2.1. Type of biopsy

A surgically excised tissue biopsy is widely accepted as the gold standard for the diagnosis of lymphoma based upon the current international guidelines (Lugano 2014 and ESMO 2015). An excision biopsy of a lymph node (or other tissue) allows assessment of micro-architecture, provides adequate material for immunocytochemistry, flow cytometry if received unfixed, FISH studies and extraction of DNA and RNA for molecular diagnostics. Concordance between the results of these investigations provides a high level of confidence in the diagnosis. Where the disease process is focal an excision biopsy is more likely to be diagnostic by virtue of the volume of tissue obtained and excision biopsies, in addition are typically less prone to processing artefacts which can impair morphological interpretation.

The major disadvantages of an excision biopsy are the need for general anaesthesia and the delays that can result from seeking a surgical opinion. These issues can be addressed by using needle core biopsies, but at the expense of a reduction in the range and quality of investigations that can be performed, unless multiple 10-15 mm cores have been taken when the amount of tissue may be similar to some excision biopsies. However, single thin cores of 5mm or less are common and this severely compromises all of the investigations listed above. Inadequate or too few core biopsies reduces the degree of confidence that can be placed in the diagnosis and judging when a needle core biopsy is adequate to support the immediate treatment of the patient is subjective and can be very difficult. This is compounded by routinely cutting step levels through these blocks, which results in a significant amount of the available tissue being discarded; this is common practice in many pathology departments. These problems frequently result in repeat biopsies being required with further delays to diagnosis and treatment.

An additional factor, in the near future, will be the need for a much higher standard of tissue collection and handling to support the diagnostics required for precision medicine. It is likely that unfixed tissue will be required to support sequencing-based techniques and that conditions under which samples are collected, transported and stored will become much more rigorous than is the case at present.

The critical question to be addressed is the circumstances where the loss of information and diagnostic confidence can be justified by logistical benefits and patient convenience. The main determinants will be the site of disease, urgency of treatment, patient preference and fitness.

Clinical question: Is core biopsy an acceptable alternative to excision biopsy for the accurate diagnosis of suspected non-Hodgkin's lymphoma at first presentation?

2.1.1. Clinical evidence (see section 2.1.1 in Appendix G)

The review identified no evidence that met the inclusion criteria of the review.

2.1.2. Cost-effectiveness evidence

A literature review of published cost-effectiveness analyses did not identify any relevant papers for this topic. Whilst there were potential cost implications of making recommendations in this area, other questions in the guideline were agreed as higher priorities for economic evaluation. Consequently no further economic modelling was undertaken for this question.

2.2. Genetic testing

Genetic and molecular testing has provided important insights into lymphoma biology. When applied to many lymphoma subtypes they have also demonstrated that the diagnosis and subclassification of lymphomas is more accurate when compared with traditional diagnostic methods such as standard microscopy and immunohistochemistry. Advances in this field may reduce heterogeneity in patients included in clinical trials, allow for greater confidence in the diagnostic process and improve patient outcomes.

2.2.1. Testing strategies to diagnose B-cell lymphomas

Aggressive B-cell lymphoma can be subdivided into six main categories, as well a number of minor or rare subtypes. For the purposes of this question the six main categories are:

  • Burkitt Lymphoma
  • Primary Mediastinal B-cell Lymphoma
  • DLBCL- GCB type
  • DLBCL- ABC type
  • DLBCL- Type 3
  • DLBCL- MYC rearrangement with other translocations (‘Double hit”)

At present only the accurate diagnosis of Burkitt Lymphoma impacts on choice of therapy.

In the case of Burkitt lymphoma the presence of a MYC-IGH rearrangement as the sole abnormality identified by FISH in the context of a BCL2 negative germinal centres phenotype is the defining characteristic. The molecular subtypes of DLBCL are determined by gene expression profiling, which is the gold standard for identifying these subtypes, but is not routine practice.

The main problem is that most lymphoma diagnostic technologies are in a phase of rapid change. Data on these newer technologies is limited. Immunocytochemistry is increasingly recognised as being a poorly reproducible method unsuited for biomarker analysis. There is a large body of sequencing data (whole exome, targeted re-sequencing) that is highly relevant particularly to the diagnosis of Burkitt Lymphoma and the differentiation of GCB and ABC types of DLBCL and identification several of the genes within each category that are targets for specific therapy. Combinations of expression profiling and targeted sequencing are likely to become the method of choice over the next few years but experience in routine application is limited at the present time.

Clinical question: What is the most effective genomic/phenotypic testing strategy to diagnose the subtypes of aggressive b-cell non-Hodgkin's lymphoma?

2.2.1.1. Clinical evidence (see section 2.2.1 in Appendix G)

Twenty six studies provided information on diagnostic tests. All were retrospective cross sectional studies using retrospectively collected data.

2.2.1.1.1. Diagnostic accuracy of testing strategies for sub-typing aggressive non-Hodgkin's lymphomas (NHL)
Burkitt lymphoma (BL) versus diffuse large B-cell lymphoma (DLBCL)

Four studies (Barrans et al., 2013; Gormley et al., 2005; Soldini et al., 2013 and Iqbal et al., 2015) including 796 patients assessed testing strategies to differentiate between BL and DLBCL. Low quality evidence from one study (Soldini et al, 2013) indicated all patients were accurately classified to their original diagnosis when using FISH. Low quality evidence from two studies (Barrans et al., 2013 and Iqbal et al., 2015) indicated that classic diagnostic methods can accurately diagnose BL and DLBCL compared to gene expression profiling at rates of 93.59-95.4%. Finally, one study (Gormley et al., 2005) provided low quality evidence that immunohistochemistry (IHC) can accurately diagnose patients into BL/DLBCL and GC/ABC subtypes compared to morphology at a rate of 85.5%.

Burkitt lymphoma (BL) versus other NHL subtypes

Two studies (Dave et al., 2006 and Hummel et al., 2006) including 291 patients assessed testing strategies to differentiate between BL and other NHL subtypes. Low quality evidence from one study (Dave et al., 2006) indictaed that pathological review provides more diagnostic accuracy (87.3%) compared to classic diagnostic methods (73.2%) when diagnosing Burkitt lymphoma. One study (Hummel et al., 2006) provided low quality evidence that morphology can accurately diagnose patients into BL versus other NHL subtypes at a rate of 83.6%.

Primary mediastinal B-cell lymphoma (PMBL) versus diffuse large B-cell lymphoma (DLBCL)

One study (Votavova et al, 2010) including 82 patients assessed the use of histopathological and clinical review compared to gene expression profiling in the diagnosis of PMBL reporting low quality evidence of a diagnostic accuracy rate of 85.4%.

Diffuse large B-cell lymphoma (DLBCL) versus other NHL subtypes

One study reporting low quality evidence (Deffenbacher et al, 2010) including 17 patients assessed the use of pathological review compared to gene expression profiling in the diagnosis of HIV DLBCL, with a diagnostic accuracy rate of 64.7%.

2.2.1.1.2. Diagnostic accuracy of testing strategies for sub-typing diffuse large B-cell lymphoma (DLBCL)
Sub-typing diffuse large B-cell lymphoma into germinal centre B-cell (GCB) and activated B-cell (ABC)-like lymphomas

Five studies (Barrans et al 2012; Malik et al, 2010; Booman et al, 2006; Scott et al, 2013 and Choi et al 2009) including 472 patients provided low quality evidence comparing various immunohistochemistry (IHC) algorithms to gene expression profiling (GEP). The highest rates of diagnostic accuracy (>90%) were reported when using IHC (93.4%; Malik et al. 2010), IHC Hans (91.5%; Scott et al., 2013), IHC Tally (93.6%; Scott et al., 2013) and IHC Choi algorithms (training set: 92.9%, validation set: 93.7%; Choi et al., 2009) and the lowest rate of diagnostic accuracy using IHC reported by Booman et al. (2006; 70%). Rimsza et al. (2009) assessed the use of qNPA at two thresholds (>0.8 and >0.9) compared to GEP reporting low quality accuracy rates of 92.3% (threshold >0.9) and 100% (threshold >0.8). Su et al., (2013) assessed the value of a bivariate mixture model reporting the a diagnostic accuracy rate when using a two-species analysis (human and canine) of 89.7% compared to 89.1% when using a human species alone analysis (89.1%). Finally, Williams et al. (2010) providing low quality evidence on the use of formalin-fixed paraffin embedded tissue when sub-typing DLBCL, reported a 97.7% accuracy rate compared to the use of fresh frozen tissues, and Mareschal et al. (2015) also providing low quality evidence found that GEP using a RT-MLPA assay accurately subtyped patients at a rate of 100% compared to GEP Affymetrix.

Sub-typing diffuse large B-cell lymphoma into Germinal centre B-cell (GCB) and non-GCB-like lymphomas

Four studies (Poulsen et al, 2005; Gutierrez-Garcia et al, 2011; Haarer et al, 2006 and Visco et al 2012) including 569 patients provided low quality evidence comparing various immunohistochemistry (IHC) algorithms to gene expression profiling (GEP). The highest rates of diagnostic accuracy (>90%) were reported when using IHC (92.7%; Poulsen et al., 2005) and a 3-marker algorithm (92.6%) or 4-marker algorithm (92.8%; Visco et al., 2012) and the lowest rate of diagnostic accuracy was reported when using the IHC Choi algorithm (59.1%; Gutierrez-Garcia et al., 2011). When assessing studies that had reported using the same IHC algorithms (Hans and Choi) there was wide variation between the reported diagnostic accuracy of these algorithms (59.1% compared to 90% for the Choi algorithm and 65.3% and 87.2%).

2.2.1.1.3. Comparison of testing strategies for the identification of genes in non-Hodgkin's lymphomas

One study (Chang et al, 2010) assessed the use of FISH compared to polymerase chain reaction in the detection of t(14;18) in 227 patients with NHL reporting low quality evidence of a 70.5% accuracy rate. One study (Dunphy et al, 2008) assessed the use of FISH compared to PCR in the detection of BCL2 in 22 patients with primary mediastinal B-cell lymphoma reporting low quality evidence of a 95.5% accuracy rate. One study (Lynnhtun et al, 2014) assessed the use of FISH compared to immunohistochemistry plus FISH in the detection of MYC in 41 patients with high-grade B-cell lymphomas reporting low quality evidence of accuracy rates of 58.5% with a ≥40% IHC-FISH threshold and 87.8% at ≥70% and ≥80% IHC-FISH threshold. One study (Mationg-Kalaw et al, 2012) reported the use of pathological review compared to immunohistochemistry plus FISH in the detection of Ki67 in 432 patients with diffuse large B-cell lymphoma reporting low quality evidence of a 38.4% accuracy rate at >70% threshold and a 61.6% accuracy rate at >90% threshold. Finally, one study (Zeppa et al, 2012) assessed the use of flow cytometry, immunohistochemistry-FISH and polymerase chain reaction compared to histology and follow-up in the detection of immunoglobulin heavy-chain (IGH) signals in 48 patients with non-Hodgkin's lymphoma, reactive hyperplasia and small lymphocytic lymphoma/chronic lymphocytic leukemia reporting low quality evidence of accuracy rates of 95.8%, 86.4% and 80% (respectively).

2.2.1.2. Cost-effectiveness evidence

A literature review of published cost-effectiveness analyses did not identify any relevant papers for this topic. Whilst there were potential cost implications of making recommendations in this area, other questions in the guideline were agreed as higher priorities for economic evaluation. Consequently no further economic modelling was undertaken for this question.

2.2.2. Stratification of high grade B-cell lymphomas using laboratory techniques

Advanced molecular diagnostics will have a major impact on the diagnosis and stratification of all patients with lymphoma. Although the technologies are the same across lymphoma subtypes the data supporting its routine clinical application is greatest in high grade B-cell lymphomas.

In high grade B-cell lymphoma the application of molecular diagnostics is important in two areas:

  • Identifying very poor prognosis diffuse large B-Cell lymphoma (DLBCL). DLBCL with an abnormality of the MYC gene and one of several additional genetic abnormalities detectable by FISH have a very poor clinical outcome (‘double and triple hit lymphomas’) and there is no consensus on treatment of these patients. This group is likely to expand when mutations of specific genes are added to the abnormalities detectable by FISH. Again, attempts to replicate this by immunocytochemistry have been reported.
  • Identifying very good prognosis DLBCL. The International Prognostic Index (IPI) has been used for many years to stratify patients with DLBCL. There is preliminary data that a statistical modification of the IPI (use of continuous variables) combined with gene expression and mutational analysis can identify a set of patients with a very high probability of cure by R-CHOP. This has important implications for trial design, the application of new therapies and patient information.

Clinical question: What is the most effective genomic/phenotypic testing strategy to determine therapeutic stratification and prognostic subtypes of aggressive b-cell non-Hodgkin's lymphoma?

2.2.2.1. Clinical evidence (see section 2.2.2 in Appendix G)

43 studies provided evidence about the prognostic value of molecular diagnostics in people with high grade B-cell lymphoma.

2.2.2.1.1. GCB versus non-GCB: IHC (Hans)

Moderate quality evidence from 22 studies (n=5065 patientes) reported overall survival does not differ between patients with GCB and non-GCB DLBCL subtype, although two additional studies suggest that overall survival may be inferior in patients with non-GCB (Molina, 2012, 2013; Mitrovic , 2013; n = 776; reported HRs ranged from 1.9-2; low quality). Progression-free survival (17 studies; n = 3177; moderate quality) does not differ between patients with GCB and non-GCB DLBCL subtype, although one additional study suggest that progression-free survival may be inferior in patients with non-GCB (Molina, 2012, 2013; n = 640; HR = 1.9; low quality).

2.2.2.1.2. GCB versus non-GCB/ABC: IHC (Choi)

Moderate quality evidence from 12 studies (n=1804 patients) reported overall survival does not differ between patients with GCB and non-GCB DLBCL subtype, although low quality evidence from one additional study suggest that overall survival may be inferior in patients with non-GCB (Perry, 2014 validation set; n = 215; reported HRs ranged from 2.07-2.14).

Moderate quality evidence from 9 studies (n=1396 patients) reported similar progression/event-free survival is either similar between patients with GCB and non-GCB/ABC DLBCL while low to moderate quality evidence from 3 studies (n=592 patients) reported lower progression/event free survival in patients with the non-GCB/ABC DLBCL subtype (HRs ranged from 2-2.27).

2.2.2.1.3. GCB versus non-GCB: IHC (Visco-Young)

Five studies (n=1127 patients) provided low quality evidence that overall survival is either similar between patients with GCB and non-GCB DLBCL (4 studies; n = 652) or inferior in patients with the non-GCB DLBCL subtype (1 study; n = 475; HR = 0.56). Four studies (n=1187 patients) provided low quality evidence that progression-free survival is either similar between patients with GCB and non-GCB DLBCL (3 studies; n = 475) or inferior in patients with the non-GCB DLBCL subtype (1 study; n = 712; HRs ranged from 0.59-0.63).

2.2.2.1.4. GCB versus non-GCB: IHC (other algorithms than Hans, Choi and Visco-Young)

Twelve studies (n=2051 patients) provided low-moderate quality evidence that overall survival does not differ between patients with GCB and non-GCB/ABC DLBCL.

Eight studies (n=1173 patients) provided low to moderate quality evidence that progression-free survival does not differ between patients with GCB and non-GCB/ABC DLBCL.

2.2.2.1.5. GCB versus ABC/non-GCB: GEP with/without IHC

Low to moderate quality evidence from 6 studies (n=1573 patients) reported that overall survival is similar between patients with GCB and non-GCB/ABC DLBCL while five studies (n=1768 patients) provided low to moderate quality evidence that overall survival was inferior in patients with the non-GCB/ABC DLBCL subtype (reported HRs ranged from 0.53-2.1 [these span 0 as different reference groups are used]). There was large patient overlap between these studies. Progression-free survival is either similar between patients with GCB and non-GCB/ABC DLBCL (4 studies; n = 1488; low-moderate quality) or inferior in patients with the ABC DLBCL subtype (4 studies; n = 1577; HRs ranged from 0.63-2.6 [these span 0 as different reference groups are used]; low-moderate quality).

2.2.2.1.6. MYC translocation

Seven studies (n=1821 patients) provided low to moderate quality evidence that overall survival is either similar between patients with and without MYC translocation while 4 studies (n=1066) provided low to moderate quality evidence that overall survival was inferior in patients with MYC translocation (reported HRs ranged from 1.68-4.87). Progression-free survival (9 studies; n = 1967; low-moderate quality) does not differ between patients with and without MYC translocation (as assessed by FISH), although one additional study found inferior progression-free survival in patients with MYC translocation (Kojima, 2013; n = 100; HR = 2.717; unclear quality).

No evidence was found for the following comparisons:

  • patients with MYC translocation versus patients with a MYC translocation AND a BCL2/T(14,18)/18q21 translocation (Double hit)
  • patients with MYC translocation versus patients with a MYC translocation AND a BCL6/3q27 translocation (Double hit)
  • patients with MYC translocation versus patients with a MYC translocation AND a BCL2/T(14,18)/18q21 translocation AND a BCL6/3q27 translocation (Triple hit)
2.2.2.1.7. BCL2 translocation

Low to moderate quality evidence from nine studies (n=2139 patients) reported no difference in overall survival and from eight studies (n=1771 patients) reported no difference in progression-free survival between patients with and without BCL2 translocation (as assessed by FISH), although one additional study may have found inferior overall survival in patients with BCL2 translocation (Horn, Ziepert, Bart et al., 2013; n = 112; unclear quality).

2.2.2.1.8. BCL6 translocation

Low to moderate quality evidence from seven studies (n=1982 patients) showed no difference in overall survival while low to moderate quality evidence from four studies (n=1247 patients) showed no difference in progression-free survival between patients with and without BCL6 translocation (as assessed by FISH).

2.2.2.1.9. Turnaround time of the test

One study reported that the turnaround time of the GEP testing strategy employed was less than 1 day and repeated testing of up to 40 patients in parallel was possible (Rumimy, 2013; n = 141; unclear quality).

2.2.2.1.10. Health-related quality of life

No studies were identified that reported health-related quality of life.

2.2.2.2. Cost-effectiveness evidence

A literature review of published cost-effectiveness analyses did not identify any relevant papers for this topic. Whilst there were potential cost implications of making recommendations in this area, other questions in the guideline were agreed as higher priorities for economic evaluation. Consequently no further economic modelling was undertaken for this question.

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