Literature DB >> 35205748

Physical Activity Is Associated with Improved Overall Survival among Patients with Metastatic Colorectal Cancer.

Karel C Smit1,2, Jeroen W G Derksen1, Geerard L O Beets3,4, Eric J Th Belt5, Maaike Berbée6, Peter Paul L O Coene7, Hester van Cruijsen8, Marjan A Davidis9, Jan Willem T Dekker10, Joyce M van Dodewaard-de Jong11, Annebeth W Haringhuizen12, Helgi H Helgason13, Mathijs P Hendriks14, Ronald Hoekstra15, Ignace H J T de Hingh16, Jan N M IJzermans17, Johan J B Janssen18, Joop L M Konsten19, Maartje Los20, Leonie J M Mekenkamp21, Peter Nieboer22, Koen C M J Peeters23, Natascha A J B Peters24, Hans J F M Pruijt25, Patricia Quarles van Ufford-Mannesse26, Ron C Rietbroek27, Anandi H W Schiphorst28, Arjan Schouten van der Velden29, Ruud W M Schrauwen30, Mark P S Sie31, Dirkje W Sommeijer32,33, Dirk J A Sonneveld34, Hein B A C Stockmann35, Marleen Tent36, Frederiek Terheggen37, Manuel L R Tjin-A-Ton38, Liselot Valkenburg-van Iersel39, Ankie M T van der Velden40, Wouter J Vles41, Theo van Voorthuizen42, Johannes A Wegdam43, Johannes H W de Wilt44, Miriam Koopman2, Anne M May1.   

Abstract

Regular physical activity (PA) is associated with improved overall survival (OS) in stage I-III colorectal cancer (CRC) patients. This association is less defined in patients with metastatic CRC (mCRC). We therefore conducted a study in mCRC patients participating in the Prospective Dutch Colorectal Cancer cohort. PA was assessed with the validated SQUASH questionnaire, filled-in within a maximum of 60 days after diagnosis of mCRC. PA was quantified by calculating Metabolic Equivalent Task (MET) hours per week. American College of Sports and Medicine (ACSM) PA guideline adherence, tertiles of moderate to vigorous PA (MVPA), and sport and leisure time MVPA (MVPA-SL) were assessed as well. Vital status was obtained from the municipal population registry. Cox proportional-hazards models were used to study the association between PA determinants and all-cause mortality adjusted for prognostic patient and treatment-related factors. In total, 293 mCRC patients (mean age 62.9 ± 10.6 years, 67% male) were included in the analysis. Compared to low levels, moderate and high levels of MET-hours were significantly associated with longer OS (fully adjusted hazard ratios: 0.491, (95% CI 0.299-0.807, p value = 0.005) and 0.485 (95% CI 0.303-0.778, p value = 0.003), respectively), as were high levels of MVPA (0.476 (95% CI 0.278-0.816, p value = 0.007)) and MVPA-SL (0.389 (95% CI 0.224-0.677, p value < 0.001)), and adherence to ACSM PA guidelines compared to non-adherence (0.629 (95% CI 0.412-0.961, p value = 0.032)). The present study provides evidence that higher PA levels at diagnosis of mCRC are associated with longer OS.

Entities:  

Keywords:  all-cause mortality; metastatic colorectal cancer; physical activity; survival

Year:  2022        PMID: 35205748      PMCID: PMC8870120          DOI: 10.3390/cancers14041001

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


1. Introduction

A physically active lifestyle is broadly considered to be related to a decreased risk of developing colorectal cancer (CRC), with evidence being especially strong for colon cancer [1,2,3,4,5]. After a cancer diagnosis, several studies show beneficial associations between high levels of physical activity (PA) and reduced mortality in stage I–III CRC patients as well [6,7,8,9,10,11]. Evidence for an association between PA and survival among metastatic colorectal cancer (mCRC) patients, however, is sparse, and the described associations are less uniform. Three studies provided secondary subgroup analyses, including small numbers of mCRC patients with conflicting results [12,13,14]. One large prospective study of patients with mCRC, embedded in a randomized phase III trial, reported a longer progression-free survival (PFS) and lower risk of treatment-related toxicities with higher total physical activity levels. More non-vigorous activity was associated with longer PFS and overall survival (OS), vigorous activity and walking were not [15]. However, as also noted by the authors, selective enrollment in a trial context may affect the generalizability of these results, creating uncertainty as to what extent the results can be extrapolated to the general patient population. Expanding current knowledge about the association between PA and OS is relevant, as it may help patients to make informed choices regarding their (change of) lifestyle, which is an important question facing a significant proportion of patients [16]. Furthermore, if there is indeed an association between PA and OS in patients with mCRC, this could inform future exercise intervention studies investigating the potential to prolong survival. Previous studies already showed feasibility and safety of exercise interventions in advanced cancer patients in general [17] and the mCRC population specifically [18]. In this study, we aim to provide further evidence of the association between prediagnostic PA and OS among patients with mCRC who participate in a large, prospective cohort study.

2. Materials and Methods

2.1. Study Sample

Data were obtained from patients participating in the Prospective Dutch Colorectal Cancer (PLCRC) cohort. PLCRC is a prospective multidisciplinary nationwide observational cohort in the Netherlands for which all patients over eighteen years of age with a histologically proven or strong clinical suspicion of CRC are eligible for inclusion. Currently, sixty-one of the sixty-nine Dutch hospitals participate in this initiative. As an informed consent option, patients are asked to consent to receiving repeated questionnaires on health-related topics. A detailed description of the cohort design is published elsewhere [19]. For the current analysis, all patients who completed a questionnaire within sixty days of diagnosis of first metastasis were included. Clinical data on tumor characteristics and treatment information were obtained from the Netherlands Cancer Registry (NCR). Date of first metastasis was defined as date of histological confirmation or date of first imaging of metastasis if no histological proof was obtained. Standardized differences were calculated to quantify the magnitude of differences in patient characteristics between our study population and the general Dutch population of mCRC patients, and between our study population and all mCRC PLCRC participants (i.e., including patients that did not consent to filling out questionnaires). Values greater than 0.20 indicate a large imbalance, while values between 0.10 and 0.20 indicate a small imbalance, and standardized differences less than 0.10 indicate a negligible imbalance [20].

2.2. Assessment of Mortality

The primary endpoint of this study is overall survival (OS). Vital status was obtained from an annual data linkage with the municipal population registry on 1 February 2021. Overall survival was defined as the interval from diagnosis of metastatic disease to all-cause death, or the date of the last follow-up was used for censoring (1 February 2021).

2.3. Assessment of Physical Activity

PA information was obtained using the validated Dutch short questionnaire to assess health-enhancing physical activity (SQUASH) [21]. The general purpose of the SQUASH is to assess the amount and intensity of habitual PA during an average week in the past months. Questions are divided in four activity domains: commuting activities, sports and leisure time activities, household activities, and activities at work and school. The total amount of time spent weekly on each activity and each activity domain was calculated. All activities were given a Metabolic Equivalent of Task (MET) score, based on the updated Ainsworth compendium of physical activities [22], and categorized as light-intensity (<3.0 METs), moderate-intensity (3.0–5.9 METs), and vigorous-intensity (≥6.0 METs). MET-hours were calculated by multiplying the time spent on activities with their assigned MET values. Weekly time spent on moderate-to-vigorous-intensity physical activity (MVPA) was calculated, which contained all activities with ≥3.0 METs. A subset was also made, containing only sport and leisure time MVPA (MVPA-SL). Lastly, Dutch PA guideline adherence was assessed, which correspond to the American College of Sports and Medicine (ACSM) guidelines for cancer survivors, i.e., resistance training at least twice a week, and a minimum of 150 min aerobic exercise per week [23,24].

2.4. Assessment of other Study Parameters

Age, sex, primary tumor location, metastatic sites, synchronicity of metastasis, surgery of primary tumor, metastasectomy and systemic treatment information were obtained from the NCR. Synchronous metastasis was defined as having stage IV cancer at first diagnosis. Exposure to systemic treatment types was defined as having received at least one dose of a treatment modality. Total days on systemic treatment was calculated as the cumulative sum of intervals receiving systemic therapy. If no end date was registered, date of censoring was used as end date. Body mass index (BMI) was calculated using the standard kg/m2 calculation, based on self-reported height and weight within sixty days of diagnosis of first metastasis.

2.5. Statistical Analyses

Cox proportional hazards models were used to analyze associations between PA and OS. PA was assessed using continuous data and tertiles for weekly MET-hours, MVPA, and MVPA-SL (henceforth: tertile 1 = low; tertile 2 = moderate; and tertile 3 = high level of PA), with low being the reference category. Guideline adherence was assessed as a categorical variable (yes, no), with ‘no’ being the reference category. The proportional hazards assumption was tested for PA variables, both visually and by using scaled Schoenfeld residuals. Two multivariable cox models were applied. The first model (henceforth: adjusted model) was adjusted for characteristics at diagnosis: age (continuous), sex (female, male), BMI (continuous), primary tumor location (left, right, rectum, other), metastatic sites (1, >1), liver-only metastasis (yes or no) and metastasis pattern (synchronous vs. metachronous). The second model (henceforth: fully adjusted model) was adjusted for the same variables, and contained additional adjustment for treatment-related factors: surgery of primary tumor (yes—before diagnosis of 1st metastasis, yes—after diagnosis of 1st metastasis, or no) and metastasectomy (yes or no). Sensitivity analyses were performed to reduce the probability of reverse causation by repeating our Cox models without patients who died within six months after diagnosis of 1st metastasis. All data were analyzed using SPSS version 26 [25] and R version 4.0.3. [26]. Survival analyses were performed with the R survival package, version 3.2–13 [27] and survival plots were created with the R survminer package, version 0.4.9 [28]. All statistical tests were two-sided with an alpha level of 0.050.

3. Results

3.1. Patient Characteristics

In total, 306 patients completed a SQUASH questionnaire within sixty days of diagnosis of first metastasis. Thirteen participants were excluded from further analysis due to incomplete questionnaires, i.e., more than two of the four domains were missing, leading to a final study population of n = 293. Table 1 shows baseline and treatment characteristics by tertiles of weekly MET-hours, and for the total study population. The majority of patients were male (67.2%) and mean age was 62.9 years (standard deviation (SD) 10.6). Table A1 shows standardized differences between our study population and both the general Dutch mCRC population and the entire PLCRC mCRC population. Compared to the general population, our study population showed a large difference in age (63 vs. 68 years), sex (67% vs. 57% male), and primary tumor localization (39% vs. 28% rectum). Compared to the entire PLCRC mCRC population, our study population showed a small difference in sex (67% vs. 61% male) and negligible differences in age (63 vs. 62 years) and primary tumor localization (39% vs. 39% rectum) [29]. When comparing tertiles, patients with high PA levels (tertile 3) were younger, less likely to have right-sided tumors, and were more likely to have synchronous metastases and to receive a metastasectomy. No clear differences in systemic treatment exposure were seen, but the median total days on treatment was evidently lower in patients with low PA levels (tertile 1, median of 169 days vs. a median of 223 and 215 in tertiles 2 and 3).
Table 1

Patient characteristics by tertiles of MET-hours per week, and for the total study sample.

CharacteristicsLow PA (n = 97)Moderate PA (n = 98)High PA (n = 98)Total (n = 293)
Follow-up time in months, median (IQR)14.7 (10.6, 22.9)19.9 (13.0, 26.6)21.3 (15.8, 30.0)18.8 (12.4, 26.6)
MET-hours/week, median (p2.5, p97.5)33.1 (0, 60.9)89.9 (63.8, 119)166 (122, 303)90.0 (0, 281)
MVPA hours/week, median (p2.5, p97.5)1.50 (0, 13.7)6.8 (0, 25.4)19.9 (5.0, 60.6)7.5 (0, 47.4)
MVPA-SL hours/week, median (p2.5, p97.5)0 (0, 12.6)4.21 (0, 22.6)11.1 (1.0, 43.7)4.5 (0, 31.7)
Adheres to ACSM PA guideline, n (%)4 (4.1%)43 (43.9%)65 (66.3%)112 (38.2%)
Sex, n (%)
Male67 (69.1%)64 (65.3%)66 (67.3%)197 (67.2%)
Female30 (30.9%)34 (34.7%)32 (32.7%)96 (32.8%)
Age in years, mean (SD)66.4 (10.4)62.1 (10.1)60.1 (10.3)62.9 (10.6)
BMI, mean (SD)25.5 (4.6)25.2 (3.6)25.8 (4.2)25.5 (4.2)
Missing5 (5.2%)6 (6.1%)6 (6.1%)17 (5.8%)
Location of primary tumor a
Right33 (34.0%)28 (28.6%)22 (22.4%)83 (28.3%)
Left26 (26.8%)28 (28.6%)36 (36.7%)90 (30.7%)
Rectum36 (37.1%)41 (41.8%)38 (38.8%)115 (39.2%)
Other2 (2.1%)1 (1.0%)2 (2.0%)5 (1.7%)
Metastasis pattern
Synchronous73 (75.3%)74 (75.5%)79 (80.6%)226 (77.1%)
Metachronous24 (24.7%)24 (24.5%)19 (19.4%)67 (22.9%)
Metastatic sites at diagnosis
154 (55.7%)67 (68.4%)58 (59.2%)179 (61.1%)
>143 (44.3%)31 (31.6%)40 (40.8%)114 (38.9%)
Liver only metastasis at diagnosis
No65 (67.0%)50 (51.0%)57 (58.2%)172 (58.7%)
Yes32 (33.0%)48 (49.0%)41 (41.8%)121 (41.3%)
Surgery of primary tumor
No39 (40.2%)24 (24.5%)32 (32.7%)95 (32.4%)
Yes, before metastasis22 (22.7%)21 (21.4%)17 (17.3%)60 (20.5%)
Yes, after metastasis36 (37.1%)53 (54.1%)49 (50.0%)138 (47.1%)
Metastasectomy, (any)
No63 (64.9%)50 (51.0%)45 (45.9%)158 (53.9%)
Yes34 (35.1%)48 (49.0%)53 (54.1%)135 (46.1%)
Systemic therapy (after 1st metastasis)
None27 (27.8%)29 (29.6%)25 (25.5%)81 (27.6%)
Fluoropyrimidines b68 (70.1%)68 (69.4%)72 (73.5%)209 (71.3%)
Oxaliplatin53 (54.6%)60 (61.2%)59 (60.2%)172 (58.7%)
Irinotecan27 (27.8%)23 (23.5%)21 (21.4%)71 (24.2%)
Other chemotherapy c6 (6.2%)4 (4.1%)2 (2.0%)12 (4.1%)
Bevacizumab50 (51.5%)52 (53.1%)52 (53.1%)154 (52.6%)
EGFR inhibitors d4 (4.1%)7 (7.1%)5 (5.1%)16 (5.5%)
Other targeted therapy e1 (1.0%)2 (2.0%)1 (1.0%)4 (1.4%)
Total days on treatment, median (IQR)169 (83, 324)223 (82, 370)215 (118, 471)211 (113, 416)

Low PA, moderate PA, and high PA refer to tertiles of weekly MET-hours, with low PA being the lowest tertile and high PA the highest tertile. Abbreviations: PA, physical activity; MET, metabolic equivalent task; IQR, interquartile range; n, number of patients; p2.5, 2.5th percentile; p97.5, 97.5th percentile; MVPA, moderate and vigorous physical activity; MVPA-SL, sport and leisure time moderate and vigorous physical activity; ACSM, American College of Sports Medicine, SD, standard deviation; BMI, body mass index; and EGFR, epidermal growth factor receptor. a Right: cecum, appendix, ascending colon, hepatic flexure, transverse colon; Left: splenic flexure, descending colon, sigmoid colon; Rectum: rectosigmoid, rectum; Other: not otherwise specified, overlapping. b 5-Fluorouracil, capecitabine, Tegafur/gimeracil/oteracil. c Gemcitabine/carboplatin, Trifluridine/tipiracil. d Cetuximab, Panitumumab. e Ipilimumab, Nivolumab, Pembrolizumab.

Table A1

Characteristics of the study population, compared to the Dutch population with stage IV CRC and compared to all PLCRC participants with stage IV CRC.

CharacteristicsStudy Sample(n = 293)Dutch Population with mCRC between 2013-’17(n = 15,341)PLCRC PARTICIPANTS with mCRC between 2013-Aug’19(n = 918)Standardized Difference a Study Population vs. Dutch PopulationStandardized Difference a Study Population vs. PLCRC Participants
Age in years, mean (SD)62.9 (10.6)68.4 (11.8)62.2 (11.0)0.4910.065
Sex 0.2220.115
Male, n (%)197 (67.2)8669 (56.5)567 (61.2)
Female, n (%)96 (32.8)6672 (43.5)351 (38.2)
Primary tumor localization 0.2490.020
Rectum, n (%)115 (39.2)4234 (27.6)354 (38.6)
Colon, n (%)178 (60.8)11,107 (72.4)564 (61.4)

a Standardized differences (d) are differences in means or proportions divided by the standard error; d > 0.20 indicate a large difference, d 0.10–0.20 indicate a small difference, and d < 0.10 indicate a negligible difference.

3.2. Associations of Physical Activity with OS

Figure 1 shows Kaplan–Meier curves of OS by tertiles of MET-hours, MVPA and MVPA-SL, and by ACSM PA guideline adherence. A total of 106 deaths occurred during a median follow-up time of 18.8 months. Based on the Schoenfeld test, proportionality assumption was met for MET-hours (p value = 0.202), MVPA (p value = 0.164), MVPA-SL (p value = 0.294), and guideline adherence (p value = 0.257).
Figure 1

Kaplan–Meier survival curves, stratified by the following physical activity determinants: tertiles of Metabolic equivalent of task (MET) hours; tertiles of moderate and vigorous physical activity (MVPA); tertiles of sport and leisure time moderate and vigorous physical activity (MVPA-SL); and American College of Sports and Medicine (ACSM) physical activity (PA) guideline adherence. Dotted lines represent median survival time when reached.

Table 2 shows Hazard Ratios (HRs) of the four assessed PA determinants for the univariate and for both multivariable adjusted Cox proportional hazard models.
Table 2

Hazard ratios for overall survival according to continuous data and tertiles of physical activity categories and according to ACSM PA guideline adherence.

Determinant(Median Hours/Week)Events/TotalUnivariate ModelAdjusted Model aFully Adjusted Model b
HR (95% CI)p ValueHR (95% CI)p ValueHR (95% CI)p Value
MET
Continuous106/2930.994 (0.990–0.997)<0.0010.995 (0.991–0.998)0.0010.995 (0.991–0.998)<0.001
Low (33.1)50/97Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (89.9)25/980.388 (0.240–0.628)<0.0010.448 (0.271–0.741)0.0020.491 (0.299–0.807)0.005
High (166)31/980.424 (0.271–0.666)<0.0010.491 (0.306–0.790)0.0030.485 (0.303–0.778)0.003
MVPA
Continuous106/2930.976 (0.958–0.994)0.0100.975 (0.957–0.994)0.0100.973 (0.955–0.992)0.006
Low (0.5)38/95Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (21.6)42/1000.960 (0.617–1.491)0.8550.916 (0.575–1.459)0.7110.889 (0.556–1.423)0.625
High (31.4)26/980.506 (0.307–0.834)0.0080.491 (0.288–0.836)0.0090.476 (0.278–0.816)0.007
MVPA-SL
Continuous106/2930.965 (0.938–0.993)0.0150.955 (0.926–0.986)0.0040.957 (0.927–0.988)0.007
Low (0.0)37/90Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (4.2)45/1050.909 (0.588–1.404)0.6670.769 (0.480–1.230)0.2730.737 (0.462–1.175)0.200
High (14.0)24/980.446 (0.267–0.746)0.0020.384 (0.223–0.661)<0.0010.389 (0.224–0.677)<0.001
ACSM PA Guideline
Non-adherence72/181Ref.Ref.Ref.Ref.Ref.Ref.
Adherence34/1120.628 (0.417–0.945)0.0260.666 (0.439–1.009)0.0550.629 (0.412–0.961)0.032

Abbreviations: HR, hazard ratio; CI confidence interval; MET, Metabolic equivalent task; MVPA, moderate and vigorous physical activity; MVPA-SL sport and leisure time moderate and vigorous activity; ACSM, American College of Sports and Medicine; and PA, physical activity. a Cox proportional hazard model, adjusted for baseline characteristics: age (continuous), sex (female, male), BMI (continuous), primary tumor location (left, right, rectum, other), metastatic sites (1, >1), liver-only metastasis (yes or no), synchronicity of metastasis (yes or no) b Cox model, adjusted for baseline characteristics in model 1, and additional adjustment for treatment-related factors, including surgery on primary tumor (no, yes (before diagnosis of 1st metastasis), or yes (after diagnosis of 1st metastasis)) and metastasectomy (yes or no). Seventeen participants had missing data for body mass index and were excluded from adjusted analysis.

3.2.1. Metabolic Equivalent Task Hours

An increase in weekly MET-hours was consistently significantly associated with improved survival across all models (univariate HR 0.994 (95% CI 0.990–0.997, p value < 0.001); adjusted HR 0.995 (95% CI 0.991–0.998, p value = 0.001); and fully adjusted HR 0.995 (95% CI 0.991–0.998, p value < 0.001)). Median (IQR) MET-hours per week was 33.1 (10.0, 47.4) for the group with low levels, 89.9 (79.4, 104) for the group with moderate levels, and 166 (140, 199) for the group with high levels. Both moderate and high MET-hour levels were consistently significantly associated with improved survival compared to low levels across all models. Compared to low levels of MET-hour/week, the fully adjusted HR for moderate levels of MET-hours per week was 0.491 (95% CI 0.299–0.807, p value = 0.005), and the adjusted HR was 0.448 (95% CI 0.271–0.741, p value = 0.002). For high levels of MET-hours per week compared to low levels, the fully adjusted HR was 0.485 (95% CI 0.303–0.778, p value < 0.001), and the adjusted HR was 0.491 (95% CI 0.306–0.790, p value <0.001).

3.2.2. Moderate and Vigorous Physical Activity

An increase in weekly hours spent on MVPA was consistently significantly associated with improved survival across all models (univariate HR 0.976 (95% CI 0.958–0.994, p value = 0.010); adjusted HR 0.975 (95% CI 0.957–0.994, p value = 0.010); fully adjusted HR 0.973 (95% CI 0.955–0.992, p value = 0.006)). Median (IQR) hours per week spent on MVPA was 0.5 (0.0, 2.4) for the group with low levels, 7.5 (5.1, 10.3) for the group with moderate levels, and 21.6 (16.1, 31.4) for the group with high levels. High levels of MVPA were significantly associated with longer survival compared to low levels (fully adjusted HR 0.476 (95% CI 0.278–0.816, p value = 0.007) and adjusted HR 0.491 (95% CI 0.288–0.836, p value = 0.088)). Moderate levels of MVPA were not significantly associated with longer OS compared to low levels (fully adjusted HR 0.889 (95% CI 0.556–1.423, p value = 0.625), adjusted HR 0.916 (95% CI 0.575–1.459, p value = 0.711)).

3.2.3. Sport and Leisure Time Moderate and Vigorous Physical Activity

An increase in weekly hours spent on MVPA-SL was consistently significantly associated with improved survival across all models (univariate HR 0.965 (95% CI 0.938–0.993, p value = 0.015); adjusted HR 0.955 (95% CI 0.926–0.986, p value = 0.004); and fully adjusted HR 0.957 (95% CI 0.927–0.988, p value = 0.007)). Median (IQR) hours per week spent on MVPA-SL was 0.0 (0.0, 0.3) for the group with low levels, 4.2 (2.5, 5.5) in the group with moderate levels, and 14.0 (10.5, 18.5) in the group with high levels. High levels of MVPA-SL were significantly associated with improved survival compared to low levels (fully adjusted HR 0.389 (95% CI 0.224–0.677, p value < 0.001) and adjusted HR 0.384 (95% CI 0.223–0.661, p value < 0.001)). Moderate levels of MVPA-SL were not associated with a significant difference in OS compared to low levels (fully adjusted HR 0.737 (95% CI 0.462–1.175, p value = 0.200) and adjusted HR 0.769 (95% CI 0.480–1.230, p value = 0.273)).

3.2.4. ACSM Physical Activity Guideline Adherence

Thirty-eight percent (112/293) of participants adhered to ACSM PA guidelines. Guideline adherence was significantly associated with improved survival in the univariate model (HR 0.628, 95% CI = 0.417-0.945, p value = 0.026) and in the fully adjusted model (HR 0.629, 95% CI = 0.412–0.961, p value = 0.032), but not in the adjusted model (HR 0.666, 95% CI = 0.439–1.009, p value = 0.055).

3.2.5. Sensitivity Analyses

Table A2 shows HRs of the four assessed PA determinants with exclusion of participants that died within six months (n = 8). This yielded comparable results for all models with MET-hours, MVPA, and MVPA-SL as determinants. The adjusted model with ACSM PA guideline adherence showed a significant association 0.628 (95% CI 0.407–0.969, p value = 0.036), compared to a non-significant association in the primary analysis.
Table A2

Hazard ratios for overall survival according to continuous data and tertiles of physical activity categories and according to ACSM PA guideline adherence with exclusion of participants that died within six months (n = 8).

Determinant(Median Hours/Week)Events/TotalUnivariate ModelAdjusted Model aFully Adjusted Model b
HR (95% CI)p ValueHR (95% CI)p ValueHR (95% CI)p Value
MET
Continuous98/2850.993 (0.990–0.997)<0.0010.994 (0.990–0.997)<0.0010.994 (0.990–0.997)<0.001
Low (33.3)48/95Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (90.3)22/950.348 (0.210–0.578)<0.0010.370 (0.218–0.628)<0.0010.413 (0.245–0.696)<0.001
High (166)28/950.388 (0.243–0.619)<0.0010.419 (0.256–0.686)0.0010.419 (0.257–0.682)<0.001
MVPA
Continuous98/2850.973 (0.954–0.993)0.0070.972 (0.952–0.992)0.0050.969 (0.950–0.989)0.003
Low (0.6)35/92Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (7.5)40/980.988 (0.626–1.560)0.9600.894 (0.551–1.449)0.6490.867 (0.532–1.412)0.566
High (21.5)23/950.476 (0.281–0.806)0.0060.434 (0.248–0.759)0.0030.416 (0.236–0.733)0.002
MVPA-SL
Continuous98/2850.963 (0.934–0.992)0.0140.951 (0.920–0.983)0.0030.952 (0.920–0.985)0.005
Low (0.3)34/87Ref.Ref.Ref.Ref.Ref.Ref.
Moderate (4.0)43/1030.937 (0.597–1.469)0.7760.720 (0.441–1.176)0.1890.704 (0.433–1.144)0.156
High (14.0)21/950.416 (0.241–0.717)0.0020.332 (0.187–0.589)<0.0010.333 (0.185–0.599)<0.001
ACSM PA Guideline
Non-adherence67/176Ref.Ref.Ref.Ref.Ref.Ref.
Adherence31/1090.606 (0.396–0.928)0.0210.628 (0.407–0.969)0.0360.582 (0.374–0.906)0.016

Abbreviations: HR, hazard ratio; CI confidence interval; MET, Metabolic equivalent task; MVPA, moderate and vigorous physical activity; MVPA-SL sport and leisure time moderate and vigorous activity; ACSM, American College of Sports and Medicine; and PA, physical activity. a Cox proportional hazard model, adjusted for baseline characteristics: age (continuous), sex (female, male), BMI (continuous), primary tumor location (left, right, rectum, other), metastatic sites (1, >1), liver-only metastasis (yes or no), synchronicity of metastasis (yes or no) b Cox model, adjusted for baseline characteristics in model 1, and additional adjustment for treatment-related factors, including surgery on primary tumor (no, yes (before diagnosis of 1st metastasis), or yes (after diagnosis of 1st metastasis)) and metastasectomy (yes or no). Seventeen participants had missing data for body mass index and were excluded from adjusted analysis.

4. Discussion

In this prospective observational cohort of mCRC patients, we found that higher weekly total PA (MET-hours), MVPA, and MVPA-SL at diagnosis of first metastasis was significantly associated with prolonged survival time compared to low levels. When comparing tertiles, significant associations were seen for high levels of MVPA and MVPA-SL, and high and moderate levels of total PA (MET-hours per week). Significant associations with increased survival time were also seen for ACSM PA guideline adherence compared to non-adherence. Greatest risk reductions were seen for high levels of MVPA-SL compared to low levels. To date, the evidence for the relationship between PA and survival in mCRC patients is limited. A previous study by Guercio et al. showed an association between greater non-vigorous activity and improved survival in this patient group, but not of total physical activity [15]. Several other studies have reported data from subgroup analyses of patients with stage IV CRC. One study showed that walking was related to longer OS in mCRC patients [12], whereas two other studies found no associations with survival [13,14]. However, the latter two studies were limited by low numbers. In our study including almost 300 patients with mCRC, we observed clear associations between multiple types of PA and survival. Furthermore, we investigated PA by means of tertiles, instead of dichotomizing PA levels as in the majority of studies. It could be the case that the cut-off for the most active group in other studies simply was not high enough. This is illustrated by the fact that moderate PA levels show little to no difference in survival time compared to low levels of PA for both MVPA and MVPA-SL in our analyses. In this light however, it is important to note that comparing PA associations of different studies poses challenges due to heterogeneity in assessment of physical activity [21,30,31]. These differences are reflected in reported median weekly MET-hours ranging from 10 to 100/week for different questionnaires [8,32,33]. Besides these differences in assessment, interpretation of results for specific activities/activity types poses the additional challenge that distribution of activity types is known to be different per country [34]. Several underlying biological mechanisms might be involved in beneficial associations between PA and survival, including hyperinsulinemia, inflammation, and obesity [35,36]. Reduction in treatment-related toxicities is also described in physically active patients, which could contribute to increased survival time [37]. This might also have occurred in our study, based on the differences in median total time on treatment between the group with low levels of MET-hours, and the groups with moderate and high levels of MET-hours. Future analyses using repeated measures of PA and more detailed analysis of (changes in) systemic treatment will provide additional and valuable insight into associations with survival time when maintaining or increasing PA levels after mCRC diagnosis. These analyses will also inform future randomized controlled trials investigating the effects of physical activity on mCRC outcomes. Strengths of our study include the large nation-wide design and population-based study sample, reflecting a more heterogeneous mCRC population as compared to trial-based study samples. The design of the PLCRC cohort made it possible to compare our study sample to all mCRC participants, showing no notable differences in age or tumor characteristics. Detailed and highly complete demographic and clinical baseline variables allowed us to adjust for known prognostic factors. Information on systemic therapy made it possible to compare exposure to treatment modalities, showing comparable percentages for MET-hour tertiles, whereas data on surgical treatment (including metastasectomies) allowed us to account for beneficial effects on survival during follow-up. However, the association between PA and longer survival was virtually unchanged after adjustment for cancer treatment. This study has some notable limitations to consider as well. First, as this is an observational study with a single measure of PA, the association between PA and OS is at risk for reverse causation. We cannot rule out that a low level of PA is an indicator of worse disease, although we adjusted the analyses for prognostic factors. Additionally, analyses with exclusion of participants who died within six months did not alter our results. Still, residual confounding cannot be ruled out. Furthermore, although mean age from our study sample is higher compared to phase-III clinical trials in mCRC, participants are, on average, 5 years younger than the general mCRC population [29,38], thereby possibly still limiting generalizability of our results. Additionally, our follow-up time was limited with a median follow-up time of 18.8 months. In regard to assessment of our determinant of interest, it should be noted that self-report of PA is inherently vulnerable to misclassification. Subsequently, although the SQUASH questionnaire asks respondents to think about a normal week in the past few months, reporting of baseline activity within sixty days of diagnosis of first metastasis could have been influenced by variance in cancer disease presentation. Nevertheless, the SQUASH questionnaire is a widely used and validated tool to measure habitual PA [21].

5. Conclusions

Higher levels of physical activity at mCRC diagnosis are significantly associated with improved survival. Associations were most pronounced with high levels of moderate to vigorous sport and leisure time physical activity. Future observational studies with repeated PA assessments and randomized studies should assess whether increasing PA levels after mCRC diagnosis reduces mortality risk, and investigate optimal exercise interventions and guidance for mCRC patients.
  31 in total

1.  Association between physical activity and mortality in colorectal cancer: a meta-analysis of prospective cohort studies.

Authors:  Youjin Je; Justin Y Jeon; Edward L Giovannucci; Jeffrey A Meyerhardt
Journal:  Int J Cancer       Date:  2013-07-10       Impact factor: 7.396

2.  Physical activity and survival after colorectal cancer diagnosis.

Authors:  Jeffrey A Meyerhardt; Edward L Giovannucci; Michelle D Holmes; Andrew T Chan; Jennifer A Chan; Graham A Colditz; Charles S Fuchs
Journal:  J Clin Oncol       Date:  2006-07-05       Impact factor: 44.544

3.  Associations of Physical Activity With Survival and Progression in Metastatic Colorectal Cancer: Results From Cancer and Leukemia Group B (Alliance)/SWOG 80405.

Authors:  Brendan J Guercio; Sui Zhang; Fang-Shu Ou; Alan P Venook; Donna Niedzwiecki; Heinz-Josef Lenz; Federico Innocenti; Bert H O'Neil; James E Shaw; Blase N Polite; Howard S Hochster; James N Atkins; Richard M Goldberg; Kaori Sato; Kimmie Ng; Erin Van Blarigan; Robert J Mayer; Charles D Blanke; Eileen M O'Reilly; Charles S Fuchs; Jeffrey A Meyerhardt
Journal:  J Clin Oncol       Date:  2019-08-13       Impact factor: 44.544

4.  Reproducibility and relative validity of the short questionnaire to assess health-enhancing physical activity.

Authors:  G C Wanda Wendel-Vos; A Jantine Schuit; Wim H M Saris; Daan Kromhout
Journal:  J Clin Epidemiol       Date:  2003-12       Impact factor: 6.437

5.  Prospective Dutch colorectal cancer cohort: an infrastructure for long-term observational, prognostic, predictive and (randomized) intervention research.

Authors:  J P M Burbach; S A Kurk; R R J Coebergh van den Braak; V K Dik; A M May; G A Meijer; C J A Punt; G R Vink; M Los; N Hoogerbrugge; P C Huijgens; J N M Ijzermans; E J Kuipers; M E de Noo; J P Pennings; A M T van der Velden; C Verhoef; P D Siersema; M G H van Oijen; H M Verkooijen; M Koopman
Journal:  Acta Oncol       Date:  2016-08-25       Impact factor: 4.089

6.  Meta-analyses of colorectal cancer risk factors.

Authors:  Constance M Johnson; Caimiao Wei; Joe E Ensor; Derek J Smolenski; Christopher I Amos; Bernard Levin; Donald A Berry
Journal:  Cancer Causes Control       Date:  2013-04-06       Impact factor: 2.506

7.  Reproducibility and validity of a self-administered physical activity questionnaire.

Authors:  A M Wolf; D J Hunter; G A Colditz; J E Manson; M J Stampfer; K A Corsano; B Rosner; A Kriska; W C Willett
Journal:  Int J Epidemiol       Date:  1994-10       Impact factor: 7.196

Review 8.  The 2017 Dutch Physical Activity Guidelines.

Authors:  Rianne M Weggemans; Frank J G Backx; Lars Borghouts; Mai Chinapaw; Maria T E Hopman; Annemarie Koster; Stef Kremers; Luc J C van Loon; Anne May; Arend Mosterd; Hidde P van der Ploeg; Tim Takken; Marjolein Visser; G C Wanda Wendel-Vos; Eco J C de Geus
Journal:  Int J Behav Nutr Phys Act       Date:  2018-06-25       Impact factor: 6.457

Review 9.  Impact of physical activity on cancer-specific and overall survival of patients with colorectal cancer.

Authors:  Gaetan Des Guetz; Bernard Uzzan; Thierry Bouillet; Patrick Nicolas; Kader Chouahnia; Laurent Zelek; Jean-François Morere
Journal:  Gastroenterol Res Pract       Date:  2013-10-03       Impact factor: 2.260

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