Impact of Lymphovascular Invasion in Patients With Stage II Colorectal Cancer: A Propensity Score-matched Study

qRT-PCR analysis of CEACAM5, KLK6, SLC35D3, MUC2 and POSTN in colon cancer lymph nodes-An improved method for assessment of tumor stage and prognosis

One fourth of colorectal cancer patients having curative surgery will relapse of which the majority will die. Lymph node (LN) metastasis is the single most important prognostic factor and a key factor when deciding on postoperative treatment. Presently, LN metastases are identified by histopathological examination, a subjective method analyzing only a small LN volume and giving no information on tumor aggressiveness. To better identify patients at risk of relapse we constructed a qRT-PCR test, ColoNode, that determines levels of CEACAM5, KLK6, SLC35D3, MUC2 and POSTN mRNAs. Combined these biomarkers estimate the tumor cell load and aggressiveness allocating patients to risk categories with low (0, -1), medium (1), high (2) and very high (3) risk of recurrence. Here we present result of a prospective, national multicenter study including 196 colon cancer patients from 8 hospitals. On average, 21 LNs/patient, totally 4698 LNs, were examined by both histopathology and ColoNode. At 3-year follow-up, 36 patients had died from colon cancer or lived with recurrence. ColoNode identified all patients that were identified by histopathology and in addition 9 patients who were undetected by histopathology. Thus, 25% of the patients who recurred were identified by ColoNode only. Multivariate Cox regression analysis proved ColoNode (1, 2, 3 vs 0, -1) as a highly significant risk factor with HR 4.24 [95% confidence interval, 1.42-12.69, P = .01], while pTN-stage (III vs I/II) lost its univariate significance. In conclusion, ColoNode surpassed histopathology by identifying a significantly larger number of patients with future relapse and will be a valuable tool for decisions on postoperative treatment.

Prognostic Analysis of Lymphovascular Invasion in Stages I-III Colorectal Cancer: A Retrospective Study Based on Propensity Score Match

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.

Risk factors for postoperative recurrence in patients with stage II colorectal cancer

BACKGROUND

Recurrences are the main reasons for unfavorable outcomes for patients with stage II colorectal cancer (CRC). To obtain a clear understanding of the high-risk factors, further investigation is warranted. The present study aimed to analyze the risk factors associated with postoperative recurrence in patients with stage II CRC.

METHODS

Eligible patients with pathologically confirmed stage II CRC were enrolled in the study retrospectively based on a prospectively maintained database from April 2008 to March 2019. The Kaplan-Meier method were used to calculate the overall survival (OS) rate and the cumulative recurrence rate. Univariate and multivariable Cox regression analyses were performed to identify risk factors for recurrence.

RESULTS

There were 2515 patients included, of whom 233 (9.3%) developed local or distant recurrence. Recurrence was associated with a significantly worse 5-year OS (45.4% vs. 95.5%, p < 0.0001). The 5-year cumulative recurrence rate was 13.0% in patients with stage II CRC. On multivariable Cox analysis, tumor size (Hazard Ratio (HR) [95% confidence interval (CI)] = 1.79[1.38, 2.33]), preoperative carbohydrate antigen (CA) 125 level (HR [95% CI] = 1.78[1.17, 2.70]), preoperative CA 199 level (HR [95% CI] = 1.56[1.09, 2.22]), and ulcerating tumor (HR [95% CI] = 1.61[1.19, 2.17]) were found to be associated with postoperative recurrence. Adjuvant chemotherapy was associated with a lower cumulative recurrence rate in patients with these risk factors (p = 0.00096).

CONCLUSION

The tumor diameter, preoperative CA125 level, preoperative CA199 level, and an ulcerative tumor can predict postoperative recurrence in patients with stage II CRC, and postoperative chemotherapy could reduce the cumulative recurrence rate in patients with these high-risk factors.

Computed tomography-based radiomics for predicting lymphovascular invasion in rectal cancer

PURPOSE

To develop and externally validate a computed tomography (CT)-based radiomics model for predicting lymphovascular invasion (LVI) before treatment in patients with rectal cancer (RC).

METHOD

This retrospective study enrolled 351 patients with RC from three hospitals between March 2018 and March 2021. These patients were assigned to one of the following three groups: training set (n = 239, from hospital 1), internal validation set (n = 60, from hospital 1), and external validation set (n = 52, from hospitals 2 and 3). Large amounts of radiomics features were extracted from the intratumoral and peritumoral regions in the portal venous phase contrast-enhanced CT images. The score of radiomics features (Rad-score) was calculated by performing logistic regression analysis following the L1-based method. A combined model (Rad-score + clinical factors) was developed in the training cohort and validated internally and externally. The models were compared using the area under the receiver operating characteristic curve (AUC).

RESULTS

Of the 351 patients, 106 (30.2%) had an LVI + tumor. Rad-score (comprised of 22 features) was significantly higher in the LVI + group than in the LVI- group (0.60 ± 0.17 vs. 0.42 ± 0.19, P = 0.001). The combined model obtained good predictive performance in the training cohort (AUC = 0.813 [95% CI: 0.758-0.861]), with robust results in internal and external validations (AUC = 0.843 [95% CI: 0.726-0.924] and 0.807 [95% CI: 0.674-0.903]).

CONCLUSIONS

The proposed combined model demonstrated the potential to predict LVI preoperatively in patients with RC.