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Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers

Background The encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and genomic data. Somatic copy number (CN) variation is the dominant mutational mechanism leading to transcriptional variation and notably contributes to platinum chemotherapy resistance cell states. Here, we deploy time series measurements of triple negative breast cancer (TNBC) single-cell transcriptomes, along with co-measured single-cell CN fitness, identifying genomic and transcriptomic mechanisms in drug associated transcriptional cell states. Results We present scRNA-seq data (53,641 filtered cells) from serial passaging TNBC patient-derived xenograft (PDX) experiments spanning 2.5 years, matched with genomic single-cell CN data from the same samples. Our findings reveal distinct clonal responses within TNBC tumors exposed to platinum. Clones with high drug fitness undergo clonal sweeps and show subtle transcriptional reversion, while those with weak fitness exhibit dynamic transcription upon drug withdrawal. Pathway analysis highlights convergence on epithelial-mesenchymal transition and cytokine signaling, associated with resistance. Furthermore, pseudotime analysis demonstrates hysteresis in transcriptional reversion, indicating generation of new intermediate transcriptional states upon platinum exposure. Conclusions Within a polyclonal tumor, clones with strong genotype-associated fitness under platinum remained fixed, minimizing transcriptional reversion upon drug withdrawal. Conversely, clones with weaker fitness display non-genomic transcriptional plasticity. This suggests CN-associated and CN-independent transcriptional states could both contribute to platinum resistance. The dominance of genomic or non-genomic mechanisms within polyclonal tumors has implications for drug sensitivity, restoration and re-treatment strategies.

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Dataset ID Description Technology Samples
EGAD00001011209 NextSeq 500 1
EGAD00001011210 NextSeq 500 1
EGAD00001011211 NextSeq 500 1
EGAD00001011212 Illumina HiSeq X 1
EGAD00001011213 Illumina HiSeq 2500 Illumina HiSeq X 1
EGAD00001011214 Illumina HiSeq 2500 1
EGAD00001011215 Illumina HiSeq 2500 1
EGAD00001011216 Illumina HiSeq 2500 1
EGAD00001011217 Illumina HiSeq 2500 1
EGAD00001011218 Illumina HiSeq 2500 1
EGAD00001011219 Illumina HiSeq 2500 1
EGAD00001011220 Illumina HiSeq 2500 1
EGAD00001011221 Illumina HiSeq 2500 1
EGAD00001011222 NextSeq 500 1
EGAD00001011223 Illumina HiSeq 2500 1
EGAD00001011224 BGISEQ-500 Illumina HiSeq 2500 1
EGAD00001011225 Illumina HiSeq 2500 1
EGAD00001011226 Illumina HiSeq 2500 1
EGAD00001011227 Illumina HiSeq 2500 1
EGAD00001011228 Illumina HiSeq 2500 1
EGAD00001011229 Illumina HiSeq 2500 1
EGAD00001011230 Illumina HiSeq 2500 1
EGAD00001011231 Illumina HiSeq 2500 1
EGAD00001011232 Illumina HiSeq 2500 1
EGAD00001011233 Illumina HiSeq 2500 1
EGAD00001011234 Illumina HiSeq 2500 1
EGAD00001011235 Illumina HiSeq 2500 1
EGAD00001011236 Illumina HiSeq 2500 1
EGAD00001011237 Illumina HiSeq 2500 1
EGAD00001011238 Illumina HiSeq 2500 1
EGAD00001011239 Illumina HiSeq 2500 1
EGAD00001011240 Illumina HiSeq 2500 1
EGAD00001011241 HiSeq X Ten Illumina HiSeq 2500 1
EGAD00001011242 HiSeq X Ten Illumina HiSeq 2500 1
EGAD00001011243 Illumina HiSeq 2500 1
EGAD00001011244 NextSeq 500 1
EGAD00001011245 NextSeq 500 1
EGAD00001011246 Illumina HiSeq 2500 1
EGAD00001011247 Illumina HiSeq 2500 1
EGAD00001011248 Illumina HiSeq 2500 1
EGAD00001011249 Illumina HiSeq 2500 1
EGAD00001011250 Illumina HiSeq 2500 1
EGAD00001011251 Illumina HiSeq 2500 1
EGAD00001011252 Illumina HiSeq 2500 1
EGAD00001011253 NextSeq 500 1
EGAD00001011254 Illumina HiSeq 2500 1
EGAD00001011268 NextSeq 500 1
Publications Citations
Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers.
Genome Biol 25: 2024 191
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