scholarly journals Identification and Validation of Immune Molecular Subtypes in Pancreatic Ductal Adenocarcinoma: Implications for Prognosis and Immunotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Ruiyu Li ◽  
Yangzhige He ◽  
Hui Zhang ◽  
Jing Wang ◽  
Xiaoding Liu ◽  
...  

BackgroundPancreatic ductal adenocarcinoma (PDAC) remains treatment refractory. Immunotherapy has achieved success in the treatment of multiple malignancies. However, the efficacy of immunotherapy in PDAC is limited by a lack of promising biomarkers. In this research, we aimed to identify robust immune molecular subtypes of PDAC to facilitate prognosis prediction and patient selection for immunotherapy.MethodsA training cohort of 149 PDAC samples from The Cancer Genome Atlas (TCGA) with mRNA expression data was analyzed. By means of non-negative matrix factorization (NMF), we virtually dissected the immune-related signals from bulk gene expression data. Detailed immunogenomic and survival analyses of the immune molecular subtypes were conducted to determine their biological and clinical relevance. Validation was performed in five independent datasets on a total of 615 samples.ResultsApproximately 31% of PDAC samples (46/149) had higher immune cell infiltration, more active immune cytolytic activity, higher activation of the interferon pathway, a higher tumor mutational burden (TMB), and fewer copy number alterations (CNAs) than the other samples (all P < 0.001). This new molecular subtype was named Immune Class, which served as an independent favorable prognostic factor for overall survival (hazard ratio, 0.56; 95% confidence interval, 0.33-0.97). Immune Class in cooperation with previously reported tumor and stroma classifications had a cumulative effect on PDAC prognostic stratification. Moreover, programmed cell death-1 (PD-1) inhibitors showed potential efficacy for Immune Class (P = 0.04). The robustness of our immune molecular subtypes was further verified in the validation cohort.ConclusionsBy capturing immune-related signals in the PDAC tumor microenvironment, we reveal a novel molecular subtype, Immune Class. Immune Class serves as an independent favorable prognostic factor for overall survival in PDAC patients.

2019 ◽  
Author(s):  
Georgios Kaissis ◽  
Sebastian Ziegelmayer ◽  
Fabian Lohöfer ◽  
Katja Steiger ◽  
Hana Algül ◽  
...  

AbstractPurposeDevelopment of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.MethodsThe retrospective observational study assessed 55 surgical PDAC patients. Molecular subtypes were defined by immunohistochemical staining of KRT81. Tumors were manually segmented and 1606 radiomic features were extracted withPyRadiomics. A gradient-boosted-tree algorithm (XGBoost) was trained on 70% of the patients (N=28) and tested on 30% (N=17) to predict KRT81+ vs. KRT81-tumor subtypes. The average sensitivity, specificity and ROC-AUC value were calculated. Chemotherapy response was assessed stratified by subtype. Radiomic feature importance was ranked.ResultsThe mean±STDEV sensitivity, specificity and ROC-AUC were 0.90±0.07, 0.92±0.11, and 0.93±0.07, respectively. Patients with a KRT81+ subtype experienced significantly diminished median overall survival compared to KRT81-patients (7.0 vs. 22.6 months, HR 1.44, log-rank-test P=<0.001) and a significantly improved response to gemcitabine-based chemotherapy over FOLFIRINOX (10.14 vs. 3.8 months median overall survival, HR 0.85, P=0.037) compared to KRT81-patients, who responded significantly better to FOLFIRINOX over gemcitabine-based treatment (30.8 vs. 13.4 months median overall survival, HR 0.88, P=0.027).ConclusionsThe machine-learning based analysis of radiomic features enables the prediction of subtypes of PDAC, which are highly relevant for overall patient survival and response to chemotherapy.


2021 ◽  
Vol 10 ◽  
Author(s):  
Rong Liu ◽  
Ya-Zhou Liao ◽  
Wei Zhang ◽  
Hong-Hao Zhou

PurposePancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with high heterogeneity and dismal survival rates. Tumor immune microenvironment plays a critical role in sensitive to chemotherapy and prognosis. Herein, we determined the relevance of the composition of tumor-infiltrating immune cells to clinical outcomes in PDACs, and we evaluated these effects by molecular subtype.Experimental DesignData of 1,274 samples from publically available datasets were collected. Molecular subtypes were predicted with support vector machine. Twenty-two subsets of immune cells were estimated with CIBERSORTx. The associations between each cell subset and overall survival (OS), relapse free survival (RFS), and complete response (CR) to chemotherapy were evaluated, modelling cellular proportions as quartiles.ResultsAn immune-related cluster was identified with unsupervised hierarchical clustering of hallmark pathways. Of the immune cells investigated, M0 macrophages emerged as closely associated with worse OS (HR =1.23, 95% CI = 1.15–1.31, p=1.57×10-9) and RFS (HR = 1.14, 95% CI =1.04–1.25, p=2.93×10-3), regardless of molecular subtypes. The CD8+ T cells conferred favorable survival. The neutrophils conferred poor OS overall (HR=1.17, 95% CI=1.10–1.23, p=1.74×10-7) and within the classical subtype. In the basal-like subtype, activated mast cells were associated with worse OS. Consensus clustering revealed six immune subgroups with distinct survival patterns and CR rates. The higher expression of PD1 was associated with better OS.ConclusionsThe immune cellular composition infiltrate in PDAC are likely to have effects on prognosis. Further exploration of the cellular immune response has the potential to identify candidates for immunotherapy.


Genes ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1375
Author(s):  
Wei Song ◽  
Jun Ren ◽  
Wenzheng Yuan ◽  
Rensheng Xiang ◽  
Yuhang Ge ◽  
...  

Background: The N6-methyladenosine (m6A) RNA modification can modify long non-coding RNAs (lncRNAs), thereby affecting the tumorigenesis and progression of tumors. However, the underlying role of m6A-modified lncRNAs in colorectal cancer (CRC) remains largely unknown. Therefore, our aim was to assess the prognostic value of m6A-modified lncRNAs in CRC patients. Methods: The gene expression and clinicopathological data of CRC were extracted from The Cancer Genome Atlas (TCGA) database. Pearson correlation analysis was used to investigate the m6A-modified lncRNAs. Consensus clustering was conducted to identify molecular subtypes of CRC, and the clinical significance of molecular subtypes was identified. The least absolute shrinkage and selection operator analysis (LASSO) was applied to establish a risk signature. Finally, a prognostic nomogram with risk score and clinicopathological variables was established. Results: In total, 29 m6A-modified lncRNAs were identified as prognostic lncRNAs. Two molecular clusters were identified and significant differences were found with respect to clinicopathological features and prognosis. Cluster1 is associated with poor overall survival (OS), down-regulation of Programmed cell death ligand-1 (PD-L1) expression, lower immune score, and less immune cell infiltration. Then, an m6A-modified lncRNA signature for predicting OS was constructed in the TCGA training cohort. The signature demonstrated favorable prediction performance in both training and validation sets. Compared with low-risk patients, patients with high risk showed worse clinical outcomes, lower immune scores, and downregulated PD-L1 expression. Further analysis indicated that the signature was an independent prognostic indicator, and then a prognostic nomogram based on risk score, tumor location, and tumor stage was established. Conclusions: Our study identified a seven m6A-modified lncRNA signature and established a prognostic nomogram that reliably predicts OS in CRC. These findings may improve the understanding of m6A modifications in CRC and provide insights into the prognosis and treatment strategy of CRC.


2020 ◽  
Vol 28 (11) ◽  
pp. 5271-5279 ◽  
Author(s):  
Shuichi Mitsunaga ◽  
Eiji Kasamatsu ◽  
Koji Machii

Abstract Purpose Cachexia influences the patient’s physical wellbeing and quality of life, and the patient’s ability to tolerate their cancer therapies, especially cytotoxic chemotherapy. The purpose of this study was to investigate the frequency and timing of onset of cancer cachexia during chemotherapy and its association with prognosis and toxicity in patients with pancreatic ductal adenocarcinoma (PDAC). Methods We performed a retrospective study in patients who underwent first-line chemotherapy after diagnosis of advanced PDAC between 6 June 2008 and 31 March 2017. Base cachexia (weight loss up to 6 months before starting first-line chemotherapy) and follow-up cachexia (after starting first-line chemotherapy) were defined as weight loss > 2% with a body mass index (BMI) < 20 kg/m2 or weight loss > 5%. Results A total of 150 patients were registered. The median age and BMI were 65 years and 21.7 kg/m2, respectively. Base cachexia occurred in 50% of patients. Follow-up cachexia occurred in 32% within 12 weeks of starting first-line chemotherapy, reaching 64% at 1 year. Overall survival was not significantly different between patients with and without follow-up cachexia, regardless of whether cancer cachexia occurred within 12, 24, or 48 weeks of starting first-line treatment. Appetite loss, fatigue, nausea, and diarrhea were more frequent in patients with follow-up cachexia than in those without follow-up cachexia. Conclusion Follow-up cachexia had an early onset, but was not a prognostic factor for overall survival in patients with PDAC. Some adverse events tended to be more frequent in patients with follow-up cachexia than in those without follow-up cachexia.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Ritu Pandey ◽  
Muhan Zhou ◽  
Shariful Islam ◽  
Baowei Chen ◽  
Natalie K Barker ◽  
...  

AbstractWe investigated biomarker CEACAM6, a highly abundant cell surface adhesion receptor that modulates the extracellular matrix (ECM) in pancreatic ductal adenocarcinoma (PDA). The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) RNA-Seq data from PDA patients were analyzed for CEACAM6 expression and evaluated for overall survival, association, enrichment and correlations. A CRISPR/Cas9 Knockout (KO) of CEACAM6 in PDA cell line for quantitative proteomics, mitochondrial bioenergetics and tumor growth in mice were conducted. We found CEACAM6 is over-expressed in primary and metastatic basal and classical PDA subtypes. Highest levels are in classical activated stroma subtype. CEACAM6 over-expression is universally a poor prognostic marker in KRAS mutant and wild type PDA. High CEACAM6 expression is associated with low cytolytic T-cell activity in both basal and classical PDA subtypes and correlates with low levels of T-REG markers. In HPAF-II cells knockout of CEACAM6 alters ECM-cell adhesion, catabolism, immune environment, transmembrane transport and autophagy. CEACAM6 loss increases mitochondrial basal and maximal respiratory capacity. HPAF-II CEACAM6−/− cells are growth suppressed by >65% vs. wild type in mice bearing tumors. CEACAM6, a key regulator affects several hallmarks of PDA including the fibrotic reaction, immune regulation, energy metabolism and is a novel therapeutic target in PDA.


2015 ◽  
Vol 46 (4) ◽  
pp. 390-398 ◽  
Author(s):  
Natalie A. Lockney ◽  
Manchao Zhang ◽  
Yanzhen Lu ◽  
Sabrina C. Sopha ◽  
M. Kay Washington ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
pp. 118-121
Author(s):  
V. U. Rayn ◽  
◽  
M. A. Persidskiy ◽  
E. V. Malakhova ◽  
I. V. Anuchina ◽  
...  

Aim. To establish the association between pancreatic cancer precursor lesions and chronic opisthorchiasis. Materials and methods. A single center case-control study was conducted at a low-volume pancreatic surgery center in Khanty-Mansiysk. We retrospectively collected morphological data from 47 pancreatoduodenectomies performed for pancreatic ductal adenocarcinoma. The study group included 23 cases of pancreatic ductal adenocarcinoma with concomitant chronic Opisthorchis felineus invasion which were compared to 24 controls consisting of “pure” cancer. Qualitative analysis was performed using χ2 Pearson criterion. Exact Fisher test was used for small samples. Time to progression and overall survival rates were calculated using Kaplan-Meier survival analysis. Data were collected and analyzed in Statistica 7.0. Results. PanINs were seen in 41,7% pancreata resected for ductal adenocarcinoma of the head and in 95,7% cases of pancreatic cancer in background of chronic opisthorchiasis (р = 0,000; 95% CI 3,5-268). PanIN high grade were observed only in opisthorchiasis group. In mixed pathology invasive cancer component tended to be more dedifferentiated and advanced when compared to pure cancer group (p = 0,029). Median disease free survival was 9 mo. in both groups and overall survival was 13 mo. in non-opisthorchiasis group and 15,3 mo. in opisthorchiasis group (р = 0,437). Conclusion. Chronic opisthorchiasis is associated with pancreatic intraepithelial neoplasia. Pancreatic ductal adenocarcinoma in background of opisthorchiasis with preneoplastic lesions tend to be more advanced in stage and poorly differentiated. Disease free and overall survival have no statistically significant differences in patients with and without Opisthorchis felineus invasion.


HPB ◽  
2019 ◽  
Vol 21 ◽  
pp. S127-S128
Author(s):  
H. Williams ◽  
M.R. Jajja ◽  
S. Hashmi ◽  
K. Cardona ◽  
S.K. Maithel ◽  
...  

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