Evidence map›Paper›PMID 34001187›Full record

ArticleJournal of translational medicine2021

Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma.

Whitney Sumner, Xenia Ray, Leisa Sutton, Daniel Rebibo, Francesco Marincola, Parag Sanghvi, Vitali Moiseenko, Ida Deichaite

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Study of late toxicity biomarkers of locally advanced head and neck cancer patients treated with radiotherapy plus cisplatin or cetuximab points to the relevance of skin macrophages (TOX-TTCC-2015-01).Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  6. 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.

Whitney SumnerDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Xenia RayDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Leisa SuttonMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Daniel RebiboMoores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Francesco MarincolaScience, Refuge Biotechnologies, Menlo Park, CA, USA.
Parag SanghviDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Vitali MoiseenkoDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Ida DeichaiteDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA. ideichaite@ucsd.edu.ORCID 0000-0001-8839-0573
University of California San Diego · USRefuge Biotechnologies (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOptimizing the therapeutic ratio for radiation therapy (RT) in head and neck squamous cell carcinoma (HNSCC) is uniquely challenging owing to high rates of early and late toxicity involving nearby organs at risk. These toxicities have a profound impact on treatment compliance and quality of life. Emerging evidence suggests that RT dose alone cannot fully account for the variable severity of RT-related adverse events (rtAEs) observed in HNSCC patients. Next-generation sequencing has become an increasingly valuable tool with widespread use in the oncology field and is being robustly explored for predicting rtAEs beyond dosimetric data.

methodsPatients who had Foundation Medicine sequencing data and received RT for primary or locally recurrent HNSCC were selected for this study. Early and late toxicity data were collected and reported based on Common Terminology Criteria for Adverse Events version 5.0. Dosimetric parameters were collected for pertinent structures.

resultsA total of HNSCC 37 patients were analyzed in this study. Genetic alterations in BRCA2, ERBB3, NOTCH1 and CCND1 were all associated with higher mean grade of toxicity with BRCA2 alteration implicated in all toxicity parameters evaluated including mucositis, early dysphagia, xerostomia and to a lesser extent, late dysphagia. Interestingly, patients who exhibited alterations in both BRCA2 and ERBB3 experienced a twofold or greater increase in early dysphagia, early xerostomia and late dysphagia compared to ERBB3 alteration alone. Furthermore, several gene alterations were associated with improved toxicity outcomes. Within an RT supersensitive patient subset, alterations were found in TNFAIP3, HNF1A, SPTA1 and CASP8. All of these alterations were not found in the RT insensitive patient subset. We found 17 gene alterations in the RT insensitive patient subset that were not found in the RT supersensitive patient subset.

conclusionDespite consistent RT dosimetric parameters, patients with HNSCC experience heterogeneous patterns of rtAEs. Identifying factors associated with toxicity outcomes offers a new avenue for personalized precision RT therapy and prophylactic management. Here, next-generation sequencing in a population of HNSCC patients correlates several genetic alterations with severity of rtAEs. Further analysis is urgently needed to identify genetic patterns associated with rtAEs in order to reduce harmful outcomes in this challenging population.

Indexed as

Carcinoma, Squamous CellHead and Neck NeoplasmsHumansNeoplasm Recurrence, LocalQuality of LifeSquamous Cell Carcinoma of Head and NeckBRCA2CASP8ERBB3Head and neck squamous cell carcinomaHNF1APredictive biomarkers of radiation toxicityRadiogenomicsRT dosimetric dataSPTA1TNFAIP3

Identifiers

PMID34001187
PMCPMC8130372
OpenAlexW3162841999

What OpenQuestion holds

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LicenceCC BY
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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.