Evidence map›Paper›PMID 34073680›Full record

ArticleJournal of personalized medicine2021

Dynamic Collaborations for the Development of Immune Checkpoint Blockade Agents.

Arisa Djurian, Tomohiro Makino, Yeongjoo Lim, Shintaro Sengoku, Kota Kodama

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Personalized and Precision Medicine 2022.Journal of personalized medicine · 2023
    Article
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

5 authors at 2 institutions in 1 country.

Arisa DjurianGraduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0002-0182-0946
Tomohiro MakinoGraduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.
Yeongjoo LimFaculty of Business Administration, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0003-2740-5537
Shintaro SengokuSchool of Environment and Society, Tokyo Institute of Technology, Tokyo 108-0023, Japan.
Kota KodamaGraduate School of Technology Management, Ritsumeikan University, Osaka 567-8570, Japan.ORCID 0000-0002-2360-2034
Ritsumeikan University · JPTokyo Institute of Technology · JP

Funding

Fondation France-Japon (FFJ) de Ecole des Hautes Etudes en Sciences Sociales (EHESS) Chaire FFJ/Air Liquide 2020Grants-in-Aid for Challenging Exploratory Research 20K20769, 26301022, 23730336
6 · The paper itself

Abstract

We studied the overview of drug discovery and development to understand the recent trends and potential success factors of interorganizational collaboration by reviewing 1204 transactions performed until 2019 for 107 anticancer drugs approved by the US Food and Drug Administration (FDA) from 1999 to 2018. Immune checkpoint blockade was found to be a significantly active area in interorganizational transactions, especially the number of alliances, compared with other mechanisms of action of small molecules and biologics for cancer treatment. Furthermore, the analysis of pembrolizumab and nivolumab showed that the number of approved indications for these two drugs has been rapidly expanding since their first approval in 2014. Examination of the acquisitions and alliances regarding pembrolizumab and nivolumab showed that many combination partners were developed by US-based biotechnology or start-up companies, the majority of which were biologics. These findings suggest that immune checkpoint blockade is a paradigm for cancer treatment, resulting in huge product sales and continuous indication expansion. Additionally, interorganizational collaboration, especially trial collaboration, is a strategic approach for the development of immune checkpoint blockade agents. The translation of these empirical practices to new drug candidates is expected for the research and development of innovative drugs in the future.

Indexed as

cancer treatmentcombination therapyimmune checkpoint blockadeinterorganizational transactionPD-(L)1 inhibitors

Identifiers

PMID34073680
PMCPMC8225058
OpenAlexW3164385462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.