[FTIR spectroscopic study on carcinoma cells].

Guang Pu Xue Yu Guang Pu Fen Xi

The First Affiliated Hospital, College of Medicine, Xi'an Jiaotong University, Xi'an 710061, China.

Published: January 2008

The aim of this research is to establish the cell basis for the carcinoma tissue diagnosis by exploring a method to obtain the FTIR (Fourier transform infrared) spectra of the cultured carcinoma cells with FTIR spectroscopy and investigating the special spectral features of the carcinoma cells compared with the carcinoma tissues. In the present paper, the gastric carcinoma tissues confirmed by histology were measured using a Nicolet Magna750-II FTIR spectrometer and the corresponding FTIR spectra were obtained. The cultured gastric carcinoma cells (SGC7901) were centrifuged to provide a small pellet of cells for FTIR analysis. The cell pellet was then placed on a specially designed salt plate made of BaF2. Then the infrared spectra were recorded by the same equipment. Based on the previously established criteria, a comparative study was subsequently carried out between the spectra of the cultured carcinoma cells (SGC7901) and that of the corresponding gastric tissues. Several infrared spectral features of the carcinoma cells were obtained: the different bands between cells and tissues locate in the range of 3 000-3 600 cm(-1) and 1 640 cm(-1) which are the range of the hydroxy stretching and blending bands of H2O. There are more H2O out of carcinoma cells in carcinoma tissues, so the strong bands of H2O cover the distinctive bands of carcinoma cells in carcinoma tissues. Although the carcinoma tissue is more complicated, which might originate from the intrinsic complexity of the tissue, the results suggest that the spectral features of the carcinoma cells can be well reflected by that of the carcinoma tissue. This study shows that the diagnosis of carcinoma tissue by FTIR method exhibits sufficient cell basis.

Download full-text PDF

Source

Publication Analysis

Top Keywords

carcinoma cells
32
carcinoma
17
carcinoma tissue
16
carcinoma tissues
16
spectra cultured
12
spectral features
12
features carcinoma
12
cells
10
cell basis
8
infrared spectra
8

Similar Publications

Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.

Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).

Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.

View Article and Find Full Text PDF

Most malignant hepatocellular tumors in children are classified as either hepatoblastoma (HB) or hepatocellular carcinoma (HCC), but some tumors demonstrate features of both HB and HCC . These tumors have been recognized under a provisional diagnostic category by the World Health Organization and are distinguished from HB and HCC by a combination of histological, immunohistochemical, and molecular features . Their outcomes and cellular composition remain an open question .

View Article and Find Full Text PDF

Tumor heterogeneity is the substrate for tumor evolution and the linchpin of treatment resistance. Cancer cell heterogeneity is largely attributed to distinct genetic changes within each cell population. However, the widespread epigenome repatterning that characterizes most cancers is also highly heterogenous within tumors and could generate cells with diverse identities and malignant features.

View Article and Find Full Text PDF

While the genetic paradigm of cancer etiology has proven powerful, it remains incomplete as evidenced by the widening spectrum of non-cancer cell-autonomous "hallmarks" of cancer. Studies have demonstrated the commonplace presence of high oncogenic mutational burdens in homeostatically-stable epithelia. Hence, the presence of driver mutations alone does not result in cancer.

View Article and Find Full Text PDF

Background: Esophageal cancer has a poor prognosis despite treatment advancements. Although the benefit of neoadjuvant chemoradiotherapy (CRT) followed by adjuvant immunotherapy is evident, the effects of CRT on PD-L1 expression in esophageal cancer are not well understood. This study examines the impact of neoadjuvant CRT on PD-L1 surface expression in esophageal cancer both and considering its implications for immunotherapy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!