mp-428 - mp-428 - Medical Policies
Systems Pathology in Prostate Cancer
Policy Number: MP-428
Latest Review Date: August 2019
Policy Grade: Effective January 28, 2016: Active Policy but no longer scheduled for regular literature reviews and updates.
Description of Procedure or Service:
Systems pathology, an approach that combines cellular and biologic features to standard clinical parameters such as age, clinical or pathologic stage, grade, percent of cancer on biopsy cores, and prostate-specific antigen (PSA) or its derivatives, is proposed as a way to estimate the probability of disease progression, either prior to or following prostatectomy.
Predicting risk of recurrence in patients undergoing treatment for prostate cancer is difficult, as it is for most malignancies. Over time, risk models for patients with prostate cancer have evolved from early efforts that relied on grade, stage, and prostate-specific antigen (PSA) levels to complex multivariate models. A publication in 2008 indicates that there are more than 65 published, externally validated prostate cancer nomograms and other tools that use standard clinical parameters such as age, clinical or pathologic stage, grade, percent of cancer on biopsy cores, and PSA or its derivatives to predict various clinical and pathologic outcomes.
Recent studies have begun to study a different approach by adding both cellular and biologic features to the clinical and pathological information noted above. This approach has been called “systems pathology.”
Aureon Laboratories offered two pathology tests called the Prostate Px+™ test and the Post-Op Px™ test (formerly called Prostate Px). Prostate Px+ was described as useful at diagnosis to patients considering surgery (radical prostatectomy) or other treatment options by providing physicians with objective information regarding the probability of disease progression. Post-Op Px estimated risk of PSA recurrence and disease progression after surgery. In October 2011, the company ceased operations and the tests are no longer offered.
Use of tests utilizing systems pathology that include cellular and biologic features of a tumor are considered not medically necessary and investigational, including use in predicting risk of recurrence in patients with prostate cancer.
The policy was updated with a literature review through February 2010 and updated through November 12, 2015.
Assessment of a diagnostic test, including tests that are used to predict clinical risk, typically focuses on three parameters: 1) technical performance; 2) diagnostic performance (sensitivity, specificity, and positive and negative predictive value) in appropriate populations of patients; and 3) demonstration that the diagnostic information can be used to improve patient outcomes (clinical utility).
Technical performance for such testing may compare test measurements with a gold standard and may also compare results taken on different occasions (test-retest).
Diagnostic performance is evaluated by the ability of a test to accurately predict the clinical outcome. The sensitivity of a test is the ability to detect a disease (determine an outcome) when the condition is present (true-positive), while the specificity is the ability to detect the absence of a disease or outcome when the disease is not present (true-negative).
A key aspect in evaluating clinical test performance is evidence related to improvement of clinical outcomes with use of this testing, that is, evidence that assesses the link between use of a test to changes in health outcomes (clinical utility). In a clinical area such as prostate cancer in which multiple tools to predict risk already exist; a new test must demonstrate that any improvement in predictive accuracy results in meaningful changes in therapy and leads to improved outcomes. In many cases, comparative trials are needed to demonstrate the impact of testing on net health outcome.
A total of 219 (32%) of these patients received standard androgen ablation with or without salvage radiotherapy. These treatments were done at the discretion of the treating physician for the cohort of patients in this analysis. Using clinical failure within eight years as the outcome, the model had a sensitivity of 78% and specificity of 69% in the derivation set. The six variables in this model were as follows: preoperative PSA, dominant biopsy Gleason Grade, biopsy Gleason Score, and three systems pathology variables (androgen receptor, distance between epithelial tumor cells, and tumor epithelial cell area). Patients from another (the fifth) institution were used for the validation set. In the validation set of 341 patients, the sensitivity was 76% and specificity 64%. There were 44 clinical failures (four with positive bone scan and 40 with increasing PSA in a castrate state). This study also found that increased androgen receptor in biopsy tumor cells predicted resistance to therapy. The authors concluded that the additional systems pathology data add to the value of prediction rules used to assess outcome at diagnosis. The authors also comment that the nature of this study has the potential for bias. In an attempt to reduce this bias and to perform a more robust validation study, they are investigating access to samples from randomized, clinical trials (RCTs).
A 2014 update of the 2012 Moul et al study reanalyzed the prognostic value of a ProsVue result 2.0 pg/mL/mo or less and risk as stratified by a nomogram called the Cancer of the Prostate Risk Assessment Postsurgical (CAPRA-S) nomogram, for a reduced risk of prostate cancer-specific survival. The authors also assessed its value for predicting clinical outcome in men who received salvage treatment for biochemical recurrence. Median overall survival for men with a ProsVue slope of 2.0 or less and greater than 2.0 pg/mL/mo was 11.0 years (95% CI, 9.4 to 12.9) and 9.2 years (95% CI, 4.9 to 11.6), respectively. ProsVue univariate hazard ratio (95% CI) for prostate cancer-specific survival was 20.6 (6.8-62.7), with p<0.000 for a ProsVue result greater than 2.0 pg/mL/mo versus a result 2.0 pg/mL/mo or less. ProsVue multivariate hazard ratio adjusted by CAPRA-S nomogram was 16.7 [4.7-58.6]; p<0.000. Based on 18 events, salvage treatment for biochemical recurrence did not significantly reduce the hazard of clinical recurrence or prostate cancer-specific mortality.
In 2014, Moul et al reported on the prospective enrollment of men treated by radical prostatectomy into a multicenter trial to assess the clinical utility of ProsVue PSA slope results. At post-surgical follow-up, men were stratified into low-, intermediate-, or high-risk groups for cancer recurrence based on clinicopathologic findings and other findings. Three serial serum samples for ProsVue testing were collected. Investigators recorded whether their initial treatment plan was changed after the ProsVue result was reported. Of 225 men, 128 (57%) were stratified into intermediate- and high-risk groups. Investigators reported that they would have referred 41/128 (32%) of these men for secondary treatment but that after the ProsVue result was reported, they referred 15/128 (12%) of these men.
It is unknown whether the NADiA ProsVue after radical prostatectomy results in improved health outcomes, and there is no evidence to demonstrate incremental predictive value over other variables such as Gleason score or independent PSA levels.
Systems pathology, an approach that combines cellular and biological features to standard clinical parameters such as age, clinical or pathologic stage, grade, percent of cancer on biopsy cores, and prostate-specific antigen (PSA) or its derivatives, is proposed as a way to estimate the probability of disease progression or recurrence, either prior to or following prostatectomy.
Studies are needed to determine which patients may benefit from this testing, as well as to determine when in the course of diagnosis and treatment the systems pathology assessment should be performed. There also should be further discussion about which outcomes are the best to be used in developing models; there can be substantial differences in models that predict PSA recurrence from those that predict metastatic disease and those that predict death. In addition, models may be needed that evaluate risk following treatments other than radical prostatectomy.
The value of using the systems pathology approach to determine risk is not known based on currently available studies. Thus, the impact on clinical outcomes is not known and the clinical utility of this testing is not known. Therefore, this testing is considered investigational.
Practice Guidelines and Position Statements
The National Comprehensive Cancer Network guidelines on Prostate Cancer Early Detection and Prostate Cancer V2.2015 do not address systems pathology.
U.S. Preventive Services Task Force Recommendations
Prostate Cancer, Progression Prediction, Predicting Recurrence Risk, Systems Pathology, Quantitative Nuclear Morphometry, Prostate, Aureon, Post-op Px, Prostate Px, Prostate Px+, Nadia ProsVue
Approved by Governing Bodies:
Iris International offers the NADiA® ProsVue™ test which received FDA 510(k) clearance in 2011. The NADiA ProsVue test evaluates risk of prostate cancer recurrence after radical prostatectomy when PSA levels are less than 0.1 ng/ml. The NADiA immunoassay, polymerase chain reaction test is used to determine PSA levels on three serum samples taken between six weeks and 20 months after radical prostatectomy. The PSA data is entered into the ProsVue software to ensure appropriate serum sample use and calculation of assay results and to determine the rate of PSA change, the PSA slope.
Coverage is subject to member’s specific benefits. Group specific policy will supersede this policy when applicable.
ITS: Home Policy provisions apply
FEP: Special benefits may apply. Refer to member’s benefit plan. FEP does not consider investigational if FDA approved and will be reviewed for medical necessity.
There is no specific CPT code for this test. Various combinations of the following codes may be used to report this testing:
|88323||Consultation and report on referred material requiring preparation of slides|
|88346||Immunofluorescence, per specimen; initial single antibody stain procedure (Effective 01/01/2016)|
|88350||each additional single antibody stain procedure (List separately in addition to code for primary procedure) (Effective 01/01/2016)|
|88399||Unlisted, surgical pathology procedure|
The company stated at the time that the unlisted code was used to represent “the complex integrated data capture, image analysis and advanced supervised statistical modeling technologies necessary to perform this test.”
It is possible that code 99090, analysis of clinical data stored in computers (e.g., electrocardiograms [ECGs], blood pressures, hematologic data), may be used instead of the unlisted code.
Immunofluorescent study, each antibody; indirect method (Deleted effective 01/01/2016)74
- Cordon-Cardo C, Kotsianti A, Verbel DA, et al. Improved prediction of prostate cancer recurrence through systems pathology. J Clin Invest 2007; 117(7):1876-83.
- Donovan MJ, Hamann S, Clayton M, et al. Systems pathology approach for the prediction of prostate cancer progression after radical prostatectomy. J Clin Oncol 2008; 26(24):3923-9.
- Donovan MJ, Khan FM, Bayer-Zubek V et al. A systems-based modelling approach using transurethral resection of the prostate (TURP) specimens yielded incremental prognostic significance to Gleason when predicting long-term outcome in men with localized prostate cancer. BJU Int 2012; 109(2):207-13.
- Donovan MJ, Khan FM, Fernandez G, et al. Personalized prediction of tumor response and cancer progression on prostate needle biopsy. J Urol 2009; 182(1):125-32.
- Donovan MJ, Khan FM, Powell D et al. Postoperative systems models more accurately predict risk of significant disease progression than standard risk groups and a 10-year postoperative nomogram: potential impact on the receipt of adjuvant therapy after surgery. BJU Int 2012; 109(1):40-5.
- Donovan MJ, Osman I, Khan FM. Androgen receptor expression is associated with prostate cancer-specific survival in castrate patients with metastatic disease. BJU Int 2010; 105(4):462-7.
- Eggener SE, Vickers AJ, Serio AM, et al. Comparison of models to predict clinical failure after radical prostatectomy. Cancer 2009; 115(2):303-10.
- Klein EA, Stephenson AJ, Raghavan D, et al. Systems pathology and predicting outcome after radical prostatectomy. J Clin Oncol 2008; 26(24):3916-7.
- Moul JW, Chen DY, Trabulsi EJ, et al. Impact of NADiA ProsVue PSA slope on secondary treatment decisions after radical prostatectomy. Prostate Cancer Prostatic Dis. Sep 2014;17(3):280-285.
- Moul JW, Lilja H, Semmes OJ et al. NADiA ProsVue prostate-specific antigen slope is an independent prognostic marker for identifying men at reduced risk of clinical recurrence of prostate cancer after radical prostatectomy. Urology 2012; 80(6):1319-25.
- Moul JW, Sarno MJ, McDermed JE, et al. NADiA ProsVue prostate-specific antigen slope, CAPRA-S, and prostate cancer--specific survival after radical prostatectomy. Urology. Dec 2014;84(6):1427-1432.
- Shariat SF, Karakiewicz PI, Margulis V, et al. Inventory of prostate cancer predictive tools. Curr Opin Urol 2008; 18(3):279-96.
- Veltri RW, Miller MC, Isharwal S, et al. Prediction of prostate-specific antigen recurrence in men with long-term follow-up postprostatectomy using quantitative nuclear morphometry. Cancer Epidemiol Biomarkers Prev 2008; 17(1):102-10.
Medical Policy Group, April 2010 (3)
Medical Policy Administration Committee May 2010
Available for comment May 7-June 21, 2010
Medical Policy Group, August 2011 (1): Update to Key Points and References; No changes to intent of policy statement (“uses” changed to “include” to improve clarity)
Medical Policy Group, December 2011 (1): 2012 Code Updates – verbiage change to code 88313
Medical Policy Group, June 2012 (3): New FDA approved Drug-Nadia ProsVue; Updated Description, Key Words, and Approved by Governing Bodies
Medical Policy Panel, March 2013
Medical Policy Group, April 2013 (3): 2013 Updates to Key Points & References; no change in policy statement
Medical Policy Panel, March 2014
Medical Policy Group, March 2014 (1): Update to Description, Key Points and References; change to Title with removal of “for predicting risk of recurrence”; no change to policy statement
Medical Policy Panel, March 2015
Medical Policy Group, March 2015 (3): Updates to Key Points and References. No change to policy statement.
Medical Policy Group, November 2015: 2016 Annual Coding Update. Added CPT code 88345 and new CPT code 88350 to the current coding section. Created a new previous coding section and moved CPT code 88347 from current coding to previous coding.
Medical Policy Panel, January 2016
Medical Policy Group, January 2016 (3): Updates to Key Points. No change to policy statement. Effective January 28, 2016: Active policy but no longer scheduled for regular updates.
Medical Policy Panel, August 2019
Medical Policy Group, August 2019 (9): Updates to Key Points. No change to policy statement. Reviewed by consensus. No new published peer-reviewed literature available that would alter the coverage statement in this policy.
This medical policy is not an authorization, certification, explanation of benefits, or a contract. Eligibility and benefits are determined on a case-by-case basis according to the terms of the member’s plan in effect as of the date services are rendered. All medical policies are based on (i) research of current medical literature and (ii) review of common medical practices in the treatment and diagnosis of disease as of the date hereof. Physicians and other providers are solely responsible for all aspects of medical care and treatment, including the type, quality, and levels of care and treatment.
This policy is intended to be used for adjudication of claims (including pre-admission certification, pre-determinations, and pre-procedure review) in Blue Cross and Blue Shield’s administration of plan contracts.
The plan does not approve or deny procedures, services, testing, or equipment for our members. Our decisions concern coverage only. The decision of whether or not to have a certain test, treatment or procedure is one made between the physician and his/her patient. The plan administers benefits based on the member’s contract and corporate medical policies. Physicians should always exercise their best medical judgment in providing the care they feel is most appropriate for their patients. Needed care should not be delayed or refused because of a coverage determination.
As a general rule, benefits are payable under health plans only in cases of medical necessity and only if services or supplies are not investigational, provided the customer group contracts have such coverage.
The following Association Technology Evaluation Criteria must be met for a service/supply to be considered for coverage:
1. The technology must have final approval from the appropriate government regulatory bodies;
2. The scientific evidence must permit conclusions concerning the effect of the technology on health outcomes;
3. The technology must improve the net health outcome;
4. The technology must be as beneficial as any established alternatives;
5. The improvement must be attainable outside the investigational setting.
Medical Necessity means that health care services (e.g., procedures, treatments, supplies, devices, equipment, facilities or drugs) that a physician, exercising prudent clinical judgment, would provide to a patient for the purpose of preventing, evaluating, diagnosing or treating an illness, injury or disease or its symptoms, and that are:
1. In accordance with generally accepted standards of medical practice; and
2. Clinically appropriate in terms of type, frequency, extent, site and duration and considered effective for the patient’s illness, injury or disease; and
3. Not primarily for the convenience of the patient, physician or other health care provider; and
4. Not more costly than an alternative service or sequence of services at least as likely to produce equivalent therapeutic or diagnostic results as to the diagnosis or treatment of that patient’s illness, injury or disease.