ArticleJournal of ovarian research2023
SPON1 is an independent prognostic biomarker for ovarian cancer.
Article in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 11 citations in OpenAlex.
- Multi-omics identification of SPON1-related risk model for predicting prognosis and drug response in ovarian cancer.Functional & integrative genomics · 2026Article
- Machine Learning-Guided Multi-Cohort Transcriptomic Profiling IdentifiesInternational journal of molecular sciences · 2026Article
- Proteomic analysis of malignant ascites and its impact on ovarian cancer spheroids.Clinical proteomics · 2026Article
- Integrated Single-Cell Whole-Genome Sequencing and Spatial Transcriptomics Reveal Intratumoral Heterogeneity in Ovarian Cancer.Cancer research communications · 2026Article
- Identification of ovarian cancer-associated antigens forming complexes with autoantibodies.Journal of ovarian research · 2026Article
- An Advanced 3D Model of Vascularized Epithelial Ovarian Cancer in a Tumor-on-a-Chip System Based on Multi-Cell Culture.Sensors (Basel, Switzerland) · 2026Article
- Single-nucleus transcriptomics identifies SPON1 as a candidate mediator of the anti-fibrotic effect ofAmerican journal of translational research · 2026Article
- FAM172A promotes epithelial ovarian cancer progression and induces platinum resistance via the PI3K/AKT pathway.Scientific reports · 2025Article
- Integrated single-cell whole genome sequencing and spatial transcriptomics reveal latent intra-tumoral heterogeneity in ovarian cancer.bioRxiv : the preprint server for biology · 2025Article
- Mass Spectrometric Analysis of Clomiphene Citrate-induced Changes in the Secretome Profile of PAX8-positive Human Fallopian Tube Secretory Epithelial Cells and Identification of Biomarkers Relevant to Reproduction and Pregnancy.Reproductive sciences (Thousand Oaks, Calif.) · 2025Article
- Development and validation of a risk model for effective immune and stromal related signature predicting prognosis of patients with ovarian cancer.Scientific reports · 2025Article
- Connecting intermediate phenotypes to disease using multi-omics in heart failure.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- Identification of Estrogen-Responsive Proteins in Mouse Seminal Vesicles Through Mass Spectrometry-Based Proteomics.Pharmaceuticals (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundOvarian cancer has the worst outcome among gynecological malignancies; therefore, biomarkers that could contribute to the early diagnosis and/or prognosis prediction are urgently required. In the present study, we focused on the secreted protein spondin-1 (SPON1) and clarified the prognostic relevance in ovarian cancer.
methodsWe developed a monoclonal antibody (mAb) that selectively recognizes SPON1. Using this specific mAb, we determined the expression of SPON1 protein in the normal ovary, serous tubal intraepithelial carcinoma (STIC), and ovarian cancer tissues, as well as in various normal adult tissues by immunohistochemistry, and verified its clinicopathological significance in ovarian cancer.
resultsThe normal ovarian tissue was barely positive for SPON1, and no immunoreactive signals were detected in other healthy tissues examined, which was in good agreement with data obtained from gene expression databases. By contrast, upon semi-quantification, 22 of 242 ovarian cancer cases (9.1%) exhibited high SPON1 expression, whereas 64 (26.4%), 87 (36.0%), and 69 (28.5%) cases, which were designated as SPON1-low, possessed the moderate, weak, and negative SPON1 expression, respectively. The STIC tissues also possessed SPON1-positive signals. The 5-year recurrence-free survival (RFS) rate in the SPON1-high group (13.6%) was significantly lower than that in the SPON1-low group (51.2%). In addition, high SPON1 expression was significantly associated with several clinicopathological variables. Multivariable analysis revealed that high SPON1 was an independent prognostic factor for RFS of ovarian cancer.
conclusionsSPON1 represents a prognostic biomarker for ovarian cancer, and the anti-SPON1 mAb could be valuable as an outcome predictor.
Indexed as
Identifiers
What Socratic 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 Socratic graph.