Literature DB >> 24310851

Multilayered molecular profiling supported the monoclonal origin of metastatic renal cell carcinoma.

Yi Huang1, Shengjie Gao, Song Wu, Pengfei Song, Xiaojuan Sun, Xueda Hu, Shiqiang Zhang, Yuan Yu, Jialou Zhu, Cailing Li, Zike Qin, Liangfu Xie, Qiong Yao, Aifa Tang, Zesong Li, Guangwu Guo, Shengqing Wan, Pei Dong, Liang Sun, Weiping Li, Daping Wang, Yaoting Gui, Huanming Yang, Fangjian Zhou, Xiuqing Zhang, Zhiming Cai.   

Abstract

Primary renal cell carcinomas (pRCCs) have a high degree of intratumoral heterogeneity and are composed of multiple distinct subclones. However, it remains largely unknown that whether metastatic renal cell carcinomas (mRCCs) also have startling intratumoral heterogeneity or whether development of mRCCs is due to early dissemination or late diagnosis. To decipher the evolution of mRCC, we analyzed the multilayered molecular profiles of pRCC, local invasion of the vena cava (IVC), and distant metastasis to the brain (MB) from the same patient using whole-genome sequencing, whole-exome sequencing, DNA methylome profiling, and transcriptome sequencing. We found that mRCC had a lower degree of heterogeneity than pRCC and was likely to result from recent clonal expansion of a rare, advantageous subclone. Consequently, some key pathways that are targeted by clinically available drugs showed distinct expression patterns between pRCC and mRCC. From the genetic distances between different tumor subclones, we estimated that the progeny subclone giving rise to distant metastasis took over half a decade to acquire the full potential of metastasis since the birth of the subclone that evolved into IVC. Our evidence supported that mRCC was monoclonal and distant metastasis occurred late during renal cancer progression. Thus, there was a broad window for early detection of circulating tumor cells and future targeted treatments for patients with mRCCs should rely on the molecular profiles of metastases.
© 2013 UICC.

Entities:  

Keywords:  metastasis; renal cancer; tumor evolution

Mesh:

Year:  2013        PMID: 24310851     DOI: 10.1002/ijc.28654

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  10 in total

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