Virtual karyotype is the digital information reflecting a karyotype,
resulting from the analysis of short sequences of DNA from specific
loci all over the genome, which are isolated and enumerated. It detects genomic copy number variations at a higher resolution for level than conventional karyotyping or chromosome-based comparative genomic hybridization (CGH). The main methods used for creating virtual karyotypes are array-comparative genomic hybridization and SNP arrays.
Background
A karyotype (Fig 1) is the characteristic chromosome complement of a eukaryote species.
A karyotype is typically presented as an image of the chromosomes from a
single cell arranged from largest (chromosome 1) to smallest
(chromosome 22), with the sex chromosomes (X and Y) shown last.
Historically, karyotypes have been obtained by staining cells after they
have been chemically arrested during cell division. Karyotypes have
been used for several decades to identify chromosomal abnormalities in
both germline and cancer cells. Conventional karyotypes can assess the
entire genome for changes in chromosome structure and number, but the
resolution is relatively coarse, with a detection limit of 5-10Mb.
Method
Recently, platforms for generating high-resolution karyotypes in silico from disrupted DNA have emerged, such as array comparative genomic hybridization (arrayCGH) and SNP arrays.
Conceptually, the arrays are composed of hundreds to millions of probes
which are complementary to a region of interest in the genome. The
disrupted DNA from the test sample is fragmented, labeled, and
hybridized to the array. The hybridization signal intensities for each
probe are used by specialized software to generate a log2ratio of
test/normal for each probe on the array. Knowing the address of each
probe on the array and the address of each probe in the genome, the
software lines up the probes in chromosomal order and reconstructs the
genome in silico (Fig 2 and 3).
Virtual karyotypes have dramatically higher resolution than
conventional cytogenetics. The actual resolution will depend on the
density of probes on the array. Currently, the Affymetrix
SNP6.0 is the highest density commercially available array for virtual
karyotyping applications. It contains 1.8 million polymorphic and
non-polymorphic markers for a practical resolution of 10-20kb—about the
size of a gene. This is approximately 1000-fold greater resolution than
karyotypes obtained from conventional cytogenetics.
Virtual karyotypes can be performed on germline samples for constitutional disorders, and clinical testing is available from dozens of CLIA certified laboratories (genetests.org). Virtual karyotyping can also be done on fresh or formalin-fixed paraffin-embedded tumors. CLIA-certified laboratories offering testing on tumors include Creighton Medical Laboratories (fresh and paraffin embedded tumor samples) and CombiMatrix Molecular Diagnostics (fresh tumor samples).
Different platforms for virtual karyotyping
Array-based
karyotyping can be done with several different platforms, both
laboratory-developed and commercial. The arrays themselves can be
genome-wide (probes distributed over the entire genome) or targeted
(probes for genomic regions known to be involved in a specific disease)
or a combination of both. Further, arrays used for karyotyping may use
non-polymorphic probes, polymorphic probes (i.e., SNP-containing), or a
combination of both. Non-polymorphic probes can provide only copy number
information, while SNP arrays can provide both copy number and
loss-of-heterozygosity (LOH) status in one assay. The probe types used
for non-polymorphic arrays include cDNA, BAC clones (e.g., BlueGnome), and oligonucleotides (e.g., Agilent, Santa Clara, CA, USA or Nimblegen, Madison, WI, USA). Commercially available oligonucleotide SNP arrays can be solid phase (Affymetrix, Santa Clara, CA, USA) or bead-based (Illumina,
SanDiego, CA, USA). Despite the diversity of platforms, ultimately they
all use genomic DNA from disrupted cells to recreate a high resolution
karyotype in silico. The end product does not yet have a consistent name, and has been called virtual karyotyping, digital karyotyping, molecular allelokaryotyping, and molecular karyotyping. Other terms used to describe the arrays used for karyotyping include SOMA (SNP oligonucleotide microarrays) and CMA (chromosome microarray). Some consider all platforms to be a type of array comparative genomic hybridization
(arrayCGH), while others reserve that term for two-dye methods, and
still others segregate SNP arrays because they generate more and
different information than two-dye arrayCGH methods.
Applications
Detecting copy-number changes
Copy
number changes can be seen in both germline and tumor samples. Copy
number changes can be detected by arrays with non-polymorphic probes,
such as arrayCGH, and by SNP-based arrays. Human beings are diploid, so a
normal copy number is always two for the non-sex chromosomes.
- Deletions: A deletion is the loss of genetic material. The deletion can be heterozygous (copy number of 1) or homozygous (copy number of 0, nullisomy). Microdeletion syndromes are examples of constitutional disorders due to small deletions in germline DNA. Deletions in tumor cells may represent the inactivation of a tumor suppressor gene, and may have diagnostic, prognostic, or therapeutic implications.
- Gains: A copy number gain represents the gain of genetic material. If the gain is of just one additional copy of a segment of DNA, it may be called a duplication (Fig 4). If there is one extra copy of an entire chromosome, it may be called a trisomy. Copy number gains in germline samples may be disease-associated or may be a benign copy number variant. When seen in tumor cells, they may have diagnostic, prognostic, or therapeutic implications.
- Amplifications: Technically, an amplification is a type of copy number gain in which there is a copy number >10. In the context of cancer biology, amplifications are often seen in oncogenes. This could indicate a worse prognosis, help categorize the tumor, or indicate drug eligibility. An example of drug eligibility is Her2Neu amplification and Herceptin, and an image of Her2Neu amplification detected by SNP array virtual karyotyping is provided (Fig 5).
Loss of heterozygosity (LOH), autozygous segments, and uniparental disomy
Autozygous segments and uniparental disomy
(UPD) are diploid/'copy neutral' genetic findings and therefore are
only detectable by SNP-based arrays. Both autozygous segments and UPD
will show loss of heterozygosity
(LOH) with a copy number of two by SNP array karyotyping. The term Runs
of Homozgygosity (ROH), is a generic term that can be used for either
autozygous segments or UPD.
- Autozygous segment: An autozygous segment is bi-parental and seen only in the germline. They are extended runs of homozygous markers in the genome, and they occur when an identical haplotype block is inherited from both parents. They are also called "identical by descent" (IBD) segments, and they can be used for homozygosity mapping.
- Uniparental Disomy: UPD occurs when both copies of a gene or genomic region are inherited from the same parent. This is uniparental, in contrast to autozygous segments which are bi-parental. When present in the germline, they can be harmless or associated with disease, such as Prader-Willi or Angelman syndromes. Also in contrast to autozygosity, UPD can develop in tumor cells, and this is referred to as acquired UPD or copy neutral LOH in the literature (Fig 6).
Figure 7 is a SNP array virtual
karyotype from a colorectal carcinoma demonstrating deletions, gains,
amplifications, and acquired UPD (copy neutral LOH).
Examples of clinical cancer applications
A
virtual karyotype can be generated from nearly any tumor, but the
clinical meaning of the genomic aberrations identified are different for
each tumor type. Clinical utility varies and appropriateness is best
determined by an oncologist or pathologist in consultation with the
laboratory director of the lab performing the virtual karyotype. Below
are examples of types of cancers where the clinical implications of
specific genomic aberrations are well established. This list is
representative, not exhaustive. The web site for the Cytogenetics
Laboratory at Wisconsin State Laboratory of Hygiene has additional
examples of clinically relevant genetic changes that are readily
detectable by virtual karyotyping.
Neuroblastoma
Based on a series of 493 neuroblastoma
samples, it has been reported that overall genomic pattern, as tested
by array-based karyotyping, is a predictor of outcome in neuroblastoma:
- Tumors presenting exclusively with whole chromosome copy number changes were associated with excellent survival.
- Tumors presenting with any kind of segmental chromosome copy number changes were associated with a high risk of relapse.
- Within tumors showing segmental alterations, additional independent predictors of decreased overall survival were MYCN amplification, 1p and 11q deletions, and 1q gain.
Earlier publications categorized neuroblastomas into three major subtypes based on cytogenetic profiles:
- Subtype 1: favorable neuroblastoma with near triploidy and a predominance of numerical gains and losses, mostly representing non-metastatic NB stages 1, 2 and 4S.
- Subtypes 2A and 2B: found in unfavorable widespread neuroblastoma, stages 3 and 4, with 11q loss and 17q gain without MYCN amplification (subtype 2A) or with MYCN amplification often together with 1p deletions and 17q gain (subtype 2B).
Wilms' tumor
Tumor-specific loss-of-heterozygosity (LOH) for chromosomes 1p and 16q identifies a subset of Wilms' tumor
patients who have a significantly increased risk of relapse and death.
LOH for these chromosomal regions can now be used as an independent
prognostic factor together with disease stage to target intensity of
treatment to risk of treatment failure.
Renal-cell carcinoma
Renal epithelial neoplasms have characteristic cytogenetic aberrations that can aid in classification.
- Clear cell carcinoma: loss of 3p
- Papillary carcinoma: trisomy 7 and 17
- Chromophobe carcinoma: hypodiploid with loss of chromosomes 1, 2, 6, 10, 13, 17, 21
Array-based karyotyping can be used to identify characteristic
chromosomal aberrations in renal tumors with challenging morphology. Array-based karyotyping performs well on paraffin embedded tumors and is amenable to routine clinical use.
In addition, recent literature indicates that certain chromosomal
aberrations are associated with outcome in specific subtypes of renal
epithelial tumors.
Clear cell renal carcinoma: del 9p and del 14q are poor prognostic indicators.
Papillary renal cell carcinoma: duplication of 1q marks fatal progression.
Chronic lymphocytic leukemia
Array-based karyotyping is a cost-effective alternative to FISH for detecting chromosomal abnormalities in chronic lymphocytic leukemia (CLL). Several clinical validation studies have shown >95% concordance with the standard CLL FISH panel.
In addition, many studies using array-based karyotyping have identified
'atypical deletions' missed by the standard FISH probes and acquired
uniparental disomy at key loci for prognostic risk in CLL.
Four main genetic aberrations are recognized in CLL cells that have a major impact on disease behavior.
- Deletions of part of the short arm of chromosome 17 (del 17p) which target p53 are particularly deleterious. Patients with this abnormality have significantly short interval before they require therapy and a shorter survival. This abnormality is found in 5–10% of patients with CLL.
- Deletions of the long arm on chromosome 11 (del 11q) are also unfavorable although not to the degree seen with del 17p. The abnormality targets the ATM gene and occurs infrequently in CLL (5–10%).
- Trisomy 12, an additional chromosome 12, is a relatively frequent finding occurring in 20–25% of patients and imparts an intermediate prognosis.
- Deletion of 13q14 (del 13q14) is the most common abnormality in CLL with roughly 50% of patients with cells containing this defect. When del 13q14 is seen in isolation, patients have the best prognosis and most will live many years, even decades, without the need for therapy.
Multiple myeloma
Avet-Loiseau, et al. in Journal of Clinical Oncology, used SNP array karyotyping of 192 multiple myeloma (MM) samples to identify genetic lesions associated with prognosis, which were then validated in a separate cohort (n = 273).
In MM, lack of a proliferative clone makes conventional cytogenetics
informative in only ~30% of cases. FISH panels are useful in MM, but
standard panels would not detect several key genetic abnormalities
reported in this study.
- Virtual karyotyping identified chromosomal abnormalities in 98% of MM cases
- del(12p13.31)is an independent adverse marker
- amp(5q31.1) is a favorable marker
- The prognostic impact of amp(5q31.1) over-rides that of hyperdiploidy and also identifies patients who greatly benefit from high-dose therapy.
Array-based karyotyping cannot detect balanced translocations, such
as t(4;14) seen in ~15% of MM. Therefore, FISH for this translocation
should also be performed if using SNP arrays to detect genome-wide copy
number alterations of prognostic significance in MM.
Medulloblastoma
Array-based karyotyping of 260 medulloblastomas by Pfister S, et al. resulted in the following clinical subgroups based on cytogenetic profiles:
- Poor prognosis: gain of 6q or amplification of MYC or MYCN
- Intermediate: gain of 17q or an i(17q) without gain of 6q or amplification of MYC or MYCN
- Excellent prognosis: 6q and 17q balanced or 6q deletion
Oligodendroglioma
The 1p/19q co-deletion is considered a "genetic signature" of oligodendroglioma.
Allelic losses on 1p and 19q, either separately or combined, are more
common in classic oligodendrogliomas than in either astrocytomas or
oligoastrocytomas.
In one study, classic oligodendrogliomas showed 1p loss in 35 of 42
(83%) cases, 19q loss in 28 of 39 (72%), and these were combined in 27
of 39 (69%) cases; there was no significant difference in 1p/19q loss of
heterozygosity status between low-grade and anaplastic
oligodendrogliomas. 1p/19q co-deletion has been correlated with both chemosensitivity and improved prognosis in oligodendrogliomas. Most larger cancer treatment centers routinely check for the deletion of 1p/19q as part of the pathology
report for oligodendrogliomas. The status of the 1p/19q loci can be
detected by FISH or virtual karyotyping. Virtual karyotyping has the
advantage of assessing the entire genome in one assay, as well as the
1p/19q loci. This allows assessment of other key loci in glial tumors,
such as EGFR and TP53 copy number status.
Whereas the prognostic relevance of 1p and 19q deletions is well
established for anaplastic oligodendrogliomas and mixed
oligoastrocytomas, the prognostic relevance of the deletions for
low-grade gliomas is more controversial. In terms of low-grade gliomas, a
recent study also suggests that 1p/19q co-deletion may be associated
with a (1;19)(q10;p10) translocation which, like the combined 1p/19q
deletion, is associated with superior overall survival and
progression-free survival in low-grade glioma patients. Oligodendrogliomas show only rarely mutations in the p53 gene, which is in contrast to other gliomas. Epidermal growth factor receptor
amplification and whole 1p/19q codeletion are mutually exclusive and
predictive of completely different outcomes, with EGFR amplification
predicting poor prognosis.
Glioblastoma
Yin et al. studied 55 glioblastoma
and 6 GBM cell lines using SNP array karyotyping. Acquired UPD was
identified at 17p in 13/61 cases. A significantly shortened survival
time was found in patients with 13q14 (RB) deletion or 17p13.1 (p53)
deletion/acquired UPD. Taken together, these results suggest that this
technique is a rapid, robust, and inexpensive method to profile
genome-wide abnormalities in GBM. Because SNP array karyotyping can be
performed on paraffin embedded tumors, it is an attractive option when
tumor cells fail to grow in culture for metaphase cytogenetics or when
the desire for karyotyping arises after the specimen has been formalin
fixed.
The importance of detecting acquired UPD (copy neutral LOH) in glioblastoma:
- Of patients with 17p abnormality, ~50% were deletions and ~50% were aUPD
- Both 17p del and 17p UPD were associated with worse outcome.
- 9/13 had homozygous TP53 mutations underlying the 17p UPD.
In addition, in cases with uncertain grade by morphology, genomic profiling can assist in diagnosis.
- Concomitant gain of 7 and loss of 10 is essentially pathognomonic for GBM
- EGFR amplification, loss of PTEN (on 10q), and loss of p16 (on 9p) occur almost exclusively in glioblastoma and can provide means to distinguish anaplastic astrocytoma from glioblastoma.
Acute lymphoblastic leukemia
Cytogenetics, the study of characteristic large changes in the chromosomes of cancer cells, has been increasingly recognized as an important predictor of outcome in acute lymphoblastic leukemia (ALL).
NB: Balanced translocations cannot be detected by array-based karyotyping (see Limitations below).
Some cytogenetic subtypes have a worse prognosis than others. These include:
- A translocation between chromosomes 9 and 22, known as the Philadelphia chromosome, occurs in about 20% of adult and 5% in pediatric cases of ALL.
- A translocation between chromosomes 4 and 11 occurs in about 4% of cases and is most common in infants under 12 months.
- Not all translocations of chromosomes carry a poorer prognosis. Some translocations are relatively favorable. For example, Hyperdiploidy (>50 chromosomes) is a good prognostic factor.
- Genome-wide assessment of copy number changes can be done by conventional cytogenetics or virtual karyotyping. SNP array virtual karyotyping can detect copy number changes and LOH status, while arrayCGH can detect only copy number changes. Copy neutral LOH (acquired uniparental disomy) has been reported at key loci in ALL, such as CDKN2A gene at 9p, which have prognostic significance. SNP array virtual karyotyping can readily detect copy neutral LOH. Array CGH, FISH, and conventional cytogenetics cannot detect copy neutral LOH.
Cytogenetic change | Risk category |
---|---|
Philadelphia chromosome | Poor prognosis |
t(4;11)(q21;q23) | Poor prognosis |
t(8;14)(q24.1;q32) | Poor prognosis |
Complex karyotype (more than four abnormalities) | Poor prognosis |
Low hypodiploidy or near triploidy | Poor prognosis |
High hyperdiploidy | Good prognosis |
del(9p) | Good prognosis |
Correlation of prognosis with bone marrow cytogenetic finding in acute lymphoblastic leukemia
Prognosis | Cytogenetic findings |
---|---|
Favorable | Hyperdiploidy > 50 ; t (12;21) |
Intermediate | Hyperdioloidy 47 -50; Normal(diploidy); del (6q); Rearrangements of 8q24 |
Unfavorable | Hypodiploidy-near haploidy; Near tetraploidy; del (17p); t (9;22); t (11q23) |
Unclassified ALL is considered to have an intermediate prognosis.
Myelodysplastic syndrome
Myelodysplastic syndrome
(MDS) has remarkable clinical, morphological, and genetic
heterogeneity. Cytogenetics play a decisive role in the World Health
Organization's classification-based International Prognostic Scoring
System (IPSS) for MDS.
- Good Prognosis: normal karyotype, isolated del(5q), isolated del(20q), -Y
- Poor Prognosis: complex abnormalities (i.e., >=3 abnormalities), −7 or del(7q)
- Intermediate Prognosis: all other abnormalities, including trisomy 8 and del(11q)
In a comparison of metaphase cytogenetics, FISH panel, and SNP array
karyotyping for MDS, it was found that each technique provided a similar
diagnostic yield. No single method detected all defects, and detection
rates improved by ~5% when all three methods were used.
Acquired UPD, which is not detectable by FISH or cytogenetics,
has been reported at several key loci in MDS using SNP array
karyotyping, including deletion of 7/7q.
Myeloproliferative neoplasms/myeloproliferative disorders
Philadelphia chromosome–negative myeloproliferative neoplasms
(MPNs) including polycythemia vera, essential thrombocythemia, and
primary myelofibrosis show an inherent tendency for transformation into
leukemia (MPN-blast phase), which is accompanied by acquisition of
additional genomic lesions.
In a study of 159 cases,
SNP-array analysis was able to capture practically all cytogenetic
abnormalities and to uncover additional lesions with potentially
important clinical implications.
- The number of genomic alterations was more than 2 to 3 times greater in the blast phase as in the chronic phase of the disease.
- Deletion of 17p (TP53) was significantly associated with prior exposure to hydroxyurea as well as a complex karyotype in samples with MPN-blast crisis. Both deletion and 17p copy neutral LOH, were associated with a complex karyotype, a poor prognostic marker in myeloid malignancies. Copy neutral LOH (acquired UPD)is readily detectably by SNP array karyotype, but not by cytogenetics, FISH, or array CGH.
- Blast phase patients with loss of chromosomal material on 7q showed poor survival. Loss of 7q is known to be predictive for rapid progression and poor response in AML therapy. MPN-blast phase patients with cytogenetically undetectable 7q copy neutral-LOH had comparable survival rates to those with 7/7q in their leukemic cells.
- 9p copy neutral-LOH with homozygous JAK2 mutation was also linked to an inferior outcome in MPN-blast crisis in comparison with patients with either heterozygous JAK2V617F or wild-type JAK2. In contrast to LOH on 17p, the prognostic impact of 9pCNN-LOH was independent of established risk factors such as 7/7q, 5q, or complex karyotype.
Colorectal cancer
Identification of biomarkers in colorectal cancer
is particularly important for patients with stage II disease, where
less than 20% have tumor recurrence. 18q LOH is an established biomarker
associated with high risk of tumor recurrence in stage II colon cancer. Figure 7 shows a SNP array karyotype of a colorectal carcinoma (whole genome view).
Colorectal cancers are classified into specific tumor phenotypes based on molecular profiles
which can be integrated with the results of other ancillary tests, such
as microsatellite instability testing, IHC, and KRAS mutation status:
- Chromosomal instability (CIN) which have allelic imbalance at a number of chromosomal loci, including 5q, 8p, 17p, and 18q (Fig 7).
- Microsatellite instability (MSI) which tend to have diploid karyotypes.
Malignant rhabdoid tumors
Malignant rhabdoid tumors
are rare, highly aggressive neoplasms found most commonly in infants
and young children. Due to their heterogenous histologic features,
diagnosis can often be difficult and misclassifications can occur. In
these tumors, the INI1 gene (SMARCB1)on chromosome 22q functions as a
classic tumor suppressor gene. Inactivation of INI1 can occur via
deletion, mutation, or acquired UPD.
In a recent study,
SNP array karyotyping identified deletions or LOH of 22q in 49/51
rhabdoid tumors. Of these, 14 were copy neutral LOH (or acquired UPD),
which is detectable by SNP array karyotyping, but not by FISH,
cytogenetics, or arrayCGH. MLPA detected a single exon homozygous
deletion in one sample that was below the resolution of the SNP array.
SNP array karyotyping can be used to distinguish, for example, a
medulloblastoma with an isochromosome 17q from a primary rhabdoid tumor
with loss of 22q11.2. When indicated, molecular analysis of INI1 using
MLPA and direct sequencing may then be employed. Once the
tumor-associated changes are found, an analysis of germline DNA from the
patient and the parents can be done to rule out an inherited or de novo
germline mutation or deletion of INI1, so that appropriate recurrence
risk assessments can be made.
Uveal melanoma
The most important genetic alteration associated with poor prognosis in uveal melanoma is loss of an entire copy of Chromosome 3 (Monosomy 3), which is strongly correlated with metastatic spread. Gains on chromosomes 6 and 8
are often used to refine the predictive value of the Monosomy 3 screen,
with gain of 6p indicating a better prognosis and gain of 8q indicating
a worse prognosis in disomy 3 tumors.
In rare instances, monosomy 3 tumors may duplicate the remaining copy
of the chromosome to return to a disomic state referred to as isodisomy. Isodisomy 3 is prognostically equivalent to monosomy 3, and both can be detected by tests for chromosome 3 loss of heterozygosity.
Limitations
Unlike
karyotypes obtained from conventional cytogenetics, virtual karyotypes
are reconstructed by computer programs using signals obtained from disrupted
DNA. In essence, the computer program will correct translocations when
it lines up the signals in chromosomal order. Therefore, virtual
karyotypes cannot detect balanced translocations and inversions.
They also can only detect genetic aberrations in regions of the genome
that are represented by probes on the array. In addition, virtual
karyotypes generate a relative copy number normalized against a
diploid genome, so tetraploid genomes will be condensed into a diploid
space unless renormalization is performed. Renormalization requires an
ancillary cell-based assay, such as FISH, if one is using arrayCGH. For
karyotypes obtained from SNP-based arrays, tetraploidy can often be
inferred from the maintenance of heterozygosity within a region of
apparent copy number loss.
Low-level mosaicism or small subclones may not be detected by virtual
karyotypes because the presence of normal cells in the sample will
dampen the signal from the abnormal clone. The exact point of failure,
in terms of the minimal percentage of neoplastic cells, will depend on
the particular platform and algorithms used. Many copy number analysis
software programs used to generate array-based karyotypes will falter
with less than 25–30% tumor/abnormal cells in the sample. However, in
oncology applications this limitation can be minimized by tumor
enrichment strategies and software optimized for use with oncology
samples. The analysis algorithms are evolving rapidly, and some are even
designed to thrive on ‘normal clone contamination’, so it is anticipated that this limitation will continue to dissipate.