Glasgow prognostic score and combined positive score for locally advanced rectal cancer

Effect of preoperative pan-immune-inflammation value on clinical and oncologic outcomes after colorectal cancer surgery: a retrospective study

Purpose

Surgical resection, the primary treatment for colorectal cancer (CRC), is often linked with postoperative complications that adversely affect the overall survival rates (OS). The pan-immune-inflammation value (PIV), a novel biomarker, is promising in evaluating cancer prognoses. We aimed to explore the impact of preoperative immune inflammation status on postoperative and long-term oncological outcomes in patients with CRC.

Methods

A retrospective analysis of 203 patients with CRC who underwent surgery (January 2016-June 2020) was conducted. The preoperative PIV was calculated as [(neutrophil count + platelet count + monocyte count) / lymphocyte counts]. The PIV optimal cutoff value was determined based on the OS using the Contal and O'Quigley methods.

Results

A PIV value ≥155.90 was defined as high. Patients were categorized into low-PIV (n = 85) and high-PIV (n = 118) groups. Perioperative clinical outcomes (total operation time, time to gas out, sips of water, soft diet, and hospital stay) were not significantly different between the groups. The high-PIV group exhibited more postoperative complications (P = 0.024), and larger tumor size compared with the low-PIV group. Multivariate analysis identified that American Society of Anesthesiologists grade III (P = 0.046) and high-PIV (P = 0.049) were significantly associated with postoperative complications. The low-PIV group demonstrated higher OS (P = 0.001) and disease-free survival rates (DFS) (P = 0.021) compared with the high-PIV group. Advanced N stage (P = 0.005) and high-PIV levels (P = 0.047) were the identified independent prognostic factors for OS, whereas advanced N stage (P = 0.045) was an independent prognostic factor for DFS.

Conclusion

Elevated preoperative PIV was associated with an increased incidence of postoperative complications and served as an independent prognostic factor for OS.

Machine-Learning Algorithms Using Systemic Inflammatory Markers to Predict the Oncologic Outcomes of Colorectal Cancer After Surgery

BACKGROUND

This study aimed to investigate the clinical significance of machine-learning (ML) algorithms based on serum inflammatory markers to predict survival outcomes for patients with colorectal cancer (CRC).

METHODS

The study included 941 patients with stages I to III CRC. Based on random forest algorithms using 15 compositions of inflammatory markers, four different prediction scores (DFS score-1, DFS score-2, DFS score-3, and DFS score-4) were developed for the Yonsei cohort (training set, n = 803) and tested in the Ulsan cohort (test set, n = 138). The Cox proportional hazards model was used to determine correlation between prediction scores and disease-free survival (DFS). Harrell's concordance index (C-index) was used to compare the predictive ability of prediction scores for each composition.

RESULTS

The multivariable analysis showed the DFS score-4 to be an independent prognostic factor after adjustment for clinicopathologic factors in both the training and test sets (hazard ratio [HR], 8.98; 95% confidence interval [CI] 6.7-12.04; P < 0.001 for the training set and HR, 2.55; 95% CI 1.1-5.89; P = 0.028 for the test set]. With regard to DFS, the highest C-index among single compositions was observed in the lymphocyte-to-C-reactive protein ratio (LCR) (0.659; 95% CI 0.656-0.662), and the C-index of DFS score-4 (0.727; 95% CI 0.724-0.729) was significantly higher than that of LCR in the test set. The C-index of DFS score-3 (0.725; 95% CI 0.723-0.728) was similar to that of DFS score-4, but higher than that of DFS score-2 (0.680; 95% CI 0.676-0.683).

CONCLUSIONS

The ML-based approaches showed prognostic utility in predicting DFS. They could enhance clinical use of inflammatory markers in patients with CRC.

Clinical Significance of Combining Preoperative and Postoperative Albumin-Bilirubin Score in Colorectal Cancer

PURPOSE

Albumin-bilirubin (ALBI) score is a well-known prognostic factor for various diseases, including colorectal cancer (CRC). However, little is known about the significance of postoperative ALBI score changes in patients with CRC.

MATERIALS AND METHODS

A total of 723 patients who underwent surgery were enrolled. Preoperative ALBI (ALBI-pre) and postoperative ALBI (ALBI-post) scores were divided into low and high score groups. ALBI-trend was defined as a combination of four groups comprising the low and high ALBI-pre and ALBI-post score groups. Kaplan-Meier survival curves were used to compare the overall survival (OS) between the different ALBI groups. The Cox proportional hazards model was used to examine the independent relevant factors of OS. Stratification performance was compared between the different ALBI groupings using Harrell's concordance index (C-index).

RESULTS

ALBI-pre, ALBI-post, and ALBI-trend score groups were significant prognostic factors of OS in the univariable analysis. However, multivariable analysis showed that ALBI-trend was an independent prognostic factor while ALBI-pre and ALBI-post were not. The C-index of ALBI-trend (0.622; 95% confidence interval [CI], 0.587 to 0.655) was higher than that of ALBI-pre (0.589; 95% CI, 0.557 to 0.621; bootstrap mean difference, 0.033; 95% CI, 0.013 to 0.057) and ALBI-post (0.575; 95% CI, 0.545 to 0.605; bootstrap mean difference, 0.047; 95% CI, 0.024 to 0.074).

CONCLUSION

Combining ALBI-pre and ALBI-post scores is an independent prognostic factor of OS and shows superior predictive power compared to ALBI-pre or ALBI-post alone in patients with CRC.

Neoadjuvant chemoradiotherapy determines the prognostic impact of anastomotic leakage in advanced rectal cancer

Purpose

The prognostic impact of anastomotic leakage (AL) in rectal cancer remains uncertain. We investigated the prognostic significance of AL in rectal cancer patients who underwent curative surgery, especially in terms of chemoradiotherapy.

Methods

A total of 1,818 rectal cancer patients who underwent radical surgery from 2011 to 2015 were retrospectively evaluated. We categorized patients according to AL and compared survival outcomes between the groups before and after matching. In locally advanced rectal cancer patients, we classified patients according to neoadjuvant chemoradiotherapy (nCRT) or adjuvant chemotherapy (aCTx) and analyzed survival outcomes according to AL in each group.

Results

Before matching, overall survival (OS) was significantly worse in the AL (+) group compared to the AL (–) group (P = 0.004). In matched patients, there were no differences in disease-free survival (DFS) and OS between groups (P = 0.423 and P = 0.083, respectively). In subgroup analysis for locally advanced rectal cancer, patients were classified as follows: nCRT (+) and aCTx (+) group; nCRT (+) and aCTx (–) group; nCRT (–) and aCTx (+) group; and nCRT (–) and aCTx (–) group. In the nCRT (–) and aCTx (+) group, patients with AL exhibited significantly worse DFS than patients without AL (P = 0.040). In the other 3 groups, there were no differences in DFS according to AL.

Conclusion

In locally advanced rectal cancer, AL had an adverse effect on oncologic outcome in patients receiving aCTx without nCRT but not in patients receiving nCRT.