Evidence map›Paper›PMID 28716107›Full record

ArticleRadiation oncology (London, England)2017

Biomarkers of resistance to radiation therapy: a prospective study in cervical carcinoma.

P Moreno-Acosta, A Vallard, S Carrillo, O Gamboa, A Romero-Rojas, M Molano, J Acosta, D Mayorga, C Rancoule, M A Garcia and 2 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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  19. An overview of radiation-induced heart disease.Radiation oncology journal · 2022
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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

12 authors at 4 institutions in 3 countries.

P Moreno-AcostaResearch Group in Radiobiology Clinical, Molecular and Cellular, National Cancer Institute, Bogotá, Colombia.
A VallardDepartment of Radiation Oncology, Institut de cancérologie de la Loire-Lucien Neuwirth, 108 bis, Avenue Albert Raimond, BP 60008, 42271, Saint-Priest en Jarez, France. alexis.vallard@icloire.fr.
S CarrilloResearch Group in Radiobiology Clinical, Molecular and Cellular, National Cancer Institute, Bogotá, Colombia.
O GamboaResearch Group in Cancer Biology, National Cancer Institute, Bogotá, Colombia.
A Romero-RojasGroup of Pathology Oncology, National Cancer Institute, Bogotá, Colombia.
M MolanoMicrobiology and Infection Diseases, The Royal Women's Hospital, Melbourne, Australia.
J AcostaPathology Group, National University of Colombia, Bogotá, Colombia.
D MayorgaResearch Group in Cancer Biology, National Cancer Institute, Bogotá, Colombia.
C RancouleDepartment of Radiation Oncology, Institut de cancérologie de la Loire-Lucien Neuwirth, 108 bis, Avenue Albert Raimond, BP 60008, 42271, Saint-Priest en Jarez, France.
M A GarciaDepartment of Radiation Oncology, Institut de cancérologie de la Loire-Lucien Neuwirth, 108 bis, Avenue Albert Raimond, BP 60008, 42271, Saint-Priest en Jarez, France.
M Cotes MestreResearch Group in Cancer Biology, National Cancer Institute, Bogotá, Colombia.
N MagnéDepartment of Radiation Oncology, Institut de cancérologie de la Loire-Lucien Neuwirth, 108 bis, Avenue Albert Raimond, BP 60008, 42271, Saint-Priest en Jarez, France.
Instituto Nacional de Cancerología · COInstitute Cancer De La Loire Lucien Neuwirth · FRRoyal Women's Hospital · AUUniversidad Nacional de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical parameters and proteins have recently been suggested as possible causes of radiotherapy (RT) resistance in cervical carcinoma (CC). The objective of the present study was to validate prognostic biomarkers of radiation resistance.

methodsThe present prospective study included patients undergoing RT with curative intent for histologically proven locally advanced squamous cell CC. Tissues and blood samples were systematically collected before RT initiation. Immuno-histochemistry was performed (IGF-IR α and β, GAPDH, HIF-1 alpha, Survivin, GLUT1, CAIX, hTERT and HKII). Response to radiation was assessed through tumour response 3 months after RT completion, through overall survival (OS) and through progression-free survival (PFS).

resultsOne hundred forty nine patients with a mean age of 46 years were included, with FIGO IIB (n = 53) and FIGO IIIB (n = 96) CCs. 61 patients were treated with exclusive RT + brachytherapy and 88 underwent chemo-radiotherapy + brachytherapy. Our findings suggest an association between hemoglobin level (Hb) (>11 g/dL) and 3 months complete response (p = 0.02). Hb level < 11 g/dL was associated with decreased PFS (p = 0.05) and OS (p = 0.08). Overexpression of IGF-1R β was correlated with a decreased OS (p = 0.007). Overexpression of GLUT1 was marginally correlated with reduced OS (p = 0.05). PFS and OS were significantly improved in patients undergoing chemoradiation versus exclusive radiotherapy (PFS: p = 0.04; OS: p = 0.01).

conclusionsIGF-1R β overexpression and Hb level (≤11 g/dl) were associated with poor prognosis, and thus appear to be possible interesting biomarkers of radiation resistance. Our results corroborate previous pre-clinical studies suggesting IGF-1R and hypoxia to be part of the biological pathways leading to radio-resistance.

Indexed as

AdultBiomarkers, TumorCarcinoma, Squamous CellDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMiddle AgedProportional Hazards ModelsProspective StudiesRadiation ToleranceRadiotherapyUterine Cervical NeoplasmsBiomarkers, TumorBiomarkersCervical CarcinomaIGF-1RRadiation TherapyRadioresistance

Identifiers

PMID28716107
PMCPMC5514482
OpenAlexW2734610871

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.