ArticleTranslational cancer research2023
The stage-dependent prognostic role of
Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 5 citations in OpenAlex.
- Identification of circadian rhythm-associated key genes in metabolic dysfunction-associated fatty liver disease.Clinical and experimental medicine · 2026Article
- SMURF2 in Anticancer Therapy: Dual Role in Carcinogenesis and Theranostics.International journal of molecular sciences · 2026Review
- YTHDF1 regulates YTHDF2 stability via m6A-dependent mechanisms in hepatocellular carcinoma: insights fromJournal of gastrointestinal oncology · 2025Article
- Integrated Multi-Omics Analysis Unveils Distinct Molecular Subtypes and a Robust Immune-Metabolic Prognostic Model in Clear Cell Renal Cell Carcinoma.International journal of molecular sciences · 2025Article
- Opening and changing: mammalian SWI/SNF complexes in organ development and carcinogenesis.Open biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-related death. Although novel treatment currently achieves a better response, the majority of HCC patients develop resistance and cannot benefit. Hence, novel biomarkers for guiding therapy and predicting the prognosis are needed. Methods: Tissue microarrays of 206 HCC patients were used, and ARID1A expression was determined by immunohistochemistry. Databases were used for the verification and expansion of our results. The "rms" package of R software was used for the construction of the nomogram. Results: Conclusions:
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.