Monday, December 21, 2015

Approved Gene Testing (M00041, V14)

MolDX
Approved Gene Testing (M00041, V14)

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After a review of the current available literature, the MolDX Program has determined that testing for the following genes/gene components meets the Medicare criteria for a covered service. This listing has been updated with 2016 CPT codes.
#
CPT Code
Description
1.     
81170
ABL1, ga
2.     
81206
BCR_ABL1, majbp qual quant (p210)
3.     
81207
BCR_ABL1, minbp qual quant (p190)
4.     
81208
BCR_ABL1, other bp qual quant
5.     
81210
BRAF, V600E
6.     
81211
BRCA1, BRCA2, fgs cdup_del
7.     
81217
BRCA2, kfv
8.     
81218
CEBPA, fgs
9.     
81225
CYP2C19, cv
10.  
81226
CYP2D6, cv
11.  
81235
EGFR, cv
12.  
81245
FLT3, ITD
13.  
81246
FLT3, TKD
14.  
81256
HFE, cv
15.  
81261
IGH, amp
16.  
81262
IGH, dp
17.  
81263
IGH, var reg
18.  
81264
IGK, gr
19.  
81265
STR
20.  
81266
STR add  (for transplants)
21.  
81267
Chimerism, no cell
22.  
81268
Chimerism, with cell
23.  
81270
JAK2, V617F
24.  
81272
KIT, tsa
25.  
81273
KIT,  D816
26.  
81275
KRAS, codons 12 and 13
27.  
81275
KRAS, exon 1
28.  
81276
KRAS, addvar
29.  
81287
MGMT, ma
30.  
81288
MLH1, ma
31.  
81292
MLH1, fgs
32.  
81293
MLH1, kfv
33.  
81294
MLH1, dup_del
34.  
81295
MSH2, fgs
35.  
81296
MSH2, kfv
36.  
81297
MSH2, dup_del
37.  
81298
MSH6, fgs
38.  
81299
MSH6, kfv
39.  
81300
MSH6, dup_del
40.  
81301
MSI
41.  
81310
NPM1, exon 12
42.  
81311
NRAS, ex 2-3
43.  
81313
PCA3
44.  
81314
PDGFRA, tsa
45.  
81315
PML_RAR, cbp
46.  
81316
PML_RAR, sbp
47.  
81317
PMS2, fgs
48.  
81318
PMS2, kfv
49.  
81319
PMS2, dup_del
50.  
81321
PTEN, fgs
51.  
81322
PTEN, kfv
52.  
81323
PTEN, dup_del
53.  
81332
SERPINA, cv
54.  
81340
TRB, beta
55.  
81341
TRB, dp
56.  
81342
TRG, gamma
57.  
81370
HLA I-II, lr ant
58.  
81371
HLA I-II, lr verification
59.  
81372
HLA I, lr complete
60.  
81373
HLA I, lr locus ea
61.  
81374
HLA I, lr 1 ant.
62.  
81375
HLA II, lr DRB1/3/4/5, DQB1
63.  
81376
HLA II, lr locus ea
64.  
81377
HLA II, lr antigen ea
65.  
81378
HLA I-II, hr A, B, C, DRB1
66.  
81379
HLA I, hr complete
67.  
81380
HLA I, hr locus ea
68.  
81381
HLA I, hr allele ea
69.  
81382
HLA II, hr locus ea
70.  
81383
HLA II, hr allele ea
71.  
81400
ACE, idv
72.  
81400
F13B, V34L
73.  
81400
F2, 1199G>A
74.  
81400
F5, HR2
75.  
81400
F7, R353Q
76.  
81400
FGB, -455G>A
77.  
81400
HPA, panel
78.  
81400
HPA-1
79.  
81400
HPA-2
80.  
81400
HPA-3
81.  
81400
HPA-4
82.  
81400
HPA-5
83.  
81400
HPA-15
84.  
81400
IL28B, rs12979860
85.  
81400
SERPINE1, 4G
86.  
81401
ABL1, T315I
87.  
81401
CBFB_MYH11, cv
88.  
81401
CCND1_IGH, ta majbp qual qual
89.  
81401
E2A_PBX1, ta qual quan,
90.  
81401
EML4_ALK, ta
91.  
81401
ETV6_RUNX1, ta qual quan
92.  
81401
EWSR1_ERG, ta qual quan
93.  
81401
EWSR1_FLI1, ta qual quan
94.  
81401
EWSR1_WT1, ta qual quan
95.  
81401
F11, cv
96.  
81401
FIP1L1_PDGFR, qual quan
97.  
81401
FOXO1_PAX3, ta, qual quan
98.  
81401
FOXO1_PAX7, ta, qual quan
99.  
81401
IGH/BCL2, sbp
100.              
81401
MUTYH, cv
101.              
81401
PAX8_PPARG, ta
102.              
81401
RUNX1_RUNX1T1, ta qual quan
103.              
81401
TPMT, cv
104.              
81401
TYMS
105.              
81401
VWF, cv
106.              
81402
IGH_BCL2, majbpr_mcrbp qul_qun
107.              
81402
KIT, cv
108.              
81403
EPCAM, kfv
109.              
81403
F8, intron 1 and 22a
110.              
81403
HEA, gs
111.              
81403
IDH1, exon 4
112.              
81403
IDH1_ IDH2, exon 4 panel
113.              
81403
IDH2, exon 4
114.              
81403
JAK2, exon 12 and 13
115.              
81403
MUTYH, kfv
116.              
81403
 
117.              
81403
RET, kfv
118.              
81403
VHL, dup_del
119.              
81403
VWF, tsa 2A, 2B, 2M
120.              
81404
CDKN2A, fgs
121.              
81404
NRAS, exon 1, 2
122.              
81404
PRSS1, fgs
123.              
81404
RET, cv
124.              
81404
VHL, fgs
125.               
81405
MEN1, fgs
126.              
81405
RET, tsa
127.              
81405
VWF, tsa 2N
128.              
81406
RET, fgs
129.              
81445
Tsa panel, solid organ neoplasm, 5-50 genes
130.            
81450
Tsa panel, hematolymphoid neoplasm, 5-50 genes
131.             
81455
Tsa panel, solid organ or hematolymphoid neoplasm,  51 or >
132.              
81479
ALK
133.              
81479
BCR_ABL1, 210 + 190
134.              
81479
BCR_ABL1, 210 + 190 +other
135.              
 
CALR_MPL
136.              
81479
CYP2D6, CYP2C19
137.              
81479
ERBB2
138.              
81479
ERCC1
139.              
81479
FLT3, ITD + TKD
140.              
81479
HER2
141.              
81479
IGH, IGK
142.              
81479
MYD88, L265P
143.              
81479
NRAS, 2,3,4
144.              
81479
RET/PTC
145.              
81479
ROS1
146.              
81479
TRB/TRG
The following tests have completed the MolDX Technical Assessment Process and limited coverage has been established. Please review the companion policy and/or article for test specific information.
#
Proprietary Test Name
Manufacturer
Effective Date
CPT
MCD #
MolDX Article #
1.   
Afirma
Veracyte
1/1/2012
81545
A523098
M00015
2.   
Allomap
XDx
2/28/2012
81595
A53099
M00016
3.   
Avise PG
Exagen Diagnostics
5/1/2012
84999
A53100
M00026
4.   
BRACAnalysis® Rearrangement Test (BART)
Myriad Genetics
12/1/2006
81213
L36082
 
5.   
BRCA1 Analysis
Myriad Genetics
12/1/2006
81214
L36082
 
6.   
BRCA1/2
Ambry
3/1/2014
81162
L36082
 
7.   
BRACAnalysis CDx
Myriad Genetics
12/19/14
81162
L36082
M00120
8.   
BRCAssureSM
LabCorp
3/1/2014
81162
L36082
 
9.   
BRCAvantage, Comprehensive
Quest
3/1/2014
81162
L36082
 
10.  
Breast Cancer Index
BioTheranostics
11/4/2014
81479
L35631
 
11.  
Cancer26
MUSC
10/3/2013
81445
NA
 
12.
CellSearch
Veridex
5/1/2012
86152 OR 86153
L35071
 
13.
cobas BRAF
Roche
9/7/2012
81210-22
A54018
M00111
14.
cobas EGFR
Roche
9/5/2013
81235-22
A54021
M00110
15.
cobas KRAS
Roche
5/7/2015
81275-22
A54472
M00121
16.  
Comprehensive BRACAnalysis®
Myriad Genetics
12/1/2006
81211
L36082
 
17.
Confirm MDx
MDx Health
11/4/2014
81479
L35632
 
18.
Corus CAD
CardioDx
7/30/2012
81493
A53102
M00009
19.
CTID
BioTheranostics
12/27/2011
81540
A53101
M00027
20.
Decipher
GenomeDX
10/01/2015
81479
L35868
 
21.
FoundationOne®
Foundation One
10/01/2015
81479
L36143
 
22.
GeneSight
Assurex Health
10/27/2014
81479
L35633
 
23.
HERmark
LabCorp
12/9/2011
81479
A53103
M00028
24.
Integrated BRAC Analysis ®
Myriad Genetics
12/1/2006
81479
L36082
 
25.
Mammaprint
Agendia
11/16/2009
81479
A53104
M00029
26.
OncotoypeDx Colon
Genomic Health
9/27/2011
81525
A53106
M00002
27.
OncotypeDX Breast
Genomic Health
3/26/2012
81479
A53105
M00003
28.
PreciseType™ HEA Bead
Immucor
6/22/2015
81403
L36074
 
29.
Progensa
Gen Probe
9/6/2012
81313
A53107
M00013
30.
Prolaris
Myriad Genetics
3/2/15
81479
L35869
 
31.
therascreen EGFR
Qiagen
9/5/2013
81235-22
A54021
M00110
32.
therascreen-Kras
Qiagen
4/30/2013
81275-22
A54472
M00121
33.
ThxID™ BRAF V600E/K Test
bioMerieux, Inc.
1/9/2014
81210-22
A54018
M00111
34.
Tissue of Origin
ResponseDx
12/22/2011
81504
A53108
M00034
35.
TRofile DNA
LabCorp
5/5/2012
87999
 
 
36.
Trofile
LabCorp
5/15/2012
87999
A53528
M00042
37.
Ventana ALK Assay
Roche
6/12/15
88342
A54656
M00122
38.
Vectra-DA
Crescendo
6/30/2012
81490
A53110
M00031
39. 
Vysis
Abbott
10/2/2012
88374 OR 88377
A54656
M00122

Next Generation Sequencing Coding and Billing Guidelines (M00127, V1)

As published December 16, 2015.

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MolDX
Next Generation Sequencing Coding and Billing Guidelines (M00127, V1)
Next Generation Sequencing (NGS)
NGS testing platforms allow identification of somatic and/or germline alterations in multiple genes at the same time. This guideline focuses on two main types of somatic, tumor tissue-based, testing panels.  Germline panels will be addressed in another article as needed.
Targeted (aka Hot Spot) Tumor Panels
Targeted NGS panels identify somatic alterations known to occur in certain areas (i.e., 'hotspots') in specific genes of interest. Generally, these NGS panels can detect single nucleotide variants (SNVs or point mutations) and small (typically ≤10 bp) insertions or deletions. These alterations typically represent genomic targets with corresponding targeted cancer therapies. Identification of a genomic target guides use of the corresponding targeted therapy.
To bill for targeted NGS services, select CPT codes 81445, 81450 and 81455 according to the number of genes in your laboratory’s NGS panel for solid tumor and hematolymphoid neoplasms. The UOS for the NGS panel is one.
Note: Individual gene tests performed in the NGS panel should NOT be registered and reported with multiple CPT Tier 1 and/or Tier II codes. 
Comprehensive Genomic Profile (CGP) TestingCGP refers to NGS-based testing that has been optimized to identify all types of molecular alterations (i.e., SNVs, small and large insertions and deletions, CNVs, and rearrangements/translocations/fusions) in cancer-related genes in a single test using complex proprietary bioinformatics. 
Because CGP includes SNVs, small (≤ 10 bp) and large (> 10 bp) insertions and deletions, CNVs, AND rearrangements (i.e., translocations/fusions), CPT codes 81445, 81450, and 81455 do NOT describe a CGP service. Therefore, to report a CGP service, test providers should use CPT code 81479 - Unlisted molecular pathology procedure.

last updated on 12/16/2015

Friday, December 11, 2015

MolDX Response to Comments on CYP Testing

https://www.cms.gov/medicare-coverage-database/details/article-details.aspx?articleId=54236&ver=3&ContrId=353&ContrVer=1&LCDId=36311&name=353*1&UpdatePeriod=654&IsPopup=y&

Article ID 54236


Response to Comments
COMMENTRESPONSE
Cover CYP2C19 for Clopidogrel on a case by case basis; all Clopidogrel treated patients after acute myocardial infarct; expand coverage to patients with high risk characteristics. We request that the LCD recognize individual medical review to allow coverage for CYP2C19 testing in the patient on clopidogrel who would be considered high risk based on clinical characteristics.From the latest CPIC statement on CYP2C19 and CLOPIDOGREL (Scott, 2013), “Current data do not support the use of CYP2C19 genotype data to guide treatment in other scenarios”.
Cover CYP2C19 for Amitriptyline We recommend coverage of CYP2C19 testing for use in patients being treated with amitriptyline, nortriptyline, and the tricyclic anti-depressants.While the literature is promising and it is likely that CYP-based drug dosing will eventually become the standard of care, the evidence does not yet support that drug selection or dosing based on CYP genotype improves patient outcomes outside of the scenarios described in the Covered Indications section of the LCD. We agree that CPIC guidelines are useful in evaluating the strength of clinically relevant pharmacogenetic data and attempt to incorporate these recommendations when evidence is strong and shows a significant clinical impact. CPIC classified the level of evidence to support an initial dose reduction for CYP2C19 poor metabolizers as moderate based on a lack of randomized trials. Further studies of amitriptyline, nortriptyline, and other TCAs are necessary to strengthen the robustness of this recommendation.
Cover CYP2C19 for Proton Pump Inhibitors We recommend coverage for CYP2C19 testing in conjunction with initiating therapy with omeprazole, lansoprazole, pantoprazole, or esomeprazole at standard dosing as first line therapy unless other evidence is submitted; we request for expansion of coverage to patients being treated with a PPI for GERD and H. Pylori.We agree that the medical literature supports an association between CYP2C19 genotype and response to PPIs; however, the lack of risk of adverse effects and the simple recommendation to increase the dose in patients who do not respond does not support clinical utility for this testing at this time.
Cover CYP2D6 and/or CYP2C19 for Antidepressants for numerous diagnoses Multiple commenters recommended coverage of CYP2D6 testing for all TCAs and for all FDA-labeled indications and off-label indications accepted as medical practice and covered by Medicare, e.g. use of amitriptyline for treatment of neuropathic pain.Although tricyclic antidepressants have similar pharmacokinetic properties, there is limited data regarding CYP2D6 genotyping and other TCAs. Evidence to support the use of genetic testing prior to initiating certain TCA due to the effects of genotype on drug efficacy and safety was reviewed and covered in this policy. However, there is insufficient evidence for CYP2D6 genotyping for individuals considering antipsychotic medications or other antidepressants. While the literature is promising and it is likely that CYP-based drug dosing will eventually become the standard of care, the evidence does not yet support that drug selection or dosing based on CYP genotype improves patient outcomes outside of the scenarios described in the Covered Indications section of the LCD. We agree that CPIC guidelines are useful in evaluating the strength of clinically relevant pharmacogenetic data and attempt to incorporate these recommendations when evidence is strong and shows a significant clinical impact. CPIC classified the level of evidence to support an initial dose reduction for CYP2C19 poor metabolizers as moderate based on a lack of randomized trials. Further studies of amitriptyline, nortriptyline, and other TCAs are necessary to strengthen the robustness of this recommendation.
Cover CYP2D6 for Codeine A commenter requested that the required level of evidence be applied uniformly, e.g. the strength of evidence for CYP2D6 for codeine is the same in the CPIC guidelines as that for CYP2C19 for clopidogrel and CYP2D6 for amitriptyline/ nortriptyline, which Noridian has determined have a sufficient level of evidence to cover. A commenter requested that Medicare provide coverage for medically necessary testing for ALL beneficiaries, regardless of age or reason for eligibility for Medicare, e.g. disability and that coverage for CYP2D6 genotyping for codeine (and related drugs) based on presence of national guidelines, the strength of evidence cited in the guidelines and the presence of an FDA black box warning.The efficacy and toxicity, including severe or life-threatening toxicity after normal doses of codeine has been linked to an individual’s CYP2D6 genotype (Crews 2014). However, FDA warnings related to the highest risk patients (breastfed neonates and children) recommend against the use of codeine regardless of CYP2D6 genotype. CYP2D6 genotyping patients would indicate avoidance of codeine due to risk of adverse events in only 1-2% of the population, and there is considerable variation in the degree of severity of adverse events, with most not classified as serious. Codeine has been widely used without genotyping and is universally available so access to medical care is not limited. There is insufficient evidence to support clinical utility of genotyping for management of codeine therapy.
Coverage of CYP2C9 and VKORC1 according to NCD 90.1 Both CYP2C9 and VKOCR1 should be covered within the context of a clinical study/coverage with evidence development according to NCD 90.1; if significant reductions in hospitalizations have been conclusively proven through CYP2C9 and VKORC1 genotyping, why does the draft policy limit testing to patients who are “enrolled in a prospective, randomized, controlled study when the study meets the following standardsNoridian covers CYP2C9 and VKORC1 genotyping for warfarin as described under NCD 90.1. All other uses not specifically listed in the NCD or this LCD are considered experimental, investigational, and unproven. If Noridian has missed publications that clearly demonstrates reductions in hospitalizations, the commenter needs to provide this information via a reconsideration request.
Delay postponement of this LCD until 2016; delay implementation until further evidence confirming or negating the clinical utility of pharmacogenetic (PGx) testing is collected; advancements in medicine will be hindered without continued reimbursement for PGx testing; restricting coverage will greatly reduce availability of test data in coming years and considerably delay test inclusion in standard of care practices; LCD is clearly a cost control measure because it excludes all but a narrow subset of the conditions and providers that currently benefit for the testing; delay LCD so that the evidence regarding the true impacts of this decision can be thoroughly reviewed, analyzed and understood Commenters requested postponement of this LCD until additional data was forthcoming.Noridian will reconsider published evidence when it becomes available. Coverage requires evidence of demonstrated clinical utility – that a test result improves patient outcomes, and/or changes physician management that improves patient outcomes. Clinical utility has only been established for a narrow subset of conditions. Evidence of improved patient outcomes will quickly establish standard of care.
Cover ICD-9 995.2 (Other and unspecified adverse effect of drug, medicinal and biologic substance), beneficiaries accepted into approved studies or participating in Medicare Innovations Programs (CPCI or Shared Savings), and for patients at high risk of gene-based adverse drug events. A commenter requested coverage for the above groups for the above patient groups if the LCD is implemented prior to 2016.There is no published evidence to support coverage for CYP testing for the above patient groups.
Reconsider coverage of cytochrome P450 gene metabolizer status in relation to limited coverage for GeneSight Psychotropic Panel.Noridian should reconsider their current position on the utility of individual cytochrome P450 gene metabolizer status in relation to limited coverage provided for Genesight® Psychotropic Panel.GeneSight is multiplex pharmacogenomic test involving the analysis of fifty alleles (SNPs) from six different genes and a clinical outcomes-based decision support modeling tool that weights the influence of the various alleles/SNPs with respect to thirty-two different psychotropic pharmaceutical agents. The test results in the differentiation of psychoactive drugs that are likely to be effective and well-tolerated by a particular patient versus those that are not. In multiple prospective clinical studies, the use of GeneSight® to guide neuropsychiatric pharmaceutical selection and prescription has demonstrated an increased patient response to treatment from 60% to 250% (as measured by the standardized 17-item Hamilton Rating Scale for Depression or HAM-17; response is defined as = 50% reduction in HAM-D17 score) versus unguided, empirical treatment (or treatment as usual). Prospective evidence is required to demonstrate the effectiveness and utility for individual or P450 gene combination testing.
LCD is inconsistent with expert panel recommendations The Noridian Proposal is inconsistent with expert panel recommendations that were based on evaluation of the scientific literature that was used to develop drug-gene specific guidelines.Adherence to any guideline is voluntary, with the ultimate determination regarding its application to be made solely by the clinician and the patient. They are not binding and intended only to assist clinicians in decision making.
The FDA has issued Black Box Warnings for over 100 medications recommending pharmacogenomic markers need to be assessed before and if patients are placed on these medications.There is clear evidence of the clinical validity of CYP450 genotyping. However, there is limited evidence that genotyping and subsequent alterations to patient management improve patient outcomes for many scenarios; the clinical utility of CYP450 genotyping is proven in limited scenarios only. The draft LCD does not conflict with the FDA’s assessment of the clinical validity of CYP450 genotyping and potential relationship between genotype and drug response. FDA labeling as referenced does not mandate genotyping, but rather serves to warn clinicians that certain patient subgroups may exhibit altered drug response, and clinicians should be aware of alternative treatment strategies when appropriate. The draft LCD defines clinical scenarios where genotyping improves patient outcomes compared to outcomes when genotyping is not performed, which is not addressed by the FDA.
Who and what establishes “insufficient” data? Exactly who and what defines the term “insufficient” data to support coverage of any and all CYP450 and VKORC1 genetic mutation tests utilized in the practice of medicine; if significant reductions in hospitalizations have been conclusively proven through CYP2C9 and VKORC1 genotyping,For Medicare coverage purposes, Medicare Administrative Contractor (MAC) Medical Directors establish sufficiency of data. A well characterized hierarchy of evidence is recognized by trained clinicians and scientists. In the absence of published scientific evidence that demonstrates clinical utility, the data is “insufficient”.