ArticleCancer cell international2020
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 111 citations in OpenAlex.
- Metformin regulates the proliferation and motility of melanoma cells by modulating the LINC00094/miR-1270 axis.Cancer cell international · 2024Article
- Identification of genomic-wide genetic links between cutaneous melanoma and obesity-related physical traits via cFDR.Genes & genomics · 2023Article
- BS148 Reduces the Aggressiveness of Metastatic Melanoma via Sigma-2 Receptor Targeting.International journal of molecular sciences · 2023Article
- TNFSF10, an autophagy related gene, was a prognostic and immune infiltration marker in skin cutaneous melanoma.Journal of Cancer · 2023Article
- A tumor-specific pro-IL-12 activates preexisting cytotoxic T cells to control established tumors.Science immunology · 2022Article
- CD96 as a Potential Diagnostic Biomarker and New Target for Skin Cutaneous Melanoma.Contrast media & molecular imaging · 2022Article
- ZIP9 Is a Druggable Determinant of Sex Differences in Melanoma.Cancer research · 2021Article
- Expression of OPN3 in acral lentiginous melanoma and its associated with clinicohistopathologic features and prognosis.Immunity, inflammation and disease · 2021Article
- Article
- Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes.Molecular omics · 2021Article
- Identification of Potential Prognostic Biomarkers Associated With Cancerometastasis in Skin Cutaneous Melanoma.Frontiers in genetics · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCutaneous melanoma is one of the most aggressive and lethal skin cancers. It is greatly important to identify prognostic biomarkers to guide the clinical management. However, it is technically challenging for untrained researchers to process high dimensional profiling data and identify potential prognostic genes in profiling datasets.
methodsIn this study, we developed a webserver to analyze the prognostic values of genes in cutaneous melanoma using data from TCGA and GEO databases. The webserver is named Online consensus Survival webserver for Skin Cutaneous Melanoma (
resultsIn
conclusionThe
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.