Evidence map›Paper›PMID 34679012›Full record

ReviewToxins2021

Immunotoxins Immunotherapy against Hepatocellular Carcinoma: A Promising Prospect.

Mohammad Heiat, Hamid Hashemi Yeganeh, Seyed Moayed Alavian, Ehsan Rezaie

Open access · goldAbstract readReview
In one paragraph

Review in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 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

4 authors at 2 institutions in 1 country.

Mohammad HeiatBaqiyatallah Research Center for Gastroenterology and Liver Disease, Baqiyatallah University of Medical Science, Tehran 1435916471, Iran.ORCID 0000-0001-9982-2773
Hamid Hashemi YeganehDepartment of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran 14115111, Iran.
Seyed Moayed AlavianBaqiyatallah Research Center for Gastroenterology and Liver Disease, Baqiyatallah University of Medical Science, Tehran 1435916471, Iran.
Ehsan RezaieMolecular Biology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Science, Tehran 1435916471, Iran.ORCID 0000-0002-4420-0173
Baqiyatallah University of Medical Sciences · IRTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common cancers in the world. Therefore, fighting against such cancer is reasonable. Chemotherapy drugs are sometimes inefficient and often accompanied by undesirable side effects for patients. On the other hand, the emergence of chemoresistant HCC emphasizes the need for a new high-efficiency treatment strategy. Immunotoxins are armed and rigorous targeting agents that can purposefully kill cancer cells. Unlike traditional chemotherapeutics, immunotoxins because of targeted toxicity, insignificant cross-resistance, easy production, and other favorable properties can be ideal candidates against HCC. In this review, the characteristics of proper HCC-specific biomarkers for immunotoxin targeting were dissected. After that, the first to last immunotoxins developed for the treatment of liver cancer were discussed. So, by reviewing the strengths and weaknesses of these immunotoxins, we attempted to provide keynotes for designing an optimal immunotoxin against HCC.

Indexed as

AnimalsCarcinoma, HepatocellularHumansImmunotherapyImmunotoxinsLiver NeoplasmsImmunotoxinsdrug targetinghepatocellular carcinomaimmunotoxinliver cancertargeted therapy

Identifiers

PMID34679012
PMCPMC8538445
OpenAlexW3207885519

What Socratic 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 Socratic graph.