Evidence map›Paper›PMID 30197788›Full record

ArticleCancer biology & medicine2018

New developments in immunotherapy for lymphoma.

Benjamin Heyman, Yiping Yang

Abstract read
In one paragraph

Article in Cancer biology & medicine, 2018. 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
–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

18 citing papers in PubMed.

  1. Ro 08-2750 increases radiation-induced cytotoxicity in DLBCL by dysregulating the DNA damage response.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    Article
  2. Review
  3. Review
  4. An Indigenous Workflow for Generating CD19 CAR-T Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Review
  7. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?International journal of biological sciences · 2022
    Review
  8. Review
  9. Article
  10. Biology and Molecular Pathogenesis of Mature T-Cell Lymphomas.Cold Spring Harbor perspectives in medicine · 2021
    Review
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
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

2 authors.

Benjamin HeymanDivision of Hematologic Malignancies and Cellular Therapy, Department of Medicine.
Yiping YangDivision of Hematologic Malignancies and Cellular Therapy, Department of Medicine.

Funding

Novel Strategies for Cancer Immunotherapy in Stem Cell TransplantR01CA136934 · NCI · OHIO STATE UNIVERSITY · PI YANG, YIPING · 2009 to 2018
$3.4M
T Memory Stem Cells in CancerR01CA193167 · NCI · OHIO STATE UNIVERSITY · PI YANG, YIPING · 2016 to 2020
$2.2M
NCI NIH HHS R01 CA136934NCI NIH HHS R01 CA193167
6 · The paper itself

Abstract

The development of immunotherapies for lymphoma has undergone a revolutionary evolution over the past decades. Since the advent of rituximab as the first successful immunotherapy for B-cell non-Hodgkin lymphoma over two decades ago, a plethora of new immunotherapeutic approaches to treat lymphoma has ensued. Four of the most exciting classes of immunotherapies include: chimeric antigen receptor T-cells, bispecific antibodies, immune checkpoint inhibitors, and vaccines. However, with addition of these novel therapies the appropriate timing of treatment, optimal patient population, duration of therapy, toxicity, and cost must be considered. In this review, we describe the most-promising immunotherapeutic approaches for the treatment of lymphoma in clinical development, specifically focusing on clinical trials performed to date and strategies for improvement.

Indexed as

bispecific antibodiesCAR-T cellsimmune checkpoint blockade

Identifiers

PMID30197788
PMCPMC6121050

What OpenQuestion holds

Textmetadata
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.