Cited by 218RNA Interference and Gene DeliveryNanoparticle-Based Drug DeliveryMonoclonal and Polyclonal Antibodies Research

mRNA Delivery for Therapeutic Anti-HER2 Antibody Expression In Vivo

Open access
Rybakova, Yulia, Kowalski, Piotr S., Huang, Yuxuan, Gonzalez, John T., Heartlein, Michael W., DeRosa, Frank, Delcassian, Derfogail, Anderson, Daniel G.·2019·Molecular Therapy

Abstract

Antibody-based drugs are a leading class of biologics used to treat a variety of diseases, including cancer. However, wide antibody implementation is hindered by manufacturing challenges and high production cost. Use of in-vitro-transcribed mRNA (IVT-mRNA) for endogenous protein expression has the potential to circumvent many of the shortcomings of antibody production and therapeutic application. Here, we describe the development of an IVT-mRNA system for in vivo delivery of a humanized anti-HER2 (also known as ERBB2) antibody, trastuzumab, and demonstrate its anticancer activity. We engineered the IVT-mRNA sequence to maximize expression, then formulated the IVT-mRNA into lipid-based nanoparticles (LNPs) to protect the mRNA from degradation and enable efficient in vivo delivery. Systemic delivery of the optimized IVT-mRNA loaded into LNPs resulted in antibody serum concentrations of 45 ± 8.6 μg/mL for 14 days after LNP injection. Further studies demonstrated an improved pharmacokinetic profile of the produced protein compared to injection of trastuzumab protein. Finally, treatment of tumor-bearing mice with trastuzumab IVT-mRNA LNPs selectively reduced the volume of HER2-positive tumors and improved animal survival. Taken together, the results of our study demonstrate that using IVT-mRNA LNPs to express full-size therapeutic antibodies in the liver can provide an effective strategy for cancer treatment and offers an alternative to protein administration.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.ymthe.2019.05.012

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Lipid nanoparticle-mRNA formulations have been investigated for ex vivo engineering of CAR T cells and for the production of antibodies, such as anti-CD20, anti-human epidermal growth factor receptor 2 and anti-CD3/claudin 6.

    “Lipid nanoparticle–mRNA formulations have also been investigated for ex vivo engineering of CAR T cells217 and for the production of antibodies, such as anti-CD20 (ref.146), anti-human epidermal growth factor receptor 2 (HER2)95 and anti-CD3/claudin 6 (ref.147).”

    From Lipid nanoparticles for mRNA delivery (2021) · cites this paper as [95]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 61 · Cited by 218

Research works printed but not linked: 2

  1. [36]36. [Valleriani, A., Zhang, G., Nagar, A., Ignatova, Z., and Lipowsky, R. (2011). Lengthdependent translation of messenger RNA by ribosomes. Phys. Rev. E Stat. Nonlin. Soft Matter Phys. 83 , 042903.](http://refhub.elsevier.com/S1525-0016(19)30226-6/sref36)
  2. [52]52. [Stadler, C.R., Bähr-Mahmud, H., Celik, L., Hebich, B., Roth, A.S., Roth, R.P., Karikó, K., Türeci, Ö., and Sahin, U. (2017). Elimination of large tumors in mice by mRNAencoded bispeci fi c antibodies. Nat. Med. 23 , 815 -817.](http://refhub.elsevier.com/S1525-0016(19)30226-6/sref52)

Authors
Rybakova, Y., Kowalski, P. S., Huang, Y., Gonzalez, J. T., Heartlein, M. W., DeRosa, F., Delcassian, D., & Anderson, D. G.
Affiliations
  • Koch Institute for Integrative Cancer Research At MIT (US)
  • Translate Bio (United States) (US)
  • Harvard University (US)
Corresponding author
Anderson, Daniel G.
Venue
Molecular Therapy
Publisher
Elsevier BV
Published
2019-08
Volume
27
Issue
8
Pages
1415-1423
ISSN
1525-0016 (ISSN-L)
OpenAlex
W2945697388
Cited by
218
References
61
Citations by year
2026: 26 · 2025: 38 · 2024: 43 · 2023: 43 · 2022: 39 · 2021: 17 · 2020: 11 · 2019: 1
FWCI
5.59
Type
journal article
Language
en
Open access
Locations
  • Molecular Therapy (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Juvenile Diabetes Research Foundation International (3-PDF-2017-383-A-N)
  • Center for Outcomes Research and Evaluation, Yale School of Medicine (P30-CA14051)
  • Defense Advanced Research Projects Agency (W32P4Q-13-1-001)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
Keywords
mRNA delivery, in vitro transcribed mRNA, trastuzumab, anti-HER2 antibody, HER2-positive breast cancer, lipid nanoparticles, pharmacokinetics, anticancer activity
MeSH terms
Trastuzumab, Animals, Antibodies, Monoclonal, Breast Neoplasms, Disease Models, Animal, Humans, Lipids, RNA, Messenger, Genetic Therapy, Gene Expression, Drug Delivery Systems, Gene Transfer Techniques, Erb-b2 Receptor Tyrosine Kinases, Xenograft Model Antitumor Assays, Mice, Nanoparticles, Molecular Targeted Therapy

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review