**Non-Small Cell Lung Cancer (NSCLC)  **

****Indications and Limitations of Coverage****

Genomic Sequential Analysis Panel will be considered reasonable and necessary
in the evaluation of tumor tissue in the following clinical circumstances:

  * Newly diagnosed patients with advanced (stage IIIB or IV) NSCLC, who are not treatable by resection or radiation with curative intent, and who are suitable candidates for therapy at the time of testing.  
  

  * Previously diagnosed patients with advanced (stage IIIB or IV) NSCLC, who have not responded to at least one systemic therapy, or who have progressed following resection. The patient must be a candidate for treatment at the time of the testing.  
  

  * Previously diagnosed patients with advanced (stage IIIB or IV) NSCLC, who have been resistant to at least one targeted therapy, are able to undergo tumor tissue biopsy for testing, and who are suitable candidates for additional treatment at the time of testing. 

**Metastatic Colorectal Cancer (mCRC)**

**Indications and Limitations of Coverage**

Genomic Sequential Analysis Panel will be considered reasonable and necessary
when the test is performed in a CLIA-certified laboratory qualified to perform
high complexity testing, ordered by a treating physician, and the patient has:

  1. metastatic CRC; and
  2. is a candidate for intensive chemotherapy with an anti-EGFR biologic agent; and
  3. has not had prior RAS/BRAF testing (except after initiation of anti-EGFR therapy with evidence of acquired resistance).

**_Next-Generation Sequence (NGS) Comprehensive Genomic Profile (CGP)
Testing_**

**Indications and Limitations of Coverage**

This policy section describes coverage of NGS CGP diagnostic testing for
patients with advanced cancer as allowable by a Medicare Administrative
Contractor (MAC) under the National Coverage Determination (NCD) 90.2 (1). The
policy scope is specific to solid tumors and exclusive of hematologic
malignancies (the subject of separate LCD L37606), circulating tumor DNA
testing (ctDNA), and other cancer-related uses of NGS, such as germline
testing.

CGP is a NGS approach that uses a single assay to assess hundreds of genes
including relevant cancer biomarkers, with solid evidentiary support for
clinical utility in guidelines and clinical trials. CGP assays include not
only individual genetic variants (single nucleotide variants (SNVs),
insertions/deletions (INDELs), copy number alterations (CNAs), structural
variants (SVs), and splice-site variants), but also patterns of mutations such
as DNA mismatch repair deficiency (dMMR), microsatellite instability (MSI),
and total mutational burden (TMB). CGP testing may also include RNA sequencing
to detect structural rearrangements, such as fusions/translocations and
functional splicing mutations.

CGP NGS testing for patients with advanced cancer is reasonable and necessary
only when performed in a CLIA-certified laboratory, when ordered by a treating
physician, and when the patient has:

  * either recurrent, relapsed, refractory, metastatic, or advanced stages III or IV cancer; and
  * not been previously tested with a CGP for the same cancer genetic content; and
  * decided to seek further cancer treatment (e.g., therapeutic chemotherapy)

Additionally, the test performed must be able to detect at least the minimum
genes and genomic positions required for the identification of clinically
supported, FDA-approved therapies. The genes and genomic positions required
are listed in Category 1 or 2A of the most current version of the National
Comprehensive Cancer Network (NCCN) Biomarkers Compendium (2). Testing assays
must be FDA approved/cleared, or if a laboratory developed test (LDT), have a
published, peer-reviewed study supporting analytic validity, or certification
by a third-party consistent with the New York State Department of Health's
Clinical Laboratory Evaluation Program (CLEP) review standards.

**Non-Small Cell Lung Cancer (NSCLC)  **

The American Cancer Society estimates that over 220,000 new cases of lung
cancer will be diagnosed in 2015, with over 85% of those cancers being
classified as non-small cell lung cancer. Lung cancer represents approximately
13% of all new cancer diagnoses, and approximately 27% of cancer deaths. The
estimated 5yr survival rate for all lung cancer patients is 17% and is only 4%
for patients with metastatic disease.  
  
Most lung cancers are epithelial in origin, with squamous cell carcinomas,
adenocarcinomas, and small cell carcinomas being the predominant histologic
types. The first two, squamous and adenocarcinomas, have been traditionally
grouped as non-small cell lung cancer (NSCLC). Surgery remains the cornerstone
of treatment for early stage NSCLC of either type, however treatment of
advanced stage disease is based primarily on drugs. Distinctive response
patterns to specific therapeutic drugs have been demonstrated over the past 12
years, necessitating the distinction between squamous cell and adenocarcinoma
morphology. Consequently, the most recent WHO guidelines advocate sub-
classification of all NSCLC in to a more specific subtype whenever possible.
This is typically accomplished by histologic evaluation with support from
specific immunohistochemical studies, which are particularly useful in the
evaluation of small biopsies.  
  
Adenocarcinomas account for approximately 40% of all lung cancers, and are the
most common lung cancer in never- or light smokers. Adenocarcinomas are
characterized by glandular differentiation, mucin production, or pneumocyte
marker expression. Certain genomic alterations are more commonly found in lung
adenocarcinomas (when compared to squamous or small cell carcinomas) and
clinical laboratory testing to identify these alterations is important in two
respects: First, some mutations are now recognized as "driver mutations,"
which are essential for tumor cell survival. Inhibition of these mutated
proteins results in tumor cell death, making them attractive therapeutic
targets. While not all driver mutations have specific therapies at this time,
an important corollary of this concept is that with rare exception, such
driver mutations are mutually exclusive, i.e. the identification of one driver
mutation in a tumor effectively makes the likelihood that another driver
mutation is present extremely unlikely.  
  
The second reason clinical laboratory testing for specific driver mutations in
lung adenocarcinomas is important is the association of specific genomic
alterations with response to specific drugs. Different driver mutations
respond to different targeted therapies, and only genetic testing can clearly
identify which mutation is present and, therefore, which treatment should be
administered. While some of the genetic alterations that affect response to
targeted inhibitors are found in a higher proportion of adenocarcinomas from
patients with certain clinical risk factors (i.e., low to no history of
tobacco exposure, female gender, young age, Asian ethnicity) , these clinical
associations are not sufficiently predictive of mutation status to
appropriately determine therapy without genetic testing. Accordingly,
professional practice guidelines from CAP-IASLC-AMP, WHO, and NCCN all advise
against using smoking history, or other clinical risk factors, to exclude
testing patients for specific genomic alterations.  
  
NCCN Guidelines (v 7.2015) for Non-Small Cell Lung Cancer recommend testing
all non-squamous NSCLCs (i.e. adenocarcinomas, large cell carcinomas, and
NSCLC not otherwise specified) for specific alterations in EGFR and ALK and
recommend consideration of such testing in tumors with mixed squamous and
adeno histology, and in the rare squamous cell carcinomas in never smokers.
The NCCN NSCLC Panel "strongly endorses broader molecular profiling to
identify rare driver mutations using multiplex/NGS to ensure that patients
receive the most appropriate treatment". In addition to testing for
alterations in EGFR and ALK, NCCN Guidelines explicitly recognize the
prognostic and predictive value of KRAS mutations as well as alterations in
the BRAF, MET, and ROS1 genes to select a therapeutic agent, the use of which
may be "off-label" but which also meets Medicare coverage requirements for
off-label cancer drugs (CMS Publication Pub 100-02, _Medicare Benefit Policy
Manual_ , Chapter 15, 50.4.5).  
  
Genomic alterations contribute to the development of non-small cell lung
carcinoma. Two of the best studied alterations are EGFR mutations and ALK
(e.g., EML4-ALK) gene fusions. EGFR mutations are permissive for the use of
oral EGFR inhibitors, such as erlotinib. Similarly, activating fusions of ALK
permit treatment with oral ALK inhibitors, such as crizotinib. Gene
alterations for which a targeted therapeutic agent is available and the use of
which meets Medicare coverage requirements (outside of a clinical trial) are
listed in Table 1.  
  
Table 1

**Gene** | **NCCN Category 1 or 2A Recommended Therapeutic Option**  
---|---  
ALK | crizotinib, ceritinib, and alectinib  
EGFR | afatinib, erlotinib hydrochloride, and gefitinib  
ROS 1 | crizotinib  
KRAS | Avoid TKI  
BRAF | dabrafenib and vemurafib  
MET | crizotinib  
  


**Metastatic Colorectal Cancer (mCRC)**

Despite improvements in mortality secondary to advances in screening and
treatment over the last several decades, CRC is the second leading cause of
cancer deaths in the US, with about 50,000 deaths per year, 8% of all cancer
deaths (1,2). Approximately 50-60% of patients with CRC develop metastases
(usually metachronous, but synchronous in 20-34%), with 80-90% unresectable
metastatic liver disease. Twenty percent present with metastatic disease.
Today, the median overall survival (OS) for patients with mCRC is
approximately 30 months, more than double that of 20 years ago (3).

The level of understanding of the molecular events underlying CRC is far
greater than for other common solid tumors. Sporadic disease, in which there
is no family history, accounts for approximately 70% of all CRCs (4). Specific
germline mutations are responsible for the inherited CRC syndromes, while a
stepwise accumulation of somatic mutations is thought to underlie most
sporadic cases.

RAS and BRAF Mutations

The activation of the epidermal growth factor receptor (EGFR) signaling
cascade is a well-described pathway leading to colon tumorigenesis. The
receptor for EGFR is overexpressed in 49-82% of CRC. Cetuximab and panitumumab
are monoclonal antibodies directed against EGFR that inhibit downstream
signaling pathways, but are only effective in about 10-20% of CRC. Mutations
within the RAS and BRAF oncogenes located downstream of EGFR within this
pathway lead to its constitutive activation, even if the EGFR is blocked.

KRAS exon 2-4 and NRAS exon 2-4 mutations (RAS mutations) are found in about
50% of mCRC and exclude affected patients from EGFR-directed therapy (5,6).
There is good concordance between the primary and synchronous distant
metastases (but not lymph node metastases) (7). Besides their negative
predictive value, RAS mutations have been independently associated with a
worse prognosis in most studies (5,8). Some studies suggest that EGFR
inhibition may even be detrimental in patients with RAS-mutant mCRC (9).

Activating BRAF mutations (mostly V600E), mutually exclusive from KRAS
mutations, are found in approximately 5-10% of mCRCs, and are associated with
poor overall prognosis (10). Evidence increasingly suggests that response to
EGFR-targeted agents is unlikely in BRAF V600E patients, even if RAS wild type
(11,12).

The most recent TNM staging classification considers RAS and BRAF V600E
mutations to have both prognostic (level 1 evidence) and predictive (level 1
evidence) significance (2). In a Provisional Clinical Opinion (PLO), the
American Society of Clinical Oncology (ASCO) recommended that all patients who
are candidates for anti-EGFR therapy should have their tumor tested for
mutations in both KRAS and NRAS exons 2 (codons 12 and 13), 3 (codons 59 and
61), and 4 (codons 117 and 146) (13). Because anti-EGFR agents have no role in
the management of stage I-III disease, this genotyping is reserved for
metastatic disease.

Mismatch Repair Deficiency (dMMR)

MMR genes are responsible for correcting the ubiquitous nucleotide base
mispairings and small insertions or deletions that occur during DNA
replication. Cells that are MMR-deficient accumulate DNA errors throughout the
genome (14). The dMMR genetic signature is a high number of DNA replication
errors (RER+) and high levels of DNA microsatellite instability (MSI-H),
defined as expansion or contraction in 30 percent of microsatellite loci;
microsatellites are short sequences of nucleotide bases that are repeated
dozens to hundreds of times within the genome.

The gold standard for assessment of MSI has been concurrent analysis of
patient tumor and normal DNA for five mononucleotide microsatellite loci with
polymerase chain reaction (PCR) (15). The standard for detecting MMR protein
expression status has been immunohistochemistry (IHC) for MLH1, MSH2, PMS2,
and MSH6 expression. MMR can also be measured by total mutational burden (TMB)
via next generation sequencing (NGS). In sporadic tumors, epigenetic changes
(acquired hypermethylation of the promoters of both alleles of MLH1 gene),
rather than gene mutations, usually account for defective MMR gene expression
(20,21).

MSI-H tumors are associated with longer survival in both Lynch syndrome and
sporadic CRC, for unclear reasons (4). However, the prognostic influence of
MSI is less clear in patients with metastatic CRC, a population in which the
prevalence of MSI-H disease is only 3.5% (16). Emerging data have shown MMR
status to predict the clinical benefit of immune checkpoint blockade with
pembrolizumab in patients with mCRC (17, 22, 23).



**_Next-Generation Sequence (NGS) Comprehensive Genomic Profile (CGP)
Testing_**

The pace of discovery in the fields of immunology and cancer biology is
rapidly accelerating as understanding the role of the immune system in tumor
initiation, progression, and metastasis evolves. Momentum is shifting away
from sequential analyte testing toward adoption of ever larger NGS panels,
capable of evaluating for all classes of potentially actionable genomic
alterations across hundreds of genes simultaneously. Factors include
decreasing cost, proliferation of actionable biomarkers, need to detect
smaller amounts of DNA variants, FDA approval of tumor-type agnostic
predictive biomarkers, and most recently, so-called "pan-mutational signature"
biomarkers that, almost by definition, require panels that include hundreds of
genes, if not whole exome sequencing (WES). Pan-tumor biomarkers make CGP
testing not just a more time, specimen, and cost-effective approach, but
necessary from an analytic validity standpoint.

The advent of immune checkpoint inhibitors (ICIs) targeting programmed cell
death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) proteins has
recently emerged as a pillar of cancer care. ICI immunotherapy, however, can
induce unique immune-related side effects and, in a subset of patients,
trigger accelerated disease progression, termed hyperprogression (3). Given
this variability, determining a proper biomarker to select patients for ICI
therapy has become increasingly important. In 2017, the FDA approved the ICI
pembrolizumab (anti-PD-1) for treatment of unresectable or metastatic tumors
from any tumor histology that exhibits MSI/dMMR, resulting in a hypermutator
phenotype, marking the first tumor-type agnostic predictive biomarker approval
(4,5). While traditionally measured using conventional, non-NGS methods (IHI,
PCR), NGS CGP may detect a larger number of microsatellites with improved
detection of MSI-H across different tumor types, as data have demonstrated
that the variation in length of microsatellites is tissue specific (6).

TMB has become of increasing interest as another potential ICI immunotherapy
biomarker. TMB refers to the total number of nonsynonymous mutations per
megabase in the exon coding region of the gene being evaluated in the tumor
cell genome. The basis for this approach is the idea that high TMB (TMB-H)
leads to more antigenic peptides and enhanced immunogenicity. TMB is
theoretically a more direct measure of tumor rejection potential than MSI
assays, which detect the presence of microsatellite alterations and do not
quantify the mutations themselves. In fact, MSI-H may be associated with
immunotherapy response largely because it results in high TMB (7). The most
compelling data on the predictive capacity of TMB in the response to ICI
immunotherapy come from the multicenter open-label phase II KEYNOTE-158 study,
which established a link between TMB-H status (as determined by the
FoundationOne CDx assay) and overall response rate with pembrolizumab (8). In
June 2020, largely based on these results, the FDA granted accelerated
approval to pembrolizumab for the treatment of patients with any unresectable
or metastatic TMB-H [ 10 mutations/megabase (mut/Mb)] solid tumor by an FDA
approved assay, who have progressed on prior therapy and have no alternative
treatment options (9).

As it was based on a relatively small single-arm study, the tumor agnostic
nature of the pembrolizumab approval has generated considerable debate within
the oncology community (3,7,10). While TMB estimated from NGS panels has
generally correlated with TMB determined by WES (11), a host of questions
related to analytic and clinical validity remains. TMB (a continuous variable)
values and thresholds were developed independently in each tumor type, and
likely differ across tumor types (12) and platforms (11). As a result, no
consistent pan-cancer testing approach has been validated (6). For example,
each panel may include different numbers and types of genes, use different
sequencing platforms, have different methods of filtering germline mutations,
incorporate different mutation types in the quantification of TMB, and use
proprietary bioinformatics protocols to calculate TMB (11). Indeed, NCCN
states: "there is no consensus on how to measure TMB" (13). Regarding clinical
validity, the optimal TMB-H cut-off may vary among cancer types; TMB-H cancers
that lack correlation between neoantigen load and CD8 T-cell infiltration may
even demonstrate a worse response rate to ICIs (14). The conflicting data
highlight the TMB-H tumor type dependency, and caution is needed when
extrapolating the FDA labelling to all tumor types (6). Some go further,
noting that: "TMB has yet to show reproducibility for a specific ICI or tumor.
For these reasons, it is our opinion that FDA tumor-agnostic approval of
pembrolizumab when TMB is  10, showing no significant correlation for overall
survival at the tumor level is flawed" (3). This problem is being actively
addressed by The Friends of Cancer Research TMB harmonization project, which
is endeavoring "to establish a uniform approach to measure and report TMB
across different sequencing panels by harmonizing the definition of TMB,
proposing best practices for analytic validation studies, and ensuring
consistency of TMB calculation through alignment with a universal reference
standard" (11).

Gene fusion is another emerging area exerting pressure for NGS CGP testing,
beginning with neutrotrophic tyrosine receptor kinase (NTRK) fusion-positive
cancers for TRK inhibitor therapy. Two of these agents (larotrectinib,
entrectinib) are approved for treatment of TRK fusion-positive refractory
solid tumors, regardless of the site of disease origin, "without a known
acquired resistance mutation, that are either metastatic or where surgical
resection is likely to result in severe morbidity, and who have no
satisfactory alternative treatments or whose cancer has progressed following
treatment" (15,16). The presence of a TRK fusion defines a new tissue-agnostic
diagnostic category for solid tumors (17). Given the rarity of NTRK gene
fusions in most cancers, assays that evaluate exclusively for the presence of
NTRK gene fusions are impractical in most cases (17). NGS CGP testing allows
the assessment of NTRK1/2/3 gene fusions in conjunction with other tumor-
agnostic biomarkers as well as any relevant tumor-specific biomarkers.
Although NGS sequencing of either DNA or RNA can detect NTRK gene fusions,
multiple technical considerations make RNA-based methods superior.

Other biomarkers best measured using NGS CGP include other fusion genes (ALK,
ROS1, RET), and the splicing mutation MET exon 14 skipping variants (METex14)
(13). NGS-based testing is the primary method for detection of METex14
skipping events, with RNA-based NGS demonstrating improvement in detection
(13).

**Non-Small Cell Lung Cancer (NSCLC)  **

In total, there are over 40 single nucleotide or small insertion/deletion
variants occurring at numerous specific loci in ten genes. These variants
represent potential therapeutic targets and, as therapeutic agents aimed at
these targets are proven safe and effective and meet Medicare coverage
guidelines, additional genes may be added to the above table. In addition,
gene fusions can involve five different genes, and amplification is the
significant recognized alteration in at least one gene.

**Metastatic Colorectal Cancer (mCRC)**

The genetic factors with strong evidence for clinical decision-making (both
prognostic and predictive of chemotherapy efficacy) are BRAF and RAS mutations
along with MMR status (2). Guidelines from NCCN, the European Society for
Medical Oncology (ESMO), as well as a combined guideline from the American
Society for Clinical Pathology (ASCP), College of American Pathologists (CAP),
Association for Molecular Pathology (AMP), and ASCO consider the following
molecular genetic biomarkers necessary for diagnosis and management of mCRC
(1,3,18,19). Testing is not necessary for mCRC patients being considered for
palliative or hospice care only (19). Re-testing may be indicated after
initiation of anti-EGFR treatment if resistance develops (24-26).



**Gene Test**

|

**Clinical Utility**

|

**NCCN Category**  
  
---|---|---  
  
Extended RAS Testing

|

Prognostic and predictive of anti-EGFR efficacy

|

2A  
  
      KRAS/NRAS exon 2, codons 12/13

|

Prognostic and predictive of anti-EGFR efficacy

|

2A  
  
      KRAS/NRAS exon 3, codons 59/61

|

Prognostic and predictive of anti-EGFR efficacy

|

2A  
  
      KRAS/NRAS exon 4, codons 117/146

|

Prognostic and predictive of anti-EGFR efficacy

|

2A  
  
BRAF (V600E)

|

Prognostic and predictive of anti-EGFR efficacy

|

2A  
  
MSI

|

Prognostic stratifications and risk for Lynch syndrome

|

2A  
  


**_Next-Generation Sequence (NGS) Comprehensive Genomic Profile
(CGP)Testing_**

****

The Association for Molecular Pathology (AMP) and the College of American
Pathologists (CAP) published guidelines for validating NGS-based oncology
panels and bioinformatics pipelines (18,19), and with the American Society of
Clinical Oncology (ASCO), guidelines for interpreting somatic variants (20).
Other societal guidelines suggest the use of NGS over other methods for lung
cancer (21,22), colorectal cancer (22-24), and melanoma, thyroid, and ovarian
cancers, among others (22,25-29).

Nevertheless, the analytic and clinical validation of pan-tumor markers, the
only absolute NGS CGP raison d'etre, remain problematic. Current evidence
fails to support the use of TMB-H as a biomarker for ICI treatment in all
tumor types, particularly with a universal one-size fits all cut-off of 10
mut/Mb. "Future studies should focus both on improving cancer type-specific
assessment of TMB from targeted sequencing and cancer type-specific activity
of ICIs in TMB-H tumors before broad clinical implementation" (14). In fact,
limitations to precision medicine's impact, involving the widespread
assumption of clinical utility for wholesale genetic testing, is coming under
new scrutiny (31-34). Others claim limitations are related to insufficient
implementation (30).

Pan-tumor biomarker considerations aside, NGS CGP testing in advanced cancer
is arguably increasingly medically necessary from both a time-effectiveness
and specimen-sparing perspective. While only TMB absolutely mandates this
methodology, it may confer some benefit for MSI/dMMR and fusion detection over
more traditional approaches. NGS CGP testing may especially benefit the 25% of
patients with rare cancer types, those with no effective alternative treatment
options, and underserved minority populations with less access to tumor
molecular profiling or off-label therapies (7,35). Given the abundant (if
conflicting) literature, and widespread societal support for NGS CGP testing
in advanced cancer, National Government Services reservedly deems such testing
appropriate for advanced somatic cancers, consistent with CMS NCD 90.2 (1). We
echo calls for caution, given the evolving nature of these tests, and look
forward to better standards along the lines of the Friends of Cancer Research
TMB harmonization project.