The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Molecular Analysis of Tumor Margins by MALDI Mass Spectrometry in Renal Carcinoma
Open accessAbstract
The rate of tumor recurrence post resection suggests that there are underlying molecular changes in nearby histologically normal tissue that go undetected by conventional diagnostic methods that utilize contrast agents and immunohistochemistry. MALDI MS is a molecular technology that has the specificity and sensitivity to monitor and identify molecular species indicative of these changes. The current study utilizes this technology to assess molecular distributions within a tumor and adjacent normal tissue in clear cell renal cell carcinoma biopsies. Results indicate that the histologically normal tissue adjacent to the tumor expresses many of the molecular characteristics of the tumor. Proteins of the mitochondrial electron transport system are examples of such distributions. This work demonstrates the utility of MALDI MS for the analysis of tumor tissue in the elucidation of aberrant molecular changes in the tumor microenvironment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
Molecular Imaging of Biological Samples: Localization of Peptides and Proteins Using MALDI-TOF MS
Caprioli, R. M., Farmer, T. B., & Gile, J. (1997) · Analytical Chemistry · doi:10.1021/ac970888i · Cited by 2,234
Self-citationGuzy, R. D., & Schumacker, P. T. (2006) · Experimental Physiology · doi:10.1113/expphysiol.2006.033506 · Cited by 881
The biology of hypoxia: the role of oxygen sensing in development, normal function, and disease
Giaccia, A. J., Simon, M. C., & Johnson, R. (2004) · Genes & Development · doi:10.1101/gad.1243304 · Cited by 380
Cited by
MALDI Imaging of Lipid Biochemistry in Tissues by Mass Spectrometry
Zemski Berry, K. A., Hankin, J. A., Barkley, R. M., Spraggins, J. M., Caprioli, R. M., & Murphy, R. C. (2011) · Chemical Reviews · doi:10.1021/cr200280p · Cited by 386
Self-citationMALDI imaging mass spectrometry of human tissue: method challenges and clinical perspectives
Seeley, E. H., & Caprioli, R. M. (2011) · Trends in Biotechnology · doi:10.1016/j.tibtech.2010.12.002 · Cited by 197
Self-citation
Metadata
- Authors
- Oppenheimer, S. R., Mi, D., Sanders, M. E., & Caprioli, R. M.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-24
- Volume
- 9
- Issue
- 5
- Pages
- 2182-2190
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1987355385
- Cited by
- 167
- References
- 4
- FWCI
- 10.23
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
