Sequencing of cancer cell subpopulations identifies micrometastases in a bladder cancer patient

Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecu...

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Published inOncotarget Vol. 8; no. 28; pp. 45619 - 45625
Main Authors Prado, Kris, Zhang, Kelvin X, Pellegrini, Matteo, Chin, Arnold I
Format Journal Article
LanguageEnglish
Published United States Impact Journals LLC 11.07.2017
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Abstract Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis. We combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy. Mean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations. Our analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology.
AbstractList Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis. We combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy. Mean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations. Our analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology.
PURPOSEPathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases, which can increase risk of cancer progression and delay potential adjuvant therapies. Here, we sought to develop a proof of concept novel molecular approach to improve detection of cancer micrometastasis.EXPERIMENTAL DESIGNWe combined fluorescence activated cell sorting and next-generation sequencing and performed whole-exome sequencing of total cancer cells and cancer cell subpopulations in multiple tumor specimens and regional lymph nodes in a single patient with muscle-invasive urothelial carcinoma of the bladder following radical cystectomy.RESULTSMean allele frequency analysis demonstrated a significant correlation between primary tumor cancer cells and cancer cells isolated from the lymph nodes, confirming lymph node disease despite negative pathologic staging. RNA-sequencing revealed intratumoral heterogeneity as well as enrichment for immune system and lipid metabolism gene sets in the micrometastatic cancer cell subpopulations.CONCLUSIONSOur analysis illustrates how next-generation sequencing of cancer cell subpopulations may be utilized to enrich for cancer cell markers and enhance detection of bladder cancer micrometastases to improve pathologic staging and provide insight into cancer cell biology.
Author Prado, Kris
Chin, Arnold I
Zhang, Kelvin X
Pellegrini, Matteo
AuthorAffiliation 1 Department of Urology, UCLA, Los Angeles, CA 90095, USA
5 Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA
3 Department of Molecular, Cell, and Developmental Biology, UCLA, Los Angeles, CA 90095, USA
4 Broad Stem Cell Research Center, UCLA, Los Angeles, CA 90095, USA
2 Merck Sharp & Dohme Co., Computational Genomics and Informatics, Boston, MA 02210, USA
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Keywords cancer initiating cells
next-generation sequencing
bladder cancer
micrometastases
pathologic staging
Language English
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Snippet Pathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of micrometastases,...
PURPOSEPathologic staging of bladder cancer patients remains a challenge. Standard-of-care histology exhibits limited sensitivity in detection of...
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StartPage 45619
SubjectTerms Alleles
Biomarkers
Female
Gene Frequency
Genetic Variation
Humans
Lymph Nodes - pathology
Lymphatic Metastasis
Male
Middle Aged
Neoplasm Micrometastasis
Research Paper
Urinary Bladder Neoplasms - genetics
Urinary Bladder Neoplasms - metabolism
Urinary Bladder Neoplasms - pathology
Whole Exome Sequencing
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Title Sequencing of cancer cell subpopulations identifies micrometastases in a bladder cancer patient
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