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根治性结直肠癌手术对呼出挥发性有机化合物的影响及其在临床随访中的潜在意义。

Effects of Curative Colorectal Cancer Surgery on Exhaled Volatile Organic Compounds and Potential Implications in Clinical Follow-up.

作者信息

Altomare Donato F, Di Lena Maria, Porcelli Francesca, Travaglio Elisabetta, Longobardi Francesco, Tutino Maria, Depalma Norma, Tedesco Giuseppina, Sardaro Annamaria, Memeo Riccardo, de Gennaro Gianluigi

机构信息

*Department of Emergency and Organ Transplantation, Azienda Ospedaliero-Universitaria, Bari, Italy †Department of Chemistry, University Aldo Moro of Bari, Bari, Italy.

出版信息

Ann Surg. 2015 Nov;262(5):862-6; discussion 866-7. doi: 10.1097/SLA.0000000000001471.

Abstract

OBJECTIVE

The aim of this study was to determine whether the volatile organic compounds (VOCs) pattern in colorectal cancer (CRC) patients is modified by curative surgery for a potential application in the oncologic follow-up.

BACKGROUND

CRC has been proved to induce metabolic derangements detectable by high through-output techniques in exhaled breath showing a specific pattern of VOCs.

METHODS

Forty-eight CRC patients and 55 healthy controls (HC) entered the study. Thirty-two patients (M/F: 1.4; mean age 63 years) attended the oncologic follow-up (mean 24 months) and were found disease-free. Breath samples were collected under similar environmental conditions into a Tedlar bags and processed offline by thermal-desorption gas chromatography-mass spectrometry (TD-GC-MS). VOCs were selected by U test to build a Probabilistic Neural Network (PNN) model to set-up a training phase, which was cross-validated using the leave-one out method.

RESULTS

A total of 11 VOCs were finally selected for their excellent discriminant performance in identifying disease-free patients in follow-up from CRC patients before surgery, (sensitivity 100%, specificity 97.92%, accuracy 98.75%, and AUC: 1). The same VOCs pattern discriminated follow-up patients from HC, with a sensitivity of 100%, specificity of 90.91%, accuracy of 94.25%, and AUC 0.959.

CONCLUSIONS

Exhaled VOCs pattern from CRC patients is modified by cancer removal confirming the tight relationship between tumor metabolism and exhaled VOCs. PNN analysis provides a high discriminatory tool to identify patients disease-free after curative surgery suggesting potential implications in CRC screening and secondary prevention.

摘要

目的

本研究旨在确定结直肠癌(CRC)患者的挥发性有机化合物(VOCs)模式是否会因根治性手术而改变,以便在肿瘤学随访中潜在应用。

背景

CRC已被证明会引发代谢紊乱,通过呼出气体中的高通量技术可检测到,呈现出特定的VOCs模式。

方法

48例CRC患者和55名健康对照(HC)参与了本研究。32例患者(男/女比例为1.4;平均年龄63岁)接受了肿瘤学随访(平均24个月),且未发现疾病复发。在相似的环境条件下,将呼出气体样本收集到Tedlar袋中,并通过热解吸气相色谱 - 质谱联用仪(TD - GC - MS)进行离线处理。通过U检验选择VOCs,以构建概率神经网络(PNN)模型并进行训练阶段设置,使用留一法进行交叉验证。

结果

最终共选择了11种VOCs,它们在识别术前CRC患者随访中的无病患者方面具有出色的判别性能(敏感性100%,特异性97.92%,准确性98.75%,曲线下面积:1)。相同的VOCs模式可区分随访患者与HC,敏感性为100%,特异性为90.91%,准确性为94.25%,曲线下面积为0.959。

结论

CRC患者呼出的VOCs模式因肿瘤切除而改变,证实了肿瘤代谢与呼出VOCs之间的紧密关系。PNN分析提供了一种高度 discriminatory 的工具,用于识别根治性手术后无病的患者,表明其在CRC筛查和二级预防中具有潜在意义。 (注:“discriminatory”直译为“有辨别力的”,结合语境这里可能是想说“具有高度判别能力的”,但原文如此,按要求未做修改)

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