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MicroRNA expression patterns of lung metastasis samples distinguish patients with high vs. low rates of metastasis

ABSTRACT: Background: Many strategies to define subtypes and treat cancer relies on a presumption of either localized or widespread (poly)metastatic disease. We proposed an intermediate state of metastasis termed oligometastasis(es) characterized by limited metastatic progression and amenable to treatment by localized methods e.g. surgery or radiotherapy. Methods: To understand the biological basis of oligometastatic and polymetastatic progression, we analyzed microRNA expression patterns from lung tumor samples of patients with less than five metastases at first metastasis presentation and treated with metastasis-directed surgery. Results: Patients were stratified into four subgroups of oligo- and poly-metastatic progression based on the rate of metastatic progression over follow-up period. We prioritized microRNAs between the extremes of oligo- vs. poly-metastatic progression and validated their capacity to distinguish these phenotypes and predict survival in an independent validation dataset. Conclusions: Our results provide further evidence for the biological underpinnings of oligometastasis(es) and potential microRNA candidates to predict progression trajectories of patients and optimize corresponding metastasis-directed treatment.

ORGANISM(S): Homo sapiens

PROVIDER: GSE38698 | GEO | 2012/06/13

SECONDARY ACCESSION(S): PRJNA168446

REPOSITORIES: GEO

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microRNA expression patterns of lung metastasis samples distinguish patients with high vs. low rates of metastasis

Project description:Background: Many strategies to define subtypes and treat cancer relies on a presumption of either localized or widespread (poly)metastatic disease. We proposed an intermediate state of metastasis termed oligometastasis(es) characterized by limited metastatic progression and amenable to treatment by localized methods e.g. surgery or radiotherapy. Methods: To understand the biological basis of oligometastatic and polymetastatic progression, we analyzed microRNA expression patterns from lung tumor samples of patients with less than five metastases at first metastasis presentation and treated with metastasis-directed surgery. Results: Patients were stratified into four subgroups of oligo- and poly-metastatic progression based on the rate of metastatic progression over follow-up period. We prioritized microRNAs between the extremes of oligo- vs. poly-metastatic progression and validated their capacity to distinguish these phenotypes and predict survival in an independent validation dataset. Conclusions: Our results provide further evidence for the biological underpinnings of oligometastasis(es) and potential microRNA candidates to predict progression trajectories of patients and optimize corresponding metastasis-directed treatment. We collected tumor samples from 63 patients that (i) had between one and five metastasis(es) at first metastatic presentation and no clinical or radiologic evidence of metastases in the pleural, peritoneal, pericardial or retroperitoneal cavities,(ii) at the time of lung surgery, had every site of known metastases treated with definitive intent, and (iii) had a minimum of 16 months of follow-up after surgery was required. Total RNA were derived from FFPE metastatic tissue samples. Patient samples were subsequently classified into 3 groups: those from patients with high, intermediate and low rates of progression.

2012-06-13 | E-GEOD-38698 | biostudies-arrayexpress

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microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines

Project description:Cancer staging and treatment frequently assume a binary division of tumors into localized or metastatic cancers. We proposed a state of metastatic disease defined by the number of metastases termed oligometastases. Patients with oligometastatic disease may be cured with localized methods of cancer treatment. We analyzed miRNA expression from paraffin blocks of primary or metastatic tumor samples derived from oligometastatic (? 5 metastases) patients treated with high dose localized radiotherapy. We report patterns of miRNA expression in the metastatic and primary tumor samples that identify patients who failed to progress to widespread polymetastases. We created a model of oligometastases of human tumors in immune compromised mice. The miRNA patterns of gene expression derived from patients accurately identified oligometastatic patterns in the mouse model as compared to animals that developed widespread metastases. MiRNA signatures may identify patients most likely to benefit from aggressive curative treatment of limited metastatic disease. Injection of MDA-MB-435-GFP cancer cells into the mammary fat pad of female athymic mice to develop spontaneous macroscopic lung metastasis. Tail vein experimental lung colonization assay was performed to model the development of MDA-MB-435-GFP Oligo- or Poly-metastases in the lung in vivo. Cell lines: Total RNA were derived from MDA-MB-435-L1-GFP (Ol-like) or MDA-MB-435-L1Mic (Poly-like) cell lines.

2010-12-09 | E-GEOD-25967 | biostudies-arrayexpress

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Project description:Development of a xenograft model for clinical oligo- and poly-metastatic progression

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microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines

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