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October 16, 2025

Boehringer Ingelheim and AimedBio Collaborate to Advance Novel ADC Therapy for Broad Range of Cancers

Abstract

Breakthrough Clinical Results

Boehringer Ingelheim and AimedBio have entered into a global collaboration and licensing agreement to develop a novel antibody-drug conjugate (ADC) therapy for a broad range of cancers. This agreement strengthens Boehringer's ADC portfolio, driven by its subsidiary, NBE Therapeutics. The ADC, developed by AimedBio, targets a tumor-selective marker present in a broad spectrum of cancers with high medical need and is expected to enter first-in-human studies next year. AimedBio is entitled to receive up to $991 million in total, including an upfront payment, development and regulatory milestones, and commercial milestones, as well as separate royalty payments on net sales.

Key Highlights

  • Boehringer Ingelheim and AimedBio collaborate to develop a novel ADC therapy.
  • The ADC targets a tumor-selective marker present in a broad spectrum of cancers.
  • The agreement includes up to $991 million in payments to AimedBio.
  • The new ADC is expected to enter first-in-human studies next year.

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Key Unmet Needs and Targeted Populations in Cancer Treatment

Major Treatment Challenges

Metastatic disease remains the main cause of cancer mortality, requiring therapies focused on prevention of metastatic disease by targeting the conditions in primary tumors, first steps of the metastatic cascade, and underlying causes such as hypoxia and tumor microenvironment changes.

Immunotherapy limitations persist due to individual differences between patients, lack of specific biomarkers, potential for damage in healthy tissues, and the need for customization across different cancer types.

The tumor microenvironment presents opportunities through targeting the acidic microenvironment of solid tumors using approaches like pH (Low) Insertion Peptide (pHLIP) and biomimetic nanodelivery systems.

Multimodal approaches combining radiotherapy and immunomodulating agents with techniques like hyperthermia are increasingly important for enhancing anti-tumor immune responses.

Underserved Populations

Women are underrepresented in clinical trials leading to FDA cancer drug approvals (39.7% female participants vs. expected 44.6% based on incidence).

Elderly patients with Primary central nervous system lymphoma (PCNSL) face limited treatment options, with most excluded from pivotal CAR-T cell trials due to neurotoxicity concerns.

Rare cancer survivors have received insufficient research attention, with approximately 85% of rare cancer survivorship grants investigating only four cancer types: leukemia, head & neck, ovarian and brain cancers.

Cancer Types with Significant Unmet Needs

Oligometastatic disease (OMD) requires reassessment of treatment approaches in the context of modern systemic therapies.

Advanced breast cancer with hormone receptor positive and HER-2 negative status faces challenges with resistance to endocrine therapy.

Glioblastoma (GBM) patients await clinical confirmation of MDM2 inhibitors' efficacy, both alone and in combination therapies.

Actinic keratosis (AK) treatment remains laborious and costly, with nearly 30% of therapy-refractory cases developing into cutaneous squamous cell carcinoma.

Upper tract urothelial carcinoma (UTUC) presents as a rare yet aggressive malignancy with high relapse rates and poor prognosis.

Papillary thyroid carcinoma (PTC) patients with recurrence, metastasis and radioiodine resistance lack ideal treatment options.

Non-small-cell lung cancer (NSCLC) patients show limited long-term benefit from immune checkpoint inhibitors, with only a small percentage responding favorably.

Extensive-stage small cell lung cancer (ES-SCLC) patients face uncertainty regarding the benefit of consolidative thoracic radiotherapy after first-line chemoimmunotherapy.

Study Design Parameters

Study Design Parameters and Endpoints in Key Cancer Trials

Study Designs

Recent cancer trials have employed diverse study designs including retrospective analyses, prospective trials, and randomized clinical trials to evaluate treatment efficacy. These designs vary based on research objectives and cancer types:

  • The OCOG-ALMERA trial (NCT02115464, 2024) was a phase II randomized clinical trial investigating metformin with concurrent chemoradiotherapy in locally advanced non-small cell lung cancer

  • A 2024 multi-center study evaluated albumin-bound paclitaxel as first-line treatment for advanced pancreatic cancer in China

  • A 2024 retrospective analysis based on the Surveillance, Epidemiology, and End Results (SEER) database (2000-2020) examined musculoskeletal malignancy patients who received both surgery and radiation therapy

  • A 2024 systematic review and meta-analysis assessed supratentorial function-eloquent brain tumour surgeries and the efficacy of preoperative and intraoperative mapping techniques

Primary and Secondary Endpoints

Cancer trials utilize various endpoints to measure treatment efficacy:

  • Overall survival (OS) serves as a primary endpoint in many studies, including the 2024 multi-center study of advanced pancreatic cancer

  • Progression-free survival (PFS) is commonly used as a secondary endpoint, as seen in the pancreatic cancer study

  • The OCOG-ALMERA trial collected tumor volume parameters, survival outcomes, and patient blood plasma at multiple timepoints

  • A 2023 study of esophageal squamous cell carcinoma patients assessed multiple endpoints including overall survival, progression-free survival, distant metastasis-free survival, and locoregional recurrence-free survival

  • A 2022 study of T1 ER+/HER2-/LN- breast cancer patients examined disease-free survival and distant metastasis as endpoints

  • The 2024 systematic review of brain tumor surgeries assessed rates of gross total resection and focal neurological deficits

Statistical Methods

Statistical methods commonly employed across cancer trials include:

  • Multivariate analysis and univariate analysis to identify significant variables
  • Kaplan-Meier method for survival analysis
  • Log-rank test to compare survival distributions
  • Cox regression analysis to evaluate survival outcomes and identify prognostic factors
  • Non-negative matrix factorization (NMF) algorithm for establishing risk signatures, as seen in a 2025 osteosarcoma study

Safety Assessment

  • Adverse effects are typically graded using standardized criteria such as the Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0), as demonstrated in the 2024 pancreatic cancer study

Biomarker Analysis

Several trials incorporate biomarker analysis:

  • The OCOG-ALMERA trial collected patient blood plasma at multiple timepoints
  • A 2023 study assessed tumor-infiltrating lymphocytes as a prognostic biomarker in esophageal cancer
  • A 2022 breast cancer study examined the association between Oncotype DX recurrence score and outcomes
  • A 2025 osteosarcoma study established a glycolysis-related gene risk signature using advanced algorithms

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