Local Coverage Determination (LCD)

MolDX: Inivata™, InVisionFirst®, Liquid Biopsy for Patients with Lung Cancer

L37921

Expand All | Collapse All
Proposed LCD
Proposed LCDs are works in progress that are available on the Medicare Coverage Database site for public review. Proposed LCDs are not necessarily a reflection of the current policies or practices of the contractor.

Document Note

Note History

Contractor Information

LCD Information

Document Information

Source LCD ID
N/A
LCD ID
L37921
Original ICD-9 LCD ID
Not Applicable
LCD Title
MolDX: Inivata™, InVisionFirst®, Liquid Biopsy for Patients with Lung Cancer
Proposed LCD in Comment Period
N/A
Source Proposed LCD
DL37921
Original Effective Date
For services performed on or after 04/15/2019
Revision Effective Date
For services performed on or after 11/30/2023
Revision Ending Date
N/A
Retirement Date
N/A
Notice Period Start Date
02/28/2019
Notice Period End Date
04/14/2019

CPT codes, descriptions, and other data only are copyright 2023 American Medical Association. All Rights Reserved. Applicable FARS/HHSARS apply.

Fee schedules, relative value units, conversion factors and/or related components are not assigned by the AMA, are not part of CPT, and the AMA is not recommending their use. The AMA does not directly or indirectly practice medicine or dispense medical services. The AMA assumes no liability for data contained or not contained herein.

Current Dental Terminology © 2023 American Dental Association. All rights reserved.

Copyright © 2024, the American Hospital Association, Chicago, Illinois. Reproduced with permission. No portion of the AHA copyrighted materials contained within this publication may be copied without the express written consent of the AHA. AHA copyrighted materials including the UB‐04 codes and descriptions may not be removed, copied, or utilized within any software, product, service, solution, or derivative work without the written consent of the AHA. If an entity wishes to utilize any AHA materials, please contact the AHA at 312‐893‐6816.

Making copies or utilizing the content of the UB‐04 Manual, including the codes and/or descriptions, for internal purposes, resale and/or to be used in any product or publication; creating any modified or derivative work of the UB‐04 Manual and/or codes and descriptions; and/or making any commercial use of UB‐04 Manual or any portion thereof, including the codes and/or descriptions, is only authorized with an express license from the American Hospital Association. The American Hospital Association (the "AHA") has not reviewed, and is not responsible for, the completeness or accuracy of any information contained in this material, nor was the AHA or any of its affiliates, involved in the preparation of this material, or the analysis of information provided in the material. The views and/or positions presented in the material do not necessarily represent the views of the AHA. CMS and its products and services are not endorsed by the AHA or any of its affiliates.

Issue

Issue Description

Review completed with no change in coverage.

Issue - Explanation of Change Between Proposed LCD and Final LCD

CMS National Coverage Policy

Title XVIII of the Social Security Act (SSA), §1862(a)(1)(A) allows coverage and payment for only those services that are considered to be reasonable and necessary for the diagnosis or treatment of illness or injury or to improve the functioning of a malformed body member.

42 CFR §410.32 Diagnostic x-ray tests, diagnostic laboratory tests, and other diagnostic tests: Conditions

CMS Internet-Only Manual, Pub, 100-03 Medicare National Coverage Determinations Manual, Chapter 1, Part 2 §90.2 Next-Generation Sequencing for Patients with Advanced Cancer

CMS Internet-Only Manual, Pub. 100-02, Medicare Benefit Policy Manual, Chapter 15, §80 Requirements for Diagnostic X-Ray, Diagnostic Laboratory, and Other Diagnostic Tests, §80.1.1 Certification Changes

Coverage Guidance

Coverage Indications, Limitations, and/or Medical Necessity

This test is a “liquid biopsy”. It is intended to assist physicians caring for patients who suffer from a common form of lung cancer and who have advanced disease.

This policy provides limited coverage for InvisionFirst® - Lung (Inivata™, Research Triangle Park, NC) (hereafter InVision®) a plasma-based, somatic comprehensive genomic profiling (CGP) test for patients with advanced (Stage IIIB/IV) non-small cell lung cancer (NSCLC)

  • At diagnosis
    • When results for EGFR single nucleotide variants (SNVs) and insertions and deletions (indels); rearrangements in ALK and ROS1; and SNVs for BRAF are not available AND when tissue-based CGP is infeasible [i.e., quantity not sufficient (QNS) for tissue-based CGP or invasive biopsy is medically contraindicated],

      or

  • At progression
    • For patients progressing on or after chemotherapy or immunotherapy who have not been tested for EGFR SNVs and indels; rearrangements in ALK and ROS1; and SNVs for BRAFs, and for whom tissue-based CGP is infeasible;

      or

    • For patients progressing on EGFR tyrosine kinase inhibitors (TKIs),

If no genetic alteration is detected by InVision® or if circulating tumor DNA (ctDNA) is insufficient/not detected, tissue-based genotyping should be considered.

Summary of Evidence

Background

It is estimated that more than 222,500 new cases of lung cancer will be diagnosed in the United States (US) this year.1 This represents roughly 13% of all new cancer diagnoses and 26% of cancer deaths.1 At least 87% of lung cancer is NSCLC.2 The estimated 5-year survival rate for all NSCLC cancer patients is 17%, and only 4% for patients with advanced (stage IIIB/IV) disease.3

The pathophysiological development of lung cancer is complicated, with several known genomic alterations found individually or in combination in many patients. These alterations may be due to toxic exposure or underlying genetic factors, and not all alterations have the same impact on disease development or prognosis. Some alterations appear to be integral to the transformation and ongoing growth of the tumor (driver alterations).

Among the best-studied genomic alterations are EGFR SNVs and indels and EML4-ALK rearrangements/fusions. EGFR-mutated NSCLC comprises up to 15% of all NSCLC patients in the US, with higher prevalence in certain ethnic groups (e.g., 40% in Asian Americans and 26% in Latin Americans).4 These mutations convey a more favorable prognosis and predict response to treatment with oral EGFR inhibitors such as erlotinib, gefitinib, osimertinib or afatinib. Rearrangements of ALK and EML4, or with other less common fusion partners, occur in approximately 4% of all NSCLC patients and predict response to treatment with oral ALK-targeted inhibitors such as crizotinib, ceritinib, or alectinib.5 Recently, dabrafenib in combination with trametinib has been approved for BRAF V600E positive metastatic NSCLC.6

Genomic alterations in NSCLC vary by smoking history, ethnicity and age. Sequencing of tumor specimens in never-smokers demonstrates a higher mutation prevalence of EGFR than in smokers. Some non-smoking ethnic groups, such as Asian women, have a much higher mutation prevalence than their Caucasian counterparts.7 Prevalence of ALK rearrangements is also higher in non-smokers.8 In contrast, smokers have a higher prevalence of targetable alterations in the MET and BRAF genes.9-10

Tumor Tissue Genotyping
Failure of oncologists to order genotyping, inadequate quantity or quality of tissue specimen, and the necessity for repeat invasive biopsies with their associated complications and costs are just a few issues that confound tumor-tissue genotyping. Traditionally, tumor genotyping has been conducted by direct interrogation of tumor tissue obtained through invasive tissue sampling procedures. However, this diagnostic approach is limited by the availability of sufficient tumor tissue and the ability of patients to undergo invasive procedures.

In a recent study of more than 100 community-based oncologists, nearly one-third of NSCLC patients were not tested for EGFR or ALK mutations, and more than 75% were not tested for ROS1 fusions. Fewer than 10% of NSCLC patients were tested for all guideline-recommended alterations.11 These results are similar to a study in a single academic center where 58% of non-squamous NSCLC were tested for EGFR and 40% for ALK fusions, despite repeat invasive biopsies to obtain sufficient tissue for genomic testing in 13% of patients.12-13 Tissue availability was similarly limited in several recent series, some of which reported that more than 50% of NSCLC patients had insufficient or unobtainable material for tissue-based CGP.14-16

Even when adequate tissue for next-generation sequencing (NGS) testing is available for testing, many specimens do not yield a complete result for a variety of reasons. Pre-analytical variables in tissue preservation are known to impact the quality and success of the NGS testing. Some of these variables include tissue fixation and processing variables, the volume of tissue (needle biopsy or resection specimen) available for testing, and the fraction of tumor cells within the specimen. Evaluating somatic mutations in formalin-fixed, paraffin-embedded (FFPE) tissue below 5% allele frequency is challenging due to these pre-analytical variables.17-19

Recently, the Oncomine™ Dx Target Test (Thermo Fisher Scientific Inc., Waltham, MA) and FoundationOne® CDx (Foundation Medicine, Cambridge, MA) tissue-based NGS panel assays received Federal Drug Administration (FDA) approval and Medicare coverage as alternatives to multiple, individual FDA-approved companion diagnostics (CDx).20,21 The Oncomine™ panel is considered the least tissue intensive of the CGP tissue profiling panels. In the Oncomine™ clinical validation studies submitted for FDA-approval, only 60% of samples had sufficient tissue for successful testing. The Oncomine™ validation set included surgical resections specimens that generally have a higher tumor load than diagnostic biopsies and may represent an over-estimate of successful testing specimens.20

Currently, a variety of techniques are used to test for genomic alterations in plasma specimens to determine if a patient is a candidate for targeted therapy, including the FDA-approved Cobas® EGFR Mutation Test (tissue or plasma samples) for erlotinib and osimertinib. This assay interrogates specific regions in EGFR to determine whether the genomic alteration of interest is present.22 For various reasons, these CDx and other existing lab developed test (LDT) techniques may miss deleterious EGFR mutations, ALK rearrangements, and other genomic alterations that can be targeted with FDA-approved drugs, though efficacy data for the patient’s specific indication may be limited. For example, alterations may occur outside the sequenced region or involve complex alterations (e.g. indels, copy number alterations, or rearrangements) that are not detectable by certain tests.22

Within the InVision® clinical validation studies, only 33% of the prospectively recruited NSCLC patients had sufficient tissue for complete CGP. The remaining 67% either had no tissue for genomic analysis (31%) or had only enough tissue for some, but not all markers required (36%). This data underscores the marked limitation of available tissue specimens for tissue CGP testing and emphasizes the importance of plasma-based CGP testing.

Even when successful, tissue acquisition procedures pose a significant morbidity and mortality risk to Medicare patients. In a recent report, 19% of all lung tissue acquisition procedures resulted in a serious adverse event.23 The National Lung Cancer Screening Trial reported 1-2% mortality rates in their cohorts.24

Given that the majority of lung cancer diagnoses are based on needle biopsy, and that only 30%-60% of tissue specimens provide full informative results by CGP, plasma-based CGP (ctDNA testing) identifies genetic alternations for use of targeted therapies without delay in therapy,25 and without the risks and costs of repeat invasive biopsy.23,26 InVision detects genomic targets linked to targeted drug therapies used at diagnosis and/or progression with response rates similar to those patients identified using tissue-based CGP and tissue-based CDx.

InVision® Test Description and Performance
InVision® is a plasma-based circulating tumor DNA (ctDNA) NGS assay for detection of genomic alterations consisting of 36 commonly mutated genes. It utilizes technology first developed by the Cancer Research UK (CRUK)-funded Cambridge Institute at the University of Cambridge. 27-29 The group was first to publish industry standard ctDNA methods, including hybrid capture and the highly sensitive tagged amplicon, deep sequencing or TAm-Seq™ technology. The InVision® assay utilizes an enhanced version of the TAm-Seq™ method developed by Inivata™ to detect clinically relevant cancer mutations of low allele fractions in cell free DNA (cfDNA) including substantial improvements and optimizations to maximize sensitivity and specificity of the assay.28

Approximately 76% of patients with NSCLC are known to have a genomic alteration in tumor tissue for 1 of 8 genes (EGFR, ALK, ROS1, BRAF, MET, ERBB2, KRAS, STK11).30 These alterations constitute actionable driver alterations (EGFR, ALK, ROS1, BRAF, MET, ERBB2 - rule-ins) associated with FDA-approved therapies or are recognized as mutually exclusive for actionable changes (STK 11 and KRAS-rule-outs). These alterations have not been described as significant mutations contributing to clonal hematopoiesis of indeterminate potential.31

Analytical Validation
The analytical validation of the InVision® assay was conducted according to the deliverables outlined in the Molecular Diagnostic Services Program (MolDx®) document M00135 v2.0. Using contrived samples and tested with multiple users, multiple reagent lots and across multiple days, the sensitivity, specificity, reproducibility, and level of detection (LoD) is summarized for all 4 variant types in the test system: SNV, Structural Variants (SV), indel, and CNV. Using patient samples, orthogonal comparison to digital PCR/fluorescent in-situ hybridization (dPCR/FISH) techniques was generated for SNVs, indels and SVs. Interference of somatic mutation detection was investigated with both spiked EDTA or Streck BCT plasma with fragmented cell line DNA and detection was shown to be comparable.

In the analysis of the contrived sample sets (Table 1), the positive percent agreement (PPA) is 96.6% for SVs, 100% for SNVs, 97.4% for indels and 100% for CNVs. The positive predictive value (PPV) is 100% for SVs, 99.8% for SNVs, 100% for indels and 98.3% for CNVs. Specificity was shown to be acceptable for all variants. One CNV false positive was seen. No false positives were seen with indels or SVs. In normal donor analysis, 1 SNV is considered to be a false positive. Specific variants described in M00135 were further analyzed for specificity and were shown to be of high specificity (>99% negative percent agreement [NPA]). Reproducibility for all variants as analyzed at the LoD region was shown to be acceptable within reagent lots, within operators, and overall.

Table 1. Analytical Performance for the InVisionFirst® assay. 

Platform Actionable Alterations Sensitivity Specificity
InvisionFirst® amplicon-based 36 gene panel

 EGFR
ALK
ROS1
BRAF
ERRBB2
MET
KRAS
STK11

 

 Alteration  Result Alteration  Result
 SNVs  100% @ >0.25AF  SNVs 99.9 @ >0.25%AF
 Indels  97.4% @ >0.25AF Indels 100% @ >0.25%AF
 Fusions  96.6% @ >0.5% Fusions 100% @ >0.5%
 CNVs 98.3% @ 1.5x CNAR CNVs 99.8 @ 1.5x CNAR

 

Sensitivity for both the detection of contrived samples and patient samples is shown in Table 2. The goals for meeting the lower 95% CI for the M00135 guidance was met at both the LoD region and at the region >3x or 2x LoD. Specific variants described in M00135 were further analyzed for sensitivity and were shown to be of high sensitivity (>97% PPA) in all variants (Table 3). Orthogonal testing, 32 Table 4, showed very good agreement with dPCR with the region of greatest disagreement between the 2 technologies occurring at the LoD90-3xLoD90 region. Above the 3xLoD90 region the agreement between dPCR and NGS was 100%. 8/9 ALK or ROS1 fusions were detected where the tissue was shown to be FISH positive for the fusions.32 

Table 2- Performance Characteristics - All Variants Tested Contrived Samples

Variant Type Detail Unique Samples Unique Variants Expected1 No Calls Unique Variants by ctDNA Concordant Unique Variants Variant-level PPA (95% CI)2 Variant-level TPPV (95% CI) Variant-level Reproducibility (95% CI)
SNVs VAF=>0.75% 41 519 0 519 519 100% (CI:0.9963 to 1,000)

99.8%
(CI: 0.9911 to 0.9998)

N/A
SNVs Expected VAF = 0.25%-0.75% VAF 4 76 0 76 76 100%
(CI: 0.9751 to 1,000)
98.7%
(CI: 0.9409 to 0.9986)
98.8% (0.9706-0.9958)
Indels ≤ 20 bp >0.75% VAF 29 74 2 72 72 97.3%
(CI: 0.9161 to 0.9943)
100.0%
(CI: 0.9738 to 1.000)
N/A
 Indels ≤20 bp Expected VAF = 0.25%-0.75% 6 41 1 40 40 97.6%
(CI: 0.8916 to 0.9974)
100.0%
(CI: 0.9575 to 1.000)
85.6% (0.7987-0.9011)
 CNAs >2x CNA 28 28 0 28 28 100.0%
(CI: 0.9484 to 0.9999)
97.3%
(CI: 0.8806 to 0.9971)
N/A
 CNAs  Expected CN AR = 1.5x - 2x CN AR 21 24 0 23 23 95.8%
(CI: 0.8213 to 0.9995)
95.8%
(CI: 0.8213 to 0.9995)
93.8% (0.8143 - 0.9868)
 SVs VAF>1.5% 19  38  0  38 38 100.0%
(CI: 0.9510 to 1.000)

100.0%
(CI: 0.9510 to 1.000)

N/A
 SVs  Expected VAF = 0.5%-1.5% VAF 25 50 3 47 47 94.0%
(CI: 0.8485)
100.0%
(CI: 0.9705)
90.0% (0.7946-0.9608)

 

Table 3- Performance Characteristics – Specific Variants Tested Contrived Samples

Variant Type Unique Samples Samples with Specified Variant Expected No Calls Samples with Specified Variant Detected by ctDNA Concordant "Positive" Samples Concordant "Negative" Samples Sample-level PPA (95% CI)2 Sample-level NPA (95% CI)2
AKL (SVs) 54 54 2 52 52 95

98.1%
(0.8865 - 0.9922)

100%
(0.9800 - 1.000)
BRAF (V600E and V600K) 43 43 0 43 43 109 100%
(0.9566 - 1.000)
100%
(0.9826 - 1.000)
EGFR (G719A, G719C, G719S, S768I, T790M, L858R, L861Q) 43 43 0 83 83 436 100%
(0.9772 - 1.000)
100%
(0.9956 - 1.000)
EGFR (ex on 19 deletions and exon 20 insertions) 43 30 1 40 40 217 97.6%
(0.8916 - 0.9974)
99.5%
(0.9788 - 0.9995)
ERBB2 (CNAs) 14 14 0 14 14 109 100%
(0.8739 - 1.000)
100%
(0.9826 - 1.000)
ERBB2 (exon 20 insertions) 47 5 0 5 5 109 100
(0.6943 - 1.000)
100%
(0.9826 - 1.000)
KIT (exon 9, 11, 13, 17, and 18 SNVs) 43 17 0 17 17 109 100%
(0.8747 - 1.000)
100%
(0.9826 - 1.000)
KRAS (codon 12, 13, 61, and 146 SNVs) 43 43 0 158 158 436

100%
(0.9879 - 1.000)

100%
(0.9956 - 1.000)
MET (CNAs and exon 14 skipping mutation) 43 18 0 18 18 109 100%
(0.9001 - 1.000)
100%
(0.9826 - 1.000)

 

Table 4- Performance Characteristics - Orthogonal Testing1 (dPCR SNV/Indel; FISH SV), All Variants Tested

Variant Type Detail Unique Samples Unique Variants Expected by non-NGS method No Calls Unique Variants by ctDNA Concordant Unique Variants Variant - level PPA (95% CI)

Variant level APPV
(95% CI)

SNVs VAF=>0.75% 97 43 0 43 43 100%
(CI: 0.9566 to 1.000
100%
(CI: 0.9566 to 1.000)
SNVs Expected VAF = 0.25% - 0.75% VAF 77 15 0 17 12 80%
(CI: 0.5564 to 0.9402)
70.6%
(CI: 0.0.4702 to 0.8778)
Indels ≤ 20bp
>0.75% VAF
56 31 0 31 31 100%
(CI: 0.9404 to 0.9999)
100.0% (CI:0.9404 to 0.9999)
Indels ≤ 20 bp
Expected VAF = 0.25% - 0.75%
32 7 0 6 6 85.7%
(CI: 0.4992 to 0.9841)
100.0%
(CI: 0.7358 to 0.9997)
SVs2 Any Detection 9 9 0 8 8 88.9%
CI: 0.5855 to 0.9877
100.0%
CI: 0.7925 to 0.9998

1 CNA not tested with orthogonal method
2 Neither non-NGS method or NGS method returns quantitative values.

Clinical Validation
The InVision® test was investigated prospectively in advanced untreated patients with non-squamous NSCLC blood samples.33 Clinical validation data consists of combined analysis of 3 studies. Two prospective multicenter studies (NCT02906852 and NCT03116633) demonstrated the concordance of the InVision® assay with tissue-based CGP in 254 patients with untreated advanced (stage IIIB/IV) non-squamous NSCLC. A third study consisted of a small group of banked matched tissue and plasma samples (n=10) from an equivalent patient population that were procured from a commercial bio-repository and used to supplement the prospective collections. Across the 264 patients, only 165 patients (62.5%) had tissue available for testing for any point mutations/ indels. For 159 patients (60.2%), tissue was tested for ROS1 and/or ALK fusions. 119 patients (45% of patients) underwent CGP.

 

The performance of InVision® is highlighted by the following factors:

  • High Sensitivity: for each of the key 8 genes used for therapeutic treatment decision with an overall plasma sensitivity of 73.9% (73.9% of tissue results are identified in plasma);
  • High Proportion of Informative Results: based on the utilization of 8 specific genes (present in tumors independently of each other occurring in 53% of NSCLC) each with individual high gene sensitivity;
  • High Specificity: for each of the 8 panel genes that supports correct therapeutic determination (CTD) in the 53% of patients with informative results.

Based on literature evidence of the prevalence of the genetic alterations in the 8 genes of most interest (76%) and an assumed 70% clinical sensitivity for ctDNA testing, the authors predicted an informative result in 50% of patients with untreated advanced NSCLC (0.76x0.7). Clinical CTD performance based on InVision® profiling results yielded actionable genes in 18.2% of patients and rule-out findings in 35.6%, an informative result in 53.8% of patients (95%; CI 41%-56.2%) (Table 5). Of the plasma positive gene results, when either a molecular change in the 6 actionable driver genes (rule-in), or a non-targetable gene (rule-out) was detected, the CTD was 100%. This clinical validity is consistent across the entire intended use population (n=264), both those with and without tissue for profiling.

Table 5: InVision® - ctDNA Clinical Validity

Class Alterations Detected Total Enrolled (n=264) Plasma (%) Total Enrolled (n=264) Tissue (%)
  Plasma Tissue
Rule-In   48 18.18 38 14.39
  EGFR exons 18-21 26 9.85 18 6.82
  ALK-ROS1 fusions 5 1.89 5 1.89
  ERBB2 exon 20 insertions 4 1.52 2 0.76
  BRAF V600E 6 2.27 7 2.65
  MET exon 14 splice 7 2.65 6 2.27
Rule-Out KRAS/STK11 94 35.61 70 26.52

 

Performance characteristics for clinically actionable alterations in 8 genes that effect clinical patient management were: PPV-97.8%, NPV-97.1%, sensitivity-73.9% and specificity-99.8% (Table 6).

Table 6: Concordance of Combined and Individual Actionable Driver Genomic Alterations*“Key 8 genes” refers to the combination of all directly actionable mutations (ALK/ROS1 fusions, BRAF V600E, EGFR exons 18-21, ERBB2 insertions, MET exon 14 splice) and KRAS and STK11 variants.

  Tissue and liquid Tissue only Liquid only No call PPV NPV Sensitivity Specificity
ALK/ROS1 fusions 2 3 0 292 100.0 99.0 40.0 100.0
BRAF V600E 5 2 0 140 100.0 98.6 71.4 100.0
EGFR (exons 18-21) 13 5 0 146 100.0 96.7 72.2 100.0
ERBB2 exon 20 ins 2 0 0 137 100.0 100.0 100.0 100.0
KRAS 48 12 1 86 98.0 87.8 80.0 98.9
MET exon 14 splice 3 3 0 133 100.0 97.8 50.0 100.0
STK11 15 6 1 93 93.8 93.9 71.4 98.9
Key 8 genes* 88 31 2 1027 97.8 97.1 73.9 99.8
All Genes 156 65 32 4135 83.0 98.5 70.6 99.2

 

*“Key 8 genes” refers to the combination of all directly actionable mutations (ALK/ROS1 fusions, BRAF V600E, EGFR exons 18-21, ERBB2 insertions, MET exon 14 splice) and KRAS and STK11 variants.

Clinical Utility
Clinical utility has been demonstrated with prospective outcome collection from within the clinical validation study and within additional studies at the Institute Gustave Roussy (Paris, France) and Centre Leon Berard (Lyon, France), and in 3 groups of patients; namely,

1) Patients not exposed to any prior therapy and receiving targeted therapy directed by the assay
2) Patients with no prior targeted therapy but other therapy and targeted directed by the assay, and
3) Patients with prior anti-EGFR targeted therapy and now progressing with the specific osimertinib sensitive mutation T790M detected by the assay26

As detailed recently by the FDA, time on treatment was used as the endpoint for clinical impact of targeted therapy.34 When targeted therapies are used in patients without a specific target, average time on treatment is well under 2 months35 With current directed targeted treatment in NSCLC, it is unusual to come off therapy before 3 months.29 Regardless of which group mentioned above was assessed, disease control at 3 months was approximately 80% or more, which is equivalent to the best outcomes of any target agent reported. This is strong evidence that therapeutic determination based on InVision® results is equivalent to outcomes reported in clinical trials, and most importantly, unlikely to be causing patient harm (Table 7).

Implied clinical utility of Inivata™ prospective clinical validation study (NCT02906852) and 3 unpublished internal studies identified actionable alterations in patients who received FDA-approved drugs and tracked clinical outcomes (Table 7).

Table 7: Actionable Genomic Alterations Detected by InVision®:
Patients Treated with Appropriate Targeted Therapy and Remaining on Therapy at 3 Months

Prior therapy for advanced disease Genomic alteration n Number still on targeted therapy at 3 months % still on targeted therapy at 3 months
Untreated for advanced disease All  9 7/9 78%
EGFR mutation 6 5/6 83%
BRAF V600 mutation 2 1/2 50%
ALK/ROS1 fusion 1 1/1 100%
Prior cytotoxic chemotherapy for advanced disease but no targeted therapy All  21 17/19 89%
EGFR mutation 9 8/9 89%
BRAF V600 mutation 3 1/2 50%
ALK/ROS1 fusion 9 7/7 100%
Prior therapy with targeted therapy All 62 48/58 82.7%
EGFR mutation(49 with T790) 52 42/49 85.7%
ALK/ROS1 fusion 7 6/6 100%
Overall   93 72/86 83.7%

 

Professional Society Clinical Practice Guidelines
National Comprehensive Cancer Network (NCCN) clinical practice guidelines (v4.2018) for non-small cell adenocarcinoma recommend a broad molecular profile panel. NCCN recommends molecular testing in never-smokers regardless of histology or mixed histology, and in small biopsies with the goal of identifying rare driver mutations for which effective drugs may be available. Tissue profiling is recommended to include EGFR and ERBB2 point mutations and indels; BRAF mutations; ALK, ROS1, and RET rearrangements; and MET amplification and deletion/skipping of exon. The guidelines indicate that if tissue biopsy is not feasible, plasma biopsy should be considered. If plasma biopsy is negative, then repeat tissue biopsy is recommended, if feasible.36

Analysis of Evidence (Rationale for Determination)

Level of Evidence:
Quality – Moderate
Strength –Limited
Weight – Limited

The InVision® assay provides a minimally invasive methodology to detect actionable mutations with an informative test rate of 50-70% for providing valuable guidance for patient genomic profile stratification. Clinical utility has been demonstrated equivalent to tissue-based profiling outcomes. Patients are limited to 1 test assay per cancer diagnosis, unless there is clinical evidence of tumor evolution requiring additional testing for new genetic content.

Proposed Process Information

Synopsis of Changes
Changes Fields Changed
N/A
Associated Information
Sources of Information
Bibliography
Open Meetings
Meeting Date Meeting States Meeting Information
N/A
Contractor Advisory Committee (CAC) Meetings
Meeting Date Meeting States Meeting Information
N/A
MAC Meeting Information URLs
N/A
Proposed LCD Posting Date
Comment Period Start Date
Comment Period End Date
Reason for Proposed LCD
Requestor Information
This request was MAC initiated.
Requestor Name Requestor Letter
View Letter
N/A
Contact for Comments on Proposed LCD

Coding Information

Bill Type Codes

Code Description

Please accept the License to see the codes.

N/A

Revenue Codes

Code Description

Please accept the License to see the codes.

N/A

CPT/HCPCS Codes

Please accept the License to see the codes.

N/A

ICD-10-CM Codes that Support Medical Necessity

Group 1

Group 1 Paragraph:

N/A

Group 1 Codes:

N/A

N/A

ICD-10-CM Codes that DO NOT Support Medical Necessity

Group 1

Group 1 Paragraph:

N/A

Group 1 Codes:

N/A

N/A

Additional ICD-10 Information

General Information

Associated Information

N/A

Sources of Information

N/A

Bibliography
  1. Siegal RL, Miller KD, Jemal A. Cancer statistics, 2017. CA Cancer J Clin. 2017;67(1):7-30.
  2. Govindan R, Page N, Morgensztern D, et al. Changing epidemiology of small-cell lung cancer in the United States over the last 30 years: analysis of the surveillance, epidemiologic, and end results database. J Clin Oncol. 2006;24(28):4539-4544.
  3. Owonikoko TK, Ragin C, Chen Z, et al. Real-world effectiveness of systemic agents approved for advanced non-small cell lung cancer: a SEER-Medicare analysis. Oncologist. 2013;18(5):600-610.
  4. Arrieta O, Cardona AF, Martín C, et al. Updated frequency of EGFR and KRAS mutations in nonsmall-cell lung cancer in latin america: the latin-american consortium for the investigation of lung cancer (CLICaP). J Thorac Oncol. 2015;10(5):838–843.
  5. Chia PL, Mitchell P, Dobrovic A, John T. Prevalence and natural history of ALK positive non-small-cell lung cancer and the clinical impact of targeted therapy with ALK inhibitors. Clin Epidemiol. 2014;6:423-432.
  6. Planchard D, Besse B, Groen H, et al. Dabrafenib plus trametinib in patients with previously treated BRAFV600E-mutant metastatic non-small cell lung cancer: an open-label, multicentre phase 2 trial. Lancet Oncol. 2016;17(7):984–993.
  7. Li S, Choi YL, Gong Z, et al. Comprehensive characterization of oncogenic drivers in asian lung adenocarcinoma. J Thorac Oncol. 2016;11(12): 2129–2140.
  8. Dong Y, Ren W, Qi J, et al. EGFR, ALK, RET, KRAS and BRAF alterations in never-smokers with non-small cell lung cancer. Oncol Lett. 2016;11(4): 2371–2378.
  9. Caparica R, de Castro G, Gil-Bazo I, et al. BRAF mutations in non-small cell lung cancer: has finally Janus opened the door? Crit Rev Oncol/Hematol. 2016;101:32–39.
  10. Tong JH, Yeung SF, Chan A, et al. MET amplification and exon 14 splice site mutation define unique molecular subgroups of non-small cell lung carcinoma with poor prognosis. Clin Cancer Res. 2016;22(12):3048–3056.
  11. Gutierrez ME, Choi K, Lanman RB, et al. Genomic profiling of advanced non-small cell lung cancer in community settings: gaps and opportunities. Clin Lung Cancer. 2017;18(6):651-659.
  12. Thompson JC, Yee SS, Troxel AB, et al. Detection of therapeutically targetable driver and resistance mutations in lung cancer patients by next-generation sequencing of cell-free circulating tumor DNA. Clin Cancer Res. 2016;22(23):5772-5782.
  13. Piotrowska Z, Drapkin B, Engelman JA, Nagy RJ, Lanman RB, Sequist LV. Plasma T790M result alters treatment options in a previously T790 wild-type EGFR-mutant lung cancer. J Thorac Oncol. 2016;11(8):e95–e97.
  14. Hagemann IS, Devarakonda S, Lockwood CM, et al. Clinical next-generation sequencing in patients with non-small cell lung cancer. Cancer. 2015;121:631-639.
  15. Villaflor V, Won B, Nagy R, et al. Biopsy-free circulating tumor DNA assay identifies actionable mutations in lung cancer. Oncotarget. 2016;7(41):66880-66891.
  16. Thompson JC, Yee SS, Troxel AB, et al. Detection of therapeutically targetable driver and resistance mutations in lung cancer patients by next-generation sequencing of cell-free circulating tumor DNA. Clin Cancer Res. 2016;22(23):5772–5782.
  17. Dedhia P, Tarale S, Dhongde G, Khadapkar R, Das B. Evaluation of DNA extraction methods and real time PCR optimization on formalin-fixed paraffin-embedded tissues. Asian Pacific J Cancer Prev. 2007;8:55–59.
  18. Srinivasan M, Sedmak D, Jewell S. Effect of fixatives and tissue processing on the content and integrity of nucleic acids. Am J Pathol. 2002;161(6):1961–1971.
  19. Morris S, Subramanian J, Gel E, et al. Performance of next-generation sequencing on small tumor specimens and/or low tumor content samples using a commercially available platform. PLoS ONE. 2018;13(4):e0196556.
  20. OncomineTM Dx Target Test. Summary of Safety and Effectiveness Data (SSED). PMA P170019. June 22, 2017. Accessed August 24, 2021.
  21. FoundationOne CDx™. Summary of Safety and Effectiveness Data (SSED). PMA P170019. November 30, 2017. Accessed August 24, 2021.
  22. cobas® EGFR Mutation Test v2. Summary of Safety and Effectiveness Data (SSED). PMA P150044. September 28, 2016. Accessed August 24, 2021.
  23. Heerink WJ, de Bock GH, de Jonge GJ, Groen HJM, Vliegenhart R, Oudkerk M. Complication rates of CT-guided transthoracic lung biopsy: meta-analysis. Eur Radiol. 2017;27:138–148.
  24. Chudgar NP, Bucciarelli PR, Jeffries EM, et al. Results of the national lung cancer screening trial: where are we now? Thorac Surg Clin. 2015;25(2):145-153.
  25. Lim C, Tsao MS, Le LW, et al. Biomarker testing and time to treatment decision in patients with advanced nonsmall-cell Lung cancer†. Ann Oncol. 2015;26(7):1415–1421.
  26. Lokhandwala T, Bittoni MA, Dann RA, et al. Costs of diagnostic assessment for lung cancer: a medicare claims analysis. Clin Lung Cancer. 2017;18(1):pe27–e34.
  27. Forshew T, Murtaza M, Parkinson C, et al. Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA. Sci Transl Med. 2012;4(136):136ra68.
  28. Plagnol V, Woodhouse S, Howarth K, et al. Analytical validation of a next generation sequencing liquid biopsy assay for high sensitivity broad molecular profiling. PLoS ONE. 2018;13(3):e0193802.
  29. Wan JCM, Massie C, Garcia-Corbacho J, et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat Rev Cancer. 2017;17(4):223-238.
  30. The Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014;511:543-550.
  31. Coombs CC, Gillis NK, Tan X, et al. Identification of clonal hematopoiesis mutations in solid tumor patients undergoing unpaired next-generation sequencing assays. Clin Cancer Res. 2018;24(23):5918-5924.
  32. Guibert N, Hu Y, Feeney N, et al. Amplicon-based next-generation sequencing of plasma cell-free DNA for detection of driver and resistance mutations in advanced non-small cell lung cancer. Ann Oncol. 2018;29:1049-1055.
  33. Pritchett MA, Camidge DR, Patel M, et al. Prospective clinical validation of the InVisionfirst-lung circulating tumor dna assay for molecular profiling of patients with advanced nonsquamous non-small cell lung cancer. JCO Precis Oncol. 2019.
  34. Zhou J, Rajeshwari S, Theoret MR, Mishra-Kalyani PS. Time to treatment failure (TTF) as a potential clinical endpoint in real-world evidence (RWE) studies of melanoma. J Clin Oncol. 2018;36(15):abstr 9578.
  35. Mok TS, Yi-Long W, Thongprasert S, et al. Gefitinib or carboplatin-paclitaxel in pulmonary adenocarcinoma. N Engl J Med. 2009;361(10):947–957.
  36. National Comprehensive Cancer Network. Non-small cell lung cancer. Accessed August 24, 2021.

Revision History Information

Revision History Date Revision History Number Revision History Explanation Reasons for Change
11/30/2023 R6

11/30/2023 Review completed 11/08/2023 with no change in coverage.

  • Other (Review)
10/14/2021 R5

09/30/2021 Under LCD Title added trademark symbol to Inivata and registered symbol to InVisionFirst. Under CMS National Coverage Policy added regulation CMS Internet-Only Manual, Pub. 100-02, Medicare Benefit Policy Manual, Chapter 15, §80 Requirements for Diagnostic X-Ray, Diagnostic Laboratory, and Other Diagnostic Tests and §80.1.1 Certification Changes and updated descriptions to regulations. Under Bibliography changes were made to citations to reflect AMA citation guidelines and source #33 was updated to the correct citation. Formatting, punctuation, and typographical errors were corrected throughout the LCD. Acronyms were inserted and defined where appropriate throughout the LCD. Inivata™, InVision®, Oncomine™, FoundationOne®, Tam-Seq™ and InVisionFirst® were inserted throughout the LCD where applicable. Review completed 08/24/2021.

  • Other (Review)
02/25/2021 R4

02/25/2021 Review completed 01/26/2021.

  • Other (Review)
04/30/2020 R3

04/30/2020-Changed the word “primary” to “cancer” and added, “unless there is clinical evidence of tumor evolution requiring additional testing for new genetic content” to the last sentence under Analysis of Evidence (Rationale for Coverage Determination) Section. Added CMS Internet-Only Manual, Pub, 100-03 Medicare National Coverage Determinations Manual, Chapter 1, Part 2 §90.2 Next-Generation Sequencing (NGS) for Patients with Advanced Cancer to the CMS National Coverage Policy Section & added a link to Related National Coverage Documentation section. Changes made to the Bibliography citations to reflect AMA citation guidelines.

  • Provider Education/Guidance
11/01/2019 R2

Moved claims related regulations from the CMS National Section to the Billing and Coding Article. LCD moved into new template to comply with CR10901.

  • Other (Compliance with CR 10901)
04/15/2019 R1

04/01/2019-Minor formatting changes, moved the “Summary of Evidence” header, added “or” between the two bullet points under the “At progression” section. Removed duplicate coverage information.

  • Other
N/A

Associated Documents

Attachments
N/A
Related National Coverage Documents
NCDs
90.2 - Next Generation Sequencing (NGS)
Public Versions
Updated On Effective Dates Status
11/20/2023 11/30/2023 - N/A Currently in Effect You are here
09/20/2021 10/14/2021 - 11/29/2023 Superseded View
Some older versions have been archived. Please visit the MCD Archive Site to retrieve them.

Keywords

N/A

Read the LCD Disclaimer