Stromal Expression of MicroRNA-21 in Advanced Colorectal Cancer Patients with Distant Metastases

Lee, Kyu Sang; Nam, Soo Kyung; Koh, Jiwon; Kim, Duck Woo; Kang, Sung Bum; Choe, Gheeyoung; Kim, Woo Ho; Lee, Hye Seung

doi:10.4132/jptm.2016.03.19

Cited by 20 publications

(17 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The tissue microarrays (TMAs) were made from the representative 2‐mm cores selected by an experienced gastrointestinal pathologist (H.S.L. ), as described previously (SuperBioChips Laboratories, Seoul, Republic of Korea) .…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications

et al. 2019

Self Cite

View full text Add to dashboard Cite

Background. Gastric cancer (GC) is a heterogeneous disease, and substantial efforts have been made to develop a molecular biology-based classification system for GC. Analysis of the genomic signature is not always feasible, and thus, we aimed to (i) develop and validate a practical immunohistochemistry (IHC)-and polymerase chain reaction (PCR)-based molecular classification of GC and (ii) to assess HER2 status according to this classification. Materials and Methods. A total of 894 consecutive patients with GC from two individual cohorts (training, n = 507; validation, n = 387) were classified using Epstein-Barr virus (EBV) in situ hybridization, microsatellite instability (MSI) testing, and IHC for E-cadherin and p53. Results. We were able to classify patients into five groups in the training cohort: group 1 (MSI + ), group 2 (EBV − , MSI − , non-epithelial-mesenchymal transition [non-EMT]-like, p53 − ), group 3 (EBV + ), group 4 (EBV − , MSI − , non-EMT-like, p53 + ), and group 5 (EBV − , MSI − , EMT-like). In the training cohort, each group showed different overall survival (OS) after gastrectomy (p < .001); group 1 had the best prognosis, and group 5 showed the worst survival outcome. The significant impact of the classification system on OS was also verified in the validation cohort (p = .004). HER2 positivity was observed in 6.5% of total population, and most of HER2-positive cases (93.1%) were included in groups 2 and 4. Conclusion. We developed and validated a modified IHCand PCR-based molecular classification system in GC, which showed significant impact on survival, irrespective of stage or other clinical variables. We also found close association between HER2 status and non-EMT phenotype in our classification system. The Oncologist 2019;24:e1321-e1330 Implications for Practice: Molecular classification of gastric cancer suggested by previous studies mostly relies on extensive genomic data analysis, which is not always available in daily practice. The authors developed a simplified immunohistochemistry-and polymerase chain reaction-based molecular classification of gastric cancer and proved the prognostic significance of this classification, as well as the close association between HER2 status and certain groups of the classification, in the largest consecutive cohort of gastric cancer. Results of this study suggest that this scheme is a cost-effective, easy-to-implement, and feasible way of classifying gastric cancer in daily clinical practice, also serving as a practical tool for aiding therapeutic decisions and predicting prognosis.

show abstract

Section: Methodsmentioning

confidence: 99%

Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…In pancreatic ductal adenocarcinoma, miR-21 is commonly associated with tumor metastasis and closely related to poor prognosis [104]. Clinicopathological findings confirmed that the stromal expression of miR-21 in colorectal cancer patients is closely related to distant metastasis [105]. …”

Section: Introductionmentioning

confidence: 99%

Exosomal miRNAs and miRNA dysregulation in cancer-associated fibroblasts

et al. 2017

View full text Add to dashboard Cite

PurposeThe present review aimed to assess the role of exosomal miRNAs in cancer-associated fibroblasts (CAFs), normal fibroblasts (NFs), and cancer cells. The roles of exosomal miRNAs and miRNA dysregulation in CAF formation and activation were summarized.MethodsAll relevant publications were retrieved from the PubMed database, with key words such as CAFs, CAF, stromal fibroblasts, cancer-associated fibroblasts, miRNA, exosomal, exosome, and similar terms.ResultsRecent studies have revealed that CAFs, NFs, and cancer cells can secrete exosomal miRNAs to affect each other. Dysregulation of miRNAs and exosomal miRNAs influence the formation and activation of CAFs. Furthermore, miRNA dysregulation in CAFs is considered to be associated with a secretory phenotype change, tumor invasion, tumor migration and metastasis, drug resistance, and poor prognosis.ConclusionsFinding of exosomal miRNA secretion provides novel insights into communication among CAFs, NFs, and cancer cells. MicroRNA dysregulation is also involved in the whole processes of CAF formation and function. Dysregulation of miRNAs in CAFs can affect the secretory phenotype of the latter cells.

show abstract

“…The collected tissue samples were remaining samples after proper histologic diagnosis and relevant molecular study. Representative tissue areas were reviewed and selected for the construction of tissue microarray (TMA) as described previously [9].…”

Section: Patients and Specimensmentioning

confidence: 99%

High-Throughput Multiplex Immunohistochemical Imaging of the Tumor and Its Microenvironment

et al. 2020

Self Cite

View full text Add to dashboard Cite

The aim of this study was to develop a formalin-fixed paraffin-embedded (FFPE) tissue based multiplex immunochemistry (mIHC) method for high-throughput comprehensive tissue imaging and demonstrate its feasibility, validity, and usefulness. Materials and Methods The mIHC protocol was developed and tested on tissue microarray slides made from archived gastric cancer (GC) tissue samples. On a single FFPE slide, cyclic immunochemistry for multiple markers of immune cells and cytokeratin for tumor cells was performed; hematoxylin staining was used for demarcation of nuclei. Whole slides were digitally scanned after each cycle. For interpretation of mIHC results, we performed computer-assisted image analysis using publicly available software. Results Using mIHC, we were able to characterize the tumor microenvironment (TME) of GCs with accurate visualization of various immune cells harboring complex immunophenotypes. Spatial information regarding intratumoral and peritumoral TME could be demonstrated by digital segmentation of image guided by cytokeratin staining results. We further extended the application of mIHC by showing that subcellular localization of molecules can be achieved by image analysis of mIHC results. Conclusion We developed a robust method for high-throughput multiplex imaging of FFPE tissue slides. The feasibility and adaptability of mIHC suggest that it is an efficient method for in situ single-cell characterization and analysis.

show abstract

Stromal Expression of MicroRNA-21 in Advanced Colorectal Cancer Patients with Distant Metastases

Cited by 20 publications

References 38 publications

Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications

Development and Validation of an Easy-to-Implement, Practical Algorithm for the Identification of Molecular Subtypes of Gastric Cancer: Prognostic and Therapeutic Implications

Exosomal miRNAs and miRNA dysregulation in cancer-associated fibroblasts

High-Throughput Multiplex Immunohistochemical Imaging of the Tumor and Its Microenvironment

Contact Info

Product

Resources

About