Evidence map›Paper›PMID 34867958›Full record

ReviewFrontiers in immunology2021

Mechanisms of Immunosuppressive Tumor Evasion: Focus on Acute Lymphoblastic Leukemia.

Silvia Jiménez-Morales, Ivan Sammir Aranda-Uribe, Carlos Jhovani Pérez-Amado, Julian Ramírez-Bello, Alfredo Hidalgo-Miranda

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  6. Emerging Roles of Fc Receptor-Like 1 in Immunotherapy of Diffuse Large B-Cell Lymphoma.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2025
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  8. 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

5 authors.

Silvia Jiménez-MoralesLaboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Ivan Sammir Aranda-UribeLaboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Carlos Jhovani Pérez-AmadoLaboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Julian Ramírez-BelloDepartamento de Endocrinología, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
Alfredo Hidalgo-MirandaLaboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute lymphoblastic leukemia (ALL) is a malignancy with high heterogeneity in its biological features and treatments. Although the overall survival (OS) of patients with ALL has recently improved considerably, owing to the application of conventional chemo-therapeutic agents, approximately 20% of the pediatric cases and 40-50% of the adult patients relapse during and after the treatment period. The potential mechanisms that cause relapse involve clonal evolution, innate and acquired chemoresistance, and the ability of ALL cells to escape the immune-suppressive tumor response. Currently, immunotherapy in combination with conventional treatment is used to enhance the immune response against tumor cells, thereby significantly improving the OS in patients with ALL. Therefore, understanding the mechanisms of immune evasion by leukemia cells could be useful for developing novel therapeutic strategies.

Indexed as

Tumor EscapeAnimalsBone MarrowHumansImmune TolerancePrecursor Cell Lymphoblastic Leukemia-LymphomaTumor Microenvironmentacute lymphoblastic leukemiaimmune cellsimmunoeditingimmunotherapytumor immune evasion

Identifiers

PMID34867958
PMCPMC8636671

What OpenQuestion holds

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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.