Evidence map›Paper›PMID 38548113›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2024

Histology-driven hypofractionated radiation therapy schemes for early-stage lung adenocarcinoma and squamous cell carcinoma.

Feng Liu, Michael K Farris, James D Ververs, Ryan T Hughes, Michael T Munley

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In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Feng LiuDepartment of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA. Electronic address: feliu@wakehealth.edu.
Michael K FarrisDepartment of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
James D VerversDepartment of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
Ryan T HughesDepartment of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
Michael T MunleyDepartment of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
Atrium Health Wake Forest Baptist · US

Funding

Wake Forest Clinical and Translational Science AwardKL2TR001421 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, DAVID P · 2015 to 2023
$5.8M
NCATS NIH HHS KL2 TR001421
6 · The paper itself

Abstract

background and purposeHistology was found to be an important prognostic factor for local tumor control probability (TCP) after stereotactic body radiotherapy (SBRT) of early-stage non-small-cell lung cancer (NSCLC). A histology-driven SBRT approach has not been explored in routine clinical practice and histology-dependent fractionation schemes remain unknown. Here, we analyzed pooled histologic TCP data as a function of biologically effective dose (BED) to determine histology-driven fractionation schemes for SBRT and hypofractionated radiotherapy of two predominant early-stage NSCLC histologic subtypes adenocarcinoma (ADC) and squamous cell carcinoma (SCC). MATERIAL AND

methodsThe least-χ

resultsA fit to the histologic TCP data yielded independent radiobiological parameter sets for radiotherapy of early-stage lung ADC and SCC. TCP increases steeply with BED and reaches an asymptotic maximal plateau, allowing us to determine model-independent optimal fractionation schemes of least doses in 1-30 fractions to achieve maximal tumor control for early-stage lung ADC and SCC, e.g., 30, 44, 48, and 51 Gy for ADC, and 32, 48, 54, and 58 Gy for SCC in 1, 3, 4, and 5 fractions, respectively.

conclusionWe presented the first determination of histology-dependent radiobiological parameters and model-independent histology-driven optimal SBRT and hypofractionated radiation therapy schemes for early-stage lung ADC and SCC. SCC requires substantially higher radiation doses to maximize tumor control than ADC, plausibly attributed to tumor genetic diversity and microenvironment. The determined optimal SBRT schemes agree well with clinical practice for early-stage lung ADC. These proposed optimal fractionation schemes provide first insights for histology-based personalized radiotherapy of two predominant early-stage NSCLC subtypes ADC and SCC, which require further validation with large-scale histologic TCP data.

Indexed as

Carcinoma, Squamous CellLung NeoplasmsRadiation Dose HypofractionationAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungDose Fractionation, RadiationFemaleHumansMaleNeoplasm StagingRadiosurgeryBiologically Effective DoseEarly-stage Lung Adenocarcinoma and Squamous Cell CarcinomaStereotactic Body Radiation TherapyThe Hypofractionated Treatment Effects in the Clinic (HyTEC)Tumor control probability

Identifiers

PMID38548113
PMCPMC11098686
OpenAlexW4393195680

What OpenQuestion holds

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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.