Evidence map›Paper›PMID 24376993›Full record

ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2011

Investigating micronucleus assay applicability for prediction of normal tissue intrinsic radiosensitivity in gynecological cancer patients.

Elitsa Encheva, Sofia Deleva, Rositsa Hristova, Valeria Hadjidekova, Tatiana Hadjieva

Open access · diamondAbstract read
In one paragraph

Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Micronucleus Assay: The State of Art, and Future Directions.International journal of molecular sciences · 2020
    Review
  4. Article
  5. Article
  6. The incidence of inflammation among patients suffering from cervix cancer with positive beta haemolytic streptococci cultures from genital tract.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
    Article
  7. Dependence of micronuclei assay on the depth of absorbed dose.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
    Article
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

5 authors at 2 institutions in 1 country.

Elitsa EnchevaRadiotherapy Department, University Hospital "Queen Giovanna-ISUL", Sofia, Bulgaria.
Sofia DelevaLaboratory of Radiation Genetics, National Center of Radiobiology and Radiation Protection, Sofia, Bulgaria.
Rositsa HristovaLaboratory of Radiation Genetics, National Center of Radiobiology and Radiation Protection, Sofia, Bulgaria.
Valeria HadjidekovaLaboratory of Radiation Genetics, National Center of Radiobiology and Radiation Protection, Sofia, Bulgaria.
Tatiana HadjievaRadiotherapy Department, University Hospital "Queen Giovanna-ISUL", Sofia, Bulgaria.
National Center of Radiobiology and Radiation Protection · BGQueen Giovanna Hospital · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPelvic organs morbidity after irradiation of cancer patients remains a major problem although new technologies have been developed and implemented. A relatively simple and suitable method for routine clinical practice is needed for preliminary assessment of normal tissue intrinsic radiosensitivity. The micronucleus test (MNT) determines the frequency of the radiation induced micronuclei (MN) in peripheral blood lymphocytes, which could serve as an indicator of intrinsic cell radiosensitivity.

aimTo investigate a possible use of the micronucleus test (MNT) for acute radiation morbidity prediction in gynecological cancer patients. MATERIALS AND

methodsForty gynecological cancer patients received 50 Gy conventional external pelvic irradiation after radical surgery. A four-field "box" technique was applied with 2D planning. The control group included 10 healthy females. Acute normal tissue reactions were graded according to NCI CTCAE v.3.0. From all reaction scores, the highest score named "summarized clinical radiosensitivity" was selected for a statistical analysis. MNT was performed before and after in vitro irradiation with 1.5 Gy. The mean radiation induced frequency of micronuclei per 1000 binucleated cells (MN/1000) and lymphocytes containing micronuclei per 1000 binucleated cells (cells with MN/1000) were evaluated for both patients and controls. AN ARBITRARY CUT OFF VALUE WAS CREATED TO PICK UP A RADIOSENSITIVE INDIVIDUAL: the mean value of spontaneous frequency of cells with MN/1000 ± 2SD, found in the control group.

resultsBoth mean spontaneous frequency of cells with MN/1000 and MN/1000 were registered to be significantly higher in cancer patients compared to the control group (t = 2.46, p = 0.02 and t = 2.51, p = 0.02). No statistical difference was registered when comparing radiation induced MN frequencies between those groups. Eighty percent (32) of patients developed grade 2 summarized clinical radiosensitivity, with great variations in MNT parameters. Only three patients with grade 2 "summarized clinical radiosensitivity" had values of cells with MN/1000 above the chosen radiosensitivity threshold.

conclusionThe present study was not able to confirm in vitro MNT applicability for radiosensitivity prediction in pelvic irradiation.

Indexed as

Micronucleus testNormal tissue radiosensitivityPelvic irradiationPredictive methods

Identifiers

PMID24376993
PMCPMC3863151
OpenAlexW2079006754

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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.