Evidence map›Paper›PMID 39511540›Full record

ArticleBMC cancer2024

Targeting LLT1 as a potential immunotherapy option for cancer patients non-responsive to existing checkpoint therapies in multiple solid tumors.

Tirtha Mandal, Soorya Gnanasegaran, Golding Rodrigues, Shalini Kashipathi, Anurag Tiwari, Ashvini Kumar Dubey, Sanghamitra Bhattacharjee, Yogendra Manjunath, Subith Krishna, M S Madhusudhan and 1 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Immunotherapy in Head and Neck Cancer.Cancer treatment and research · 2025
    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

11 authors.

Tirtha Mandal *Zumutor Biologics, Bangalore, Karnataka, India.
Soorya Gnanasegaran *Zumutor Biologics, Bangalore, Karnataka, India.
Golding Rodrigues *Indian Institute of Science Education and Research (IISER), Pune, India.
Shalini KashipathiZumutor Biologics, Bangalore, Karnataka, India.
Anurag TiwariZumutor Biologics, Bangalore, Karnataka, India.
Ashvini Kumar DubeyZumutor Biologics, Bangalore, Karnataka, India.
Sanghamitra BhattacharjeeZumutor Biologics, Bangalore, Karnataka, India.
Yogendra ManjunathZumutor Biologics, Bangalore, Karnataka, India.
Subith KrishnaZumutor Biologics, Bangalore, Karnataka, India.
M S MadhusudhanIndian Institute of Science Education and Research (IISER), Pune, India.
Maloy GhoshZumutor Biologics, Bangalore, Karnataka, India. maloy.ghosh@zumutor.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh levels of LLT1 expression have been found in several cancers, where it interacts with CD161 on NK cells to facilitate tumor immune escape. Targeting LLT1 could potentially relieve this inhibitory signal and enhance anti-tumor responses mediated through NK cells. Using the 'The Cancer Genome Atlas' (TCGA) database, we investigated the role of LLT1 in the tumor microenvironment (TME) across various cancers. Identifying such biomarkers could create new therapeutic options for patients in addition to complementing existing immunotherapies.

methodsLLT1 expression was evaluated in 33 cancers using TCGA transcriptome data. Univariate Cox regression analysis was employed to assess the correlation of LLT1 expression with patient survival. The relationship between LLT1 expression with immune infiltrates, immune gene signatures, and cancer genomic biomarkers (TMB, MSI, and MMR) was also investigated. Immunofluorescence studies were conducted to validate LLT1 expression in tumors. Furthermore, using the CRI iAtlas data, we evaluated LLT1 distribution and its correlation with other immune checkpoint genes in patients non-responsive to existing immune checkpoint therapies across multiple solid cancers.

resultsHigh expression of LLT1 was observed in 12 cancers, including BRCA, CHOL, ESCA, GBM, HNSC, KIRC, KIRP, LIHC, LUAD, STAD, SARC, and PCPG. In certain cancers like COAD, KICH, and KIRC, high LLT1 expression was associated with poor prognosis. Further analysis revealed that upregulated LLT1 was associated with an abundance of NK and T cell infiltrates in the TME, as well as exhaustive immune biomarkers, and inversely associated with pro-inflammatory and tumor suppressor signatures. High LLT1 expression is also positively correlated with genomic biomarkers in certain cancers. Immunofluorescence studies confirmed moderate to high LLT1 expression in immune-resistant prostate cancer, glioma, ovarian cancer, and immune-sensitive liver cancer cell lines. An independent assessment of clinical cohorts from CRI iAtlas showed a correlation of upregulated LLT1 with multiple immunosuppressive genes in patients non-responsive to current ICIs.

conclusionsThe biomarker analysis revealed a clear association between elevated LLT1 expression and an immunosuppressive TME in patient cohorts from TCGA and clinical databases. Therefore, this study provides a foundation for utilizing LLT1 as a potential target to improve clinical responses in ICI non-responsive patients with upregulated LLT1.

Indexed as

Biomarkers, TumorImmunotherapyNeoplasmsTumor MicroenvironmentGene Expression Regulation, NeoplasticHumansImmune Checkpoint InhibitorsKiller Cells, NaturalLectins, C-TypeNK Cell Lectin-Like Receptor Subfamily BPrognosisReceptors, Cell SurfaceBiomarkers, TumorCLEC2D protein, humanImmune Checkpoint InhibitorsLectins, C-TypeNK Cell Lectin-Like Receptor Subfamily BReceptors, Cell SurfaceImmune Checkpoint InhibitorsImmunotherapyLLT1Natural Killer CellsTumor BiomarkersTumor Microenvironment

Identifiers

PMID39511540
PMCPMC11545609

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.