Potential biomarkers and risk assessment models to enhance the tumor-node-metastasis (TNM) staging classification of urologic cancers

Darrell, Caitlin M.; Montironi, Rodolfo; Paner, Gladell P.

doi:10.1080/14737159.2020.1816827

Cited by 2 publications

(2 citation statements)

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“…That means, if a patient with postoperative tumor staging TXN0M0 has LVI, then his survival prognosis is similar to that of a patient with postoperative tumor staging TXN1-2M0 without LVI. This suggests that simple TNM staging lacks a certain accuracy in predicting the prognosis of intermediate colorectal tumors, and some studies have also proposed the same argument 36–38. For example, A 2020 study evaluated the effect of preoperative tumor markers (TM) combined with LVI (TM-LVI) levels on relapse-free survival at different TNM stages.…”

Section: Discussionmentioning

confidence: 99%

“…This suggests that simple TNM staging lacks a certain accuracy in predicting the prognosis of intermediate colorectal tumors, and some studies have also proposed the same argument. [36][37][38] For example, A 2020 study evaluated the effect of preoperative tumor markers (TM) combined with LVI (TM-LVI) levels on relapse-free survival at different TNM stages. The c-index and Akaike's information criterion were used to select the best-matched subtypes for predicting relapse-free survival.…”

Section: Discussionmentioning

confidence: 99%

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Prognostic Analysis of Lymphovascular Invasion in Stages I–III Colorectal Cancer

Lin

Zheng

Yang

et al. 2023

American Journal of Clinical Oncology

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Introduction: Lymphovascular invasion (LVI) is a micropathological tumor factor believed to increase the risk of tumor metastasis and spread. Propensity score matching (PSM) is a statistical method that can control confounding factors. Current research rarely considers the confounding relationship between LVI and other factors that may influence prognosis. This study aimed to investigate the relationship between LVI and prognosis in patients with stage I–III colorectal cancer (CRC) by using propensity score matching (PSM). Methods: This was a retrospective study involving 610 patients. PSM was used to adjust for baseline differences between the groups. The survival rates were calculated. A nomogram was constructed based on the Cox proportional hazards model before matching. The C-index, receiver operating characteristic curve (ROC), and calibration curve were used to evaluate the nomogram. Results: A total of 150 patients tested positive for LVI, accounting for 24.6% of the total, and 120 couples of patients were identified after PSM. The survival curve and Cox proportional hazards model after matching confirmed the adverse effects of LVI on tumor prognosis. The Cox proportional hazards model before matching showed that age, carcinoembryonic antigen level, T stage, N stage, histologic grade and LVI were independent prognostic factors. The C-index of the nomogram established based on the Cox proportional hazards model was 0.787 (95% CI=0.728–0.845). The areas under the curve were 0.796 in the 3-year ROC. Conclusions: LVI is an adverse prognostic factor in patients with stage I-III colorectal cancer.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%