation. Targeting these persister cells may represent a new prognostic and therapeutic approach to enhance radio-response and prevent radio-resistance induced by tumor repopulation.
topic treatment response
persister cells
tumor repopulation
radiotherapy
prognostic index
url https://www.frontiersin.org/articles/10.3389/fonc.2020.607727/full
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