Evidence map›Paper›PMID 33648463›Full record

ArticleBMC cancer2021

Single nucleotide variants in immune-response genes and the tumor microenvironment composition predict progression of mantle cell lymphoma.

Guilherme Rossi Assis-Mendonça, André Fattori, Rafael Malagoli Rocha, Gustavo Jacob Lourenço, Márcia Torresan Delamain, Suely Nonogaki, Vladmir Cláudio Cordeiro de Lima, Gisele Wally Braga Colleoni, Cármino Antonio de Souza, Fernando Augusto Soares and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 13 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

12 authors at 5 institutions in 1 country.

Guilherme Rossi Assis-MendonçaDepartment of Pathology, Faculty of Medical Sciences, University of Campinas, Distrito de Barão Geraldo, Campinas, SP, Brazil. guilhermeram13@yahoo.com.br.ORCID http://orcid.org/0000-0001-7644-4159
André FattoriDepartment of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Rafael Malagoli RochaMolecular Gynecology Laboratory, Department of Gynecology, Federal University of São Paulo, São Paulo, Brazil.
Gustavo Jacob LourençoLaboratory of Cancer Genetics, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Márcia Torresan DelamainHematology and Hemotherapy Center, University of Campinas, Campinas, Brazil.
Suely NonogakiInstituto Adolfo Lutz, Secretaria de Estado da Saúde, São Paulo, SP, Brazil.
Vladmir Cláudio Cordeiro de LimaDepartment of Medical Oncology, A C Camargo Cancer Center, São Paulo, Brazil.
Gisele Wally Braga ColleoniDepartment of Clinical and Experimental Oncology, Federal University of São Paulo, São Paulo, SP, Brazil.
Cármino Antonio de SouzaDepartment of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
Fernando Augusto SoaresRede D'Or Hospitals Network - Pathology Division, São Paulo, SP, Brazil.
Carmen Silvia Passos LimaDepartment of Internal Medicine, Faculty of Medical Sciences, University of Campinas, Campinas, SP, Brazil.
José VassalloDepartment of Pathology, Faculty of Medical Sciences, University of Campinas, Distrito de Barão Geraldo, Campinas, SP, Brazil.
Universidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal de São Paulo · BRAC Camargo Hospital · BRD’Or Institute for Research and Education · BRInstituto Adolfo Lutz · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 62/2014Fundação de Amparo à Pesquisa do Estado de São Paulo 2014/09854-5
6 · The paper itself

Abstract

backgroundThere is evidence to consider that the tumor microenvironment (TME) composition associates with antitumor immune response, and may predict the outcome of various non-Hodgkin lymphoma subtypes. However, in the case of mantle cell lymphoma (MCL), a rare and aggressive disease, there is lacking a detailed study of the TME components, as well as an integrative approach among them in patients' samples. Also, from the genetic point of view, it is known that single nucleotide variants (SNVs) in immune-response genes are among important regulators of immunity. At present, it is uncertain whether SNVs in candidate immune-response genes and the TME composition are able to alter the prognosis in MCL.

methodsWe assessed a detailed TME composition in 88 MCL biopsies using immunohistochemistry, which was automatically analyzed by pixel counting (Aperio system). We also genotyped SNVs located in candidate immune-response genes (IL12A, IL2, IL10, TGFB1, TGFBR1, TGFBR2, IL17A, IL17F) in 95 MCL patients. We tested whether the SNVs could modulate the respective protein expression and TME composition in the tumor compartment. Finally, we proposed survival models in rituximab-treated patients, considering immunohistochemical and SNV models.

resultsHigh FOXP3/CD3 ratios (p = 0.001), high IL17A levels (p = 0.003) and low IL2 levels (p = 0.03) were individual immunohistochemical predictors of poorer survival. A principal component, comprising high quantities of macrophages and high Ki-67 index, also worsened outcome (p = 0.02). In the SNV model, the CC haplotype of IL10 (p < 0.01), the GG genotype of IL2 rs2069762 (p = 0.02) and the AA+AG genotypes of TGFBR2 rs3087465 (p < 0.01) were independent predictors of outcome. Finally, the GG genotype of TGFB1 rs6957 associated with lower tumor TGFβ levels (p = 0.03) and less CD163+ macrophages (p = 0.01), but did not modulate patients' survival.

conclusionsOur results indicate that the TME composition has relevant biological roles in MCL. In this setting, immunohistochemical detection of T-reg cells, IL17A and IL2, coupled with SNV genotyping in IL10, TGFBR2 and IL2, may represent novel prognostic factors in this disease, following future validations.

Indexed as

Polymorphism, Single NucleotideTumor MicroenvironmentAdultAgedAged, 80 and overAntineoplastic AgentsCombined Modality TherapyDisease ProgressionFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesGenotypeHematopoietic Stem Cell TransplantationHumansImmunityImmunosuppressive AgentsAntineoplastic AgentsImmunosuppressive AgentsInterleukinsNeoplasm ProteinsReceptors, Transforming Growth Factor betaRituximabSOX11 protein, humanSOXC Transcription FactorsTransforming Growth Factor beta1ImmunohistochemistryMantle cell lymphomaPrognostic factorsSNVsTumor microenvironment

Identifiers

PMID33648463
PMCPMC7919095
OpenAlexW3135611035

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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.