Evidence map›Paper›PMID 36224560›Full record

ArticleJournal of translational medicine2022

Analysis of gene expression levels and their impact on survival in 31 cancer-types patients identifies novel prognostic markers and suggests unexplored immunotherapy treatment options in a wide range of malignancies.

Claudia Giampietri, Francesca Scatozza, Elena Crecca, Virginia Vigiano Benedetti, Pier Giorgio Natali, Antonio Facchiano

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. 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
0.9field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. AnInternational journal of molecular sciences · 2025
    Article
  5. The Diagnostic Performance ofIranian journal of public health · 2024
    Review
  6. Review
  7. Phytochemicals as Immunomodulatory Agents in Melanoma.International journal of molecular sciences · 2023
    Review
  8. 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

6 authors at 2 institutions in 1 country.

Claudia GiampietriDepartment of Anatomy, Histology, Forensic Medicine and Orthopedics, Unit of Human Anatomy, Sapienza University of Rome, Rome, Italy.
Francesca ScatozzaLaboratory of Molecular Oncology, Istituto Dermopatico Dell'Immacolata, IDI-IRCCS, Via Monti di Creta, 00167, Rome, Italy.
Elena CreccaLaboratory of Molecular Oncology, Istituto Dermopatico Dell'Immacolata, IDI-IRCCS, Via Monti di Creta, 00167, Rome, Italy.
Virginia Vigiano BenedettiLaboratory of Molecular Oncology, Istituto Dermopatico Dell'Immacolata, IDI-IRCCS, Via Monti di Creta, 00167, Rome, Italy.
Pier Giorgio NataliMediterranean Taskforce for Cancer Control (MTCC), Rome, Italy.
Antonio FacchianoLaboratory of Molecular Oncology, Istituto Dermopatico Dell'Immacolata, IDI-IRCCS, Via Monti di Creta, 00167, Rome, Italy. a.facchiano@idi.it.ORCID 0000-0002-4243-2392
Istituto Dermopatico dell'Immacolata · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmunotherapy has dramatically improved cancer treatment by inhibiting or activating specific cell receptors, thus unleashing the host anti-tumor response. However, the engagement of the three main immune checkpoints so far identified, CTLA4, PD-1 and PD-L1, is effective in a fraction of patients, therefore novel targets must be identified and tested.

methodsWe focused our attention on the following nine highly relevant immune checkpoint (ICR) receptors: CTLA4, PD1, PD-L1, LAG3, TIM3, OX40, GITR, 4-1BB and TIGIT. All of them are targets of existing drugs currently under clinical scrutiny in several malignancies. Their expression levels were evaluated in patient tissues of 31 different cancer types vs. proper controls, in a total of 15,038 individuals. This analysis was carried out by interrogating public databases available on GEPIA2 portal and UALCAN portal. By the Principal Component Analysis (PCA) their ability to effectively discriminate patients form controls was then investigated. Expression of the nine ICRs was also related to overall survival in 31 cancer types and expressed as Hazard Ratio, on the GEPIA2 portal and validated, for melanoma patients, in patients-datasets available on PROGgene V2 portal.

resultsSignificant differential expression was observed for each ICR molecule in many cancer types. A 7-molecules profile was found to specifically discriminate melanoma patients from controls, while two different 6-molecules profiles discriminate pancreatic cancer patients and Testicular Germ Cell Tumors from matched controls. Highly significant survival improvement was found to be related to the expression levels of all nine ICRs in a wide spectrum of malignancies. For melanoma analysis, the relation with survival observed in TCGA datasets was validated in independent GSE melanoma datasets.

conclusionAnalysis the nine ICR molecules demonstrates that their expression patterns may be considered as markers of disease and strong survival predictors in a variety of malignancies frequently associated to poor prognosis. Thus, the present findings are strongly advocating that exploratory clinical trials are worth to be performed, using available drugs, targeting these molecules.

Indexed as

MelanomaProgrammed Cell Death 1 ReceptorB7-H1 AntigenCTLA-4 AntigenGene ExpressionHepatitis A Virus Cellular Receptor 2HumansImmunologic FactorsImmunotherapyPrognosisReceptors, ImmunologicB7-H1 AntigenCTLA-4 AntigenHepatitis A Virus Cellular Receptor 2Immunologic FactorsProgrammed Cell Death 1 ReceptorReceptors, Immunologic4-1BBCholangiocarcinomaGITRLAG3MelanomaOX40Testis cancerThymomaTIGITTIM3

Identifiers

PMID36224560
PMCPMC9559014
OpenAlexW4304756257

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.