ReviewMolecular oncology2007
Cancer proteomics by quantitative shotgun proteomics.
Review in Molecular oncology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 90 citations in OpenAlex.
- Proteomic atlas of human peritoneal tissue.Scientific reports · 2026Article
- Integrated Machine Learning Algorithms-Enhanced Predication for Cervical Cancer from Mass Spectrometry-Based Proteomics Data.Bioengineering (Basel, Switzerland) · 2025Article
- Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines.Bioinformatics advances · 2025Article
- Unveiling diagnostic and therapeutic strategies for cervical cancer: biomarker discovery through proteomics approaches and exploring the role of cervical cancer stem cells.Frontiers in oncology · 2023Review
- Proteomic Profiling and Biomarker Discovery in Colorectal Liver Metastases.International journal of molecular sciences · 2022Review
- Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review.International journal of molecular sciences · 2022Review
- Assessing technical and biological variation in SWATH-MS-based proteomic analysis of chronic lymphocytic leukaemia cells.Scientific reports · 2021Article
- Refinements of LC-MS/MS Spectral Counting Statistics Improve Quantification of Low Abundance Proteins.Scientific reports · 2019Article
- Rapid method towards proteomic analysis of dried blood spots by MALDI mass spectrometry.Clinical mass spectrometry (Del Mar, Calif.) · 2019Article
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments.The annals of applied statistics · 2018Article
- Tear proteome analysis in ocular surface diseases using label-free LC-MS/MS and multiplexed-microarray biomarker validation.Scientific reports · 2017Article
- A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.Frontiers in oncology · 2017Review
- QuantFusion: Novel Unified Methodology for Enhanced Coverage and Precision in Quantifying Global Proteomic Changes in Whole Tissues.Molecular & cellular proteomics : MCP · 2016Article
- Proteomic analysis of effects by x-rays and heavy ion in HeLa cells.Radiology and oncology · 2014Article
- Article
- Quantitative proteomics in resected renal cancer tissue for biomarker discovery and profiling.British journal of cancer · 2014Article
- Proteomics approaches for the studies of bone metabolism.BMB reports · 2014Review
- Systematic nucleo-cytoplasmic trafficking of proteins following exposure of MCF7 breast cancer cells to estradiol.Journal of proteome research · 2014Article
- Prediction of spontaneous regression of cervical intraepithelial neoplasia lesions grades 2 and 3 by proteomic analysis.International journal of proteomics · 2014Article
- Proteomic analysis of energy metabolism and signal transduction in irradiated melanoma cells.International journal of ophthalmology · 2013Article
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
Abstract
A major scientific challenge at the present time for cancer research is the determination of the underlying biological basis for cancer development. It is further complicated by the heterogeneity of cancer's origin. Understanding the molecular basis of cancer requires studying the dynamic and spatial interactions among proteins in cells, signaling events among cancer cells, and interactions between the cancer cells and the tumor microenvironment. Recently, it has been proposed that large-scale protein expression analysis of cancer cell proteomes promises to be valuable for investigating mechanisms of cancer transformation. Advances in mass spectrometry technologies and bioinformatics tools provide a tremendous opportunity to qualitatively and quantitatively interrogate dynamic protein-protein interactions and differential regulation of cellular signaling pathways associated with tumor development. In this review, progress in shotgun proteomics technologies for examining the molecular basis of cancer development will be presented and discussed.
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.