Evidence map›Paper›PMID 38089757›Full record

ArticleCancer innovation2022

Prognostic value of lactate transporter SLC16A1 and SLC16A3 as oncoimmunological biomarkers associating tumor metabolism and immune evasion in glioma.

Ting Zhu, Xiaoqin Ge, Shengping Gong, Shenchao Guo, Qingsong Tao, Jianxin Guo, Ruishuang Ma

Open access · diamondAbstract read
In one paragraph

Article in Cancer innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Ting ZhuDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.
Xiaoqin GeDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.
Shengping GongDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.
Shenchao GuoCentral Laboratory of the Medical Research Center Ningbo First Hospital Ningbo China.
Qingsong TaoDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.
Jianxin GuoDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.
Ruishuang MaDepartment of Radiotherapy and Chemotherapy Ningbo First Hospital Ningbo China.ORCID 0000-0003-4288-9883
Ningbo First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypoxic microenvironment is immunosuppressive and protumorigenic, and elevated lactate is an intermediary in the modulation of immune responses. However, as critical lactate transporters, the role of SLC16A1 and SLC16A3 in immune infiltration and evasion of glioma is not fully elucidated. Methods: Gene expression in low- and high-grade glioma (LGG and GBM) was evaluated with TCGA database. The TISIDB, TIMER and CIBERSORT databases were utilized for the analysis of the correlation between SLC16A1 or SLC16A3 and immunocyte infiltration as well as immune checkpoints. Results: Compared with normal tissues, a significant increase of both SLC16A1 and SLC16A3 was found in LGG and GBM, and closely related to the poor prognosis only in LGG. Cancer SEA indicated that SLC16A1 was involved in hypoxia while SLC16A3 contributed to metastasis and inflammation in glioma. The SLC16A3 expression was significantly correlated with neutrophil activation by GO analysis. TISCH showed the distribution of SLC16A1 on glioma cells and SLC16A3 on immune cells, which was correlated to tumor-associated macrophages and neutrophils that are immunosuppressive. SLC16A1 and SLC16A3 were identified to tightly interacted with diverse immune checkpoints (especially PD1, PD-L1, PD-L2, Tim-3) and immunosuppressive factors (TGF-β and IL-10) in glioma. Furthermore, SLC16A3 had a positive correlation to activation markers of tumor-associated neutrophils and chemokines such as CCL2, CCL22, CXCR2, CXCR4 in LGG and CCL7, CCL20 CXCL8 in GBM, which could enhance infiltration of immunosuppressive cells to the tumor microenvironment. Conclusion: In general, our results suggest that SLC16A1 and SLC16A3 act as a bridge between tumor metabolism and immunity by promoting immunosuppressive cell infiltration, which contributes to immune evasion and a worse prognosis in glioma. Targeting SLC16A1 and SLC16A3 may provide novel therapeutic strategy for immunotherapy in glioma.

Indexed as

gliomaimmune checkpointsimmune evasionSLC16A1 (MCT1)SLC16A3 (MCT4)

Identifiers

PMID38089757
PMCPMC10686114
OpenAlexW4304810994

What OpenQuestion holds

Textmetadata
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.