Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Seo YJ

PROVIDER: S-EPMC10902619 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

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

Seo Yun Ju YJ Kim Kyeong Eui KE Jeong Woon Kyung WK Baek Seong Kyu SK Bae Sung Uk SU

Annals of surgical treatment and research 20240222 3

<h4>Purpose</h4>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.<h4>Methods</h4>A retrospective analysis of 203 patients ...[more]

PMID: 38435496

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Project description:The present study aimed to further investigate the predictive value of pan-immune-inflammatory values (PIVs) in patients with non-metastatic colorectal cancer after radical surgery. Additionally, the study sought to develop a predictive scoring model to predict the survival of patients with colorectal cancer after surgery. A total of 470 non-metastatic patients who attended The Affiliated Cancer Hospital of Xinjiang Medical University (Urumqi, China) for radical colorectal cancer surgery were retrospectively collected based on specific inclusion and exclusion criteria. Patients were categorized into the Low-PIV group and the High-PIV group according to the optimal cut-off value of PIV and a survival analysis was performed. Cox regression was performed for one-way multifactorial analysis. After independent risk factors were screened, a simple score prediction model was constructed and evaluated. The study indicated that PIV was significantly associated with the T stage, Tumor-Node-Metastasis stage, differentiated degree and nerve invasion (all P<0.05). Survival tanalysis showed that patients in the Low-PIV group had a significantly higher 5-year overall survival (OS) rate compared with those in the High-PIV group (88.7 vs. 46.3%; P<0.001). Through multifactorial Cox regression analysis, N stage [hazard ratio (HR), 2.00; 95% confidence interval (CI), 1.04-3.84; P=0.039], differentiated degree (HR, 1.98; 95% CI, 1.16-3.38; P=0.012), neutrophil/lymphocyte ratio (HR, 4.00; 95% CI, 2.19-7.29; P<0.001) and PIV (HR, 4.12; 95% CI, 2.04-8.32; P<0.001) were found to be independent predictors of OS. These variables were included in a column chart to create a scoring system. The concordance index was 0.789 (95% CI, 0.746-0.832). The 1-, 3- and 5-year calibration curves for this column-line diagram demonstrated high confidence. The area under the curve of the predictive model for 1-, 3- and 5-year OS were 0.823, 0.845 and 0.845, respectively. PIV was shown to be a reliable biomarker for the prognosis of patients with non-metastatic colorectal cancer. The current simple predictive scoring model can predict the effective survival of patients following radical surgery for non-metastatic colorectal cancer and could therefore play a substantial role in clinical decision-making.

Dataset Information

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

Purpose

Methods

Results

Conclusion

Publications

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

Similar Datasets

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