Evidence map›Paper›PMID 37117007›Full record

SynthesisJournal for immunotherapy of cancer2023

Use of cytokine-induced killer cell therapy in patients with colorectal cancer: a systematic review and meta-analysis.

Celine Man Ying Li, Yoko Tomita, Bimala Dhakal, Runhao Li, Jun Li, Paul Drew, Timothy Price, Eric Smith, Guy J Maddern, Kevin Aaron Fenix

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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

10 authors at 2 institutions in 2 countries.

Celine Man Ying Li *Discipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
Yoko Tomita *Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Bimala DhakalDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
Runhao LiBasil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.ORCID 0000-0001-5577-049X
Jun LiUrinary Surgery of Zhumadian Central Hospital, Zhumadian, Henan, China.
Paul DrewDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
Timothy PriceBasil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Eric SmithBasil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia.
Guy J MaddernDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia.
Kevin Aaron FenixDiscipline of Surgery, Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia kevin.fenix@adelaide.edu.au.ORCID 0000-0003-1619-1406
Basil Hetzel Institute · AUZhumadian Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of clinical studies evaluating the benefit of cytokine-induced killer cell (CIK) therapy, an adoptive immunotherapy, for colorectal cancer (CRC) is increasing. In many of these trials, CIK therapy was coadministered with conventional cancer therapy. The aim of this review is to systematically assess the available literature, in which the majority were only in Chinese, on CIK therapy for the management of CRC using meta-analysis and to identify parameters associated with successful CIK therapy implementation.

methodsProspective and retrospective clinical studies which compared CIK therapy to non-CIK therapy in patients with CRC were searched for electronically on MEDLINE, Embase, China National Knowledge Infrastructure, and Wanfang Data databases. The clinical endpoints of overall survival (OS), progression-free survival (PFS), OS and PFS rates, overall response rate (ORR), and toxicity were meta-analyzed using HR and relative ratio (RR), and subgroup analyses were performed using chi-square (χ

resultsIn total, 70 studies involving 6743 patients were analyzed. CIK therapy was favored over non-CIK therapy for OS (HR=0.59, 95% CI: 0.53 to 0.65), PFS (HR=0.55, 95% CI: 0.47 to 0.63), and ORR (RR=0.65, 95% CI: 0.57 to 0.74) without increasing toxicity (HR=0.59, 95% CI: 0.16 to 2.25). Subgroup analyses on OS and PFS by study design (randomized vs non-randomized study design), disease stage (Stage I-III vs Stage IV), cotreatment with dendritic cells (DCs) (CIK vs DC-CIK therapy), or timing of therapy administration (concurrent vs sequential with coadministered anticancer therapy) also showed that the clinical benefit of CIK therapy was robust in any subgroup analysis. Furthermore, cotreatment with DCs did not improve clinical outcomes over CIK therapy alone.

conclusionCompared with standard therapy, patients who received additional CIK cell therapy had favorable outcomes without increased toxicity, warranting further investigation into CIK therapy for the treatment of CRC.

Indexed as

Colorectal NeoplasmsCytokine-Induced Killer CellsClinical Trials as TopicHumansImmunotherapy, AdoptiveProspective StudiesRetrospective Studiesgastrointestinal neoplasmsimmunotherapy, adoptivereview

Identifiers

PMID37117007
PMCPMC10152003
OpenAlexW4367309411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.