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. 2017 May 2;8(28):46071–46080. doi: 10.18632/oncotarget.17551

Table 1. Patients information.

Patient Gender Age Tumor type Clinical stage Tumor size IHC
1 Female 58 Invasive breast carcinoma pT2N0 3.0×2.8×2.0cm CK5&6(−), E-cadherin(1+), EGFR(−), ER(+,95%), HER2(2+), Ki-67(+,30%), P53(−), PR(+, 60%), TOP2A(2+)
2 Female 53 Invasive breast carcinoma pT1cN0 1.2×1.2×1.0cm CK5&6(−), E-cadherin(2+), EGFR(−), ER(+, >90%), HER2(1+), Ki-67(+, 25%), PR(+, 10%)
3 Female 54 Invasive breast carcinoma pT1cN0 1.5×1.2×1.2cm CK5&6(−), E-cadherin(2+), EGFR(−), ER(+80%), HER2(2+), Ki-67(+20-30%), P53(−), PR(+10%), TOP2A(1+)
4 Female 47 Invasive lobular carcinoma pT1cN0 1.4×1.2×1.2cm CK5&6(−), E-cadherin(−), EGFR(−), ER(+, >95%), HER2(1+), Ki-67(+, 10%), P53(−), PR(+, >95%), TOP2A(1+)
5 Female 64 Invasive breast carcinoma pT1N0 1.8×1.5×1.3cm CK5&6(−), E-cadherin(1+), EGFR(−), ER(+80%), HER2(1+), Ki-67(+40%), P53(−), PR(+, <10%), TOP2A(2+)
6 Female 38 Invasive breast carcinoma pT1cN0 1.8×1.5×1.3cm CK5&6(−), E-cadherin(3+), EGFR(−), ER(+, 80%), HER2(1+), Ki-67(20%+), P53(−), PR(+, 80%), TOP2A(10%+)
7 Female 38 Invasive breast cancer with focal DCIS pT1N0 2.2×1.8×1.3cm CK5&6(−), E-cadherin(3+), EGFR(−), ER(+, >90%), HER2(1+), Ki-67(+5%), P53(−), PR(+, 25%)
8 Female 43 Invasive breast cancer with focal DCIS pT1bN0 1.0×0.5×0.5cm CK5&6(−), E-cadherin(2+), EGFR(−), ER(+, >90%), HER2(1+), Ki-67(+, 30%), P53(2+), PR(+, 70%), TOP2A(1+)
9 Female 63 Invasive ductal carcinoma pT1N0 1.8×1.3×1.1cm CK5/6(−), E-cad(2+), EGFR(1+), ER(+90%), HER2(2+), Ki-67(+, 30%), P53(−), PR(+1-10%), Top2A(1+)
10 Female 57 Invasive breast carcinoma pT1N0 1.3×1.0×1.0cm CK5&6(−), E-cadherin(2+), EGFR(−), ER(80%), HER2(1+), Ki-67(30%), P53(+), PR(80%), TOP2A(1+)
11 Female 53 Invasive breast carcinoma pT1cN0 1.4×1.4×1.2cm CK5&6(−), E-cadherin(3+), EGFR(−), ER(+, >95%), HER2(−), Ki-67(+, 30%), P53(−), PR(+, 80%), TOP2A(2+)

To calculate the recurrence score, we converted the relative transcripts expression fold from both RT-MLPSeq method and RT-qPCR method to ΔCt value (−log2) and finally obtained the RS value based on the algorithm presented by Paik, Shak, Tang, et al. in which ΔCt values from real time PCR system were used as input data [3]. As shown in Figure 6, recurrence scores from RT-MLPSeq was highly consistent with RT-qPCR results (R2=0.9309).