Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer.
Jens G LohrViktor A AdalsteinssonKristian CibulskisAtish D ChoudhuryMara RosenbergPeter Cruz-GordilloJoshua M FrancisCheng-Zhong ZhangAlex K ShalekRahul SatijaJohn J TrombettaDiana LuNaren TallapragadaNarmin TahirovaSora KimBrendan BlumenstielCarrie SougnezAlarice LoweBang WongDaniel AuclairEliezer M Van AllenMari NakabayashiRosina T LisGwo-Shu M LeeTiantian LiMatthew S ChabotAmy LyMary-Ellen TaplinThomas E ClancyMassimo LodaAviv RegevMatthew MeyersonWilliam C HahnPhilip W KantoffTodd R GolubGad GetzJesse S BoehmJ Christopher LovePublished in: Nature biotechnology (2014)
Comprehensive analyses of cancer genomes promise to inform prognoses and precise cancer treatments. A major barrier, however, is inaccessibility of metastatic tissue. A potential solution is to characterize circulating tumor cells (CTCs), but this requires overcoming the challenges of isolating rare cells and sequencing low-input material. Here we report an integrated process to isolate, qualify and sequence whole exomes of CTCs with high fidelity using a census-based sequencing strategy. Power calculations suggest that mapping of >99.995% of the standard exome is possible in CTCs. We validated our process in two patients with prostate cancer, including one for whom we sequenced CTCs, a lymph node metastasis and nine cores of the primary tumor. Fifty-one of 73 CTC mutations (70%) were present in matched tissue. Moreover, we identified 10 early trunk and 56 metastatic trunk mutations in the non-CTC tumor samples and found 90% and 73% of these mutations, respectively, in CTC exomes. This study establishes a foundation for CTC genomics in the clinic.
Keyphrases
- circulating tumor cells
- papillary thyroid
- lymph node metastasis
- prostate cancer
- squamous cell carcinoma
- small cell lung cancer
- circulating tumor
- single cell
- radical prostatectomy
- squamous cell
- lower limb
- primary care
- gene expression
- machine learning
- cell death
- molecular dynamics simulations
- molecular dynamics
- childhood cancer
- cell proliferation
- mass spectrometry
- climate change
- signaling pathway
- pi k akt