Stage III should be subclassified into Stage IIIA and IIIB in the American Joint Committee on Cancer (8th Edition) staging system for pancreatic cancer

Home Care Use and Out-of-Hospital Death in Pancreatic Cancer Patients: A Retrospective Cohort Study

Objective: This study aimed to determine the factors associated with usage of home care, including palliative home care, in patients with pancreatic cancer in Ontario. In addition, this study attempted to investigate factors associated with early-onset palliative home care as well as the impact of home care services on survival and out-of-hospital death. Methods: The Ontario Cancer Registry (OCR) was used to identify and capture basic patient/cancer characteristics of index cases of pancreatic cancer diagnosed between April first, 2010 and March 31st, 2016. Patients that received home care were identified using the Home Care Database (HCD) and stratified into general, transition-to-palliative, and early-onset palliative home care. Logistic regressions were used to describe determinants of home care use and determinants of out-of-hospital death. Results: A total of 6888 pancreatic cancer patients met eligibility criteria for this study. A high proportion of patients (83.7%) received home care, including palliative home care (56.8%). In general, older patients (OR = 3.07) and those with more advanced malignancy (OR = 4.98) for stage 4 versus stage 1) had greater odds of receiving palliative home care. Patients receiving home care (P < .01) and those residing in rural regions (P < .01) had greater odds of out-of-hospital death. Conclusion: A large proportion of patients with pancreatic cancer are directed to home care and those that do are more likely to die outside of hospital. Age and stage at diagnosis are significant predictors of home care use. Differences exist in the healthcare experience of patients depending on if they receive home care services and the type of home care.

A DNA-Methylation-Driven Genes Based Prognostic Signature Reveals Immune Microenvironment in Pancreatic Cancer

Pancreatic cancer (PACA), which is characterized by an immunosuppressive nature, remains one of the deadliest malignancies worldwide. Aberrant DNA methylation (DNAm) reportedly influences tumor immune microenvironment. Here, we evaluated the role of DNA methylation driven genes (MDGs) in PACA through integrative analyses of epigenomic, transcriptomic, genomic and clinicopathological data obtained from TCGA, ICGC, ArrayExpress and GEO databases. Thereafter, we established a four-MDG signature, comprising GPRC5A, SOWAHC, S100A14, and ARNTL2. High signature risk-scores were associated with poor histologic grades and late TNM stages. Survival analyses showed the signature had a significant predictive effect on OS. WGCNA revealed that the signature may be associated with immune system, while high risk-scores might reflect immune dysregulation. Furthermore, GSEA and GSVA revealed significant enrichment of p53 pathway and mismatch repair pathways in high risk-score subgroups. Immune infiltration analysis showed that CD8+ T cells were more abundant in low score subgroups, while M0 macrophages exhibited an opposite trend. Moreover, negative regulatory genes of cancer-immunity cycle (CIC) illustrated that immunosuppressors TGFB1, VEGFA, and CD274 (PDL1) were all positively correlated with risk-scores. Furthermore, the four signature genes were negatively correlated with CD8+ lymphocytes, but positively associated with myeloid derived suppressor cells (MDSC). Conversely, specimens with high risk-scores exhibited heavier tumor mutation burdens (TMB) and might show better responses to some chemotherapy and targeted drugs, which would benefit stratification of PACA patients. On the other hand, we investigated the corresponding proteins of the four MDGs using paraffin-embedded PACA samples collected from patients who underwent radical surgery in our center and found that all these four proteins were elevated in cancerous tissues and might serve as prognostic markers for PACA patients, high expression levels indicated poor prognosis. In conclusion, we successfully established a four-MDG-based prognostic signature for PACA patients. We envisage that this signature will help in evaluation of intratumoral immune texture and enable identification of novel stratification biomarkers for precision therapies.

Distinct Survival Outcomes in Subgroups of Stage III Pancreatic Cancer Patients: Taiwan Cancer Registry and Surveillance, Epidemiology and End Results registry

Purpose

Pancreatic cancer is one of the most malignant cancers with poor survival. The latest edition of the American Joint Committee on Cancer (AJCC) staging system classifies the majority of operable pancreatic cancer patients as stage-III, while dramatic heterogeneity is observed among these patients. Therefore, subgrouping is required to accurately predict their prognosis and define a treatment plan. This study conducts a cohort study to provide a more precise classification system for stage-III pancreatic cancer patients by utilizing clinical variables.

Methods

We analyzed survival using log-rank tests, univariate Cox-regression models, and Kaplan-Meier survival curves for stage-III pancreatic ductal adenocarcinoma (PDAC) patients from the Taiwan Cancer Registry (TCR). Patients were further divided into subgroups using classification and regression tree (CART) algorithm. All results were validated using the SEER database.

Results

Among stage-III PDAC patients, lymph node and tumor grade showed significant association with survival. Patients with N2 stage had higher mortality risks (hazard ratio [HR] = 2.30, 95% confidence interval [CI] 1.71–3.08, p < 0.0001) than N0 patients. Patients with grade 3 also had higher risk of mortality (HR = 3.80, 95% CI 2.25–6.39, p < 0.0001) than grade 1 patients. The CART algorithm stratified stage-III patients into four subgroups with significantly different survival rates. The median survival of the four subgroups was 23.5, 18.4, 14.5, and 9.0 months, respectively (p < 0.0001). Similar results were observed with SEER data.

Conclusions

Lymph node involvement and tumor grade are predictive factors for survival in stage-III PDAC patients. This new precise classification system can be used to guide treatment planning in advanced-stage pancreatic cancer.

Supplementary Information

The online version contains supplementary material available at 10.1245/s10434-021-11030-w.

The 8th Edition American Joint Committee on Cancer Staging for Hepato-pancreato-biliary Cancer: A Review and Update

CONTEXT.—

Cancer staging provides critical information for patients and treating physicians to battle against cancer, predict prognosis, and guide treatment decisions. The American Joint Committee on Cancer (AJCC) staging system uses a tumor, node, metastasis (TNM) scoring algorithm and is the foremost classification system for adult cancers. This system is updated every 6 to 8 years to allow sufficient time for implementation of changes and for relevant examination and discussion of data validating those changes in staging.

OBJECTIVE.—

To review the updates in the 8th edition American Joint Committee on Cancer staging system on hepato-pancreato-biliary cancer.

DATA SOURCES.—

Literature review.

CONCLUSIONS.—

The 8th edition, published in 2016 and implemented on January 1, 2018, has been in use for approximately 3 years. Compared with the 7th edition, some of the changes are quite radical. This review aims to provide a summary of the changes/updates of the 8th edition with focus on hepato-pancreato-biliary cancers, and evaluate its performance through literature review.

Optimized modification of the eighth edition of AJCC TNM staging system for resected pancreatic ductal adenocarcinoma

Aim: To reassess the prognostic performance of the American Joint Committee on Cancer (AJCC) 8th edition for pancreatic ductal adenocarcinoma (PDAC) and optimize the categorization of PDAC staging. Patients & methods: A total of 11,858 patients with resected PDAC from the Surveillance, Epidemiology and End Results database were retrospectively enrolled by sequential analyses. Results: There was no statistical significance between stage IIA and IIB tumors with hazard ratios of 2.065 and 2.184 (p = 0.620) for stages IIA and IIB, respectively. With the proposed modification, there was a significant difference between the hazard ratios of stages IIIA and IIIB which were 2.481 and 2.715, respectively (p = 0.009). The C-index of modified system was 0.609, slightly higher than AJCC 8th staging system 0.604. Conclusion: We proposed a modified eighth edition of the AJCC staging system by combining stage IIA with IIB and further subclassifying stage III patients in order to lead to better discriminative power.