Abstract
Background
Although obesity is an established risk factor for developing colon cancer, its prognostic impact and relationship to patient sex in colon cancer survivors remains unclear.
Methods
We examined the prognostic and predictive impact of the body mass index (BMI) in stage II and III colon carcinoma patients (N=25,291) within the Adjuvant Colon Cancer Endpoints (ACCENT) database. BMI was measured at enrollment in randomized trials of 5-fluorouracil-based adjuvant chemotherapy. Association of BMI with time-to-recurrence (TTR), disease-free (DFS), and overall survival (OS) was determined using Cox regression models. Statistical tests were two-sided.
Results
During a median follow-up of 7.8 years, obese and underweight patients had significantly poorer survival compared to overweight or normal-weight patients. In a multivariable analysis, the adverse prognostic impact of BMI was seen in men but not in women (Pinteraction=.0129). Men with class 2/3 obesity (BMI ≥35.0 kg/m2) had a statistically significant reduction in DFS [HR= 1.16 (1.01, 1.33), p=.0297] vs normal weight patients Underweight patients had a significantly shorter TTR and reduced DFS [HR=1.18 (1.09, 1.28), p<.0001] that was stronger among men [HR= 1.31 (1.15, 1.50), p<.0001] than women [1.11 (1.01, 1.23), .0362; Pinteraction=.0340). BMI was not predictive of adjuvant treatment benefit.
Conclusion
Obesity and underweight status were independently associated with inferior outcomes in colon cancer patients treated in adjuvant chemotherapy trials.
Introduction
The increasing prevalence of obesity and its association with both cancer risk and prognosis are of major public health importance. Approximately 34% of adults in the United States (US) are obese, as defined as having a body mass index (BMI)1,2 of ≥30 kg/m2. Rates of obesity have increased two-fold in adults and three-fold in children in the past 30 years in the US.3 While obesity is an established risk factor for colorectal cancer (CRC) incidence and death4–6,7, 8, its association with mortality in survivors of CRC is less clear and inconsistent results have been reported9–12. Within clinical trials of adjuvant chemotherapy in colon cancer patients, the obese subgroup has represented 17%–35% of the study cohorts which has limited the statistical power for comparison with survival outcomes. Evidence indicates that the time frame during which BMI is estimated or determined, ie., pre- vs post diagnosis may also influence its prognostic impact.13 To date, inconsistent data exist to whether the association of BMI with CRC survival might differ by patient sex.9, 11
In this report, we determined the association of BMI with colon cancer prognosis and examined its potential predictive impact for the outcome of 5-FU-based adjuvant chemotherapy. We tested the hypothesis that obese patients have an increased risk of colon cancer recurrence and death compared to normal weight patients that may be more evident in men compared to women. We utilized the ACCENT database, a pooled resource of >20,000 participants in national and international colon cancer adjuvant chemotherapy trials.14 This database provides a unique opportunity to definitively address the impact of BMI upon a clinical outcome in colon cancer patients. Clarification of the role of BMI in prognosis can influence patient education and management, since body weight represents a modifiable factor that may influence patient outcomes.
Methods
Study Population
We utilized the Adjuvant Colon Cancer Endpoints (ACCENT) Group14 database containing data on TNM stage II and III colon cancers (N = 25,291) from patients who participated in 21 randomized trials of 5-FU-based adjuvant chemotherapy conducted in North America and Europe (Table 1). We included all trials that had the following data: BMI, age, tumor stage, sex, and censoring variables for clinical outcome. The database does not include data on toxicity or comorbid conditions. All studies were approved by Institutional Review Boards (IRBs) at the respective study sites, and all participants provided written informed consent. This study was conducted under an IRB-approved protocol.
Table 1.
Study Population of Stage II, III Colon Cancers (N=25,291)
Clinical Trial | # Patients (%) |
---|---|
INT-0035 | 780 (3.1%) |
NCIC | 359 (1.4%) |
NSABP C-01 | 664 (2.6%) |
NSABP C-02 | 678 (2.7%) |
NSABP C-03 | 1042 (4.1%) |
NSABP C-04 | 2083 (8.2%) |
NSABP C-05 | 2136 (8.4%) |
NSABP C-06 | 1556 (6.2%) |
NSABP C-07 | 2434 (9.6%) |
CALGB 89803 | 1236 (4.9%) |
SWOG 9415 | 912 (3.6%) |
NCCTG 78-48-52 | 240 (.9%) |
NCCTG 87-46-51 | 106 (.4%) |
NCCTG 89-46-51 | 907 (3.6%) |
NCCTG 91-46-53 | 871 (3.4%) |
PETACC-3 | 3174 (12.5%) |
SIENA | 225 (.9%) |
GIVIO | 820 (3.2%) |
GERCOR | 869 (3.4%) |
MOSAIC | 2237 (8.8%) |
X-ACT | 1962 (7.8%) |
Study Treatment | |
Surgery vs 5-FU | 3872 (15.3%) |
5-FU vs 5-FU variations | 8820 (34.9%) |
5-FU vs Oxaliplatin | 4671 (18.5%) |
5-FU vs Irinotecan | 4410 (17.4%) |
5-FU vs Oral 5-FU | 3518 (13.9%) |
BMI Category | |
Underweight (< 20 kg/m2) | 1853 (7.3%) |
Normal (20–24.9 kg/m2) | 9887 (39.1%) |
Overweight (25–29.9 kg/m2) | 9088 (35.9%) |
Obese (≥ 30 kg/m2) | 4463 (17.6%) |
Class 1 (30–34.9 kg/m2) | 3203 (12.7%) |
Class 2/3 (≥ 35 kg/m2) | 1260 (5.0%) |
Measurement and Categorization of BMI
Body weight and height were measured and recorded at study enrollment by trained staff, and were used to calculate the BMI (kg/m2). BMI categories were created on the basis of WHO classifications and prior reports1 as follows: underweight, BMI <20 kg/m2; normal-weight, 20 to 24.9 kg/m2; overweight, 25 to 29.9 kg/m2; and obese ≥30 kg/m2)[class 1 obese, 30–34.9 kg/m2 ; class 2/3 obese ≥35.0 kg/m2].
Statistical Analyses
The association of the categorical BMI with clinicopathological variables was analyzed using the Kruskal-Wallis (continuous) or the chi-Square test (≥3 categories). The Cochran-Armitage test for trend was used across the ordered BMI categories (2-level variables). The association of BMI with clinicopathological variables was determined using chi-Square and Wilcoxon rank-sum tests. Time-to-recurrence (TTR) was calculated as the number of years from random assignment to colon cancer recurrence. Disease-free survival (DFS) was measured from the date of randomization to the first date of local, regional, or distant relapse or death. Overall survival (OS) was calculated with date of death as the outcome. Outcome variables were censored at 8 years and their distributions were estimated using Kaplan-Meier methodology. Univariate and multivariate Cox proportional hazard models15 were used to explore associations of BMI with outcome variables. Score (univariate) and likelihood ratio (multivariate) test p-values were used to test the significance of each covariate after stratifying by treatment group. Interaction effects were tested in Cox models with the use of the likelihood ratio test. The prognostic impact of BMI was also modeled using restricted cubic splines.16 All statistical tests were two-sided. Analyses were performed using SAS software (SAS Institute, Cary, NC).
Results
The study included 25,291 patients with curatively resected, TNM stages II and III colon cancer who participated in 21 randomized trials of 5-fluorouracil-based adjuvant chemotherapy (Table 1). BMI was measured at study entry and categorized as shown in Table 1; the median BMI was 25.4 (range: 10.0–70.3). After a median follow-up of 7.8 years in living patients, 32% had cancer recurrence and 32% (N=7,973) had died.
Across BMI categories, we found statistically significant but clinically modest associations between BMI and tumor stage, number of metastatic lymph nodes, age, sex, ECOG performance status (PS), and T-stage (all p<.0001) (Table 2). Tumors from obese vs normal-weight patients were more likely to be distal, stage III vs II, and T-stage1/2 vs 3/4 (all p<0.01; Table 2). Obese (vs. normal-weight) patients were more likely to have >3 metastatic regional lymph nodes (N2 disease) (p=.0001) (Table 2). A similar number of surgical removed lymph nodes were examined from obese patients compared to other BMI categories. Underweight (vs normal-weight) patients were significantly more likely to be younger (median 58 vs 61 yr, p<.0001), female (69% vs 48%, p<.0001) and to have a PS of 1–2 vs. 0 (24% vs. 19%, p<.0001) (Table 2).
Table 2.
Clinical Characteristics by BMI Group
Underweight (N=1853) | Normal (N=9887) | Overweight (N=9088) | Obese (N=4463) | Total (N=25291) | Overall p-value1 | Obese vs. Normal p-value3 | Underweight vs Normal p-value3 | |
---|---|---|---|---|---|---|---|---|
Stage | <0.0001 | 0.0013 | 0.0783 | |||||
Stage II | 648 (35.0%) | 3250 (32.9%) | 2801 (30.8%) | 1346 (30.2%) | 8045 (31.8%) | |||
Stage III | 1205 (65.0%) | 6637 (67.1%) | 6287 (69.2%) | 3117 (69.8%) | 17246 (68.2%) | |||
Histologic Grade2,4 | 0.0948 | 0.4203 | 0.7622 | |||||
Grade 1/2 | 921 (80.3%) | 5149 (80.7%) | 4821 (82.3%) | 2198 (81.4%) | 13089 (81.4%) | |||
Grade 3/4 | 226 (19.7%) | 1233 (19.3%) | 1036 (17.7%) | 502 (18.6%) | 2997 (18.6%) | |||
Tumor Site4 | 0.0211 | 0.0068 | 0.6695 | |||||
Distal | 913 (55.3%) | 4804 (54.7%) | 4497 (55.5%) | 2352 (57.2%) | 12566 (55.5%) | |||
Proximal | 739 (44.7%) | 3979 (45.3%) | 3609 (44.5%) | 1757 (42.8%) | 10084 (44.5%) | |||
Sex | <0.0001 | 0.0190 | <0.0001 | |||||
Women | 1284 (69.3%) | 4709 (47.6%) | 3342 (36.8%) | 2220 (49.7%) | 11555 (45.7%) | |||
Men | 569 (30.7%) | 5178 (52.4%) | 5746 (63.2%) | 2243 (50.3%) | 13736 (54.3%) | |||
Performance Status4 | <0.0001 | 0.0138 | <0.0001 | |||||
0 | 1289 (76.0%) | 7580 (81.4%) | 7067 (82.2%) | 3352 (79.4%) | 19288 (81.0%) | |||
1 | 381 (22.5%) | 1657 (17.8%) | 1470 (17.1%) | 840 (19.9%) | 4348 (18.3%) | |||
2 | 25 (1.5%) | 70 (0.8%) | 58 (0.7%) | 29 (0.7%) | 182 (0.8%) | |||
T-Stage4 | <0.0001 | 0.0001 | 0.0368 | |||||
T1/2 | 190 (11.4%) | 1207 (13.3%) | 1258 (14.6%) | 687 (15.9%) | 3342 (14.1%) | |||
T3/4 | 1478 (88.6%) | 7896 (86.7%) | 7345 (85.4%) | 3647 (84.1%) | 20366 (85.9%) | |||
Age | <0.0001 | 0.0007 | <0.0001 | |||||
Median | 58.0 | 61.0 | 62.0 | 60.0 | 61.0 | |||
Lymph Nodes (# positive)4 | <0.0001 | <0.0001 | 0.2708 | |||||
0 | 641 (37.9%) | 3232 (35.9%) | 2785 (33.5%) | 1342 (32.2%) | 8000 (34.5%) | |||
1–3 | 693 (41.0%) | 3831 (42.5%) | 3679 (44.3%) | 1819 (43.7%) | 10022 (43.2%) | |||
>3 | 357 (21.1%) | 1950 (21.6%) | 1840 (22.2%) | 1006 (24.1%) | 5153 (22.2%) |
Kruskal-Wallis test (continuous data); Chi-square test (variables with 3+ categories); Cochran-Armitage test for trend (variables with 2 categories)
Grade1/2: well/moderate differentiation; Grade 3/4: poor/undifferentiated
Chi-square test (categorical data); Wilcoxon rank-sum test (continuous data)
Missing data
In a univariate analysis, the categorical BMI was significantly associated with TTR, DFS, and OS across all adjuvant studies (Table 3). Overweight patients were not at increased risk of recurrence or mortality compared to normal-weight patients. Obese patients had shorter TTR and worse DFS and OS [OS HR 1.11 (1.04, 1.18), p=.0014] vs normal-weight patients (Table 3). Underweight patients also had shorter TTR and worse DFS [HR 1.11 (1.03, 1.20), p=.0093] and OS rates (Table 3). Patients with stage III vs II tumors, poor differentiation, and increased number of metastatic lymph nodes all had shorter TTR, DFS and OS (all p<.0001) (Table 3). Higher T-stage, but not primary tumor site, and worse ECOG PS were similarly associated with worse outcome (data not shown). Analysis by patient sex revealed that the categorical BMI was significantly prognostic in men for TTR (p=.0015), DFS (p<.0001), and OS (p<.0001), but not in women (all p >.20) (Table 3, Fig. 1A–D).
Table 3.
Univariate Survival for Clinicopathological Variables (N=25,291)
Variable | Time-to Recurrence | Disease-Free Survival | Overall Survival | |||
---|---|---|---|---|---|---|
HR (95% CI) | P-value1 | HR (95% CI) | P-value1 | HR (95% CI) | P-value1 | |
Categorical BMI (Overall) | 0.0208 | 0.0069 | 0.0030 | |||
Normal | Reference | Reference | Reference | |||
Underweight | 1.11 (1.02, 1.21) | 0.01692 | 1.11 (1.03, 1.20) | 0.00932 | 1.12 (1.02, 1.22) | 0.01322 |
Overweight | 1.01 (0.96, 1.06) | 0.79922 | 1.00 (0.96, 1.05) | 0.93732 | 1.03 (0.97, 1.08) | 0.32832 |
Obese | 1.07 (1.01, 1.14) | 0.02902 | 1.07 (1.01, 1.13) | 0.01742 | 1.11 (1.04, 1.18) | 0.00142 |
Class 1 | 1.06 (0.99, 1.13) | 0.11402 | 1.06 (1.00, 1.13) | 0.06812 | 1.11 (1.04, 1.19) | 0.00242 |
Class 2/3 | 1.11 (1.00, 1.22) | 0.05002 | 1.10 (1.00, 1.20) | 0.05032 | 1.09 (0.98, 1.21) | 0.10182 |
Categorical BMI (Men) | 0.0015 | <.0001 | <.0001 | |||
Normal | Reference | Reference | Reference | |||
Underweight | 1.17 (1.01, 1.35) | 0.04012 | 1.23 (1.08, 1.40) | 0.00192 | 1.29 (1.12, 1.48) | 0.00042 |
Overweight | 0.99 (0.93, 1.06) | 0.81712 | 0.97 (0.91, 1.03) | 0.26412 | 0.98 (0.92, 1.05) | 0.52132 |
Obese | 1.14 (1.05, 1.24) | 0.00232 | 1.11 (1.03, 1.20) | 0.00732 | 1.14 (1.04, 1.24) | 0.00332 |
Class 1 | 1.12 (1.02, 1.23) | 0.01672 | 1.09 (1.00, 1.18) | 0.05582 | 1.12 (1.02, 1.23) | 0.01702 |
Class 2/3 | 1.21 (1.04, 1.40) | 0.01272 | 1.20 (1.04, 1.37) | 0.00962 | 1.19 (1.02, 1.38) | 0.02422 |
Categorical BMI (Women) | 0.4660 | 0.3969 | 0.2064 | |||
Normal | Reference | Reference | Reference | |||
Underweight | 1.09 (0.98, 1.21) | 0.12762 | 1.09 (0.98, 1.20) | 0.10052 | 1.08 (0.96, 1.20) | 0.20282 |
Overweight | 1.03 (0.95, 1.11) | 0.50882 | 1.04 (0.96, 1.12) | 0.33902 | 1.07 (0.99, 1.16) | 0.08622 |
Obese | 1.00 (0.92, 1.10) | 0.94412 | 1.03 (0.95, 1.12) | 0.43422 | 1.08 (0.99, 1.19) | 0.09552 |
Class 1 | 0.98 (0.89, 1.09) | 0.77592 | 1.03 (0.93, 1.13) | 0.60042 | 1.10 (0.99, 1.22) | 0.07672 |
Class 2/3 | 1.04 (0.91, 1.19) | 0.57382 | 1.05 (0.92, 1.19) | 0.45782 | 1.05 (0.91, 1.20) | 0.53272 |
Histological Grade3 | <.0001 | <.0001 | <.0001 | |||
Grade 1/2 | Reference | Reference | Reference | |||
Grade 3/4 | 1.40 (1.31, 1.49) | 1.37 (1.29, 1.46) | 1.54 (1.44, 1.65) | |||
Stage | <.0001 | <.0001 | <.0001 | |||
Stage II | Reference | Reference | Reference | |||
Stage III | 2.76 (2.60, 2.92) | 2.34 (2.22, 2.46) | 2.43 (2.29, 2.57) | |||
Sex | 0.3966 | <.0001 | <.0001 | |||
Women | Reference | Reference | Reference | |||
Men | 1.02 (0.98, 1.06) | 1.09 (1.04, 1.13) | 1.10 (1.06, 1.15) | |||
Metastatic Lymph Nodes | <.0001 | <.0001 | <.0001 | |||
0 | Reference | Reference | Reference | |||
1–3 | 2.09 (1.97, 2.23) | 1.83 (1.73, 1.94) | 1.87 (1.76, 1.99) | |||
>3 | 4.17 (3.91, 4.46) | 3.46 (3.26, 3.66) | 3.75 (3.52, 4.00) | |||
Treatment Arm | <.0001 | <.0001 | <.0001 | |||
Control | Reference | Reference | Reference | |||
Experimental | 0.88 (0.84, 0.92) | 0.89 (0.85, 0.92) | 0.91 (0.87, 0.96) |
Score test from a Cox Regression model after stratifying by study treatment group
Wald chi-square p-value
Grade1/2: well/moderate differentiation; Grade 3/4: poor/undifferentiated. Missing data for 9205 patients.
Figure 1.
Kaplan-Meier plots showing the association of BMI category with time-to-recurrence (TTR) and overall survival (OS) in men (A, C) and women (B, D) with resected, stage II and III colon cancers who participated in adjuvant chemotherapy trials.
A significant interaction between obesity and patient sex was found wherein obese men (HR=1.14 [1.05, 1.24], p=.0023), but not women (HR=1.00, p=.9441), had significantly shorter TTR (Table 3, Pinteraction=.0345). Furthermore, underweight and obese men had significantly poorer DFS and OS compared to women (Table 3, Fig. 1A–D). Men with class 2/3 obesity had significantly inferior outcomes for TTR (p=.0127), DFS (p=.0096), and OS (p=.0242) in contrast to women (all p > 0.45) (Table 3). The relationship between BMI and survival outcomes did not differ significantly by patient age or tumor stage (data not shown).
In a multivariable analysis, categorical BMI was significantly associated with TTR, DFS, and OS after adjusting for covariates (Table 4A). Obese (vs. normal-weight) patients had poorer DFS and OS (HR=1.10 [1.04, 1.17], p=.0023), even after adjusting for age, stage, treatment, and sex. Overweight and normal-weight patients had similar outcomes, while underweight patients had significantly worse TTR (p=.0044), DFS [HR=1.18 (95% CI: 1.09, 1.28), p<.0001], and OS [HR=1.21 (95% CI: 1.11, 1.32), p<.0001] after adjusting for covariates (Table 4A).
Table 4.
Multivariable Analysis
Variable | TTR Hazard Ratio (95% CI) |
P-value1 | DFS Hazard Ratio (95% CI) |
P-value1 | OS Hazard Ratio (95% CI) |
P-value1 |
---|---|---|---|---|---|---|
Table 4A. Multivariate Analysis in All Patients (N=25,291) | ||||||
Categorical BMI (Overall) | .0073 | <.0001 | <.0001 | |||
Underweight vs Normal | 1.13 (1.04, 1.24) | .00442 | 1.18 (1.09, 1.28) | <.00012 | 1.21 (1.11, 1.32) | <.00012 |
Overweight vs Normal | .99 (.94, 1.04) | .72582 | 0.97 (.92, 1.02) | .19122 | 0.99 (.94, 1.04) | .60742 |
Obese vs Normal | 1.06 (1.00, 1.13) | .07072 | 1.06 (1.00, 1.13) | .03372 | 1.10 (1.04, 1.17) | .00232 |
Class 1 vs Normal | 1.05 (.98, 1.12) | .17972 | 1.05 (.98, 1.12) | .15262 | 1.10 (1.02, 1.18) | .00842 |
Class 2/3 vs Normal | 1.08 (.98, 1.20) | .11942 | 1.10 (1.01, 1.21) | .03622 | 1.11 (1.00, 1.23) | .04502 |
Age (1 year increase) | 1.00 (1.00, 1.00) | .5483 | 1.01 (1.01, 1.01) | <.0001 | 1.01 (1.01, 1.02) | <.0001 |
Stage (III vs II) | 2.77 (2.61, 2.93) | <.0001 | 2.34 (2.23, 2.47) | <.0001 | 2.43 (2.30, 2.57) | <.0001 |
Treatment (Experimental vs Control) | .87 (.83, .91) | <.0001 | 0.88 (.85, .92) | <.0001 | 0.91 (.87, .95) | <.0001 |
Sex (Men vs Women) | 1.05 (1.01, 1.10) | .0190 | 1.13 (1.08, 1.18) | <.0001 | 1.14 (1.09, 1.19) | <.0001 |
Table 4B. Multivariate Analysis in Men (N=13,736) | ||||||
Categorical BMI (Overall) | .0009 | <.0001 | <.0001 | |||
Underweight vs Normal | 1.22 (1.05, 1.42) | .00782 | 1.31 (1.15, 1.50) | <.00012 | 1.39 (1.21, 1.60) | <.00012 |
Overweight vs Normal | 0.97 (.90, 1.03) | .33142 | 0.94 (.88, 1.00) | .04302 | 0.95 (.89, 1.02) | .13392 |
Obese vs Normal | 1.10 (1.01, 1.20) | .02282 | 1.09 (1.01, 1.17) | .03602 | 1.11 (1.02, 1.21) | .01372 |
Class1 vs Normal | 1.09 (.99, 1.20) | .06592 | 1.06 (.98, 1.16) | .15622 | 1.10 (1.00, 1.20) | .05172 |
Class 2/3 vs Normal | 1.14 (.98, 1.33) | .07922 | 1.16 (1.01, 1.33) | .02972 | 1.16 (1.00, 1.35) | .04522 |
Age (1 year increase) | 1.00 (1.00, 1.00) | .1847 | 1.01 (1.01, 1.02) | <.0001 | 1.02 (1.01, 1.02) | <.0001 |
Stage (III vs II) | 2.78 (2.57, 3.00) | <.0001 | 2.28 (2.13, 2.44) | <.0001 | 2.35 (2.18, 2.53) | <.0001 |
Treatment (Experimental vs. Control) | .86 (.81, .91) | <.0001 | .88 (.83, .92) | <.0001 | .91 (.86, .97) | .0017 |
Table 4C. Multivariate Analysis in Women (N=11,555) | ||||||
Categorical BMI (Overall) | .4597 | .2117 | .1070 | |||
Underweight vs Normal | 1.09 (.98, 1.21) | .12552 | 1.11 (1.01, 1.23) | .03622 | 1.12 (1.00, 1.25) | .04552 |
Overweight vs Normal | 1.04 (.96, 1.12) | .37762 | 1.03 (.96, 1.11) | .45062 | 1.05 (.97, 1.14) | .19702 |
Obese vs Normal | 1.01 (.93, 1.11) | .76372 | 1.04 (.96, 1.13) | .32682 | 1.09 (1.00, 1.20) | .05532 |
Class 1 vs Normal | 1.00 (.90, 1.11) | .98282 | 1.03 (.94, 1.14) | .50912 | 1.10 (.99, 1.23) | .06552 |
Class 2/3 vs Normal | 1.04 (.91, 1.19) | .58272 | 1.06 (.93, 1.21) | .35482 | 1.07 (.93, 1.24) | .32582 |
Age (1 year increase) | 1.00 (.99, 1.00) | .0191 | 1.00 (1.00, 1.01) | .0051 | 1.01 (1.01, 1.01) | <.0001 |
Stage (III vs II) | 2.76 (2.52, 3.01) | <.0001 | 2.45 (2.26, 2.65) | <.0001 | 2.55 (2.34, 2.79) | <.0001 |
Treatment (Experimental vs Control) | 0.89 (.83, .95) | .0004 | 0.89 (.84, .95) | .0003 | 0.91 (.85, .97) | .0064 |
Likelihood Ratio p-value after stratifying by study treatment group
Wald chi-square p-value
The categorical BMI was significantly prognostic in men (Table 4B, Fig. 1A,C) for TTR (p=.0009), DFS (p<.0001), and OS (p<.0001), but not in women (all p>.10) (Table 4C, Fig. 1B,D) (OS Pinteraction=.0129). Obese and underweight men had significantly poorer clinical outcomes vs normal weight men (Table 4B). A greater impact of class 2/3 vs class 1 obesity on DFS and OS rates was found among men (Table 4B). The significant interaction between BMI and clinical outcome variables was primarily due to underweight men, but not women, having inferior TTR (HR 1.22 [1.05, 1.42], p=.0078), DFS (HR 1.31 [1.15, 1.50], p<.0001) and OS (HR 1.39 [1.21, 1.60], p<.0001; Pinteraction=.0340) compared to normal-weight men.
We explored whether a curvilinear or quadratic relationship could describe the observed results for BMI. Using restricted cubic splines, we found that the continuous BMI (using 4 knots) displayed a significant curvilinear relationship with OS overall (p < 0.025; Fig. 2A) and by patient sex (Pinteraction=0.05; Fig. 2B). Underweight men had worse OS compared to underweight women, and obesity played a lesser role in predicting poor OS (Fig. 2B). The relationship between the continuous BMI and DFS and TTR was more quadratic in nature, where only 3 knots were significant using restricted cubic splines. Given this finding, we modeled BMI as a quadratic variable in multivariate Cox models and found that the quadratic BMI was significantly associated with DFS (p<.0001) and TTR (p=.0008) after adjustment for age, stage, treatment, and sex.
Figure 2.
BMI is modeled using restricted cubic splines in all patients (A) and by patient sex (B) for overall survival (OS). Hazard ratios (HRs) for OS are shown for BMI values (range 15 to 40 relative to no effect). Plots used 4 knots16 that were all statistically significant (p< 0.025). Instead of the y axis being shown in log scale, transformation to a HR scale was performed to enhance interpretability.
We assessed whether BMI was predictive of benefit from 5-FU-based adjuvant chemotherapy among stage II and III patients. We examined eight adjuvant studies where a treatment benefit was observed. Among these eight trials, six evaluated 5-FU vs observation and two evaluated 5-FU plus oxaliplatin vs 5-FU. There was no statistically significant interaction for BMI and treatment for TTR, DFS, or OS in either univariate or multivariable analysis. The multivariate interaction models showed a continued treatment benefit across all BMI categories after adjusting for age, stage, and sex. Furthermore, there was no evidence for a differential treatment effect by adjuvant chemotherapy regimen.
Discussion
Using BMI measured by trained personnel at adjuvant study entry, we found that obese, but not overweight, patients had significantly poorer survival vs normal-weight patients after adjustment for covariates, and this effect was most evident among patients with severe (class 2/3) obesity. An important finding of our study is that adverse impact of obesity on colon cancer outcomes was limited to men. Severely obese men had a 16% increase in mortality relative to normal-weight patients. Another important finding is that underweight patients had increased cancer recurrence and inferior outcomes. Furthermore, a statistically significant interaction was found between underweight status and patient sex with underweight men having a 39% increase in all-cause mortality compared to normal-weight men or women. In prior studies, the inferior outcome among underweight cancer patients that have been attributed to noncancer–related deaths.17,18 However, we observed a shorter TTR and DFS for underweight patients suggesting that the impact upon prognosis is cancer-related.
Inconsistent data exist for the impact of patient sex on outcome in obese colon cancer patients. In patients with stage II and III colon cancers, the association between obesity and mortality was stronger in women vs men 9. In contrast, no differences by sex were found in another study that also examined data from colon cancer adjuvant trials 12. Our finding of a stronger association of obesity with adverse outcome in men vs women is consistent with the reported a higher rate of incident colon cancers among obese men vs women.4, 6, 19, 20 Mechanisms underlying this observation may be related to body fat distribution in that BMI is more closely related to abdominal or central adiposity in men.21, 22 Abdominal adiposity is associated with hyperinsulinemia, insulin resistance and the IGF axis as potential mediators of increased CRC risk and mortality.23–25 The attenuated impact of obesity on colon cancer outcome observed in women vs men may be due to effect modification by estrogen. Estrogen levels correlate with BMI in postmenopausal women since their major source is conversion from androgens in adipose tissue.26 The association of obesity with CRC risk is reduced after menopause,27 and HRT is consistently associated with reduced colon cancer mortality.28–30
Excess mortality among underweight patients with colon cancer have been attributed to noncancer causes, mainly to chronic respiratory conditions18. In our study, performance status differences based upon BMI were not clinically meaningful and strict eligibility criteria for the adjuvant studies exclude patients with significant comorbidities. Since BMI was recorded at adjuvant trial enrollment, it will be important to distinguish between patients who are underweight but have stable weight over time vs those who experienced significant cancer-related weight loss prior to trial enrollment. Significant cancer-related weight loss may identify a poor prognostic subgroup since cancer cachexia is associated with inferior outcomes.31–33 Loss of adipose tissue accounts for the majority of the cancer-related weight loss, yet the preferential loss of skeletal muscle adversely impacts mortality.34–36 While not included in the ACCENT database, cigarette smoking is associated with a lower BMI and current smokers who are underweight or obese have high mortality rates,37 especially in men.38, 39
Evidence suggests that time frame during which BMI is determined can influence its association with clinical outcome. A prospective cohort study found that self-reported BMI prediagnosis (mean of 7 years before CRC diagnosis) was independently associated with a statistically significant increase in risk of all-cause and cancer-specific mortality, whereas postdiagnosis BMI (mean interval of 1.5 years after diagnosis) was not.13 Prediagnosis BMI measurements have also shown a higher risk of all-cause mortality in obese vs normal weight women.17, 40
We also detemined whether BMI was predictive of clinical benefit in patients receiving 5-FU-based adjuvant chemotherapy vs observation or no 5-FU. Our data indicate that adjuvant chemotherapy is beneficial for high risk and low risk BMI categories, with outcomes being similar among those receiving older vs more modern adjuvant regimens as well as among North American and European patients.
Strengths of our study include BMI measurements performed by trained staff and the rigorous collection of data on recurrence and survival within clinical trials over an extended follow-up period. Limitations include the retrospective study design and lack of data on smoking, diet, physical activity, menopausal status, or use of hormone replacement therapy (HRT) that may have independent associations with outcomes and may inform the interpretation of sex-related differences. Of note, neither lifestyle nor demographic factors impacted the association of the prediagnosis BMI with survival of colon cancer patients in a large cohort study13. While the large sample size within the ACCENT database indicates that modest absolute differences in clinical outcomes may be statistically significant, our results must be interpreted in that context.
In summary, obese and underweight BMI are associated with increased mortality in colon cancer survivors, especially among men. In underweight patients, shorter TTR and reduced DFS rates suggest increased tumor aggressiveness. Together, these data suggest that interventions to modify patient BMI after colon cancer diagnosis have the potential to improve patient outcomes.
Acknowledgments
Supported by a National Cancer Institute Senior Scientist Award (K05CA-142885) to F.A.S), and the North Central Cooperative Treatment Group Biospecimen Resource National Institutes of Health grant (CA-114740).
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