Evidence map›Paper›PMID 39733439›Full record

ReviewAsian Pacific journal of cancer prevention : APJCP2024

Deciphering Antigen Processing Machinery (APM) as One of the Determinants for Responsiveness of Affected Patients towards Anticancer Immunotherapy.

Ika Nurlaila

Abstract readReview
In one paragraph

Review in Asian Pacific journal of cancer prevention : APJCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Ika NurlailaResearch Center for Vaccine and Drugs, The National Research and Innovation Agency (BRIN), South Tangerang 15310, Republic of Indonesia.ORCID 0000-0002-4114-6837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy is one of the rising stars in the field of anticancer regiments. Aimed at reinvigorating immune cytotoxicity, this platform is capable of bulking up memory subsets by which protection against tumors is served. The most commonly applied immunotherapy is immune checkpoint inhibitor (ICIs) which received FDA approval for non-small lung cancer (NSLC) in 2014. The response toward ICI is closely related to the antigen processing machinery (APM) within which antigens are processed prior to loading onto the human leukocyte antigen (HLA) to induce cascade mechanisms for immune clearance. APM allows immune cell infiltration thus strengthens immunogenicity. Impaired components of the APM are frequently found in tumors because tumor progression requires tumor cells to acquire immune recognition evasion. Alterations in tumors' APM result in downregulation of HLA molecules and transformation of antigenic peptide repertoire presented to the T lymphocytes. Interactions of processed antigens (peptide)-HLA complex are critical for successful T cell priming and differentiation into cytotoxic effector cells. The interaction underlies not only ICI-related mechanism but also anticancer immunity in general where T cell subset can induce antitumor recognition only if a proper peptide-HLA complex is present. This feature, unfortunately, is missing in tumors. This Review highlights presentation of tumor-specific antigens to T cells in HLA-restricted manner which leads to their eradication. This is a pivotal point but in most cases is overlooked which might add some volume to the off-target and less functional of anticancer immunotherapy.

Indexed as

Antigen PresentationImmunotherapyNeoplasmsAntigens, NeoplasmHLA AntigensHumansImmune Checkpoint InhibitorsAntigens, NeoplasmHLA AntigensImmune Checkpoint Inhibitorsantigenhuman leukocyte antigen (HLA) cytotoxicityimmunogenicityResistance

Identifiers

PMID39733439
PMCPMC12008335

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Registered trials

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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.