Evidence map›Paper›PMID 38884110›Full record

ReviewClinical hematology international2024

Single-cell genomics-based immune and disease monitoring in blood malignancies.

Anja C Rathgeber, Leif S Ludwig, Livius Penter

Abstract readReview
In one paragraph

Review in Clinical hematology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Anja C RathgeberBerlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine.ORCID https://orcid.org/0000-0003-3264-1040
Leif S LudwigBerlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine.ORCID https://orcid.org/0000-0002-2916-2164
Livius PenterDepartment of Hematology, Oncology, and Tumorimmunology Charité - Universitätsmedizin Berlin.ORCID https://orcid.org/0000-0002-9060-0207

Funding

Single-cell Mapping Center for Human Regulatory Elements and Gene ActivityUM1HG012076 · NHGRI · STANFORD UNIVERSITY · PI Michael Ryan Corces, Ansuman Satpathy · 2021 to 2026
$13.8M
NHGRI NIH HHS UM1 HG012076
6 · The paper itself

Abstract

Achieving long-term disease control using therapeutic immunomodulation is a long-standing concept with a strong tradition in blood malignancies. Besides allogeneic hematopoietic stem cell transplantation that continues to provide potentially curative treatment for otherwise challenging diagnoses, recent years have seen impressive progress in immunotherapies for leukemias and lymphomas with immune checkpoint blockade, bispecific monoclonal antibodies, and CAR T cell therapies. Despite their success, non-response, relapse, and immune toxicities remain frequent, thus prioritizing the elucidation of the underlying mechanisms and identifying predictive biomarkers. The increasing availability of single-cell genomic tools now provides a system's immunology view to resolve the molecular and cellular mechanisms of immunotherapies at unprecedented resolution. Here, we review recent studies that leverage these technological advancements for tracking immune responses, the emergence of immune resistance, and toxicities. As single-cell immune monitoring tools evolve and become more accessible, we expect their wide adoption for routine clinical applications to catalyze more precise therapeutic steering of personal immune responses.

Indexed as

allogeneic hematopoietic stem cell transplantationCAR T cell therapyimmune checkpoint blockadeimmune monitoringnatural barcodessingle cell sequencing

Identifiers

PMID38884110
PMCPMC11180218

What OpenQuestion holds

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Registered trials

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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.