Literature DB >> 29386021

A coordinate deregulation of microRNAs expressed in mucosa adjacent to tumor predicts relapse after resection in localized colon cancer.

Angela Grassi1, Lisa Perilli2,3, Laura Albertoni4, Sofia Tessarollo5, Claudia Mescoli4, Emanuele D L Urso6, Matteo Fassan4, Massimo Rugge4, Paola Zanovello7,8.   

Abstract

Up to 20% of colorectal cancer (CRC) node-negative patients develop loco-regional or distant recurrences within 5 years from surgery. No predictive biomarker able to identify the node-negative subjects at high risk of relapse after curative treatment is presently available.Forty-eight localized (i.e. stage I-II) colon cancer patients who underwent radical tumor resection were considered. The expression of five miRNAs, involved in CRC progression, was investigated by qRT-PCR in both tumor tissue and matched normal colon mucosa.Interestingly, we found that the coordinate deregulation of four miRNAs (i.e. miR-18a, miR-21, miR-182 and miR-183), evaluated in the normal mucosa adjacent to tumor, is predictive of relapse within 55 months from curative surgery.Our results, if confirmed in independent studies, may help to identify high-risk patients who could benefit most from adjuvant therapy. Moreover, this work highlights the importance of extending the search for tissue biomarkers also to the tumor-adjacent mucosa.

Entities:  

Keywords:  adjacent mucosa; localized colon cancer; microRNAs; predictive markers; relapse

Mesh:

Substances:

Year:  2018        PMID: 29386021      PMCID: PMC5791208          DOI: 10.1186/s12943-018-0770-8

Source DB:  PubMed          Journal:  Mol Cancer        ISSN: 1476-4598            Impact factor:   27.401


Background

Colorectal cancer (CRC) is the third most common tumor in the United States [1]. Up to 20% of node-negative (stage I and stage II) patients develop loco-regional or distant recurrences within 5 years from wide surgical resection and anastomosis. No predictive biomarker able to identify the node-negative subjects at high risk of relapse after curative surgery is presently available. Adjuvant chemotherapy is considered for stage II patients with at least one of the following clinical characteristics: sampling of fewer than 12 lymph nodes during surgical resection; poorly differentiated tumor; vascular, lymphatic or perineural invasion; tumor presentation with obstruction or tumor perforation and pT4 stage [2]. In this setting, the identification of biomarkers to guide adjuvant therapy decision could be extremely useful for clinical practice. CRC develops and progresses through the accumulation of alterations affecting both noncoding and coding RNAs. Noncoding RNAs control multiple biological processes and have emerged as possible biomarkers for the clinical diagnosis and prognosis of CRC [3]. Different microRNA (miRNA) expression patterns observed in primary CRC have also been associated with tumor stage and patient survival [4]. In previous work, we identified up- and down-regulated miRNAs in primary colon carcinoma versus normal colon mucosa samples from metastatic CRC patients and reconstructed putative post-transcriptional regulatory sub-networks involving the most differentially expressed miRNAs and their target genes [5]. More recently, a study by Sanz-Pamplona and colleagues demonstrated that a number of tumor-related genes were activated in the tumor-adjacent non-neoplastic mucosa of CRC patients. These activated genes were enriched in transcription factors, indicating the existence of a transcriptional program driving the observed altered expression pattern in normal mucosa [6]. This result paves the way for the possibility to detect tumor-specific alterations also in the adjacent mucosa. The focus of this paper is to identify miRNAs that could serve as biomarkers of relapse after resection in localized colon cancer, by investigating both matched normal colon mucosa and tumor tissue, resected from the surgical specimen.

Findings

In this study we explored the usefulness of a set of five miRNAs (i.e. miR-18a, miR-21, miR-182, miR-183 and miR-139) as biomarkers of relapse after primary tumor resection in stage I-II colon cancer. These miRNAs were already known to be involved in CRC progression. In particular, miR-21 is a known oncomiR, whose high expression levels have been related to inflammation-associated colorectal tumorigenesis and dismal clinical outcome [7]. MiR-18a was found to be significantly up-regulated in patients with a form of chronic inflammation, i.e. colonic polyps [8], and it has been suggested as a prognostic factor for survival of post-operative CRC patients [9]. The increased expression of miR-183 and miR-182, both members of miR-183 cluster, has been related to advanced clinical stage, lymph node involvement, distant metastases and poor prognosis [10, 11]. Concerning miR-139, a recent study highlighted its down-regulation in colon cancer cell lines and patients and its association with metastasis and drug resistance [12].

Differentially expressed microRNAs in localized colon cancer between tumor and matched normal mucosa

Forty-eight patients with sporadic stage I-II colon cancer were considered and both tumor tissue and matched normal mucosa were collected at the time of curative surgery, see Additional file 1. The expression levels of the five selected miRNAs, already known to be modulated in advanced CRC (stage IV), were evaluated. Interestingly, our analysis confirmed that they were all significantly regulated in the early phases of the CRC tumor process. Specifically, miR-18a, miR-21, miR-182 and miR-183 were strongly up-regulated (p < < 0.001) in cancer tissue with respect to normal mucosa, whereas miR-139 was strongly down-regulated (p < < 0.001), see Fig. 1. This finding extends to stage I-II CRC the results previously obtained in stage IV CRC [5], showing that these five miRNAs accompany the CRC tumor process, from initial stages to advanced tumorigenesis.
Fig. 1

Boxplots of the distribution of –ΔCt values in tumor tissue versus matched normal mucosa for miR-18a, miR-21, miR-182, miR-183 and miR-139. Each dot represents a patient sample. –ΔCt values were calculated using miR-200c as a reference. Differences between cancer tissue (K) and matched normal mucosa (N) samples were analyzed using one-tailed Wilcoxon rank-sum test

Boxplots of the distribution of –ΔCt values in tumor tissue versus matched normal mucosa for miR-18a, miR-21, miR-182, miR-183 and miR-139. Each dot represents a patient sample. –ΔCt values were calculated using miR-200c as a reference. Differences between cancer tissue (K) and matched normal mucosa (N) samples were analyzed using one-tailed Wilcoxon rank-sum test To assess the role of tumor-associated inflammation in the modulation of these miRNAs, we also evaluated their expression levels in 10 patients affected by ulcerative colitis, a form of inflammatory bowel disease characterized by chronic and widespread inflammation of the colorectal mucosa. MiR-18a and miR-21 appeared weakly up-regulated in the inflammatory tissue vs. normal mucosa with p-value of 0.053 and 0.042, respectively. Conversely, miR-182, miR-183 and miR-139 were not significantly modulated (Additional file 1: Fig. S1). Although with a limited sample size, our data indicate that the modulations of miR-182, miR-183 and miR-139 are more specific of the tumor process. MiR-18a and miR-21, instead, appear weakly up-regulated also in inflamed bowel tissue, in line with previously published works [7, 8], thus suggesting that the strong up-regulation of these two miRNAs in the tumor tissue could be partially related to inflammation.

miRNA ratios as possible biomarkers of relapse

Based on recurrence-free survival (RFS), the 48 localized colon cancer patients in study were subdivided into a recurrent group (R, 23 patients with RFS > 55) and a non-recurrent group (NR, 25 patients with RFS < 55), see Additional file 1. The clinical characteristics of the patients are described in Table 1.
Table 1

Clinical characteristics of relapsing (R) and non-relapsing (NR) patients

CharacteristicsRNR
n = 23n = 25
Age at resection (years)Median7269
Range55–8550–90
SexM16 (70%)10 (40%)
F7 (30%)15 (60%)
Tumor siteCecum, colon ascending, hepatic (right) flexure76
transverse colon34
Splenic (left) flexure, colon descending, sigmoid colon1315
Rectum00
TNM stageI67
II1718
T(n)T121
T246
T31518
T420
N(n)N023(100%)25(100%)
M(n)M023 (100%)25 (100%)
Grading (n)G154
G21517
G334
G400
Clinical characteristics of relapsing (R) and non-relapsing (NR) patients To investigate whether the selected miRNAs could be useful to predict tumor relapse, we applied the miRNA ratio approach [13, 14]. We calculated 10 ratios between the expression values of all possible miRNA pair combinations (see Additional file 1) in both the tumor tissue and the adjacent normal mucosa, and assessed their capability to predict relapse through univariate logistic regression analysis, Additional file 1: Table S1. None of the miRNA ratios resulted predictive when evaluated in the colon cancer tissue. Three miRNA ratios, evaluated in the tumor-adjacent mucosa, were found to be significant predictors of relapse within 55 months from resection: miR-21/miR-183 (p = 0.0011), miR-18a/miR-182 (p = 0.0053) and miR-18a/miR-183 (p = 0.0099), see Fig. 2a and Additional file 1: Table S2 for details about univariate logistic regression models. Corresponding areas under ROC curves were 0.83, 0.76 and 0.78, respectively, see Fig. 2b. It is noteworthy that the three significant miRNA ratios (miR-21/miR-183, miR-18a/miR-182 and miR-18a/miR-183) together with miR-21/miR-182 ratio, which appears weakly significant (p = 0.063, Additional file 1: Table S1), share a common characteristic. These miRNA ratios have at numerator a microRNA that in our setting appears associated also to inflammation (either miR-18a or miR-21) and at denominator a microRNA more specific of the tumor (either miR-183 or miR-182). We thus conclude that a coordinate deregulation of these two couples of miRNAs may be a useful predictor of relapse. To investigate how the individual miRNAs perform as predictive biomarkers, an additional univariate logistic regression analysis was executed and reported in Additional file 1: Table S3, showing that the miRNA ratio approach yields to more significant results. Moreover, a bivariate logistic regression analysis, taking as covariates all the possible combinations of miRNA pairs, was conducted (Additional file 1: Table S4). This analysis confirmed that, regardless of the chosen approach, it is the coordinated alteration of the two couples of miRNAs that we have identified to be predictive of relapse. The advantage of the miRNA ratio approach is to overcome the need for miR-200c as a normalizer.
Fig. 2

miR-21/miR-183, miR-18a/182 and miR-18a/183 ratios in tumor-adjacent mucosa predict relapse of colon cancer after bowel resection. a. The three panels show the distribution of miRNA ratio relative expression levels, indicated as 2-ΔCt, in localized colon cancer patients, relapsing (R) and non-relapsing (NR) within 55 months after resection. b. ROC curves generated for the three significant miRNA ratios (p < 0.01) in univariate logistic regression. Corresponding areas under ROC curves (AUC) are detailed in the figure

miR-21/miR-183, miR-18a/182 and miR-18a/183 ratios in tumor-adjacent mucosa predict relapse of colon cancer after bowel resection. a. The three panels show the distribution of miRNA ratio relative expression levels, indicated as 2-ΔCt, in localized colon cancer patients, relapsing (R) and non-relapsing (NR) within 55 months after resection. b. ROC curves generated for the three significant miRNA ratios (p < 0.01) in univariate logistic regression. Corresponding areas under ROC curves (AUC) are detailed in the figure More interestingly, the three significant miRNA ratios seem to be potential biomarkers when evaluated in the adjacent, morphologically normal, mucosa and not in the tumor tissue. This result, apparently counterintuitive, is in line with recent gene expression studies on the adjacent mucosa conducted both in CRC [6] and in head and neck cancer [15]. Indeed, it is emerging with increasing evidence that the crosstalk between tumor and microenvironment could also affect the adjacent mucosa and that also this tissue may be informative.

Conclusion

Our analysis showed that not a single miRNA, but rather a coordinated alteration of four miRNAs (i.e. miR-18a, miR-21, miR-182 and miR-183) may be useful to predict recurrence after curative surgery. This is the first study that outlines a predictive role of miRNAs, evaluated in the adjacent, morphologically normal, mucosa of CRCs. Our results, if confirmed in an ample cohort of patients, may help to identify among localized colon cancer (stage I-II) patients those at high risk of relapse who could benefit most from adjuvant therapy.
  15 in total

1.  MicroRNA MIR21 (miR-21) and PTGS2 Expression in Colorectal Cancer and Patient Survival.

Authors:  Kosuke Mima; Reiko Nishihara; Juhong Yang; Ruoxu Dou; Yohei Masugi; Yan Shi; Annacarolina da Silva; Yin Cao; Mingyang Song; Jonathan Nowak; Mancang Gu; Wanwan Li; Teppei Morikawa; Xuehong Zhang; Kana Wu; Hideo Baba; Edward L Giovannucci; Jeffrey A Meyerhardt; Andrew T Chan; Charles S Fuchs; Zhi Rong Qian; Shuji Ogino
Journal:  Clin Cancer Res       Date:  2016-03-08       Impact factor: 12.531

2.  Colorectal cancer statistics, 2017.

Authors:  Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-03-01       Impact factor: 508.702

3.  Overexpression of microRNA-183 in human colorectal cancer and its clinical significance.

Authors:  Tong Zhou; Guang-Jun Zhang; He Zhou; Hua-Xu Xiao; Yu Li
Journal:  Eur J Gastroenterol Hepatol       Date:  2014-02       Impact factor: 2.566

4.  MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer.

Authors:  Mattia Boeri; Carla Verri; Davide Conte; Luca Roz; Piergiorgio Modena; Federica Facchinetti; Elisa Calabrò; Carlo M Croce; Ugo Pastorino; Gabriella Sozzi
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-07       Impact factor: 11.205

5.  Prognostic significance of the tumour-adjacent tissue in head and neck cancers.

Authors:  Martina Raudenska; Marketa Sztalmachova; Jaromir Gumulec; Michaela Fojtu; Hana Polanska; Jan Balvan; Marek Feith; Hana Binkova; Zuzana Horakova; Rom Kostrica; Rene Kizek; Michal Masarik
Journal:  Tumour Biol       Date:  2015-07-14

6.  Impact of microRNAs on regulatory networks and pathways in human colorectal carcinogenesis and development of metastasis.

Authors:  Silvia Pizzini; Andrea Bisognin; Susanna Mandruzzato; Marta Biasiolo; Arianna Facciolli; Lisa Perilli; Elisabetta Rossi; Giovanni Esposito; Massimo Rugge; Pierluigi Pilati; Simone Mocellin; Donato Nitti; Stefania Bortoluzzi; Paola Zanovello
Journal:  BMC Genomics       Date:  2013-08-29       Impact factor: 3.969

7.  miR-139-5p Inhibits the Epithelial-Mesenchymal Transition and Enhances the Chemotherapeutic Sensitivity of Colorectal Cancer Cells by Downregulating BCL2.

Authors:  Qingguo Li; Xin Liang; Yuwei Wang; Xianke Meng; Ye Xu; Sanjun Cai; Zhimin Wang; Jianwen Liu; Guoxiang Cai
Journal:  Sci Rep       Date:  2016-05-31       Impact factor: 4.379

8.  Aberrant gene expression in mucosa adjacent to tumor reveals a molecular crosstalk in colon cancer.

Authors:  Rebeca Sanz-Pamplona; Antoni Berenguer; David Cordero; David G Molleví; Marta Crous-Bou; Xavier Sole; Laia Paré-Brunet; Elisabet Guino; Ramón Salazar; Cristina Santos; Javier de Oca; Xavier Sanjuan; Francisco Rodriguez-Moranta; Victor Moreno
Journal:  Mol Cancer       Date:  2014-03-05       Impact factor: 27.401

9.  A circulating miRNA assay as a first-line test for prostate cancer screening.

Authors:  Evgeniya Sharova; Angela Grassi; Anna Marcer; Katia Ruggero; Francesco Pinto; Pierfrancesco Bassi; Paola Zanovello; Filiberto Zattoni; Donna M D'Agostino; Massimo Iafrate; Vincenzo Ciminale
Journal:  Br J Cancer       Date:  2016-05-26       Impact factor: 7.640

10.  Site-specific associations between miRNA expression and survival in colorectal cancer cases.

Authors:  Martha L Slattery; Jennifer S Herrick; Daniel F Pellatt; Lila E Mullany; John R Stevens; Erica Wolff; Michael D Hoffman; Roger K Wolff; Wade Samowitz
Journal:  Oncotarget       Date:  2016-09-13
View more
  9 in total

Review 1.  Good or not good: Role of miR-18a in cancer biology.

Authors:  Tomasz Kolenda; Kacper Guglas; Magda Kopczyńska; Joanna Sobocińska; Anna Teresiak; Renata Bliźniak; Katarzyna Lamperska
Journal:  Rep Pract Oncol Radiother       Date:  2020-08-12

2.  The prognostic influence of tumour budding in Western patients with stage II colorectal cancer.

Authors:  Augusto Leite Canguçu; Ediel Valério; Roberto Bonfim Pimenta Peixoto; Tiago Cordeiro Felismino; Celso Abdon Lopes de Mello; Tatiane Neotti; Vinicius Fernando Calsavara; Mariana Petaccia de Macedo; Samuel Aguiar Júnior; Rachel Riechelmann
Journal:  Ecancermedicalscience       Date:  2020-10-29

3.  High Expression of a Cancer Stemness-Related Gene, Chromobox 8 (CBX8), in Normal Tissue Adjacent to the Tumor (NAT) Is Associated with Poor Prognosis of Colorectal Cancer Patients.

Authors:  Lui Ng; Hung-Sing Li; Abraham Tak-Ka Man; Ariel Ka-Man Chow; Dominic Chi-Chung Foo; Oswens Siu-Hung Lo; Roberta Wen-Chi Pang; Wai-Lun Law
Journal:  Cells       Date:  2022-06-06       Impact factor: 7.666

4.  Mex3a promotes oncogenesis through the RAP1/MAPK signaling pathway in colorectal cancer and is inhibited by hsa-miR-6887-3p.

Authors:  Haixia Li; Jinghui Liang; Jiang Wang; Jingyi Han; Shuang Li; Kai Huang; Chuanyong Liu
Journal:  Cancer Commun (Lond)       Date:  2021-02-27

5.  Silencing of miR-182 is associated with modulation of tumorigenesis through apoptosis induction in an experimental model of colorectal cancer.

Authors:  Lisa Perilli; Sofia Tessarollo; Laura Albertoni; Matteo Curtarello; Anna Pastò; Efrem Brunetti; Matteo Fassan; Massimo Rugge; Stefano Indraccolo; Alberto Amadori; Stefania Bortoluzzi; Paola Zanovello
Journal:  BMC Cancer       Date:  2019-08-20       Impact factor: 4.430

6.  Emerging microRNA biomarkers for colorectal cancer diagnosis and prognosis.

Authors:  Bing Chen; Zijing Xia; Ya-Nan Deng; Yanfang Yang; Peng Zhang; Hongxia Zhu; Ningzhi Xu; Shufang Liang
Journal:  Open Biol       Date:  2019-01-31       Impact factor: 6.411

7.  The role of the miR1976/CD105/integrin αvβ6 axis in vaginitis induced by Escherichia coli infection in mice.

Authors:  Lisha Jiang; Lingling Zhang; Can Rui; Xia Liu; Zhiyuan Mao; Lina Yan; Ting Luan; Xinyan Wang; Ying Wu; Ping Li; Xin Zeng
Journal:  Sci Rep       Date:  2019-10-08       Impact factor: 4.379

8.  The Blockade of Tumoral IL1β-Mediated Signaling in Normal Colonic Fibroblasts Sensitizes Tumor Cells to Chemotherapy and Prevents Inflammatory CAF Activation.

Authors:  Natalia Guillén Díaz-Maroto; Gemma Garcia-Vicién; Giovanna Polcaro; María Bañuls; Nerea Albert; Alberto Villanueva; David G Molleví
Journal:  Int J Mol Sci       Date:  2021-05-07       Impact factor: 5.923

9.  Targeting Colorectal Cancer Stem Cells as an Effective Treatment for Colorectal Cancer.

Authors:  Yu-Shui Ma; Wen Li; Yu Liu; Yi Shi; Qin-Lu Lin; Da Fu
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.