Literature DB >> 35110358

Ascites and resistance to immune checkpoint inhibition in dMMR/MSI-H metastatic colorectal and gastric cancers.

Giovanni Fucà1, Romain Cohen2, Sara Lonardi3, Kohei Shitara4, Maria Elena Elez5, Marwan Fakih6, Joseph Chao6, Samuel J Klempner7,8, Matthew Emmett7,8, Priya Jayachandran9, Francesca Bergamo10, Marc Díez García5, Giacomo Mazzoli1, Leonardo Provenzano1, Raphael Colle2, Magali Svrcek11, Margherita Ambrosini1, Giovanni Randon1, Aakash Tushar Shah12, Massimiliano Salati13, Elisabetta Fenocchio14, Lisa Salvatore15, Keigo Chida4, Akihito Kawazoe4, Veronica Conca16,17, Giuseppe Curigliano18,19, Francesca Corti1, Chiara Cremolini16,17, Michael Overman20, Thierry Andre2, Filippo Pietrantonio21.   

Abstract

BACKGROUND: Despite unprecedented benefit from immune checkpoint inhibitors (ICIs) in patients with mismatch repair deficient (dMMR)/microsatellite instability high (MSI-H) advanced gastrointestinal cancers, a relevant proportion of patients shows primary resistance or short-term disease control. Since malignant effusions represent an immune-suppressed niche, we investigated whether peritoneal involvement with or without ascites is a poor prognostic factor in patients with dMMR/MSI-H metastatic colorectal cancer (mCRC) and gastric cancer (mGC) receiving ICIs.
METHODS: We conducted a global multicohort study at Tertiary Cancer Centers and collected clinic-pathological data from a cohort of patients with dMMR/MSI-H mCRC treated with anti-PD-(L)1 ±anti-CTLA-4 agents at 12 institutions (developing set). A cohort of patients with dMMR/MSI-high mGC treated with anti-PD-1 agents±chemotherapy at five institutions was used as validating dataset.
RESULTS: The mCRC cohort included 502 patients. After a median follow-up of 31.2 months, patients without peritoneal metastases and those with peritoneal metastases and no ascites had similar outcomes (adjusted HR (aHR) 1.15, 95% CI 0.85 to 1.56 for progression-free survival (PFS); aHR 0.96, 95% CI 0.65 to 1.42 for overall survival (OS)), whereas inferior outcomes were observed in patients with peritoneal metastases and ascites (aHR 2.90, 95% CI 1.70 to 4.94; aHR 3.33, 95% CI 1.88 to 5.91) compared with patients without peritoneal involvement. The mGC cohort included 59 patients. After a median follow-up of 17.4 months, inferior PFS and OS were reported in patients with peritoneal metastases and ascites (aHR 3.83, 95% CI 1.68 to 8.72; aHR 3.44, 95% CI 1.39 to 8.53, respectively), but not in patients with only peritoneal metastases (aHR 1.87, 95% CI 0.64 to 5.46; aHR 2.15, 95% CI 0.64 to 7.27) when compared with patients without peritoneal involvement.
CONCLUSIONS: Patients with dMMR/MSI-H gastrointestinal cancers with peritoneal metastases and ascites should be considered as a peculiar subgroup with highly unfavorable outcomes to current ICI-based therapies. Novel strategies to target the immune-suppressive niche in malignant effusions should be investigated, as well as next-generation ICIs or intraperitoneal approaches. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  gastrointestinal neoplasms; immunotherapy; translational medical research; tumor biomarkers

Mesh:

Substances:

Year:  2022        PMID: 35110358      PMCID: PMC8811606          DOI: 10.1136/jitc-2021-004001

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   13.751


Introduction

Although mismatch repair deficient (dMMR) and/or microsatellite instability high (MSI-H) advanced gastrointestinal cancers are relatively uncommon (about 4% of both metastatic colorectal cancer (mCRC) and gastric cancer (mGC)), immune checkpoint inhibitors (ICIs) have reliably demonstrated durable responses and unprecedented survival outcomes in this patients’ population independent from the tumor site of origin.1 ICIs have become a new standard of care for patients with dMMR/MSI-H cancers, and their use is nowadays supported by randomized clinical trials (RCTs).2–4 Nevertheless, about 30% of patients with MSI/dMMR advanced mCRC display intrinsic resistance to anti-PD(L)-1 monotherapy both in phase II proof-of-concept trials conducted in pretreated patients,5 6 and in the Keynote-177 phase III first-line trial.2 A similar percentage of primary resistance was reported in a non-colorectal cohort and in post hoc analyses of RCT in mGC.7–9 Of note, the occurrence of early progressive disease (PD) at first disease reassessment may be explained by the phenomenon of pseudoprogression,10 or by the misdiagnosis of dMMR/MSI-H status.11 However, several promising studies investigated the association of primary resistance with specific biomarkers, including a relatively lower tumor mutational burden,12 13 dMMR/MSI-H heterogeneity,13 and elevated systemic inflammation as assessed by blood-based parameters.14 Malignant ascites is a common clinical complication in patients with peritoneal metastases from gastrointestinal cancers. Despite the well-established poor prognostic effect of both peritoneal involvement and ascites in patients with several types of advanced cancers, malignant ascites is also characterized by a pervasive immunosuppressive microenvironment.15 16 Indeed, serous cavities are an immunologic niche due to a variety of immunosuppressive networks, such as those driven by cavity-resident macrophages with Tim-4 overexpression.17 Drawing from these considerations, we hypothesized that patients with MSI-H cancers and coexisting malignant ascites may have poorer outcomes and high rates of primary resistance to ICI treatment. To examine this hypothesis, we assembled a large multinational cohort of patients with dMMR/MSI-H mCRC or GC receiving ICIs to investigate the prognostic role of peritoneal involvement with or without ascites.

Methods

Patients’ population

This was a retrospective, multicentric, international study that included patients with advanced dMMR/MSI-H CRC or GC treated with ICI-based therapy from June 2014 to May 2021. We assembled two cohorts of dMMR/MSI-H gastrointestinal cancers consisting of mCRC (developing set or cohort 1) and mGC (validating set or cohort 2) taking advantage of the electronic medical records of the participating centers. Inclusion criteria were: (1) pathologically/cytologically confirmed diagnosis of dMMR/MSI-H CRC or GC, with dMMR/MSI-H status confirmed by local institutional testing per international guidelines18; (2) treatment with at least one cycle of ICI-based therapy for advanced disease within clinical trials or per clinical practice; (3) age ≥18 years. Cohort 1 contained patients with dMMR/MSI-H mCRC treated with anti-PD-(L)1±anti CTLA-4 agents at 12 institutions worldwide. Cohort 2 contained patients with dMMR/MSI-H mGC treated with anti-PD-1±chemotherapy at five institutions worldwide. Information about clinical outcomes of ICI-based treatment (ie, progression-free survival (PFS) and overall survival (OS)) as well as the following demographic and clinico-pathological data (baseline to the initiation of the ICI-based treatment) were retrieved for all the patients included: age, sex, Eastern Cooperative Oncology Group (ECOG) Performance Status (PS), primary tumor resection, presence of synchronous metastases, number and localization of metastases, presence of peritoneal involvement and ascites, information about prior systemic treatment for metastatic disease, type of ICI-based treatment. For patients with dMMR/MSI-H mCRC the following disease-specific data were also retrieved when available: primary tumor sidedness, RAS mutational status and BRAF mutational status. For patients with dMMR/MSI-H mGC the following disease-specific data were also retrieved when available: primary site of origin and histology. The presence of peritoneal involvement and ascites was assessed by means of conventional imaging techniques (ie, abdominal CT scan or MRI) at each participating center. The presence of metastatic peritoneal involvement was coded as a polytomous categorical variable encompassing three values: no peritoneal metastases, peritoneal metastases without ascites, peritoneal metastases with ascites. Patients with evidence of peritoneal metastases with ascites were included in the ‘ascites’ group, whereas patients with no peritoneal metastases or peritoneal metastases without ascites were included in the ‘no ascites’ group.

Statistical analyses

PFS was defined as the time from the first dose of ICIs administration to PD or death from any cause, whichever occurred first. OS was defined as the time from the first dose of ICIs administration to death from any cause. To examine baseline differences between groups, Pearson’s χ2 test or Fisher’s exact test were used, as appropriate. To examine baseline differences according to the metastatic peritoneal involvement coded as a polytomous categorical variable, pairwise Fisher’s exact test was used. Survival analyses were performed using the Kaplan-Meier method and Cox proportional hazards regression. Univariable Cox regression analysis was used to assess the effect of different baseline factors on PFS and OS. Variables significantly associated with survival outcomes at the univariable analysis were then fitted in a multivariable Cox proportional hazards regression model to identify independent predictors of OS and PFS. HRs with the corresponding 95% CIs were provided for Cox’s proportional hazards regression models. All statistical tests were two tailed, and a p<0.05 was considered statistically significant. Statistical analyses were performed using R software (V.3.5.0) and R Studio (V.1.1.447).

Results

Patients’ characteristics

Cohort 1 included 502 patients with dMMR/MSI-H mCRC from 12 institutions (online supplemental table 1). About 60% of the patients included in cohort 1 received the ICI-based treatment within clinical trials. Clinico-pathological and treatment characteristics are reported in table 1, both overall and according to the presence or absence of ascites. Briefly, peritoneal involvement without ascites was present in 172 patients (34.3%), whereas ascites was present in 25 patients (5.0%). The presence of ascites was associated with poorer PS and RAS wild-type/BRAF mutated status. Online supplemental table 2 shows the pairwise analysis of all characteristics according to the three subgroups of patients with peritoneal involvement with or without ascites and those without peritoneal involvement.
Table 1

Patients and disease characteristics in the developing set (Cohort 1: dMMR/MSI-high mCRC), overall and according to the presence or absence of ascites

CharacteristicsTotal (N=502)N (%)No ascites (N=477)N (%)Ascites (N=25)N (%)P value
Sex0.511
Female229 (45.6)216 (45.3)13 (52.0)
Male273 (54.4)261 (54.7)12 (48.0)
Age0.301
<70378 (75.3)357 (74.8)21 (84.0)
≥70124 (24.7)120 (25.2)4 (16.0)
ECOG PS 0.005
0237 (47.2)232 (48.6)5 (20.0)
≥1265 (52.8)245 (51.4)20 (80.0)
Primary tumor resection>0.999
No90 (17.9)86 (18.0)4 (16.0)
Yes412 (82.1)391 (81.9)21 (84.0)
Primary tumor sidedness0.267
Left172 (34.3)166 (34.8)6 (24.0)
Right330 (65.7)311 (65.2)19 (76.0)
NA
RAS mutational status 0.048
All wild type317 (63.1)296 (62.1)21 (84.0)
RAS mutated165 (32.9)161 (33.7)4 (16.0)
NA20 (4.0)20 (4.2)0 (0.0)
BRAF mutational status0.054
All wild-type351 (69.9)337 (70.6)14 (56.0)
BRAF mutated132 (26.3)121 (25.4)11 (44.0)
NA19 (3.8)19 (4.0)0 (0.0)
Synchronous metastases0.203
No242 (48.2)233 (48.9)9 (36)
Yes258 (51.4)242 (50.7)16 (64)
NA2 (0.4)2 (0.4)0 (0)
Liver metastases0.246
No306 (61.0)288 (60.4)18 (72.0)
Yes196 (39.0)189 (39.6)7 (28.0)
Lung metastases0.595
No412 (82.1)390 (81.8)22 (88.0)
Yes90 (17.9)87 (18.2)3 (12.0)
Lymphnodal metastases0.521
No210 (41.8)198 (41.5)12 (48.0)
Yes292 (58.2)279 (58.5)13 (52.0)
Bone metastases0.320
No479 (95.4)456 (95.6)23 (92.0)
Yes23 (4.6)21 (4.4)2 (8.0)
No of metastatic sites0.076
1227 (45.2)220 (46.1)7 (28.0)
≥2275 (54.8)257 (53.9)18 (72.0)
Prior treatment for metastatic disease0.195
No96 (19.1)94 (19.7)2 (8.0)
Yes406 (80.9)383 (80.3)23 (92.0)
ICI regimen0.525
a-PD(L)−1332 (66.1)314 (65.8)18 (72.0)
a-PD-1+a-CTLA-4170 (33.9)163 (34.2)7 (8.0)

P-values marked with bold indicate statistically significant p-values.

dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICI, immune checkpoint inhibitor; mCRC, metastatic colorectal cancer; MSI-H, microsatellite instability high; NA, not available; PS, Performance Status.

Patients and disease characteristics in the developing set (Cohort 1: dMMR/MSI-high mCRC), overall and according to the presence or absence of ascites P-values marked with bold indicate statistically significant p-values. dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICI, immune checkpoint inhibitor; mCRC, metastatic colorectal cancer; MSI-H, microsatellite instability high; NA, not available; PS, Performance Status. Cohort 2 included 59 patients with dMMR/MSI-high mGC from 5 institutions (online supplemental table 3). About 30% of the patients included in cohort 2 received the ICI-based treatment within clinical trials. Clinico-pathological and treatment characteristics are reported in table 2, both overall and according to the presence or absence of ascites. Peritoneal involvement without ascites was present in 11 patients (18.6%), whereas ascites was present in 17 patients (28.8%). Of note, ascites was significantly associated with poorer PS, non-resected primary tumor, synchronous presentation of metastases and >1 sites of metastases.
Table 2

Patients and disease characteristics in the validating set (Cohort 2: dMMR/MSI-high mGC), overall and according to the presence or absence of ascites

CharacteristicsTotal (N=59)N (%)No ascites (N=42)N (%)Ascites (N=17)N (%)P value
Sex0.840
Female22 (37.3)16 (38.1)6 (35.3)
Male37 (62.7)26 (61.9)11 (64.7)
Age0.304
<7032 (54.2)21 (50.0)11 (64.7)
≥7027 (45.8)21 (50.0)6 (35.3)
ECOG PS 0.047
018 (30.5)16 (38.1)2 (11.8)
≥141 (69.5)26 (61.9)15 (88.2)
Primary tumor resection 0.029
No32 (54.2)19 (45.2)13 (76.5)
Yes27 (45.8)23 (54.8)4 (23.5)
Primary site of origin0.662
Gastroesophageal junction (GEJ)6 (10.2)5 (11.9)1 (5.9)
Gastric53 (89.8)37 (88.1)16 (94.1)
Histology0.195
Intestinal43 (72.9)33 (78.6)10 (58.8)
Diffuse/other16 (27.1)9 (21.4)7 (41.2)
Synchronous metastases 0.033
No23 (39.0)20 (47.6)3 (17.6)
Yes36 (61.0)22 (52.3)14 (82.4)
Liver metastases0.310
No45 (76.3)30 (71.4)15 (88.2)
Yes14 (23.7)12 (28.6)2 (11.8)
Lymphnodal metastases>0.999
No13 (22.0)9 (21.4)4 (23.5)
Yes46 (78.0)33 (78.6)13 (76.5)
Lung metastases>0.999
No49 (83.1)35 (83.3)14 (82.4)
Yes10 (16.9)7 (16.7)3 (17.6)
Bone metastases0.620
No54 (91.5)39 (92.9)15 (88.2)
Yes5 (8.5)3 (7.1)2 (11.8)
No of metastatic sites 0.013
117 (28.8)16 (38.1)1 (5.9)
≥242 (71.2)26 (61.9)16 (94.1)
Prior treatment for metastatic disease>0.999
No7 (11.9)5 (11.9)2 (11.8)
Yes52 (88.1)37 (88.1)15 (88.2)
ICI regimen0.308
a-PD-154 (91.5)37 (88.1)17 (100)
a-PD-1+chemotherapy5 (8.5)5 (11.9)0 (0)

P-values marked with bold indicate statistically significant p-values.

dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICIs, immune checkpoint inhibitors; mGC, metastatic gastric cancer; MSI, microsatellite instability; PS, Performance Status.

Patients and disease characteristics in the validating set (Cohort 2: dMMR/MSI-high mGC), overall and according to the presence or absence of ascites P-values marked with bold indicate statistically significant p-values. dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICIs, immune checkpoint inhibitors; mGC, metastatic gastric cancer; MSI, microsatellite instability; PS, Performance Status.

Survival outcomes according to the presence of peritoneal involvement and ascites

In cohort 1, the median follow-up time was 31.2 months (IQR 15.6–46.0). Online supplemental figure 1A, B shows PFS and OS in the overall population. The presence of ascites was significantly associated with shorter PFS and OS (both p<0.001; figure 1A, B). Patients without peritoneal metastases had similar PFS and OS to those with peritoneal metastases and no ascites (2-year PFS rate: 62.6% vs 60.3%; HR 1.08, 95% CI 0.80 to 1.46; 2 year OS rate: 73.2% vs 75.3%; HR 0.92, 95% CI 0.63 to 1.33), whereas poorer PFS and OS were restricted to patients with peritoneal metastases and ascites (2-year PFS rate: 30.4%; HR 2.80, 95% CI 1.65 to 4.75; 2-year OS rate: 29.7%, HR 3.58, 95% CI 2.06 to 6.22). table 3 shows the univariable and multivariable models for PFS and OS: presence of ascites had an independent effect on both survival outcomes (adjusted HR for PFS: 2.90 (95% CI 1.70 to 4.94); for OS: 3.33 (95% CI 1.88 to 5.91)), as well as ECOG PS, presence of lung metastases, prior treatment for advanced disease and ICI treatment type (anti-PD(L)-1 monotherapy or anti-CTLA-4 combination). We then investigated the impact of specific ICI approaches (combination with CTLA-4 vs PD-1 monotherapy) and observed that shorter PFS and OS outcomes were restricted to patients with ascites receiving anti-PD(L)-1 monotherapy (median and 2-year PFS: 1.6 months and 6.9%; median and 2-year OS: 5.8 months and 6.6%; figure 1C, D). Patients without peritoneal metastases had similar PFS and OS to those with peritoneal metastases and no ascites, regardless of the specific ICI approach (online supplemental figure 2).
Figure 1

Kaplan-Meier curves for progression-free survival (A) and overall survival (B) in the subgroups of dMMR/MSI-H mCRC patients without peritoneal metastases, with peritoneal metastases and no ascites or with peritoneal metastases and ascites; Kaplan-Meier curves for progression-free survival (C) and overall survival (D) of patients dMMR/MSI-H mCRC according to the presence of ascites and the type of ICI regimen. dMMR, mismatch repair deficient; ICI, immune checkpoint inhibitors; mCRC, metastatic colorectal cancer; MSI-H, microsatellite instability high; NA, not available; OS, overall survival; PFS, progression-free survival.

Table 3

Univariable and multivariable Cox proportional hazards regression models for PFS and OS in the developing set (Cohort 1: dMMR/MSI-high mCRC)

CharacteristicsPFSOS
UnivariableMultivariableUnivariableMultivariable
HR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P value
Sex0.6730.644
FemaleRefRef
Male1.06 (0.80 to 1.41)1.08 (0.77 to 1.52)
Age (years)0.7230.588
<70RefRef
≥701.061 (0.77 to 1.47)1.11 (0.76 to 1.63)
ECOG S 0.001 0.003 <0.001 0.001
0RefRefRefRef
≥11.608 (1.20 to 2.15)1.56 (1.16 to 2.08)1.79 (1.30 to 2.48)1.78 (1.25 to 2.55)
Primary tumor resection0.8020.317
NoRefRef
Yes1.05 (0.72 to 1.54)1.281 (0.79 to 2.08)
Primary tumor sidedness0.9170.342
LeftRefRef
Right1.02 (0.75 to 1.37)0.85 (0.60 to 1.20)
RAS mutational status0.7240.459
All wild-typeRefRef
RAS mutated0.95 (0.70 to 1.28)0.87 (0.61 to 1.25)
BRAF mutational status0.1960.151
All wild-typeRefRef
BRAF mutated1.23 (0.90 to 1.67)1.303 (0.91 to 1.87)
Synchronous metastases0.7370.460
NoRefRef
Yes1.05 (0.79 to 1.39)1.14 (0.81 to 1.59)
Liver metastases0.2210.105
NoRefRef
Yes1.20 (0.90 to 1.59)1.32 (0.94 to 1.85)
Lung metastases <0.001 <0.001 0.001 0.023
NoRefRefRefRef
Yes1.812 (1.31 to 2.50)1.79 (1.29 to 2.48)1.83 (1.26 to 2.66)1.60 (1.06 to 2.40)
Lymphnodal metastases0.2490.885
NoRefRef
Yes0.85 (0.64 to 1.13)1.03 (0.73 to 1.45)
Bone metastases0.085 0.011 0.078
NoRefRefRef
Yes1.67 (0.93 to 3.01)2.22 (1.20 to 4.12)1.77 (0.94 to 3.35)
No of metastatic sites0.078 0.013 0.356
1RefRefRef
≥21.30 (0.97 to 1.74)1.56 (1.10 to 2.22)1.21 (0.81 to 1.80)
Prior systemic treatment for metastatic disease 0.001 0.015 0.007 0.0563
NoRefRefRefRef
Yes2.061 (1.31 to 3.24)1.76 (1.12 to 2.79)2.13 (1.23 to 3.70)1.73 (0.99 to 3.03)
ICI regimen <0.001 <0.001 <0.001 <0.001
a-PD(L)−1RefRefRefRef
a-PD-1+a-CTLA-40.46 (0.33 to 0.64)0.46 (0.33 to 0.64)0.41 (0.27 to 0.62)0.41 (0.27 to 0.62)
Peritoneal metastases <0.001 0.002 <0.001 0.001
NoRefRefRefRef
Yes, without ascites1.08 (0.80 to 1.46)1.15 (0.85 to 1.56)0.92 (0.63 to 1.33)0.96 (0.65 to 1.42)
Yes, with ascites2.80 (1.65 to 4.75)2.90 (1.70 to 4.94)3.58 (2.06 to 6.22)3.33 (1.88 to 5.91)

P-values marked with bold indicate statistically significant p-values.

dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICIs, immune checkpoint inhibitors; mCRC, metastatic colorectal cancer; MSI, microsatellite instability; OS, overall survival; PFS, progression-free survival; PS, Performance Status.

Kaplan-Meier curves for progression-free survival (A) and overall survival (B) in the subgroups of dMMR/MSI-H mCRC patients without peritoneal metastases, with peritoneal metastases and no ascites or with peritoneal metastases and ascites; Kaplan-Meier curves for progression-free survival (C) and overall survival (D) of patients dMMR/MSI-H mCRC according to the presence of ascites and the type of ICI regimen. dMMR, mismatch repair deficient; ICI, immune checkpoint inhibitors; mCRC, metastatic colorectal cancer; MSI-H, microsatellite instability high; NA, not available; OS, overall survival; PFS, progression-free survival. Univariable and multivariable Cox proportional hazards regression models for PFS and OS in the developing set (Cohort 1: dMMR/MSI-high mCRC) P-values marked with bold indicate statistically significant p-values. dMMR, mismatch repair deficient; ECOG, Eastern Cooperative Oncology Group; ICIs, immune checkpoint inhibitors; mCRC, metastatic colorectal cancer; MSI, microsatellite instability; OS, overall survival; PFS, progression-free survival; PS, Performance Status. In cohort 2, the median follow-up was 17.4 month (IQR: 11.8–51.3). Online supplemental figure 3A, B shows PFS and OS in the overall population. The presence of ascites was significantly associated with shorter PFS and OS (p<0.001 and p=0.006; figure 2A, B). Patients without peritoneal metastases had similar PFS and OS to those with peritoneal metastases and no ascites (2-year PFS rate: 50.2% vs 61.4%; HR 1.48, 95% CI 0.55 to 4.02; 2-year OS rate: 56.5% vs 60.6%; HR 1.69, 95% CI 0.55 to 5.18), whereas worse PFS and OS were restricted to patients with peritoneal metastases and ascites (2-year PFS rate: 17.7%; HR 4.57, 95% CI 2.07 to 10.09; 2-year OS rate: 26.5%, HR 4.18, 95% CI 1.70 to 10.26). Table 4 shows the univariable and multivariable models for PFS and OS: presence of ascites had an independent effect on survival outcomes (adjusted HR for PFS: 3.83 (95% CI 1.68 to 8.72); for OS: 3.44 (95% CI 1.39 to 8.53)).
Figure 2

Kaplan-Meier curves for progression-free survival (A) and overall survival (B) in the subgroups of dMMR/MSI-H mGC patients without peritoneal metastases, with peritoneal metastases and no ascites or with peritoneal metastases and ascites. dMMR, mismatch repair deficient; mGC, metastatic gastric cancer; MSI-H, microsatellite instability high; NA, not available; OS, overall survival; PFS, progression-free survival.

Table 4

Univariable and multivariable Cox proportional hazards regression models for PFS and OS in the validating set (Cohort 2: dMMR/MSI-high mGC)

CharacteristicsPFSOS
UnivariableMultivariableUnivariableMultivariable
HR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P valueHR (95% CI)P value
Sex0.6430.870
FemaleRefRef
Male0.84 (0.41 to 1.73)0.94 (0.41 to 2.11)
Age0.6950.483
<70RefRef
≥700.87 (0.44 to 1.73)0.76 (0.35 to 1.65)
Eastern Cooperative Oncology Group (ECOG) Performance Status (PS) 0.018 0.410 0.022 0.301
0RefRefRefRef
≥12.94 (1.20 to 7.18)1.54 (0.55 to 4.31)3.49 (1.20 to 10.2)1.84 (0.58 to 5.88)
Primary tumor resection 0.003 0.133 0.009 0.066
NoRefRefRefRef
Yes0.30 (0.13 to 0.66)0.46 (0.17 to 1.27)0.30 (0.12 to 0.74)0.37 (0.13 to 1.07)
Primary site of origin0.3530.419
Gastroesophageal junction (GEJ)RefRef
Gastric0.60 (0.21 to 1.75)0.60 (0.18 to 2.05)
Histology0.5060.575
IntestinalRefRef
Diffuse/other1.29 (0.61 to 2.71)1.27 (0.56 to 2.93)
Synchronous metastases0.4600.855
NoRefRef
Yes1.33 (0.63 to 2.81)0.93 (0.42 to 2.06)
Liver metastases0.2940.201
NoRefRef
Yes0.60 (0.23 to 1.56)0.46 (0.14 to 1.52)
Lymphnodal metastases0.7670.947
NoRefRef
Yes1.14 (0.49 to 2.62)0.97 (0.39 to 2.42)
Lung metastases0.7890.802
NoRefRef
Yes0.88 (0.34 to 2.28)0.87 (0.30 to 2.53)
Bone metastases 0.039 0.0650.057
NoRefRefRef
Yes3.13 (1.06 to 9.27)2.94 (0.94 to 9.20)3.36 (0.98 to 11.64)
No of metastatic sites0.1750.165
1RefRef
≥21.74 (0.78 to 3.87)1.92 (0.76 to 4.80)
Prior treatment for metastatic disease0.7920.719
NoRefRef
Yes0.87 (0.30 to 2.48)0.80 (0.24 to 2.68)
ICI regimen0.7220.908
a-PD-1RefRef
a-PD-1 +chemotherapy0.77 (0.18 to 3.24)1.10 (0.27 to 4.63)
Peritoneal metastases <0.001 0.005 0.006 0.023
NoRefRefRefRef
Yes, without ascites1.48 (0.55 to 4.02)1.87 (0.64 to 5.46)1.69 (0.55 to 5.18)2.15 (0.64 to 7.27)
Yes, with ascites4.57 (2.07 to 10.09)3.83 (1.68 to 8.72)4.18 (1.70 to 10.26)3.44 (1.39 to 8.53)

P-values marked with bold indicate statistically significant p-values.

dMMR, mismatch repair deficient; ICIs, immune checkpoint inhibitors; mGC, metastatic gastric cancer; MSI, microsatellite instability; OS, overall survival; PFS, progression-free survival.

Kaplan-Meier curves for progression-free survival (A) and overall survival (B) in the subgroups of dMMR/MSI-H mGC patients without peritoneal metastases, with peritoneal metastases and no ascites or with peritoneal metastases and ascites. dMMR, mismatch repair deficient; mGC, metastatic gastric cancer; MSI-H, microsatellite instability high; NA, not available; OS, overall survival; PFS, progression-free survival. Univariable and multivariable Cox proportional hazards regression models for PFS and OS in the validating set (Cohort 2: dMMR/MSI-high mGC) P-values marked with bold indicate statistically significant p-values. dMMR, mismatch repair deficient; ICIs, immune checkpoint inhibitors; mGC, metastatic gastric cancer; MSI, microsatellite instability; OS, overall survival; PFS, progression-free survival.

Discussion

In this study, the presence of ascites, but not peritoneal involvement without ascites, was associated with extremely poor survival outcomes in the largest reported cohort of patients with dMMR/MSI-H mCRC and mGC treated with ICIs. The results were consistent in both a very large primary analysis dataset of mCRC and an external validation set of patients with dMMR/MSI-H mGC. Despite the association of ascites with worse performance status and other unfavorable features (such as RAS wild-type/BRAF mutated status in mCRC, and synchronous presentation/non-resected primary tumor in mGC), the presence of ascites was independently associated with both PFS and OS, and notably demonstrated a similar HR >3.0 in both dMMR/MSI-H mCRC and dMMR/MSI mGC. We acknowledge that the lack of independent, central imaging revision is a limitation of our study, since mild amounts of ascites may not be reported systematically. However, the presence of peritoneal involvement and ascites was assessed at each center by expert radiologists, ensuring a high quality of the radiology reports. The reproducibility of our results confirms the agnostic role of MSI as a predictive biomarker for the efficacy of ICIs and establish the role of malignant ascites as a poor prognostic factor for dMMR/MSI-H mCRC treated with anti-PD(L)-1 agents or dMMR/MSI-H mGC treated with anti-PD-1 agents±chemotherapy independently from the anatomic tumor site of origin. The frequency of malignant ascites was much higher in patients with mGC (28.8%), consistent with the higher frequency of peritoneal involvement in this tumor type, compared with those with mCRC (5%).19 Despite the potential generalizability of our results to all patients with MSI-high advanced solid tumors, caution should be adopted in specific tumor types with extremely low frequency of dMMR/MSI-H—such as cholangiocarcinoma and pancreatic cancers. In fact, non-randomized trial cohorts showed lower than expected response rates to PD-1 blockade in these specific cancers, consistent with a highly immune-suppressive tumor microenvironment that may counterbalance the positive effect of hypermutation.7 Our study cannot clarify if malignant ascites is just a poor prognostic factor (which is well established for patients with advanced GI cancers20 21) or if it is predictive of resistance to current ICI-based strategies. However, several works highlighted the immunosuppressive environment of serous human cavities and malignant effusions.15–17 22–25 Contrary to the more intuitive theory that peritoneum and pleura could represent an immune-excluded milieu because of the difficulty of immune system to penetrate the effusion fluids, recent studies supported the idea of serous cavities as an immune-enriched environment with high concentration of immune-suppressive cells such as macrophages, myeloid-derived suppressive cells and T regulatory cells.15–17 Also, a recent work showed that cavity-resident Tim-4+ macrophages populate the pleural and peritoneal microenvironment and can induce an immune-suppressed microenvironment by impairing CD8+ T cells proliferation.17 In this context, dual Tim-4/PD-1 blockade was synergic in murine models.17 In attempt to clinically validate these results, the authors analyzed a monocentre cohort of 61 patients with MSI-high mCRC treated with ICIs, reporting worse outcomes in those with peritoneal metastases, with unadjusted HRs for PFS and OS of 2.69 and 3.59, respectively. However, given the relatively low prevalence of ascites in their cohort of mCRC, it was not possible to investigate the prognostic impact of peritoneal metastases in a multivariable model and according to the presence or absence of malignant effusion. Recently, the immune-suppressed microenvironment of ascites was demonstrated also in patients with mGC, irrespective of MMR status.22 Consistent with these findings, similar data were found in other immune-sensitive tumors.23 24 In a multicentre retrospective series, patients with metastatic non-small cell lung cancer and pleural effusion treated with anti-PD(L)-1 agents showed poorer survival outcomes and higher early death rates, even in the subgroup with high PD-L1 expression.25 Our work has several potential implications for clinical practice. First, a subset of patients may sometimes develop ascites as a late-stage complication of peritoneal metastases. Based on the recent results of the Keynote-177 first-line mCRC trial,2 and considering that our study showed that no prior treatment for advanced disease was independently associated with good outcomes, ICIs should be offered as early as possible in patients with peritoneal metastases and hopefully prior to the development of malignant ascites. Second, we showed that patients with ascites treated with anti-PD(L)-1 monotherapy had worse outcomes and almost all were dead by the 2-year time point, whereas no PFS and OS events were reported in patients treated with anti-CTLA-4 plus anti-PD-1 combination. The peculiar immune microenvironment of the serous cavities in the presence of ascites might confer a particular susceptibility to anti-CTLA-4-mediated priming of T cells, explaining (at least in part) why we observed extremely good outcomes in mCRC patients with ascites treated with the combination of anti-CTLA-4 plus anti-PD-1 combination. Despite the greater efficacy reported with dual immune checkpoint blockade in non-randomized studies and in our series, the potential benefit of adding anti-CTLA-4 agents to an anti-PD(L)-1 backbone in patients with dMMR/MSI-H mCRC and malignant ascites should be interpreted with caution considering the low number of patients included in this analysis. Notably our results are aligned with the observation that dual checkpoint inhibition yielded relatively better outcomes in patients with poor prognostic features such as those with elevated systemic inflammation and poorer PS.14 26–28 Based on these considerations, the use of more aggressive therapies such as dual CTLA-4/PD-1 inhibition and chemoimmunotherapy in patients with dMMR/MSI-H advanced GI cancers and ascites may be warranted. Additional novel strategies including intraperitoneal delivery of immunomodulatory agents and exploration of checkpoints enriched in peritoneal metastases (eg, VISTA, LAG3, and TIM3) are worthy of further exploration.29–31 Prospective validation of the potential predictive role of ascites with regard to the intensification of ICI-based regimens may be possible from post-hoc analyses of ongoing randomized trials, for instance, the ongoing COMMIT trial investigating FOLFOX/bevacizumab/atezolizumab vs atezolizumab (NCT02997228) or the ongoing CA209-8HW trial with ipilimumab–nivolumab versus nivolumab across multiple treatment lines (NCT04008030). The same concept may be applied to patients with dMMR/MSI-H mGC. In fact, although the outcomes of these subjects were not different when receiving anti-PD-1 alone or with chemotherapy,4 8 32 the addition of chemotherapy to ICI should be further investigated in the relevant subgroup of patients with dMMR/MSI-H mGC and malignant ascites. In conclusion, patients with dMMR/MSI-H mCRC or mGC with peritoneal metastases and ascites have inferior outcomes with ICI therapy and should be viewed as a clinical subgroup requiring particular attention. Importantly, peritoneal involvement without ascites may not impart the same unfavorable outcomes and should not be regarded as a clinical factor associated with failure of ICIs.
  30 in total

1.  A Stromal Niche Defined by Expression of the Transcription Factor WT1 Mediates Programming and Homeostasis of Cavity-Resident Macrophages.

Authors:  Matthew B Buechler; Ki-Wook Kim; Emily J Onufer; Jesse W Williams; Christine C Little; Claudia X Dominguez; Qingling Li; Wendy Sandoval; Jonathan E Cooper; Charles A Harris; Melissa R Junttila; Gwendalyn J Randolph; Shannon J Turley
Journal:  Immunity       Date:  2019-06-20       Impact factor: 31.745

2.  Pembrolizumab versus paclitaxel for previously treated, advanced gastric or gastro-oesophageal junction cancer (KEYNOTE-061): a randomised, open-label, controlled, phase 3 trial.

Authors:  Kohei Shitara; Mustafa Özgüroğlu; Yung-Jue Bang; Maria Di Bartolomeo; Mario Mandalà; Min-Hee Ryu; Lorenzo Fornaro; Tomasz Olesiński; Christian Caglevic; Hyun C Chung; Kei Muro; Eray Goekkurt; Wasat Mansoor; Raymond S McDermott; Einat Shacham-Shmueli; Xinqun Chen; Carlos Mayo; S Peter Kang; Atsushi Ohtsu; Charles S Fuchs
Journal:  Lancet       Date:  2018-06-04       Impact factor: 79.321

3.  Pseudoprogression in patients treated with immune checkpoint inhibitors for microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer.

Authors:  Raphael Colle; Anna Radzik; Romain Cohen; Anna Pellat; Daniel Lopez-Tabada; Marine Cachanado; Alex Duval; Magali Svrcek; Yves Menu; Thierry André
Journal:  Eur J Cancer       Date:  2020-12-11       Impact factor: 9.162

4.  Pleural effusion is a negative prognostic factor for immunotherapy in patients with non-small cell lung cancer (NSCLC): The pluie study.

Authors:  Nicolas Epaillard; Jose Carlos Benitez; Teresa Gorria; Elizabeth Fabre; Mariona Riudavets; Roxana Reyes; David Planchard; Stéphane Oudard; Nuria Viñolas; Noemi Reguart; Benjamin Besse; Laura Mezquita; Edouard Auclin
Journal:  Lung Cancer       Date:  2021-03-24       Impact factor: 5.705

5.  ESMO recommendations on microsatellite instability testing for immunotherapy in cancer, and its relationship with PD-1/PD-L1 expression and tumour mutational burden: a systematic review-based approach.

Authors:  C Luchini; F Bibeau; M J L Ligtenberg; N Singh; A Nottegar; T Bosse; R Miller; N Riaz; J-Y Douillard; F Andre; A Scarpa
Journal:  Ann Oncol       Date:  2019-08-01       Impact factor: 32.976

Review 6.  Malignant Pleural Effusions-A Window Into Local Anti-Tumor T Cell Immunity?

Authors:  Nicola Principe; Joel Kidman; Richard A Lake; Willem Joost Lesterhuis; Anna K Nowak; Alison M McDonnell; Jonathan Chee
Journal:  Front Oncol       Date:  2021-04-27       Impact factor: 6.244

7.  Phase II Open-Label Study of Pembrolizumab in Treatment-Refractory, Microsatellite Instability-High/Mismatch Repair-Deficient Metastatic Colorectal Cancer: KEYNOTE-164.

Authors:  Dung T Le; Tae Won Kim; Eric Van Cutsem; Ravit Geva; Dirk Jäger; Hiroki Hara; Matthew Burge; Bert O'Neil; Petr Kavan; Takayuki Yoshino; Rosine Guimbaud; Hiroya Taniguchi; Elena Elez; Salah-Eddin Al-Batran; Patrick M Boland; Todd Crocenzi; Chloe E Atreya; Yi Cui; Tong Dai; Patricia Marinello; Luis A Diaz; Thierry André
Journal:  J Clin Oncol       Date:  2019-11-14       Impact factor: 44.544

8.  Predictive role of microsatellite instability for of PD-1 blockade in patients with advanced gastric cancer: a meta-analysis of randomized clinical trials.

Authors:  F Pietrantonio; G Randon; M Di Bartolomeo; A Luciani; J Chao; E C Smyth; F Petrelli
Journal:  ESMO Open       Date:  2021-01-15

9.  Efficacy and Safety of Pembrolizumab or Pembrolizumab Plus Chemotherapy vs Chemotherapy Alone for Patients With First-line, Advanced Gastric Cancer: The KEYNOTE-062 Phase 3 Randomized Clinical Trial.

Authors:  Kohei Shitara; Eric Van Cutsem; Yung-Jue Bang; Charles Fuchs; Lucjan Wyrwicz; Keun-Wook Lee; Iveta Kudaba; Marcelo Garrido; Hyun Cheol Chung; Jeeyun Lee; Hugo Raul Castro; Wasat Mansoor; Maria Ignez Braghiroli; Nina Karaseva; Christian Caglevic; Luis Villanueva; Eray Goekkurt; Hironaga Satake; Peter Enzinger; Maria Alsina; Al Benson; Joseph Chao; Andrew H Ko; Zev A Wainberg; Uma Kher; Sukrut Shah; S Peter Kang; Josep Tabernero
Journal:  JAMA Oncol       Date:  2020-10-01       Impact factor: 31.777

10.  Tim-4+ cavity-resident macrophages impair anti-tumor CD8+ T cell immunity.

Authors:  Andrew Chow; Sara Schad; Michael D Green; Matthew D Hellmann; Viola Allaj; Nicholas Ceglia; Giulia Zago; Nisargbhai S Shah; Sai Kiran Sharma; Marissa Mattar; Joseph Chan; Hira Rizvi; Hong Zhong; Cailian Liu; Yonina Bykov; Dmitriy Zamarin; Hongyu Shi; Sadna Budhu; Corrin Wohlhieter; Fathema Uddin; Aditi Gupta; Inna Khodos; Jessica J Waninger; Angel Qin; Geoffrey J Markowitz; Vivek Mittal; Vinod Balachandran; Jennifer N Durham; Dung T Le; Weiping Zou; Sohrab P Shah; Andrew McPherson; Katherine Panageas; Jason S Lewis; Justin S A Perry; Elisa de Stanchina; Triparna Sen; John T Poirier; Jedd D Wolchok; Charles M Rudin; Taha Merghoub
Journal:  Cancer Cell       Date:  2021-06-10       Impact factor: 38.585

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  4 in total

1.  Resistance to systemic immune checkpoint inhibition in the peritoneal niche.

Authors:  Daryl Kai Ann Chia; Yong Xiang Gwee; Raghav Sundar
Journal:  J Immunother Cancer       Date:  2022-06       Impact factor: 12.469

Review 2.  Microsatellite Instability and Metastatic Colorectal Cancer - A Clinical Perspective.

Authors:  Tomas Buchler
Journal:  Front Oncol       Date:  2022-04-28       Impact factor: 5.738

Review 3.  Therapeutic targets and biomarkers of tumor immunotherapy: response versus non-response.

Authors:  Dong-Rui Wang; Xian-Lin Wu; Ying-Li Sun
Journal:  Signal Transduct Target Ther       Date:  2022-09-19

Review 4.  Biomarkers in Metastatic Colorectal Cancer: Status Quo and Future Perspective.

Authors:  Alberto Puccini; Andreas Seeber; Martin D Berger
Journal:  Cancers (Basel)       Date:  2022-10-03       Impact factor: 6.575

  4 in total

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