Platelet infiltration predicts survival in postsurgical colorectal cancer patients

Miao, Yiming; Xu, Zifeng; Feng, Wenqing; Zheng, Min; Xu, Zhuoqing; Gao, Han; Li, Wenchang; Zhang, Yuchen; Zong, Yaping; Liu, Aiguo; Zhao, Jingkun

doi:10.1002/ijc.33816

Cited by 19 publications

(14 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was also reported by [ 40 , 50 ]. Surprisingly, other potentially significant factors, such as Duke’s stage, tumour stage, tumour grading, tumour location, and tumour histology, which were believed to influence the relationships between response to treatment and survival time of CRC, were not shown by the present study as decisive prognostic factors, and similar results were reported by [ 51 , 52 ]. This was contrary to some pre-existing findings that uphold this former fact [ 30 , 45 , 53 ]; they revealed that, regarding tumour location, patients with CRC located in the colon have a better survival estimate than those with cancer located in the rectum, while CRC patients with an advanced pathological tumour stage, such as stage 4 or Duke D, or poor tumour grade have poor survival outcomes.…”

Section: Discussionsupporting

confidence: 84%

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study

et al. 2022

View full text Add to dashboard Cite

Colorectal carcinoma (CRC) is rising exponentially in Asia, representing 11% of cancer worldwide. This study analysed the influence of CRC on patients’ life expectancy (survival and prognosis factors) via clinicopathology data and comorbidity status of CRC patients. Methodology: A retrospective study performed in HUSM using clinical data from the Surgery unit from 2015 to 2020. The demographic and pertinent clinical data were retrieved for preliminary analyses (data cleansing and exploration). Demographics and pathological characteristics were illustrated using descriptive analysis; 5-year survival rates were calculated using Kaplan–Meier methods; potential prognostic variables were analysed using simple and multivariate logistic regression analysis conducted via the Cox proportional hazards model, while the Charlson Comorbidity Scale was used to categorize patients’ disease status. Results: Of a total of 114 CRC patients, two-thirds (89.5%) were from Malay tribes, while Indian and Chinese had 5.3% each. The 50–69.9 years were the most affected group (45.6%). Overall, 40.4% were smokers (majorly male (95.7%)), 14.0% ex-smokers, and 45.6% non-smokers (p-value = 0.001). The Kaplan–Meier overall 5-year median survival time was 62.5%. From the outcomes, patients who were male and >70 years had metastasis present, who presented with per rectal bleeding and were classified as Duke C; and who has tumour in the rectum had the lowest survival rate. Regarding the prognosis factors investigated, “Gender” (adjusted hazard ratio (HR): 2.62; 95% CI: 1.56–7.81, p-value = 0.040), “Presence of metastases” (HR: 3.76; 95% CI: 1.89–7.32, p-value = 0.010), “Metastasis site: Liver” (HR: 5.04; 95% CI: 1.71–19.05, p-value = 0.039), “Lymphovascular permeation” (HR: 2.94; 95% CI: 1.99–5.92, p-value = 0.021), and “CEA-level” (HR: 2.43; 95% CI: 1.49–5.80, p-value = 0.001) remained significant in the final model for multiple Cox proportional hazard regression analyses. There was a significant mean association between tumour grades and the patient’s comorbidity status. Conclusions: Histopathological factors (gender, metastases presence, site of metastases, CEA level, and lymphovascular permeation) showed the best prognosis-predicting factors in CRC.

show abstract

Section: Discussionsupporting

confidence: 84%

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study

et al. 2022

View full text Add to dashboard Cite

show abstract

“…T cells, B cells, and NK cells can kill tumor cells after activation, and when lymphocyte levels decrease, tumor cells can proliferate and metastasize rapidly ( 13 ), and immune function declines at this time, and the incidence of postoperative infectious complications increases. Platelets are small pieces of cytoplasm that fall off from the cytoplasm of mature megakaryocytes in the bone marrow, and are involved in the development of tumors, including tumor growth, tumor cell extravasation, and tumor metastasis ( 13 - 15 ), which can inhibit the apoptosis of tumor cells and maintain the integrity of tumor blood vessels.…”

Section: Discussionmentioning

confidence: 99%

Effect of the systemic immune-inflammation index on postoperative complications and the long-term prognosis of patients with colorectal cancer: a retrospective cohort study

Feng¹,

Xu²,

Lin³

et al. 2022

J Gastrointest Oncol

View full text Add to dashboard Cite

Background: Colorectal cancer (CRC) is one of the most common malignant tumors of the digestive tract. Surgery is the main way to cure CRC, but the postoperative complication rate and recurrence rate remain high. The systemic immune-inflammation (SII) index reflects a patient's systemic inflammatory state and immune state. Postoperative recurrence and the occurrence of complications are closely related to the inflammatory state and immune state. Thus, the SII index may have some value in predicting postoperative complications and the long-term prognosis of CRC patients, but relevant studies are currently lacking. The present study sought to examine the effect of the SII index on the postoperative complications and long-term prognosis of patients with CRC.Methods: From January 2014 to January 2017, the data of 440 patients with CRC who had been admitted to the Affiliated Hospital of Guangdong Medical University were retrospectively collected, and the patients were equally divided into the high and the low SII groups according to their preoperative SII index levels.The postoperative complication rate and postoperative progression-free survival (PFS) and mortality between the 2 groups were compared.Results: Compared to the low SII group, the incidence of postoperative infection in the high SII group was significantly increased (15.45% vs. 9.09%, P=0.042), mortality was significantly increased at 5 years postoperatively (20.91% vs. 7.27%, P<0.001), and PFS was significantly shortened (P<0.001). The SII index had certain predictive value for postoperative infection in CRC patients, and the area under the curve (AUC) was 0.645 [95% confidence interval (CI): 0.559-0.731, P=0.001]. The SII index also had certain predictive value for the progression of CRC patients within 5 years of surgery, and the AUC was 0.670 (95% CI: 0.610-0.729, P<0.001). Additionally, the SII index had certain predictive value for death within 5 years of surgery in patients with CRC, and the AUC was 0.660 (95% CI: 0.593-0.726, P<0.001). CRC patients with postoperative infection had a significantly shorter PFS period than those who did not develop postoperative infection (P=0.029). Conclusions:The SII index has certain predictive value for the diagnosis of postoperative infectious complications and the long-term prognosis of CRC patients.

show abstract

“…Recently, increased stromal expression of platelet marker CD42b in resectable CRC tumors was associated with poor patient survival [ 45 ]. Considering blood-based diagnostics, elevated serum platelet counts and platelet activation cytokine profiles were observed in breast cancer patients with stroma-high tumors in comparison to stroma-low tumors [ 46 ].…”

Section: Discussionmentioning

confidence: 99%

The Stroma Liquid Biopsy Panel Contains a Stromal-Epithelial Gene Signature Ratio That Is Associated with the Histologic Tumor-Stroma Ratio and Predicts Survival in Colon Cancer

Ravensbergen

Kuruc²,

Polack

et al. 2021

Cancers

View full text Add to dashboard Cite

Liquid biopsy has emerged as a novel approach to tumor characterization, offering advantages in sample accessibility and tissue heterogeneity. However, as mutational analysis predominates, the tumor microenvironment has largely remained unacknowledged in liquid biopsy research. The current work provides an explorative transcriptomic characterization of the Stroma Liquid BiopsyTM (SLB) proteomics panel in colon carcinoma by integrating single-cell and bulk transcriptomics data from publicly available repositories. Expression of SLB genes was significantly enriched in tumors with high histologic stromal content in comparison to tumors with low stromal content (median enrichment score 0.308 vs. 0.222, p = 0.036). In addition, we identified stromal-specific and epithelial-specific expression of the SLB genes, that was subsequently integrated into a gene signature ratio. The stromal-epithelial signature ratio was found to have prognostic significance in a discovery cohort of 359 colon adenocarcinoma patients (OS HR 2.581, 95%CI 1.567–4.251, p < 0.001) and a validation cohort of 229 patients (OS HR 2.590, 95%CI 1.659–4.043, p < 0.001). The framework described here provides transcriptomic evidence for the prognostic significance of the SLB panel constituents in colon carcinoma. Plasma protein levels of the SLB panel may reflect histologic intratumoral stromal content, a poor prognostic tumor characteristic, and hence provide valuable prognostic information in liquid biopsy.

show abstract

Platelet infiltration predicts survival in postsurgical colorectal cancer patients

Cited by 19 publications

References 29 publications

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study

The Prediction of Survival Outcome and Prognosis Factor in Association with Comorbidity Status in Patients with Colorectal Cancer: A Research-Based Study

Effect of the systemic immune-inflammation index on postoperative complications and the long-term prognosis of patients with colorectal cancer: a retrospective cohort study

The Stroma Liquid Biopsy Panel Contains a Stromal-Epithelial Gene Signature Ratio That Is Associated with the Histologic Tumor-Stroma Ratio and Predicts Survival in Colon Cancer

Contact Info

Product

Resources

About