ArticleJournal of thoracic disease2023
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 7 citations in OpenAlex.
- Identification of Novel Protein Biomarkers for Early Detection of Radon-Induced Lung Cancer: A Comparative Study in Kazakhstan.Biomedicines · 2026Article
- Bioinformatics Identification and Experimental Validation of a Prognostic Model for the Survival of Lung Squamous Cell Carcinoma Patients.Biochemical genetics · 2025Article
- Arginine methylation patterns in LUAD: defining prognostic subtypes and relevance to immunotherapy.Discover oncology · 2025Article
- Cell components of tumor microenvironment in lung adenocarcinoma: Promising targets for small-molecule compounds.Chinese medical journal · 2025Review
- The multiple roles of interferon regulatory factor family in health and disease.Signal transduction and targeted therapy · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lung cancer has some of the highest morbidity and mortality worldwide among cancers, with non-small cell lung cancer (NSCLC) accounting for 85% of lung cancer diagnoses. Severe pulmonary hemorrhage (PH) is a serious potential adverse event in the treatment of lung cancer with bevacizumab. Significant clinical differences have been observed between patients with lung adenocarcinoma (LUAD) and those with lung squamous cell carcinoma (LUSC) after bevacizumab treatment; however, the underlying causes is unclear and requires further study. Methods: First, tumor tissues from LUAD and LUSC patients were stained with antibodies targeting CD31 and CD34 to assess the difference in microvessel density (MVD). Tube formation assays were performed using HMEC-1 cells cocultured with lung cancer cells. Single-cell sequencing data obtained from lung cancer tissues were then downloaded and analyzed to identify differentially expressed genes related to angiogenesis in LUAD and LUSC tumors. Real-time polymerase chain reaction, immunofluorescence analysis, small interfering RNA analysis, and enzyme-linked immunosorbent assay were performed to clarify the underlying causes. Results: The MVD of LUAD tissues was higher than that of LUSC tissues. Additionally, endothelial cells cocultured with LUAD cells had a higher MVD than did those cocultured with LUSC cells. Although bevacizumab mainly targets vascular endothelial growth factor ( Conclusions: Our data indicated that
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Registered trials
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.