Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer.
Wide-Targeted Metabolome Analysis Identifies Potential Biomarkers for Prognosis Prediction of Epithelial Ovarian Cancer.
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DOI：
10.3390/toxins13070461
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发表时间：
2021-06-30
期刊：
影响因子：
4.2
通讯作者：
Yaegashi N
中科院分区：
文献类型：
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作者：
Hishinuma E;Shimada M;Matsukawa N;Saigusa D;Li B;Kudo K;Tsuji K;Shigeta S;Tokunaga H;Kumada K;Komine K;Shirota H;Aoki Y;Motoike IN;Yasuda J;Kinoshita K;Yamamoto M;Koshiba S;Yaegashi N
上皮性卵巢癌(EOC)是一种致命的妇科癌症，其预后差的主要原因是延误诊断。因此，生物标志物的识别和预后预测在卵巢癌中至关重要。细胞代谢改变是癌症的一个特征，代谢组学反映了个体当前的表型。特别是，血浆代谢组分析可以用于生物标记物的识别。在这项研究中，我们用超高效液相色谱-串联质谱仪分析了80例卵巢癌患者血浆中包括尿毒症毒素(UTX)在内的624种代谢物。与健康对照组相比，EoC患者检测到77种代谢物显著增加，114种代谢物显著降低。特别是，溶血磷脂酰胆碱和磷脂酰胆碱浓度降低，甘油三酯浓度升高，表明卵巢癌患者的代谢特征。计算各代谢指标参数后，我们发现犬尿氨酸/色氨酸比值越高，EOC患者的预后越差。犬尿氨酸是UTX的一种，可影响卵巢癌的预后。结果表明，血浆代谢组学分析不仅有助于卵巢癌的诊断，而且有助于根据UTX的变化预测预后和评价化疗疗效。
Epithelial ovarian cancer (EOC) is a fatal gynecologic cancer, and its poor prognosis is mainly due to delayed diagnosis. Therefore, biomarker identification and prognosis prediction are crucial in EOC. Altered cell metabolism is a characteristic feature of cancers, and metabolomics reflects an individual’s current phenotype. In particular, plasma metabolome analyses can be useful for biomarker identification. In this study, we analyzed 624 metabolites, including uremic toxins (UTx) in plasma derived from 80 patients with EOC using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). Compared with the healthy control, we detected 77 significantly increased metabolites and 114 significantly decreased metabolites in EOC patients. Especially, decreased concentrations of lysophosphatidylcholines and phosphatidylcholines and increased concentrations of triglycerides were observed, indicating a metabolic profile characteristic of EOC patients. After calculating the parameters of each metabolic index, we found that higher ratios of kynurenine to tryptophan correlates with worse prognosis in EOC patients. Kynurenine, one of the UTx, can affect the prognosis of EOC. Our results demonstrated that plasma metabolome analysis is useful not only for the diagnosis of EOC, but also for predicting prognosis with the variation of UTx and evaluating response to chemotherapy.
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DOI：
10.3390/ijerph18042167
发表时间：
2021-02-23
影响因子：
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作者：
Horala A;Plewa S;Derezinski P;Klupczynska A;Matysiak J;Nowak-Markwitz E;Kokot ZJ
通讯作者：
Kokot ZJ
影响因子：
3.7
作者：
Miyagi Y;Higashiyama M;Gochi A;Akaike M;Ishikawa T;Miura T;Saruki N;Bando E;Kimura H;Imamura F;Moriyama M;Ikeda I;Chiba A;Oshita F;Imaizumi A;Yamamoto H;Miyano H;Horimoto K;Tochikubo O;Mitsushima T;Yamakado M;Okamoto N
通讯作者：
Okamoto N
影响因子：
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作者：
Miolo G;Muraro E;Caruso D;Crivellari D;Ash A;Scalone S;Lombardi D;Rizzolio F;Giordano A;Corona G
通讯作者：
Corona G
影响因子：
4.7
作者：
Kuriyama S;Yaegashi N;Nagami F;Arai T;Kawaguchi Y;Osumi N;Sakaida M;Suzuki Y;Nakayama K;Hashizume H;Tamiya G;Kawame H;Suzuki K;Hozawa A;Nakaya N;Kikuya M;Metoki H;Tsuji I;Fuse N;Kiyomoto H;Sugawara J;Tsuboi A;Egawa S;Ito K;Chida K;Ishii T;Tomita H;Taki Y;Minegishi N;Ishii N;Yasuda J;Igarashi K;Shimizu R;Nagasaki M;Koshiba S;Kinoshita K;Ogishima S;Takai-Igarashi T;Tominaga T;Tanabe O;Ohuchi N;Shimosegawa T;Kure S;Tanaka H;Ito S;Hitomi J;Tanno K;Nakamura M;Ogasawara K;Kobayashi S;Sakata K;Satoh M;Shimizu A;Sasaki M;Endo R;Sobue K;Tohoku Medical Megabank Project Study Group T;Yamamoto M
通讯作者：
Yamamoto M
DOI：
10.3390/diagnostics11030561
发表时间：
2021-03-20
期刊：
Diagnostics (Basel, Switzerland)
影响因子：
--
作者：
Erben V;Poschet G;Schrotz-King P;Brenner H
通讯作者：
Brenner H