Evidence map›Paper›PMID 34502043›Full record

ReviewInternational journal of molecular sciences2021

Immunoprofiling: An Encouraging Method for Predictive Factors Examination in Lung Cancer Patients Treated with Immunotherapy.

Kamila Wojas-Krawczyk, Iwona Paśnik, Tomasz Kucharczyk, Irena Wieleba, Natalia Krzyżanowska, Michał Gil, Paweł Krawczyk, Janusz Milanowski

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Why Is Wnt/β-Catenin Not Yet Targeted in Routine Cancer Care?Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Review
  5. 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

8 authors at 2 institutions in 1 country.

Kamila Wojas-KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.ORCID 0000-0001-9947-5169
Iwona PaśnikDepartment of Clinical Pathomorphology, Medical University of Lublin, 20-605 Lublin, Poland.
Tomasz KucharczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.ORCID 0000-0002-2678-8655
Irena WielebaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.
Natalia KrzyżanowskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.
Michał GilInstitute of Genetics and Immunology GENIM LCC in Lublin, 20-609 Lublin, Poland.
Paweł KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.
Janusz MilanowskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, 20-605 Lublin, Poland.
Medical University of Lublin · PLInstytut Medycyny Wsi im. Witolda Chodźki · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficiency of immunotherapy using monoclonal antibodies that inhibit immune checkpoints has been proven in many clinical studies and well documented by numerous registration approaches. To date, PD-L1 expression on tumor and immune cells, tumor mutation burden (TMB), and microsatellite instability (MSI) are the only validated predictive factors used for the qualification of cancer patients for immunotherapy. However, they are not the ideal predictive factors. No response to immunotherapy could be observed in patients with high PD-L1 expression, TMB, or MSI. On the other hand, the effectiveness of this treatment method also may occur in patients without PD-L1 expression or with low TMB and with microsatellite stability. When considering the best predictive factor, we should remember that the effectiveness of immunotherapy relies on an overly complex process depending on many factors. To specifically stimulate lymphocytes, not only should their activity in the tumor microenvironment be unlocked, but above all, they should recognize tumor antigens. The proper functioning of the anticancer immune system requires the proper interaction of many elements of the specific and non-specific responses. For these reasons, a multi-parameter analysis of the immune system at its different activity levels is considered a very future-oriented predictive marker. Such complex immunological analysis is performed using modern molecular biology techniques. Based on the gene expression studies, we can determine the content of individual immune cells within the tumor, its stroma, and beyond. This includes all cell types from active memory cytotoxic T cells, M1 macrophages, to exhausted T cells, regulatory T cells, and M2 macrophages. In this article, we summarize the possibilities of using an immune system analysis to predict immunotherapy efficacy in cancer patients. Moreover, we present the advantages and disadvantages of immunoprofiling as well as a proposed future direction for this new method of immune system analysis in cancer patients who receive immunotherapy.

Indexed as

Biomarkers, TumorHumansImmunophenotypingImmunotherapyLung NeoplasmsBiomarkers, Tumorimmune checkpointsimmunophenotypingimmunotherapytumor microenvironment

Identifiers

PMID34502043
PMCPMC8431454
OpenAlexW3195343558

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.