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LAG-3, TIM-3 & TIGIT Checkpoint Pipeline — PatSnap Eureka

LAG-3, TIM-3 & TIGIT Checkpoint Pipeline — PatSnap Eureka
Next-Generation Checkpoint Inhibitors

LAG-3, TIM-3 & TIGIT Checkpoint Inhibitor Pipeline in Solid Tumors & Hematologic Malignancies

The next-generation immune checkpoints LAG-3, TIM-3, and TIGIT have emerged as priority therapeutic targets driven by the incomplete response rates of approved PD-1/PD-L1 and CTLA-4 inhibitors. Explore the patent intelligence, clinical signals, and combination strategies shaping this rapidly maturing pipeline.

Next-Generation Checkpoint Pipeline Overview: 19 LAG-3 molecules in 108 clinical trials; 5 TIGIT molecules Phase II+; TIGIT OS HR=1.42; 1 FDA-approved LAG-3 combination (Opdualag) Key pipeline metrics for LAG-3, TIM-3, and TIGIT checkpoint inhibitors as documented in patent and literature records via PatSnap Eureka. LAG-3 leads with the broadest clinical trial footprint and the only regulatory approval in this dataset. LAG-3 PIPELINE 108 Clinical trials active 19 targeting molecules REGULATORY 1st FDA-approved LAG-3 combo Opdualag (melanoma) TIGIT PHASE II+ 5 Molecules in Phase II+ as of 2021 (BeiGene data) TIGIT PROGNOSIS 1.42 OS hazard ratio (HR) 95% CI: 1.11–1.82, solid cancers
108
LAG-3 clinical trials documented
19
LAG-3 targeting molecules evaluated
5+
Anti-TIGIT molecules in Phase II or above
243
TNBC samples in TIGIT-PVR axis study
Disease & Target Biology

Three Next-Generation Checkpoints — One Converging Rationale

Co-expression of LAG-3, TIM-3, and TIGIT with PD-1 on tumor-infiltrating lymphocytes drives deeper T cell exhaustion and poorer patient outcomes, establishing the mechanistic basis for next-generation combination strategies.

LAG-3 · CD223

LAG-3: T Cell Suppression via MHC-II and FGL1

LAG-3 is a type I transmembrane protein expressed on activated CD4+ and CD8+ T cells, NK cells, and dendritic cells. Its primary ligands include MHC class II, fibrinogen-like protein 1 (FGL1), LSECtin, and Galectin-3. LAG-3 suppresses T cell proliferation and cytokine production — notably IL-2 and IFN-γ — upon ligand engagement. FGL1 is expressed on tumor cell surfaces in breast cancer and in the cytoplasm in NSCLC, making it a key non-MHC-II ligand in the tumor microenvironment.

High LAG-3/FGL1 co-expression → immune suppression & enhanced tumor growth
TIM-3 · Hematologic Malignancies

TIM-3: Leukemic Stem Cell Vulnerability in AML/MDS

TIM-3 is expressed on dysfunctional T cells, NK cells, dendritic cells, and — critically — on leukemic stem cells in AML, a feature distinguishing it from LAG-3 and TIGIT. Ligands include phosphatidylserine (PtdSer), Galectin-9, CEACAM1, and HMGB1. This enables three mechanistic dimensions: canonical checkpoint inhibition, modulation of leukemic stem cell self-renewal, and antibody-dependent phagocytosis of TIM-3-expressing leukemic cells — making TIM-3 mechanistically distinct in the AML/MDS context.

TIM-3 on leukemic stem cells → unique AML/MDS target
TIGIT · PVR-CD226 Axis

TIGIT: Competitive Suppression of CD226 Activating Signal

TIGIT is an inhibitory receptor expressed on activated T cells, NK cells, and regulatory T cells (Tregs). It binds CD155 (PVR) and CD112 (PVRL2/Nectin-2) on tumor cells and antigen-presenting cells. TIGIT competitively outbinds CD226 (DNAM-1) for PVR, suppressing T and NK cell responses. In AML, PVR and PVRL2 overexpression on leukemic cells independently correlates with inferior outcomes across two patient cohorts, providing a tumor-intrinsic rationale for TIGIT blockade strategies.

TIGIT outcompetes CD226 for PVR → T/NK cell suppression
Shared Rationale · Co-Expression

Co-Expression of Multiple Checkpoints Drives Deeper Exhaustion

The core biological rationale shared across sources is that T cell exhaustion in the tumor microenvironment is not mediated by a single inhibitory pathway. Co-expression of LAG-3/PD-1, TIM-3/PD-1, and TIGIT/PD-1 is associated with deeper functional impairment and poorer patient outcomes. PD-1 blockade upregulates TIM-3 as a compensatory mechanism in head and neck squamous cell carcinoma, providing a mechanistic basis for sequential or co-administered next-generation checkpoint combinations in patients progressing on existing PD-1 therapies.

PD-1 blockade upregulates TIM-3 → resistance mechanism
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Pipeline Intelligence

Clinical Development & Modality Landscape

Patent and literature data reveal the development stage distribution, therapeutic modality mix, and key clinical signals across LAG-3, TIM-3, and TIGIT programs.

Development Stage by Checkpoint Target

LAG-3 leads with regulatory approval; TIM-3 and TIGIT are advancing through Phase I–III across solid tumors and hematologic malignancies.

Development Stage by Checkpoint Target: LAG-3 FDA Approved (melanoma), 108 trials, 19 molecules; TIM-3 Phase I/II (AML/MDS sabatolimab); TIGIT Phase I–III, 5 molecules Phase II+ Horizontal stage progression chart comparing LAG-3, TIM-3, and TIGIT checkpoint inhibitor programs by highest achieved development stage, derived from patent and literature analysis via PatSnap Eureka. LAG-3 is the only target with an FDA-approved combination (Opdualag) in this dataset. Preclinical Phase I Phase II Phase III Approved LAG-3 19 molecules FDA ✓ TIM-3 sabatolimab Ph I/II TIGIT 5 mols Ph II+ Ph I–III

Therapeutic Modality Distribution

Monoclonal antibodies dominate the pipeline across all three targets; bispecifics and small molecules represent emerging differentiated approaches.

Therapeutic Modality Distribution: Monoclonal Antibodies (anti-LAG-3, anti-TIM-3, anti-TIGIT), Bispecific Antibodies (PD1-TIM3, PD1-LAG3), Small Molecule Inhibitors (GSK-3 inhibition of LAG-3), TLR9 Agonist Combinations Breakdown of therapeutic modality types documented in the LAG-3, TIM-3, and TIGIT checkpoint inhibitor pipeline, derived from patent and literature analysis via PatSnap Eureka. Monoclonal antibodies are the dominant modality; bispecifics and small molecules are preclinical to early clinical. 4 Modalities Monoclonal Antibodies Anti-LAG-3, TIM-3, TIGIT Bispecific Antibodies PD1-TIM3, PD1-LAG3 Small Molecule Inhibitors GSK-3 → LAG-3 suppression TLR9 Agonist Combos Intratumoral + checkpoint

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Therapeutic Modalities

From First-in-Class mAbs to Bispecifics and Small Molecules

The dominant LAG-3 modality across retrieved results is the antagonistic monoclonal antibody, with relatlimab (BMS-986016) most prominently cited. The combination of nivolumab (anti-PD-1) + relatlimab (anti-LAG-3) — commercialized as Opdualag — received FDA approval for unresectable or metastatic melanoma, representing the first approved LAG-3 inhibitor combination. Retrieved data state that this combination "more than doubled" progression-free survival relative to nivolumab monotherapy. According to published clinical literature, 19 LAG-3 targeting molecules are being evaluated across 108 clinical trials.

For TIM-3, sabatolimab (MBG453, Novartis) is the most clinically advanced agent in this dataset, evaluated in AML and MDS in combination with hypomethylating agents (HMAs). Sabatolimab induces responses through immune checkpoint blockade, modulation of leukemic stem cell self-renewal, and antibody-dependent phagocytosis — three non-redundant mechanisms. EMD Serono's M6903 is a fully human, effector-functionless anti-TIM-3 antibody that blocks TIM-3 binding to PtdSer, CEACAM1, and Galectin-9 simultaneously. Yale University data describe durable responses in higher-risk MDS and AML in early clinical trials, with randomized trials currently ongoing.

For TIGIT, BeiGene-affiliated data report 5 anti-TIGIT molecules in Phase II or above as of 2021. In AML, antibody blockade of TIGIT's ligands PVR and PVRL2, or TIGIT blockade on immune cells, increased anti-leukemic cytolytic activity — including synergy with the BiTE construct AMG 330. An emerging small-molecule approach via GSK-3α/β inhibition downregulates LAG-3 expression on CD4+ and CD8+ T cells, with GSK-3 SMIs outperforming LAG-3 antibody blockade alone in a B16 melanoma preclinical model. This represents an indirect, transcriptional mechanism of LAG-3 suppression distinct from direct receptor blockade — relevant to small-molecule immuno-oncology programs. Learn more about the broader immune checkpoint biology at NIH.

2×+
PFS improvement: nivolumab + relatlimab vs nivolumab alone (melanoma)
3
Non-redundant mechanisms of sabatolimab in AML/MDS
5
Anti-TIGIT molecules in Phase II or above (BeiGene, 2021)
3
TIM-3 ligands simultaneously blocked by M6903 (PtdSer, CEACAM1, Gal-9)
Key Molecules in This Dataset
  • Relatlimab (BMS-986016) — anti-LAG-3, FDA approved
  • Sabatolimab (MBG453, Novartis) — anti-TIM-3, AML/MDS
  • M6903 (EMD Serono) — anti-TIM-3, triple ligand blockade
  • IMP321 — soluble LAG-3-Ig fusion protein
  • AMG 330 — anti-CD33 BiTE, TIGIT synergy in AML
  • GSK-3 SMIs — indirect LAG-3 transcriptional suppression
Combination Strategies

Convergent Signals Pointing to Combination-Centric Development

Retrieved results reveal multiple convergent combination strategies across LAG-3, TIM-3, and TIGIT programs — from established backbone doublets to trimodal regimens and bispecific co-blockade.

🔗

LAG-3 + PD-1: Established Backbone

The LAG-3/PD-1 co-blockade combination is the most evidence-supported pairing in this dataset — supported by BMS patents explicitly claiming this combination, Regeneron patents claiming the same, and multiple academic publications documenting preclinical synergy and clinical trial data. A new generation of bispecific PD-1/LAG-3 blocking agents with "strong capacities to specifically target PD-1+ LAG-3+ highly exhausted T cells" is described in retrieved Navarrabiomed literature.

⚗️

LAG-3 + PD-1 + Chemotherapy (Gastric/GEJ)

BMS patents specifically extend the LAG-3 + PD-1 combination to include chemotherapy in gastric and gastroesophageal junction cancer patients, signaling an indication-specific trimodal strategy. Retrieved EP, IL, and SG patent families reflect active prosecution of this combination method claim across multiple jurisdictions. Drug developers should anticipate freedom-to-operate constraints in this indication space.

🧬

TIM-3 + PD-1: Bispecific & Sequential

University of Basel data characterize ex vivo tumor responses to PD1-TIM3 bispecific antibodies using multicolor flow cytometry, scRNA-seq, and multiplex analysis — demonstrating differential molecular and cellular effects compared to anti-PD-1 monotherapy. TIM-3 compensatory upregulation after PD-1 blockade in HNSCC tumor-infiltrating lymphocytes further supports combined targeting. TIM-3 is also proposed as a target in HCC, where PD-1 inhibitors are already approved, via life sciences IP intelligence.

🎯

TIGIT + PD-1: Most Actively Pursued Clinical Combination

High TIGIT expression correlates with inferior overall survival (HR = 1.42, 95% CI: 1.11–1.82) in solid cancers, and dual TIGIT/PD-1 blockade is the primary therapeutic strategy proposed. Co-expression of PD-1 and TIGIT on circulating CD8+ T cells in melanoma patients was identified as a baseline biomarker predictive of response to PD-1 inhibition. In GBM, anti-PD-1 + anti-TIGIT dual therapy significantly improved survival in a murine GL261-luc+ model, with increased effector T cell function and Treg downregulation.

🔒
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TIGIT + BiTE AML data TLR9 agonist IP GSK-3 SMI combos + more
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Assignee & IP Landscape

Who Holds the Dominant Checkpoint Inhibitor IP Positions?

Commercial IP is concentrated at a smaller number of entities while mechanistic and biomarker research is academically driven — a pattern consistent across the LAG-3, TIM-3, and TIGIT field.

Assignee Target(s) Activity Type Key Signal Jurisdictions
Bristol-Myers Squibb LAG-3 Patent 5+ filings: LAG-3+ tumor treatment & LAG-3+PD-1+chemo in gastric/GEJ cancer EP (active 2023), IL, SG
Regeneron Pharmaceuticals LAG-3 + PD-1 Patent 2 patents: PD-1 + LAG-3 inhibitor combination methods IL, SG (2021)
Idera Pharmaceuticals Multi-checkpoint Patent TLR9 agonist + checkpoint inhibitor; intratumoral delivery (2 patents, both inactive) IL (2017, 2022)
Genentech / Roche TIGIT Literature TIGIT-CD226-PVR axis characterization; biomarker development in atezolizumab trials
EMD Serono (Merck KGaA) TIM-3 Literature M6903 anti-TIM-3 mAb: blocks PtdSer, CEACAM1, Gal-9 simultaneously
Janssen Pharmaceuticals TIM-3 + TIGIT Literature Anti-TIM-3 or anti-TIGIT + anti-PD-1 in adoptive T cell transfer models in NSCLC
Academic Institutions LAG-3, TIM-3, TIGIT Literature Navarrabiomed, U. Basel, U. Pittsburgh, Johns Hopkins, Yale, MD Anderson, BeiGene, Hamburg-Eppendorf + more Global

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Clinical & Translational Signals

Key Evidence Across Solid Tumors and Hematologic Malignancies

From FDA approval in melanoma to Phase I/II signals in AML/MDS and preclinical GBM data — the clinical evidence base for next-generation checkpoints spans multiple tumor types.

Tumor Type Coverage by Checkpoint Target

Evidence density across tumor types documented in retrieved patent and literature records for LAG-3, TIM-3, and TIGIT programs.

Tumor Type Coverage by Checkpoint: LAG-3 covers Melanoma (FDA approved), NSCLC, Gastric/GEJ, TNBC; TIM-3 covers AML, MDS, HNSCC, HCC; TIGIT covers GBM, TNBC (243 samples), AML, Hodgkin Lymphoma, NSCLC Tumor type evidence coverage for LAG-3, TIM-3, and TIGIT checkpoint inhibitor programs as documented in patent and literature records via PatSnap Eureka. LAG-3 has the only FDA-approved indication (melanoma); TIM-3 has the strongest hematologic malignancy rationale; TIGIT spans both solid and hematologic settings. Melanoma AML / MDS NSCLC TNBC GBM FDA ✓ Ph I/II n=243 Preclinical LAG-3 TIM-3 TIGIT

TIGIT Expression & Overall Survival — Solid Cancers

High TIGIT expression correlates with inferior overall survival (HR = 1.42, 95% CI: 1.11–1.82) in solid cancers, supporting dual TIGIT/PD-1 blockade as a therapeutic strategy.

TIGIT Expression and Overall Survival Hazard Ratio: High TIGIT expression HR=1.42 (95% CI 1.11–1.82) vs Low TIGIT expression HR=1.00 reference, in solid cancers meta-analysis Forest plot-style visualization of the overall survival hazard ratio associated with high versus low TIGIT expression in solid cancers, from a meta-analysis published by Zanjan University researchers. HR of 1.42 indicates 42% higher risk of death in high-TIGIT patients, supporting TIGIT/PD-1 dual blockade as the primary therapeutic strategy. HR = 1.0 (reference) HR = 1.42 High TIGIT expression 95% CI: 1.11 – 1.82 42% higher risk of death in high-TIGIT patients Supports TIGIT/PD-1 dual blockade as primary strategy Source: Zanjan University meta-analysis · PatSnap Eureka · eureka.patsnap.com

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Strategic Implications

What the Patent & Literature Dataset Signals for Drug Developers

BMS holds the dominant LAG-3 IP position in this dataset, with multiple active and pending patents across EP, IL, and SG jurisdictions covering LAG-3-positive tumor treatment methods and LAG-3 + PD-1 + chemotherapy combinations. Regeneron represents a significant second entrant in this specific combination IP space. Drug developers and IP strategists should anticipate freedom-to-operate constraints around combination methods involving anti-LAG-3 + anti-PD-1 antibodies, particularly for gastric/GEJ and melanoma indications. The European Patent Office EP family (active status, 2023) reflects ongoing prosecution.

TIM-3 is the most differentiated checkpoint in hematologic malignancies among the three targets. Its expression on leukemic stem cells enables mechanistically distinct therapeutic modalities — antibody-dependent phagocytosis and stem cell self-renewal modulation — beyond canonical T cell checkpoint restoration. This positions TIM-3 inhibitors (particularly sabatolimab-class agents) as uniquely suited for AML/MDS combination regimens with hypomethylating agents, rather than classical anti-PD-1 doublets. Explore life sciences IP solutions for AML program support.

TIGIT's PVR/CD155-CD226 competitive binding axis creates a targetable vulnerability across both solid tumors and AML, with ligand overexpression on tumor cells serving as a companion biomarker opportunity. The TNBC (n=243 surgically resected samples) and AML data suggest that TIGIT/PVR immunohistochemistry or transcriptomic profiling could support patient stratification strategies in future clinical programs. The FDA has not yet approved any TIGIT-targeting agent, underscoring the opportunity window for developers. Bispecific antibodies targeting PD-1/LAG-3 and PD-1/TIM-3 simultaneously represent an emerging modality with differentiated mechanistic evidence — ex vivo tumor characterization studies provide translational tools (scRNA-seq, multiplex cytokine analysis) to define responsive tumor microenvironments. Access the PatSnap API for programmatic biomarker data integration.

IP Risk Signals by Target
LAG-3 (BMS dominant) HIGH FTO RISK
TIM-3 (Novartis/EMD) MONITOR
TIGIT (fragmented) OPPORTUNITY
Key Resistance Mechanism
TIM-3 Compensatory Upregulation
PD-1 blockade upregulates TIM-3 on tumor-infiltrating lymphocytes in HNSCC — signaling a mechanistic basis for sequential or co-administered next-generation checkpoint combinations in patients progressing on existing PD-1 therapies.
Frequently asked questions

LAG-3, TIM-3 & TIGIT Checkpoint Inhibitors — Key Questions Answered

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References

  1. Immune Checkpoint LAG3 and Its Ligand FGL1 in Cancer — Tangdu Hospital, Air Force Medical University (2022)
  2. The promising immune checkpoint LAG-3 in cancer immunotherapy: from basic research to clinical application — First Affiliated Hospital, Zhengzhou University (2022)
  3. LAG-3 as a Potent Target for Novel Anticancer Therapies of a Wide Range of Tumors — Wroclaw Medical University (2022)
  4. Cutting-Edge: Preclinical and Clinical Development of the First Approved LAG-3 Inhibitor — Navarrabiomed-Fundación Miguel Servet, UPNA/HUN/IdiSNA (2022)
  5. TIM-3: a tumor-associated antigen beyond checkpoint inhibition? — University of Cape Town (2022)
  6. Identification and characterization of M6903, an antagonistic anti-TIM-3 monoclonal antibody — EMD Serono Research and Development Institute (2020)
  7. Immune Checkpoint Inhibition in Acute Myeloid Leukemia and Myelodysplastic Syndromes — Yale University (2022)
  8. TIGIT-CD226-PVR axis: advancing immune checkpoint blockade for cancer immunotherapy — Genentech Inc (2022)
  9. Hitting the complexity of the TIGIT-CD96-CD112R-CD226 axis for next-generation cancer immunotherapy — Korea Institute of Science and Technology (2021)
  10. Immune checkpoints PVR and PVRL2 are prognostic markers in AML and their blockade represents a new therapeutic option — University Medical Center Hamburg-Eppendorf (2018)
  11. Deciphering molecular and cellular ex vivo responses to bispecific antibodies PD1-TIM3 and PD1-LAG3 in human tumors — University Hospital Basel (2022)
  12. Small Molecule Inhibition of GSK-3 Specifically Inhibits the Transcription of Inhibitory Co-receptor LAG-3 for Enhanced Anti-tumor Immunity — University of Cambridge (2020)
  13. Correlation of the TIGIT-PVR immune checkpoint axis with clinicopathological features in triple-negative breast cancer — Montpellier Cancer Institute Val d'Aurelle (2022)
  14. TIGIT and PD-1 Immune Checkpoint Pathways Are Associated With Patient Outcome and Anti-Tumor Immunity in Glioblastoma — University of Pittsburgh
  15. Targeting TIGIT for Immunotherapy of Cancer: Update on Clinical Development — BeiGene USA (2021)
  16. National Center for Biotechnology Information (NCBI) — PubMed checkpoint inhibitor literature database
  17. European Patent Office (EPO) — LAG-3 and checkpoint combination patent prosecution records
  18. U.S. Food and Drug Administration (FDA) — Opdualag (nivolumab + relatlimab) approval documentation

All data and statistics on this page are sourced from the references above and from PatSnap's proprietary innovation intelligence platform. This report is derived from a limited set of patent and literature records retrieved across targeted searches and represents a snapshot of innovation signals within this dataset only.

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