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关键代谢物转录本的比值是预测乳腺癌肺转移的生物标志物。

The Ratio of Key Metabolic Transcripts Is a Predictive Biomarker of Breast Cancer Metastasis to the Lung.

机构信息

Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, New York.

Department of Cancer Biology and Genetics, The James Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.

出版信息

Cancer Res. 2023 Oct 13;83(20):3478-3491. doi: 10.1158/0008-5472.CAN-23-0153.

Abstract

UNLABELLED

Understanding the rewired metabolism underlying organ-specific metastasis in breast cancer could help identify strategies to improve the treatment and prevention of metastatic disease. Here, we used a systems biology approach to compare metabolic fluxes used by parental breast cancer cells and their brain- and lung-homing derivatives. Divergent lineages had distinct, heritable metabolic fluxes. Lung-homing cells maintained high glycolytic flux despite low levels of glycolytic intermediates, constitutively activating a pathway sink into lactate. This strong Warburg effect was associated with a high ratio of lactate dehydrogenase (LDH) to pyruvate dehydrogenase (PDH) expression, which correlated with lung metastasis in patients with breast cancer. Although feature classification models trained on clinical characteristics alone were unable to predict tropism, the LDH/PDH ratio was a significant predictor of metastasis to the lung but not to other organs, independent of other transcriptomic signatures. High lactate efflux was also a trait in lung-homing metastatic pancreatic cancer cells, suggesting that lactate production may be a convergent phenotype in lung metastasis. Together, these analyses highlight the essential role that metabolism plays in organ-specific cancer metastasis and identify a putative biomarker for predicting lung metastasis in patients with breast cancer.

SIGNIFICANCE

Lung-homing metastatic breast cancer cells express an elevated ratio of lactate dehydrogenase to pyruvate dehydrogenase, indicating that ratios of specific metabolic gene transcripts have potential as metabolic biomarkers for predicting organ-specific metastasis.

摘要

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理解乳腺癌器官特异性转移背后的重新布线代谢可能有助于确定改善转移性疾病治疗和预防的策略。在这里,我们使用系统生物学方法比较了亲本乳腺癌细胞及其脑和肺归巢衍生物所使用的代谢通量。不同的谱系具有不同的、可遗传的代谢通量。尽管糖酵解中间产物水平较低,但肺归巢细胞仍保持着高糖酵解通量,持续激活到乳酸的途径汇。这种强烈的Warburg 效应与高乳酸脱氢酶(LDH)与丙酮酸脱氢酶(PDH)表达比相关,这与乳腺癌患者的肺转移相关。尽管仅基于临床特征训练的特征分类模型无法预测趋向性,但 LDH/PDH 比值是肺转移的重要预测因子,但与其他器官转移无关,与其他转录组特征无关。高乳酸流出也是肺归巢转移性胰腺癌细胞的特征,表明乳酸生成可能是肺转移的一个趋同表型。综上所述,这些分析强调了代谢在器官特异性癌症转移中的重要作用,并确定了预测乳腺癌患者肺转移的潜在代谢生物标志物。

意义

肺归巢转移性乳腺癌细胞表达升高的乳酸脱氢酶与丙酮酸脱氢酶比值,表明特定代谢基因转录本的比值具有作为预测器官特异性转移的代谢生物标志物的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56c8/10570685/c5e0f8b973bc/overview_graphic_can-23-0153.jpg

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