Neoadjuvant immunotherapy leads to pathological responses in MMR-proficient and MMR-deficient early-stage colon cancers
Open accessAbstract
PD-1 plus CTLA-4 blockade is highly effective in advanced-stage, mismatch repair (MMR)-deficient (dMMR) colorectal cancers, yet not in MMR-proficient (pMMR) tumors. We postulated a higher efficacy of neoadjuvant immunotherapy in early-stage colon cancers. In the exploratory NICHE study (ClinicalTrials.gov: NCT03026140), patients with dMMR or pMMR tumors received a single dose of ipilimumab and two doses of nivolumab before surgery, the pMMR group with or without celecoxib. The primary objective was safety and feasibility; 40 patients with 21 dMMR and 20 pMMR tumors were treated, and 3 patients received nivolumab monotherapy in the safety run-in. Treatment was well tolerated and all patients underwent radical resections without delays, meeting the primary endpoint. Of the patients who received ipilimumab + nivolumab (20 dMMR and 15 pMMR tumors), 35 were evaluable for efficacy and translational endpoints. Pathological response was observed in 20/20 (100%; 95% exact confidence interval (CI): 86-100%) dMMR tumors, with 19 major pathological responses (MPRs, ≤10% residual viable tumor) and 12 pathological complete responses. In pMMR tumors, 4/15 (27%; 95% exact CI: 8-55%) showed pathological responses, with 3 MPRs and 1 partial response. CD8+PD-1+ T cell infiltration was predictive of response in pMMR tumors. These data indicate that neoadjuvant immunotherapy may have the potential to become the standard of care for a defined group of colon cancer patients when validated in larger studies with at least 3 years of disease-free survival data.
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In the NICHE study, patients with dMMR/MSI-H cancer responded better than pMMR/MSS patients, but an efficacy signal was also noticed in the pMMR/MSS group in a non-metastatic, locally advanced setting.
“Patients with dMMR/MSI-H cancer responded better, but an efficacy signal was also noticed in the pMMR/MSS group,105 although this was in a non-metastatic, locally advanced setting.”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [105]
Dual ICB is already established as effective in primary dMMR/MSI-H and second or later line treatment of dMMR/MSI-H mCRC.
“in addition to the already established effectiveness of this combination in primary dMMR/MSI-H and second or later line treatment of dMMR/MSI-H mCRC.105 106”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [105]
Infiltration of PD1-positive CD8+ T cells predicted response to combinatorial immune checkpoint blockade with nivolumab and ipilimumab in patients with pMMR/MSS colorectal cancer in the NICHE study.
“In line with both scores, the infiltration of PD1-positive CD8+ T cells predicted the response to combinatorial ICB with nivolumab and ipilimumab in patients with pMMR/MSS in the NICHE (Neoadjuvant Immune Checkpoint Inhibition and Novel IO Combinations in Early-Stage Colon Cancer) study.105”
From Current and emerging concepts for systemic treatment of metastatic colorectal cancer (2025) · cites this paper as [105]
Neoadjuvant immune checkpoint therapy trials have demonstrated clinical benefit in multiple tumor types including melanoma, Merkel cell carcinoma, NSCLC, MMR-deficient colorectal cancer, urothelial carcinoma, and breast cancer.
“Clinical trials with ICT in the neoadjuvant setting have now demonstrated clinical benefit in multiple tumor types, including melanoma (173, 174), Merkel cell carcinoma (175), NSCLC (176), MMRdeficient colorectal cancer (177), urothelial carcinoma (21, 178), and breast cancer (179-181).”
From The Next Decade of Immune Checkpoint Therapy (2021) · cites this paper as [177]
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377 · see citing works
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609 · see citing works
Overman, M. J., McDermott, R., Leach, J. L., Lonardi, S., Lenz, H.-J., Morse, M. A., Desai, J., Hill, A., Axelson, M., Moss, R. A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30422-9 · Cited by 2,836 · see citing works
Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients
van de Wetering, M., Francies, H. E., Francis, J. M., Bounova, G., Iorio, F., Pronk, A., van Houdt, W., van Gorp, J., Taylor-Weiner, A., Kester, L., et al. (2015) · Cell · doi:10.1016/j.cell.2015.03.053 · Cited by 2,408 · see citing works
Self-citationNeoadjuvant PD-1 Blockade in Resectable Lung Cancer
Forde, P. M., Chaft, J. E., Smith, K. N., Anagnostou, V., Cottrell, T. R., Hellmann, M. D., Zahurak, M., Yang, S. C., Jones, D. R., Broderick, S., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1716078 · Cited by 2,099 · see citing works
TGFβ drives immune evasion in genetically reconstituted colon cancer metastasis
Tauriello, D. V. F., Palomo-Ponce, S., Stork, D., Berenguer-Llergo, A., Badia-Ramentol, J., Iglesias, M., Sevillano, M., Ibiza, S., Cañellas, A., Hernando-Momblona, X., et al. (2018) · Nature · doi:10.1038/nature25492 · Cited by 1,851 · see citing works
Thommen, D. S., Koelzer, V. H., Herzig, P., Roller, A., Trefny, M., Dimeloe, S., Kiialainen, A., Hanhart, J., Schill, C., Hess, C., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0057-z · Cited by 1,161 · see citing works
Dijkstra, K. K., Cattaneo, C. M., Weeber, F., Chalabi, M., van de Haar, J., Fanchi, L. F., Slagter, M., van der Velden, D. L., Kaing, S., Kelderman, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.009 · Cited by 1,135 · see citing works
Self-citationMlecnik, B., Bindea, G., Angell, H. K., Maby, P., Angelova, M., Tougeron, D., Church, S. E., Lafontaine, L., Fischer, M., Fredriksen, T., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.02.025 · Cited by 1,034 · see citing works
Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma
Amaria, R. N., Reddy, S. M., Tawbi, H. A., Davies, M. A., Ross, M. I., Glitza, I. C., Cormier, J. N., Lewis, C., Hwu, W.-J., Hanna, E., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0197-1 · Cited by 835 · see citing works
Blank, C. U., Haanen, J. B., Ribas, A., & Schumacher, T. N. (2016) · Science · doi:10.1126/science.aaf2834 · Cited by 748 · see citing works
André, T., de Gramont, A., Vernerey, D., Chibaudel, B., Bonnetain, F., Tijeras-Raballand, A., Scriva, A., Hickish, T., Tabernero, J., Van Laethem, J. L., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.63.4238 · Cited by 683 · see citing works
Cottrell, T. R., Thompson, E. D., Forde, P. M., Stein, J. E., Duffield, A. S., Anagnostou, V., Rekhtman, N., Anders, R. A., Cuda, J. D., Illei, P. B., et al. (2018) · Annals of Oncology · doi:10.1093/annonc/mdy218 · Cited by 592 · see citing works
Detection of Mycoplasma in cell cultures
Young, L., Sung, J., Stacey, G., & Masters, J. R. (2010) · Nature Protocols · doi:10.1038/nprot.2010.43 · Cited by 437 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Saxena, M., van der Burg, S. H., Melief, C. J. M., & Bhardwaj, N. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00346-0 · Cited by 1,581 · see citing works
The Next Decade of Immune Checkpoint Therapy
Sharma, P., Siddiqui, B. A., Anandhan, S., Yadav, S. S., Subudhi, S. K., Gao, J., Goswami, S., & Allison, J. P. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1680 · Cited by 750 · see citing works
Magen, A., Hamon, P., Fiaschi, N., Soong, B. Y., Park, M. D., Mattiuz, R., Humblin, E., Troncoso, L., D’souza, D., Dawson, T., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02345-0 · Cited by 429 · see citing works
Adjuvant and neoadjuvant immunotherapies in hepatocellular carcinoma
Llovet, J. M., Pinyol, R., Yarchoan, M., Singal, A. G., Marron, T. U., Schwartz, M., Pikarsky, E., Kudo, M., & Finn, R. S. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-024-00868-0 · Cited by 391 · see citing works
Patient-derived organoids as a predictive biomarker for treatment response in cancer patients
Wensink, G. E., Elias, S. G., Mullenders, J., Koopman, M., Boj, S. F., Kranenburg, O. W., & Roodhart, J. M. L. (2021) · npj Precision Oncology · doi:10.1038/s41698-021-00168-1 · Cited by 323 · see citing works
Neoadjuvant immune checkpoint blockade: A window of opportunity to advance cancer immunotherapy
Topalian, S. L., Forde, P. M., Emens, L. A., Yarchoan, M., Smith, K. N., & Pardoll, D. M. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.07.011 · Cited by 317 · see citing works
γδ T cells are effectors of immunotherapy in cancers with HLA class I defects
de Vries, N. L., van de Haar, J., Veninga, V., Chalabi, M., Ijsselsteijn, M. E., van der Ploeg, M., van den Bulk, J., Ruano, D., van den Berg, J. G., Haanen, J. B., et al. (2023) · Nature · doi:10.1038/s41586-022-05593-1 · Cited by 311 · see citing works
Self-citationAntoniotti, C., Rossini, D., Pietrantonio, F., Catteau, A., Salvatore, L., Lonardi, S., Boquet, I., Tamberi, S., Marmorino, F., Moretto, R., et al. (2022) · The Lancet Oncology · doi:10.1016/s1470-2045(22)00274-1 · Cited by 280 · see citing works
Wagner, S. J., Reisenbüchler, D., West, N. P., Niehues, J. M., Zhu, J., Foersch, S., Veldhuizen, G. P., Quirke, P., Grabsch, H. I., van den Brandt, P. A., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.08.002 · Cited by 275 · see citing works
Kaseb, A. O., Hasanov, E., Cao, H. S. T., Xiao, L., Vauthey, J.-N., Lee, S. S., Yavuz, B. G., Mohamed, Y. I., Qayyum, A., Jindal, S., et al. (2022) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(21)00427-1 · Cited by 274 · see citing works
Metastatic recurrence in colorectal cancer arises from residual EMP1+ cells
Cañellas-Socias, A., Cortina, C., Hernando-Momblona, X., Palomo-Ponce, S., Mulholland, E. J., Turon, G., Mateo, L., Conti, S., Roman, O., Sevillano, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05402-9 · Cited by 256 · see citing works
Marron, T. U., Fiel, M. I., Hamon, P., Fiaschi, N., Kim, E., Ward, S. C., Zhao, Z., Kim, J., Kennedy, P., Gunasekaran, G., et al. (2022) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(21)00385-x · Cited by 239 · see citing works
The efficacy of PD-1/PD-L1 blockade in cold cancers and future perspectives
Majidpoor, J., & Mortezaee, K. (2021) · Clinical Immunology · doi:10.1016/j.clim.2021.108707 · Cited by 236 · see citing works
Association between pathologic response and survival after neoadjuvant therapy in lung cancer
Deutsch, J. S., Cimino-Mathews, A., Thompson, E., Provencio, M., Forde, P. M., Spicer, J., Girard, N., Wang, D., Anders, R. A., Gabrielson, E., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02660-6 · Cited by 198 · see citing works
Optimizing immunotherapy for colorectal cancer
Ganesh, K. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00569-4 · Cited by 120 · see citing works
Intratumor CMS heterogeneity impacts patient prognosis in localized colon cancer
Marisa, L., Blum, Y., Taieb, J., Ayadi, M., Pilati, C., Le Malicot, K., Lepage, C., Salazar, R., Aust, D., Duval, A., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-0529 · Cited by 68 · see citing works
Acha-Sagredo, A., Andrei, P., Clayton, K., Taggart, E., Antoniotti, C., Woodman, C. A., Afrache, H., Fourny, C., Armero, M., Moinudeen, H. K., et al. (2025) · Cancer Cell · doi:10.1016/j.ccell.2024.12.008 · Cited by 71 · see citing works
Borràs, D. M., Verbandt, S., Ausserhofer, M., Sturm, G., Lim, J., Verge, G. A., Vanmeerbeek, I., Laureano, R. S., Govaerts, J., Sprooten, J., et al. (2023) · Cell Discovery · doi:10.1038/s41421-023-00605-4 · Cited by 67 · see citing works
Combinatorial blockade for cancer immunotherapy: targeting emerging immune checkpoint receptors
Roy, D., Gilmour, C., Patnaik, S., & Wang, L. L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1264327 · Cited by 53 · see citing works
Targeting DNA Damage Response and Immune Checkpoint for Anticancer Therapy
Huang, J.-L., Chang, Y.-T., Hong, Z.-Y., & Lin, C.-S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063238 · Cited by 42 · see citing works
Yu, I., Dakwar, A., & Takabe, K. (2023) · Cells · doi:10.3390/cells12020258 · Cited by 40 · see citing works
Current and emerging concepts for systemic treatment of metastatic colorectal cancer
Steup, C., Kennel, K. B., Neurath, M. F., Fichtner-Feigl, S., & Greten, F. R. (2025) · Gut · doi:10.1136/gutjnl-2025-335412 · Cited by 39 · see citing works
Colorectal Cancer Immunotherapy: State of the Art and Future Directions
Cornista, A. M., Giolito, M. V., Baker, K., Hazime, H., Dufait, I., Datta, J., Khumukcham, S. S., De Ridder, M., Roper, J., Abreu, M. T., et al. (2023) · Gastro Hep Advances · doi:10.1016/j.gastha.2023.09.007 · Cited by 39 · see citing works
Oligometastatic Colorectal Cancer: A Review of Definitions and Patient Selection for Local Therapies
Miller, E. D., Hitchcock, K. E., & Romesser, P. B. (2023) · Journal of Gastrointestinal Cancer · doi:10.1007/s12029-022-00900-5 · Cited by 31 · see citing works
Clinical benefit of neoadjuvant anti‐PD‐1/PD‐L1 utilization among different tumors
Li, Z., Wu, X., Zhao, Y., Xiao, Y., Zhao, Y., Zhang, T., Li, H., Sha, F., Wang, Y., Deng, L., et al. (2021) · MedComm · doi:10.1002/mco2.61 · Cited by 23 · see citing works
Seligson, N. D., Chen, J. L., Goodrich, A. C., Van Tine, B. A., Campbell, J. D., Richards, A. L., Antonescu, C. R., Liebner, D. A., Milhem, M. M., Streicher, H., et al. (2024) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-009472 · Cited by 21 · see citing works
Corry, S. M., McCorry, A. M., Lannagan, T. R., Leonard, N. A., Fisher, N. C., Byrne, R. M., Tsantoulis, P., Cortes-Lavaud, X., Amirkhah, R., Redmond, K. L., et al. (2022) · Gut · doi:10.1136/gutjnl-2021-326183 · Cited by 18 · see citing works
West, N. P., Gallop, N., Kaye, D., Glover, A., Young, C., Hutchins, G. G. A., Brockmoeller, S. F., Westwood, A. C., Rossington, H., Quirke, P., et al. (2021) · Histopathology · doi:10.1111/his.14390 · Cited by 15 · see citing works
- Authors
- Chalabi, M., Fanchi, L. F., Dijkstra, K. K., Van den Berg, J. G., Aalbers, A. G., Sikorska, K., Lopez-Yurda, M., Grootscholten, C., Beets, G. L., Snaebjornsson, P., Maas, M., Mertz, M., Veninga, V., Bounova, G., Broeks, A., Beets-Tan, R. G., de Wijkerslooth, T. R., van Lent, A. U., Marsman, H. A., Nuijten, E., Kok, N. F., Kuiper, M., Verbeek, W. H., Kok, M., Van Leerdam, M. E., Schumacher, T. N., Voest, E. E., & Haanen, J. B.
- Affiliations
- The Netherlands Cancer Institute (NL)
- OLVG (NL)
- Corresponding author
- Chalabi, Myriam
- Voest, Emile E.
- ORCID
- Chalabi, Myriam
- Fanchi, Lorenzo F.
- Dijkstra, Krijn K.
- Aalbers, Arend G.
- Sikorska, Karolina
- Grootscholten, Cecile
- Beets, Geerard L.
- Snaebjornsson, Petur
- Maas, Monique
- Mertz, Marjolijn
- Veninga, Vivien
- Broeks, Annegien
- Marsman, Hendrik A.
- Kok, Niels F.
- Verbeek, Wieke H.
- Kok, Marleen
- Schumacher, Ton N.
- Voest, Emile E.
- Haanen, John B.
- Venue
- Nature Medicine
- Published
- 2020-04
- Volume
- 26
- Issue
- 4
- Pages
- 566-576
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W3015035400
- Cited by
- 1,417
- References
- 16
- Citations by year
- 2026: 162 · 2025: 241 · 2024: 261 · 2023: 287 · 2022: 219 · 2021: 173 · 2020: 67 · 2015: 2 · 2014: 1
- FWCI
- 68.36
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Amsterdam University Medical Centers
- Universiteit Leiden
- Rijksuniversiteit Groningen
- Universiteit van Amsterdam
- Radboud Universiteit
- Universiteit Maastricht
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Keywords
- neoadjuvant immunotherapy, early colon cancer, mismatch repair deficiency, ipilimumab, nivolumab, celecoxib, anti-PD-1 therapy, CTLA-4 blockade, pathological complete response, CD8+ T cell infiltration, predictive biomarkers, treatment safety and feasibility
- MeSH terms
- Antineoplastic Agents, Immunological, Ipilimumab, Nivolumab, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Cells, Cultured, Colonic Neoplasms, Combined Modality Therapy, Drug Administration Schedule, Feasibility Studies, Female, Humans, Immunotherapy, Male, Middle Aged, Neoplasm Staging, Digestive System Surgical Procedures, Treatment Failure, Neoadjuvant Therapy, DNA Mismatch Repair
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