Literature DB >> 8625039

Characterization of malignant colon tumors with 31P nuclear magnetic resonance phospholipid and phosphatic metabolite profiles.

T E Merchant1, P M Diamantis, G Lauwers, T Haida, J N Kasimos, J Guillem, T Glonek, B D Minsky.   

Abstract

BACKGROUND: To further characterize selected pathologic features on a biochemical level, the authors analyzed the nuclear magnetic resonance metabolite and phospholipid spectra of 30 malignant colon tumors using 31P magnetic resonance spectroscopy.
METHODS: Eleven individual generic phospholipids were identified in the spectra of 17 phospholipid extracts, and 31 individual phosphatic metabolites were identified in the spectra of 13 perchloric acid extracts. The metabolites and lipids were quantified for statistical intergroup comparisons based on tumor stage, lymph node status, differentiation, mucin production, blood vessel invasion (BVI), and lymphatic vessel invasion (LVI).
RESULTS: Significant elevations in the relative concentration of alpha-glycerol phosphate were noted when comparing AJCC tumor classification (T3 vs. T2, 0.92 +/- 0.14 vs. 0.46 +/- 0.11, P < 0.009), tumor differentiation (moderately vs. well differentiated, 0.92 +/- 0.14 vs. 0.46 +/- 0.11, P < 0.009), and BVI (presence vs. absence, 1.03 +/- 0.04 vs. 0.68 +/- 0.10, P < 0.028) by elastic tissue stain. Among the tissue phospholipids analyzed, the relative concentration of a choline phospholipid was significantly different when comparing moderately and poorly differentiated tumors (6.26 +/- 0.56 vs. 3.29 +/- 0.30, P < 0.001), T2 and T3 tumors (3.90 +/- 0.45 vs. 6.31 +/- 0.56, P < 0.009), and mucin-positive vs. mucin-negative tumors (4.46 +/- 0.56 vs. 6.83 +/- 0.76, P < 0.028). Differences in lymph node status of the cases analyzed in this study (lymph node positive vs. lymph node negative) were noted for tumors with elevated levels of sphingomyelin (8.13 +/- 0.40 vs. 6.88 +/- 0.16, P < 0.02), diminished levels of phosphatidylinositol (5.25 +/- 0.27 vs. 6.38 +/- 0.34, P < 0.02), elevated levels of beta-glycerol phosphate (5.30 +/- 0.70 vs. 1.20 +/- 0.06, P < 0.05), and elevated levels of glycerol 3-phosphoserine (0.48 +/- 0.01 vs. 0.23 +/- 0.02, P < 0.002).
CONCLUSIONS: The characteristic differences in the phospholipid and intermediate phosphate metabolite profiles identified through magnetic resonance spectroscopic and histopathologic analysis may provide important information regarding the nature of tumor and cell membrane metabolism. Differences in these profiles may identify markers useful for biologic behavior, provide prognostic information, and characterize the impact of the pathologic features of colon cancer.

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Year:  1995        PMID: 8625039     DOI: 10.1002/1097-0142(19951115)76:10<1715::aid-cncr2820761007>3.0.co;2-d

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  10 in total

1.  Phospholipid identification and quantification of membrane vesicle subfractions by 31P-1H two-dimensional nuclear magnetic resonance.

Authors:  B Larijani; D L Poccia; L C Dickinson
Journal:  Lipids       Date:  2000-11       Impact factor: 1.880

2.  Anandamide and other N-acylethanolamines in human tumors.

Authors:  Patricia C Schmid; Lester E Wold; Randy J Krebsbach; Evgueni V Berdyshev; Harald H O Schmid
Journal:  Lipids       Date:  2002-09       Impact factor: 1.880

Review 3.  Sphingolipid abnormalities in cancer multidrug resistance: Chicken or egg?

Authors:  Wing-Kee Lee; Richard N Kolesnick
Journal:  Cell Signal       Date:  2017-07-04       Impact factor: 4.315

4.  VSL#3 probiotic upregulates intestinal mucosal alkaline sphingomyelinase and reduces inflammation.

Authors:  I Soo; K L Madsen; Q Tejpar; B C Sydora; R Sherbaniuk; B Cinque; L Di Marzio; M Grazia Cifone; C Desimone; R N Fedorak
Journal:  Can J Gastroenterol       Date:  2008-03       Impact factor: 3.522

5.  Purified intestinal alkaline sphingomyelinase inhibits proliferation without inducing apoptosis in HT-29 colon carcinoma cells.

Authors:  Erik Hertervig; Ake Nilsson; Yajun Cheng; Rui-Dong Duan
Journal:  J Cancer Res Clin Oncol       Date:  2003-08-12       Impact factor: 4.553

6.  A role for ceramide glycosylation in resistance to oxaliplatin in colorectal cancer.

Authors:  James P Madigan; Robert W Robey; Joanna E Poprawski; Huakang Huang; Christopher J Clarke; Michael M Gottesman; Myles C Cabot; Daniel W Rosenberg
Journal:  Exp Cell Res       Date:  2020-01-20       Impact factor: 3.905

7.  Familial adenomatous polyposis is associated with a marked decrease in alkaline sphingomyelinase activity: a key factor to the unrestrained cell proliferation?

Authors:  E Hertervig; A Nilsson; J Björk; R Hultkrantz; R D Duan
Journal:  Br J Cancer       Date:  1999-09       Impact factor: 7.640

Review 8.  MRS-based Metabolomics in Cancer Research.

Authors:  Tedros Bezabeh; Omkar B Ijare; Alexander E Nikulin; Rajmund L Somorjai; Ian Cp Smith
Journal:  Magn Reson Insights       Date:  2014-02-13

9.  In silico and in vitro design of cordycepin encapsulation in liposomes for colon cancer treatment.

Authors:  Wasinee Khuntawee; Rawiporn Amornloetwattana; Wanwipa Vongsangnak; Katawut Namdee; Teerapong Yata; Mikko Karttunen; Jirasak Wong-Ekkabut
Journal:  RSC Adv       Date:  2021-02-25       Impact factor: 3.361

10.  Highly Selective Anti-Cancer Activity of Cholesterol-Interacting Agents Methyl-β-Cyclodextrin and Ostreolysin A/Pleurotolysin B Protein Complex on Urothelial Cancer Cells.

Authors:  Nataša Resnik; Urška Repnik; Mateja Erdani Kreft; Kristina Sepčić; Peter Maček; Boris Turk; Peter Veranič
Journal:  PLoS One       Date:  2015-09-11       Impact factor: 3.240

  10 in total

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