Literature DB >> 28939741

Tumor Heterogeneity Predicts Metastatic Potential in Colorectal Cancer.

Je-Gun Joung1, Bo Young Oh2, Hye Kyung Hong3, Hisham Al-Khalidi4, Faisal Al-Alem5, Hae-Ock Lee1, Joon Seol Bae1, Jinho Kim1, Hong-Ui Cha1, Maram Alotaibi4, Yong Beom Cho3,6, Mazen Hassanain7, Woong-Yang Park8,6,9, Woo Yong Lee10.   

Abstract

Purpose: Tumors continuously evolve to maintain growth; secondary mutations facilitate this process, resulting in high tumor heterogeneity. In this study, we compared mutations in paired primary and metastatic colorectal cancer tumor samples to determine whether tumor heterogeneity can predict tumor metastasis.Experimental Design: Somatic variations in 46 pairs of matched primary-liver metastatic tumors and 42 primary tumors without metastasis were analyzed by whole-exome sequencing. Tumor clonality was estimated from single-nucleotide and copy-number variations. The correlation between clinical parameters of patients and clonal heterogeneity in liver metastasis was evaluated.
Results: Tumor heterogeneity across colorectal cancer samples was highly variable; however, a high degree of tumor heterogeneity was associated with a worse disease-free survival. Highly heterogeneous primary colorectal cancer was correlated with a higher rate of liver metastasis. Recurrent somatic mutations in APC, TP53, and KRAS were frequently detected in highly heterogeneous colorectal cancer. The variant allele frequency of these mutations was high, while somatic mutations in other genes such as PIK3CA and NOTCH1 were low. The number and distribution of primary colorectal cancer subclones were preserved in metastatic tumors.Conclusions: Heterogeneity of primary colorectal cancer tumors can predict the potential for liver metastasis and thus, clinical outcome of patients. Clin Cancer Res; 23(23); 7209-16. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28939741     DOI: 10.1158/1078-0432.CCR-17-0306

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  31 in total

Review 1.  Biology of Nodal Spread in Colon Cancer: Insights from Molecular and Genetic Studies.

Authors:  Pridvi Kandagatla; Lilias H Maguire; Karin M Hardiman
Journal:  Eur Surg Res       Date:  2018-12-11       Impact factor: 1.745

2.  Radiomics based on multisequence magnetic resonance imaging for the preoperative prediction of peritoneal metastasis in ovarian cancer.

Authors:  Xiao-Li Song; Jia-Liang Ren; Ting-Yu Yao; Dan Zhao; Jinliang Niu
Journal:  Eur Radiol       Date:  2021-05-04       Impact factor: 5.315

3.  Prediction of KRAS, NRAS and BRAF status in colorectal cancer patients with liver metastasis using a deep artificial neural network based on radiomics and semantic features.

Authors:  Ruichuan Shi; Weixing Chen; Bowen Yang; Jinglei Qu; Yu Cheng; Zhitu Zhu; Yu Gao; Qian Wang; Yunpeng Liu; Zhi Li; Xiujuan Qu
Journal:  Am J Cancer Res       Date:  2020-12-01       Impact factor: 6.166

4.  Novel silk fibroin nanoparticles incorporated silk fibroin hydrogel for inhibition of cancer stem cells and tumor growth.

Authors:  Puyuan Wu; Qin Liu; Qin Wang; Hanqing Qian; Lixia Yu; Baorui Liu; Rutian Li
Journal:  Int J Nanomedicine       Date:  2018-09-17

5.  Biomarkers Associated with Tumor Heterogeneity in Prostate Cancer.

Authors:  Jae Won Yun; Soomin Lee; Daeun Ryu; Semi Park; Woong-Yang Park; Je-Gun Joung; Jeongyun Jeong
Journal:  Transl Oncol       Date:  2018-09-25       Impact factor: 4.243

6.  Intra-Tumoral Genomic Heterogeneity in Rectal Cancer: Mutational Status Is Dependent on Preoperative Biopsy Depth and Location.

Authors:  Floris A Vuijk; Carlijn van de Water; Shannon Lent-van Vliet; Maxime J M van der Valk; Femke Simmer; Cornelis J H van de Velde; Alexander L Vahrmeijer; Iris D Nagtegaal; Denise E Hilling
Journal:  Cancers (Basel)       Date:  2021-05-09       Impact factor: 6.639

7.  Characterization of Clonal Evolution in Microsatellite Unstable Metastatic Cancers through Multiregional Tumor Sequencing.

Authors:  Russell Bonneville; Anoosha Paruchuri; Michele R Wing; Melanie A Krook; Julie W Reeser; Hui-Zi Chen; Thuy Dao; Eric Samorodnitsky; Amy M Smith; Lianbo Yu; Nicholas Nowacki; Wei Chen; Sameek Roychowdhury
Journal:  Mol Cancer Res       Date:  2020-11-23       Impact factor: 6.333

8.  Clinical Implication of Concordant or Discordant Genomic Profiling between Primary and Matched Metastatic Tissues in Patients with Colorectal Cancer.

Authors:  Jung Yoon Choi; Sunho Choi; Minhyeok Lee; Young Soo Park; Jae Sook Sung; Won Jin Chang; Ju Won Kim; Yoon Ji Choi; Jin Kim; Dong-Sik Kim; Sung-Ho Lee; Junhee Seok; Kyong Hwa Park; Seon Hahn Kim; Yeul Hong Kim
Journal:  Cancer Res Treat       Date:  2020-02-16       Impact factor: 4.679

Review 9.  Life History Trade-Offs in Tumors.

Authors:  Amy M Boddy; Weini Huang; Athena Aktipis
Journal:  Curr Pathobiol Rep       Date:  2018-11-10

10.  Integrative Analysis of Identifying Methylation-Driven Genes Signature Predicts Prognosis in Colorectal Carcinoma.

Authors:  Hao Huang; Jinming Fu; Lei Zhang; Jing Xu; Dapeng Li; Justina Ucheojor Onwuka; Ding Zhang; Liyuan Zhao; Simin Sun; Lin Zhu; Ting Zheng; Chenyang Jia; Binbin Cui; Yashuang Zhao
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 6.244

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