Evidence map›Paper›PMID 34078917›Full record

ArticleNPJ genomic medicine2021

Radiosensitivity index emerges as a potential biomarker for combined radiotherapy and immunotherapy.

Yang-Hong Dai, Ying-Fu Wang, Po-Chien Shen, Cheng-Hsiang Lo, Jen-Fu Yang, Chun-Shu Lin, Hsing-Lung Chao, Wen-Yen Huang

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Radiotherapy for Merkel cell carcinoma: recommendations from the DEGRO Dermatooncology Working Group.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
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  7. HPV-driven cancer: from epidemiology to the HPV-driven tumor board proposal, everything you wanted to know but were afraid to ask.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
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  15. Heterogeneity in precision oncology.Cambridge prisms. Precision medicine · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yang-Hong DaiDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-8054-0944
Ying-Fu WangDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Po-Chien ShenDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Cheng-Hsiang LoDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Jen-Fu YangDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Chun-Shu LinDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Hsing-Lung ChaoDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Wen-Yen HuangDepartment of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan. hwyyi@yahoo.com.tw.ORCID http://orcid.org/0000-0002-8354-3320
Tri-Service General Hospital · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of immunotherapy, there lacks of a reliable genomic predictor to identify optimal patient populations in combined radiotherapy and immunotherapy (CRI). The purpose of this study is to investigate whether genomic scores defining radiosensitivity are associated with immune response. Genomic data from Merged Microarray-Acquired dataset (MMD) were established and the Cancer Genome Atlas (TCGA) were obtained. Based on rank-based regression model including 10 genes, radiosensitivity index (RSI) was calculated. A total of 12832 primary tumours across 11 major cancer types were analysed for the association with DNA repair, cellular stemness, macrophage polarisation, and immune subtypes. Additional 585 metastatic tissues were extracted from MET500. RSI was stratified into RSI-Low and RSI-High by a cutpoint of 0.46. Proteomic differential analysis was used to identify significant proteins according to RSI categories. Gene Set Variance Analysis (GSVA) was applied to measure the genomic pathway activity (18 genes for T-cell inflamed activity). Kaplan-Meier analysis was performed for survival analysis. RSI was significantly associated with homologous DNA repair, cancer stemness and immune-related molecular features. Lower RSI was associated with higher fraction of M1 macrophage. Differential proteomic analysis identified significantly higher TAP2 expression in RSI-Low colorectal tumours. In the TCGA cohort, dominant interferon-γ (IFN-γ) response was characterised by low RSI and predicted better response to programmed cell death 1 (PD-1) blockade. In conclusion, in addition to radiation response, our study identified RSI to be associated with various immune-related features and predicted response to PD-1 blockade, thus, highlighting its potential as a candidate biomarker for CRI.

Identifiers

PMID34078917
PMCPMC8172905
OpenAlexW3165414187

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.