Evidence map›Paper›PMID 35031572›Full record

ArticleCancer research2022

Quantification of T- and B-cell Immune Receptor Distribution Diversity Characterizes Immune Cell Infiltration and Lymphocyte Heterogeneity in Clear Cell Renal Cell Carcinoma.

Meghan C Ferrall-Fairbanks, Nicholas H Chakiryan, Boris I Chobrutskiy, Youngchul Kim, Jamie K Teer, Anders Berglund, James J Mulé, Michelle Fournier, Erin M Siegel, Jasreman Dhillon and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2022. 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
2.6field-weighted citation impact, top 10% 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, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 2 countries.

Meghan C Ferrall-FairbanksDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-3380-6989
Nicholas H ChakiryanDepartment of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida.
Boris I ChobrutskiyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida.
Youngchul KimDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-2307-0330
Jamie K TeerDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0003-4513-0282
Anders BerglundDepartment of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-0393-3530
James J MuléDepartment of Immuno Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-7354-0516
Michelle FournierDepartment of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida.
Erin M SiegelDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0003-1779-2510
Jasreman DhillonDepartment of Pathology, Moffitt Cancer Center, Tampa, Florida.
Seyed Shayan A FalasiriDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida.ORCID 0000-0002-8701-5146
Juan F ArturoDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida.
Esther N KatendeDepartment of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0003-1490-1195
George BlanckDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida.
Brandon J Manley *Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-8545-7816
Philipp M Altrock *Department of Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0001-7731-3345
Moffitt Cancer Center · USUniversity of South Florida · USUniversity of Florida Health · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Immune-modulating systemic therapies are often used to treat advanced cancer such as metastatic clear cell renal cell carcinoma (ccRCC). Used alone, sequence-based biomarkers neither accurately capture patient dynamics nor the tumor immune microenvironment. To better understand the tumor ecology of this immune microenvironment, we quantified tumor infiltration across three distinct ccRCC patient tumor cohorts using complementarity determining region-3 (CDR3) sequence recovery counts in tumor-infiltrating lymphocytes and a generalized diversity index (GDI) for CDR3 sequence distributions. GDI can be understood as a curve over a continuum of diversity scales that allows sensitive characterization of distributions to capture sample richness, evenness, and subsampling uncertainty, along with other important metrics that characterize tumor heterogeneity. For example, richness quantified the total unique sequence count, while evenness quantified similarities across sequence frequencies. Significant differences in receptor sequence diversity across gender and race revealed that patients with larger and more clinically aggressive tumors had increased richness of recovered tumoral CDR3 sequences, specifically in those from T-cell receptor alpha and B-cell immunoglobulin lambda light chain. The GDI inflection point (IP) allowed for a novel and robust measure of distribution evenness. High IP values were associated with improved overall survival, suggesting that normal-like sequence distributions lead to better outcomes. These results propose a new quantitative tool that can be used to better characterize patient-specific differences related to immune cell infiltration, and to identify unique characteristics of tumor-infiltrating lymphocyte heterogeneity in ccRCC and other malignancies. SIGNIFICANCE: Assessment of tumor-infiltrating T-cell and B-cell diversity in renal cell carcinoma advances the understanding of tumor-immune system interactions, linking tumor immune ecology with tumor burden, aggressiveness, and patient survival. See related commentary by Krishna and Hakimi, p. 764.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsFemaleHumansLymphocytes, Tumor-InfiltratingMalePrognosisReceptors, Antigen, B-CellReceptors, Antigen, T-Cell, alpha-betaTumor MicroenvironmentReceptors, Antigen, B-CellReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID35031572
PMCPMC8898280
OpenAlexW4205843647

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.