Copyright ©The Author(s) 2018.
World J Stem Cells. Nov 26, 2018; 10(11): 160-171
Published online Nov 26, 2018. doi: 10.4252/wjsc.v10.i11.160
Table 1 Single-cell sequencing studies on variety of human tumors
Tumor typeSourcePlatformMajor findingRef.
Bladder cancerSquamous cell carcinomaRNA-seqCellular heterogeneity in the gene expression affects the disease outcome[73]
Muscle-invasive cell carcinomaSNV-seqLineage-specific mutations are driving cancer initiation and progress[74]
Blood cancerB-cell ALLCNV-seqCNVs were developed as an impact of environmental stressors, which was only detectable at single-cell level[75]
Pediatric ALLSNV-seqAnalysis revealed clonal somatic mutational prevalence at single-cell resolution[76]
Therapy resistant AMLRNA-seqIdentified molecular signature of resistant LSCs versus therapy-naive LSCs[77]
Secondary AMLSNV-seqGenomic complexity was identified at single cells which was not seen at bulk leukemic populations[78]
CMLRNA-seqSingle-cell analysis uncovered molecular signature of LSCs[57]
JAK2 negative MPNSNV-seqLarge genetic distances was observed between mono-clonal tumor cells[79]
JAK2V617F MPNRNA-seqSingle-cell sequencing revealed the molecular networks driving self-renewal of CSCs[80]
Brain cancerEGFR amplified GBMCNV-seqHeterogeneity in EGFR mutations among different tumor cells leading to variation in therapy response[81]
GBMRNA-seqHeterogeneity in gene expression panthers was identified including EGFR gene[82]
Breast cancerER+CNV-seqShowed clonal evolution of tumor cells at single-cell resolution[83]
HER2+RNA-seq404 differentially expressed gene signature was identified in CSCs, which had a prognostic value[84]
MDA-MB-231 and CN34 cell linesRNA-seqGene expression profiling identifies small sub-population with more metastatic potential, which was therapy resistant.[85]
TNBCCNV-seqShowed clonal evolution of tumor cells at single-cell level. Also, chemo-resistance evolution in TNBC was identified[86,87]
TNBC or ER+ HER2-SNV-seq CNV-seqER+ HER2- tumors represented significantly less mutational rate compared to TNBC tumors[88]
Colorectal cancerColon tumor and adjacent normal cellsSNV-seqDifferent mutational profiles were identified among tumors’ sub-populations[89]
Colon tumorCNV-seqCSCs (EpCAMhighCD44+) and DTCs (EpCAMhighCD44-) had similar somatic CNV pattern, while they had regional differences[90]
Rectal tumorCNV-seqMulti-region single-cell analysis showed somatic copy number alterations are an early event in cancer development[91]
Kidney cancerccRCC primary carcinoma and paired metastasisRNA-seqHeterogeneity in the expression of targetable genes was identified. The finding highlights the necessity of multi-agent therapies[92]
Lung cancerNSCLCRNA-seqCharacterization of tumor-infiltrating T cells revealed that inter-tissue effector T cells with a highly migratory nature[93]
Clear cell renal cell carcinomaSNV-seqA complex mutational pattern was observed at single-cells compared to bulk tumors[94]
Adenocarcinoma PDXRNA-seqSingle-cell sequencing identified KRAS+ drug resistant cell population within the tumor[95]
LC2/ad and LC2/ad-R cell linesRNA-seqGene expression profiling identifies signature that is linked to therapy resistance[96]
Ovarian cancerHGSOCRNA-seqSingle-cell analysis could distinguish two major sub-populations within the tumor based on their gene expression signature[56]