ArticleScientific reports2017
Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 27 citations in OpenAlex.
- Serological signatures and pathological features for the management of CEA-negative colorectal cancer: development of combined diagnostic and prognostic nomograms.World journal of surgical oncology · 2026Article
- Article
- Development and validation of a logistic regression model for the diagnosis of colorectal cancer.Scientific reports · 2025Article
- Establishment and Validation of a Prognostic Nomogram for Predicting Postoperative Overall Survival in Advanced Stage III-IV Colorectal Cancer Patients.Cancer medicine · 2024Article
- A retrospective study comparing the efficacy of microwave ablation and stereotactic body radiotherapy in colorectal cancer lung metastases.Oncology letters · 2024Article
- Correlation between Tregs and ICOS-induced M2 macrophages polarization in colorectal cancer progression.Frontiers in oncology · 2024Article
- Predictive Value of the Total Bilirubin and CA50 Screened Based on Machine Learning for Recurrence of Bladder Cancer Patients.Cancer management and research · 2024Article
- Circulating extracellular vesicle-derived MARCKSL1 is a potential diagnostic non-invasive biomarker in metastatic colorectal cancer patients.Scientific reports · 2023Article
- NCR, an Inflammation and Nutrition Related Blood-Based Marker in Colon Cancer Patients: A New Promising Biomarker to Predict Outcome.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnostic value of an enhanced MRI combined with serum CEA, CA19-9, CA125 and CA72-4 in the liver metastasis of colorectal cancer.World journal of surgical oncology · 2022Article
- Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study.International journal of environmental research and public health · 2021Article
- Accurate nomograms with excellent clinical value for locally advanced rectal cancer.Annals of translational medicine · 2021Article
- M2-Type Macrophages Induce Tregs Generation by Activating the TGF-β/Smad Signalling Pathway to Promote Colorectal Cancer Development.OncoTargets and therapy · 2021Article
- Significant diagnostic value of circulating tumour cells in colorectal cancer.Oncology letters · 2020Article
- Performance of a Nomogram Based on the Integration of Inflammation Markers with Tumor Staging in Prognosis Prediction of Stage III Colorectal Cancer.Cancer management and research · 2020Article
- Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer.Bioscience reports · 2019Article
- Preoperative assessment of lymph node metastasis in clinically node-negative rectal cancer patients based on a nomogram consisting of five clinical factors.Annals of translational medicine · 2019Article
- Targeting regulation of tryptophan metabolism for colorectal cancer therapy: a systematic review.RSC advances · 2019Review
- Higher plasma concentration of TP53-induced glycolysis and apoptosis regulator is associated with a lower risk of colorectal cancer metastasis.Cancer management and research · 2019Article
- Impact of liver tumor percutaneous radiofrequency ablation on circulating tumor cells.Oncology letters · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A wide range of serum tumor biomarkers, including CA19-9, CA242, CA72-4, CA50, and CA125, has been studied in association with colorectal cancer (CRC). However, few previous studies have comprehensively considered the above tumor biomarkers to assess their clinical significance in predicting prognosis. Data from Fudan University Shanghai Cancer Center (FUSCC) between January 1, 2007 and December 30, 2012 was retrospectively analyzed. Univariate and multivariate analyses were performed to assess the association between prognostic factors and survival outcomes. Nomograms were established based on multivariate Cox regression model analysis for overall survival (OS) and disease free survival (DFS), and c-indexes were 0.772 (95% CI: 0.724-0.820) and 0.715 (95% CI: 0.678-0.752), respectively. Subgroup analyses according to CEA status (high/normal) suggested that CA724 was the only independent prognostic factor for OS (P = 0.001) and DFS (P < 0.001) in the CEA-high group, while, in the CEA-normal group, the only independent prognostic factor for OS (P = 0.031) and DFS (P = 0.043) was CA50. CA50 and CA724 could supplement CEA in monitoring recurrence and metastasis. Accordingly, nomograms based on CEA, CA50, CA724 and other clinical-pathological factors could improve prognosis prediction for colorectal cancer patients.
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.