Evidence map›Paper›PMID 36811226›Full record

ArticlePlant biotechnology journal2023

Killer to cure: Expression and production costs calculation of tobacco plant-made cancer-immune checkpoint inhibitors.

Laura A Ridgley, Nicole Falci Finardi, Benjamin B Gengenbach, Patrick Opdensteinen, Zack Croxford, Julian K-C Ma, Mark Bodman-Smith, Johannes F Buyel, Audrey Y-H Teh

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
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  12. Improving theFrontiers in plant science · 2024
    Article
  13. An oligosaccharyltransferase fromFrontiers in plant science · 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

9 authors at 2 institutions in 3 countries.

Laura A RidgleyInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0001-5264-034X
Nicole Falci FinardiInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0003-2204-7582
Benjamin B GengenbachFraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.ORCID 0000-0002-3998-4401
Patrick OpdensteinenFraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.ORCID 0000-0002-4068-0843
Zack CroxfordInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0003-0928-6036
Julian K-C MaInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0003-0767-0042
Mark Bodman-SmithInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0002-5710-6119
Johannes F BuyelFraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen, Germany.ORCID 0000-0003-2361-143X
Audrey Y-H TehInstitute for Infection and Immunity, St. George's, University of London, London, UK.ORCID 0000-0003-1827-4328
St George's, University of London · GBFraunhofer Institute for Molecular Biology and Applied Ecology · DE

Funding

Cancer Research UK
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have achieved huge clinical success. However, many still have limited response rates, and are prohibitively costly. There is a need for effective and affordable ICIs, as well as local manufacturing capacity to improve accessibility, especially to low-to-middle income countries (LMICs). Here, we have successfully expressed three key ICIs (anti-PD-1 Nivolumab, anti-NKG2A Monalizumab, and anti-LAG-3 Relatimab) transiently in Nicotiana benthamiana and Nicotiana tabacum plants. The ICIs were expressed with a combination of different Fc regions and glycosylation profiles. They were characterized in terms of protein accumulation levels, target cell binding, binding to human neonatal Fc receptors (hFcRn), human complement component C1q (hC1q) and various Fcγ receptors, as well as protein recovery during purification at 100 mg- and kg-scale. It was found that all ICIs bound to the expected target cells. Furthermore, the recovery during purification, as well as Fcγ receptor binding, can be altered depending on the Fc region used and the glycosylation profiles. This opens the possibility of using these two parameters to fine-tune the ICIs for desired effector functions. A scenario-based production cost model was also generated based on two production scenarios in hypothetical high- and low-income countries. We have shown that the product accumulation and recovery of plant production platforms were as competitive as mammalian cell-based platforms. This highlights the potential of plants to deliver ICIs that are more affordable and accessible to a widespread market, including LMICs.

Indexed as

NeoplasmsNicotianaAnimalsHumansImmune Checkpoint InhibitorsMammalsReceptors, IgGImmune Checkpoint InhibitorsReceptors, IgGCancerImmune checkpoint inhibitorsNK cellPlant expression vectorproduction cost modelT-cell

Identifiers

PMID36811226
PMCPMC10214761
OpenAlexW4321499445

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.