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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 2117189

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PUBLISHER: Mellalta Meets LLP | PRODUCT CODE: 2117189

Second-Generation PD-(L)1 x VEGF Agents: Trispecifics, PD-1 x IL-2, and Follower Strategies | Oncology Modality Intelligence | US, EU5, Japan & China

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The first generation of PD-(L)1XVEGF bispecifics is not yet approved outside China, and the second generation has already begun. That is what happens when a class attracts this much capital this fast: leaders commoditize before they launch, and the strategic question shifts from whether the mechanism works to what followers do about it. The answers now in development fall into several designs. Trispecific constructs add a third arm - CStone's CS2009 layers CTLA-4 onto PD-1 and VEGF - betting that more biology in one molecule widens the therapeutic window. Cooperative and affinity-tuned constructs, from Crescent Biopharma's CR-001 to Ottimo's jankistomig, argue that geometry, not arm count, is the differentiator. And the PD-1XIL-2 family attacks the problem from the side, engineering cytokine activity that checkpoint blockade alone cannot recruit - the approach Innovent built with IBI363 and that Takeda optioned in October 2025 in a transaction that anchored the program's commercialization in Japan. Around these designs sit the first-generation incumbents' own answers: Akeso developing follow-ons to ivonescimab, BioNTech pairing BNT327 with its ADC and mRNA assets, Pfizer layering SSGJ-707 onto the Seagen antibody-drug conjugate base, and Summit pursuing ADC combinations for ivonescimab. The contested questions are strategic as much as scientific: does any second-generation construct differentiate enough to justify its price against a commoditizing first generation; which combinations with ADCs define the real backbone; and where do Japanese companies position, given that the Takeda-Innovent deal makes Japan a commercialization geography for the class's most-watched follower asset? This report maps each design family with named programs, the combination strategies shaping the backbone contest, the deal structures including the Japan-anchored Takeda transaction, and the follower-strategy playbook for companies entering late. It serves oncology business-development teams on both sides of the table, investors pricing the difference between generation one and generation two, and Japanese stakeholders whose options now include a direct stake in the class's next act.

Scope and Coverage

The report covers trispecific, cooperative-construct, and PD-1XIL-2 second-generation designs, incumbent follow-on and combination strategies, the Takeda-Innovent transaction and other deals, and follower playbooks, with the first-generation PD-(L)1XVEGF landscape as the reference frame.

Report Highlights

  • Second-generation design families: trispecifics, cooperative constructs, and PD-1XIL-2
  • IBI363 (TAK-928) and the Takeda-Innovent transaction (2025) anchoring Japan commercialization
  • Incumbent answers: Akeso follow-ons, BNT327-ADC combinations, and the Pfizer/Seagen layering
  • Crescent CR-001, Ottimo jankistomig, and CStone CS2009 profiled
  • ADC-combination strategies as the real backbone contest
  • Follower-strategy playbook for late entrants to the class
Product Code: JPH-109

Table of Content

1. Executive Summary

2. Second-Generation PD-(L)1 x VEGF Agents: Modality Overview and Mechanism Landscape

3. Global Pipeline and Deal Activity

4. Key Programs, Clinical Readouts, and Evidence Status

5. Japan Relevance: Trials, Approvals, and Partnerships

6. Regulatory and Pricing Considerations in Japan

7. Competitive Positioning and Valuation Considerations

8. Watch Items and Upcoming Catalysts

9. Appendix: Methodology and Sources

Companies Mentioned

  • Akeso (CN) - ivonescimab incumbent with next-generation bispecific and trispecific follow-ons
  • Summit Therapeutics (US) - ivonescimab ex-China licensee pursuing an ADC combination strategy
  • BioNTech (DE) - BNT327 combinations with in-house ADCs and mRNA assets
  • Pfizer (US) - SSGJ-707 build-out layered on the Seagen ADC base
  • 3SBio (CN) - SSGJ-707 originator with an expanding China program
  • Innovent (CN) - IBI363 PD-1/IL-2a-bias originator; Takeda global partner
  • Takeda (JP) - option holder for IBI363 (TAK-928), IBI343, and IBI3001 with Japan-anchored commercialization via the Oct 2025 Innovent transaction
  • Merck & Co (US) - LM-299 follower entry from LaNova
  • LaNova Medicines (CN) - LM-299 originator
  • ImmuneOnco (CN) - IMM2510 PD-L1XVEGF originator
  • Instil Bio (US) - IMM2510 ex-China licensee
  • Crescent Biopharma (US) - CR-001 cooperative PD-1XVEGF bispecific
  • Ottimo Pharma (UK) - jankistomig PD-1XVEGFR2 bifunctional antibody
  • CStone Pharmaceuticals (CN) - CS2009 PD-1XVEGFXCTLA-4 trispecific
Product Code: JPH-109

List of Tables

  • Table 1. First-generation PD-(L)1XVEGF recap: the commoditization thesis
  • Table 2. Second-generation design taxonomy: trispecifics, cooperative constructs, and cytokine fusions
  • Table 3. CStone CS2009: PD-1XVEGFXCTLA-4 trispecific design and development plan
  • Table 4. Crescent Biopharma CR-001: cooperative PD-1XVEGF binding design
  • Table 5. Ottimo Pharma jankistomig: PD-1XVEGFR2 bifunctional approach
  • Table 6. Innovent IBI363: PD-1/IL-2 alpha-bias engineering and clinical program
  • Table 7. Takeda-Innovent transaction (2025): IBI363, IBI343, and IBI3001 option structure
  • Table 8. TAK-928 development plan under the Takeda option and Japan commercialization design
  • Table 9. IL-2 engineering primer: alpha-bias, beta-gamma bias, and not-alpha designs
  • Table 10. Competing PD-1XIL-2 and cytokine-fusion programs in global development
  • Table 11. Akeso follow-on constructs behind ivonescimab
  • Table 12. Summit Therapeutics ADC-combination strategy for ivonescimab
  • Table 13. BioNTech BNT327 combinations with in-house ADCs and mRNA assets
  • Table 14. Pfizer layering of SSGJ-707 onto the Seagen ADC base
  • Table 15. 3SBio expansion of the SSGJ-707 China program
  • Table 16. Merck & Co LM-299 follower positioning from the LaNova license (2024)
  • Table 17. ImmuneOnco IMM2510 and Instil Bio follower strategy
  • Table 18. ADC-combination rationale on PD-(L)1XVEGF backbones
  • Table 19. Triplet-regimen designs: bispecific backbone plus ADC plus chemotherapy
  • Table 20. Sequencing questions between first- and second-generation constructs
  • Table 21. Biomarker strategies for differentiating second-generation agents
  • Table 22. Safety-engineering goals for IL-2-bearing constructs
  • Table 23. China development environment for second-generation IO constructs
  • Table 24. Japan development and commercialization footprint across second-generation programs
  • Table 25. PMDA consultation strategy for novel trispecific and cytokine-fusion formats
  • Table 26. NHI pricing interaction between first- and second-generation entrants
  • Table 27. Japanese majors' option positions in the class beyond the Takeda transaction
  • Table 28. Deal and partnership activity in second-generation IO, 2024-2026
  • Table 29. Deal-term benchmarks for follower and second-generation licenses
  • Table 30. Manufacturing considerations for trispecific and fusion constructs
  • Table 31. Competitive-position matrix of second-generation programs
  • Table 32. Scenario grid for class segmentation: backbone, combination, and niche positions
  • Table 33. Scenario grid for the PD-1XIL-2 family against PD-(L)1XVEGF
  • Table 34. Scenario grid for Japan commercialization of the Takeda-optioned assets
  • Table 35. Follower-strategy playbook: timing, differentiation, and partner selection
  • Table 36. Risk register for second-generation investors
  • Table 37. Risk register for first-generation incumbents facing follower pressure
  • Table 38. Key opinion leader perspectives on construct differentiation
  • Table 39. Trial-design considerations for demonstrating second-generation advantage
  • Table 40. Watchlist of second-generation readouts and deals, 2026-2028
  • Table 41. Stakeholder map: originators, licensees, ADC partners, and payers
  • Table 42. Technology-assessment framework for multispecific constructs
  • Table 43. Valuation frameworks for follower-stage IO assets
  • Table 44. Partnering-question checklist for companies evaluating second-generation assets
  • Table 45. Combination-partner mapping between ADC and IO portfolios
  • Table 46. Historical analogies: follower strategies in checkpoint and ADC classes
  • Table 47. Implications of the class for Japanese IO franchise planning
  • Table 48. Key-question tree for oncology BD teams
  • Table 49. Key-question tree for investors in second-generation IO
  • Table 50. Timeline of second-generation PD-(L)1XVEGF and PD-1XIL-2 development, 2023-2026

List of Figures

  • Figure 1. First-generation commoditization thesis diagram
  • Figure 2. Second-generation design taxonomy map
  • Figure 3. CS2009 trispecific architecture
  • Figure 4. CR-001 cooperative binding concept
  • Figure 5. Jankistomig bifunctional design
  • Figure 6. IBI363 PD-1/IL-2 alpha-bias engineering schematic
  • Figure 7. Takeda-Innovent transaction structure (2025)
  • Figure 8. TAK-928 development and Japan commercialization plan
  • Figure 9. IL-2 engineering design spectrum
  • Figure 10. Global PD-1XIL-2 and cytokine-fusion competitive map
  • Figure 11. Akeso follow-on construct roadmap
  • Figure 12. Summit ADC-combination strategy for ivonescimab
  • Figure 13. BioNTech BNT327 combination architecture
  • Figure 14. Pfizer SSGJ-707 layering on the Seagen base
  • Figure 15. 3SBio China program expansion map
  • Figure 16. Merck LM-299 follower position
  • Figure 17. ImmuneOnco-Instil follower structure
  • Figure 18. ADC-combination rationale on bispecific backbones
  • Figure 19. Triplet-regimen design concepts
  • Figure 20. First- versus second-generation sequencing questions
  • Figure 21. Biomarker strategies for construct differentiation
  • Figure 22. Safety-engineering goals for IL-2 constructs
  • Figure 23. China development environment for second-generation IO
  • Figure 24. Japan footprint across second-generation programs
  • Figure 25. PMDA consultation pathway for novel formats
  • Figure 26. NHI pricing interaction between generations
  • Figure 27. Japanese majors' option map in the class
  • Figure 28. Second-generation deal map, 2024-2026
  • Figure 29. Deal-term benchmark map for follower licenses
  • Figure 30. Manufacturing critical path for trispecifics and fusions
  • Figure 31. Competitive-position matrix of second-generation programs
  • Figure 32. Class-segmentation scenario tree
  • Figure 33. PD-1XIL-2 versus PD-(L)1XVEGF scenario tree
  • Figure 34. Japan commercialization scenario tree for Takeda-optioned assets
  • Figure 35. Follower-strategy playbook schematic
  • Figure 36. Risk map for second-generation investors
  • Figure 37. Risk map for first-generation incumbents
  • Figure 38. KOL perspective map on construct differentiation
  • Figure 39. Trial-design options for demonstrating second-generation advantage
  • Figure 40. Second-generation readout and deal calendar, 2026-2028
  • Figure 41. Stakeholder map across the class
  • Figure 42. Multispecific technology-assessment framework
  • Figure 43. Follower-stage IO valuation framework
  • Figure 44. Partnering checklist for second-generation assets
  • Figure 45. ADC-IO combination-partner mapping
  • Figure 46. Follower-strategy analogies from checkpoint and ADC history
  • Figure 47. Implications map for Japanese IO franchise planning
  • Figure 48. Key-question tree for BD teams
  • Figure 49. Key-question tree for investors
  • Figure 50. Second-generation IO development timeline, 2023-2026
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