ReviewCurrent treatment options in oncology2018
Proton Therapy in Non-small Cell Lung Cancer.
Review in Current treatment options in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 29 citations in OpenAlex.
- [High expression of LINC00467 promotes proliferation and metastasis of lung adenocarcinoma cells by suppressing autophagyNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Imaging Follow-Up of Nonsurgical Therapies for Lung Cancer:AJR. American journal of roentgenology · 2023Review
- Transition from multiportal video-assisted thoracic surgery to uniportal video-assisted thoracic surgery… and evolution to uniportal robotic-assisted thoracic surgery?Annals of cardiothoracic surgery · 2023Review
- circ-IARS depletion inhibits the progression of non-small-cell lung cancer by circ-IARS/miR-1252-5p/HDGF ceRNA pathway.Open medicine (Warsaw, Poland) · 2023Article
- LncRNA KCNQ1OT1 enhances the radioresistance of lung squamous cell carcinoma by targeting the miR-491-5p/TPX2-RNF2 axis.Journal of thoracic disease · 2022Article
- Article
- Review
- microRNA-1321 and microRNA-7515 contribute to the progression of non-small cell lung cancer by targeting CDC20.The Kaohsiung journal of medical sciences · 2022Article
- LINC01578 affects the radiation resistance of lung cancer cells through regulating microRNA-216b-5p/TBL1XR1 axis.Bioengineered · 2022Article
- Dosimetry, Efficacy, Safety, and Cost-Effectiveness of Proton Therapy for Non-Small Cell Lung Cancer.Cancers · 2021Review
- Normal Tissue Injury Induced by Photon and Proton Therapies: Gaps and Opportunities.International journal of radiation oncology, biology, physics · 2021Review
- Regional and organ-level responses to local lung irradiation in sheep.Scientific reports · 2021Article
- Stereotactic body radiotherapy (SBRT) for central and ultracentral node-negative lung tumors.Journal of thoracic disease · 2020Review
- Effect of Intensity Modulated Radiotherapy (IMRT) on the immunity, physical status and clinical effect of locally advanced NSCLC patients.Pakistan journal of medical sciencesArticle
- A Beam-Angle-Selection Method to Improve Inter-Fraction Motion Robustness for Lung Tumor Irradiation With Passive Proton Scattering.Technology in cancer research & treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
opinion statementNon-small cell lung cancer (NSCLC) accounts for 85% of new lung cancer cases and has 5-year survival rates ranging from 92% in early-stage disease to as low as 13% in locally advanced cases. Radiation therapy is a key component in the treatment repertoire for NSCLC, where it is currently used alone or in combinations with chemotherapy and surgery. Despite the broad use of modern photon radiation techniques, as many as 25% of patients experience isolated locoregional recurrences, and toxicity has been proven to be a limiting factor in many cases. Proton beam therapy (PBT) has emerged as a potential solution to improve upon clinical outcomes in both early-stage and locally advanced disease. The proton beam allows for a sharp dose build-up and drop-off, which is particularly important in lung cancer where nearby structures include the heart, spinal cord, esophagus, and uninvolved lung. There are now numerous studies showing dosimetric advantages of PBT in early and locally advanced NSCLC, particularly in the heart and lung doses. Randomized data comparing clinical outcomes between proton and photon radiation are limited to a small number of studies. Despite early results suggesting improvements or at least comparable outcomes with PBT, the most recent randomized comparisons have failed to show significant differences in toxicity and local control between photon and proton therapy. As newer PBT techniques (e.g., intensity-modulated proton therapy) are increasingly utilized, more dramatic improvements in tumor control and toxicity may be demonstrated. It is also important to recognize that there may be certain subpopulations in which the benefits of proton therapy are greater, such as central early-stage tumors, previously irradiated tumors, and locally advanced tumors, while others may best be treated with traditional photon techniques. As immunotherapy becomes more prevalent in the treatment of NSCLC, improving local control and limiting the toxicity contributed by radiation will be increasingly important. The unique dosimetric advantages of PBT may allow for tumor dose escalation while maintaining normal tissue doses to improve local control, or treating the tumor to the standard dose while decreasing normal tissue doses to improve toxicity. Finally, given the high costs of proton therapy, where low insurance approval rates have limited trial enrollment, it will be important to determine the overall cost-benefit ratio.
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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.