Evidence map›Paper›PMID 36394080›Full record

ArticleCancer medicine2023

Immune checkpoint gene VSIR predicts patient prognosis in acute myeloid leukemia and myelodysplastic syndromes.

Kevin Yao, Emily Zhou, Evelien Schaafsma, Baoyi Zhang, Chao Cheng

Open access · goldFull text read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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 at 4 institutions in 1 country.

Kevin YaoDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA.ORCID 0000-0001-6369-655X
Emily ZhouDepartment of Biosciences, Rice University, Houston, Texas, USA.ORCID 0000-0002-9194-7042
Evelien SchaafsmaDepartment of Molecular and Systems Biology, Dartmouth College, Lebanon, New Hampshire, USA.ORCID 0000-0002-3821-3568
Baoyi ZhangDepartment of Chemical and Biomolecular Engineering, Rice University, Houston, Texas, USA.
Chao ChengDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-5002-3417
Rice University · USBaylor College of Medicine · USDartmouth College · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint proteins play critical functions during the immune response to cancer and have been targeted by immune checkpoint blockade therapy. V-domain Ig suppressor of T cell activation (VSIR) is one of these immune checkpoint genes and has been investigated extensively in recent years due to its conflicting roles in cancer immunity. Specifically, in acute myeloid leukemia (AML), the prognostic value of VSIR is debated.

resultsIn both patient tumor samples and cancer cell lines we find that VSIR has the highest expression in AML out of all cancer types and, in AML, has the highest expression out of all other immune checkpoint genes. Survival analysis indicated that AML patients with higher VSIR expression have significantly shorter survival than those patients with lower expression, even within established AML subgroups (e.g., FAB subtypes). Importantly, VSIR expression is predictive of progression from myelodysplastic syndromes (MDS) patients into AML, suggesting its potential role during the very early stage of AML development and progression. In addition to AML, VSIR also demonstrates prognostic values in other cancer types, including multiple myeloma and mesothelioma.

conclusionIn summary, our analyses revealed the prognostic value of VSIR and its potential as a target for immunotherapy, especially in AML.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesHumansLymphocyte ActivationPrognosisAMLMDSprognosisVSIR

Identifiers

PMID36394080
PMCPMC10028170
OpenAlexW4309245560

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read20
identifiers read3
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.