Evidence map›Paper›PMID 25150698›Full record

ArticleAnalytica chimica acta2014

Imaging of epidermal growth factor receptor on single breast cancer cells using surface-enhanced Raman spectroscopy.

Lifu Xiao, Sitaram Harihar, Danny R Welch, Anhong Zhou

Abstract read
In one paragraph

Article in Analytica chimica acta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Spatiotemporal dynamic monitoring of fatty acid-receptor interaction on single living cells by multiplexed Raman imaging.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  6. Article
  7. Article
  8. GdSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy · 2017
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Lifu XiaoDepartment of Biological Engineering, Utah State University, Logan, UT 84322-4105, USA.
Sitaram HariharDepartment of Cancer Biology, The University of Kansas Medical Center and The University of Kansas Cancer Center, Kansas City, KS 66160, USA.
Danny R WelchDepartment of Cancer Biology, The University of Kansas Medical Center and The University of Kansas Cancer Center, Kansas City, KS 66160, USA.
Anhong ZhouDepartment of Biological Engineering, Utah State University, Logan, UT 84322-4105, USA. Electronic address: Anhong.Zhou@usu.edu.
University of Kansas Medical Center · USUtah State University · US

Funding

MOLECULAR REGULATION OF BREAST CANCER METASTASISR01CA087728 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WELCH, DANNY R. · 2000 to 2008
$2.7M
KISS1: Defining Mechanisms for Antimetastatic TherapyR01CA134981 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI WELCH, DANNY R. · 2009 to 2014
$1.5M
NCI NIH HHS R01 CA087728NCI NIH HHS R01 CA134981NCI NIH HHS R01-CA87728
6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is widely used as a biomarker for pathological grading and therapeutic targeting of human cancers. This study investigates expression, spatial distribution as well as the endocytosis of EGFR in single breast cancer cells using surface-enhanced Raman spectroscopy (SERS). By incubating anti-EGFR antibody conjugated SERS nanoprobes with an EGFR-over-expressing cancer cell line, A431, EGFR localization was measured over time and found to be located primarily at the cell surface. To further validate the constructed SERS probes, we applied this SERS probes to detect the EGFR expression on breast cancer cells (MDA-MB-435, MDA-MB-231) and their counterpart cell lines in which EGFR expression was down-regulated by breast cancer metastasis suppressor 1 (BRMS1). The results showed that SERS method not only confirms immunoblot data measuring EGFR levels, but also adds new insights regarding EGFR localization and internalization in living cells which is impossible in immunoblot method. Thus, SERS provides a powerful new tool to measure biomarkers in living cancer cells.

Indexed as

Breast NeoplasmsCell Line, TumorErbB ReceptorsFemaleHumansSpectrum Analysis, RamanErbB ReceptorsBreast cancer cellsRaman depth mappingRaman line profiling

Identifiers

PMID25150698
PMCPMC4167599
OpenAlexW1981048964

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.