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Omics-wide quantitative B-cell infiltration analyses identify GPR18 for human cancer prognosis with superiority over CD20

*Corresponding author for this work
  • Chinese University of Hong Kong
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Tumor-infiltrating B lymphocyte (TIL-B), and TIL-B-related biomarkers have clinical prognostic values for human cancers. CD20 (encoded by MS4A1) is a widely used TIL-B biomarker. Using TCGA-quantitative multiomics datasets, we first cross-compare prognostic powers of intratumoral CD20 protein, mRNA and TIL-B levels in pan-cancers. Here, we show that MS4A1 and TIL-B are consistently prognostic in 5 cancers (head and neck, lung, cervical, kidney and low-grade glioma), while unexpectedly, CD20 protein levels lack quantitative correlations with MS4A1/TIL-B levels and demonstrate limited prognosticity. Subsequent bioinformatics discovery for TIL-B prognostic gene identifies a single gene, GPR18 with stand-alone prognosticity across 9 cancers (superior over CD20), with further validations in multiple non-TCGA cohorts. GPR18's immune signature denotes major B-cell-T-cell interactions, with its intratumoral expression strongly tied to a “T-cell active”, likely cytolytic, status across human cancers, suggesting its functional link to cytolytic T-cell activity in cancer. GPR18 merits biological and clinical utility assessments over CD20.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

234

Journal (Volume, Issue Number)

Communications Biology (Volume 3, Issue 1)

Publication milestones

  • Published - 12/01/2020

Publication status

Published - 12/01/2020

Publication IDs

  • Scopus: 85084461925
  • PubMed: 32398659

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1
Scopus
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Funding Details

also receives fundings from General Research Fund, Research Grant Council, Hong Kong government, Hong Kong SAR (#17121616, #1416857), Research Impact Fund (#R4017-18), the Health and Medical Research Fund (HMRF#15160691, the Health and Medical Research Fund, the Food and Health Bureau, The Government of the Hong Kong Special Administrative Region), University-Industry Collaboration Program (UIM/329; Innovation and Technology Fund, Hong Kong government, Hong Kong SAR), and the Hong Kong Cancer Fund, Hong Kong SAR. Y.L. receives funding supports (Postdoctoral Hub PH-ITF Ref.: PiH/052/18 of UIM/329), from the Innovation and Technology Fund, Hong Kong government, Hong Kong SAR. K.-W.L. receives funding supports (Faculty Postdoctoral Fellowship Ref: FPFS/18-19/44 and FPFS/19-20/R/18) from the Chinese University of Hong Kong, Hong Kong SAR. This research is funded by the Lee Hysan Foundation Research Grant and Endowment Fund Research Grant Schemes 2018-2019 (CA11281, V.W.Y.L.) and 2019-2020 (CA11286, V.W.Y.L.), United College, the Chinese University of Hong Kong. V.W.Y.L.
FundersFunding numbers
General Research Fund
-
Hong Kong Government
-
Research Grant Council, Hong Kong Government
17121616, 4017-18, 1416857
University-Industry Collaboration Program
-
LHF
CA11286, 2018-2019, CA11281
RGC, UGC
-
CUHK
-
FHB
-
HMRF
15160691
ITF
UIM/329
HKFC
PiH/052/18, FPFS/18-19/44, FPFS/19-20/R/18