Evidence map›Paper›PMID 36623200›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Mechanistic model for booster doses effectiveness in healthy, cancer, and immunosuppressed patients infected with SARS-CoV-2.

Chrysovalantis Voutouri, C Corey Hardin, Vivek Naranbhai, Mohammad R Nikmaneshi, Melin J Khandekar, Justin F Gainor, Triantafyllos Stylianopoulos, Lance L Munn, Rakesh K Jain

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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 5 institutions in 4 countries.

Chrysovalantis VoutouriEdwin L Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.
C Corey HardinDepartment of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.
Vivek NaranbhaiMassachusetts General Hospital Cancer Center, Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114.ORCID 0000-0003-4281-8882
Mohammad R NikmaneshiEdwin L Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.
Melin J KhandekarDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.
Justin F GainorMassachusetts General Hospital Cancer Center, Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA, 02114.
Triantafyllos StylianopoulosCancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus, 2238.
Lance L MunnEdwin L Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.
Rakesh K JainEdwin L Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114.ORCID 0000-0001-7571-3548
Harvard University · USCentre for the AIDS Programme of Research in South Africa · ZAMassachusetts General Hospital · USSharif University of Technology · IRUniversity of Cyprus · CY

Funding

Dissecting Pediatric Brain Tumor Microenvironment to Improve TreatmentR35CA197743 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, RAKESH K. · 2015 to 2020
$5.7M
Targeting physical stress-driven mechanisms to overcome glioblastoma treatment resistanceU01CA261842 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, RAKESH K., MUNN, LANCE L. · 2021 to 2025
$3.1M
Reprogramming PDAC tumor microenvironment to improve immunotherapyU01CA224348 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BOUCHER, YVES, JAIN, RAKESH K. · 2017 to 2021
$2.9M
Improving treatment of HER2+ breast cancer brain metastasis by targeting lipid metabolismR01CA259253 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, RAKESH K., VANDER HEIDEN, MATTHEW G. · 2021 to 2025
$2.3M
Reengineering obesity-induced abnormal microenvironment to improve PDAC treatmentR01CA208205 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI FUKUMURA, DAI, JAIN, RAKESH K. · 2017 to 2020
$2.2M
Reprogramming the Tumor Microenvironment to Improve Immunotherapy of Glioblastoma by Co-Targeting VEGF and Ang2R01NS118929 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI FUKUMURA, DAI · 2021 to 2025
$2.0M
Reprogramming the tumormicroenvironment to improve immunotherapy of glioblastomaR01CA269672 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Rakesh K. Jain · 2022 to 2026
$1.9M
NCI NIH HHS R01 CA208205NCI NIH HHS R01 CA259253NCI NIH HHS R01 CA269672NCI NIH HHS R35 CA197743NCI NIH HHS U01 CA224348NCI NIH HHS U01 CA261842NINDS NIH HHS R01 NS118929
6 · The paper itself

Abstract

SARS-CoV-2 vaccines are effective at limiting disease severity, but effectiveness is lower among patients with cancer or immunosuppression. Effectiveness wanes with time and varies by vaccine type. Moreover, previously prescribed vaccines were based on the ancestral SARS-CoV-2 spike-protein that emerging variants may evade. Here, we describe a mechanistic mathematical model for vaccination-induced immunity. We validate it with available clinical data and use it to simulate the effectiveness of vaccines against viral variants with lower antigenicity, increased virulence, or enhanced cell binding for various vaccine platforms. The analysis includes the omicron variant as well as hypothetical future variants with even greater immune evasion of vaccine-induced antibodies and addresses the potential benefits of the new bivalent vaccines. We further account for concurrent cancer or underlying immunosuppression. The model confirms enhanced immunogenicity following booster vaccination in immunosuppressed patients but predicts ongoing booster requirements for these individuals to maintain protection. We further studied the impact of variants on immunosuppressed individuals as a function of the interval between multiple booster doses. Our model suggests possible strategies for future vaccinations and suggests tailored strategies for high-risk groups.

Indexed as

COVID-19NeoplasmsAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesHumansSARS-CoV-2Antibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesAd26.COV2.SBNT162b2booster dosemRNA1273SARS-CoV-2

Identifiers

PMID36623200
PMCPMC9934028
OpenAlexW4313893019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.