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High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

ABSTRACT: High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

PROVIDER: PRJNA505575 | ENA |

REPOSITORIES: ENA

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High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

Project description:Most triple negative breast cancers (TNBCs) are aggressively metastatic with a high degree of intratumoral heterogeneity. We employed patient-derived xenograft models established from the breast tumors of patients with treatment-naïve metastatic TNBC to study clonal dynamics during metastasis. Genomic sequencing coupled with high-complexity barcode-mediated clonal tracking revealed robust alterations in clonal architecture between primary tumors and corresponding metastases that were deterministic rather than stochastic. The presence of numerous rare subclones in each metastatic lesion demonstrated that polyclonal seeding occurred and that heterogeneous populations of low-abundance clones were maintained in metastases. An identical population of subclones was enriched in lung, liver, and brain metastases, demonstrating that primary tumor clones harbor properties enabling them to seed and thrive in multiple organ sites. Further, clones that dominated multi-organ metastases shared a genomic lineage. Thus, intrinsic properties of rare primary tumor subclones enable the seeding and colonization of metastases in multiple organ sites.

2018-12-11 | GSE120753 | GEO

High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

Project description:High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

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High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

Project description:High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer

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High-resolution clonal mapping of multi-organ metastasis in triple negative breast cancer.

Project description:Most triple negative breast cancers (TNBCs) are aggressively metastatic with a high degree of intra-tumoral heterogeneity (ITH), but how ITH contributes to metastasis is unclear. Here, clonal dynamics during metastasis were studied in vivo using two patient-derived xenograft (PDX) models established from the treatment-naive primary breast tumors of TNBC patients diagnosed with synchronous metastasis. Genomic sequencing and high-complexity barcode-mediated clonal tracking reveal robust alterations in clonal architecture between primary tumors and corresponding metastases. Polyclonal seeding and maintenance of heterogeneous populations of low-abundance subclones is observed in each metastasis. However, lung, liver, and brain metastases are enriched for an identical population of high-abundance subclones, demonstrating that primary tumor clones harbor properties enabling them to seed and thrive in multiple organ sites. Further, clones that dominate multi-organ metastases share a genomic lineage. Thus, intrinsic properties of rare primary tumor subclones enable the seeding and colonization of metastases in secondary organs in these models.

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Triple therapy reduced metastasis in triple-negative breast cancer.

Project description:Triple therapy reduced metastasis in triple-negative breast cancer.

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Metastasis in triple-negative breast cancer

Project description:Metastasis in triple-negative breast cancer

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Triple therapy reduced metastasis in triple-negative breast cancer.

Project description:Purpose: To understand the underlying mechanisms of oncolytic virus therapy in breast cancer. Methods: The primary tumors of 4T1 in BALB/C mice were exstracted and analyzed by RNA-seq. Results: In consistent with previous studies, we found some anti-tumor factors were up-regulated. Interestingly, several immunosupressive genes were activited. Conclusion: Our study identified the intercellular and intracellular factors restricting the optimized oHSV efficacy and supported the rationally designed triple therapy for clinical translation.

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Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

Project description:This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.

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Impact of histotypes on preferential organ-specific metastasis in triple-negative breast cancer.

Project description:BackgroundThe distant metastasis was the most predictive characters of poor prognosis for triple-negative breast cancer (TNBC). We aimed to evaluate the correlation between patient characters and preferential distant metastatic sites (DMS) and its effects on prognosis.MethodsUsing the 2010-2014 Surveillance, Epidemiology, and End Results Program (SEER) data, patients with TNBC were classified into eight histologic subtypes. Patient characters were compared using a chi-squared test. Logistic regression was used for identification of predictive factors. The log-rank testing was utilized with disease-specific survival (DSS) and overall survival (OS) as the primary outcomes.ResultsA total of 23 270 patients with TNBC were involved, including 1544 patients with distant metastatic cancer. Bone metastasis was diagnosed in 559 cases, brain metastasis in 124 cases, liver metastasis found in 369 cases and lung metastasis in 492 cases. Histologic subtypes including metaplastic breast carcinoma and invasive lobular carcinoma showed significant differences in preferential DMS compared with invasive ductal carcinoma. Furthermore, we found different histologic subtypes with specific DMS showed various prognosis. We also evaluated different DMS of specific histologic subtypes showed different prognosis.ConclusionCertain histologic subtypes of breast cancer are associated with preferential DMS and prognosis; this knowledge may help to further understand the mechanism of breast cancer metastasis and to monitor the prognosis of patients with TNBC.

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