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Intismeran Autogene mRNA Vaccine Phase III — PatSnap Eureka

Intismeran Autogene mRNA Vaccine Phase III — PatSnap Eureka
Phase III Melanoma · mRNA Oncology

Intismeran Autogene mRNA Cancer Vaccine: Phase III Adjuvant Melanoma Readout

mRNA-4157/V940 (intismeran autogene) combined with pembrolizumab (Keytruda) delivered a 44% reduction in risk of recurrence or death at 3-year follow-up in high-risk resected melanoma. Explore the patent landscape, clinical data, and IP strategy powering this landmark program.

KEYNOTE-942 3-Year RFS: mRNA-4157 + Pembrolizumab 74.8% vs Pembrolizumab Alone 55.6%; 44% Risk Reduction in Recurrence or Death Bar chart showing 3-year recurrence-free survival rates from the KEYNOTE-942 Phase 2b trial. The combination arm (mRNA-4157 plus pembrolizumab) achieved 74.8% RFS versus 55.6% for pembrolizumab alone, representing a 44% reduction in risk of recurrence or death. Source: Luke et al., 2024; Weber et al., 2024. 100% 75% 50% 25% 0% 74.8% 55.6% mRNA-4157 + Pembrolizumab Pembrolizumab Alone 44% reduction in risk of recurrence or death
KEYNOTE-942 Phase 2b · 3-Year Follow-Up · Source: Luke et al., 2024
44%
Reduction in risk of recurrence or death (KEYNOTE-942, 3-yr)
74.8%
3-year RFS rate, mRNA-4157 + pembrolizumab combination arm
34
Patient-specific tumor neoantigens encoded per vaccine construct
20+
ModernaTX patents covering personalized mRNA cancer vaccine platform
Clinical Evidence

KEYNOTE-942: Durable Survival Benefit Across 3-Year Follow-Up

The KEYNOTE-942 Phase 2b trial evaluated mRNA-4157 (V940) — now designated intismeran autogene — in combination with pembrolizumab versus pembrolizumab alone in patients with high-risk resected melanoma (Stage IIB–IV). Updated data from Luke et al. (2024) confirmed a 3-year recurrence-free survival (RFS) rate of 74.8% in the combination arm versus 55.6% in the comparator arm, representing a 44% reduction in risk of recurrence or death.

A distant metastasis-free survival (DMFS) benefit was also observed in the combination arm, further supporting the clinical meaningfulness of the signal. The safety profile remained manageable with no new safety signals identified at extended follow-up, consistent with the established profiles of each agent administered as monotherapy. These results provided the pivotal rationale for advancement to the Phase 3 program.

Immune correlate analyses confirmed that neoantigen-specific CD8+ T cell responses were induced by the vaccine, providing mechanistic validation of the platform's mode of action in the clinical setting. This evidence base supports the ongoing patent landscape analysis and IP strategy monitoring available through PatSnap Eureka.

KEYNOTE-942 Key Outcomes
74.8%
3-yr RFS — Combination arm
55.6%
3-yr RFS — Pembrolizumab alone
44%
Reduction in risk of recurrence or death at 3-year follow-up
Trial Population
  • High-risk resected melanoma, Stage IIB–IV
  • Post-complete surgical resection (adjuvant setting)
  • CD8+ T cell neoantigen-specific responses confirmed
  • DMFS benefit observed in combination arm
  • No new safety signals at 3-year follow-up
Mechanism of Action

How mRNA-4157 + Pembrolizumab Generates Synergistic Anti-Tumour Immunity

The combination exploits complementary immune pathways — vaccine-driven T-cell priming and checkpoint-driven T-cell rescue — to produce durable anti-tumour responses neither agent achieves alone.

Step 1 — Vaccine

Personalised Neoantigen mRNA Encoding

Whole exome sequencing and RNA sequencing of the patient's tumour identify somatic mutations. Machine learning algorithms select up to 34 high-quality mutation-associated neoantigens (MANAs). These are encoded as a single mRNA construct, formulated in lipid nanoparticles (LNPs) for intramuscular delivery, and manufactured within weeks of biopsy.

Up to 34 neoantigens per construct
Step 2 — Immune Priming

Dendritic Cell Cross-Presentation & T-Cell Activation

LNP-delivered mRNA is taken up by antigen-presenting cells, particularly dendritic cells, which cross-present neoantigen peptides to both CD4+ helper T cells and CD8+ cytotoxic T cells. This generates a de novo, patient-specific anti-tumour immune response targeting mutations unique to that patient's cancer.

CD4+ and CD8+ T cell induction
Step 3 — Checkpoint Rescue

Pembrolizumab Reverses T-Cell Exhaustion

Tumour-infiltrating T cells upregulate PD-1, rendering them exhausted and unable to kill cancer cells. Pembrolizumab (anti-PD-1) blocks this suppressive signal, restoring effector function. In combination with the vaccine, pembrolizumab sustains the newly primed neoantigen-specific T cells, preventing their exhaustion in the tumour microenvironment.

PD-1 blockade synergy
Step 4 — Durable Response

Immune Memory and Recurrence Prevention

The combination of vaccine-induced T-cell priming and checkpoint-maintained effector function produces immune memory against patient-specific neoantigens. Clinical evidence from KEYNOTE-942 confirms that neoantigen-specific CD8+ T cell responses are detectable and durable, correlating with the sustained recurrence-free survival benefit observed at 3-year follow-up.

Durable immune memory confirmed
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Map the Full mRNA-4157 Mechanism Patent Landscape

Search patents covering LNP delivery, neoantigen selection algorithms, and combination regimens.

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Patent & Clinical Data Analysis

IP Filing Activity and Clinical Outcome Data: mRNA-4157 Programme

PatSnap Eureka analysis of ModernaTX patent filings and published clinical data from the KEYNOTE-942 programme.

ModernaTX Patent Portfolio by Technology Domain

Distribution of identified ModernaTX patents across five core technology domains in the personalised mRNA cancer vaccine programme, based on PatSnap Eureka analysis.

ModernaTX Patent Portfolio by Domain: Neoantigen Epitope Selection 5 patents, Combination Therapy Anti-PD-1 5 patents, Adjuvant Regimens and Clinical 3 patents, Manufacturing and Delivery 3 patents, Biomarker and Response Prediction 2 patents Horizontal bar chart showing ModernaTX patent counts across five technology domains for the personalised mRNA cancer vaccine programme. Neoantigen epitope selection and combination therapy with anti-PD-1 lead with 5 patents each, reflecting the core IP strategy. Source: PatSnap Eureka patent analysis. Neoantigen Epitope Selection Combination Therapy (Anti-PD-1) Adjuvant Regimens Manufacturing & Delivery Biomarker & Response Prediction 5 5 3 3 2 0 1 2 3 4 5 Number of Patents (PatSnap Eureka Analysis)

3-Year RFS Rate Comparison: Combination vs Monotherapy

KEYNOTE-942 Phase 2b: mRNA-4157 + pembrolizumab (74.8% RFS) vs pembrolizumab alone (55.6% RFS) at 3-year follow-up in high-risk resected melanoma Stage IIB–IV.

3-Year RFS Rates KEYNOTE-942: mRNA-4157 plus Pembrolizumab 74.8%, Pembrolizumab Alone 55.6%, representing a 44% reduction in risk of recurrence or death Side-by-side donut charts comparing 3-year recurrence-free survival rates from KEYNOTE-942 Phase 2b. Left donut shows the combination arm at 74.8% RFS; right donut shows pembrolizumab monotherapy at 55.6% RFS. Source: Luke et al. 2024, Weber et al. 2024. 74.8% 3-yr RFS mRNA-4157 + Pembro 55.6% 3-yr RFS Pembrolizumab Alone 44% risk reduction

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IP Landscape

ModernaTX Core Patent Portfolio: mRNA-4157/V940 Programme

PatSnap Eureka identified 20+ ModernaTX patents covering the full personalised mRNA cancer vaccine value chain, from neoantigen epitope selection to manufacturing and clinical combination regimens. BioNTech SE holds competing IP in individualized mRNA cancer vaccines with LNP delivery and checkpoint inhibitor combinations.

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Unlock the Full mRNA-4157 Patent Table
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BioNTech competing IP Claim-level comparison Legal status + more
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Biomarkers & Programme Expansion

Predictive Biomarkers and Pipeline Expansion Beyond Melanoma

KEYNOTE-942 biomarker analyses and the mRNA-4157 pipeline expansion to NSCLC and other solid tumours represent the next strategic frontier for the Moderna/Merck collaboration.

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Tumour Mutational Burden as a Predictive Biomarker

Biomarker analyses from the KEYNOTE-942 cohort identified tumour mutational burden (TMB), neoantigen quality, and immune gene expression signatures as predictive of recurrence-free survival benefit. High TMB and CD8+ T-cell infiltration were associated with superior outcomes, supporting patient selection strategies for Phase 3 enrollment.

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Neoantigen Quality and Immune Gene Expression Signatures

Beyond TMB, neoantigen quality metrics — including predicted MHC binding affinity and expression levels — and immune gene expression signatures were identified as independent predictors of RFS benefit. These biomarker correlates are now incorporated into the patient selection strategy for the Phase 3 programme and are covered in ModernaTX patent WO2024054836A1.

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NSCLC Phase 3 design Manufacturing IP Competitive moat analysis
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PatSnap Eureka for Oncology IP

AI-Powered Intelligence for mRNA Cancer Vaccine R&D and IP Strategy

PatSnap Eureka brings together patent data, clinical literature, and AI-driven analysis to give oncology R&D teams and IP professionals a complete picture of the personalised mRNA vaccine landscape. Whether you are tracking the mRNA-4157/V940 programme, monitoring BioNTech's competing filings, or assessing freedom-to-operate for a new neoantigen selection algorithm, Eureka provides the intelligence you need.

The PatSnap Analytics platform enables patent landscape analysis across the full mRNA oncology space, including LNP delivery systems, neoantigen prediction algorithms, and combination immunotherapy regimens. Integrated literature search surfaces clinical evidence from sources including NEJM, ASCO, and ESMO alongside patent data.

For life sciences teams, PatSnap's life sciences solution provides dedicated workflows for drug target validation, competitive intelligence, and clinical trial monitoring — all accessible from a single platform. The PatSnap API enables integration of patent intelligence directly into R&D workflows and data pipelines.

What You Can Do in Eureka
  • Search 20+ mRNA-4157 ModernaTX patents by claim, assignee, or date
  • Compare ModernaTX vs BioNTech neoantigen selection IP
  • Track KEYNOTE-942 Phase 3 clinical trial filings and updates
  • Identify biomarker prediction patents for patient selection
  • Monitor LNP formulation and manufacturing patent activity
  • Assess freedom-to-operate for new combination regimens
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Platform Coverage
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Innovators using PatSnap
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Frequently asked questions

Intismeran Autogene mRNA Vaccine — Key Questions Answered

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References

  1. Luke JJ et al. "Adjuvant Pembrolizumab Plus Personalized mRNA Cancer Vaccine in High-Risk Resected Melanoma: Updated Results from KEYNOTE-942." 2024.
  2. Weber JS et al. "Personalized mRNA Cancer Vaccine in Combination with Pembrolizumab Provides Durable Benefit in Resected High-Risk Melanoma." 2024.
  3. Sullivan RJ et al. "mRNA-4157 (V940) Individualized Neoantigen Therapy: Clinical Evidence and Future Development in Melanoma." 2024.
  4. Snyder A et al. "Neoantigen Cancer Vaccines: Mechanisms, Clinical Development and Future Directions." 2024.
  5. Milhem M et al. "Biomarkers Predictive of Response to Personalized mRNA Cancer Vaccine in Melanoma." 2023.
  6. de Azambuja E et al. "Combination of Personalized Neoantigen mRNA Vaccine and Checkpoint Inhibitor in Solid Tumors: A Systematic Review." 2024.
  7. Sahin U et al. "Personalized Cancer Vaccines: Current State and Future Directions." 2023.
  8. Besse B et al. "mRNA Cancer Vaccines in Non-Small Cell Lung Cancer: Translation of Melanoma Findings." 2024.
  9. Balachandran VP et al. "Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer." The Lancet. 2023.
  10. ModernaTX, Inc. Patent WO2022261018A1: "Combination Cancer Vaccine and Anti-PD-1 Therapy for Melanoma." 2022.
  11. ModernaTX, Inc. Patent WO2024054834A1: "mRNA Cancer Vaccine Combination with Anti-PD-1 for Melanoma." 2024.
  12. ModernaTX, Inc. Patent US20240207407A1: "Personalized Cancer Vaccine Epitope Selection." 2024.
  13. National Cancer Institute (NCI). Tumour Mutational Burden in Cancer Research.
  14. New England Journal of Medicine. Oncology Clinical Trial Publications.
  15. The Lancet. Cancer Immunotherapy Research.

All data and statistics on this page are sourced from the references above and from PatSnap's proprietary innovation intelligence platform.

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