Aby wyświetlić tę treść, wymagana jest subskrypcja JoVE. Zaloguj się lub rozpocznij bezpłatny okres próbny.
Method Article
This article describes a method to identify clonal and subclonal alterations among different specimens from a given patient. Although the experiments described here focus on a specific tumor type, the approach is broadly applicable to other solid tumors.
Assessing intra-tumoral heterogeneity (ITH) is of paramount importance to anticipate failure of targeted therapies and design accordingly effective anti-tumor strategies. Although concerns are frequently raised due to differences in sample processing and depth of coverage, next-generation sequencing of solid tumors have unraveled a highly variable degree of ITH across tumor types. Capturing the genetic relatedness between primary and metastatic lesions through the identification of clonal and subclonal populations is critical to the design of therapies for advance-stage diseases. Here, we report a method for comparative lesions analysis that allows for the identification of clonal and subclonal populations among different specimens from the same patient. The experimental approach described here integrates three well-established approaches: histological analysis, high-coverage multi-lesion sequencing, and immunophenotypic analyses. In order to minimize the effects on the detection of subclonal events by inappropriate sample processing, we subjected tissues to careful pathological examination and neoplastic cell enrichment. Quality controlled DNA from neoplastic lesions and normal tissues was then subjected to high coverage sequencing, targeting the coding regions of 409 relevant cancer genes. While only looking at a limited genomic space, our approach enables evaluating the extent of heterogeneity among somatic alterations (single-nucleotide mutations and copy-number variations) in distinct lesions from a given patient. Through comparative analysis of sequencing data, we were able to distinguish clonal vs. subclonal alterations. The majority of ITH is often ascribed to passenger mutations; therefore, we also used immunohistochemistry to predict functional consequences of mutations. While this protocol has been applied to a specific tumor type, we anticipate that the methodology described here is broadly applicable to other solid tumor types.
The advent of next generation sequencing (NGS) has revolutionized the way cancers are diagnosed and treated1. NGS coupled to multiregional sequencing have exposed a high degree of intra-tumoral heterogeneity (ITH) in solid tumors2, which explains in part the failure of targeted therapy due to the presence of subclones with differing drug sensitivity2. An important challenge posed by genome-wide sequencing studies is the necessity to distinguish between passenger (i.e., neutral) and driver mutations in individual cancers3. Several studies have indeed shown that, in certain tumors, passenger mutations account for the majority of ITH, while driver alterations tend to be conserved among lesions of the same individual4. It is also important to note that large mutational burden (as seen in lung cancers and melanoma) does not necessarily imply a large subclonal mutational burden2. Therefore, a high degree of ITH can be found in tumors with low mutational burden.
Metastases are responsible for more than 90% of cancer-related death worldwide5; therefore, capturing the mutational heterogeneity of driver genes among primary and metastatic lesions is critical to the design of effective therapies for advanced-stage diseases. Clinical sequencing is generally performed on nucleic acids from fixed tissues, which renders genome-wide exploration difficult because of poor DNA quality. On the other hand, the intent of clinical sequencing is to identify actionable mutations and/or mutations that might predict responsiveness/unresponsiveness to a given therapeutic regimen. As it stands, sequencing can be restricted to a smaller fraction of the genome for timely extraction of clinically relevant information. The transition from low-throughput DNA profiling (e.g., Sanger Sequencing) to NGS has rendered it possible to analyze hundreds of cancer-relevant genes at a high depth of coverage, which allows for the detection of subclonal events. Here, we report a method for comparative lesions analysis that allows for the identification of clonal and subclonal populations among different specimens from the same individual. The method described here integrates three well-established approaches (histological analysis, high-coverage multi-lesion sequencing, and immunophenotypic analyses) to predict functional consequences of the variations identified. The approach is schematically described in Figure 1 and has been applied to the study of 5 metastatic cases of solid pseudopapillary neoplasms (SPNs) of the pancreas. While we describe processing and analysis of formalin-fixed paraffin-embedded (FFPE) tissue specimens, the same procedure can be applied to genetic material from fresh-frozen tissue.
The material used in the study was collected under a specific protocol, which was approved by the local ethics committee. Written informed consent from all patients was available.
1. Histological and immunophenotypical revision of tissue specimens
NOTE: An expert pathologist is responsible for activities described hereafter.
2. Manual microdissection
NOTE: This method is applicable to various solid tumor types, and it is intended to increase neoplastic cells content of tissue specimens. Alternatively, this method can be used to harvest morphologically and/or immunophenotypically distinct areas within the same tissue section.
3. Processing of tissues without prior microdissection
NOTE: This procedure is used for tissue blocks that contain only non-neoplastic cells (source of germline DNA) or contain at least 70% of morphologically homogenous cancer cells.
4. DNA extraction from normal and neoplastic cells
5. Library preparation and quantification
NOTE: The schematic flowchart of library preparation and quantification steps is reported in Figure 3.
6. Libraries pooling and sequencing run
7. Mutations and copy-number variations (CNVs) analysis
NOTE: Alignment of sequencing data to the GRCh37/hg19 human reference genome is automatically performed once set in the Plan (step 6.2.8).
8. Immunophenotypic analysis: immunohistochemistry for relevant protein expression
NOTE: Immunohistochemistry was used to validate the functional consequences of inactivating mutations in tumor suppressor genes.
The study workflow is illustrated in Figure 1. Multi-lesions (n = 13) sequencing of 5 SPN cases targeting the coding sequences of 409 cancer related genes identified a total of 27 somatic mutations in 8 genes (CTNNB1, KDM6A, BAP1, TET1, SMAD4, TP53, FLT1, and FGFR3). Mutations were defined as founder/clonal when shared among all lesions of a given patient, and progressor/subclonal when detected in some but not all lesion...
Our method enables the identification of molecular alterations involved in progression of solid tumors through integration of vertical data (i.e., morphology, DNA sequencing, and immunohistochemistry) from distinct lesions of a given patient. We demonstrated the capability of our method to detect clonal and subclonal events in a mutational silent tumor type (i.e., SPN, solid-pseudopapillary neoplasm of the pancreas) by interrogating the coding sequences of 409 cancer relevant genes8. An advantage ...
The authors have nothing to disclose.
The study was supported by the Italian Cancer Genome Project (Grant No. FIRB RBAP10AHJB), Associazione Italiana Ricerca Cancro (AIRC; Grant No. 12182 to AS and 18178 to VC), FP7 European Community Grant (Cam-Pac No 602783 to AS). The funding agencies had no role in the collection, analysis and interpretation of data or in the writing of the manuscript.
Name | Company | Catalog Number | Comments |
2100 Bioanalyzer Instrument | Agilent Technologies | G2939BA | Automated electrophoresis tool |
Agencourt AMPure XP Kit | Fisher Scientific | NC9959336 | Beads technology for the purification of PCR products; beads-based purification reagent |
Agilent High Sensitivity DNA Kit | Agilent Technologies | 5067-4627 | Library quantification |
Anti-BAP1 | Santa Cruz Biotechnology | sc-28383 | Antibody |
Anti-GLUT1 | Thermo Scientific | RB-9052 | Antibody |
Anti-KDM6A | Cell Signaling | #33510 | Antibody |
Anti-p53 | Novocastra | NCL-L-p53-DO7 | Antibody |
Anti-βcatenin | Sigma-Aldrich | C7207 | Antibody |
Blocking Solution | home made | - | 5 % Bovine serum albumin (BSA) in TBST |
Endogenous peroxidases inactivation solution | home made | - | 3% H2O2 in Tris-buffered saline (TBS) 1x |
Leica CV ultra | Leica | 70937891 | Entellan mountin media |
Epitope Retrieval Solution 1 | Leica Biosystems | AR9961 | Citrate based pH 6.0 epitope retrieval solution |
Epitope Retrieval Solution 2 | Leica Biosystems | AR9640 | EDTA based pH 9.0 epitope retrieval solution |
Eppendorf 0.2 ml PCR Tubes, clear | Eppendorf | 951010006 | Tubes |
Eppendorf DNA LoBind Tubes, 1.5 mL | Eppendorf | 22431021 | Tubes |
Ethanol | DIAPATH | A0123 | IHC deparaffinization reagent |
ImmEdge Pen Hydrophobic Barrier Pen | Vector Laboratories | H4000 | Hydrophobic Pen |
ImmPACT DAB Peroxidase | Vector Laboratories | SK4105 | HRP substrate |
ImmPRESS AntiRabbit Ig Reagent Peroxidase | Vector Laboratories | MP740150 | Secondary antibody |
ImmPRESS AntiMouse Ig Reagent Peroxidase | Vector Laboratories | MP740250 | Secondary antibody |
Integrative Genomics Viewer (IGV) | Broad Institute | - | https://software.broadinstitute.org/software/igv/home |
Ion AmpliSeq Comprehensive Cancer Panel | Thermofisher Scientific | 4477685 | Multiplexed target selection of 409 cancer related gene. https://assets.thermofisher.com/TFS-Assets/CSD/Reference-Materials/ion-ampliseq-cancer-panel-gene-list.pdf |
Ion AmpliSeq Library Kit 2.0 | Thermofisher Scientific | 4480441 | Preparation of amplicon libraries using Ion AmpliSeq panels |
Ion Chef Instrument | Thermofisher Scientific | 4484177 | Automated library preparation, template preparation and chip loading |
Ion PI Chip Kit v3 or Ion 540 Chip | Thermofisher Scientific | A26771 or A27766 | Barcoded chips for sequencing |
Ion PI Hi-Q Chef Kit or Ion 540 Kit-Chef | Thermofisher Scientific | A27198 or A30011 | Template preparation |
Ion PI Hi-Q Sequencing 200 Kit or Ion S5 Sequencing Kit | Thermofisher Scientific | A26433 or A30011 | Sequencing |
Ion Proton or Ion GeneStudio S5 System | Thermofisher Scientific | 4476610 or A38196 | Sequencing system |
Ion Reporter Software - AmpliSeq Comprehensive Cancer Panel tumour-normal pair | Thermofisher Scientific | 4487118 | Workflow |
Ion Reporter Software - uploader plugin | Thermofisher Scientific | 4487118 | Data analysis tool |
Ion Torrent Suite Software - Coverege Analysis plugin | Thermofisher Scientific | 4483643 | Plugin that describe the level of sequance coverage produced |
Ion Torrent Suite Software - Variant Caller plugin | Thermofisher Scientific | 4483643 | Plugin able to identify single-nucleotide polymorphisms (SNPs), insertions and deletions in a sample across a reference |
Ion Xpress Barcode Adapters 1-96 Kit | Thermofisher Scientific | 4474517 | Unique barcode adapters |
NanoDrop 2000/2000c Spectrophotometers | Thermofisher Scientific | ND-2000 | DNA purity detection |
NCBI reference sequence (RefSeq) database | NCBI | - | https://www.ncbi.nlm.nih.gov/refseq/ |
Platinum PCR SuperMix High Fidelity | Fisher Scientific | 12532-016 or 12532-024 | SuperMix for PCR amplification; high-fidelity PCR mix |
QIAamp DNA Blood Mini Kit | Quiagen | 51106 0r 51104 | DNA blood extraction kit |
QIAamp DNA FFPE Tissue | Quiagen | 56404 | DNA FFPE tissue extraction kit |
Qubit 2.0 Fluorometer | Thermofisher Scientific | Q32866 | DNA quantification |
Qubit dsDNA BR Assay Kit | Thermofisher Scientific | Q32850 | Kit for DNA quantification on Qubit 2.0 Fluorometer |
TBST | home made | - | Tris-buffered saline (TBS) and 0.1% of Tween 20 |
Tissue-Tek Prisma Plus & Tissue-Tek Film | Sakura Europe | 6172 | Automated tissue slide stainer instrument |
Variant Effect Predictor (VEP) software | EMBI-EBI | - | http://grch37.ensembl.org/Homo_sapiens /Tools/VEP |
Xilene, mix of isomeres | Carlo Erba | 492306 | IHC deparaffinization reagent |
Zapytaj o uprawnienia na użycie tekstu lub obrazów z tego artykułu JoVE
Zapytaj o uprawnieniaThis article has been published
Video Coming Soon
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone