Evidence map›Paper›PMID 33178919›Full record

ArticleBJR open2019

Biopsy of palliative lesions following radiotherapy.

Shiro Fujita, Katsuhiro Masago, Yasushi Yatabe

Open access · goldAbstract read
In one paragraph

Article in BJR open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Katsuhiro Masago
Yasushi YatabeDepartment of Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya, Japan.
Aichi Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDefinite radiotherapy and/or chemoradiotherapy is often conducted for the treatment of non-small cell lung cancer. However, there is a potential concern regarding the mutagenic effects on tumor cells derived from the therapies, and genomic information regarding cancer cells that survived definitive radiotherapy/chemoradiotherapy is lacking. To evaluate the mutagenic effect of radiotherapy/chemoradiotherapy, we compared genomic signatures of recurrent non-small cell lung cancer tissue with those of pre-treatment.

methodsWe evaluated seven specimens from three patients who developed disease recurrence after definite radiotherapy/chemoradiotherapy, and we ranked the mutations according to the Combined Annotation-Dependent Depletion score.

resultsSome mutations remained in the post-therapy state, and others, including driver mutations, either newly occurred or disappeared during the course of disease. Of the four specimens obtained in the post-radiation period, 21 variants were detected. Compared with single nucleotide substitution (5, 23.8%), substantial number of deletions (16, 76.2%) was observed in specimens obtained after definite radiotherapy/chemoradiotherapy.

conclusionRadiotherapy/chemoradiotherapy effects on tumor cells have a wide spectrum, and resequencing of a recurrent lesion is always recommended to discuss the best course of therapy for recurrent non-small cell lung cancer after definitive radiotherapy/chemoradiotherapy. ADVANCES IN KNOWLEDGE: With regard to cancer cells that survived definitive radiotherapy/chemoradiotherapy, some mutations remained in the post-therapy state, and others, including driver mutations, either newly occurred or disappeared during the course of disease. Compared with single nucleotide substitution, substantial number of deletions was observed in specimens obtained after definite radiotherapy/chemoradiotherapy.

Identifiers

PMID33178919
PMCPMC7592476
OpenAlexW2919126702

What OpenQuestion holds

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LicenceCC BY-NC
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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.