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©The Author(s) 2019.
World J Gastroenterol. Jan 7, 2019; 25(1): 118-137
Published online Jan 7, 2019. doi: 10.3748/wjg.v25.i1.118
Published online Jan 7, 2019. doi: 10.3748/wjg.v25.i1.118
Table 1 Predictive factors for complete pathological response in univariate logistic regression analysis for all patients
Variable | Non-pCR (n = 331) n P50 (P25-P75) | pCR (n = 72) n P50 (P25-P75) | pCR rate | P-value | |
Gender | Male | 232 | 49 | 17.44% | 0.653 |
Female | 96 | 23 | 19.33% | ||
Age (yr) | ≤ 60 | 210 | 54 | 20.45% | 0.07 |
> 60 | 119 | 18 | 13.14% | ||
BMI (kg/cm2) | < 25 | 231 | 53 | 18.66% | 0.581 |
≥ 25 | 78 | 15 | 16.13% | ||
Hemoglobin (g/L) | ≤ 125 | 109 | 16 | 12.80% | 0.126 |
> 125 | 172 | 41 | 19.25% | ||
NLR | > 3 | 37 | 11 | 22.92% | 0.227 |
≤ 3 | 244 | 46 | 15.86% | ||
Platelet (× 109/L) | 237.5 (200.25-286.75) | 246 (200.5-268.5) | 0.981 | ||
ApoA1 (g/L) | 1.29 (1.13-1.44) | 1.3 (1.15-1.52) | 0.454 | ||
ApoB (g/L) | 0.98 (0.79-1.14) | 0.97 (0.82-1.19) | 0.382 | ||
The interval (d) | 39 (22.25-54) | 50 (42-56.5) | 0 | ||
CEA (ng/mL) | > 5 | 163 | 28 | 14.66% | 0.217 |
≤ 5 | 118 | 29 | 19.73% | ||
Differentiation | Moderate-poor | 274 | 44 | 13.84% | 0.001 |
Well | 44 | 20 | 31.25% | ||
DTAV (cm) | < 5 | 140 | 41 | 22.65% | 0.024 |
≥ 5 | 191 | 31 | 13.96% | ||
TL (cm) | > 3 | 237 | 41 | 14.75% | 0.001 |
≤ 3 | 73 | 30 | 29.13% | ||
TCE | < 50% | 37 | 7 | 15.91% | 0.772 |
≥ 50% | 256 | 55 | 17.68% | ||
cT | 2 | 16 | 5 | 23.81% | 0.405 |
3 | 234 | 56 | 19.31% | ||
4 | 54 | 8 | 12.90% | ||
cN | + | 235 | 57 | 19.52% | 0.465 |
- | 78 | 15 | 16.13% | ||
MRF | - | 231 | 61 | 20.89% | 0.013 |
+ | 97 | 11 | 10.19% | ||
NT regimen | Capecitabine/de Gramont-RT | 102 | 13 | 11.30% | 0 |
mFOLFOX6 | 148 | 14 | 8.64% | ||
mFOLFOX6-RT | 81 | 45 | 35.71% |
Table 2 Predictive factors for complete pathological response in multivariate logistic regression analysis for all patients
Variable | P-value | OR | 95%CI | |
Age (yr) | ≤ 60 | 0.703 | 0.873 | 0.434-1.756 |
> 60 | 1 | |||
Differentiation | Well | 0.003 | 2.966 | 1.449-6.069 |
Moderate-poor | 1 | |||
TL (cm) | ≤ 3 | 0.004 | 2.608 | 1.347-5.052 |
> 3 | 1 | |||
DTAV | ≥ 5 | 0.07 | 0.56 | 0.299-1.049 |
< 5 | 1 | |||
MRF | - | 0.017 | 2.729 | 1.199-6.211 |
+ | 1 | |||
NT regimen | mFOLFOX6-RT | 0 | 5.339 | 2.394-11.903 |
mFOLFOX6 | 0.402 | 1.821 | 0.449-7.387 | |
Capecitabine/de Gramont-RT | 1 | |||
The interval | 0.093 | 1.029 | 0.995-1.064 |
Table 3 Predictive factors for good downstaging in univariate logistic regression analysis for all patients
Variable | Bad downstaging (n = 226) n P50 (P25-P75) | Good downstaging (n = 177) n P50 (P25-P75) | Good downstaging rate | P-value | |
Gender | Male | 164 | 117 | 41.64% | 0.106 |
Female | 59 | 60 | 50.42% | ||
Age (yr) | ≤ 60 | 144 | 120 | 45.45% | 0.462 |
> 60 | 80 | 57 | 41.61% | ||
BMI (kg/cm2) | < 25 | 159 | 125 | 44.01% | 0.475 |
≥ 25 | 56 | 37 | 39.78% | ||
Hemoglobin (g/L) | ≤ 125 | 69 | 56 | 44.80% | 0.426 |
> 125 | 127 | 86 | 40.38% | ||
NLR | > 3 | 27 | 21 | 43.75% | 0.792 |
≤ 3 | 169 | 121 | 41.72% | ||
Platelet (×109/L) | 241 (207-294) | 236 (193-272.25) | 0.125 | ||
ApoA1 (g/L) | 1.27 (1.13-1.44) | 1.31 (1.15-1.48) | 0.228 | ||
ApoB (g/L) | 0.98 (0.79-1.13) | 0.97 (0.79-1.18) | 0.88 | ||
The interval | 39 (23-54) | 48 (25.75-55) | 0.062 | ||
CEA (ng/mL) | > 5 | 125 | 66 | 34.55% | 0.002 |
≤ 5 | 71 | 76 | 51.70% | ||
Differentiation | Moderate-poor | 194 | 124 | 38.99% | 0 |
Well | 20 | 44 | 68.75% | ||
DTAV (cm) | < 5 | 85 | 96 | 53.04% | 0.001 |
≥ 5 | 141 | 81 | 36.49% | ||
TL (cm) | > 3 | 167 | 111 | 39.93% | 0.002 |
≤ 3 | 44 | 59 | 57.28% | ||
TCE | < 50% | 23 | 21 | 47.73% | 0.508 |
≥ 50% | 179 | 132 | 42.44% | ||
cT | 2 | 4 | 17 | 80.95% | 0 |
3 | 160 | 130 | 44.83% | ||
4 | 46 | 16 | 25.81% | ||
cN | + | 166 | 126 | 43.15% | 0.074 |
- | 43 | 50 | 53.76% | ||
MRF | - | 142 | 150 | 51.37% | 0 |
+ | 81 | 27 | 25.00% | ||
NT regimen | Capecitabine/de Gramont-RT | 64 | 51 | 44.35% | 0.061 |
mFOLFOX6-RT | 61 | 65 | 51.59% | ||
mFOLFOX6 | 101 | 61 | 37.65% |
Table 4 Predictive factors for good downstaging in multivariate logistic regression analysis for all patients
Variable | P-value | OR | 95%CI | |
CEA (ng/mL) | ≤ 5 | 0.095 | 1.565 | 0.925-2.647 |
> 5 | 1 | |||
Differentiation | Well | 0 | 4.814 | 2.343-9.892 |
Moderate-poor | 1 | |||
DTAV (cm) | ≥ 5 | 0.052 | 0.588 | 0.345-1.004 |
< 5 | 1 | |||
TL (cm) | ≤ 3 | 0.9 | 1.04 | 0.566-1.909 |
> 3 | 1 | |||
cT | 3 | 0.046 | 0.248 | 0.063-0.974 |
4 | 0.127 | 0.282 | 0.056-1.434 | |
2 | 1 | |||
MRF | - | 0 | 4.226 | 1.894-9.426 |
+ | 1 |
Table 5 Distribution of pretreatment clinical parameters in different neoadjuvant therapy regimen groups
Variable | Capecitabine/deGramont-RT n (%) P50 (P25-P75) | mFOLFOX6 n (%) P50 (P25-P75) | mFOLFOX6-RT n (%) P50 (P25-P75) | P-value | |
Gender | Male | 76 (66.67) | 107 (66.88) | 98 (77.78) | 0.083 |
Female | 38 (33.33) | 53 (33.13) | 28 (22.22) | ||
Age (yr) | ≤ 60 | 66 (57.39) | 102 (63.75) | 96 (76.19) | 0.007 |
> 60 | 49 (42.61) | 58 (36.25) | 30 (23.81) | ||
BMI (kg/cm2) | < 25 | 83 (76.85) | 118 (76.62) | 83 (72.17) | 0.641 |
≥ 25 | 25 (23.15) | 36 (23.38) | 32 (27.83) | ||
Hemoglobin (g/L) | ≤ 125 | 34 (34.34) | 55 (39.29) | 36 (36.36) | 0.729 |
> 125 | 65 (65.66) | 85 (60.71) | 63 (63.64) | ||
NLR | > 3 | 16 (16.16) | 17 (12.14) | 15 (15.15) | 0.646 |
≤ 3 | 83 (83.84) | 123 (87.86) | 84 (84.85) | ||
CEA (ng/mL) | > 5 | 56 (56.57) | 79 (56.43) | 56 (56.57) | 1 |
≤ 5 | 43 (43.43) | 61 (43.57) | 43 (43.43) | ||
Differentiation | Moderate-poor | 90 (81.08) | 135 (87.1) | 93 (80.17) | 0.246 |
Well | 21 (18.92) | 20 (12.9) | 23 (19.83) | ||
DTAV (cm) | < 5 | 61 (53.04) | 62 (38.27) | 58 (46.03) | 0.049 |
≥ 5 | 54 (46.96) | 100 (61.73) | 68 (53.97) | ||
TL (cm) | > 3 | 82 (74.55) | 105 (70) | 91 (75.21) | 0.572 |
≤ 3 | 28 (25.45) | 45 (30) | 30 (24.79) | ||
TCE | < 50% | 10 (10) | 22 (15.28) | 12 (10.81) | 0.389 |
≥ 50% | 90 (90) | 122 (84.72) | 99 (89.19) | ||
cN | + | 84 (75) | 110 (73.33) | 98 (79.67) | 0.462 |
- | 28 (25) | 40 (26.67) | 25 (20.33) | ||
MRF | - | 85 (74.56) | 119 (74.38) | 88 (69.84) | 0.627 |
+ | 29 (25.44) | 41 (25.63) | 38 (30.16) | ||
pCR | Non-pCR | 102 (88.7) | 148 (91.36) | 81 (64.29) | 0 |
pCR | 13 (11.3) | 14 (8.64) | 45 (35.71) | ||
Downstaging | Bad | 64 (55.65) | 101 (62.35) | 61 (48.41) | 0.061 |
Good | 51 (44.35) | 61 (37.65) | 65 (51.59) | ||
cT | 2 | 9 (8.26) | 10 (6.85) | 2 (1.69) | 0.19 |
3 | 85 (77.98) | 112 (76.71) | 93 (78.81) | ||
4 | 15 (13.76) | 24 (16.44) | 23 (19.49) | ||
PLT (×109/L) | 230 (188.75-267.25) | 236.5 (200.25-290.75) | 244 (212-281) | 0.168 | |
ApoA1 (g/L) | 1.31 (1.14-1.47) | 1.29 (1.12-1.44) | 1.28 (1.15-1.5) | 0.73 | |
ApoB (g/L) | 0.97 (0.8-1.09) | 0.98 (0.78-1.14) | 0.98 (0.81-1.21) | 0.425 | |
The interval | 54 (49-58.25) | 22 (18-25.75) | 52 (47-59) | 0 |
Table 6 Predictive factors for complete pathological response in univariate logistic regression analysis for the capecitabine/deGramont-RT regimen
Variable | Non-pCR (n = 102) n P50 (P25-P75) | pCR (n = 13) n P50 (P25-P75) | pCR rate | P-value | |
Gender | Male | 70 | 6 | 7.89% | 0.096 |
Female | 31 | 7 | 18.42% | ||
Age (yr) | ≤ 60 | 56 | 10 | 15.15% | 0.131 |
> 60 | 46 | 3 | 6.12% | ||
BMI (kg/cm2) | < 25 | 75 | 8 | 9.64% | 0.375 |
≥ 25 | 21 | 4 | 16.00% | ||
Hemoglobin (g/L) | ≤ 125 | 33 | 1 | 2.94% | 0.087 |
> 125 | 56 | 9 | 13.85% | ||
NLR | > 3 | 12 | 4 | 25.00% | 0.031 |
≤ 3 | 77 | 6 | 7.23% | ||
PLT (×109/L) | 228 (188.25-266.75) | 252 (188.75-319) | 0.338 | ||
ApoA1 (g/L) | 1.3 (1.14-1.48) | 1.34 (1.11-1.46) | 0.912 | ||
ApoB (g/L) | 0.97 (0.8-1.09) | 0.92 (0.78-1.02) | 0.667 | ||
The interval | 53.97 ± 8.94 | 52.38 ± 10.79 | 0.588 | ||
CEA (ng/mL) | > 5 | 51 | 5 | 8.93% | 0.659 |
≤ 5 | 38 | 5 | 11.63% | ||
Differentiation | Moderate-poor | 82 | 8 | 8.89% | 0.177 |
Well | 17 | 4 | 19.05% | ||
DTAV (cm) | < 5 | 52 | 9 | 14.75% | 0.214 |
≥ 5 | 50 | 4 | 7.41% | ||
TL (cm) | > 3 | 74 | 8 | 9.76% | 0.252 |
≤ 3 | 23 | 5 | 17.86% | ||
TCE | ≤ 50% | 10 | 0 | 0.00% | 0.241 |
> 50% | 79 | 11 | 12.22% | ||
cT | 2 | 7 | 2 | 22.22% | 0.521 |
3 | 75 | 10 | 11.76% | ||
4 | 14 | 1 | 6.67% | ||
cN | + | 73 | 11 | 13.10% | 0.394 |
- | 26 | 2 | 7.14% | ||
MRF | - | 74 | 11 | 12.94% | 0.377 |
+ | 27 | 2 | 6.90% |
Table 7 Predictive factors for complete pathological response in multivariate logistic regression analysis for the capecitabine/deGramont-RT regimen
Variable | P value | OR | 95%CI | |
NLR | > 3 | 0.042 | 4.278 | 1.051-17.413 |
≤ 3 | 1 |
Table 8 Predictive factors for complete pathological response in univariate logistic regression analysis for the mFOLFOX6-RT regimen
Variable | Non-pCR (n = 81) n P50 (P25-P75) | pCR (n = 45) n P50 (P25-P75) | pCR rate | P-value | |
Gender | Male | 63 | 35 | 35.71% | 1 |
Female | 18 | 10 | 35.71% | ||
Age (yr) | ≤ 60 | 62 | 34 | 35.42% | 0.901 |
> 60 | 19 | 11 | 36.67% | ||
BMI (kg/cm2) | < 25 | 49 | 34 | 40.96% | 0.202 |
≥ 25 | 23 | 9 | 28.13% | ||
Hemoglobin (g/L) | ≤ 125 | 23 | 13 | 36.11% | 0.905 |
> 125 | 41 | 22 | 34.92% | ||
NLR | > 3 | 9 | 6 | 40.00% | 0.683 |
≤ 3 | 55 | 29 | 34.52% | ||
PLT (×109/L) | 246.5 (214.25-289.75) | 239 (197-269) | 0.22 | ||
ApoA1 (g/L) | 1.26 (1.15-1.44) | 1.3 (1.15-1.55) | 0.453 | ||
ApoB (g/L) | 1 (0.81-1.24) | 0.97 (0.81-1.17) | 0.725 | ||
The interval | 51.5 (43-58.75) | 54 (50-62) | 0.116 | ||
CEA (ng/mL) | > 5 | 40 | 16 | 28.57% | 0.107 |
≤ 5 | 24 | 19 | 44.19% | ||
Differentiation | Moderate-poor | 63 | 30 | 32.26% | 0.311 |
Well | 13 | 10 | 43.48% | ||
DTAV (cm) | < 5 | 33 | 25 | 43.10% | 0.11 |
≥ 5 | 48 | 20 | 29.41% | ||
TL (cm) | > 3 | 64 | 27 | 29.67% | 0.008 |
≤ 3 | 13 | 17 | 56.67% | ||
TCE | < 50% | 8 | 4 | 33.33% | 0.944 |
≥ 50% | 65 | 34 | 34.34% | ||
cT | 2 | 0 | 2 | 100.00% | 0.061 |
3 | 58 | 35 | 37.63% | ||
4 | 18 | 5 | 21.74% | ||
cN | + | 62 | 36 | 36.73% | 0.946 |
- | 16 | 9 | 36.00% | ||
MRF | - | 49 | 39 | 44.32% | 0.002 |
+ | 32 | 6 | 15.79% |
Table 9 Predictive factors for complete pathological response in multivariate logistic regression analysis for the mFOLFOX6-RT regimen
Variable | P value | OR | 95%CI | |
TL (cm) | ≤ 3 | 0.046 | 2.452 | 1.015-5.926 |
> 3 | 1 | |||
MRF | - | 0.008 | 3.829 | 1.42-10.325 |
+ | 1 |
Table 10 Predictive factors for complete pathological response in univariate logistic regression analysis for the mFOLFOX6 regimen
Variable | Non-pCR (n = 148) n P50 (P25-P75) | pCR (n = 14) n P50 (P25-P75) | pCR rate | P-value | |
Gender | Male | 99 | 8 | 7.48% | 0.418 |
Female | 47 | 6 | 11.32% | ||
Age (yr) | ≤ 60 | 92 | 10 | 9.80% | 0.532 |
> 60 | 54 | 4 | 6.90% | ||
BMI (kg/cm2) | < 25 | 107 | 11 | 9.32% | 0.477 |
≥ 25 | 34 | 2 | 5.56% | ||
Hemoglobin (g/L) | ≤ 125 | 53 | 2 | 3.64% | 0.093 |
> 125 | 75 | 10 | 11.76% | ||
NLR | > 3 | 16 | 1 | 5.88% | 0.673 |
≤ 3 | 112 | 11 | 8.94% | ||
PLT (×109/L) | 127.5 (117.5-139) | 137.5 (127-142.25) | 0.82 | ||
ApoA1 (g/L) | 1.28 (1.11-1.42) | 1.3 (1.15-1.46) | 0.542 | ||
ApoB (g/L) | 0.96 (0.77-1.13) | 1.13 (0.86-1.3) | 0.051 | ||
The interval | 21.5 (18-25) | 25 (19.25-26.75) | 0.09 | ||
CEA (ng/mL) | > 5 | 72 | 7 | 8.86% | 0.889 |
≤ 5 | 56 | 5 | 8.20% | ||
Differentiation | Moderate-poor | 129 | 6 | 4.44% | 0 |
Well | 14 | 6 | 30.00% | ||
DTAV (cm) | < 5 | 55 | 7 | 11.29% | 0.345 |
≥ 5 | 93 | 7 | 7.00% | ||
TL (cm) | > 3 | 99 | 6 | 5.71% | 0.02 |
≤ 3 | 37 | 8 | 17.78% | ||
TCE | < 50% | 19 | 3 | 13.64% | 0.413 |
≥ 50% | 112 | 10 | 8.20% | ||
cT | 2 | 9 | 1 | 10.00% | 0.974 |
3 | 101 | 11 | 9.82% | ||
4 | 22 | 2 | 8.33% | ||
cN | + | 100 | 10 | 9.09% | 0.866 |
- | 36 | 4 | 10.00% | ||
MRF | - | 108 | 11 | 9.24% | 0.707 |
+ | 38 | 3 | 7.32% |
Table 11 Predictive factors for complete pathological response in multivariate logistic regression analysis for the mFOLFOX6 regimen
Variable | P-value | OR | 95%CI | |
Differentiation | Well | 0.002 | 8.881 | 2.263-34.85 |
Moderate-poor | 1 | |||
TL | ≤ 3 | 0.022 | 4.805 | 1.25-18.466 |
> 3 | 1 |
- Citation: Ren DL, Li J, Yu HC, Peng SY, Lin WD, Wang XL, Ghoorun RA, Luo YX. Nomograms for predicting pathological response to neoadjuvant treatments in patients with rectal cancer. World J Gastroenterol 2019; 25(1): 118-137
- URL: https://www.wjgnet.com/1007-9327/full/v25/i1/118.htm
- DOI: https://dx.doi.org/10.3748/wjg.v25.i1.118