Evidence map›Paper›PMID 35488303›Full record

ReviewCancer cell international2022

Biological causes of immunogenic cancer cell death (ICD) and anti-tumor therapy; Combination of Oncolytic virus-based immunotherapy and CAR T-cell therapy for ICD induction.

Amirhossein Mardi, Anastasia V Shirokova, Rebar N Mohammed, Ali Keshavarz, Angelina O Zekiy, Lakshmi Thangavelu, Talar Ahmad Merza Mohamad, Faroogh Marofi, Navid Shomali, Amir Zamani and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
14.8field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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  6. Fully intravenous split-dose administration of the oncolytic adenovirus TILT-123 in advanced solid tumors.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  7. Review
  8. Article
  9. Redox processes in the treatment of advanced skin cancers.Clinical & experimental metastasis · 2026
    Review
  10. Review
  11. Article
  12. Review
  13. Oncolytic viruses: advanced strategies in cancer therapy.Signal transduction and targeted therapy · 2026
    Review
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  16. Review
  17. Review
  18. Review
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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

11 authors at 7 institutions in 4 countries.

Amirhossein MardiDepartment of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Anastasia V ShirokovaDepartment of Prosthetic Dentistry, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Rebar N MohammedMedical Laboratory Analysis Department, College of Health Science, Cihan University of Sulaimaniya, Suleimanyah, Kurdistan region, Iraq.
Ali KeshavarzDepartment of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Angelina O ZekiyDepartment of Prosthetic Dentistry, I. M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Lakshmi ThangaveluDepartment of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Science, Saveetha University, Chennai, India.
Talar Ahmad Merza MohamadDepartment of Pharmacology and Toxicology, Clinical Pharmacy, Hawler Medical University, College of Pharmacy, Kurdistan Region-Erbil, Iraq.
Faroogh MarofiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Navid ShomaliImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Amir ZamaniShiraz Transplant Center, Abu Ali Sina Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Morteza AkbariImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. akbarimo@tbzmed.ac.ir.
Tabriz University of Medical Sciences · IRSechenov University · RUShahid Beheshti University of Medical Sciences · IRCihan University SulaimaniyaHawler Medical University · IQSaveetha University · INShiraz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR) T-cell therapy is a promising and rapidly expanding therapeutic option for a wide range of human malignancies. Despite the ongoing progress of CAR T-cell therapy in hematologic malignancies, the application of this therapeutic strategy in solid tumors has encountered several challenges due to antigen heterogeneity, suboptimal CAR T-cell trafficking, and the immunosuppressive features of the tumor microenvironment (TME). Oncolytic virotherapy is a novel cancer therapy that employs competent or genetically modified oncolytic viruses (OVs) to preferentially proliferate in tumor cells. OVs in combination with CAR T-cells are promising candidates for overcoming the current drawbacks of CAR T-cell application in tumors through triggering immunogenic cell death (ICD) in cancer cells. ICD is a type of cellular death in which danger-associated molecular patterns (DAMPs) and tumor-specific antigens are released, leading to the stimulation of potent anti-cancer immunity. In the present review, we discuss the biological causes of ICD, different types of ICD, and the synergistic combination of OVs and CAR T-cells to reach potent tumor-specific immunity.

Indexed as

Chimeric antigen receptor (CAR) T-cell therapyImmunogenic cancer cell death (ICD)ImmunotherapyOncolytic virus (OV)

Identifiers

PMID35488303
PMCPMC9052538
OpenAlexW4225102707

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.