ArticleOncotarget2016
Integrated quantitative proteomic and transcriptomic analysis of lung tumor and control tissue: a lung cancer showcase.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 20 citations in OpenAlex.
- Loss of the RAGE function in hypoxic conditions exacerbates the malignant progression of lung adenocarcinoma via damage-associated molecular pattern signaling.Translational oncology · 2026Article
- Time-Course of Transcriptomic Change in the Lungs of F344 Rats Repeatedly Exposed to a Multiwalled Carbon Nanotube in a 2-Year Test.Nanomaterials (Basel, Switzerland) · 2023Article
- Quantitative proteomics identifies tumour matrisome signatures in patients with non-small cell lung cancer.Frontiers in oncology · 2023Article
- Proteomic analysis enables distinction of early- versus advanced-stage lung adenocarcinomas.Clinical and translational medicine · 2020Article
- Combining Precursor and Fragment Information for Improved Detection of Differential Abundance in Data Independent Acquisition.Molecular & cellular proteomics : MCP · 2020Article
- Schwann cell reprogramming and lung cancer progression: a meta-analysis of transcriptome data.Oncotarget · 2019Article
- Are There New Biomarkers in Tissue and Liquid Biopsies for the Early Detection of Non-Small Cell Lung Cancer?Journal of clinical medicine · 2019Review
- 3D Cellular Architecture Affects MicroRNA and Protein Cargo of Extracellular Vesicles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Genetic variation at the microRNA binding site of CAV1 gene is associated with lung cancer susceptibility.Oncotarget · 2017Article
- Relative protein quantification and accessible biology in lung tumor proteomes from four LC-MS/MS discovery platforms.Proteomics · 2017Article
- Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer.Scientific reports · 2017Article
- Paired proteomics, transcriptomics and miRNomics in non-small cell lung cancers: known and novel signaling cascades.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Proteomics analysis of paired cancer and control tissue can be applied to investigate pathological processes in tumors. Advancements in data-independent acquisition mass spectrometry allow for highly reproducible quantitative analysis of complex proteomic patterns. Optimized sample preparation workflows enable integrative multi-omics studies from the same tissue specimens.We performed ion mobility enhanced, data-independent acquisition MS to characterize the proteome of 21 lung tumor tissues including adenocarcinoma and squamous cell carcinoma (SCC) as compared to control lung tissues of the same patient each. Transcriptomic data were generated for the same specimens. The quantitative proteomic patterns and mRNA abundances were subsequently analyzed using systems biology approaches.We report a significantly (p = 0.0001) larger repertoire of proteins in cancer tissues. 12 proteins were higher in all tumor tissues as compared to matching control tissues. Three proteins, CAV1, CAV2, and RAGE, were vice versa higher in all controls. We also identified characteristic SCC and adenocarcinoma protein patterns. Principal Component Analysis provided evidence that not only cancer from control tissue but also tissue from adenocarcinoma and SCC can be differentiated. Transcriptomic levels of key proteins measured from the same matched tissue samples correlated with the observed protein patterns.The applied study set-up with paired lung tissue specimens of which different omics are measured, is generally suited for an integrated multi-omics analysis.
Indexed as
Identifiers
What OpenQuestion holds
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.