To the Editor:
We congratulate the authors for publishing the important article “Management of Lung Nodules and Lung Cancer Screening During the COVID-19 Pandemic: CHEST Expert Panel Report” in a recent issue of CHEST (July 2020).1 Such guidance is important during this time of social distancing, with a need to limit non-urgent procedures and imaging to reduce the risk of exposure to contagion for patients and providers. This is also a time for wider use of telemedicine, which can provide rapid access to specialists who can remotely provide medical decision guidance.
For newly discovered lung nodules with an intermediate probability of malignancy (probability of cancer [pCA], 5%-65%), blood-based molecular biomarkers may be able to refine the estimated probability of malignancy in a manner that impacts clinical decisions. An autoantibody (AAb) test that measures blood levels of seven autoantibodies to lung cancer-related antigens has a 98% specificity and 78% positive predictive value with a high positive result.2 , 3 A positive AAb test result (moderate or high) may move a patient’s intermediate risk nodule into the American College of Chest Physicians (CHEST) high-risk category (>65% pCA), similar to cases outlined in Expert Panel Scenario 10 or 11. When used in the proper subset of patients, this may increase the posttest pCA and identify patients who could benefit from earlier intervention.
When a negative autoantibody test is not informative, and reports “no elevated AAb,” the integrated classifier (IC) biomarker, a blood-based proteomic test, with high negative predictive value, is available. The clinical validation study of the IC, PANOPTIC, evaluated intermediate-risk nodules with a pCA of 50% or less and cancer prevalence of 16%. In this subgroup, the IC test has a sensitivity of 97% and negative predictive value of 98%.4 Use of this test could have led to a 40% relative reduction in procedures performed on benign nodules with a false-negative rate of 3%.
Clinical utility studies have been initiated to further evaluate the IC biomarker. Favorable results will show an increase in CT surveillance, reduction of procedures on benign nodules, and an acceptable false-negative rate. A change, redistribution of patients, from CHEST pretest intermediate risk to a posttest low risk (<5% pCA) will be the first indication of the test effect. The first look at redistribution is shown in Figure 1 , and reported in a recent abstract.5 The comparison of IC clinical validation data and registry study data show similar increases in the number of patients with a posttest risk of cancer of less than 5%, where the CHEST guidelines advise active surveillance.
Figure 1.
Pretest and posttest distributions using the integrated classifier in selected lung nodules. Shown is the probability of cancer (pCA) pretest and posttest values from two studies. A, from the clinical validation study with 8-30 mm nodules with a physician and SPN pCA pretest of ≤50% along with no cancer history within 5 years. B, data from the registry trial with the same selection criteria. The dashed lines within the plots indicate the median values, and the dotted line indicates the 5% pCA level. The corresponding numbers and percentages that fall below the 5% pCA line are shown at the bottom of the figure.
The use of molecular biomarkers and telemedicine can assist with nodule management during the COVID-19 pandemic.
Footnotes
FINANCIAL/NONFINANCIAL DISCLOSURES: The authors have reported to CHEST the following: S. C. S. is an employee and stockholder of Biodesix, Inc. J. J. is a consultant for Biodesix, Inc. K. B. has received consulting and speaking payments from Biodesix. None declared (F. K., A. M.).
References
- 1.Mazzone P.J., Gould M.K., Arenberg D.A., et al. Management of lung nodules and lung cancer screening during the COVID-19 pandemic: CHEST expert panel report. Chest. 2020;158(1):406–415. doi: 10.1016/j.chest.2020.04.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Massion P.P., Healey G.F., Peek L.J., et al. Autoantibody signature enhances the positive predictive power of computed tomography and nodule-based risk models for detection of lung cancer. J Thorac Oncol. 2017;12(3):578–584. doi: 10.1016/j.jtho.2016.08.143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Healey G.F., Macdonald I.K., Reynolds C., et al. Tumor-associated autoantibodies: re-optimization of early CDT-lung diagnostic performance and its application to indeterminate pulmonary nodules. J Cancer Ther. 2017;8:506–517. [Google Scholar]
- 4.Silvestri G.A., Tanner N.T., Kearney P., et al. Assessment of plasma proteomics biomarker’s ability to distinguish benign from malignant lung nodules: results of the PANOPTIC (pulmonary nodule plasma proteomic classifier) trial. Chest. 2018;154(3):491–500. doi: 10.1016/j.chest.2018.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pritchett M., Sigal B.W., Bowling M.R., et al. First look at the distribution of risk of malignancy pre and post-test using a blood-based biomarker in patients with pulmonary nodules in a real-world observational study. AJRCCM. 2020;201:A4465. [Google Scholar]

