Introduction
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SECTION 1 - Immunoglobulin free light chains and their analysis |
| Introduction |
Multiple myeloma (MM) is a disease with many faces. It usually presents in old age but may occur in youth. Bone pain and fractures are characteristic yet soft tissue involvement by plasmacytomas may also occur. Patients may die within weeks of presentation while others "smoulder" for years. Patients may develop renal failure, acute and chronic infections or AL amyloidosis, and many will require stem cell transplantation or intensive chemotherapy. Consequently, many specialists, including haematologists, nephrologists, immunologists, orthopaedic surgeons and chemical pathologists become involved in disease management. Furthermore, the prevalence of MM is increasing due to a slowly rising incidence and a longer life expectancy [1][2][3]
Despite the complexity of this disease, one feature has been a great lighthouse in the fog, alerting the unwary to the diagnosis and guiding the hand of management: the presence of monoclonal immunoglobulins. Produced in excess, and in a variety of shapes and sizes, these molecules have been linked to MM since they were first identified by Henry Bence Jones over 150 years ago[4][5]. Notwithstanding their substantial history and great utility, measurement of these tumour markers, particularly free light chains (FLC), remained imperfect for many years. Techniques used for their measurement had failed to keep pace with analytical developments in other fields until the 21st century when serum FLC analysis was introduced.
| Tumour Type | Cancer Deaths (USA)[3] | Tumour Markers | Specificity | Sensitivity | Tumour Detection | Clinical Utility |
|---|---|---|---|---|---|---|
| Lung + bronchus | 28% | Neuron specific enolase | Poor | Poor | Late | Poor |
| Colon + rectum | 9% | Carcinoembryonic antigen | Poor | Modest | Late | Modest |
| Breast | 7% | CA 15-3; CEA | Poor | Modest | Late | Modest |
| Pancreas | 6% | CA 19-9; CEA | Poor | Poor | Late | Poor |
| Prostate | 5% | Prostate-specific antigen | Modest | Good | Good | Good |
| Stomach | 2% | CEA; CA 19-9 | Modest | Modest | Late | Poor |
| Ovary | 2.5% | CA 125; PLAP | Modest | Modest | Intermediate | Good |
| Liver | 3% | Alpha feto-protein (αFP) | Good | Good | Intermediate | Good |
| Myeloma | 1.9% | Monoclonal protein/FLC | Good | Good | Early | Very good |
| AL amyloidosis | 0.3% | Monoclonal protein/FLC | Good | Good | Early | Very Good |
| Germ cell | ~0.1% | αFP; human chorionic gonadotrophin | Good | Good | Early | Very Good |
| Choriocarcinoma | <0.1% | Human chorionic gonadotrophin | Good | Good | Early | Very Good |
| Neuroendocrine | <0.1% | Chromogranin A, gastrin | Modest | Good | Early | Very Good |
Table 1. Some common serum tumour markers and their clinical utility. All of these analytes were measured using highly sensitive immunoassays apart from monoclonal proteins. FLC = free light chains
Most serum cancer tests are now based on state-of-the-art immunoassays and are highly automated. (A selection of the more common serum markers is shown in Table 1). In contrast, tests for MM and AL amyloidosis are primarily based on serum and urine electrophoretic techniques. These are relatively insensitive, require considerable experience for interpretation and are often labour-intensive. How ironic that the first tumour marker to be identified should be the last to benefit from modern technology.
It is, perhaps, not surprising that these techniques produce errors in FLC measurements[6]. And, why use urine? It is hard to imagine a less attractive fluid in which to evaluate these molecules. An important function of the kidneys is to prevent the loss of FLCs and other small protein molecules into the urine. Furthermore, urine samples are voluminous, difficult to obtain, awkward to transport and need to be concentrated prior to analysis.
An alternative strategy is to measure FLCs in serum. In 1981, it was shown that serum concentrations of FLCs were elevated when Bence Jones proteinuria occurred (Chapter 2), and that measuring serum rather than urine was diagnostically more accurate in patients with renal failure [7][8]. Why, therefore, have serum immunoassays not been used before? It is now apparent that the overriding barrier was the difficulty in developing satisfactory antibodies for use in the assays. To function correctly, these antibodies must not only be of high affinity to allow measurement of low concentrations of serum FLCs, but must also be highly specific. Serum FLC concentrations are several orders of magnitude lower than serum light chains bound to intact immunoglobulins, so even minor antibody crossreactivity produces unacceptable results. Only recently have suitable antibodies been developed that bind exclusively to the hidden epitopes of FLC molecules (Chapter 4) . These antibodies have facilitated the development of serum FLC assays that are specific, sensitive and quantitative [9][10].
| Serum FLC immunoassays include the following benefits: |
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General statements have been formulated to describe the clinical applications of cancer markers [11]. Most of these have now been applied to FLC immunoassays, as follows:
In addition, serum FLC assays have allowed new guidelines to be written for the diagnosis and monitoring of patients with MM, AL amyloidosis and other diseases producing excess clonal FLCs (Chapter 25)
In the following chapters, the discovery of Bence Jones protein, the structure and synthesis of light chain molecules, and assays for serum FLC quantification are described. A detailed account of the current use of the assays in clinical and laboratory practice is presented, together with potential applications in other settings. Appendices for guidance in their clinical and laboratory use are also provided. In addition, Chapter 32 provides an introduction to the analysis of heavy chain/light chain pairs (Hevylite™). These are new nephelometric and turbidimetric immunoassays that measure the concentrations of different light chain types of each immunoglobulin class, and provide a ratio that may assist in the diagnosis, staging and monitoring treatment responses of MM and other plasma cell dyscrasias.
| Overview | Back to Contents Page | Chapter 2 |
References
- ↑ Katzel JA, Hari P, Vesole DH. Multiple myeloma: Charging toward a bright future. CA Cancer J Clin 2007; 57: 301 – 318 PMID: 17855486
- ↑ Kumar SK, Rajkumar SV, Dispenzieri A, Lacy MQ, Hayman SR, Buadi FK, Zeldenrust SR, Dingli D, Russell SJ, Lust JA, Greipp PR, Kyle RA, Gertz MA. Improved survival in multiple myeloma and the impact of novel therapies. Blood 2008;111:2516-20. PMID: 17975015
- ↑ 3.0 3.1 Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA Cancer J Clin. 2009; 59: 225 – 49. PMID: 19474385 PMID: 19474385
- ↑ Jones HB. Papers on Chemical Pathology, Lecture III. Lancet 1847; 2: 88 - 92
- ↑ Jones HB. On the new substance occurring in the urine of a patient with mollities ossium. Phil Trans R Soc B 1848; 138: 55 – 62
- ↑ Ward AM, White PAE, Beetham R. Monoclonal Protein Identification Distribution 986. UK NEQAS Sheffield, 1998.
- ↑ Solling K. Free light chains of immunoglobulins. Scand J Clin Lab Invest Suppl 1981; 157: 1 – 83 PMID: 6797039
- ↑ Sinclair D, Dagg JH, Smith JG, Stott DI. The incidence and possible relevance of Bence-Jones protein in the sera of patients with multiple myeloma. Br J Haematol 1986; 62: 689 – 94 PMID: 3964561
- ↑ Bradwell AR, Carr-Smith HD, Mead GP, Tang LX, Showell PJ, Drayson MT, Drew R. Highly sensitive, automated immunoassay for immunoglobulin free light chains in serum and urine. Clin Chem 2001; 47: 673 – 80 PMID: 11274017
- ↑ Katzmann JA, Clark RJ, Abraham RS, Bryant S, Lymp JF, Bradwell AR, Kyle RA. Serum reference intervals and diagnostic ranges for free kappa and free lambda immunoglobulin light chains: relative sensitivity for detection of monoclonal light chains. Clin Chem 2002; 48: 1437 – 44 PMID: 12194920
- ↑ Chan DW, Schwartz MK. Tumor markers: Introduction and general principles. In: Diamandis EP, Fritsche HA, Lilja H, Chan DW, Schwartz MK, eds. Tumor markers: Physiology, pathology, technology and clinical applications, AACC Press, 2002: Chapter 2: 9 – 17
