Literature DB >> 34369992

Clinical Response to Immunotherapy Targeting Programmed Cell Death Receptor 1/Programmed Cell Death Ligand 1 in Patients With Treatment-Resistant Microsatellite Stable Colorectal Cancer With and Without Liver Metastases.

Chongkai Wang1, Jaideep Sandhu1, Ching Ouyang2,3, Jian Ye4, Peter P Lee4, Marwan Fakih1.   

Abstract

Importance: Microsatellite stable (MSS) metastatic colorectal cancer has been historically characterized as resistant to immunotherapy. Recent studies have demonstrated limited clinical activity of programmed cell death receptor 1/programmed death ligand 1 (PD-1/PD-L1) targeting in MSS metastatic colorectal cancer. The association of metastatic disease in the liver with treatment response has not been fully investigated. Objective: To investigate the association of liver metastases with response to PD-1/PD-L1-targeting therapy in MSS metastatic colorectal cancer. Design, Setting, and Participants: This single-center retrospective cohort study evaluated clinical responses to PD-1- or PD-L1-targeting therapy, with or without other investigational agents, in patients with MSS metastatic colorectal cancer and disease progression after standard of care therapy from January 1, 2014, to December 31, 2020. Main Outcomes and Measures: Objective response rate (ORR) and progression-free survival (PFS), measured from initiation of PD-1/PD-L1-targeting therapy.
Results: Ninety-five patients with MSS metastatic colorectal cancer were identified (54 men [56.8%]; median age, 55 [interquartile range (IQR), 49-64] years). The overall ORR was 8.4% (8 of 95 patients). Eight of 41 patients without liver metastases achieved an ORR of 19.5%, and no response was observed in 54 patients with liver metastases. The disease control rate was 58.5% (24 of 41) in patients without liver metastasis and 1.9% (1 of 54) in patients with liver metastasis. Patients without liver metastases at the time of PD-1/PD-L1-targeting treatment had a superior median PFS compared with patients with liver metastases (4.0 [IQR, 2.0-7.5] vs 1.5 [IQR, 1.0-2.0] months; P < .001). In addition, median PFS was 5.5 (IQR, 2.0-11.5) months for patients without any prior or current liver involvement at the time of PD-1/PD-L1-targeting treatment initiation. Using a multivariate Cox regression model correcting for Eastern Cooperative Oncology Group status, primary tumor location, RAS and BRAF status, tumor mutation burden, and metastatic sites, liver metastases was the variable with the most significant association with faster progression after PD-1/PD-L1 treatment inhibition (hazard ratio, 7.00; 95% CI, 3.18-15.42; P < .001). Conclusions and Relevance: Findings of this cohort study suggest that patients with MSS metastatic colorectal cancer and without liver metastases may derive clinical benefits from checkpoint inhibitors, whereas the presence of liver metastases was associated with resistance. Further prospective studies are needed to investigate PD-1/PD-L1 inhibitors in patients with MSS metastatic colorectal cancer without liver metastases.

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Year:  2021        PMID: 34369992      PMCID: PMC8353537          DOI: 10.1001/jamanetworkopen.2021.18416

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


Introduction

Microsatellite stable (MSS) colorectal cancers represent 95% of all metastatic colorectal cancer cases and are characterized by low tumor mutation burden (TMB) and low immune infiltration compared with microsatellite instability–high (MSI-H) colorectal tumors.[1] As a result, programmed cell death receptor 1/programmed cell death ligand 1 (PD-1/PD-L1) inhibition has led to robust clinical benefit in MSI-H colorectal cancers, whereas limited antitumor activity has been observed in colorectal cancers with MSS.[2,3,4,5] The Japanese REGONIVO (Regorafenib Plus Nivolumab in Patients With Advanced Gastric or Colorectal Cancer) trial[6] reported a response rate of 33% and a median progression-free survival (PFS) of 7.9 months in 24 patients with MSS metastatic colorectal cancer who had disease progression with standard chemotherapy. In that study, patients with liver metastases had a response rate of 8.3% (1 of 12), whereas patients with lung metastases without liver involvement had a response rate of 63.6% (7 of 11).[6] In a retrospective trial of refractory MSS colorectal cancer treated with regorafenib and nivolumab, Wang et al[7] described a disease control rate (DCR) of 27.8% (5 with stable disease) in 18 patients, whereas no patients experienced an objective response. Stable disease occurred in patients without liver metastases at the time of enrollment.[7] Similarly, the combination of regorafenib plus toripalimab (a PD-1 inhibitor) led to a response rate of 30.0% in patients with MSS colorectal cancer without liver metastases, whereas patients with liver metastases had an inferior response rate of 8.7%.[7] More recently, the combination of avelumab and regorafenib was investigated in MSS colorectal cancer, with a reported DCR of 53.5%, whereas no objective responses were noted.[8] These data, in summation, suggest a potential clinical benefit to regorafenib plus a PD-1– or PD-L1–targeting agent and suggest a preferential response in patients without hepatic metastatic disease. Studies reporting on PD-1/PD-L1–targeting therapy in metastatic colorectal cancer in the context of sites of metastases have been limited by their small sample sizes and lack of multivariate analysis that integrates sidedness, results of molecular analysis, and TMB. To further investigate the association of metastatic disease pattern with response to PD-1– or PD-L1–targeting therapy in MSS colorectal cancer, we performed a single-center retrospective analysis of all patients with treatment-resistant MSS metastatic colorectal cancer treated at City of Hope Comprehensive Cancer Center, Duarte, California, with PD-1 or PD-L1 inhibitors during the last 6 years.

Methods

Patient Population

In this cohort study, we retrospectively reviewed the medical records of patients with metastatic colorectal cancer treated at City of Hope from January 1, 2014, to December 31, 2020. This cohort study was approved by the institutional review board of the City of Hope and followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline. Because this study was an outcome clinical trial, the institutional review board did not require informed consent. Patients with MSS metastatic colorectal cancer who received PD-1/PD-L1–targeting therapy after progression with prior standard chemotherapy were eligible for study inclusion. Patients who received concomitant chemotherapy with PD-1 or PD-L1 therapy were excluded to avoid possible confounding. However, patients receiving additional investigational agents in addition to PD-1– or PD-L1–targeting therapy were allowed. In addition, patients receiving radiotherapy to 1 lesion or organ for the purpose of inducing an abscopal response were included. The identified patients were included regardless of whether they received treatment on an investigational trial or compassionate basis. Patient demographics and molecular characteristics, when available, were collected for all patients. Responses to treatment were assessed radiographically by Response Evaluation Criteria in Solid Tumors, version 1.1, guidelines. Disease progression was observed in 89 patients. Six patients were still receiving treatment with ongoing clinical benefit at the time of data analysis. Progression-free survival was defined as the interval from the dates of treatment initiation to disease progression.

Statistical Analysis

Clinical characteristics were compared using the Wilcoxon rank sum test for age and TMB; categorical variables, using the Fisher exact test. We computed 95% CIs using the Wald confidence limits for the binomial proportion. Cox proportional hazard regression was used to determine the association of demographic and clinical variables with response and PFS. The full model included terms for primary tumor site, metastatic location, age, sex, and RAS (including KRAS [OMIM 190070] and NRAS [OMIM 164790]/BRAF [OMIM 164757]) status. Progression-free survival curves were constructed with the Kaplan-Meier method. Analyses were performed using R, version 4.0.3 (R Program for Statistical Computing). All tests were 2 sided, with P < .05 considered statistically significant.

Results

Baseline Patient Population Characteristics

Ninety-five patients with MSS metastatic colorectal cancer met the eligibility criteria (41 women [43.2%] and 54 men [56.8%]; median age, 55 [interquartile range (IQR), 49-64] years). Baseline patient demographics and molecular tumor characteristics are detailed in Table 1. Metastatic disease was most prevalent in the lungs (66 patients [69.5%]) and liver (54 patients [56.8%]). Peritoneal metastases were found in 29 patients (30.5%); distant lymph node metastases in 50 patients (52.6%); brain metastases in 3 patients (3.2%); and bone metastases in 10 patients (10.5%).
Table 1.

Baseline Characteristics of Patients and Corresponding ORRs and DCRs

CharacteristicPatient groupaORR, %bP valuecDCR, %dP valuec
All (N = 95)Best overall response
Complete (n = 1)Partial (n = 7)Stable disease (n = 17)Progressive disease (n = 70)
Age, median (IQR), y55 (49-64)47 (47-47)62 (50-63)55 (47-57)55 (49-66)NA.86NA.27
Sex
Female41 (43.2)0 6 (85.7)6 (35.3)29 (41.4)14.6.0729.3.64
Male54 (56.8)1 (100)1 (14.3)11 (64.7)41 (58.6)3.724.1
Primary tumor
Left-sided69 (72.6)1 (100)3 (42.9)16 (94.1)49 (70.0)5.8.2129.0.44
Right-sided26 (27.4)0 4 (57.1)1 (5.9)21 (30.0)15.419.2
ECOG status
042 (44.2)1 (100)6 (85.7)10 (58.8)25 (35.7)16.7.0240.5.01
153 (55.8)0 1 (14.3)7 (41.2)45 (64.3)1.915.1
Metastasis sitee
Peritoneal
Involved29 (30.5)0 1 (14.3)5 (29.4)23 (32.9)3.4.4320.7.46
Noninvolved66 (69.5)1 (100)6 (85.7)12 (70.6)47 (67.1)0.628.8
Bone
Involved10 (10.5)0 0 2 (11.8)8 (11.4)0.5920.0>.99
Noninvolved85 (89.5)1 (100)7 (100)15 (88.2)62 (88.6)9.427.1
Brain
Involved3 (3.2)0 0 1 (5.9)2 (2.9)0>.9933.3>.99
Noninvolved92 (96.8)1 (100)7 (100)16 (94.1)68 (97.1)8.726.1
Liver
Involved54 (56.8)0 01 (5.9)53 (75.7)0<.0011.9<.001
Noninvolved41 (43.2)1 (100)7 (100)16 (94.1)17 (24.3)19.558.5
Lung
Involved66 (69.5)0 3 (42.9)13 (76.5)50 (71.4)4.5.05424.2.61
Noninvolved29 (30.5)1 (100)4 (57.1)4 (23.5)20 (28.6)17.231.0
Lymph node
Involved50 (52.6)1 (100)5 (71.4)7 (41.2)37 (52.9)12.0.2726.0>.99
Noninvolved45 (47.4)0 2 (28.6)10 (58.8)33 (47.1)4.426.7
Variant status
APC f
Altered50 (71.4)1 (100)3 (60.0)13 (81.3)33 (68.8)8.0>.9934.0.57
Nonaltered20 (28.6)0 2 (40.0)3 (18.7)15 (31.3)10.025.0
BRAF V600E
Altered4 (4.2)0 2 (28.6)0 2 (2.9)50.0.0350.0.28
Nonaltered91 (95.8)1 (100)5 (71.4)17 (100)68 (97.1)6.525.3
RAS g
Altered58 (61.1)0 2 (28.6)10 (58.8)46 (65.7)3.4.05320.7.15
Nonaltered37 (38.9)1 (100)5 (71.4)7 (41.2)24 (34.3)16.235.1
TP53 h
Altered56 (78.9)1 (100)5 (100)12 (75.0)38 (77.6)10.7.3332.1.76
Nonaltered15 (21.1)0 0 4 (25.0)11 (22.4)026.7
TMB, median (IQR)i5.0 (3-7)3 (3-3)4 (2-10)5 (4-7)4 (3-7)NA.65NA.61

Abbreviations: DCR, disease control rate; ECOG, Eastern Cooperative Oncology Group; IQR, interquartile range; NA, not applicable; ORR, objective response rate; TMB, tumor mutation burden.

Unless otherwise indicated, data are expressed as number (%) of patients. Percentages have been rounded and may not total 100. All percentages are based on weighted analysis.

Calculated as complete plus partial responses vs stable plus progressive disease.

Calculated using the Fisher exact test except for age and TMB (Wilcoxon rank sum test).

Calculated as complete plus partial responses plus stable disease vs progressive disease.

Indicates at treatment.

Data were missing for 25 cases.

Including KRAS and NRAS.

Data were missing for 24 cases.

Data were missing for 32 cases.

Abbreviations: DCR, disease control rate; ECOG, Eastern Cooperative Oncology Group; IQR, interquartile range; NA, not applicable; ORR, objective response rate; TMB, tumor mutation burden. Unless otherwise indicated, data are expressed as number (%) of patients. Percentages have been rounded and may not total 100. All percentages are based on weighted analysis. Calculated as complete plus partial responses vs stable plus progressive disease. Calculated using the Fisher exact test except for age and TMB (Wilcoxon rank sum test). Calculated as complete plus partial responses plus stable disease vs progressive disease. Indicates at treatment. Data were missing for 25 cases. Including KRAS and NRAS. Data were missing for 24 cases. Data were missing for 32 cases. All patients had received at least 2 lines of prior systemic therapy, including anti–epidermal growth factor receptor if left-sided and RAS/BRAF wild-type. Anti–PD-1 and anti–PD-L1 therapy consisted of nivolumab (55 patients), atezolizumab (17 patients), pembrolizumab (13 patients), and durvalumab (10 patients). Concurrent therapy with PD-1 or PD-L1 inhibitors was divided into 5 categories: vascular endothelial growth factor receptor (VEGFR) inhibitors (45 patients), mitogen-activated protein kinase inhibitors (6 patients), cytotoxic T-lymphocyte–associated protein 4 (CTLA-4) inhibitors (9 patients), radiotherapy (9 patients), and several other targeted or biological agents (17 patients).

Patient Characteristics and Treatment Response to PD-1 or PD-L1 Inhibitors

All patients were evaluable for best response. We observed an overall objective response rate (ORR) in 8 of 95 patients (8.4%; 95% CI, 3.7%-15.9%) in our analysis, with 1 complete radiographic response and 7 partial responses. In addition, 17 patients (17.9%) had stable disease and 70 (73.7%) had progressive disease as a best response (Table 1). Univariate analysis revealed an Eastern Cooperative Oncology Group (ECOG) status of 0 (7 of 42 [16.7%]; P = .02) and BRAF V600E alteration (2 of 4 [50.0%]; P = .03) were associated with better ORR. No objective response was observed in patients with liver metastases. In contrast, responses were noted in 8 of 41 patients without liver metastasis (19.5%; 1 complete response and 7 partial responses; P < .001) (Table 1). The ORR was 4.5% in patients with lung metastases (P = .05) and 12.0% in patients with lymph node metastases (P = .27). The DCR was significantly higher in patients without liver metastases (24 of 41 [58.5%]) in comparison with patients with liver metastases (1 of 54 [1.9%]; P < .001). In addition, an ECOG performance status of 0 was also associated with a higher DCR (17 of 42 [40.5%] vs 8 of 53 [15.1%]; P = .01) when compared with an ECOG performance status of 1 (Table 1).

Patient Characteristics and PFS With PD-1 or PD-L1 Inhibitors

Kaplan-Meier analysis demonstrated a median PFS of 4.0 (IQR, 2.0-7.5) months for patients without liver metastases vs 1.5 (IQR, 1.0-2.0) months for patients with liver metastases (P < .001). The 6-month PFS rate was 36.6% in patients without vs 1.9% in patients with liver metastases (Figure 1A). Univariate analysis showed that the presence of liver metastases at the time of treatment initiation was significantly associated with shorter PFS (hazard ratio [HR], 4.98; 95% CI, 2.95-8.38; P < .001). None of the other variables were associated with PFS outcome (Table 2). A multivariate model including age, sex, primary tumor location, ECOG status, metastatic site, TMB, and APC (OMIM 611731), RAS, BRAF V600E, and TP53 (OMIM 191170) alterations maintained that liver metastases at the time of treatment initiation was the most significant factor associated with worse PFS (HR, 7.00; 95% CI, 3.18-15.42; P < .001). In addition, RAS mutation (HR, 2.78; 95% CI, 1.19-6.47) and right-sided tumors (HR, 2.34; 95% CI, 1.07-5.13) were associated with worse PFS on multivariate analysis, but the statistical significance was marginal (Table 2). We further explored the cohort of patients without liver metastasis at enrollment in 2 groups: patients without any history of liver involvement (n = 25) and patients with a history of liver lesion resection but without active liver disease at the time of treatment (n = 16). Kaplan-Meier analysis showed that the median PFS for patients without any history of liver involvement was 5.5 (IQR, 2.0-11.5) months vs 3.0 (IQR, 1.8-6.0) months for patients with history of liver resection. The 6-month PFS rate was 44.0% (11 of 25) vs 25.0% (4 of 16) for patients without and with any history of liver involvement, respectively. Patients with liver metastases at the time of treatment had significantly inferior median PFS than patients with history of liver metastasectomy but without active liver disease at the time of treatment (1.5 [IQR, 1.0-2.0] vs 3.0 [IQR, 1.8-6.0] months; HR, 2.37; 95% CI, 1.45-3.86; P < .001) (Figure 1B). To further demonstrate the clinical benefit of PD-1/PD-L1 inhibition in patients with MSS colorectal cancer without liver metastases, we performed a waterfall and swimmer plot data analysis. As shown in Figure 2, significant tumor shrinkage and durable tumor responses (PFS, >6 months) were recorded in 13 of 41 patients (31.7%) and 15 of 41 patients (36.6%), respectively, in this population. A few patients achieved a PFS of 12 months, and the benefit was still ongoing. In addition, significant and protracted declines in levels of carcinoembryonic antigen (a decline of greater than 70% was observed in 5 responding patients for at least 36 weeks) were also recorded in patients without liver metastasis (Figure 3).
Figure 1.

Kaplan-Meier Curves for Progression-Free Survival (PFS) Among Patients With Microsatellite Stable Metastatic Colorectal Cancer

A, Kaplan-Meier curves for PFS stratified by presence (n = 54) or absence (n = 41) of liver metastasis at the time of enrollment. B, Kaplan-Meier curves for PFS stratified by patients who never had liver involvement, had prior liver resection but no liver involvement at the time of treatment initiation, and had liver metastases at the time of treatment initiation.

Table 2.

PFS and Association With Clinicopathologic Characteristics Using Cox Regression

Clinicopathologic variableUnivariate analysisMultivariate analysis
HR (95% CI)P valueHR (95% CI)P value
Age at diagnosis
Continuous1.00 (0.98-1.02).73NANA
≥65 vs <65 y1.31 (0.81-2.13).271.87 (0.93-3.76).08
Female vs male0.91 (0.60-1.40).681.13 (0.55-2.34).73
Right- vs left-sided primary tumor1.21 (0.76-1.95).422.34 (1.07-5.13).03
ECOG status 1 vs 01.43 (0.93-2.19).110.78 (0.37-1.65).52
Metastasis site, involved vs noninvolveda
Peritoneal1.58 (1.00-2.48).0491.18 (0.54-2.60).68
Liver4.98 (2.95-8.38)<.0017.00 (3.18-15.42)<.001
Lung1.04 (0.66-1.64).880.94 (0.40-2.21).89
Lymph0.97 (0.63-1.47).881.02 (0.50-2.09).95
Bone1.09 (0.54-2.17).810.58 (0.21-1.59).29
Brain0.89 (0.28-2.82).841.95 (0.33-11.62).46
Alteration vs no alteration
APC b 0.70 (0.41-1.21).200.59 (0.27-1.28).18
RAS c 1.47 (0.95-2.29).082.78 (1.19-6.47).02
BRAF V600 0.48 (0.15-1.54).220.22 (0.04-1.31).10
TP53 d 0.91 (0.51-1.66).772.10 (0.84-5.24).11
TMB (continuous)e0.99 (0.93-1.06).840.98 (0.88-1.08).63

Abbreviations: ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; NA, not applicable; PFS, progression-free survival; TMB, tumor mutational burden.

Indicates at treatment.

Data were missing for 25 cases.

Includes KRAS and NRAS.

Data were missing for 24 cases.

Data were missing for 32 cases.

Figure 2.

Tumor Response in Patients With Microsatellite Stable Metastatic Colorectal Cancer Without Liver Metastases

A, Waterfall plot of tumor response in patients without liver metastases. B, Swimmer plot presentation of progression-free survival (PFS) in patients without liver metastases. Arrow indicates ongoing benefit.

aIndicates new lesion.

bIndicates clinical progression.

Figure 3.

Carcinoembryonic Antigen (CEA) Response in Patients With Microsatellite Stable Metastatic Colorectal Cancer Without Liver Metastases

Spider plot shows change in the CEA level from baseline.

Kaplan-Meier Curves for Progression-Free Survival (PFS) Among Patients With Microsatellite Stable Metastatic Colorectal Cancer

A, Kaplan-Meier curves for PFS stratified by presence (n = 54) or absence (n = 41) of liver metastasis at the time of enrollment. B, Kaplan-Meier curves for PFS stratified by patients who never had liver involvement, had prior liver resection but no liver involvement at the time of treatment initiation, and had liver metastases at the time of treatment initiation. Abbreviations: ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; NA, not applicable; PFS, progression-free survival; TMB, tumor mutational burden. Indicates at treatment. Data were missing for 25 cases. Includes KRAS and NRAS. Data were missing for 24 cases. Data were missing for 32 cases.

Tumor Response in Patients With Microsatellite Stable Metastatic Colorectal Cancer Without Liver Metastases

A, Waterfall plot of tumor response in patients without liver metastases. B, Swimmer plot presentation of progression-free survival (PFS) in patients without liver metastases. Arrow indicates ongoing benefit. aIndicates new lesion. bIndicates clinical progression.

Carcinoembryonic Antigen (CEA) Response in Patients With Microsatellite Stable Metastatic Colorectal Cancer Without Liver Metastases

Spider plot shows change in the CEA level from baseline.

Discussion

Colorectal cancer with MSS has long been considered resistant to PD-1/PD-L1 blockade.[2,3,4,5] However, the promising response rate of 33% seen in the Japanese REGONIVO trial[6] has revitalized interest in immunotherapy in MSS colorectal cancer. In that small study, patients with liver metastases had an inferior response rate compared with patients with lung metastases (8.3% vs 50.0%).[6] Four other independent early trials[7,8,9,10] have also demonstrated promising clinical activity of various anti-VEGFR agents plus PD-1/PD-L1 blockade in MSS colorectal cancer, but the responses were considerably lower than those in the REGONIVO trial. One of those studies[7] correlated the response to immunotherapy with the metastatic disease pattern and showed that patients without liver metastases had response rates superior to those of patients with liver metastases (30.0% vs 8.7%). In addition, similar findings of relative clinical resistance to PD-1/PD-L1–targeting agents were noted in patients with liver metastases in melanoma, lung cancer, kidney cancer, and other tumor types.[11,12,13,14,15,16] Two recent retrospective studies[17,18] including more than 300 patients with solid tumors who received checkpoint blockade demonstrated that the presence of liver metastases was associated with worse PFS and overall survival regardless of tumor histology. Our study demonstrates that PD-1/PD-L1 inhibition provides significant clinical benefit to a group of patients with MSS colorectal cancer without liver metastases, whereas the presence of liver metastases correlates with lack of response. In melanoma and non–small cell lung cancer, the presence of liver metastases was not only associated with decreased activation of tumor-infiltrating CD8+ T cells, but also with decreased CD8+ T-cell infiltration in primary tumors.[19,20] In addition, lower CD8+ T-cell infiltration was also found in extrahepatic metastatic lesions from patients with liver metastases compared with patients without liver metastases.[11] These findings suggest liver metastases may induce a systemic immunosuppressive effect, thereby inhibiting antitumor immunity, and undermine the efficacy of checkpoint inhibitors in this population. A recent preclinical study using a dual-tumor immunocompetent mouse model demonstrated that concurrent tumor inoculation in the liver significantly suppressed systemic anti–tumor immune response via regulatory T cell–modulated myeloid-derived suppressor cell immune suppression. Although PD-1 inhibition alone showed limited antitumor response in this preclinical model, combining regulatory T cell–depleting agents such as CTLA-4 inhibitor with PD-1 inhibition successfully reversed the suppressive immune state induced by liver metastases.[21] Another recent study[22] also revealed that liver metastases limit the efficacy of immunotherapy systemically in the clinical and preclinical settings. In multiple preclinical models, this study showed liver metastasis attracts immunosuppressive macrophages that induce apoptosis of tumor antigen–specific T cells within the liver. This leads to a loss of tumor-reactive T cells systemically and subsequently to diminished efficacy of immunotherapy.[22] These studies support the notion that liver metastatic tumors not only suppress intrahepatic antitumor immune response, but also inhibit systemic antitumor immunity, which leads to diminished response to PD-1/PD-L1 inhibition in this population. The clinical benefits that we observed with PD-1/PD-L1 inhibition in patients with resected liver metastases support the above hypotheses. However, the clinical relevance of CTLA-4 inhibition in addition to PD-1/PD-L1 inhibition remains to be demonstrated, especially in light of the limited efficacy of durvalumab and tremelimumab in MSS metastatic colorectal cancer.[23,24] In our patients without liver metastases, responses to checkpoint blockade were mostly seen in patients with lung and lymph node metastases (eTable 1 in the Supplement). Patients with peritoneal metastases without liver metastases had longer PFS than patients with liver metastases (3.0 vs 1.5 months) but appeared to have a worse outcome than patients without liver and peritoneal disease (eFigure 1 in the Supplement). In our population, responses to anti–PD-1/PD-L1 agents were not associated with any investigational partner associated with checkpoint inhibitors. The benefits occurred irrespective of the use or lack of use of concurrent VEGFR inhibitors, such as regorafenib. In patients who received a VEGFR inhibitor plus PD-1 inhibitor, the ORR was 15.4% in patients without liver metastases compared with 0 in patients with liver metastases. The median PFS was 4.0 months in patients without liver metastases vs 1.5 months in patients with liver metastases (eTable 2 and eFigure 2 in the Supplement). Similarly, we did not see any association between benefit or lack of benefit in ORR with the addition of CTLA-4 therapy, radiotherapy, or mitogen-activated protein kinase inhibitor therapy (eTable 2 in the Supplement). The DCRs were similar across all 5 different subgroups of PD-1/PD-L1–based therapy, even when stratified by liver and nonliver metastases (eTable 2 in the Supplement). However, given the small size of some of the subgroups and the retrospective nature of our study, definitive conclusions on the effect of additional therapies such as CTLA-4 inhibition or radiotherapy cannot be made. The benefits seen in the nonliver metastases group cannot be attributed solely to the better prognosis of patients with nonhepatic metastatic disease, particularly because they pertain to lung metastases only.[25,26] The significant tumor shrinkage seen in our waterfall plot analysis and the protracted PFS shown in the swimmer plot, with 36.6% PFS at 6 months in patients with nonliver metastases, indicates an association with treatment in this population. The significant clinical benefit seen in patients with history of liver resection in our study suggests that the systemic immune suppression of liver metastasis may be partially alleviated by resection or ablation. Although patients with liver metastases only achieve long-term survival with surgery, as many as 70% of these patients experience extrahepatic relapse.[27,28,29,30] These patients can derive a benefit from PD-1/PD-L1–targeting therapy and thus should be included in future studies incorporating these agents. Our study demonstrates that RAS variants were associated with poor outcome of checkpoint inhibition on multivariate analysis. Recent preclinical and clinical studies[31] have demonstrated that oncogenic RAS alteration leads to an immune suppressive tumor microenvironment in MSS colorectal cancer by suppressing the expression of interferon-responsive genes and upregulating chemokine ligand 3, which attracts myeloid-derived suppressor cells to the tumor microenvironment and subsequently confers resistance to PD-1 inhibition. Interestingly, a diminished benefit with RAS alteration was recently noted with pembrolizumab in metastatic MSI-H colorectal cancer.[32] High TMB is a predictive factor associated with response to checkpoint inhibition in MSI-H colorectal cancer.[33] In addition, a recent prospective study of patients with advanced solid tumors[34] demonstrated that TMB of greater than 10 was associated with increased response rate to pembrolizumab monotherapy regardless of microsatellite status. However, we did not see an association between TMB and response rate in our study. In the 7 patients who had an objective response, 2 tumors had a TMB of 10 to 20 (19 and 16), whereas the other 5 tumors had a TMB of 5 or less (eTable 1 in the Supplement). The presence of responses in patients with TMB of 5 or less is intriguing and suggests that additional factors beyond tumor mutation load dictate the potential benefit from PD-1/PD-L1 targeting. Previous studies[35,36,37] have shown that aberrant activation of WNT/β-catenin signaling was associated with immune exclusion in the tumor microenvironment and resistance to checkpoint blockade across human cancers. In our study, benefits to PD-1/PD-L1 targeting were seen in patients irrespective of the presence or lack of APC alteration, suggesting that WNT activation does not confer absolute clinical resistance to immunotherapy. We have noted a higher response rate in colorectal cancers with BRAF V600E alteration. Tumors with BRAF V600E alteration are enriched with consensus molecular subtype 1, which is characterized by rich immune infiltration in the tumor microenvironment.[38,39] In our analysis, 2 of the 4 patients with BRAF V600E alteration had a partial response as the best response to PD-1/PD-L1 targeting. These results indicate BRAF V600E alteration is associated with a unique tumor immune microenvironment that may increase the chance of response to PD-1/PD-L1 inhibition. These findings need to be validated in a larger patient population set.

Strengths and Limitations

To our knowledge, our study is (1) the largest to investigate the clinical response of anti–PD-1/PD-L1–targeting therapy in a population with refractory MSS colorectal cancer and (2) the first to investigate the association of liver metastases with response and PFS in a multivariable analysis that includes tumor genomics, TMB, and sidedness. Hepatic metastatic disease was the most significant variable associated with resistance to anti–PD-1/PD-L1 reagents. Our findings call for stratification by site of metastatic disease (liver vs no liver) in all future randomized clinical trials with anti–PD-1/PD-L1 reagents. We acknowledge that our study has limitations. Given that it is a retrospective study, the results are inherently subject to patient selection bias. For example, our study was enriched by patients with nonliver metastatic disease. Our earlier observations of benefit in nonliver metastatic disease have led to a preferential extension of compassionate anti–PD-1 agents to this group of patients, therefore increasing their representation. However, the imbalance in liver and nonliver metastatic disease in our cohort should not diminish the clinical findings. Additional limitations include variations in anti–PD-1/PD-L1 agents and their combinations. The clinical benefits experienced from nivolumab, pembrolizumab, and atezolizumab in prior studies[2,3,4] have been consistent and are not likely to alter our findings substantially. The inclusion of various investigational cotreatments was necessary to increase our patient pool. Tyrosine kinase inhibitors that target VEGFR (regorafenib and lenvatinib) have recently shown promise when combined with PD-1 targeting. Therefore, it is unsurprising that the combination of VEGFR plus PD-1 represented about half the patients on this study. Other combination therapies included combinations of PD-1/PD-L1 and CTLA-4 inhibitors with or without radiotherapy, and combinations of anti–PD-1/PD-L1 with a variety of other targeted agents. Those combinations represented small cohorts and did not justify us performing subgroup analyses. Irrespective of the subgroups of treatment, the benefits from checkpoint inhibition in our study were limited to nonliver metastases.

Conclusions

The results of this cohort study demonstrate that the presence of liver metastases is associated with resistance to PD-1/PD-L1 inhibition in MSS metastatic colorectal cancer. Lack of liver metastases identifies a group of patients who may derive durable clinical benefits from PD-1/PD-L1 inhibition. Our findings support further investigation of PD-1/PD-L1 inhibitors in prospective trials in patients with MSS metastatic colorectal cancer without liver metastases. Additional preclinical and clinical efforts should be exerted to identify and overcome mechanisms of PD-1/PD-L1 resistance in colorectal cancer with liver metastases.
  35 in total

1.  Pembrolizumab in Microsatellite-Instability-High Advanced Colorectal Cancer.

Authors:  Thierry André; Kai-Keen Shiu; Tae Won Kim; Benny Vittrup Jensen; Lars Henrik Jensen; Cornelis Punt; Denis Smith; Rocio Garcia-Carbonero; Manuel Benavides; Peter Gibbs; Christelle de la Fouchardiere; Fernando Rivera; Elena Elez; Johanna Bendell; Dung T Le; Takayuki Yoshino; Eric Van Cutsem; Ping Yang; Mohammed Z H Farooqui; Patricia Marinello; Luis A Diaz
Journal:  N Engl J Med       Date:  2020-12-03       Impact factor: 91.245

2.  A Pilot Feasibility Study of Yttrium-90 Liver Radioembolization Followed by Durvalumab and Tremelimumab in Patients with Microsatellite Stable Colorectal Cancer Liver Metastases.

Authors:  Chongkai Wang; John Park; Ching Ouyang; Jeff A Longmate; Michael Tajon; Joseph Chao; Dean Lim; Jaideep Sandhu; Hongwei Holly Yin; Raju Pillai; Maricel C Gozo; Christian Avalos; Colt A Egelston; Peter P Lee; Marwan Fakih
Journal:  Oncologist       Date:  2019-12-19

3.  PD-1 Blockade in Tumors with Mismatch-Repair Deficiency.

Authors:  Dung T Le; Jennifer N Uram; Hao Wang; Bjarne R Bartlett; Holly Kemberling; Aleksandra D Eyring; Andrew D Skora; Brandon S Luber; Nilofer S Azad; Dan Laheru; Barbara Biedrzycki; Ross C Donehower; Atif Zaheer; George A Fisher; Todd S Crocenzi; James J Lee; Steven M Duffy; Richard M Goldberg; Albert de la Chapelle; Minori Koshiji; Feriyl Bhaijee; Thomas Huebner; Ralph H Hruban; Laura D Wood; Nathan Cuka; Drew M Pardoll; Nickolas Papadopoulos; Kenneth W Kinzler; Shibin Zhou; Toby C Cornish; Janis M Taube; Robert A Anders; James R Eshleman; Bert Vogelstein; Luis A Diaz
Journal:  N Engl J Med       Date:  2015-05-30       Impact factor: 91.245

4.  Organ-specific response to nivolumab in patients with non-small cell lung cancer (NSCLC).

Authors:  Sabine Schmid; Stefan Diem; Qiyu Li; Mirjam Krapf; Lukas Flatz; Sebastian Leschka; Lotus Desbiolles; Dirk Klingbiel; Wolfram Jochum; Martin Früh
Journal:  Cancer Immunol Immunother       Date:  2018-08-31       Impact factor: 6.968

5.  Partially exhausted tumor-infiltrating lymphocytes predict response to combination immunotherapy.

Authors:  Kimberly Loo; Katy K Tsai; Kelly Mahuron; Jacqueline Liu; Mariela L Pauli; Priscila M Sandoval; Adi Nosrati; James Lee; Lawrence Chen; Jimmy Hwang; Lauren S Levine; Matthew F Krummel; Alain P Algazi; Miguel Pampaloni; Michael D Alvarado; Michael D Rosenblum; Adil I Daud
Journal:  JCI Insight       Date:  2017-07-20

6.  Association of tumour mutational burden with outcomes in patients with advanced solid tumours treated with pembrolizumab: prospective biomarker analysis of the multicohort, open-label, phase 2 KEYNOTE-158 study.

Authors:  Aurélien Marabelle; Marwan Fakih; Juanita Lopez; Manisha Shah; Ronnie Shapira-Frommer; Kazuhiko Nakagawa; Hyun Cheol Chung; Hedy L Kindler; Jose A Lopez-Martin; Wilson H Miller; Antoine Italiano; Steven Kao; Sarina A Piha-Paul; Jean-Pierre Delord; Robert R McWilliams; David A Fabrizio; Deepti Aurora-Garg; Lei Xu; Fan Jin; Kevin Norwood; Yung-Jue Bang
Journal:  Lancet Oncol       Date:  2020-09-10       Impact factor: 41.316

7.  Site-specific response patterns, pseudoprogression, and acquired resistance in patients with melanoma treated with ipilimumab combined with anti-PD-1 therapy.

Authors:  Ines Pires da Silva; Serigne Lo; Camelia Quek; Maria Gonzalez; Matteo S Carlino; Georgina V Long; Alexander M Menzies
Journal:  Cancer       Date:  2019-10-04       Impact factor: 6.860

8.  Liver Metastasis and Treatment Outcome with Anti-PD-1 Monoclonal Antibody in Patients with Melanoma and NSCLC.

Authors:  Paul C Tumeh; Matthew D Hellmann; Omid Hamid; Katy K Tsai; Kimberly L Loo; Matthew A Gubens; Michael Rosenblum; Christina L Harview; Janis M Taube; Nathan Handley; Neharika Khurana; Adi Nosrati; Matthew F Krummel; Andrew Tucker; Eduardo V Sosa; Phillip J Sanchez; Nooriel Banayan; Juan C Osorio; Dan L Nguyen-Kim; Jeremy Chang; I Peter Shintaku; Peter D Boasberg; Emma J Taylor; Pamela N Munster; Alain P Algazi; Bartosz Chmielowski; Reinhard Dummer; Tristan R Grogan; David Elashoff; Jimmy Hwang; Simone M Goldinger; Edward B Garon; Robert H Pierce; Adil Daud
Journal:  Cancer Immunol Res       Date:  2017-04-14       Impact factor: 12.020

9.  The Agnostic Role of Site of Metastasis in Predicting Outcomes in Cancer Patients Treated with Immunotherapy.

Authors:  Andrea Botticelli; Alessio Cirillo; Simone Scagnoli; Bruna Cerbelli; Lidia Strigari; Alessio Cortellini; Laura Pizzuti; Patrizia Vici; Federica De Galitiis; Francesca Romana Di Pietro; Edoardo Cerbelli; Michele Ghidini; Giulia D'Amati; Carlo Della Rocca; Silvia Mezi; Alain Gelibter; Raffaele Giusti; Enrico Cortesi; Paolo Antonio Ascierto; Marianna Nuti; Paolo Marchetti
Journal:  Vaccines (Basel)       Date:  2020-04-28

10.  Sites of metastasis and association with clinical outcome in advanced stage cancer patients treated with immunotherapy.

Authors:  Mehmet Asim Bilen; Julie M Shabto; Dylan J Martini; Yuan Liu; Colleen Lewis; Hannah Collins; Mehmet Akce; Haydn Kissick; Bradley C Carthon; Walid L Shaib; Olatunji B Alese; Conor E Steuer; Christina Wu; David H Lawson; Ragini Kudchadkar; Viraj A Master; Bassel El-Rayes; Suresh S Ramalingam; Taofeek K Owonikoko; R Donald Harvey
Journal:  BMC Cancer       Date:  2019-08-29       Impact factor: 4.430

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  6 in total

Review 1.  Immunotherapy for Colorectal Cancer: Mechanisms and Predictive Biomarkers.

Authors:  Lindsey Carlsen; Kelsey E Huntington; Wafik S El-Deiry
Journal:  Cancers (Basel)       Date:  2022-02-17       Impact factor: 6.639

2.  Subtyping of microsatellite stability colorectal cancer reveals guanylate binding protein 2 (GBP2) as a potential immunotherapeutic target.

Authors:  Haizhou Wang; Yabo Zhou; Yangyang Zhang; Shilin Fang; Meng Zhang; Haiou Li; Fei Xu; Lan Liu; Jing Liu; Qiu Zhao; Fan Wang
Journal:  J Immunother Cancer       Date:  2022-04       Impact factor: 13.751

3.  Microtube Array Membrane Hollow Fiber Assay (MTAM-HFA)-An Accurate and Rapid Potential Companion Diagnostic and Pharmacological Interrogation Solution for Cancer Immunotherapy (PD-1/PD-L1).

Authors:  Wan-Ting Huang; Tsao Yun; Chee-Ho Chew; Amanda Chen; Po-Li Wei; Kang-Yun Lee; Hsin-Lun Lee; Po-Hao Feng; Jeng-Fong Chiou; Ching-Mei Chen; Chien-Chung Chen
Journal:  Biomolecules       Date:  2022-03-22

4.  Visual Analysis of Colorectal Cancer Immunotherapy: A Bibliometric Analysis From 2012 to 2021.

Authors:  Long Ma; Jixiang Ma; Muzhou Teng; Yumin Li
Journal:  Front Immunol       Date:  2022-03-31       Impact factor: 7.561

5.  Prognostic characteristics and clinical response to immunotherapy targeting programmed cell death 1 for patients with advanced gastric cancer with liver metastases.

Authors:  Huayuan Liang; Zhiwei Li; Zhicheng Huang; Chaorui Wu; Yaopeng Qiu; Yanrui Liang; Xinhua Chen; Fengping Li; Zhou Xu; Guoxin Li; Hao Liu; Liying Zhao
Journal:  Front Immunol       Date:  2022-09-21       Impact factor: 8.786

Review 6.  Clinical Application of Adaptive Immune Therapy in MSS Colorectal Cancer Patients.

Authors:  Danyang Wang; Hangyu Zhang; Tao Xiang; Gang Wang
Journal:  Front Immunol       Date:  2021-10-13       Impact factor: 7.561

  6 in total

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