Literature DB >> 7763031

Plasma amino acid imbalance in patients with lung and breast cancer.

A Cascino1, M Muscaritoli, C Cangiano, L Conversano, A Laviano, S Ariemma, M M Meguid, F Rossi Fanelli.   

Abstract

In order to evaluate whether different solid tumors may specifically influence plasma free amino acid (PFAA) profile, PFAA were analysed in seventy-four patients with lung (41 patients) and breast cancer (33 patients) and 28 healthy subjects. In lung cancer patients a significant reduction of gluconeogenic amino acids, threonine, serine, glycine and a significant increase of free tryptophan and glutamic acid was found. In breast cancer patients a significant increase of ornithine, glutamic acid and free tryptophan was found. The comparison of PFAA profiles between lung and breast cancer suggests that different tumors have a different influence on the host's PFAA pattern.

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Year:  1995        PMID： 7763031

Source DB:  PubMed          Journal:  Anticancer Res        ISSN： 0250-7005            Impact factor:   2.480


  29 in total

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4.  Assessment of Blood Plasma Free-amino Acid Levels in Infertile Men.

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5.  Lung cancer metabolomic data from tumor core biopsies enables risk-score calculation for progression-free and overall survival.

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Authors:  Etsuko Miyagi; Yasuyo Maruyama; Tae Mogami; Reiko Numazaki; Atsuko Ikeda; Hiroshi Yamamoto; Fumiki Hirahara
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7.  Plasma metabolomic profiles in breast cancer patients and healthy controls: by race and tumor receptor subtypes.

Authors:  Jie Shen; Li Yan; Song Liu; Christine B Ambrosone; Hua Zhao
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8.  Amino acid uptake in arterio-venous serum of normal and cancerous colon tissues.

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Journal:  World J Gastroenterol       Date:  2004-05-01       Impact factor: 5.742

9.  Plasma-free amino acid profiling of cervical cancer and cervical intraepithelial neoplasia patients and its application for early detection.

Authors:  Ayshamgul Hasim; Aixingzi Aili; Aminigul Maimaiti; Batur Mamtimin; Abulizi Abudula; Halmurat Upur
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10.  Metabolic profiles of serum samples from ground glass opacity represent potential diagnostic biomarkers for lung cancer.

Authors:  Jian-Zhong Li; Yuan-Yang Lai; Jian-Yong Sun; Li-Na Guan; Hong-Fei Zhang; Chen Yang; Yue-Feng Ma; Tao Liu; Wen Zhao; Xiao-Long Yan; Shao-Min Li
Journal:  Transl Lung Cancer Res       Date:  2019-08
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