Early radiologic signal of responsiveness to immune checkpoint blockade in microsatellite-stable/mismatch repair-proficient metastatic colorectal cancer

Sebastian Meltzer, Anne Negård, Kine M Bakke, Hanne M Hamre, Christian Kersten, Eva Hofsli, Marianne G Guren, Halfdan Sorbye, Kjersti Flatmark, Anne Hansen Ree, Sebastian Meltzer, Anne Negård, Kine M Bakke, Hanne M Hamre, Christian Kersten, Eva Hofsli, Marianne G Guren, Halfdan Sorbye, Kjersti Flatmark, Anne Hansen Ree

Abstract

Background: Immune checkpoint blockade (ICB) results in radiologic tumour response dynamics that differ from chemotherapy efficacy measures and require an early signal of clinical utility.

Methods: Previously untreated, unresectable microsatellite-stable (MSS)/mismatch repair-proficient (pMMR) colorectal cancer (CRC) patients were randomly assigned to the oxaliplatin-based Nordic FLOX regimen (control arm) or repeat sequential two FLOX cycles and two ICB cycles (experimental arm). The radiologic response was assessed every 8 weeks. In this post hoc analysis, we explored early target lesion (TL) dynamics as indicator of ICB responsiveness. Progression-free survival (PFS) was the primary endpoint.

Results: Using a landmark analysis approach, we categorised experimental-arm patients into ≥10% (N = 19) or <10% (N = 16) TL reduction at the first post-baseline response assessment. Median PFS for the groups was 16.0 (95% confidence interval (CI), 12.3-19.7) and 3.9 months (95% CI, 2.3-5.5), respectively, superior and inferior (both P < 0.01) to the median PFS of 9.8 months (95% CI, 4.9-14.7) for control arm patients (N = 31).

Conclusions: Radiologic TL reduction of ≥10% at the first post-baseline response assessment identified patients with ICB-responsive metastatic MSS/pMMR-CRC. This pragmatic measure may be used to monitor patients in investigational ICB schedules, enabling early treatment adaptation for unresponsive cases.

Trial registration: ClinicalTrials.gov number, NCT03388190 (02/01/2018).

Conflict of interest statement

AHR received, on behalf of Akershus University Hospital, a research grant from Bristol Myers-Squibb to conduct the METIMMOX trial. The authors declare no other potential conflicts of interest.

© 2022. The Author(s).

Figures

Fig. 1. Flow diagram of the selection…
Fig. 1. Flow diagram of the selection of cases for the current study.
Out of 80 screened patients, 76 were randomised to receive either eight cycles of the Nordic FLOX regimen Q2W (control arm) or two cycles of FLOX Q2W followed by two cycles of nivolumab Q2W in a repeat sequential schedule to a total of eight cycles (experimental study arm). 31 patients in the control arm and 35 patients in the experimental study arm reached the first response assessment after 8 weeks of treatment.
Fig. 2. Target lesion (TL) changes for…
Fig. 2. Target lesion (TL) changes for individual patients.
Grey columns represent the first post-baseline response assessment, which for 14 (45.2%) control arm cases (N = 31) and 11 (31.4%) experimental-arm cases (N = 35) was the best overall response. Black columns represent the overall TL changes for the remaining cases. Symbols: circle, the patient had discontinued the study treatment before the second response assessment; star, the patient had experienced complete response of TL lymph node metastases.
Fig. 3. Time until the deepest target…
Fig. 3. Time until the deepest target lesion reduction for the individual patients (dots) in control (N = 29) and experimental (N = 25) study arms.
Vertical lines indicate the median values. Cases of only target lesion increase were excluded from this analysis.
Fig. 4. Kaplan–Meier curves for progression-free survival.
Fig. 4. Kaplan–Meier curves for progression-free survival.
Shown for all control arm patients (N = 35; upper panel a) and experimental-arm patients (N = 37; lower panel a) eligible for the present analysis, with shading reflecting the 95% confidence interval, and for the patients who reached the first post-baseline response assessment (b) stratified as control arm patients (N = 31; blue curve) and experimental-arm patients with ≥10% target lesion (TL) reduction (N = 19; pink curve) or <10% reduction (N = 16; black curve; star, the referred case participating in the magnetic resonance imaging programme of liver metastases).

References

    1. Borcoman E, Kanjanapan Y, Champiat S, Kato S, Servois V, Kurzrock R, et al. Novel patterns of response under immunotherapy. Ann Oncol. 2019;30:385–96. doi: 10.1093/annonc/mdz003.
    1. Nishino M, Hatabu H, Hodi FS. Imaging of cancer immunotherapy: current approaches and future directions. Radiology. 2019;290:9–22. doi: 10.1148/radiol.2018181349.
    1. Hoos A, Wolchok JD, Humphrey RW, Hodi FS. CCR 20th anniversary commentary: immune-related response criteria-capturing clinical activity in immuno-oncology. Clin Cancer Res. 2015;21:4989–91. doi: 10.1158/1078-0432.CCR-14-3128.
    1. Andre T, Shiu KK, Kim TW, Jensen BV, Jensen LH, Punt C, et al. Pembrolizumab in microsatellite-instability-high advanced colorectal cancer. N Engl J Med. 2020;383:2207–18. doi: 10.1056/NEJMoa2017699.
    1. Colle R, Radzik A, Cohen R, Pellat A, Lopez-Tabada D, Cachanado M, et al. Pseudoprogression in patients treated with immune checkpoint inhibitors for microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer. Eur J Cancer. 2021;144:9–16. doi: 10.1016/j.ejca.2020.11.009.
    1. Cohen R, Hain E, Buhard O, Guilloux A, Bardier A, Kaci R, et al. Association of primary resistance to immune checkpoint inhibitors in metastatic colorectal cancer with misdiagnosis of microsatellite instability or mismatch repair deficiency status. JAMA Oncol. 2019;5:551–5. doi: 10.1001/jamaoncol.2018.4942.
    1. Sveen A, Kopetz S, Lothe RA. Biomarker-guided therapy for colorectal cancer: strength in complexity. Nat Rev Clin Oncol. 2020;17:11–32. doi: 10.1038/s41571-019-0241-1.
    1. Hadden WJ, de Reuver PR, Brown K, Mittal A, Samra JS, Hugh TJ. Resection of colorectal liver metastases and extra-hepatic disease: a systematic review and proportional meta-analysis of survival outcomes. HPB. 2016;18:209–20. doi: 10.1016/j.hpb.2015.12.004.
    1. Lenz HJ, Van Cutsem E, Luisa Limon M, Wong KYM, Hendlisz A, Aglietta M, et al. First-line nivolumab plus low-dose ipilimumab for microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer: the Phase II CheckMate 142 Study. J Clin Oncol. 2022;40:161–70. doi: 10.1200/JCO.21.01015.
    1. Grasso CS, Giannakis M, Wells DK, Hamada T, Mu XJ, Quist M, et al. Genetic mechanisms of immune evasion in colorectal cancer. Cancer Discov. 2018;8:730–49. doi: 10.1158/-17-1327.
    1. Corcoran RB, Grothey A. Efficacy of immunotherapy in microsatellite-stable or mismatch repair proficient colorectal cancer-fact or fiction? JAMA Oncol. 2020;6:823–4. doi: 10.1001/jamaoncol.2020.0504.
    1. Wang C, Sandhu J, Ouyang C, Ye J, Lee PP, Fakih M. 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. JAMA Netw Open. 2021;4:e2118416. doi: 10.1001/jamanetworkopen.2021.18416.
    1. Yu J, Green MD, Li S, Sun Y, Journey SN, Choi JE, et al. Liver metastasis restrains immunotherapy efficacy via macrophage-mediated T cell elimination. Nat Med. 2021;27:152–64. doi: 10.1038/s41591-020-1131-x.
    1. Ho WW, Gomes-Santos IL, Aoki S, Datta M, Kawaguchi K, Talele NP, et al. Dendritic cell paucity in mismatch repair-proficient colorectal cancer liver metastases limits immune checkpoint blockade efficacy. Proc Natl Acad Sci USA. 2021;118:e2105323118. doi: 10.1073/pnas.2105323118.
    1. Tesniere A, Schlemmer F, Boige V, Kepp O, Martins I, Ghiringhelli F, et al. Immunogenic death of colon cancer cells treated with oxaliplatin. Oncogene. 2010;29:482–91. doi: 10.1038/onc.2009.356.
    1. Pfirschke C, Engblom C, Rickelt S, Cortez-Retamozo V, Garris C, Pucci F, et al. Immunogenic chemotherapy sensitizes tumors to checkpoint blockade therapy. Immunity. 2016;44:343–54. doi: 10.1016/j.immuni.2015.11.024.
    1. Meltzer S, Kalanxhi E, Hektoen HH, Dueland S, Flatmark K, Redalen KR, et al. Systemic release of osteoprotegerin during oxaliplatin-containing induction chemotherapy and favorable systemic outcome of sequential radiotherapy in rectal cancer. Oncotarget. 2016;7:34907–17. doi: 10.18632/oncotarget.8995.
    1. Ostrup O, Dagenborg VJ, Rodland EA, Skarpeteig V, Silwal-Pandit L, Grzyb K, et al. Molecular signatures reflecting microenvironmental metabolism and chemotherapy-induced immunogenic cell death in colorectal liver metastases. Oncotarget. 2017;8:76290–304. doi: 10.18632/oncotarget.19350.
    1. Kalanxhi E, Meltzer S, Schou JV, Larsen FO, Dueland S, Flatmark K, et al. Systemic immune response induced by oxaliplatin-based neoadjuvant therapy favours survival without metastatic progression in high-risk rectal cancer. Br J Cancer. 2018;118:1322–8. doi: 10.1038/s41416-018-0085-y.
    1. Abrahamsson H, Jensen BV, Berven LL, Nielsen DL, Saltyte Benth J, Johansen JS, et al. Antitumour immunity invoked by hepatic arterial infusion of first-line oxaliplatin predicts durable colorectal cancer control after liver metastasis ablation: 8–12 years of follow-up. Int J Cancer. 2020;146:2019–26. doi: 10.1002/ijc.32847.
    1. Bains SJ, Abrahamsson H, Flatmark K, Dueland S, Hole KH, Seierstad T, et al. Immunogenic cell death by neoadjuvant oxaliplatin and radiation protects against metastatic failure in high-risk rectal cancer. Cancer Immunol Immunother. 2020;69:355–64. doi: 10.1007/s00262-019-02458-x.
    1. Dagenborg VJ, Marshall SE, Yaqub S, Grzyb K, Boye K, Lund-Iversen M, et al. Neoadjuvant chemotherapy is associated with a transient increase of intratumoral T-cell density in microsatellite stable colorectal liver metastases. Cancer Biol Ther. 2020;21:432–40. doi: 10.1080/15384047.2020.1721252.
    1. Galluzzi L, Vitale I, Warren S, Adjemian S, Agostinis P, Martinez AB, et al. Consensus guidelines for the definition, detection and interpretation of immunogenic cell death. J Immunother Cancer. 2020;8:e000337.
    1. Tveit KM, Guren T, Glimelius B, Pfeiffer P, Sorbye H, Pyrhonen S, et al. Phase III trial of cetuximab with continuous or intermittent fluorouracil, leucovorin, and oxaliplatin (Nordic FLOX) versus FLOX alone in first-line treatment of metastatic colorectal cancer: the NORDIC-VII study. J Clin Oncol. 2012;30:1755–62. doi: 10.1200/JCO.2011.38.0915.
    1. Mulkey F, Theoret MR, Keegan P, Pazdur R, Sridhara R. Comparison of iRECIST versus RECIST V.1.1 in patients treated with an anti-PD-1 or PD-L1 antibody: pooled FDA analysis. J Immunother Cancer. 2020;8:e000146. doi: 10.1136/jitc-2019-000146.
    1. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1) Eur J Cancer. 2009;45:228–47. doi: 10.1016/j.ejca.2008.10.026.
    1. Seymour L, Bogaerts J, Perrone A, Ford R, Schwartz LH, Mandrekar S, et al. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol. 2017;18:E143–52. doi: 10.1016/S1470-2045(17)30074-8.
    1. Anderson JR, Cain KC, Gelber RD. Analysis of survival by tumor response. J Clin Oncol. 1983;1:710–9. doi: 10.1200/JCO.1983.1.11.710.
    1. Adams R, Goey K, Chibaudel B, Koopman M, Punt C, Arnold D, et al. Treatment breaks in first line treatment of advanced colorectal cancer: an individual patient data meta-analysis. Cancer Treat Rev. 2021;99:102226. doi: 10.1016/j.ctrv.2021.102226.
    1. Queirolo P, Spagnolo F. Atypical responses in patients with advanced melanoma, lung cancer, renal-cell carcinoma and other solid tumors treated with anti-PD-1 drugs: A systematic review. Cancer Treat Rev. 2017;59:71–8. doi: 10.1016/j.ctrv.2017.07.002.
    1. Postow MA, Goldman DA, Shoushtari AN, Betof Warner A, Callahan MK, Momtaz P, et al. Adaptive dosing of nivolumab + ipilimumab immunotherapy based upon early, interim radiographic assessment in advanced melanoma (The ADAPT-IT Study) J Clin Oncol. 2022;40:1059–67. doi: 10.1200/JCO.21.01570.
    1. Fuca G, Corti F, Ambrosini M, Intini R, Salati M, Fenocchio E, et al. Prognostic impact of early tumor shrinkage and depth of response in patients with microsatellite instability-high metastatic colorectal cancer receiving immune checkpoint inhibitors. J Immunother Cancer. 2021;9:e002501. doi: 10.1136/jitc-2021-002501.
    1. Lau D, McLean MA, Priest AN, Gill AB, Scott F, Patterson I, et al. Multiparametric MRI of early tumor response to immune checkpoint blockade in metastatic melanoma. J Immunother Cancer. 2021;9:e003125. doi: 10.1136/jitc-2021-003125.
    1. Song J, Kadaba P, Kravitz A, Hormigo A, Friedman J, Belani P, et al. Multiparametric MRI for early identification of therapeutic response in recurrent glioblastoma treated with immune checkpoint inhibitors. Neuro Oncol. 2020;22:1658–66. doi: 10.1093/neuonc/noaa066.
    1. Nishino M, Giobbie-Hurder A, Gargano M, Suda M, Ramaiya NH, Hodi FS. Developing a common language for tumor response to immunotherapy: immune-related response criteria using unidimensional measurements. Clin Cancer Res. 2013;19:3936–43. doi: 10.1158/1078-0432.CCR-13-0895.

Source: PubMed

3
Subscribe