Evidence map›Paper›PMID 32722546›Full record

ReviewJournal of personalized medicine2020

Markers Useful in Monitoring Radiation-Induced Lung Injury in Lung Cancer Patients: A Review.

Mariola Śliwińska-Mossoń, Katarzyna Wadowska, Łukasz Trembecki, Iwona Bil-Lula

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Effects of Fractionated Low Dose Ionizing Radiation on Cellular Senescence in Mouse Lung Tissue.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Radiation Biomarkers: Silver Bullet, or Wild Goose Chase?Journal of personalized medicine · 2021
    Article
  11. 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

4 authors at 1 institution in 1 country.

Mariola Śliwińska-MossońDepartment of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland.ORCID 0000-0001-6565-1013
Katarzyna WadowskaDepartment of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland.ORCID 0000-0003-2077-8015
Łukasz TrembeckiDepartment of Radiation Oncology, Lower Silesian Oncology Center, pl. Hirszfelda 12, 53-413 Wroclaw, Poland.
Iwona Bil-LulaDepartment of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, ul. Borowska 211A, 50-556 Wroclaw, Poland.ORCID 0000-0002-2769-0166
Wroclaw Medical University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2018, lung cancer was the most common cancer and the most common cause of cancer death, accounting for a 1.76 million deaths. Radiotherapy (RT) is a widely used and effective non-surgical cancer treatment that induces remission in, and even cures, patients with lung cancer. However, RT faces some restrictions linked to the radioresistance and treatment toxicity, manifesting in radiation-induced lung injury (RILI). About 30-40% of lung cancer patients will develop RILI, which next to the local recurrence and distant metastasis is a substantial challenge to the successful management of lung cancer treatment. These data indicate an urgent need of looking for novel, precise biomarkers of individual response and risk of side effects in the course of RT. The aim of this review was to summarize both preclinical and clinical approaches in RILI monitoring that could be brought into clinical practice. Next to transforming growth factor-β1 (TGFβ1) that was reported as one of the most important growth factors expressed in the tissues after ionizing radiation (IR), there is a group of novel, potential biomarkers-microRNAs-that may be used as predictive biomarkers in therapy response and disease prognosis.

Indexed as

circulating biomarkerslung cancermicroRNApneumonitisradiation-induced lung fibrosisradiation-induced lung injuryradiotherapyradiotherapy monitoringRILFRILI

Identifiers

PMID32722546
PMCPMC7565537
OpenAlexW3044825556

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.