Evidence map›Paper›PMID 34885117›Full record

ReviewCancers2021

Clinical Studies on Cytokine-Induced Killer Cells: Lessons from Lymphoma Trials.

Ying Zhang, Amit Sharma, Hans Weiher, Matthias Schmid, Glen Kristiansen, Ingo G H Schmidt-Wolf

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

6 authors at 2 institutions in 1 country.

Ying ZhangDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, 3127 Bonn, Germany.ORCID 0000-0002-8982-8407
Amit SharmaDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, 3127 Bonn, Germany.ORCID 0000-0002-2216-5389
Hans WeiherDepartment of Applied Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, 53359 Rheinbach, Germany.ORCID 0000-0001-7521-9662
Matthias SchmidInstitute for Medical Biometry, Computer Science and Epidemiology, University Hospital Bonn, 53127 Bonn, Germany.
Glen KristiansenInstitute of Pathology, University Hospital Bonn, 53127 Bonn, Germany.
Ingo G H Schmidt-WolfDepartment of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, 3127 Bonn, Germany.
University Hospital Bonn · DEHochschule Bonn-Rhein-Sieg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a complex disease where resistance to therapies and relapses often pose a serious clinical challenge. The scenario is even more complicated when the cancer type itself is heterogeneous in nature, e.g., lymphoma, a cancer of the lymphocytes which constitutes more than 70 different subtypes. Indeed, the treatment options continue to expand in lymphomas. Herein, we provide insights into lymphoma-specific clinical trials based on cytokine-induced killer (CIK) cell therapy and other pre-clinical lymphoma models where CIK cells have been used along with other synergetic tumor-targeting immune modules to improve their therapeutic potential. From a broader perspective, we will highlight that CIK cell therapy has potential, and in this rapidly evolving landscape of cancer therapies its optimization (as a personalized therapeutic approach) will be beneficial in lymphomas.

Indexed as

clinical studycytokine-induced killer cellsimmunotherapylymphoma

Identifiers

PMID34885117
PMCPMC8656601
OpenAlexW3215562754

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.