Evidence map›Paper›PMID 36194782›Full record

ReviewAmerican journal of hematology2023

The immune system in multiple myeloma and precursor states: Lessons and implications for immunotherapy and interception.

Madhav V Dhodapkar

Abstract readReview
In one paragraph

Review in American journal of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Advancing CAR-T cell therapy: Insights into patient biology, leukapheresis, and cryopreservation.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Next-Generation Therapies for Multiple Myeloma.Annual review of cancer biology · 2024
    Article
  19. Review
  20. 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

1 author.

Madhav V DhodapkarDepartment of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-8249-5988

Funding

Project-004U54CA260563 · NCI · EMORY UNIVERSITY · PI DHODAPKAR, MADHAV V, SANZ, IGNACIO E. · 2020 to 2024
$10.2M
HARNESSING HOST RESPONSE TO PREVENT MYELOMAR35CA197603 · NCI · YALE UNIVERSITY · PI DHODAPKAR, MADHAV V · 2016 to 2022
$5.8M
NCI NIH HHS R35 CA197603NCI NIH HHS U54 CA260563
6 · The paper itself

Abstract

Multiple myeloma (MM) and its precursor monoclonal gammopathy of undetermined significance (MGUS) are distinct disorders that likely originate in the setting of chronic immune activation. Evolution of these lesions is impacted by cross-talk with both innate and adaptive immune systems of the host. Harnessing the immune system may, therefore, be an attractive strategy to prevent clinical malignancy. While clinical MM is characterized by both regional and systemic immune suppression and paresis, immune-based approaches, particularly redirecting T cells have shown remarkable efficacy in MM patients. Optimal application and sequencing of these new immune therapies and their integration into clinical MM management may depend on the underlying immune status, in turn impacted by host, tumor, and environmental features. Immune therapies carry the potential to achieve durable unmaintained responses and cures in MM.

Indexed as

Monoclonal Gammopathy of Undetermined SignificanceMultiple MyelomaHumansImmunotherapyT-Lymphocytes

Identifiers

PMID36194782
PMCPMC9918687

What OpenQuestion holds

Textmetadata
LicenceTDM
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.