Evidence map›Paper›PMID 39177747›Full record

ReviewHandbook of experimental pharmacology2024

The Alliance Between the German Cancer Research Center and Bayer: A Retrospective of an Innovative Collaboration Model.

A Zuccotti, R Carretero, H Hess-Stumpp

Abstract readReview
PubMed Publisher
In one paragraph

Review in Handbook of experimental pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

A ZuccottiGerman Cancer Research Center (DKFZ), Innovation Management, Heidelberg, Germany.
R CarreteroBayer AG, Immune-Oncology DKFZ Joint Lab, Heidelberg, Germany.
H Hess-StumppGerman Cancer Research Center (DKFZ), Innovation Management, Heidelberg, Germany. holger.hess-stumpp@dkfz-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2009, the German Cancer Research Center (DKFZ) and the biopharmaceutical company Bayer AG initiated an academic-industry co-discovery collaboration. The partners combined their expertise in tumor biology and drug discovery to identify and validate novel targets for cancer treatment. In the early phase of the Alliance, the focus was on target identification and validation projects. Over time, both partners realized that they could also successfully collaborate on later stages of drug discovery. As a result over the past few years, and following several contract extensions, the two partners have collaborated on several late-stage drug discovery projects. This has resulted in the achievement of several drug discovery milestones and the initiation of early clinical trials, the most recent in 2022. This success has been possible thanks to both partners' understanding of each other's needs and challenges. They jointly developed solutions to issues such as the intrinsic potential conflict of early publishing versus patent protection. Both partners also appreciated the risks involved in some of the experiments, such as starting a joint laboratory for immune-therapy with scientists from both parties working bench-to-bench. Recently, despite these successes the partners decided to terminate the Alliance, as Bayer AG wants to focus its activities on the development of its late pipeline.

Indexed as

Drug DiscoveryDrug IndustryNeoplasmsAntineoplastic AgentsBiomedical ResearchCooperative BehaviorGermanyHumansAntineoplastic AgentsAcademic-industry co-discovery collaborationBilateral R&D partnershipCancerComplementary expertiseDrug discoveryPublic–private partnershipTumor biology

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.