Evidence map›Paper›PMID 26867665›Full record

ArticleMedical molecular morphology2016

Influence of Ku86 and XRCC4 expression in uterine cervical cancer on the response to preoperative radiotherapy.

Yu Takada, Masanori Someya, Yoshihisa Matsumoto, Masaaki Satoh, Kensei Nakata, Masakazu Hori, Masato Saito, Naoki Hirokawa, Kunihiko Tateoka, Mizue Teramoto and 3 more

Abstract read
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In one paragraph

Article in Medical molecular morphology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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, 21 citations in OpenAlex.

  1. Review
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  8. Review
  9. Influence of XRCC4 expression by breast cancer cells on ipsilateral recurrence after breast-conserving therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2019
    Article
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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

13 authors at 3 institutions in 1 country.

Yu TakadaDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Masanori SomeyaDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Yoshihisa MatsumotoTokyo Institute of Technology, Research Laboratory for Nuclear Reactors, Tokyo, Japan.
Masaaki SatohDivision of Clinical Pathology, NTT Sapporo Hospital, Sapporo, Hokkaido, Japan.
Kensei NakataDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Masakazu HoriDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Masato SaitoDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Naoki HirokawaDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Kunihiko TateokaDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan.
Mizue TeramotoDepartment of Obstetrics and Gynecology, School of Medicine, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Tsuyoshi SaitoDepartment of Obstetrics and Gynecology, School of Medicine, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Tadashi HasegawaDepartment of Surgical Pathology, School of Medicine, Sapporo Medical University, Sapporo, Hokkaido, Japan.
Koh-Ichi SakataDepartment of Radiology, School of Medicine, Sapporo Medical University, S1W16, Chuo-Ku, Sapporo, 060-8543, Hokkaido, Japan. sakatako@sapmed.ac.jp.
Sapporo Medical University · JPSapporo National Hospital · JPTokyo Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA double-strand breaks (DSB) are severe damages induced by ionizing radiation. Non-homologous end joining (NHEJ) is a major mechanism for repairing DSB. Immunohistochemical analysis of proteins involved in NHEJ, such as Ku86 and XRCC4 (X-ray repair cross-complementing protein 4) may be useful for predicting tumor radiosensitivity. We examined the relationship between expression of DSB-related proteins in biopsy specimens of uterine cervical cancer and the pathological effect of 40 Gy of preoperative radiotherapy. 119 patients with uterine cervical cancer were treated between 2000 and 2011. Pathological effects of preoperative radiotherapy were classified by examining hysterectomy specimens. Patients with complete response (pCR) had a significantly better overall 5-year survival rate than those without pCR (96.3 vs. 76.9 %, P = 0.02). The pCR rate was significantly higher in patients with low Ku86 and XRCC4 expression than in other patients (47.4 vs. 21.3 %, P = 0.04). Logistic regression analysis also demonstrated that low Ku86 and XRCC4 expression was a significant predictor of pCR (P = 0.03). Patients with high Ku86 and XRCC4 expression had a significantly lower 5-year metastasis-free rate than others (79.3 vs. 93.5 %, P = 0.02). Proteins involved with NHEJ might have an influence on results of radiotherapy for uterine cervical cancer.

Indexed as

Preoperative CareAdultAgedBiopsyCell CountDisease-Free SurvivalDNA-Binding ProteinsDNA End-Joining RepairFemaleHumansKu AutoantigenMiddle AgedNeoplasm MetastasisNeoplasm StagingTreatment OutcomeUterine Cervical NeoplasmsDNA-Binding ProteinsKu AutoantigenXRCC4 protein, humanXRCC5 protein, humanImmunohistochemical stainingKu86RadiotherapyUterine cervical cancerXRCC4

Identifiers

PMID26867665
OpenAlexW2282044485

What OpenQuestion holds

Textmetadata
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.