| Literature DB >> 33381167 |
Qi Zou1,2, Donglin Ren1,2, Xiaolin Wang1, Liangliang Bai1, Guannan Tang1, Meijin Huang1,3, Yanxin Luo3, Huichuan Yu1.
Abstract
BACKGROUND: The interventions for hemorrhoid increase access to rectal cancer screening and thus might reduce cancer death. We aimed to examine the impact of hemorrhoid on survival outcomes in rectal cancer.Entities:
Year: 2020 PMID: 33381167 PMCID: PMC7749767 DOI: 10.1155/2020/5045142
Source DB: PubMed Journal: Gastroenterol Res Pract ISSN: 1687-6121 Impact factor: 2.260
Figure 1Flow diagram of patients disposition in the association analysis between hemorrhoid history and outcomes in rectal cancer.
Distribution of baseline characteristics between patients with and without previous history of hemorrhoid.
| Characteristic | Overall population | Previous history of hemorrhoid |
| |
|---|---|---|---|---|
| No | Yes | |||
| ( | ( | ( | ||
| Age-yr, median (range) | 59 (21-89) | 59 (21-89) | 61 (33-77) | 0.942 |
| BMI, median (range) | 22.1 (13.3-35.9) | 22.1 (13.3-35.9) | 22.4 (16.6-30.3) | 0.971 |
| Sex | 0.533 | |||
| Male | 295 (57.8) | 267 (57.4) | 28 (62.2) | |
| Female | 215 (42.2) | 198 (42.6) | 17 (37.8) | |
| Patient-reported symptoms | ||||
| Blood stools | 352 (69.0) | 318 (68.4) | 34 (75.6) | 0.321 |
| Bowel habits change | 110 (21.6) | 101 (21.7) | 9 (20.0) | 0.789 |
| Stools shape change | 65 (12.7) | 59 (12.7) | 6 (13.3) | 0.901 |
| Abdominal pain | 36 (7.1) | 32 (6.9) | 4 (8.9) | 0.616 |
| Time to symptom onset | 0.964 | |||
| 0-6 months | 348 (69.2) | 317 (69.2) | 31 (68.9) | |
| >6 months | 155 (30.8) | 141 (30.8) | 14 (31.1) | |
| Tumor location: distance from anal verge | 0.453 | |||
| 0-5 cm | 207 (38.5) | 192 (39.0) | 15 (33.3) | |
| 5-12 cm | 330 (61.5) | 300 (61.0) | 30 (66.7) | |
| Tumor location: orientation | ||||
| Anterior wall | 72 (14.1) | 66 (14.2) | 6 (13.3) | 0.874 |
| Posterior wall | 86 (16.9) | 83 (17.8) | 3 (6.7) | 0.056 |
| Lateral wall | 45 (8.8) | 38 (8.2) | 7 (15.6) | 0.101 |
| Circumferential | 124 (24.3) | 112 (24.1) | 12 (26.7) | 0.700 |
| TNM stage, AJCC | 0.049∗ | |||
| I-II | 292 (57.3) | 260 (55.9) | 32 (71.1) | |
| III | 218 (42.7) | 205 (44.1) | 13 (28.9) | |
| T stage | 0.100 | |||
| T1-2 | 160 (31.4) | 141 (30.3) | 19 (42.2) | |
| T3-4 | 350 (68.6) | 324 (69.7) | 26 (57.8) | |
| Differentiation degree | 0.192 | |||
| Low | 94 (19.1) | 89 (19.8) | 5 (11.6) | |
| Moderate/high | 398 (80.9) | 360 (80.2) | 38 (88.4) | |
| Lymphovascular invasion | 0.787 | |||
| Negative | 463 (90.8) | 421 (90.5) | 42 (93.3) | |
| Positive | 47 (9.2) | 44 (9.5) | 3 (6.7) | |
| Perineural invasion | 0.109 | |||
| Negative | 460 (90.2) | 416 (89.5) | 44 (97.8) | |
| Positive | 50 (9.8) | 49 (10.5) | 1 (2.2) | |
| Preoperative CEA | 0.849 | |||
| 0-5 ng/mL | 327 (69.4) | 298 (69.3) | 29 (70.7) | |
| >5 ng/mL | 144 (30.6) | 132 (30.7) | 12 (29.3) | |
| Preoperative neutrophil-to-lymphocyte ratio | 0.620 | |||
| <3 | 389 (78.9) | 353 (78.6) | 36 (81.8) | |
| >/=3 | 104 (21.1) | 96 (21.4) | 8 (18.2) | |
| Preoperative platelet-to-lymphocyte ratio | 0.732 | |||
| 0-100 | 147 (29.5) | 135 (29.7) | 12 (27.3) | |
| >100 | 351 (70.5) | 319 (70.3) | 32 (72.7) | |
| Adjuvant treatment | 0.305 | |||
| No | 228 (46.1) | 204 (45.3) | 24 (53.3) | |
| Yes | 267 (53.9) | 246 (54.7) | 21 (46.7) | |
| Neoadjuvant treatment | 0.060 | |||
| No | 432 (86.4) | 389 (85.5) | 43 (95.6) | |
| Yes | 68 (13.6) | 66 (14.5) | 2 (4.4) | |
BMI: body mass index; CEA: carcinoembryonic antigen.
Short-term and long-term outcomes after curative resection in patients with and without previous history of hemorrhoid.
| Clinical outcomes | Overall population | Previous history of hemorrhoid |
| |
|---|---|---|---|---|
| No | Yes | |||
| ( | ( | ( | ||
| Anastomotic complication1 | 0.615 | |||
| No | 443 (86.9) | 405 (87.1) | 38 (84.4) | |
| Yes | 67 (13.1) | 60 (12.9) | 7 (15.6) | |
| Anastomotic leakage | 0.349 | |||
| No | 475 (93.1) | 431 (92.7) | 44 (97.8) | |
| Yes | 35 (6.9) | 34 (7.3) | 1 (2.2) | |
| Postoperative fever2 | 0.569 | |||
| No | 355 (69.6) | 322 (69.2) | 33 (73.3) | |
| Yes | 155 (30.4) | 143 (30.8) | 12 (26.7) | |
| Pelvic abscess | 1.000 | |||
| No | 490 (96.1) | 446 (95.9) | 44 (97.8) | |
| Yes | 20 (3.9) | 19 (4.1) | 1 (2.2) | |
| Alive status | 0.032∗ | |||
| Alive | 401 (78.6) | 360 (77.4) | 41 (91.1) | |
| Death | 109 (21.4) | 105 (22.6) | 4 (8.9) | |
| Total recurrence3 | 0.023∗ | |||
| No | 368 (72.2) | 329 (70.8) | 39 (86.7) | |
| Yes | 142 (27.8) | 136 (29.2) | 6 (13.3) | |
| Local recurrence | 0.679 | |||
| No | 442 (89.3) | 401 (89.1) | 41 (91.1) | |
| Yes | 53 (10.7) | 49 (10.9) | 4 (8.9) | |
| Distant metastasis | 0.047∗ | |||
| No | 395 (79.8) | 354 (78.7) | 41 (91.1) | |
| Yes | 100 (20.2) | 96 (21.3) | 4 (8.9) | |
∗ Statistically significant P value. (1) Anastomotic complication refers to anastomotic leakage, bleeding, or stenosis after operation in this study. (2) Postoperative fever was defined as a body temperature ≥38.5°C within seven days after operation. (3) Total recurrence refers to patients with local recurrence and/or distant metastasis during follow-up after operation.
Univariate analysis of prognostic factors for DFS and OS.
| Prognostic factors | Disease-free survival | Overall survival | ||||
|---|---|---|---|---|---|---|
| 3-year rate (%) | HR (95% CI) |
| 3-year rate (%) | HR (95% CI) |
| |
| Age | — | 1.00 (0.99-1.02) | 0.185 | — | 1.03 (1.01-1.04) | <0.001 |
| TNM stage | ||||||
| III | 61.6 | 2.61 (1.86-3.66) | <0.001 | 77.5 | 2.75 (1.85-4.09) | <0.001 |
| I-II | 83.2 | 1 | 89.8 | 1 | ||
| Differentiation degree | ||||||
| Low | 58.1 | 1.98 (1.37-2.88) | <0.001 | 74.4 | 2.22 (1.47-3.36) | <0.001 |
| Moderate/high | 77.4 | 1 | 87.2 | 1 | ||
| Lymphovascular invasion | ||||||
| Positive | 52.7 | 2.41 (1.54-3.77) | <0.001 | 69.6 | 2.60 (1.61-4.19) | <0.001 |
| Negative | 76.1 | 1 | 86.1 | 1 | ||
| Perineural invasion | ||||||
| Positive | 33.8 | 2.41 (1.54-3.79) | <0.001 | 74.5 | 1.84 (1.05-3.24) | 0.033 |
| Negative | 73.4 | 1 | 85.6 | 1 | ||
| Preoperative CEA | ||||||
| >5 ng/ml | 64.7 | 1.78 (1.25-2.53) | 0.001 | 76.4 | 1.94 (1.29-2.91) | <0.001 |
| 0-5 ng/ml | 78.5 | 1 | 90.2 | 1 | ||
| Hemorrhoid history | ||||||
| Yes | 86.4 | 0.39 (0.17-0.88) | 0.018 | 95.3 | 0.33 (0.12-0.92) | 0.034 |
| No | 72.8 | 1 | 83.5 | 1 | ||
The Cox survival analysis has been applied to all clinicopathological variables, and only significant results were shown in this table. CEA: carcinoembryonic antigen; HR: hazard ratio; CI: confidential interval.
Figure 2Kaplan–Meier survival curves of rectal cancer patients with or without hemorrhoid history. The curves showed significantly higher DFS (a) and OS (b) outcomes in the hemorrhoid group compared to the nonhemorrhoid group. Log-rank test P values and hazard ratios (HRs) with 95% CI are given in each plot. DFS: disease-free survival; OS: overall survival.
Figure 3Multivariate analysis of prognostic factors for DFS and OS. The forest plot for the hazard ratios and 95% confidence intervals of each predictor in the multivariate Cox model for DFS and OS. CEA: carcinoembryonic antigen. HR: hazard ratio; CI: confidential interval.
Figure 4The association of hemorrhoid and survival outcomes in the early-stage subset. The Kaplan-Meier survival curves showed hemorrhoid group still had better DFS and OS outcomes in stage I-II subsets, although the Log-rank test was not significant. DFS: disease-free survival; OS: overall survival.
Figure 5A nomogram and calibration curve for prediction of disease-free survival in rectal cancer. (a) A nomogram to predict individual patient-level 3-year and 5-year DFS based on hemorrhoid history and other clinicopathological risk factors. (b) Calibration plots for the internal validation of the nomogram. The observed DFS estimated by Kaplan-Meier was plotted against nomogram-predicted probability of DFS. 95% confidence intervals of the Kaplan-Meier estimates were indicated with vertical lines. Grayline indicated the reference line, showing where an ideal nomogram would lie. DFS: disease-free survival.