Evidence map›Paper›PMID 28504589›Full record

ArticleRadiation research2017

Analysis of Saliva Gene Expression during Head and Neck Cancer Radiotherapy: A Pilot Study.

Jerome Lacombe, Carla Brooks, Chengcheng Hu, Emmanuel Menashi, Ronald Korn, Farley Yang, Frederic Zenhausern

Abstract readCase Reports
In one paragraph

Article in Radiation research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  5. Transcriptomics for radiation biodosimetry: progress and challenges.International journal of radiation biology · 2023
    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

7 authors at 2 institutions in 1 country.

Jerome Lacombea   Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226.
Carla Brooksa   Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226.
Chengcheng Hub   Center for Applied NanoBioscience and Medicine, University of Arizona, Phoenix, Arizona 85004.
Emmanuel Menashic   Honor Health Research Institute, Scottsdale, Arizona 85258.
Ronald Kornc   Honor Health Research Institute, Scottsdale, Arizona 85258.
Farley Yangc   Honor Health Research Institute, Scottsdale, Arizona 85258.
Frederic Zenhauserna   Center for Applied NanoBioscience and Medicine, University of Arizona, Chandler, Arizona 85226.
University of Arizona · USHonorHealth · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
Sample Engineering CoreU19AI067773 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI FORNACE, ALBERT J · 2005 to 2024
$105.4M
NCI NIH HHS P30 CA023074NIAID NIH HHS U19 AI067773
6 · The paper itself

Abstract

Saliva, a biological fluid, is a promising candidate for novel approaches to prognosis, clinical diagnosis, monitoring and management of patients with both oral and systemic diseases. However, to date, saliva has not been widely investigated as a biomarker for radiation exposure. Since white blood cells are also present in saliva, it should theoretically be possible to investigate the transcriptional biomarkers of radiation exposure classically studied in whole blood. Therefore, we collected whole blood and saliva samples from eight head and neck cancer patients before the start of radiation treatment, at mid-treatment and after treatment. We then used a panel of five genes: BAX, BBC3, CDKN1A, DDB2 and MDM2, designated for assessing radiation dose in whole blood to evaluate gene expression changes that can occur during radiotherapy. The results revealed that the expression of the five genes did not change in whole blood. However, in saliva, CDKN1A and DDB2 were significantly overexpressed at the end, compared to the start, of radiotherapy, and MDM2 was significantly underexpressed between mid-treatment and at the end of treatment. Interestingly, CDKN1A and DDB2 expressions also showed an increasing monotonic relationship with total radiation dose received during radiotherapy. To our knowledge, these results show for the first time the ability to detect gene expression changes in saliva after head and neck cancer radiotherapy, and pave the way for further promising studies validating saliva as a minimally invasive means of biofluid collection to directly measure radiation dose escalation during treatment.

Indexed as

AgedBiological AssayBiomarkersBiomarkers, TumorCarcinoma, Squamous CellDose-Response Relationship, RadiationFemaleGene Expression RegulationHead and Neck NeoplasmsHumansMaleMiddle AgedPilot ProjectsRadiation MonitoringRadiotherapy DosageReproducibility of ResultsBiomarkersBiomarkers, Tumor

Identifiers

PMID28504589
PMCPMC5552048
OpenAlexW2614740282

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.