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. 2025 Mar 20;8(3):e251186. doi: 10.1001/jamanetworkopen.2025.1186

Practice Patterns and Survival Outcomes of Immunotherapy for Metastatic Colorectal Cancer

Shahla Bari 1, Marco Matejcic 2, Richard D Kim 3, Hao Xie 4, Ibrahim H Sahin 5, Benjamin D Powers 6,7, Jamie K Teer 2, Timothy A Chan 8, Seth I Felder 3, Stephanie L Schmit 9,10,
PMCID: PMC11926646  PMID: 40111368

Key Points

Question

What factors are associated with receipt of immune checkpoint inhibitors (ICIs) and survival outcomes in patients with metastatic colorectal cancer (mCRC) in routine clinical practice?

Findings

This cohort study of 18 932 patients found a 63% higher probability of survival among patients with microsatellite instable (MSI-H) mCRC who received early ICI-based treatment compared with chemotherapy. ICIs were associated with 57% and 72% higher survival probability in patients with microsatellite stable (MSS) tumors using antibiotics and with high albumin levels, respectively.

Meaning

This study supports findings from clinical trials and identifies factors that may influence clinical outcomes associated with ICIs in patients with MSS mCRC.


This cohort study evaluates factors associated with receipt of immune checkpoint inhibitors and survival outcomes among patients with metastatic colorectal cancer (CRC) treated in routine clinical practice.

Abstract

Importance

Immune checkpoint inhibitors (ICIs) have been approved for treatment of microsatellite instable (MSI-H) metastatic colorectal cancer (mCRC), but factors associated with receipt and efficacy of ICIs in routine clinical practice remain largely unknown.

Objective

To identify factors associated with receipt of ICIs and associated survival outcomes among patients with mCRC in routine clinical practice.

Design, Setting, and Participants

This population-based cohort study used deidentified data from a nationwide electronic health record–derived database to include 18 932 patients diagnosed with mCRC between January 2013 and June 2019. Population-based patients were diagnosed with de novo mCRC and had at least 2 documented clinical visits on or after the date of diagnosis. The study analyses were performed between September 2020 and April 2021.

Exposure

Patients received ICI therapy and/or chemotherapy as part of a systemic treatment for mCRC.

Main Outcomes and Measures

The outcomes were receipt of ICI therapy, overall survival (OS), and time to treatment discontinuation (TTD).

Results

In this cohort study of 18 932 patients diagnosed with mCRC (10 537 [55.7%] male; 546 [2.9%] Asian, 2005 [10.6%] Black or African American, 1674 [8.8%] Hispanic, 12 338 [65.2%] White, 4043 [21.4%] unknown race or ethnicity; median [IQR] age at metastatic diagnosis, 64.6 [55.0-73.3] years), patients with MSI-H tumors had a significantly higher probability of receiving ICIs than those with microsatellite stable (MSS) tumors (odds ratio [OR], 22.66 [95% CI, 17.30-29.73]; P < .001), whereas patients initially diagnosed with synchronous mCRC had significantly lower odds of receiving ICIs than patients with metachronous mCRC (OR, 0.57 [95% CI, 0.45-0.73]; P < .001). Patients with MSI-H tumors who received ICIs as first line of therapy had significantly longer OS than those receiving chemotherapy only (HR, 0.37 [95% CI, 0.25-0.56]; P < .001). Among patients with MSS tumors, ICI-based therapy was associated with significantly longer OS for patients with high albumin level (vs low: HR, 0.28 [95% CI, 0.18-0.45]; P < .001) and antibiotic use (vs nonuse: HR, 0.43 [95% CI, 0.27-0.67]; P < .001), but a significantly shorter OS for patients with synchronous mCRC (vs metachronous: HR, 1.90 [95% CI, 1.24-2.89]; P = .003). In addition, 29 out of 235 patients with MSS tumors (12.3%) experienced durable responses on ICI-based therapy. Similar patterns of associations with TTD were observed.

Conclusions and Relevance

In this cohort study of patients with mCRC, clinical characteristics were associated with different survival outcomes in patients treated with ICI-based therapy, with important clinical implications for patients with MSS tumors who are generally unresponsive to immunotherapy.

Introduction

Approximately 25% of patients with colorectal cancer (CRC) have metastatic disease at initial diagnosis, and an additional 25% who present with clinically local-regional disease develop metastases.1 In recent years, clinical trials have shown that treatment with immune checkpoint inhibitors (ICIs) provides durable response as well as longer survival in patients with microsatellite instable (MSI-H) mCRC that are refractory to conventional treatment.2,3,4,5 These results led to the accelerated approval of ICIs for refractory MSI-H mCRC by the US Food and Drug Administration (FDA) in 2017,6 followed by approval as first-line treatment in 2020.7 However, clinical trials are often limited by modest sample size and strict inclusion criteria; larger studies using data from routine clinical care are needed to confirm the effectiveness of ICIs in a routine clinical practice setting.8,9 In addition, overall survival (OS) has limitations in assessing the safety and efficacy of ICIs because it inherently captures the impact of all therapies administered to the patient before or after the ICI-containing regimen as well as competing causes of death. Time to treatment discontinuation (TTD), which reflects the period patients may have derived benefit from the intervention, has been increasingly used in routine clinical practice studies as a surrogate of OS and may serve as a better proxy of therapeutic index.10,11

Using annotated and/or audited electronic health record (EHR) data from the Flatiron Health database, we conducted a retrospective study of 23 963 patients with mCRC to identify factors associated with receipt of ICIs compared with conventional treatment in US oncology practices. In addition, we investigated factors that may be associated with OS and TTD in patients treated with ICIs.

Methods

Data Source and Patient Selection

A total of 23 963 patients with mCRC were selected from the nationwide Flatiron Health electronic health record (EHR)-derived deidentified database.12 Patients were diagnosed with mCRC and had at least 2 documented clinical visits on or after January 1, 2013, through June 31, 2019, with follow-up through December 31, 2019. A total of 18 932 patients from the routine clinical practice cohort who received treatment for mCRC met eligibility criteria and were selected for this study. Details on the Flatiron Health database and patient selection are presented in the eMethods of Supplement 1, and a flowchart of sample selection and sample size used in each analysis is presented in the eFigure in Supplement 1. The study protocol was deemed not to be human participants research by the Moffitt Cancer Center scientific review committee. Informed consent was not required as this was a noninterventional study using deidentified patient records. The reporting of results in this cohort study adhere to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Data Collection

Baseline demographic, clinical, and tumor characteristics of patients included birth year, primary cancer site, disease stage at initial diagnosis, date of metastatic diagnosis, sex, race, ethnicity, tumor mutational status for KRAS, BRAF, and NRAS genes, mismatch repair (MMR) status, insurance status at initial diagnosis, practice type (academic or community), Eastern Cooperative Oncology Group (ECOG) performance status, blood albumin level, and antibiotic and proton pump inhibitor (PPI) use. Patient race (Asian, Black or African American, White) and ethnicity (Hispanic/Latino, non-Hispanic/non-Latino) data were collected from patients via EHR, survey, and self-report. This information was recorded directly into the EHR or in the practice management system, which was later imported into the EHR. ECOG performance status and blood albumin level were recorded within 3 months prior to or after immunotherapy initiation. Antibiotic and proton pump inhibitor (PPI) use was recorded from 1 month before until the end of immunotherapy. Individual antibiotic classes and breakdown of patients receiving these drugs in each class are presented in eTable 1 in Supplement 1. Details on measurement and categorization of each variable are presented in Supplement 1.

Date of death was identified using structured and unstructured EHR-derived data such as clinician notes and condolence letters, external death data sources from the US Social Security Death Index,13 and a commercial death dataset that mines data from obituaries, funeral homes, and other sources.14 Death dates were available at month- and year-level granularity, and the 15th of each month was used for analytical purposes.

Clinical End Points

ICI-based therapy was defined as the administration of any of the following drugs during treatment of mCRC: nivolumab, pembrolizumab, atezolizumab, ipilimumab, tremelimumab, durvalumab, or avelumab. Primary outcomes were receipt of ICI-based therapy (yes/no) and OS, defined as the time from index date to date of death, last known follow-up, or end of study period (December 31, 2019), whichever occurred first. The secondary outcome was TTD, defined as the time from the first to the last episode of treatment regimen, last known follow-up, or death, whichever occurred first. Index date (date on which patients received their first treatment administration) was defined differently based on group comparison in survival models (eMethods in Supplement 1). Censoring was carried out using medication, mortality, and visit information (eMethods in Supplement 1).

Statistical Analysis

The primary study analyses were conducted between September 2020 and April 2021. Descriptive statistics were used to summarize baseline patient characteristics by receipt of ICI-based therapy (no vs yes) and by MMR status (MSS vs MSI-H). Between-group differences were assessed using the Kruskal-Wallis test for numerical variables, and χ2 test for categorical variables.

Multivariable logistic regression was used to estimate odds ratios (OR) and 95% CIs for factors associated with receipt of ICIs. We also analyzed receipt of ICI-based therapy stratified by MMR status. The following covariates were preselected based on clinical knowledge and included in multivariable models because of statistically significant associations in univariate tests of independence (Kruskal-Wallis test or χ2 test P < .05): sex (female vs male), stage at initial diagnosis (I-III vs IV), primary cancer site (colon vs rectum), MMR status (MSS vs MSI-H), and BRAF mutation status (wild-type vs positive).

The Kaplan-Meier method and log-rank test were used to estimate differences in median time to event (death for OS; treatment discontinuation for TTD) between prespecified subgroups. The correlation between OS and TTD among patients treated with ICIs was assessed through the Spearman rank correlation coefficient (ρ) and 95% CIs. The correlation analysis was restricted to patients who died during the study period.

Multivariable Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% CIs for the associations between patient characteristics and the event of interest (OS or TTD). We also analyzed clinical outcomes stratified by MMR status. The following covariates were preselected based on clinical knowledge and included in the multivariable models because of statistically significant associations in univariable models (log-rank test P < .05): sex (female vs male), stage at initial diagnosis (I-III vs IV), primary cancer site (colon vs rectum), MMR status (MSS vs MSI-H), KRAS mutation status (wild-type vs positive), immunotherapy as first-line treatment (no vs yes), immunotherapy plus chemotherapy (no vs yes), ECOG performance status (0-1 vs 2-4), albumin levels (<3 g/dL vs ≥3 g/dL [SI conversion factor: to convert albumin to g/dL, multiply by 10]), and antibiotic use (no vs yes).

Patients with missing values for any of the covariates were excluded from multivariable models. However, sensitivity analyses were conducted to evaluate the robustness of the analytical approach and confirm the results obtained in the main sample (see details in Supplement 1).

Statistical significance was assessed at 2-sided P < .05. All analyses were performed using R version 3.5.0 (R Project for Statistical Computing) from September 2020 to April 2021. Flatiron Health Inc did not participate in the analysis of the data.

Results

Among a total of 18 932 patients included in this study, 10 537 (55.7%) were male; 546 (2.9%) were Asian, 2005 (10.6%) were Black or African American, 1674 (8.8%) were Hispanic, 12 338 (65.2%) were White, 4043 (21.4%) had unknown race or ethnicity; and the median (IQR) age at metastatic diagnosis was 64.6 (55.0-73.3) years (eTable 2 in Supplement 1). The median (IQR) follow-up period from the date of mCRC diagnosis to either date of death, last observed follow-up, or end of study period was 16.7 (8.3-29.5) months.

Factors Associated With Receipt of Immunotherapy

Of the 18 932 patients selected for this study, 566 patients (3.0%) received ICIs at some point during treatment. Among the 6451 patients (34.1%) diagnosed with mCRC after FDA approval of ICIs for treatment of refractory MSI-H mCRC, 220 patients (3.4%) received ICIs at some point during treatment (eTable 3 in Supplement 1).

Patient characteristics stratified by receipt of ICI-based therapy are summarized in eTable 2 in Supplement 1. A significantly higher likelihood of receiving ICIs was observed among female patients (vs males), patients initially diagnosed at stage I-III (vs stage IV), with colon cancer (vs rectal cancer), MSI-H tumors (vs MSS tumors), BRAF mutations (vs wild-type), or diagnosed after FDA approval (vs before). No significant difference in immunotherapy receipt was found by race, ethnicity, insurance status at diagnosis, practice type, age at metastatic diagnosis, and KRAS or NRAS mutation status.

In a multivariable logistic regression model (Table 1), patients with MSI-H tumors had 22-fold higher odds of receiving ICIs than those with MSS tumors (OR, 22.66 [95% CI, 17.30-29.73]; P < .001). Patients diagnosed with synchronous mCRC (ie, stage IV at initial diagnosis) had significantly lower odds of receiving ICIs compared with patients with metachronous mCRC (OR, 0.57 [95% CI, 0.45-0.73]; P < .001), and the difference remained statistically significant in both the MSI-H cohort (OR, 0.49 [95% CI, 0.34-0.72]; P < .001) and the MSS cohort (OR, 0.64 [95% CI, 0.46-0.89]; P = .007). Estimates for the association between patient characteristics and immunotherapy receipt restricted to patients diagnosed with mCRC after FDA approval (n = 6421) were similar with those in the overall patient population in terms of magnitude, directionality, and statistical significance (eTable 4 in Supplement 1).

Table 1. Multivariable Logistic Regression Models for Association Between Characteristics of Patients With Metastatic Colorectal Cancer and Receipt of Immunotherapy.

Characteristics All patients (n = 7412)a,b,c MSI-H tumor carriers (n = 508) MSS tumor carriers (n = 6904)
Immunotherapy, No. Adjusted OR (95% CI)d P value Immunotherapy, No. Adjusted OR (95% CI) P value Immunotherapy, No. Adjusted OR (95% CI) P value
No Yes No Yes No Yes
Sex
Female 3123 170 1 [Reference] .19 163 99 1 [Reference] .25 2060 71 1 [Reference] .45
Male 3957 162 0.84 (0.66-1.09) 164 82 0.80 (0.54-1.18) 3793 80 0.88 (0.64-1.22)
Disease stage at initial diagnosise
I-III 2629 182 1 [Reference] <.001 144 111 1 [Reference] <.001 2485 71 1 [Reference] .007
IV 4451 150 0.57 (0.45-0.73) 183 70 0.49 (0.34-0.72) 4268 80 0.64 (0.46-0.89)
Primary cancer site
Colon 5456 288 1 [Reference] .37 307 168 1 [Reference] .70 5149 120 1 [Reference] .26
Rectum 1624 44 0.85 (0.60-1.21) 20 13 1.16 (0.55-2.45) 1604 31 0.79 (0.53-1.19)
MMR status
MSS 6753 151 1 [Reference] <.001 NA NA 1 [Reference] -NA NA NA 1 [Reference] NA
MSI-H 327 181 22.66 (17.30-29.73) NA NA NA NA NA NA
BRAF mutation status
Wild-type 6364 240 1 [Reference] .97 191 103 1 [Reference] .98 6173 137 1 [Reference] .89
Positive 716 92 1.01 (0.73-1.38) 136 78 0.99 (0.67-1.48) 580 14 1.04 (0.60-1.82)

Abbreviations: MMR, mismatch repair; MSI-H, microsatellite instable; MSS, microsatellite stable; NA, not applicable; OR, odds ratio.

a

Number of patients retained in the multivariate models.

b

Sample includes patients diagnosed with metastatic colorectal cancer between January 1, 2015, and December 31, 2019.

c

Sample includes patients with unknown MMR status.

d

Models were adjusted for sex, stage at initial diagnosis, primary cancer site, MMR status, and BRAF mutation status.

e

All patients in the cohort were either diagnosed with metastatic colorectal cancer or had progressed to metastatic disease after early-stage diagnosis.

Patterns of Immunotherapy Treatment

Treatment patterns and performance status of patients who received ICI-based therapy (n = 566) are presented in eTable 5 in Supplement 1. Compared to patients with MSS tumors (n = 235), those with MSI-H tumors (n = 234) had a significantly higher likelihood of receiving ICIs as first-line treatment (80 [34.2%] vs 28 [11.9%] for MSS cohort; P < .001) or as monotherapy (219 [93.6%] vs 174 [74.0%] for MSS cohort; P < .001). In addition, patients with MSI-H tumors had a significantly higher median age at metastatic diagnosis (66.5 vs 60.4 years for MSS cohort, P < .001) and were significantly more likely to have metachronous mCRC (135 [57.7%] vs 45 [46.4%] for MSS cohort; P = .02). Patterns of immunotherapy treatment were similar among patients diagnosed with mCRC after FDA approval, except for a lack of statistically significant difference in median age at metastatic diagnosis by MMR status (eTable 6 in Supplement 1).

Association of Immunotherapy With Clinical Outcomes

Figure 1 shows Kaplan-Meier survival curves for OS and TTD in all patients with mCRC (n = 18 932). The median OS was 21.0 (95% CI, 20.5-21.4) months, while the median TTD was 5.3 (95% CI, 5.2-5.3) months. For patients who died during the study period (n = 10 783), the correlation between OS and TTD was ρ = 0.63 (95% CI, 0.61-0.64).

Figure 1. Kaplan-Meier Survival Curves for Overall Survival (OS) and Time to Treatment Discontinuation (TTD) in All Patients With Metastatic Colorectal Cancer.

Figure 1.

Index date was the first episode of any systemic treatment regimen administered on or after the date of metastatic disease being diagnosed. For patients who died during the study period (n = 10 783), the correlation between OS and TTD was estimated using the Spearman rank test: ρ = 0.63 (95% CI, 0.61-0.64).

The associations between receipt of immunotherapy (vs chemotherapy only) and clinical outcomes were statistically significantly different between the MSI-H and MSS cohorts (OS P for interaction = .002; TTD P for interaction = .03). Survival estimates by line of immunotherapy receipt are shown in eTable 7 in Supplement 1. Compared with patients treated with chemotherapy only (no immunotherapy), a significantly longer OS was observed for patients who received ICIs as first line of therapy (HR, 0.60 [95% CI, 0.44-0.82]; P = .002), but not for those who received ICIs as second or later line of therapy. When patients were stratified by MMR status, those with MSI-H tumors had a significantly longer OS associated with first line of ICI-based therapy compared with chemotherapy (HR, 0.37 [95% CI, 0.25-0.56]; P < .001) whereas no association was found in the MSS cohort. Line of immunotherapy receipt was not associated with TTD in the MSI-H cohort.

Factors Associated With Response to Immunotherapy

Median OS and TTD estimates stratified by characteristics of patients treated with ICIs (n = 566) are shown in eTable 8 in Supplement 1, and Kaplan-Meier curves by MMR status are presented in Figure 2. Among immunotherapy-treated patients, those with MSI-H tumors had a significantly reduced hazard of death (OS log-rank P < .001) and a lower likelihood of immunotherapy discontinuation (TTD log-rank P < .001) relative to patients with MSS tumors.

Figure 2. Kaplan-Meier Curves for Overall Survival (OS) and Time to Treatment Discontinuation (TTD) by Microsatellite Stability Status Among Patients With Metastatic Colorectal Cancer Treated With Immunotherapy.

Figure 2.

Index date was the start of immune checkpoint inhibitor (ICI)-based therapy defined as the first administration or noncancelled order of any of the following drugs: nivolumab, pembrolizumab, atezolizumab, ipilimumab, tremelimumab, durvalumab, or avelumab. A, Patients with microsatellite instable (MSI-H) tumors had a significantly reduced hazard of death (overall survival log-rank P < .001) compared with patients with microsatellite stable (MSS) tumors. B, Patients with MSI-H tumors had a significantly lower likelihood of immunotherapy discontinuation (TTD log-rank P < .001) relative to patients with MSS tumors.

Results from multivariable Cox proportional hazards models for OS and TTD among patients who received ICI-based therapy are shown in Table 2 and Table 3, respectively. For OS, patients with synchronous mCRC had a significantly higher hazard of death than patients with metachronous mCRC (HR, 1.65 [95% CI, 1.19-2.29]; P = .003), while the hazard of death was significantly lower in patients with MSI-H tumors (vs MSS: HR, 0.32 [95% CI, 0.22-0.47]; P < .001), high albumin level (vs low level: HR, 0.37 [95% CI, 0.25-0.54]; P < .001) and antibiotic use (vs nonuse: HR, 0.51 [95% CI, 0.36-0.74]; P < .001). In the MSI-H cohort, a significantly higher hazard of death was observed for males (vs females: HR, 2.97 [95% CI, 1.60-5.52]; P < .001) and patients with ECOG 2 to 4 (vs 0 to 1: HR, 2.3 [95% CI, 1.08-4.93]; P = .03). In the MSS cohort, the hazard of death was significantly higher in patients with synchronous mCRC (vs metachronous: HR, 1.90 [95% CI, 1.24-2.89]; P = .003), but significantly lower in patients with high albumin level (vs low level: HR, 0.28 [95% CI, 0.18-0.45]; P < .001) and who used antibiotics (vs nonuse: HR, 0.43 [95% CI, 0.27-0.67]; P < .001).

Table 2. Multivariable Cox Proportional Hazards Models for Differences in OS Among Patients With Metastatic Colorectal Cancer Treated With Immunotherapya.

Characteristics All patients (161 events/307 total)b,c,d MSI-H tumor carriers (52 events/146 total) MSS tumor carriers (109 events/161 total)
Patients, No. Events, No. (% total)e Adjusted HR (95% CI)f P value Patients, No. Events, No. (% total) Adjusted HR (95% CI) P value Patients, No. Events, No. (% total) Adjusted HR (95% CI) P value
OS
Sex
Female 147 67 (41.6) 1 [Reference] .14 77 19 (36.5) 1 [Reference] <.001 70 48 (44.0) 1 [Reference] .92
Male 160 94 (58.4) 1.28 (0.92-1.76) 69 33 (63.5) 2.97 (1.6-5.52) 91 61 (56.0) 0.98 (0.66-1.46)
Disease stage at initial diagnosisg
I-III 168 77 (47.8) 1 [Reference] .003 87 30 (57.7) 1 [Reference] .28 81 47 (43.1) 1 [Reference] .003
IV 139 84 (52.2) 1.65 (1.19-2.29) 59 22 (42.3) 1.39 (0.77-2.5) 80 62 (56.9) 1.90 (1.24-2.89)
Primary cancer site
Colon 257 128 (79.5) 1 [Reference] .39 137 46 (88.5) 1 [Reference] .10 120 82 (75.2) 1 [Reference] .55
Rectum 50 33 (20.5) 1.2 (0.79-1.8) 9 6 (11.5) 2.15 (0.86-5.37) 41 27 (24.8) 1.16 (0.72-1.86)
MMR status
MSS 161 109 (67.7) 1 [Reference] <.001 NA NA 1 [Reference] NA NA NA 1 [Reference] NA
MSI-H 146 52 (32.3) 0.32 (0.22-0.47) NA NA NA NA NA NA
KRAS status
Wild-type 176 82 (50.9) 1 [Reference] .99 105 38 (73.1) 1 [Reference] .74 71 44 (40.4) 1 [Reference] .88
Positive 131 79 (49.1) 1 (0.72-1.4) 41 14 (26.9) 0.9 (0.47-1.72) 90 65 (59.6) 0.97 (0.65-1.45)
Immunotherapy as first treatment
No 251 145 (90.1) 1 [Reference] .11 103 40 (76.9) 1 [Reference] .13 148 105 (96.3) 1 [Reference] .30
Yes 56 16 (9.9) 0.63 (0.36-1.11) 43 12 (23.1) 0.58 (0.29-1.17) 13 4 (3.7) 0.57 (0.2-1.64)
ECOG statush
0-1 240 121 (75.2) 1 [Reference] .19 111 35 (67.3) 1 [Reference] .03 129 86 (78.9) 1 [Reference] .52
2-4 67 40 (24.8) 1.29 (0.88-1.89) 35 17 (32.7) 2.3 (1.08-4.93) 32 23 (21.1) 1.17 (0.73-1.88)
Albumin levelh
<3g/dL 52 38 (23.6) 1 [Reference] <.001 24 12 (23.1) 1 [Reference] .77 28 26 (23.9) 1 [Reference] <.001
≥3g/dL 255 123 (76.4) 0.37 (0.25-0.54) 122 40 (76.9) 0.89 (0.39-2.03) 133 83 (76.1) 0.28 (0.18-0.45)
Antibiotic usei
No 209 117 (72.7) 1 [Reference] <.001 101 38 (73.1) 1 [Reference] .30 108 79 (72.5) 1 [Reference] <.001
Yes 98 44 (27.3) 0.51 (0.36-0.74) 45 14 (26.9) 0.7 (0.35-1.37) 53 30 (27.5) 0.43 (0.27-0.67)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; ICI, immune checkpoint inhibitor; MMR, mismatch repair; MSI-H, microsatellite instable; MSS, microsatellite stable; OS, overall survival; PPI, proton pump inhibitor.

SI unit conversion: To convert albumin to g/L, multiply by 10.

a

Each patient had a diagnosis of metastatic colorectal cancer (International Classification of Diseases, Ninth Revision [ICD-9]: 153.x, 154.x; ICD-10: C18x, C19x, C20x, C21x) and at least 2 documented clinical visits between January 2013 and December 2019. Sensitivity analyses were carried out on patients diagnosed after Food and Drug Administration approval of ICIs for treatment of MSI-H metastatic colorectal cancer (May 2017).

b

Number of patients retained in the multivariate models.

c

Sample includes metastatic colorectal cancer patients who received immune checkpoint inhibitors between January 1, 2015, and December 31, 2019.

d

Sample includes patients with unknown MMR status.

e

Index date was the start of ICI-based therapy defined as the first administration or noncancelled order of any of the following drugs: nivolumab, pembrolizumab, atezolizumab, ipilimumab, tremelimumab, durvalumab, or avelumab.

f

For OS, models were adjusted for sex, stage at initial diagnosis, primary cancer site, MMR status, KRAS mutation status, immunotherapy as first-line treatment, ECOG performance status, albumin levels, and antibiotic use.

g

All patients in the cohort were either diagnosed with metastatic colorectal cancer or had progressed to metastatic disease after early-stage diagnosis.

h

ECOG status and albumin levels were recorded 3 months before or after immunotherapy initiation.

i

Antibiotics or PPIs taken anytime from 1 month before the start of immunotherapy until the end.

Table 3. Multivariable Cox Proportional Hazards Models for Differences in TTD Among Patients With Metastatic Colorectal Cancer Treated With Immunotherapya.

Characteristics All patients (253 events/371 total)b,c,d MSI-H tumor carriers (96 events/177 total) MSS tumor carriers (157 events/194 total)
Patients, No. Events, No. (% total)e Adjusted HR (95% CI)f P value Patients, No. Events, No. (% total) Adjusted HR (95% CI) P value Patients, No. Events, No. (% total) Adjusted HR (95% CI) P value
TTD
Sex
Female 185 121 (47.8) 1 [Reference] .02 93 45 (46.9) 1 [Reference] .02 92 76 (48.4) 1 [Reference] .41
Male 186 132 (52.2) 1.34 (1.04-1.73) 84 51 (53.1) 1.67 (1.08-2.57) 102 81 (51.6) 1.15 (0.82-1.62)
Disease stage at initial diagnosis
I-III 196 120 (47.4) 1 [Reference] <.001 102 53 (55.2) 1 [Reference] .17 94 67 (42.7) 1 [Reference] <.001
IV 175 133 (52.6) 1.74 (1.34-2.26) 75 43 (44.8) 1.37 (0.87-2.13) 100 90 (57.3) 1.92 (1.36-2.70)
Primary cancer site
Colon 313 208 (82.2) 1 [Reference] .69 165 86 (89.6) 1 [Reference] .06 148 122 (77.7) 1 [Reference] .60
Rectum 58 45 (17.8) 1.07 (0.76-1.51) 12 10 (10.4) 1.93 (0.97-3.84) 46 35 (22.3) 0.90 (0.60-1.34)
MMR status
MSS 194 157 (62.1) 1 [Reference] <.001 NA NA 1 [Reference] NA NA NA 1 [Reference] NA
MSI-H 177 96 (37.9) 0.41 (0.30-0.55) NA NA NA NA NA NA
KRAS status
Wild-type 209 129 (51.0) 1 [Reference] .40 126 65 (67.7) 1 [Reference] .70 83 64 (40.8) 1 [Reference] .88
Positive 162 124 (49.0) 1.12 (0.86-1.46) 51 31 (32.3) 1.09 (0.69-1.72) 111 93 (59.2) 1.03 (0.72-1.46)
Immunotherapy as first treatment
No 305 219 (86.6) 1 [Reference] .57 128 71 74.0) 1 [Reference] .57 177 148 (94.3) 1 [Reference] .33
Yes 66 34 (13.4) 0.89 (0.60-1.32) 49 25 (26.0) 0.86 (0.52-1.44) 17 9 (5.7) 0.71 (0.35-1.46)
Immunotherapy plus chemotherapyg
No 314 202 (79.8) 1 [Reference] .51 166 85 (88.5) 1 [Reference] .047 148 117 (74.5) 1 [Reference] .73
Yes 57 51 (20.2) 1.11 (0.81-1.54) 11 11 (11.5) 2.02 (1.01-4.03) 46 40 (25.5) 0.94 (0.65-1.36)
Albumin levelh
<3g/dL 59 45 (17.8) 1 [Reference] <.001 28 16 (16.7) 1 [Reference] .38 31 29 (18.5) 1 [Reference] <.001
≥3g/dL 312 208 (82.2) 0.54 (0.39-0.76) 149 80 (83.3) 0.78 (0.44-1.36) 163 128 (81.5) 0.44 (0.29-0.67)
Antibiotic usei
No 250 170 (67.2) 1 [Reference] .006 120 65 (67.7) 1 [Reference] .22 130 105 (66.9) 1 [Reference] .008
Yes 121 83 (32.8) 0.68 (0.52-0.90) 57 31 (32.3) 0.75 (0.47-1.19) 64 52 (33.1) 0.62 (0.44-0.88)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; ICI, immune checkpoint inhibitor; MMR, mismatch repair; MSI-H, microsatellite instable; MSS, microsatellite stable; PPI, proton pump inhibitor; TTD, time to treatment discontinuation.

SI unit conversion: To convert albumin to g/L, multiply by 10.

a

Each patient had a diagnosis of metastatic colorectal cancer (International Classification of Diseases, Ninth Revision [ICD-9]: 153.x, 154.x; ICD-10: C18x, C19x, C20x, C21x) and at least 2 documented clinical visits between January 2013 and December 2019. Sensitivity analyses were carried out on patients diagnosed after Food and Drug Administration approval of ICIs for treatment of MSI-H metastatic colorectal cancer (May 2017).

b

Number of patients retained in the multivariate models.

c

Sample includes metastatic colorectal cancer patients who received immune checkpoint inhibitors between January 1, 2015, and December 31, 2019.

d

Sample includes patients with unknown MMR status.

e

Index date was the start of ICI-based therapy defined as the first administration or noncancelled order of any of the following drugs: nivolumab, pembrolizumab, atezolizumab, ipilimumab, tremelimumab, durvalumab, or avelumab.

f

For TTD, models were adjusted for sex, stage at initial diagnosis, primary cancer site, MMR status, KRAS mutation status, immunotherapy as first-line treatment, immunotherapy plus chemotherapy, albumin levels, and antibiotic use.

g

Immune checkpoint inhibitors given in combination with chemotherapeutic agents in the same line of therapy.

h

ECOG status and albumin levels were recorded 3 months before or after immunotherapy initiation.

i

Antibiotics or PPIs taken anytime from 1 month before the start of immunotherapy until the end.

For TTD, a significantly lower likelihood of immunotherapy discontinuation was observed for patients with MSI-H tumors (vs MSS cohort: HR, 0.41 [95% CI, 0.30-0.55]; P < .001), high albumin level (vs low: HR = 0.54, 95% CI, 0.39-0.76]; P < .001) and antibiotic use (vs nonuse: HR, 0.68 [95% CI, 0.52-0.90]; P = .006), while males (vs females: HR, 1.34 [95% CI, 1.04-1.73]; P = .02) and patients with synchronous mCRC (vs metachronous: HR, 1.65 [95% CI, 1.23-2.21]; P < .001) were significantly more likely to discontinue immunotherapy. In the MSI-H cohort, both sex (males vs females: HR, 1.67 [95% CI, 1.08-2.57]; P = .02) and combination therapy (vs monotherapy: HR, 2.02 [95% CI, 1.01-4.03]; P = .047) were associated with higher likelihood of immunotherapy discontinuation. On the other hand, patients with MSS tumors had a significant difference in immunotherapy discontinuation by disease stage (synchronous vs metachronous mCRC: HR, 1.92 [95% CI, 1.36-2.70]; P < .001), albumin level (high vs low: HR, 0.44 [95% CI, 0.29-0.67]; P < .001) and antibiotic use (yes vs no: HR, 0.62 [95% CI, 0.44-0.88]; P = .008). Of note, 29 out of 235 patients with MSS tumors (12.3%) had a durable response to ICIs as measured by a TTD greater than 6 months, while 16 out of the 122 patients with MSS/KRAS-mutated tumors (13.1%) had a durable response to ICIs.

When the analysis was restricted to patients diagnosed with mCRC after FDA approval, disease stage at initial diagnosis was no longer associated with either OS or TTD in the MSS cohort (eTable 9 in Supplement 1). In addition, sex was no longer significantly associated with either OS or TTD in the MSI-H cohort. Significant associations emerged between OS and rectal cancer (vs colon cancer: HR, 5.38 [95% CI, 1.04-27.76]; P = .045) or antibiotic use (vs nonuse: HR, 0.31 [95% CI, 0.1-0.99]; P = .048) in the MSI-H cohort.

Sensitivity Analyses

A sensitivity analysis excluding patients with no structured activity within 90 days from mCRC diagnosis (n = 2638 [13.9%] of all patients; n = 55 [9.7%] of patients treated with immunotherapy) showed no substantial difference in associations in the multivariable models. In line with the main results, immunotherapy receipt was significantly lower in patients with synchronous mCRC (vs metachronous: OR, 0.60 [95% CI, 0.49-0.73]; P < .001), but significantly higher in patients with MSI-H tumors (vs MSS tumors: OR, 20.3 [95%CI = 16.1-25.7]; P < .001). In the MSI-H patient subgroup, immunotherapy was associated with a higher hazard of death among male patients (vs female patients: OR, 2.05 [95% CI, 1.15-3.63]; P = .01) and with a higher likelihood of immunotherapy discontinuation among patients with combination therapy (vs monotherapy: OR, 2.24 [95% CI, 1.12-4.45]; P = .02). However, unlike in the main analysis, patients with ECOG 2 to 4 had no survival benefits compared with patients with ECOG 0 to 1 (OR, 1.69 [95% CI, 0.86-3.33]; P = .13), while males had no higher likelihood of immunotherapy discontinuation compared with females (OR, 1.37 [95% CI, 0.91-2.08]; P = .13). In the MSS patient subgroup, we confirmed all associations observed in the main analysis; specifically, we observed associations between OS and disease stage at diagnosis (OR, 1.75 [95% CI, 1.15-2.65]; P = .008), albumin level (OR, 0.27 [95% CI, 0.17-0.43]; P < .001) and antibiotic use (OR, 0.43 [95% CI, 0.28-0.68]; P < .001), as well as associations between TTD and disease stage at diagnosis (OR, 1.74 [95% CI, 1.23-2.45]; P = .002), albumin level (OR, 0.42 [95% CI, 0.28-0.63]; P < .001), and antibiotic use (OR, 0.69 [95% CI, 0.48-0.99]; P = .04).

The multivariable logistic regression models and Cox proportional hazards models including missing values for MMR status, BRAF mutation status, KRAS mutation status, and ECOG status showed consistent associations compared with models without missing values for these variables. Patients who received immunotherapy were significantly less likely to have synchronous mCRC (vs metachronous: OR, 0.59 [95% CI, 0.49-0.71]; P < .001) but significantly more likely to carry MSI-H tumors (vs MSS tumors: OR, 0.71 [95% CI, 15.85-24.81]; P < .001). Among patients with MSI-H tumors treated with immunotherapy, the hazard of death was significantly higher among males (vs females: OR, 2.16 [95% CI, 1.25-3.72]; P = .006), but unlike the main results, ECOG 2 to 4 was not associated with reduced survival probability (vs 0-1: OR, 1.84 [95% CI, 0.97-3.48]; P = .06). On the other hand, the likelihood of immunotherapy discontinuation was no longer significantly higher in males (vs females: OR, 1.41 [95% CI, 0.95-2.1]; P = .09), but was still significantly higher in patients with combination therapy (vs monotherapy: OR, 2.13 [95% CI, 1.1-4.1]; P = .02). In the MSS patient subgroup treated with immunotherapy, we confirmed the associations between OS and disease stage at initial diagnosis (OR, 1.86 [95% CI, 1.25-2.77]; P = .002), albumin level (OR, 0.27 [95% CI, 0.17-0.43]; P < .001), and antibiotic use (OR, 0.41 [95% CI, 0.26-0.64]; P < .001), and the associations between TTD and disease stage at initial diagnosis (OR, 1.86 [95% CI, 1.35-2.58]; P < .001), albumin level (OR, 0.42 [95% CI, 0.28-0.63]; P < .001), and antibiotic use (OR, 0.63 [95% CI, 0.45-0.89]; P = .008).

Discussion

In this study of routine clinical practice data from US oncology practices, patients with MSI-H mCRC who received ICIs in an early line of therapy had significantly longer survival expectancy and lower likelihood of therapy discontinuation compared with those treated with chemotherapy only. Our findings provide substantial evidence to support results from the Keynote 177 study toward higher efficacy of first-line pembrolizumab vs chemotherapy for patients with MSI-H mCRC.15 Although patients with MSS mCRC do not benefit from currently available ICI-based therapies, we found that 12.3% of patients with MSS tumors had durable responses following ICI-based therapy. We also found that antibiotics may confer an advantage to patients with MSS tumors treated with ICIs, which suggests a microbiome-mediated favorable modulation of the immune response.

Based on our analysis of factors associated with immunotherapy receipt, both MMR status and disease stage at CRC diagnosis emerged as potential key factors in ICI-based treatment decision-making regardless of pre- or post-FDA approval. In accordance with guidelines from earlier clinical trials,2,3 ICIs were most frequently prescribed as monotherapy (82.9%) and as secondary treatment following chemotherapy (77.4%).

Among patients with MSI-H tumors treated with immunotherapy, females and those with ECOG 0 to 1 (little to no impairment) had significantly higher survival probability than males and those with ECOG 2 to 4. Sex-based differences in survival have previously been reported in patients with mCRC and have been attributed to hormonal status as well as immunological factors.16,17,18 Tumors in women generally have lower antigenicity compared with men; however, in tumors with high mutational burden (such as MSI-H tumors), ICIs have been found to be more effective in women.19

Patients with MSI-H tumors who received ICIs as monotherapy had significantly lower likelihood of immunotherapy discontinuation than those who received combination therapy (immunotherapy plus chemotherapy in the same line of therapy). This finding could be secondary to lower toxic effects of immunotherapy and absence of chemotherapy-associated immunosuppression.20

Our findings provide routine clinical practice confirmation of the lack of substantial clinical benefits of ICI-based therapy for patients with MSS tumors with advanced CRC that has been reported in clinical trials.21 However, among patients with MSS mCRC treated with ICIs, synchronous disease was associated with increased hazard of death as well as higher likelihood of immunotherapy discontinuation than patients with metachronous disease. Further studies are needed to clarify the potential interaction between pathological stage and MMR status on survival outcomes among patients treated with immunotherapy.

High albumin level and antibiotic use were both associated with longer survival and reduced likelihood of immunotherapy discontinuation in the MSS cohort. High serum albumin level has previously been reported as a strong predictor of survival outcomes following ICI-based therapy in most cancer types,22 which could be related to the host’s ability to mount an effective immune response against the tumor.23 Our results differ from previous findings on concomitant exposure to ICIs and antibiotics in patients with cancer24,25 but are consistent with a previous study reporting an inverse association between antibiotic exposure and mortality in mCRC treated with chemotherapy.26 Antibiotics may act through modulation of the gut microbiome and differential priming of the immune repertoire, which has been shown to modulate response to ICIs in various cancer types.27,28,29 Alteration of the microbiome may be a potential strategy to enhance ICI-based treatment response, but more studies are needed to clarify the drug-microbiome interaction.

Despite the poor outcomes associated with synchronous disease among patients with MSS tumors, 12.3% of patients from the MSS cohort had a durable response to ICIs, showing that a subset of patients was, at least initially, responsive to ICI-based therapy. Durable responses to immunotherapy have been noted in patients with MSS tumors who harbor high tumor mutational burden or have proofreading mutations such as POLE mutations or upregulated PD-L1 expression.30,31,32 Factors affecting durable response in patients with MSS tumors warrant further investigation.

Strengths and Limitations

Strengths of this study are the large and heterogeneous patient population, including patients underrepresented in clinical trials, and the use of EHR data from the Flatiron Health database with detailed treatment information. In addition, the sizeable MSS cohort that received ICI-based therapy (n = 235) gave us a unique opportunity to investigate factors associated with receipt and efficacy of ICIs in this understudied group.

This study also had limitations. These included incomplete or missing data in the EHRs such as receipt of surgery, comprehensive somatic genetic/molecular features, tumor mutational burden (TMB), drug-related adverse effects, and germline testing to determine hereditary or sporadic origin of the tumor.33,34,35

Conclusions

In this cohort study of 18 932 patients with mCRC, the results supported findings from clinical trials about the benefits of ICIs as first-line treatment of patients with MSI-H mCRC. In addition, we provided important insights about characteristics of patients that may influence clinical outcomes in patients with mCRC treated with immunotherapy, especially for patients with MSS tumors that have generally been unresponsive to ICIs in clinical trials. Further research is needed to better understand the potential interaction between ICIs and patient/tumor characteristics and identify additional factors that may modulate the effect of ICIs on clinical outcomes.

Supplement 1.

eMethods. Supplementary Methods

eTable 1. Antibiotic Use in Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 2. Baseline Demographic and Clinical Characteristics of Patients With Metastatic Colorectal Cancer by Receipt of Immunotherapy

eTable 3. Baseline Demographic and Clinical Characteristics of Metastatic Colorectal Cancer Patients by Receipt of Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 4. Multivariable Logistic Regression Models for Association Between Characteristics of Metastatic Colorectal Cancer Patients by Receipt of Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 5. Clinical Characteristics of Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 6. Clinical Characteristics of Metastatic Colorectal Cancer Patients Treated With Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 7. Effect of No, Early (1st Line) or Late (2nd or Later Line) Treatment With Immununotherapy on Overall Survival in Patients With Metastatic Colorectal Cancer

eTable 8. Univariate Models for Differences in OS and TTD Between Subgroups of Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 9. Multivariable Cox Proportional Hazards Models for Differences in OS and TTD Among Metastatic Colorectal Cancer Patients Treated With Immunotherapy (Only Including Patients Diagnosed After May 2017)

eFigure. Study Flow Diagram

Supplement 2.

Data Sharing Statement

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

eMethods. Supplementary Methods

eTable 1. Antibiotic Use in Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 2. Baseline Demographic and Clinical Characteristics of Patients With Metastatic Colorectal Cancer by Receipt of Immunotherapy

eTable 3. Baseline Demographic and Clinical Characteristics of Metastatic Colorectal Cancer Patients by Receipt of Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 4. Multivariable Logistic Regression Models for Association Between Characteristics of Metastatic Colorectal Cancer Patients by Receipt of Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 5. Clinical Characteristics of Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 6. Clinical Characteristics of Metastatic Colorectal Cancer Patients Treated With Immunotherapy (Only Including Patients Diagnosed After May 2017)

eTable 7. Effect of No, Early (1st Line) or Late (2nd or Later Line) Treatment With Immununotherapy on Overall Survival in Patients With Metastatic Colorectal Cancer

eTable 8. Univariate Models for Differences in OS and TTD Between Subgroups of Metastatic Colorectal Cancer Patients Treated With Immunotherapy

eTable 9. Multivariable Cox Proportional Hazards Models for Differences in OS and TTD Among Metastatic Colorectal Cancer Patients Treated With Immunotherapy (Only Including Patients Diagnosed After May 2017)

eFigure. Study Flow Diagram

Supplement 2.

Data Sharing Statement


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