Literature DB >> 25368816

Cancer cytogenetics: methodology revisited.

Thomas S K Wan1.   

Abstract

The Philadelphia chromosome was the first genetic abnormality discovered in cancer (in 1960), and it was found to be consistently associated with CML. The description of the Philadelphia chromosome ushered in a new era in the field of cancer cytogenetics. Accumulating genetic data have been shown to be intimately associated with the diagnosis and prognosis of neoplasms; thus, karyotyping is now considered a mandatory investigation for all newly diagnosed leukemias. The development of FISH in the 1980s overcame many of the drawbacks of assessing the genetic alterations in cancer cells by karyotyping. Karyotyping of cancer cells remains the gold standard since it provides a global analysis of the abnormalities in the entire genome of a single cell. However, subsequent methodological advances in molecular cytogenetics based on the principle of FISH that were initiated in the early 1990s have greatly enhanced the efficiency and accuracy of karyotype analysis by marrying conventional cytogenetics with molecular technologies. In this review, the development, current utilization, and technical pitfalls of both the conventional and molecular cytogenetics approaches used for cancer diagnosis over the past five decades will be discussed.

Entities:  

Keywords:  Cancer cytogenetics; FISH; Karyotyping; Molecular cytogenetics

Mesh:

Year:  2014        PMID: 25368816      PMCID: PMC4215412          DOI: 10.3343/alm.2014.34.6.413

Source DB:  PubMed          Journal:  Ann Lab Med        ISSN: 2234-3806            Impact factor:   3.464


INTRODUCTION

The discovery of a tiny abnormal chromosome, the Philadelphia chromosome, as a hallmark of CML in 1960 by Peter Nowell and David Hungerford marked the first time cancer was shown to result from a specific genetic abnormality [1]. As cytogenetic techniques improved, in 1973, Rowley [2] discovered the existence of a translocation between the long arms of chromosome 9 and 22 in CML. Subsequent work revealed that this translocation resulted in a new fusion protein that was expressed in the cancer cells [3]. Strikingly, the description of the Philadelphia chromosome ushered in a new era of genetic diagnosis. Over the past several decades, accumulating genetic data has been shown to be intimately associated with the diagnosis and prognosis of neoplasms, thereby moving cancer cytogenetics out of research laboratories and into clinical practice. Recognizing the association between specific cytogenetic abnormalities and certain morphologic and clinical features, the World Health Organization has categorized four unique AML subtypes according to cytogenetics [4]. Therefore, conventional cytogenetic analysis is considered mandatory for all newly diagnosed leukemias, owing to its usefulness in diagnosis, classification, and prognostication. FISH can be used to map loci on specific chromosomes [5], detect both numerical and structural chromosomal abnormalities, and reveal cryptic abnormalities. It has overcome many of the drawbacks of karyotyping, such as low specimen cell yield, low mitotic index, poor quality metaphases, and other technical difficulties. Currently, FISH is used as an indispensable tool for the detection of structural rearrangements such as translocations, inversions, insertions, and microdeletions, and for the identification of marker chromosomes and the delineation of chromosome breakpoints [6, 7]. Therefore, FISH has greatly enhanced the efficiency and accuracy of karyotype analysis by bringing together conventional cytogenetics and molecular technologies. This review summarizes the development, current utilization, and technical pitfalls of the conventional and molecular cytogenetic approaches used in clinical laboratories for cancer diagnosis.

CONVENTIONAL CYTOGENETICS

Chromosome analysis is a simple technique. Under optimal conditions, in most cases of acute leukemia, clonal cytogenetic abnormalities are detected by using this method. Chromosome analysis requires five principal steps: 1) cell culture, 2) harvest of metaphase chromosomes, 3) chromosome preparation, 4) banding and staining using a special protocol, and 5) analysis by light microscopy or karyotype assisted computer analysis (Fig. 1). The discovery that colchicine (or colcemid) pretreatment resulted in mitotic arrest and that treatment of arrested cells with a hypotonic solution improved the yield and quality of metaphases spreads. Therefore, counted and analyzed individual chromosomes in human cells are then possible. Chromosome analysis provides an overview of all chromosomal aberrations in a single tumor cell.
Fig. 1

Protocol for the preparation of a karyotype from a leukemic patient.

1. Technology considerations

Chromosomal studies of malignancies pose a particular technical challenge. As the results are so unpredictable, there is no a single technique that can be guaranteed to work consistently and reliably. Therefore, every laboratory should adopt a slight variation of the basic protocol. In addition to setting up a bone marrow suspension cell culture of hematologic neoplasms, peripheral blood can also be investigated, if it contains more than 10% circulating blasts or immature cells. In addition, a lymph node biopsy is required, as lymph nodes are the preferred tissue for studies of most lymphomas [8]. The duration of the cell cycle in malignant cells varies greatly among patients; a range of 16 hr to 292 hr was obtained in a series of 37 patients with AML [9]. Therefore, one of the most significant factors in obtaining a successful result is setting up multiple cultures to maximize the chances of obtaining optimal malignant cell divisions: 1) direct harvest of bone marrow cells, 2) overnight culture, and 3) overnight culture with synchronization (by blocking at S-phase of the cell cycle) [10]. High-resolution banding of long chromosomes with good morphology can be achieved by applying synchronization techniques [10]. It enables the identification of subtle structural chromosome aberrations that are commonly found in malignant cells. However, it has been reported that fluorodeoxyuridine synchronization cultures are inferior to short-term cultures for chromosome analysis in ALL [11]. ALL is a frustrating disease for most cytogeneticists, as it has several technical challenges, including frequent poor chromosome morphology, low mitotic index, and samples that have a marked tendency to clot during harvest.

2. Acquired abnormal clones versus constitutional chromosomal anomalies or cytogenetic heteromorphisms

In cases where the cytogenetic analysis reveals only abnormal metaphases, especially in those with a balanced translocation, it may be necessary to rule out a constitutional chromosomal anomaly. In addition, the constitutive heterochromatic regions just below the centromeres of chromosomes 1, 9, and 16 and the telomeric end of the long arm of the Y-chromosome can vary widely in size among individuals and can sometimes appear abnormal (Fig. 2A). Constitutional chromosomal anomalies are best differentiated from differentiate acquired abnormal clones through cytogenetic examination of phytohemagglutinin (PHA)-stimulated lymphocytes from peripheral blood in disease remission. The Cytogenetics Resource Committee (CyRC) of the College of American Pathologists (CAP)/American College of Medical Genetics & Genomics (ACMG) has asked participants not to include heteromorphisms when responding to a challenge of the cytogenetics survey. However, the guidelines for reporting heteromorphisms have not been standardized. Of 223 cytogenetic laboratories, 136 (61%) stated that they would include selected heteromorphism information identified by routine G-banding in a clinical cytogenetic report in a CyRC survey on cytogenetic heteromorphisms [12]. The majority of the clinical cytogenetics surveyed would not include the more common chromosomal variants (such as prominent short arms, large or double satellites, and increased stalk length or double stalks on acrocentric chromosomes, and long arm heterochromatin variations of chromosomes 1, 9, 16, and Y), but would report most pericentric inversions [such as inv(9)(p11q13); Fig. 2B] and other rare heteromorphisms [12].
Fig. 2

Partial karyotype showing normal variants and chromosome abnormalities of leukemia. (A) Normal variant with 1qh+ (arrow), (B) Normal variant with inv(9)(p11q13) (arrow), (C) dup(1)(q21q32) chromosome with duplication of a 1q21-q32 chromosomal fragment (arrow), (D) trp(1)(q21q32) chromosome with triplication of a 1q21-q32 chromosomal fragment (arrow), (E) del(7)(q) chromosome with terminal deletion ofa7q22-qter chromosomal fragment (arrow), (F) del(5)(q13q33) chromosome with an interstitial deletion of a 5q13-q33 chromosomal fragment (arrow), (G) der(1)t(1;1)(p35;q25) chromosome with loss of a 1p35-pter chromosomal fragment and duplication of a 1q25-qter chromosomal fragment (arrow), (H) i(17)(q10) chromosome with a loss of the whole short arm and duplication of the whole long of chromosome 17 (arrow), (I) t(9;22)(q34;q11.2), a balanced translocation between 9q34 and 22q11.2 (arrows), (J) t(2;9;22)(q37;q34;q11.2), a balanced three-way translocation between 2q37, 9q34, and 22q11.2 (arrows), (K) der(1;7)(q10;p10), a centric fusion of the whole arms of 1q and 7p with a gain of 1q and a loss of 7q (arrow), (L) der(5)ins(5;?)(q13;?) chromosome with an unknown chromosomal fragment inserted into 5q13 (arrow), (M) inv(16)(p13q22) chromosome with G-banding (arrow), (N) inv(16)(p13q22) chromosome with R-banding (arrow).

Constitutional pericentric inversion of chromosome 9 [inv(9)(p11q13)] occurs in 0.8% to 2% of the normal population and has long been considered a normal variant. Whether constitutional inv(9) is a predisposing factor for cancer remains controversial. We were the first group to document a case of an acquired pericentric inv(9) in essential thrombocythemia [13]. Since then, several other hematological malignancies with acquired inv(9) have been reported. However, inv(9) is not over-represented in patients with hematological malignancy; therefore, there is no evidence to suggest that the presence of constitutional inv(9) increases the risk of hematological malignancy [13, 14]. Furthermore, some abnormalities are both acquired and inherited. For example, trisomy 21 is common both as an inherited abnormality in Down syndrome and as an acquired abnormality in AML, MDS, and childhood ALL [15, 16, 17]. Trisomy 21 is the second most common trisomy in AML and MDS after trisomy 8 [18]. Therefore, if trisomy 21 is found in a karyotype, it is necessary to consider both inherited and acquired abnormalities. However, most individuals with Down syndrome have characteristic physical features.

3. Mechanisms that generate chromosome abnormalities

1) Net gain and loss of chromosomal material

In general, gain or loss of chromosomal material results in gene amplification or loss of heterozygosity, respectively. Two main classes of cancer-relevant genes, oncogenes and tumor suppressor genes have been recognized as the major pathogenic targets for cancer-associated karyotypic abnormalities. Numerical chromosome aberrations are detected as the sole clonal change in approximately 15% of all cytogenetically abnormal hematological malignancies, and they show substantial variations in frequency among the various disease subgroups [19]. Despite their relatively frequent occurrence, numerical changes, including single autosomal trisomies, have received less attention than structural changes. There are several reasons for this discrepancy. First, the high degree of correlation between cytogenetic changes and morphology that is observed with structural changes like translocation is lacking for numerical aberrations. Second, the role that numerical changes play in leukemogenesis tends to be obscured. Third, the molecular consequences of whole chromosome gains and losses are not yet clear. Net gain of chromosomal material may be caused by duplication (Fig. 2C) and triplication (Fig. 2D) of particular chromosomal segments or regions, which may also lead to an unbalanced gene product. Mis-segregation of entire chromosomes in cell division may also result in trisomies or more extensive polysomies [20]. A single autosomal trisomy is a common numerical cytogenetic abnormality in hematological malignancies, and it shows a predilection for myeloid disorders [15, 16, 18, 21]. However, gain of a sex chromosome as the sole acquired abnormality is very rare in hematological malignancies [22]. Interestingly, hand-mirror cell morphology has been described in AML with trisomy 13 [23], particularly in AML-M0 and -M1, and it may not be detected in the more differentiated subtypes of AML [24]. In addition, chromosome gain is nonrandom in childhood ALL, and eight chromosomes (+4, +6, +10, +14, +17, +18, +21, and +X) account for almost 80% of all gains. However, trisomy 4 has also been reported as the sole karyotypic abnormality in ALL [25]. Net loss of chromosomal material may be caused by loss of an entire chromosome (monosomy) [26, 27, 28], deletions of particular chromosomal segments [29] (Fig. 2E, F), unbalanced translocations (Fig. 2G), or isochromosomes (Fig. 2H). Terminal deletions results from a single break in the chromosome arm, with loss of the distal segment (Fig. 2E). Interstitial deletions emerge when two breaks occur within the same chromosome arm and the intervening segment is lost (Fig. 2F).

2) Chromosomal rearrangements

A chromosome rearrangement occurs when a piece of one chromosome breaks off and attaches to another chromosome. A gene fusion can be created when the translocation joins two other separate genes, the occurrence of which is common in cancer. It can be a balanced translocation, unbalanced translocation, insertion, or inversion. In a balanced translocation, pieces of chromosomes are rearranged, but no genetic material is gained or lost in the cell (Fig. 2I). A balanced translocation can involve more than two chromosomes and form a complex variant translocation [30, 31] (Fig. 2J). In CML, a complex, 3-way variant translocation, involving 3 chromosomes, often occurs as a single-step process with 3 breakpoints and no reciprocal ABL1-BCR fusion [32] (Fig. 2J). Interestingly, a complex 3-way translocation resulting from 4 breakpoints, 2-step process and a reciprocal gene fusion on the third chromosome has been detected in acute promyelocytic leukemia and CML, using dual color dual fusion translocation FISH probes [32, 33]. In an unbalanced translocation, the exchange of chromosome material is unequal, resulting in extra or missing chromosomal fragments [34, 35]. Derivative (1;7)(q10;p10) with an unbalanced whole-arm translocation is a recurrent cytogenetic abnormality in myeloid disorders [36, 37] (Fig. 2K). It had long been regarded as a poor prognostic indicator in MDS and AML [38], until the publication of a large study on the clinicopathological features of myeloid neoplasms with this karyotypic abnormality [39]. It has been proposed that myeloid neoplasms with der(1;7)(q10;p10) may not have a homogeneously favorable clinical behavior compared to MDS, which has known poor-risk cytogenetics [37]. An insertion is a structural rearrangement, in which part of a chromosome is typically interstitially repositioned into a different area of the karyotype (Fig. 2L). The insertion can be cryptic, and at the gene level, we have previously reported a case of childhood CML with a cryptic insertion of BCR at 9q34 and morphologically normal chromosomes 9 and 22 on G-banding [40]. FISH confirmed the presence of the BCR/ABL1 gene fusion on chromosome 9 in metaphase chromosomes. Therefore, in clinical practice, atypical genetic test results should not be interpreted in isolation and should be integrated with information gathered through different genetic studies. A chromosomal aberration, in which a segment of a chromosome is reversed in orientation but not relocated, is called an inversion. Inversion of chromosome 16 [inv(16)(p13q22)] is the most common chromosomal inversion observed in leukemia (Fig. 2M). It has been detected in approximately 5% of de novo AML cases, which are mostly classified as the M4Eo subtype, and is associated with a relatively favorable outcome. In the AML M4Eo subgroup, inv(16) is much more prevalent (88%) [41]. However, ethnic differences have been reported, including a very low prevalence of inv(16)(p13q22) abnormalities in two Chinese AML cohorts [41, 42]. Interestingly, R-banding is unsuitable for detecting this inv(16)(p13q22) aberration (Fig. 2N) [42], and it is far easier to recognize by G-banding. Therefore, FISH, reverse-transcription (RT)-PCR, and Southern blot analyses are reliable tools for detecting masked inv(16).

MOLECULAR CYTOGENETICS

Molecular cytogenetics involves the use of a series of techniques referred to as FISH, in which DNA probes are labeled with different colored fluorescent tags to visualize one or more specific regions of the genome (Fig. 3). It is used as a rapid, sensitive test for the detection of cryptic or subtle chromosomal changes. Furthermore, it can be used to detect genetic alterations in non-dividing cell populations, and it is a convenient method to support the practice of personalized medicine. However, FISH assays are still hampered by reagent costs, which prevent its adoption by large-scale oncological screening.
Fig. 3

FISH protocol. It includes sample pretreatment, denaturation of probe and sample, hybridization, post-hybridization washing, and fluorescent signal detection.

1. Methodology

The standard FISH protocol is illustrated in Fig. 3. Briefly, it includes five steps: 1) sample pretreatment, 2) denaturation of probe and sample, 3) hybridization of probe to target cells or metaphase spreads (annealing), 4) post-hybridization washing, and 5) detection using a simple epifluorescence microscope with appropriate filter sets. When a FISH test is initially implemented, the assay performance characteristics assessed should include sensitivity, accuracy, precision, and specificity [43]. The upper cutoff for normal results in a FISH assay can be determined by calculating the 95% confidence interval for probe signal patterns detected in normal control samples that are representative of the sample type to be analyzed. ACMG sets internationally accepted standards for FISH analysis to ensure that FISH results are clear and interpretable [44]. Furthermore, ongoing monitoring of interobserver reproducibility, accomplished in part by having two laboratory personnel read every case, can help detect changes in assay performance or loss of consistency in applying scoring criteria. The standard FISH nomenclature has been simplified and expanded in the latest edition of the International System for Human Cytogenetic Nomenclature, ISCN 2013 [45]. However, since the use of the full FISH ISCN is likely to make it more difficult for physicians to understand, it is not recommended by the European Myeloma Network [46].

2. Selection of FISH probes for use in oncology

There are three broad types of FISH probes used in clinical genetics laboratories, each with a different application: 1) whole-chromosome painting (WCP) probes for deciphering cytogenetic aberrations [8, 34, 47, 48]; 2) repetitive sequence probes for chromosome enumeration [21, 25, 26, 49, 50, 51]; and 3) locus-specific identifier (LSI) probes for gene fusions [17, 33, 52], gene deletions [35, 53, 54] or duplications [55]. These probes can also be used in various combinations when investigating complex chromosome abnormalities [56, 57]. WCP probes are designed to mark the entire chromosome of interest and are useful for deciphering cytogenetic aberrations that are difficult to resolve on morphological grounds, such as marker chromosomes of uncertain nature or complex changes. However, the use of WCP probes in interphase cells is very limited, as the chromosomes are dispersed in the cell nucleus during interphase and they do not form discrete units. Centromeric enumeration probes (CEPs) hybridize to alpha (or beta) satellite repeat sequences within the specific centromeric regions of each chromosome and are used for chromosomal enumeration. Interphase FISH analysis using dual color CEPs for chromosomes X and Y is an efficient method to predict relapse or failure of engraftment in patients after sex-mismatched bone marrow transplantation (Fig. 4A) [58].
Fig. 4

Interphase FISH images. (A) Interphase FISH using dual color centromeric-specific probes for chromosomes X (red) and Y (green) to determine the proportion of donor cells in the peripheral blood of the recipient (XY, arrow; XX, block arrow). (B) Interphase FISH using a dual color dual fusion BCR-ABL1 translocation probe, showing a 2G2R pattern in a normal cell (block arrow) and 1G1R2F in a Philadelphia-positive cell (arrow). (C) Interphase FISH using a dual color breakapart MLL translocation probe, showing an MLL split signal (distal MLL region, arrow; proximal MLL region, block arrow), and indicating MLL gene rearrangement. (D) MYC amplification in a neuroblastoma (arrow) and a normal cell with a 2G2R pattern (block arrow). The MYCN gene is labeled with a green fluorochrome, whereas the centromeric probe for chromosome 2 is labeled with a red fluorochrome.

There are two main LSI FISH probe systems for the detection of gene rearrangements in oncology, dual-color translocation probes and dual-color break-apart probe. The dual-color translocation probes are designed to detect chromosomal translocations involving know partner genes, such as BCR-ABL1 that result from t(9;22)(q34;q11.2) in CML (Fig. 4B). Furthermore, dual-color break-apart probes are useful for detecting chromosomal translocations that involve genes with unknown or multiple translocation partners, such as MLL, ALK, and RARα (Fig. 4C). Break-apart translocation FISH probes conveniently provide important information on the presence of gene rearrangements, although they are unable to identify the specific partner gene. Recently, with the use of long distance inverse-polymerase chain reaction (LDI)-PCR, it has become possible to identify unknown translocation partners and to map breakpoints at the base-pair level. LDI-PCR requires only approximate sequence information for one partner, rendering it ideal for use in combination with FISH to extend and refine cytogenetic breakpoint data [59]. LSI FISH probes have also been used to identify the origin of the amplified DNA that constitutes homogeneously staining regions (HSRs) and double minutes (DMs), which occur in a variety of tumor cells (Fig. 4D) [60].

3. Advances in FISH technology

Numerous methodological advances in molecular cytogenetic technology were initiated in the early 1990s, including comparative genomic hybridization (CGH) [54], spectral karyotyping (SKY) [62], multicolor FISH (MFISH) [63], multicolor banding (mBAND) [64], and array CGH (aCGH) [65]. All of these cytogenetic techniques add colors to the monotonous world of conventional banding. Two multicolor fluorescence technologies have been introduced, MFISH [63] and SKY [62]. These technologies are based on simultaneous hybridization of 24 chromosome-specific composite probes. This technique is suitable for the identification of subtle chromosomal aberrations that include an unidentified chromosome (marker chromosome) and an unbalanced chromosomal translocation. Regarding probe design, these chromosome-painting probes are generated from flow-sorted human chromosomes. Unique chromosome-specific colors are produced by labeling each chromosome library with either a single fluorochrome or specific combinations of multiple fluorochromes. mBAND has been developed to facilitate the identification of intrachromosomal rearrangements and to map the exact breakpoint by using human overlapping microdissection libraries that are differentially labeled [64]. The color bands have great value for delineating intrachromosomal exchanges, such as inversions, deletions, duplications, and insertions [6]. CGH is based on quantitative dual-color FISH along each chromosome [61]. CGH can be used to detect genetic imbalances in test genomes, and to determine the chromosomal map positions of gains and losses of entire chromosomes or chromosomal subregions present in normal reference metaphase preparations. A distinct advantage of CGH is that tumor DNA is the only requirement for this analysis. Thus, archived, formalin-fixed and paraffin-embedded tissues can be used as well. CGH is useful for cancer research, especially for determining the low mitotic index of malignant cells with poor chromosome morphology and resolution [66, 67, 68]. Tremendous technical advances in cytogenetics have changed the approaches used for clinical diagnostics and research, in particular, the development of array CGH (aCGH) technology for "molecular karyotyping" with a resolution of 100 kb to 1 Mb [65]. aCGH greatly improves the resolution of this technique by substituting the hybridization targets, the metaphase chromosome spread, with genomic segments spotted in an array format. The complexity of the genomic aberrations in most human tumors hampers delineation of the genes that drive the tumorigenic process. Interestingly, cognate mouse models have been shown to recapitulate these genetic alterations with unexpected fidelity [69]. These results indicate that cross-species aCGH analysis is a powerful strategy to identify the responsible genes and assess their oncogenic capacity in the appropriate genetic context [69]. Recently developed genomic microarray methodologies, including aCGH and single-nucleotide polymorphism (SNP)-based arrays, are innovative methods that provide genomic data for multiple neoplastic disorders [70, 71, 72]. In addition, these methods can reveal additional important information about the genetics of specific disorders, such as leukemia with normal cytogenetic and FISH analyses [73, 74]. In 2013, ACMG developed professional standards and guidelines to assist clinical laboratories in the validation, consistent use, and the interpretation and reporting of results from these microarray methodologies [75].

CANCER CYTOGENETICS RESOURCES

1. The Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer

The Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer (http://cgap.nci.nih.gov/Chromosomes/Mitelman) includes a comprehensive database of all published neoplasia-associated karyotypes and their corresponding gene fusions. The available information on chromosome abnormalities in human neoplasias has steadily increased over the past three decades. The data in this database have been manually culled from the literature by Felix Mitelman, Bertil Johansson, and Fredrik Mertens. The total number of tumor cases, in which clonal cytogenetic aberrations have been reported has reached 64,319, and the database was updated with the addition of 2,072 chimeric fusion genes in May 2014 [76].

2. The Atlas of Genetics and Cytogenetics in Oncology and Haematology

The Atlas of Genetics and Cytogenetics in Oncology and Haematology (http://atlasgeneticsoncology.org/) [77], which was established in 1997, is a peer-reviewed, open access, online journal, encyclopedia, and database that is devoted to genes, cytogenetics, and clinical entities in cancer and cancer-prone diseases. Approximately 2,200 authors have contributed to the Atlas so far, making 2,167 review articles available. The Atlas contains peer-reviewed articles on 1,135 genes, 503 leukemia entities, 177 solid tumors, and 104 cancer-prone inherited diseases. It also contains "automated cards" on 8,190 other genes that are potentially implicated in cancer [78].

3. Cytogenetic nomenclature

In the medical genetics community, interpretation and scientific communication is often facilitated by universally accepted nomenclature with precisely defined terms and syntax conventions that minimize complexity and add precision to the process. Cytogenetic nomenclature is based on the reports of an international committee that was established in 1960, known as the International System for Human Cytogenetic Nomenclature (ISCN) [79]. The nomenclature is updated periodically, most recently in 2013 with expanded guidelines for cancer cytogenetics, FISH, and microarray [45]. In cancer cytogenetic, an abnormal cytogenetic clone is defined as a population of cells with the same chromosome complement that is derived from a single progenitor. A clone must have at least two cells with the same aberration if the aberration is a chromosome gain or a structural rearrangement. If the abnormality is loss of a chromosome, the same loss must be present in at least three cells to be accepted as clonal. However, in the current version of the ISCN (2013), two cells with identical losses of one or more chromosomes and the same structural aberration(s) may be considered clonal and newly included [45]. However, whether two cells with the same loss of a single chromosome or one cell with a gain of a single chromosome in a composite karyotype should be counted and included in the size of the clone has not been mentioned in the current nomenclature system. Recently, we conducted a pilot survey of the reporting practices for the random loss or gain of a single chromosome in clinical cytogenetics reports. The questionnaire, which consisted of two questions, was sent to 19 cancer cytogenetic laboratories in 13 counties and cities, and we invited them to report to us using their usual reporting system (Table 1). In question 1, participants were presented with a bone marrow sample from an AML patient with non-clonal (random) loss of chromosome(s), and asked whether these metaphases should be considered as normal and included in the clone size of the normal karyotype. In question 2, participants were presented with a marrow blood sample from a CML patient with 19 metaphases of t(9;22)(q34; q11.2) and one metaphase with only -5. We asked whether the normal metaphase with a loss of a chromosome 5 should be reported in final karyotype in addition to the 19 metaphases of t(9;22)(q34;q11.2). To our surprise, the responses were not unanimous. For question 1, 11 of the 19 laboratories (57.9%) reported 46,XX[20], and the remaining 8 (42.1%) reported 46, XX[9] (Table 1). Therefore, 57.9% of the cytogenetic laboratories assumed that metaphases with non-clonal loss of chromosomes were normal, and they included all these metaphases in the clone size of normal clone. Most laboratory accreditation bodies require the "total number of metaphases analyzed" in the final report. Thus, for the 42.1% of cytogenetic laboratories that reported 46,XX[9], there is a general understanding by the clinicians that the patient has 11 metaphases with non-clonal loss or gain of chromosomes among the 20 metaphases analyzed. For question 2, 8 of the 19 laboratories (42.1%) reported 46, XX,t(9;22)(q34;q11.2) [19] and omitted the only metaphase with -5; 7 laboratories (36.8%) reported 46,XX,t(9;22)(q34;q11.2)[19]/46,XX[1] and counted the only metaphase with -5 as a normal clone; and 4 laboratories (21.1%) reported 46,XX,t(9;22)(q34;q11.2)[19]/45,XX,-5 [1] and simply wrote down the only metaphase with -5 in the final karyotype (Table 1). Taken together, the ISCN standing committee should continue to discuss such discrepancies and make efforts to align the reporting system used by cytogenetic laboratories [80].
Table 1

Survey on the International System for Human Cytogenetic Nomenclature (ISCN) for non-clonal loss of chromosomes

Interestingly, a review report of the CAP FISH proficiency surveys between 1997 and 2001 showed that syntax errors were far more common than diagnostic errors [81]. In addition, the syntax errors that are common in the proficiency surveys are also common in FISH surveys. Recently, since the full FISH ISCN is likely more difficult for physicians to understand, the use of FISH ISCN is not recommended by the European Myeloma Network [46]. Therefore, continuous improvement of the nomenclature guidelines to address some of these issues and identify the cause of these variations is essential [78, 82].

FUTURE PROSPECTS AND CONCLUDING REMARKS

Over the past five decades, innovative technical advances in the field of cancer cytogenetics have greatly enhanced the detection of chromosomal alterations and have facilitated the research and diagnostic potential of chromosomal studies in malignancies. Karyotyping of a single cell is still the easiest way to understand the relationship between clonal evolution and disease progression. The use of advanced FISH techniques allows for the identification of chromosomal alterations that are unresolved by karyotyping. Recently, DNA microarray technologies have been developed that provide a high-resolution view of the whole genome, which may yield massive amounts of new information on cancer genomics. Strikingly, cancer cytogenetics not only provides key information to improve the care of patients with leukemia and various cancers but also acts as a guide to identify the genes responsible for the development of these neoplastic states. Ongoing research and development on automated cytogenetics procedures includes: an automated metaphase harvester, automated metaphase spreader, high-throughput slide stainer, high-throughput metaphase finder, automated karyotyper, automated FISH pretreatment processor, automated FISH spot counting, and computerized sample tracking system. However, microscopy is still an essential technique for a final check of the chromosomes. Obviously, cytogenetic laboratories need to obtain more capital investment to keep up with the fast advancing and robotic technologies, since equipment costs are currently high. The main goal of the FISH laboratory is to identify the techniques that are most useful and informative for a particular study and perform thorough analyses to arrive at an interpretation that is useful for research and diagnostic purposes. The unique characteristics of peptide nucleic acids (PNAs) allow for the use of shorter probes, which combined with the hydrophobic nature of the peptide backbone, enables PNA probes to more easily traverse the hydrophobic core of cell membranes. A staining efficiency of nearly 100% can be achieved by using telomere probes based on PNA [83]. Telomere length can be measured by quantitative FISH in human [84] and other vertebrate cells [85]. Recently, the inherent flexibility of de novo synthesized oligonucleotide libraries was shown to have a powerful advantage that could aid in the visualization of high-resolution fine-scale genomic structure [86]. In the future, targeted therapies will find broader applications in leukemia and cancer. Personalized oncology, in addition to FISH and drug target information for treatment decision making, other aspects include the application of genetic markers for patient risk stratification. This is particularly relevant to CLL [87] and multiple myeloma. Since the neoplastic population in both CLL and multiple myeloma is mitotically inactive, the use of interphase FISH for the detection of genetic abnormalities plays a significant role in the prognostication and risk stratification of these disorders [88]. The identification or selection of malignant cells by morphology, immunophenotyping, or through sorting of plasma cells is required before FISH probes can yield reliable results [89]. In addition, although personalized genomic medicine in the clinic may be very attractive, there is a need for succinct clinicopathological correlation and the rational use of faster, more cost-effective methods among the large array of genomic tests available for drug-target selection. Recently, the power and applicability of whole-genome sequencing for the diagnosis of leukemia patients with cryptic gene fusion has demonstrated, and it hugely affected the clinical management and prognosis of these patients. However, leukemic patients with cryptic gene rearrangements can often be diagnosed without whole-genome analysis - a costly, time consuming, and highly specialized procedure. Conventional cytogenetics is now complemented by FISH and molecular biology. A FISH-negative cryptic PML/RARα rearrangement detected by long-distance PCR and sequencing analyses has also been reported [90]. Therefore, FISH analysis should be conducted, if the morphologic, cytogenetic, and molecular findings are inconsistent. It is envisaged that efforts made towards the characterization of molecular defects in neoplasms will ultimately be translated into better clinical outcomes for patients. Taken together, the morphologic, karyotyping, FISH, and molecular features should all be considered to obtain accurate diagnoses of malignancies. This highlights the clinical importance of a combined modality approach for the accurate diagnosis and classification of cancers.
  80 in total

1.  Blast cell morphology in acute myeloid leukemia with trisomy 13.

Authors:  S K Ma; T S Wan
Journal:  Leuk Res       Date:  1999-08       Impact factor: 3.156

2.  Trisomy 8 as a secondary genetic change in acute megakaryoblastic leukemia associated with Down's syndrome.

Authors:  S K Ma; A C Lee; T S Wan; C K Lam; L C Chan
Journal:  Leukemia       Date:  1999-03       Impact factor: 11.528

3.  Deletion 9q as the sole karyotypic abnormality in myelocytic disorders: a new case of myelodysplastic syndrome and its prognostic implications in acute myelocytic leukemia.

Authors:  T S K Wan; E S K Ma; C C K Lam; L C Chan; K K Lee; W Y Au
Journal:  Cancer Genet Cytogenet       Date:  2003-09

4.  Near-tetraploid acute myeloid leukaemia.

Authors:  Thomas S K Wan; Edmond S K Ma; Yi-Tin Chen
Journal:  Br J Haematol       Date:  2011-06-17       Impact factor: 6.998

Review 5.  Fatal diffuse alveolar damage complicating acute myeloid leukemia with abnormal eosinophils and trisomy X.

Authors:  T S K Wan; S F Yip; Y M Yeung; L C Chan; S K Ma
Journal:  Ann Hematol       Date:  2002-02-16       Impact factor: 3.673

6.  Establishment, characterization, karyotyping, and comparative genomic hybridization analysis of HKESC-2 and HKESC-3: two newly established human esophageal squamous cell carcinoma cell lines.

Authors:  Ying Chuan Hu; King Y Lam; Simon Y Law; Thomas S K Wan; Edmond S K Ma; Yok Lam Kwong; Li C Chan; John Wong; Gopesh Srivastava
Journal:  Cancer Genet Cytogenet       Date:  2002-06

7.  A cellular oncogene is translocated to the Philadelphia chromosome in chronic myelocytic leukaemia.

Authors:  A de Klein; A G van Kessel; G Grosveld; C R Bartram; A Hagemeijer; D Bootsma; N K Spurr; N Heisterkamp; J Groffen; J R Stephenson
Journal:  Nature       Date:  1982-12-23       Impact factor: 49.962

8.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
Journal:  Nat Genet       Date:  1998-10       Impact factor: 38.330

9.  Numerical chromosome aberrations in human neoplasia.

Authors:  S Heim; F Mitelman
Journal:  Cancer Genet Cytogenet       Date:  1986-06

Review 10.  Aneuploidy and cancer.

Authors:  Harith Rajagopalan; Christoph Lengauer
Journal:  Nature       Date:  2004-11-18       Impact factor: 49.962

View more
  10 in total

1.  Evaluation of Cytogenetic Abnormalities in Patients with Acute Lymphoblastic Leukemia.

Authors:  Pavan Reddy; Ramesh Shankar; Teena Koshy; Venkatraman Radhakrishnan; Prasanth Ganesan; P K Jayachandran; Manikandan Dhanushkodi; Nikita Mehra; S Krupashankar; P Manasa; R P Nagare; R Swaminathan; Krishnarathinam Kannan; T G Sagar; T S Ganesan
Journal:  Indian J Hematol Blood Transfus       Date:  2019-04-17       Impact factor: 0.900

2.  Analysis of Hi-C Data for Discovery of Structural Variations in Cancer.

Authors:  Fan Song; Jie Xu; Jesse Dixon; Feng Yue
Journal:  Methods Mol Biol       Date:  2022

3.  A new ETV6-NTRK3 cell line model reveals MALAT1 as a novel therapeutic target - a short report.

Authors:  Suning Chen; Stefan Nagel; Bjoern Schneider; Haiping Dai; Robert Geffers; Maren Kaufmann; Corinna Meyer; Claudia Pommerenke; Kenneth S Thress; Jiao Li; Hilmar Quentmeier; Hans G Drexler; Roderick A F MacLeod
Journal:  Cell Oncol (Dordr)       Date:  2017-11-08       Impact factor: 6.730

Review 4.  A Practical Guide for Structural Variation Detection in the Human Genome.

Authors:  Lixing Yang
Journal:  Curr Protoc Hum Genet       Date:  2020-09

Review 5.  Sexual dimorphism in solid and hematological malignancies.

Authors:  Isabel Ben-Batalla; María Elena Vargas-Delgado; Lara Meier; Sonja Loges
Journal:  Semin Immunopathol       Date:  2018-10-25       Impact factor: 9.623

Review 6.  Use of Fluorescence In Situ Hybridization (FISH) in Diagnosis and Tailored Therapies in Solid Tumors.

Authors:  Natalia Magdalena Chrzanowska; Janusz Kowalewski; Marzena Anna Lewandowska
Journal:  Molecules       Date:  2020-04-17       Impact factor: 4.411

7.  EagleC: A deep-learning framework for detecting a full range of structural variations from bulk and single-cell contact maps.

Authors:  Xiaotao Wang; Yu Luan; Feng Yue
Journal:  Sci Adv       Date:  2022-06-15       Impact factor: 14.957

8.  ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis.

Authors:  Yahya Bokhari; Areej Alhareeri; Abdulrhman Aljouie; Aziza Alkhaldi; Mamoon Rashid; Mohammed Alawad; Raghad Alhassnan; Saad Samargandy; Aliakbar Panahi; Wolfgang Heidrich; Tomasz Arodz
Journal:  Cells       Date:  2022-07-20       Impact factor: 7.666

9.  Integrative detection and analysis of structural variation in cancer genomes.

Authors:  Jesse R Dixon; Jie Xu; Vishnu Dileep; Ye Zhan; Fan Song; Victoria T Le; Galip Gürkan Yardımcı; Abhijit Chakraborty; Darrin V Bann; Yanli Wang; Royden Clark; Lijun Zhang; Hongbo Yang; Tingting Liu; Sriranga Iyyanki; Lin An; Christopher Pool; Takayo Sasaki; Juan Carlos Rivera-Mulia; Hakan Ozadam; Bryan R Lajoie; Rajinder Kaul; Michael Buckley; Kristen Lee; Morgan Diegel; Dubravka Pezic; Christina Ernst; Suzana Hadjur; Duncan T Odom; John A Stamatoyannopoulos; James R Broach; Ross C Hardison; Ferhat Ay; William Stafford Noble; Job Dekker; David M Gilbert; Feng Yue
Journal:  Nat Genet       Date:  2018-09-10       Impact factor: 38.330

Review 10.  Potential Clinical Application of Genomics in Multiple Myeloma.

Authors:  Cinnie Yentia Soekojo; Sanjay de Mel; Melissa Ooi; Benedict Yan; Wee Joo Chng
Journal:  Int J Mol Sci       Date:  2018-06-10       Impact factor: 5.923

  10 in total

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