Literature DB >> 35648074

Survival Outcomes of Adjuvant Chemotherapy in Elderly Patients with Stage III Colon Cancer.

Lana Khalil1, Xingyu Gao2, Jeffrey M Switchenko2, Olatunji B Alese1, Mehmet Akce1, Christina Wu1, Maria Diab1, Bassel F El-Rayes1, Walid L Shaib1.   

Abstract

BACKGROUND: The survival impact of multi-agent (MAC) compared with single-agent (SAC) adjuvant chemotherapy (AC) in elderly patients with stage III colon cancer (CC) remains controversial. The aim of this study was to compare survival outcomes of MAC and SAC in this population utilizing the National Cancer Database (NCDB). PATIENTS AND METHODS: Patients aged ≥70 years with pathological stage III CC diagnosed in 2004-2015 were identified in the NCDB. Univariate and multivariable analyses were conducted, and Kaplan-Meier analysis and Cox proportional hazard models were used to identify associations between MAC vs. SAC and overall survival (OS).
RESULTS: Among 41 707 elderly patients (≥70 years old) with stage III CC, about half (n = 20 257; 48.5%) received AC; the majority (n = 12 923, 63.8%) received MAC. The median age was 79 (range 70-90). The majority were female (n = 11 201, 55.3%), Caucasians (88%) and had moderately differentiated tumor grade (n = 12 619, 62.3%), tumor size >4 cm (11 785, 58.2%), and negative surgical margins (18 496, 91.3%). Low-risk stage III CC constituted 50.6% (n = 10 264) of the study population. High-risk stage III CC was associated with worse OS compared with low-risk disease (HR 0.35, 0.34-0.36, P < .001). Multi-agent chemotherapy was associated with a better 5-year OS compared with SAC (P < .001). High-risk stage III patients who received MAC vs. SAC had an OS of 4.2 vs. 3.4 years, respectively (P < .001). Low-risk stage III patients who received MAC vs. SAC had a median OS of 8.5 vs. 7 years (P < .001). In univariate and multivariable analyses, male sex, positive surgical margin, insurance and facility types, age, year of diagnosis, tumor size, and Charlson-Deyo score of >2 were associated with worse OS (P < .05).
CONCLUSIONS: Any adjuvant chemotherapy has a trend of survival benefits. Multi-agent chemotherapy seems to have an enhanced benefit in the 70-75 age group. Multi-agent chemotherapy seemed to have similar efficacy as SAC in those aged >76 years.
© The Author(s) 2022. Published by Oxford University Press.

Entities:  

Keywords:  above 70; agent chemotherapy; colon cancer; high risk; multi-agent chemotherapy; single; stage III; survival

Mesh:

Year:  2022        PMID: 35648074      PMCID: PMC9438921          DOI: 10.1093/oncolo/oyac082

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159            Impact factor:   5.837


The standard of care for patients with resected stage III colon cancer is adjuvant chemotherapy with 5-fluorouracil (5-FU) based treatment in combination with oxaliplatin. Elderly patients are under-represented in prospective adjuvant studies and the benefit of adding oxaliplatin to the 5-FU chemotherapy is not established in patients 70 years or older. This analysis is the largest retrospective data analysis showing the survival benefit of multi-agent chemotherapy when compared with single-agent chemotherapy in the adjuvant setting for stage III colon cancer in patients aged 70 years and older.

Introduction

Colorectal cancer (CC) is considered one of the most prevalent malignancies worldwide.[1] It ranks third in mortality rate after lung and prostate cancer, with approximately 861 000 deaths annually[1] and accounts for approximately 8% of all cancer deaths in the US.[2] Around 35% of patients with CC have stage III disease at presentation.[3] Age is a major risk factor for CC[4] with a median age at diagnosis of 67 years.[5] Approximately 57% of cases develop in patients over the age of 65 and 32% in those 75 years or older. The elderly population is expected to rise and thus the number of CC patients above the age of 70 will rise in parallel.[6] Current clinical practice guidelines from the National Comprehensive Cancer Network (NCCN) and the European Society for Medical Oncology (ESMO) recommend adjuvant chemotherapy (AC) as a standard treatment for patients in all age groups with stage III CC. This is based on the proven reduction in the risk of relapse and the survival benefits with overall survival (OS) benefit of 22%-32%[7,8] and a 30% relative risk reduction over surgery alone.[8] The standard of care now is doublet chemotherapy of fluoropyrimidine and oxaliplatin. The duration of AC depends on the risk of the stage III disease (high-risk stage, T4 or N2, low-risk stage, T3N1).[9] Analysis of 37 568 patients enrolled in 25 randomized trials of adjuvant systemic therapy derived from the ACCENT database noted that early mortality (within one to 6 months of starting adjuvant chemotherapy) was significantly more prevalent in older patients, particularly those over the age of 70.[6] The National Comprehensive Cancer Network (NCCN) guidelines recommend multi-agent chemotherapy (MAC) in the adjuvant setting for stage III CC. However, for stage III resected CC patients above the age 70 years, NCCN commented with the statement “A benefit for the addition of oxaliplatin to 5-FU/leucovorin in patients aged 70 years and older has not been proven.”[10,11] In fact, there is evidence that patients over 70 years who received MAC in the adjuvant setting have worse survival outcomes when compared with single-agent chemotherapy (SAC).[11] Although the median age at diagnosis of CC is 67 years, there are no prospective studies addressing the benefits of AC in the elderly population. The median ages of patients in the prospective AC studies range between 58 and 64 years.[3,12] The underrepresentation of the elderly population in prospective AC trials could be due to restrictive eligibility criteria, poor functionality, major comorbidities, or investigator bias.[13] Therefore, the generalizability of the results of these prospective studies to the elderly patient population seen in the clinics is limited and this represents an area of unmet need. Given these limitations, population-based outcome analyses are extremely important in providing evidence for clinical management. Therefore, this age group-based study was conducted to assess the impact of single-agent or multi-agent chemotherapy on the survival of patients over the age of 70 with stage III CC using the National Cancer Database (NCDB).

Patients and Methods

The NCDB includes over 1500 Commission-on-Cancer-accredited cancer programs and contains clinical and demographic data on the majority of US cancer patients. A total of 41 707 elderly patients (>70 years old) with stage III CC diagnosed between 2010 and 2015 were identified. Selection criteria included node-positive resected colon adenocarcinoma using the following ICD-O-3 morphology and topography codes: 8140, 8480, and C18.0-18.8. High-risk stage III disease is defined as pathologic stage T3N2, T4N1, and T4N2, and low-risk disease is defined as T3N1. Patients with missing follow-up data, unknown stage, prior chemotherapy, or radiation, and unknown sequence of chemotherapy to surgery were excluded. Kaplan-Meier analysis was conducted to analyze survival. Charlson-Deyo (CD) scores, which quantitated the number of comorbidities from 0 to 2, were examined. Chi-square analysis was done to determine the significance of survival differences between the treatment groups. The primary outcome was to determine the impact of single or multi-agent chemotherapy on the overall survival in patients above 70 years of age with resected stage III CC. Patient-specific covariates included age at diagnosis, gender, race, tumor size, grade, risk group, insurance status, surgical margins, year of diagnosis, and treatment received. Ethical approval was not required for the study since patient information in the database is completely de-identified and the database is legally accessible to the public.

Statistical Analysis

The clinical and demographic characteristics of the patients were summarized using descriptive statistics as appropriate for variable type and distribution. For numeric covariates, the mean, median, minimum, maximum, and standard deviation were presented. Frequency and its percentage were generated for categorical variables. For descriptive statistics, chi-square tests were presented for categorical variables and t-tests for continuous variables. Two-sample 2-sided Z-test was used to test the univariate association between patients with surgery and without surgery, as well as other treatment comparison groups. All clinically meaningful variables were included and subsequently eliminated based on the level of significance. Univariate and multivariate analyses were conducted to identify factors associated with patient outcomes. To assess the association between patient characteristics and survival, Cox proportional hazard models were fitted with a backward elimination method (removal criteria P = .05). The likelihood ratio test (LRT) was used to compare the model with the covariate being assessed; both added with the model and with the assessed covariate dropped. An alpha level of 0.05 was used, and any covariate with an LRT P-value of >.05 was removed from the final multivariate model. We used backward elimination to automate the LRTs, and determine the final model with the covariates presented. Sensitivity analysis was added to force the covariates with concerns back to the multivariate model to ascertain a significant association with overall survival (OS). Kaplan-Meier curves were generated for overall survival. All analyses were done using SAS 9.4 (SAS Institute, Inc., Cary, NC) with a significance level of .05.

Results

Patient Demographics and Tumor Characteristics

A total of 41 707 patients above 70 years of age with resected stage III CC were identified; 21 485 (51.5%) had low risk and 20 222 (48.5%) high risk disease. Baseline clinicopathological characteristics are summarized in Table 1. The median age was 79 (range, 70-90) years. There was a preponderance of females (n = 24 163, 57.9%) and Caucasians (n = 36 219, 87.4%). The most common primary tumor sites were right-sided (cecum (n = 12 307, 29.5%), and ascending colon (n = 10 545, 25.3%)), followed by sigmoid colon (n = 8242, 19.8%), and transverse colon (n = 4264, 10.2%). The majority of tumors were graded as moderately differentiated (n = 25 508, 61.2%), followed by poorly differentiated (n = 11 924, 28.6%) and well differentiated ( = 2500, 6.0%). Charlson-Deyo scores of 0, 1, 2, and ≥3 were observed in 61.7%, 25.8%, 8.6%, and 3.9% of patients; respectively. Insurance coverage was mostly governmental (89.8%) in comparison to private insurance (9.7%), and no insurance (0.5%) (Table 1). The 90-day mortality reached 11% in the whole population, reaching 25% in the high risk and 16% in the low-risk stage III CC in the no chemotherapy group.
Table 1.

Descriptive statistics for all variables of interest in patients with stage III CC.

Variable label Level N (%) = 41 707
Facility typeCommunity cancer program5458 (13.1)
Comprehensive community cancer program20 541 (49.3)
Academic/research program9593 (23.0)
Integrated network cancer program6115 (14.7)
Facility locationNortheast9606 (23.0)
South13 894 (33.3)
Midwest11 815 (28.3)
West6392 (15.3)
Age at diagnosisMean79.42
Median79.00
Minimum70.00
Maximum90.00
SD6.04
Missing0.00
SexMale17 544 (42.1)
Female24 163 (57.9)
Median income quartiles 2000<$30 0005347 (13.2)
$30 000-$34 9997316 (18.0)
$35 000-$45 99911 675 (28.7)
≥$46 00016 305 (40.1)
Missing1064
Primary siteC180-cecum12 307 (29.5)
C182-ascending colon10 545 (25.3)
C183-hepatic flexure of colon2156 (5.2)
C184-transverse colon4264 (10.2)
C185-splenic flexure of the colon1317 (3.2)
C186-descending colon2124 (5.1)
C187-sigmoid colon8242 (19.8)
C188-overlapping lesion of colon752 (1.8)
GradeWell differentiated, differentiated, NOS2500 (6.0)
Moderately differentiated, moderately well-differentiated, and intermediate differentiation25 508 (61.2)
Poorly differentiated11 924 (28.6)
Undifferentiated, anaplastic1775 (4.3)
RiskLow risk21 485 (51.5)
High risk20 222 (48.5)
RaceWhite36 219 (87.4)
Black3687 (8.9)
Other1532 (3.7)
Missing269
Hispanic ethnicityNo37 705 (95.8)
Yes1663 (4.2)
Missing2339
Insurance typeNot insured215 (0.5)
Private insurance3989 (9.7)
Government insurance36 963 (89.8)
Missing540
Year of diagnosis2004-20068507 (20.4)
2007-20097216 (17.3)
2010-201212 614 (30.2)
2013-201513 370 (32.1)
Surgical marginsNegative37 574 (90.9)
Positive3764 (9.1)
Missing369
Charlson-Deyo scores025 728 (61.7)
110 774 (25.8)
≥25205 (12.5)
Tumor size≤2 cm1660 (4.1)
2-4 cm14 007 (34.3)
>4 cm25 201 (61.7)
Missing839
Chemotherapy typeNo chemotherapy21 450 (51.4)
Single-agent chemotherapy (SAC)7334 (17.6)
Multi-agent chemotherapy (MAC)12 923 (31.0)
Descriptive statistics for all variables of interest in patients with stage III CC.

Treatment

Adjuvant Chemotherapy

Almost half of the patients (n = 20 257, 48.6%) received either SAC or MAC and met the inclusion criteria of the final analysis (Fig. 1). Adjuvant treatment was delivered to 49.3% of the patients at a community practice site, and to 23.0% at an academic or research center. Almost half of the treated patients were low-risk (n = 10 264, 50.6%), the majority of these patients (n = 6236, 60.8%) received MAC. Baseline clinicopathological characteristics for patients with low-risk stage III CC who received chemotherapy are summarized in Supplementary Table S1. Low-risk stage III CC patients treated with SAC and MAC included more females (58.4% and 52.6%), government-insured patients (88.9% and 88.7%), patients with moderately differentiated tumors (68.9% and 68.2%, P = .259), patients with Charlson-Deyo score of 0 (63.3% and 66.3%, P < .001), and those treated within a comprehensive community cancer program (50.1% and 47.8%, P < .029), compared with males, private insurance/uninsured, well/poorly differentiated tumors, Charlson-Deyo score >1, and academic/research programs, respectively. The median age at diagnosis for low-risk stage III disease was higher for patients receiving SAC (78 years) compared with MAC (75 years) (in Supplementary Table S1).
Figure 1.

CONSORT diagram outlining the study selection.

CONSORT diagram outlining the study selection. Among patients with high-risk stage III CC, the majority (n = 6687, 66.9%) received MAC. Baseline clinicopathological characteristics for patients with high-risk stage III CC who received chemotherapy are summarized in Supplementary Table S2. Patients treated with SAC and MAC included more females (59.5% and 53.9%), Caucasians (88.3% and 88.17%), government-insured patients (89.27% and 89.51%), patients with moderately differentiated tumors (55.9% and 56.0%) and Charlson-Deyo score = 0 (61.3% and 67.94%), and those treated at a comprehensive community cancer program (49.6% and 48.5%) compared with males, private insurance/uninsured, well/poorly differentiated tumors, Charlson-Deyo score >1, and academic/research programs, respectively. The median age at diagnosis was slightly higher for patients receiving SAC (79 years) compared with MAC (76 years) (Supplementary Table S2).

Risk Status, Adjuvant Chemotherapy, and Overall Survival

For all patients, MAC was associated with better 1-, 2-, and 5-year OS than SAC (5-year OS [56.5% (55.5%, 57.5%); P < .001) compared with SAC (51.2% (49.9, 52.5%) P < .001] (Fig. 2). For patients with low-risk stage III CC, SAC was associated with worse OS compared with MAC in univariate (HR 0.41; 95% CI, 0.39-0.44; P < .001) analysis (Supplementary Table S3). Stage III low-risk patients who received MAC had better 1-, 2-, and 5-year OS (5-year OS (68.7% (67.3%, 70.0%); P < .001)) compared with SAC (Supplementary Fig. S1). On stratification by 5-year age intervals, benefit of MAC when compared with SAC was significant for age group 70-75 years (HR 0.81 (0.73-0.90), P < .001), but not to age groups 76-80 (HR (0.90 (0.80-1.00), P = .051), 81-85 (HR 0.97 (0.83-1.12), P = .637), and 86-90+ (HR 0.95 (0.72-1.25), P = .691). For patients with high-risk stage III CC, MAC was associated with better OS compared with SAC in univariate analysis (HR 0.35; 95% CI (0.34-0.36); P < .001) (Supplementary Table S4). High-risk patients who received MAC had a better 1-, 2-, and 5-year OS (5-year OS (45.4% (44.0%, 46.8%; P < .001) compared with SAC (Supplementary Fig. S2).
Figure 2.

Survival curves by chemotherapy for all patients.

Survival curves by chemotherapy for all patients. Other covariates on univariate analysis associated with worse OS in patients with low-risk stage III CC included positive surgical margin (HR 1.51; 1.38-1.64; P < .001), Charlson-Deyo Score > 2 (HR 1.82; 1.73-1.92; P < .001), undifferentiated tumors (HR 1.14; 1.00-1.30; P = .044), and not insured (HR 0.98; 0.72-1.32; P < .001) (Supplementary Table S5). For high-risk patients with stage III CC, other covariates on univariate analysis associated with worse OS included male sex, positive surgical margin (HR 1.73; 1.66-1.81; P < .001), and Charlson-Deyo score >2 (HR 1.53 1.45-1.61; P < .001) compared with female sex, negative surgical margin, and Charlson-Deyo score <1 (Tables 2 and 3).
Table 2.

Univariate correlation with study cohort (multi-agent vs. single-agent vs. no chemotherapy for stage III low risk)

Chemotherapy type Parametric P-value a
Covariate Statistics Level No chemo, N = 11 221 Single agent, N = 4028 Multi-agent, N = 6236
Facility type N (Col %)Community cancer program1474 (13.14)476 (11.82)820 (13.15).029
N (Col %)Comprehensive community cancer program5530 (49.28)2016 (50.05)2982 (47.82)
N (Col %)Academic/research program2534 (22.58)944 (23.44)1526 (24.47)
N (Col %)Integrated network cancer program1683 (15)592 (14.7)908 (14.56)
Facility location N (Col %)Northeast2506 (22.33)968 (24.03)1302 (20.88)<.001
N (Col %)South3797 (33.84)1379 (34.24)2170 (34.8)
N (Col %)Midwest3112 (27.73)1023 (25.4)1958 (31.4)
N (Col %)West1806 (16.09)658 (16.34)806 (12.92)
Sex N (Col %)Male4644 (41.39)1677 (41.63)2958 (47.43)<.001
N (Col %)Female6577 (58.61)2351 (58.37)3278 (52.57)
Median income quartiles 2000 N (Col %)<$30 0001511 (13.8)514 (13.09)803 (13.3).889
N (Col %)$30 000-$34 9991990 (18.17)711 (18.11)1118 (18.51)
N (Col %)$35 000-$45 9993173 (28.98)1134 (28.88)1741 (28.83)
N (Col %)≥$46 0004276 (39.05)1568 (39.93)2377 (39.36)
Median income quartiles 2008-2012 N (Col %)<$38 0002052 (18.4)716 (17.87)1071 (17.29).356
N (Col %)$38 000-$47 9992645 (23.72)935 (23.33)1503 (24.27)
N (Col %)$48 000-$62 9993095 (27.76)1086 (27.1)1716 (27.71)
N (Col %)≥$63 0003359 (30.12)1270 (31.69)1903 (30.73)
Median income quartiles 2012-2016 N (Col %)<$40 2272164 (19.58)777 (19.55)1101 (17.95).053
N (Col %)$40 227-50 3532548 (23.06)864 (21.74)1442 (23.52)
N (Col %)$50 354-63 3322630 (23.8)939 (23.63)1502 (24.49)
N (Col %)≥$63 3333708 (33.56)1394 (35.08)2087 (34.03)
Urban/rural 2003 N (Col %)Metro9176 (84.14)3230 (82.1)4899 (80.66)<.001
N (Col %)Urban1221 (11.2)504 (12.81)800 (13.17)
N (Col %)Rural508 (4.66)200 (5.08)375 (6.17)
Year of diagnosis N (Col %)2004-20062567 (22.88)1008 (25.02)1120 (17.96)<.001
N (Col %)2007-20091990 (17.73)675 (16.76)1155 (18.52)
N (Col %)2010-20123368 (30.02)1021 (25.35)1983 (31.8)
N (Col %)2013-20153296 (29.37)1324 (32.87)1978 (31.72)
Grade N (Col %)Well differentiated, differentiated, and NOS814 (7.25)265 (6.58)461 (7.39).259
N (Col %)Moderately differentiated, moderately well differentiated, and intermediate differentiation7574 (67.5)2775 (68.89)4250 (68.15)
N (Col %)Poorly differentiated2502 (22.3)856 (21.25)1356 (21.74)
N (Col %)Undifferentiated, anaplastic331 (2.95)132 (3.28)169 (2.71)
Hispanic ethnicity N (Col %)No10163 (96.12)3653 (95.53)5637 (95.59).138
N (Col %)Yes410 (3.88)171 (4.47)260 (4.41)
Insurance type N (Col %)Not insured51 (0.46)15 (0.38)36 (0.58).003
N (Col %)Private insurance1018 (9.19)430 (10.78)658 (10.68)
N (Col %)Government insurance10003 (90.35)3545 (88.85)5465 (88.73)
Surgical margins N (Col %)Negative10696 (95.86)3877 (96.76)5953 (96.28).033
N (Col %)Positive462 (4.14)130 (3.24)230 (3.72)
Charlson-Deyo scores N (Col %)06433 (57.33)2549 (63.28)4137 (66.34)<.001
N (Col %)13055 (27.23)1008 (25.02)1582 (25.37)
N (Col %)≥21733 (15.44)471 (11.69)517 (8.29)
Tumor size N (Col %)≤2 cm495 (4.5)202 (5.1)339 (5.55)<.001
N (Col %)2-4 cm3986 (36.24)1501 (37.88)2449 (40.1)
N (Col %)>4 cm6517 (59.26)2260 (57.03)3319 (54.35)
Age at diagnosis N 1122140286236<.001
Mean82.0178.1775.17
Median837874
Min707070
Max909090
SD5.814.954.16

The parametric P-value is calculated by ANOVA for numerical covariates and χ2 test for categorical covariates.

Table 3.

Univariate correlation with study cohort (multi-agent vs. single-agent vs. no chemotherapy for stage III high-risk).

Chemotherapy type Parametric P-value a
Covariate Statistics Level No chemo N = 10229 Single agent N = 3306 Multi-agent N = 6687
Facility type N (Col %)Community cancer program1379 (13.48)410 (12.4)899 (13.44)<.001
N (Col %)Comprehensive Community cancer program5134 (50.19)1639 (49.58)3240 (48.45)
N (Col %)Academic/research program2162 (21.14)787 (23.81)1640 (24.53)
N (Col %)Integrated network cancer program1554 (15.19)470 (14.22)908 (13.58)
Facility location N (Col %)Northeast2411 (23.57)815 (24.65)1604 (23.99)<.001
N (Col %)South3370 (32.95)1038 (31.4)2140 (32)
N (Col %)Midwest2815 (27.52)906 (27.4)2001 (29.92)
N (Col %)West1633 (15.96)547 (16.55)942 (14.09)
Sex N (Col %)Male3844 (37.58)1338 (40.47)3083 (46.1)<.001
N (Col %)Female6385 (62.42)1968 (59.53)3604 (53.9)
Median income quartiles 2000 N (Col %)<$30 0001319 (13.2)398 (12.36)802 (12.3).392
N (Col %)$30 000-$34 9991774 (17.76)556 (17.27)1167 (17.9)
N (Col %)$35 000-$45 9992817 (28.2)960 (29.81)1850 (28.38)
N (Col %)≥$46 0004079 (40.83)1306 (40.56)2699 (41.41)
Median income quartiles 2008-2012 N (Col %)<$38 0001813 (17.81)539 (16.38)1058 (15.89).024
N (Col %)$38 000-$47 9992388 (23.45)776 (23.59)1559 (23.42)
N (Col %)$48 000-$62 9992688 (26.4)923 (28.05)1862 (27.97)
N (Col %)≥$63 0003293 (32.34)1052 (31.98)2179 (32.73)
Median income quartiles 2012-2016 N (Col %)<$40,2271938 (19.19)584 (17.89)1128 (17.11).014
N (Col %)$40 227-50 3532242 (22.2)735 (22.52)1456 (22.08)
N (Col %)$50 354-63 3322356 (23.33)816 (25)1623 (24.62)
N (Col %)≥$63 3333563 (35.28)1129 (34.59)2386 (36.19)
Urban/rural 2003 N (Col %)Metro8392 (84.32)2621 (81.63)5277 (81.04)<.001
N (Col %)Urban1075 (10.8)413 (12.86)840 (12.9)
N (Col %)Rural485 (4.87)177 (5.51)395 (6.07)
Year of diagnosis N (Col %)2004-20062057 (20.11)664 (20.08)1091 (16.32)<.001
N (Col %)2007-20091772 (17.32)497 (15.03)1127 (16.85)
N (Col %)2010-20123137 (30.67)931 (28.16)2174 (32.51)
N (Col %)2013-20153263 (31.9)1214 (36.72)2295 (34.32)
Grade N (Col %)Well differentiated, differentiated, and NOS475 (4.64)165 (4.99)320 (4.79)<.001
N (Col %)Moderately differentiated, moderately well differentiated, and intermediate differentiation5315 (51.96)1849 (55.93)3745 (56)
N (Col %)Poorly differentiated3839 (37.53)1107 (33.48)2264 (33.86)
N (Col %)Undifferentiated, anaplastic600 (5.87)185 (5.6)358 (5.35)
Race N (Col %)White8980 (88.37)2903 (88.34)5852 (88.17).396
N (Col %)Black835 (8.22)257 (7.82)524 (7.9)
N (Col %)Other347 (3.41)126 (3.83)261 (3.93)
Hispanic ethnicity N (Col %)No9248 (95.88)2970 (95.16)6034 (95.66).222
N (Col %)Yes397 (4.12)151 (4.84)274 (4.34)
Insurance type N (Col %)Not insured59 (0.59)24 (0.73)30 (0.45).029
N (Col %)Private insurance894 (8.87)327 (10)662 (10.03)
N (Col %)Government insurance9124 (90.54)2920 (89.27)5906 (89.51)
Surgical margins N (Col %)Negative8382 (82.94)2888 (88.32)5778 (87.36)<.001
N (Col %)Positive1724 (17.06)382 (11.68)836 (12.64)
Charlson-Deyo scores N (Col %)06040 (59.05)2026 (61.28)4543 (67.94)<.001
N (Col %)12653 (25.94)904 (27.34)1572 (23.51)
N (Col %)≥21536 (15.02)376 (11.37)572 (8.55)
Tumor size N (Col %)≤2 cm297 (2.96)93 (2.87)234 (3.58)<.001
N (Col %)2-4 cm2826 (28.2)1020 (31.45)2225 (34.05)
N (Col %)>4 cm6899 (68.84)2130 (65.68)4076 (62.37)
Age at diagnosis N 10 22933066687<.001
Mean82.1979.1775.65
Median837975
Min707070
Max909090
SDv5.895.234.34

The parametric P-value is calculated by ANOVA for numerical covariates and χ2 test for categorical covariates.

Univariate correlation with study cohort (multi-agent vs. single-agent vs. no chemotherapy for stage III low risk) The parametric P-value is calculated by ANOVA for numerical covariates and χ2 test for categorical covariates. Univariate correlation with study cohort (multi-agent vs. single-agent vs. no chemotherapy for stage III high-risk). The parametric P-value is calculated by ANOVA for numerical covariates and χ2 test for categorical covariates. On multivariable analysis, MAC (1.13 (1.07-1.20); P < .001), facility type (1.15 (1.08-1.23); P < .001), sex (1.26; (1.21-1.31); P < .001), median income (1.09 (1.02-1.17); P < .001), race (0.86 (0.76-0.97); P < .001), Hispanic ethnicity (0.83 (0.75-0.91); P < .001), surgical margins (1.68 (1.60-1.76); P < .001), Charlson-Deyo score (1.13 (1.09-1.18); P < .001), and age (1.02 (1.02-1.03); P < .001) were significantly associated with survival (Table 4). In Table 5, high-risk vs. low-risk, stratified by stage and status, showed that multi-agent chemotherapy remained positive.
Table 4.

Multivariable survival analysis stratified by stage and status in terms of chemotherapy for stage III low risk.

Overall survival (years from diagnosis)
Covariate Level N Hazard ratio (95% CI) HR P-value
Chemotherapy typeNo chemo98672.49 (2.35-2.65)<.001
Single agent35901.17 (1.09-1.25)<.001
Multiagent5462--
Facility typeCommunity cancer program24641.10 (1.03-1.18).007
Comprehensive Community cancer program93111.01 (0.96-1.07).674
Integrated network cancer program27291.11 (1.04-1.19).002
Academic/research program4415--
Facility locationNortheast41160.97 (0.91-1.04).375
South66071.05 (0.98-1.11).155
Midwest52241.04 (0.97-1.11).265
West2972NANA
SexMale81551.26 (1.21-1.31)<.001
Female10 764NANA
Median income quartiles 2000<$30 00025751.09 (1.02-1.17).017
$30 000-$34 99934591.07 (1.01-1.14).024
$35 000-$45 99954861.03 (0.98-1.09).206
≥$46 0007399NANA
Urban/rural 2003Urban22351.01 (0.94-1.08).843
Rural9610.89 (0.81-0.98).020
Metro15 723NANA
GradeModerately differentiated, moderately well differentiated, and intermediate differentiation12 8621.01 (0.94-1.10).751
Poorly differentiated41141.08 (0.99-1.18).084
Undifferentiated, anaplastic5871.07 (0.93-1.23).355
Well differentiated, differentiated, and NOS1356NANA
RaceBlack18711.04 (0.97-1.12).279
Other7150.86 (0.76-0.97).014
White16 333NANA
Hispanic ethnicityYes7880.89 (0.80-1.00).046
No18 131NANA
Insurance typeNot insured931.31 (0.95-1.80).098
Private insurance18520.96 (0.89-1.03).209
Government insurance16 974NANA
Surgical marginsPositive7141.55 (1.41-1.70)<.001
Negative18 205NANA
Charlson-Deyo scores150401.20 (1.15-1.26)<.001
≥224171.59 (1.51-1.69)<.001
011 462NANA
Age at diagnosis18 9191.04 (1.03-1.04)<.001
Table 5.

Multivariable survival analysis stratified by stage and status in terms of chemotherapy for stage III high risk.

Overall survival (years from diagnosis)
Covariate Level N Hazard ratio (95% CI) HR P-value
Chemotherapy typeNo chemo91912.40 (2.29-2.52)<.001
Single agent29951.13 (1.07-1.20)<.001
Multiagent6014NANA
Facility typeCommunity cancer program23811.15 (1.08-1.23)<.001
Comprehensive community cancer program90401.07 (1.02-1.12).004
Integrated network cancer program26881.11 (1.04-1.18).001
Academic/research Program4091NANA
Facility locationNortheast43480.98 (0.93-1.04).542
South60051.08 (1.02-1.14).009
Midwest49241.04 (0.99-1.11).141
West2923NANA
GradeModerately differentiated, moderately well differentiated, and intermediate differentiation98360.98 (0.90-1.07)0.627
Poorly differentiated64441.24 (1.14-1.36)<.001
Undifferentiated, anaplastic10621.41 (1.27-1.57)<.001
Well differentiated and differentiated, NOS858NANA
RaceBlack14981.00 (0.94-1.07).929
Other6680.82 (0.74-0.91)<.001
White16 034NANA
Hispanic ethnicityYes7760.83 (0.75-0.91)<.001
No17 424NANA
Insurance typeNot insured1010.96 (0.74-1.26).791
Private insurance16860.99 (0.93-1.06).803
Government insurance16 413NANA
Surgical marginsPositive26711.68 (1.60-1.76)<.001
Negative15 529NANA
Charlson-Deyo scores146741.13 (1.09-1.18)<.001
≥222431.39 (1.32-1.47)<.001
011 283NANA
Year of diagnosis2007-200929200.98 (0.93-1.04).567
2010-201257250.95 (0.90-1.00).059
2013-201563830.93 (0.88-0.98).010
2004-20063172NANA
Tumor size2-4 cm55821.00 (0.90-1.12).937
>4 cm120421.06 (0.95-1.17).291
≤2 cm576NANA
Age at diagnosis18 2001.02 (1.02-1.03)<.001
Multivariable survival analysis stratified by stage and status in terms of chemotherapy for stage III low risk. Multivariable survival analysis stratified by stage and status in terms of chemotherapy for stage III high risk.

Discussions

Age is an established risk factor for the development of cancer, including colon cancer. As the population ages, there will be a corresponding increase in the elderly population with cancer. Unfortunately, the elderly population is underrepresented in prospective trials. For example, in the pivotal MOSAIC trial, patients older than 65 (n = 463) were underrepresented when compared with younger patients aged 65 years or younger (n = 884).[14] Furthermore, data from prospective studies do not reflect the real-world data specific to the elderly population. The average age of participants in prospective adjuvant trials was 60 years.[15] Elderly patients were underrepresented in these studies with the highest range being 18-75 years.[15] The concern of higher rates of toxicity from AC in elderly patients is suggested by the published literature. A systematic review of 25 studies evaluating adjuvant oxaliplatin and fluoropyrimidine concluded that grade 3 or 4 adverse events were higher among older adult patients. These toxicities included cardiac disorders, neutropenia, infection, dehydration, diarrhea, and fatigue. Similarly, the ACCENT meta-analysis reported an increase in early mortality for elderly patients (>70) receiving adjuvant therapy for CC where performance status was a major determinant (ECOG PS > 2).[6] Given the ACCENT trial results, the NCCN reported a consideration of using SAC in elderly patients.[6] The added toxicity in the elderly population highlights the importance of evaluating the benefits of combination chemotherapy to confirm the role of these regimens in this population. The IDEA trial has set a new standard of care for all patients with stage III CC (in both high risk and low-risk patients) showing that XELOX for 3 months in the adjuvant therapy is non-inferior to 6 months and utilizing FOLFOX for 3 months was inferior to 6 months duration.[9] In our analysis of the largest dataset of elderly patients, we observed a significant benefit of MAC compared with SAC in low-risk and high-risk stage III CC. These results suggest that elderly patients may still benefit from combination chemotherapy mainly for the age group of 70-75 years of age. Any adjuvant chemotherapy (MAC or SAC) is better than no chemotherapy in all age groups. Patients with low and high-risk stage III CC who underwent MAC showed significantly better OS in the patient age group 70-75 when compared with SAC and no chemotherapy group. MAC compared SAC showed equal benefit for age groups of >76 years and significantly better OS when compared with no adjuvant chemotherapy. A reasonable approach is to use MAC for patients with stage III disease (irrespective of risk) for patients with resected CC of the age group 70-75 and SAC for patients of age group 76 and older. Treatment of cancer in the elderly is extrapolated from younger patient age groups enrolled in prospective studies. Elderly patients have specific challenges including age-related organ function decline, comorbid conditions, and decline in performance status; therefore, patient selection for AC is critical and challenging. In this analysis, a higher comorbidity Charlson-Deyo score of >2 significantly affected survival. The decision of adjuvant therapy is dependent on the bias of the treating physician in assessing the performance of the patient. The benefits of AC have been demonstrated in stage III CC and MAC is an established standard of care, despite the evidence, only 48.5% of this study’s population received any AC. One reason is likely related to the high rate of the 90-day mortality which is significantly higher in the no chemotherapy group but similar in the MAC when compared with SAC groups. The 90-day mortality reached 11% in the whole population, reaching 25% in the high risk and 16% in the low-risk stage III CC in the no chemotherapy group. This is likely related to the Charlson-Deyo high score and the age of the patient. Age and comorbidities remain to be significant factors in selecting patients who are fit for surgery. Some of the surgeries are probably done on an emergent basis which can also explain the high positive margins (9%) in this population. This analysis focuses on the differences between MAC when compared with SAC in the elderly population. In other reports, AC was less commonly delivered to patients over age 65, particularly those over 80.[9,11] Kahn et al reported that 50% of patients aged 75 years and older received AC compared with 87% of younger patients.[14] Older patients in the community received less toxic AC regimens than younger patients.[14] These statistics highlight the missed opportunity for a large proportion of patients with CC to benefit from potentially curative adjuvant therapy. More concerning is the disproportionate disparity related to age and offering adjuvant chemotherapy in CC. Future research focused on barriers to treatment with adjuvant therapy in CC is needed. The standard of care for resected stage III CC is doublet chemotherapy with 5FU (or equivalence) and oxaliplatin combinations.[16] In this retrospective study, there is insufficient data on the doses, toxicity, or duration (number of cycles) of AC. The study cannot account for cancer-specific survival due to a lack of data for this specific outcome. Furthermore, the average age of patients receiving SAC was 78 years compared with 75 among those receiving MAC. This reflects further the clinical bias in the selection of patients. Survival benefit by years of the diagnosis is also highlighted in this analysis. In the more recent years, a higher number of patients have received adjuvant chemotherapy compared with prior. The survival benefits of years of diagnosis could be related to the major developments in chemotherapeutic options including targeted therapies that might have affected the better survival. This is related to patients with disease recurrences. Data on disease recurrences are not available in NCDB. This study did not stratify patients based on the location of the tumor (right or left) or mutations (BRAF or MSI). This study has shown the clear benefit of MAC when compared with SAC in all risk groups of the elderly population with stage III disease. Given the projected increase in the aging population, it is important to design prospective studies addressing the question of MAC in the elderly population. This study provides real-world treatment evidence of the benefit of MAC when compared with SAC in the age group of 70-75 years. At higher age groups (>76), single-agent compared with multi-agent adjuvant chemotherapy showed no difference. A consideration in the treatment of this age group (>76) is to use a single agent for adjuvant therapy except for selected patients (poor performance, MSI high cancer, high comorbidity score). We have shown alarming evidence that more than 50% of elderly patients receive substandard treatment for stage III CC. This highlights possible bias by the providers undertreating elderly patients; in addition, to the high 90-day postsurgical mortality in this patient population, this deserves an in-depth analysis and a proposal analysis. This paper could help oncologists and patients base some of their decisions to get multiagent adjuvant chemotherapy in the age group of 70-75 years.

Conclusion

Multi-agent AC is associated with better survival than SAC in stage III CC patients aged 70-75 years and older. The enhanced benefit of MAC was shown for a patient with both low-risk and high-risk stage III CC specifically in this age group and not in the older age groups. Prospective trials focused on adjuvant therapy in elderly patients with stage III CC are needed. Click here for additional data file. Click here for additional data file.
  13 in total

1.  FOLFOX or CAPOX in Stage II to III Colon Cancer: Efficacy Results of the Italian Three or Six Colon Adjuvant Trial.

Authors:  Alberto Sobrero; Sara Lonardi; Gerardo Rosati; Maria Di Bartolomeo; Monica Ronzoni; Nicoletta Pella; Mario Scartozzi; Maria Banzi; Maria Giulia Zampino; Felice Pasini; Paolo Marchetti; Maurizio Cantore; Alberto Zaniboni; Lorenza Rimassa; Libero Ciuffreda; Daris Ferrari; Vittorina Zagonel; Evaristo Maiello; Sandro Barni; Eliana Rulli; Roberto Labianca
Journal:  J Clin Oncol       Date:  2018-04-05       Impact factor: 44.544

2.  Clinical trial to assess the relative efficacy of fluorouracil and leucovorin, fluorouracil and levamisole, and fluorouracil, leucovorin, and levamisole in patients with Dukes' B and C carcinoma of the colon: results from National Surgical Adjuvant Breast and Bowel Project C-04.

Authors:  N Wolmark; H Rockette; E Mamounas; J Jones; S Wieand; D L Wickerham; H D Bear; J N Atkins; N V Dimitrov; A G Glass; E R Fisher; B Fisher
Journal:  J Clin Oncol       Date:  1999-11       Impact factor: 44.544

3.  Adjuvant chemotherapy use and adverse events among older patients with stage III colon cancer.

Authors:  Katherine L Kahn; John L Adams; Jane C Weeks; Elizabeth A Chrischilles; Deborah Schrag; John Z Ayanian; Catarina I Kiefe; Patricia A Ganz; Nirmala Bhoopalam; Arnold L Potosky; David P Harrington; Robert H Fletcher
Journal:  JAMA       Date:  2010-03-17       Impact factor: 56.272

4.  Determinants of Early Mortality Among 37,568 Patients With Colon Cancer Who Participated in 25 Clinical Trials From the Adjuvant Colon Cancer Endpoints Database.

Authors:  Winson Y Cheung; Lindsay A Renfro; David Kerr; Aimery de Gramont; Leonard B Saltz; Axel Grothey; Steven R Alberts; Thierry Andre; Katherine A Guthrie; Roberto Labianca; Guido Francini; Jean-Francois Seitz; Chris O'Callaghan; Chris Twelves; Eric Van Cutsem; Daniel G Haller; Greg Yothers; Daniel J Sargent
Journal:  J Clin Oncol       Date:  2016-02-08       Impact factor: 44.544

Review 5.  Approach to the older patient with stage II/III colorectal cancer: who should get curative-intent therapy?

Authors:  Erika Ramsdale; Hanna Sanoff; Hyman Muss
Journal:  Am Soc Clin Oncol Educ Book       Date:  2013

Review 6.  FOLFOX and FLOX regimens for the adjuvant treatment of resected stage II and III colon cancer.

Authors:  Saima Sharif; Michael J O'Connell; Greg Yothers; Samia Lopa; Norman Wolmark
Journal:  Cancer Invest       Date:  2008-11       Impact factor: 2.176

7.  The benefit of leucovorin-modulated fluorouracil as postoperative adjuvant therapy for primary colon cancer: results from National Surgical Adjuvant Breast and Bowel Project protocol C-03.

Authors:  N Wolmark; H Rockette; B Fisher; D L Wickerham; C Redmond; E R Fisher; J Jones; E P Mamounas; L Ore; N J Petrelli
Journal:  J Clin Oncol       Date:  1993-10       Impact factor: 44.544

8.  Adjuvant Fluorouracil, Leucovorin, and Oxaliplatin in Stage II to III Colon Cancer: Updated 10-Year Survival and Outcomes According to BRAF Mutation and Mismatch Repair Status of the MOSAIC Study.

Authors:  Thierry André; Armand de Gramont; Dewi Vernerey; Benoist Chibaudel; Franck Bonnetain; Annemilaï Tijeras-Raballand; Aurelie Scriva; Tamas Hickish; Josep Tabernero; Jean Luc Van Laethem; Maria Banzi; Eduard Maartense; Einat Shmueli; Goran U Carlsson; Werner Scheithauer; Demetris Papamichael; Marcus Möehler; Stefania Landolfi; Pieter Demetter; Soudhir Colote; Christophe Tournigand; Christophe Louvet; Alex Duval; Jean-François Fléjou; Aimery de Gramont
Journal:  J Clin Oncol       Date:  2015-11-02       Impact factor: 44.544

9.  Association Between Adjuvant Chemotherapy Duration and Survival Among Patients With Stage II and III Colon Cancer: A Systematic Review and Meta-analysis.

Authors:  Devon J Boyne; Colleen A Cuthbert; Dylan E O'Sullivan; Tolulope T Sajobi; Robert J Hilsden; Christine M Friedenreich; Winson Y Cheung; Darren R Brenner
Journal:  JAMA Netw Open       Date:  2019-05-03

Review 10.  The IDEA (International Duration Evaluation of Adjuvant Chemotherapy) Collaboration: Prospective Combined Analysis of Phase III Trials Investigating Duration of Adjuvant Therapy with the FOLFOX (FOLFOX4 or Modified FOLFOX6) or XELOX (3 versus 6 months) Regimen for Patients with Stage III Colon Cancer: Trial Design and Current Status.

Authors:  Thierry André; Timothy Iveson; Roberto Labianca; Jeffrey A Meyerhardt; Ioannis Souglakos; Takayuki Yoshino; James Paul; Alberto Sobrero; Julien Taieb; Anthony F Shields; Atsushi Ohtsu; Axel Grothey; Daniel J Sargent
Journal:  Curr Colorectal Cancer Rep       Date:  2013
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