Appraising non-linear association between pre-diagnostic platelet counts and cancer survival outcomes: observational and genetic analysis.

Previous studies have reported inconsistent associations between platelet count (PLT) and cancer survival. However, whether there is linear causal effect merits in-depth investigations. We conducted a cohort study using the UK Biobank and a two-sample Mendelian randomization (MR) analysis. PLT levels were measured prior to cancer diagnosis. We adopted overall survival (OS) as the primary outcome. Cox models were utilized to estimate the effects of PLTs on survival outcomes at multiple lag times for cancer diagnosis. We employed 34 genetic variants as PLT proxies for MR analysis. Linear and non-linear effects were modeled. Prognostic effects of gene expression harboring the instrumental variants were also investigated. A total of 65 471 cancer patients were included. We identified a significant association between elevated PLTs (per 100 × 109/L) and inferior OS (HR: 1.07; 95% CI: 1.04-1.10; p < .001). Similar significant associations were observed for several cancer types. We further observed a U-shaped relationship between PLTs and cancer survival (p < .001). Our MR analysis found null evidence to support a causal association between PLTs and overall cancer survival (HR: 1.000; 95% CI: 0.998-1.001; p = .678), although non-linear MR analysis unveiled a potential greater detrimental effect at lower PLT range. Expression of eleven PLT-related genes were associated with cancer survival. Early detection of escalated PLTs indicated possible occult cancer development and inferior subsequent survival outcomes. The observed associations could potentially be non-linear. However, PLT is less likely to be a promising therapeutic target.

What is the context? Previous studies have reported inconsistent associations between platelet counts (PLTs) and cancer survival. However, it is unclear whether there is a linear causal effect, as most studies measured PLTs at the time of cancer diagnosis, which could be influenced by the cancer itself.This study aimed to investigate the association and potential causality between pre-diagnostic PLTs and cancer survival outcomes using a large prospective cohort and genetic analysis.What is new? The observational cohort study found a significant association between elevated pre-diagnostic PLTs and poorer overall and cancer-specific survival. We also identified a U-shaped relationship between PLTs and cancer survival, suggesting that both high and low PLTs may be detrimental.The Mendelian randomization analysis did not support a causal effect of PLTs on overall cancer survival, although it hinted at potential non-linear effects at lower PLT ranges.The study also identified several genes (TPM4, PDIA5, PSMD13, TMCC2, ZFPM2, BAZ2A, CDKN2A, GP1BA, TAOK1, CABLES1, and THPO) related to PLTs that were associated with cancer survival.What is the impact? The findings suggest that early detection of elevated PLTs may indicate occult cancer development and poorer subsequent survival outcomes. However, PLTs are less likely to be a promising therapeutic target for improving cancer survival, as the observed associations could be influenced by confounding factors.The study highlights the need for further research into the complex relationship between PLTs and cancer prognosis, as well as the exploration of other platelet-related traits as potential drug targets.

Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative Review.

Colorectal cancer is the third most prevalent cancer worldwide, and its treatment has been a demanding clinical problem. Beyond traditional surgical therapy and chemotherapy, newly revealed molecular mechanisms diversify therapeutic approaches for colorectal cancer. However, the selection of personalized treatment among multiple treatment options has become another challenge in the era of precision medicine. Artificial intelligence has recently been increasingly investigated in the treatment of colorectal cancer. This narrative review mainly discusses the applications of artificial intelligence in the treatment of colorectal cancer patients. A comprehensive literature search was conducted in MEDLINE, EMBASE, and Web of Science to identify relevant papers, resulting in 49 articles being included. The results showed that, based on different categories of data, artificial intelligence can predict treatment outcomes and essential guidance information of traditional and novel therapies, thus enabling individualized treatment strategy selection for colorectal cancer patients. Some frequently implemented machine learning algorithms and deep learning frameworks have also been employed for long-term prognosis prediction in patients with colorectal cancer. Overall, artificial intelligence shows encouraging results in treatment strategy selection and prognosis evaluation for colorectal cancer patients.

Systemic Chemotherapy in Metastasis-Induced Acute Pancreatitis Patients With Small Cell Lung Cancer.

OBJECTIVES: Small cell lung carcinoma (SCLC) is a highly malignant tumor characterized by early metastasis even at the time of diagnosis. Although pancreatic metastasis occurring in SCLC is a common observation in the literatures, there is currently very limited experience with the metastasis-induced acute pancreatitis in SCLC patients. METHODS: Here we retrospectively analyzed patients with metastasis-induced acute pancreatitis and SCLC in West China Hospital between 2009 and 2017. The patients were diagnosed as having SCLC by bronchoscopic biopsy or computed tomography-guided percutaneous biopsy. Metastasis-induced pancreatitis was established by clinical symptoms, radiologic surveillance, serum amylase, and lipase level. The series included 14 patients, 4 women and 10 men, with a mean age of 54 years (range, 29-76 years). The patients underwent chemotherapy plus palliative treatment (n = 8) or palliative care alone (n = 6). RESULTS: Compared with patients receiving palliative treatment alone, a trend toward improved survival was observed in patients who underwent chemotherapy. CONCLUSION: Our personal experience indicated that chemotherapy might provide a survival benefit in SCLC patients with metastasis-induced pancreatitis, especially those with good performance status.