Abstract
Granulomas caused by infectious lung diseases present as indeterminate pulmonary nodules (IPNs) on radiography. Newly available serum enzyme immunoassay (EIA) for histoplasmosis has not been studied for the evaluation of IPNs. We investigated serum biomarkers of histoplasmosis antibodies as an indication of benign disease in IPNs from a highly endemic region.
A total of 152 serum samples from patients presenting with pulmonary nodules ≤30 mm in maximum diameter were analyzed for histoplasmosis antibodies by immunodiffusion and EIA IgG and IgM tests. Serology and FDG-PET/CT scan diagnostic test characteristics were estimated and compared.
Cancer prevalence was 55% (n = 83). Thirty-nine (26%) individuals were positive for IgG histoplasmosis antibodies. Twelve samples were IgM antibody positive. Immunodiffusion serology was similar to IgM antibody results with 13 positive tests. Diagnostic likelihood ratios for benign disease were 0.62, 0.33, and 0.28 for FDG-PET/CT, IgG, and IgM antibodies, respectively. When both IgG and IgM were positive (n = 8), no nodules were cancerous and six were FDG-PET/CT avid.
A positive EIA test for both IgM and IgG strongly suggested histoplasmosis etiology and benign granuloma for 12% of benign nodules arising from a highly endemic region. Presence of either IgG or IgM histoplasma antibodies was associated with benign disease. The EIA test was more sensitive in assessing histoplasma exposure than immunodiffusion serology.
A new CLIA-certified histoplasmosis antibody EIA test measures histoplasmosis exposure, offers a possible alternative clinical diagnosis for benign IPNs, and may improve IPN evaluation while avoiding harmful invasive biopsies.
Introduction
Evaluation and diagnosis of incidental pulmonary nodules (IPNs) is a growing burden for clinicians as chest imaging proliferates and the use of low-dose CT screening for lung cancer increases (1, 2). Evaluation of IPNs is further complicated in regions where endemic mycotic diseases (histoplasmosis, blastomycosis, and coccidioidomycosis) induce lung granulomas. A study of CT scans among patients from the histoplasmosis endemic Ohio and Mississippi River Valleys demonstrated three times the false-positive rate compared with nonendemic areas (3). In such endemic regions, granulomatous disease is the most common benign etiology, occurring in 50% to 75% of pathologically determined benign diagnoses (4, 5).
After discovery of an IPN, guidelines suggest 18F-fluorodeoxyglucose positron emission tomography with computed tomography (FDG-PET/CT) may be indicated for moderate risk nodules (6), but we have shown that FDG-PET/CT specificity is markedly reduced in areas of endemic mycotic diseases due to benign granulomas (4) that generate false-positive results (7, 8). Granulomas, masquerading as insipient lung cancer, confound diagnostic imaging, including guideline-recommended FDG-PET/CT scans (8). In this environment, aggressive pursuit of pathologic diagnosis is often warranted, putting patients at higher risk due to complications from a lung biopsy (9).
A noninvasive biomarker of fungal exposure, which indicates possible benign disease and not malignancy, would aid clinicians evaluating IPNs arising from endemic areas. By classifying a group of nodules as having serologically detectable histoplasmosis exposure, clinicians would have an alternative approach to differentiating benign from malignant disease and, in combination, improve nodule evaluation over imaging alone. Biomarkers of infectious fungal exposure, measured by serologic tests, are not well studied in the diagnosis of granulomatous lung nodules (10, 11), and current evaluation guidelines for IPNs suspicious for lung cancer do not recommend serologic testing to indicate infectious etiologies due to their poor sensitivity (6, 12).
A newly available serum enzyme immunoassay (EIA) test, which is considered more sensitive than existing immunodiffusion or complement fixation for histoplasmosis diagnosis has not been evaluated in patients with nodules (13). In this pilot study, we systematically investigated the performance of standard immunodiffusion and a new EIA assay for histoplasmosis exposure measurement and compared them to FDG-PET/CT scans for the diagnosis of lung cancer among IPNs arising in a region where histoplasmosis is highly endemic (>80%; ref. 14).
Materials and Methods
Population and outcome diagnosis
Serum was collected from 162 patients with an IPN (Fig. 1) whose maximum diameter by CT scan was ≤30 mm and who had a FDG-PET/CT scan prior to diagnosis. Nodules were discovered from routine practice or referred to Vanderbilt University Medical Center, a tertiary referral research hospital in Nashville, Tennessee. All samples were prospectively collected between 2006 and 2015 and were frozen and stored in the Vanderbilt Thoracic Biorepository. Patient informed consent was collected under Vanderbilt University Medical Center's IRB (#000616). This study was approved by the Vanderbilt Institutional Review Board and conducted in accordance with the U.S. Common Rule. Individuals with metastatic lung cancer, lack of original FDG-PET/CT scan, or indeterminate nodule size were excluded. Final diagnosis was determined by either tissue pathology or radiographic evidence of benign disease (absence of growth over two years or development of clearly benign characteristics, such as dense calcification or spontaneous resolution).
Serologic testing
Frozen serum was shipped to MiraVista Diagnostics which performed all serologic tests. Each participant was tested for histoplasmosis separately by immunodiffusion and by MiraVista's proprietary EIA for immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies. Methodology for performing EIA testing has been reported elsewhere (13, 15, 16). Results for EIA-derived IgG and IgM antibodies and immunodiffusion antibodies were reported each separately and for EIA in combination as criteria for positive antibody results. EIA results were standardized to enzyme immunoassay antibody units (EU). EU values between 10 and 80 indicated a positive EIA test for the respective histoplasmosis antibody. These cutoffs were based on the manufacturer's recommended test's indication for acute infectious disease detection. Positive results above the quantification limit of 80 EU were analyzed as 80 EU for purposes of this study. Results less than 9.9 EU, including indeterminate results between 8 and 9.9, were interpreted as negative for histoplasmosis. Immunodiffusion was performed according to the manufacturer's instructions using commercially available reagents (Meridian Biosciences). Immunodiffusion results were reported as either positive, negative, or nondiagnostic and as a continuous antibody measurement. The analytic laboratory was blinded to all patient data.
FDG-PET/CT
FDG-PET/CT scans were performed as standard of practice in the clinical setting at both Vanderbilt University Medical Center (Nashville, TN) and in the community. Original FDG-PET/CT scans were reviewed by a physician (R.C. Walker) board certified in diagnostic radiology and in nuclear medicine who was blinded to diagnosis and clinical history. Standard uptake value (SUV) was measured on a commercial PET/CT workstation (Advanced Workstation 3.2, GE Medical System). Avidity and likelihood for malignancy were determined by either SUV greater than 2.5 or clinical judgment based on appearance on the CT portion of the PET/CT.
Statistical analysis
Sensitivity, specificity, positive (PPV), and negative predictive values (NPV), negative diagnostic likelihood ratios, and their 95% confidence intervals (CIs) were estimated. EIA serologies, both for individual antibodies and as a combined antibody test indicating a positive histoplasmosis result, were compared with FDG-PET/CT scans and the Mayo Clinic Model estimated baseline malignancy risk for each participant (17). To determine the impact of the histoplasmosis serologic tests on the diagnosis of cancer, diagnostic likelihood ratios were estimated. A positive serologic result was converted to a negative diagnostic likelihood ratio, because a positive histoplasmosis serology test indicates benign disease and not cancer. When comparing likelihood ratios with 0 values in their respective 2 × 2 Table, 0.5 was added to each cell to calculate a ratio estimate. Comparative differences in demographics by cancer outcome were estimated by the appropriate statistical test given for the variable type (continuous, dichotomous, or categorical), for example, t test for the normally distributed continuous variable of age. All analyses were performed with Stata v 14.2 and P values <0.05 were considered statistically significant.
Results
We collected serum from 162 individuals with lung nodules ≤30 mm. Ten nodules were excluded in the analysis, as three had no documented size and seven were missing the original FDG-PET/CT scan for review, resulting in 152 nodules available for comparison across all test modalities (Fig. 1). Excluded nodules were equally distributed between malignancy (n = 5) and benign (n = 5) disease. Cancer prevalence among the 152 individuals was 55% (n = 83). Benign nodules occurred more often (Table 1) in younger individuals (P = 0.002) who were never smokers (P < 0.001), with nonspiculated nodule edge (P < 0.001), and with lower maximum SUV (P < 0.001). The mean Mayo Clinic Model estimated cancer risk was significantly higher (P < 0.001) among malignant nodules (50%) compared with benign nodules (33%). FDG-PET/CT scans had a sensitivity of 76% (95% CI, 65–85), specificity of 39% (95% CI, 28–52) with a negative diagnostic likelihood ratio of 0.62 (95% CI, 0.38–1.00; Fig. 2), and NPV of 57% (95% CI, 42–72). The majority of patients with cancer had adenocarcinoma (n = 45; 54% of cancers). Granuloma (n = 40; 58% of benign disease) was the most common benign disease, comprising 75% of the 53 nodules with pathologically determined benign disease in this population primarily from middle Tennessee.
. | Cancer (n = 83) . | Benign (n = 69) . | Overall (n = 152) . | P . |
---|---|---|---|---|
Mean age (SD) | 65 (8.8) | 60 (12) | 63 (10.7) | 0.002 |
Gender, male (%) | 61 (73) | 27 (39) | 88 (42) | <0.001 |
Race (%) | ||||
Caucasian | 71 (86) | 65 (94) | 136 (89) | |
African American | 12 (14) | 2 (3) | 14 (9) | |
Other | 0 (0) | 2 (3) | 2 (1) | 0.01 |
Ever smoker (%) | 95 | 74 | 86 | <0.001 |
Mean nodule size, mm (SD) | 17.5 (6.4) | 16.1 (5.5) | 16.8 (6.1) | 0.15 |
Spiculated nodule edge (%) | 28 (34) | 14 (20) | 42 (28) | 0.07 |
Mean Mayo risk probability (SD)a | 50 (26) | 33 (23) | 42 (26) | <0.001 |
Mean FDG-PET/CT SUV (SD) | 5.8 (4.3) | 3.2 (1.9) | 4.6 (3.7) | <0.001 |
Avid nodules by FDG-PET/CTb | 63 | 42 | 105 | 0.05 |
. | Cancer (n = 83) . | Benign (n = 69) . | Overall (n = 152) . | P . |
---|---|---|---|---|
Mean age (SD) | 65 (8.8) | 60 (12) | 63 (10.7) | 0.002 |
Gender, male (%) | 61 (73) | 27 (39) | 88 (42) | <0.001 |
Race (%) | ||||
Caucasian | 71 (86) | 65 (94) | 136 (89) | |
African American | 12 (14) | 2 (3) | 14 (9) | |
Other | 0 (0) | 2 (3) | 2 (1) | 0.01 |
Ever smoker (%) | 95 | 74 | 86 | <0.001 |
Mean nodule size, mm (SD) | 17.5 (6.4) | 16.1 (5.5) | 16.8 (6.1) | 0.15 |
Spiculated nodule edge (%) | 28 (34) | 14 (20) | 42 (28) | 0.07 |
Mean Mayo risk probability (SD)a | 50 (26) | 33 (23) | 42 (26) | <0.001 |
Mean FDG-PET/CT SUV (SD) | 5.8 (4.3) | 3.2 (1.9) | 4.6 (3.7) | <0.001 |
Avid nodules by FDG-PET/CTb | 63 | 42 | 105 | 0.05 |
aMayo risk probability estimated according to Swensen and colleagues (14).
bAvid FDG = PET/CT scan based on either SUV ≥ 2.5 or radiologist's report of avidity.
Histoplasma serologies
A positive EIA antibody test for the diagnosis of histoplasmosis by either IgM or IgG positivity occurred in 43 (28%) participants. Thirty-nine (26%) individuals were IgG positive and 12 (8%) were IgM positive. Of those with a positive EIA histoplasmosis result, 14 nodules were malignant and 29 benign. Among 40 pathologically ascertained granulomas, 17 (42.5%) tested positive for either IgG or IgM antibodies. A positive EIA test for histoplasmosis by either IgG or IgM was more sensitive (42%; 95% CI, 30–55) but less specific (83%; 95% CI, 73–91) than that of either IgG (sensitivity 41%, specificity 87%) or IgM (sensitivity 13%, specificity 96%) separately (Table 2). Serologic results were obtained for the 10 excluded nodules. One was IgG positive (a cancer), one was both IgG and IgM positive (a benign nodule), and the remaining eight were negative for histoplasmosis antibodies.
. | Immunodiffusion (95% CI) . | IgG Antibody (95% CI) . | IgM Antibody (95% CI) . | IgG or IgM (95% CI) . | IgG + IgM (95% CI) . |
---|---|---|---|---|---|
Sensitivity | 13 (6–23) | 41 (29–53) | 13 (6–23) | 42 (30–55) | 12 (5–22) |
Specificity | 95 (88–99) | 87 (78–93) | 96 (90–99) | 83 (73–91) | 100 (96–100) |
PPV | 69 (39–91) | 72 (55–85) | 75 (43–95) | 67 (52–81) | 100 (63–100) |
NPV | 57 (48–65) | 64 (54–73) | 57 (49–66) | 63 (54–72) | 58 (49–66) |
Positive test | 13 | 39 | 12 | 43 | 8 |
. | Immunodiffusion (95% CI) . | IgG Antibody (95% CI) . | IgM Antibody (95% CI) . | IgG or IgM (95% CI) . | IgG + IgM (95% CI) . |
---|---|---|---|---|---|
Sensitivity | 13 (6–23) | 41 (29–53) | 13 (6–23) | 42 (30–55) | 12 (5–22) |
Specificity | 95 (88–99) | 87 (78–93) | 96 (90–99) | 83 (73–91) | 100 (96–100) |
PPV | 69 (39–91) | 72 (55–85) | 75 (43–95) | 67 (52–81) | 100 (63–100) |
NPV | 57 (48–65) | 64 (54–73) | 57 (49–66) | 63 (54–72) | 58 (49–66) |
Positive test | 13 | 39 | 12 | 43 | 8 |
All patients with both IgG and IgM histoplasmosis antibody positivity had benign disease. Of the eight benign nodules with both IgG and IgM antibodies detected by EIA, four were ascertained as granulomatous disease by pathology, and four were ascertained as benign by radiographic surveillance. Six of the eight (75%) were FDG-PET/CT avid (false positive for malignancy), whereas a ninth individual (granuloma) did not have an available FDG-PET/CT scan to include for comparison (see Supplementary Figures and Tables). Thirteen samples (9%) were positive for histoplasmosis by immunodiffusion (four cancer, nine benign; sensitivity = 13%; 95% CI, 6–23; specificity = 95%; 95% CI, 88–99).
Comparison of FDG-PET and histoplasmosis serology testing to rule out cancer
The NPV for FDG-PET/CT scans to exclude malignancy was 57% (95% CI, 42–72) in this population of smaller diameter IPNs. The PPV for EIA antibodies to indicate benign disease separately and thus find negative for malignancy was 72% (95% CI, 55–85) for IgG and 75% (95% CI, 43–95) for IgM. A positive immunodiffusion test indicating exposure to histoplasma had a predictive value of 69% (95% CI, 39–91) for histoplasmosis with wide CIs (Table 2) due to the relative rarity of a positive test (9%). A negative serology test for histoplasma antibodies offered little diagnostic information (NPV for no histoplasma exposure IgG = 64%, IgM = 57%, either antibody = 63% and immunodiffusion = 57%).
To determine the clinical impact of each test, we estimated the potential posttest reduction in cancer risk using the negative diagnostic likelihood ratio and converting it into a posttest probability given the pretest baseline cancer risk (e.g., prevalence of cancer). We directly compared the results for each of the tests. FDG-PET/CT had a negative diagnostic likelihood ratio of 0.62 and was weaker than any individual or combination of serologic tests at differentiating benign disease (Point A, Fig. 2; Table 3). A negative PET scan in this population reduced the posttest cancer risk by 12 percentage points from 55% to 43% (Point A, Fig. 2). The diagnostic likelihood ratio for the EIA test was 0.40 (95% CI, 0.23–0.70) when either IgG or IgM antibodies were detected for histoplasmosis (negative for cancer). The negative diagnostic likelihood ratio was 0.33 (95% CI, 0.18–0.61) for IgG antibodies and 0.28 (95% CI, 0.08–0.98) for IgM antibodies each separately. When a positive IgG test occurred, the posttest probability of cancer fell from 55% to 29% (Point C, Fig. 2). The negative diagnostic likelihood ratio for immunodiffusion was 0.37 (95% CI, 0.12–1.15), which offered little diagnostic information as the 95% CI included 1. The negative likelihood ratio for the EIA test result when both IgG and IgM were positive was 0.05 (95% CI, 0.003–0.83), which occurred in 8 individuals. Therefore, when both IgG and IgM were positive for histoplasmosis, the posttest probability of cancer dropped from 55% to 6% (Point E, Fig. 2).
Test . | DLR negative for cancer . | Number of positive tests . | Posttest cancer probability reductionb . |
---|---|---|---|
FDG-PET/CTa | 0.62 (0.38–1.00) | 47 | 12% |
Immunodiffusion | 0.37 (0.12–1.15) | 13 | 24% |
EIA IgG | 0.33 (0.18–0.61) | 39 | 26% |
EIA IgM | 0.28 (0.08–0.98) | 12 | 25% |
EIA IgG and IgM | 0.05 (0.003–0.83) | 8 | 49% |
Test . | DLR negative for cancer . | Number of positive tests . | Posttest cancer probability reductionb . |
---|---|---|---|
FDG-PET/CTa | 0.62 (0.38–1.00) | 47 | 12% |
Immunodiffusion | 0.37 (0.12–1.15) | 13 | 24% |
EIA IgG | 0.33 (0.18–0.61) | 39 | 26% |
EIA IgM | 0.28 (0.08–0.98) | 12 | 25% |
EIA IgG and IgM | 0.05 (0.003–0.83) | 8 | 49% |
aNon-avid FDG-PET/CT scans are negative DLR and serology results are positive for histoplasmosis but reported as inverted to a negative DLR, negative for cancer.
bChange in posttest probability of cancer is the baseline population prevalence of cancer (55%), minus the posttest probability of cancer given a negative FDG-PET/CT scan or serologic test positive for histoplasmosis and expressed as percentage points.
Discussion
In this pilot study population of both known and suspected lung cancer with serum available from our Thoracic Biorepository, we compared a new, more sensitive EIA histoplasmosis test to the long available immunodiffusion test and FDG-PET/CT's metabolic diagnostic imaging. FDG-PET/CT performed poorly in this cohort of smaller lesions with a sensitivity of 76% and specificity of 39%. The lower sensitivity observed was likely related to the majority (n = 111) of nodules being 20 mm or less in maximum diameter, as smaller nodule size is a known factor in PET's reduced sensitivity (8). Some of the reduction in FDG-PET/CT specificity could be attributable to verification or “work-up” bias in this high cancer prevalence population. Here, verification bias for FDG-PET/CT may occur in those nodules with a pathologic diagnosis as the pursuit of tissue pathology is dependent, in part, on the PET results. Therefore, we are more likely to observe higher sensitivity and more false-positive results (18). Cohorts with lower prevalence of cancer or less pathologically determined diagnosis may have a higher specificity than observed here (8). However, radiographic surveillance, which was the diagnostic method for 16 (11%) nodules, was an option for all nodules. A negative PET scan, with its diagnostic likelihood ratio of 0.62 reduced the posttest diagnostic cancer risk estimate by only 12 percentage points from 55% to 43% (Fig. 2). This poor PET performance replicates previous work published from the same region and illustrates the difficulty clinicians face in evaluating lesions arising from endemic areas (5, 19).
A positive serology test by any of IgG, IgM, or immunodiffusion tests had similar negative diagnostic likelihood ratios, between 0.28 and 0.37. The best combination of sensitivity to histoplasmosis fungal exposure and PPV (72%) occurred when IgG antibody was positive. IgG antibodies were detected in 43% of benign nodules. If we considered a baseline pretest risk estimate equal to the study's 55% prevalence of malignancy, then a positive IgG serology test for histoplasmosis antibodies, with its negative diagnostic likelihood for cancer of 0.33, reduced the posttest risk estimate for malignancy to 29% (Fig. 2). A positive immunodiffusion test occurred in 13% of benign diagnoses, making it an inferior diagnostic test compared with EIA. The lack of detectable antibodies for immunodiffusion and low sensitivity of immunodiffusion tests when evaluating lung nodules has been stated in histoplasmosis infectious disease literature as a prime reason to not use the immunodiffusion test for the diagnosis of lung nodules (20).
Testing of IPNs with histoplasmosis serology by complement fixation or immunodiffusion is not currently recommended. First, due to small burden of residual disease, antigen testing is not useful to discriminate histoplasmosis-related granulomas from malignancy, as the test is universally negative and not performed in clinical practice (20). The immunodiffusion assay detects both short-lived H antibodies and longer-lived M antibodies for fungal species. Immunodiffusion is indicated for both acute and chronic or past fungal infections (21, 22). Granulomas from fungal exposure may arise from minor exposures years or decades prior to radiographic nodule detection and well outside the time period when M antibodies are detectable, and thus is not recommended for IPN evaluation (23).
Few studies have examined serologic tests for the diagnosis of benign lung disease. Dall Bello found that 5% of their confirmed histoplasmosis cases originally presented as lung nodules suspicious for cancer (24). Richmond and colleagues (11), in a case series of large (>3 cm) granulomas, found little evidence of histoplasmosis by immunodiffusion or complement fixation serology. In stark contrast to Richmond and colleagues' results, Naeem and colleagues (10) reported high accuracy for serology to diagnose benign disease of hilar adenopathy for malignancy. They found that a positive histoplasmosis complement fixation test had a specificity of 100% and a sensitivity of 61% for benign disease in a pediatric population (n = 131) with lymphadenopathy, whose primary cancer histology was lymphoma and benign disease was granuloma. Because of limitations in serum availability in this study, we were unable to perform complement fixation with its larger sample volume requirement and contraindication of sample stability in frozen, stored serum, a limitation of our study.
In our study, 40% of granulomas were positive for IgG antibodies, a 2.5-fold increase in disease detection compared with immunodiffusion in the same population. The strength of EIA to detect histoplasmosis exposures in IPNs, as illustrated by a positive result in over a quarter of all lung nodules and in 43% of benign IPNs, may be unique to the Middle Tennessee population. Edwards and colleagues found that Nashville and its immediately surrounding countries were among the highest histoplasmosis skin test positivity rates (91%) in the United States (14). However, a positive result for one of the histoplasmosis antibodies, indicating exposure to histoplasmosis, did not exclude the diagnosis of malignancy. We based our cutoff for malignancy on the current level of 10EU for acute disease. Other cutoffs specific to lung nodules may improve the EIA test's characteristics as we found an improvement in area under the receiver operator curve when EIA results were modeled as a continuous variable (Supplementary Fig. 1). As this is a pilot study of existing samples from our biorepository, more samples will be necessary from both endemic and nonendemic areas to better assess test cutoffs and validate our observations. We will be pursuing this line of investigation in a larger cohort of nodules as this study's small number of participants limits the generalizability and strength of the results.
Clinically, the EIA test, although intended for infectious histoplasmosis diagnosis, may be adapted to evaluate lung nodules. A positive IgG result likely indicates histoplasmosis fungal exposure and 72% of positive EIA tests with IgG antibodies are benign, which may suggest the clinician obtain additional CT scans at an appropriate 3- or 6-month interval instead of pursuing a tissue diagnosis. However, because 11 patients with cancer had EIA IgG antibody positive tests (13% of cancers and 7% of all nodules), reliance on the more sensitive IgG antibody indication alone to exclude cancer in an IPN may not be clinically defensible with its PPV of 72%. Conversely, in the small set of patients where both IgG and IgM antibodies were found in serum, the addition of IgM antibodies precluded cancer and always indicated a nodule with benign etiology and possibly an active histoplasmosis infection. A positive EIA test for both antibodies, found in 5% of the entire nodule population and in 12% of benign nodules, greatly increased the specificity of the test and strongly supported an alternative diagnosis of active histoplasmosis. Conversely, a negative test offered little clinical information.
A positive histoplasmosis EIA test may preclude the need for the more expensive PET imaging as 75% of nodules that had both IgG- and IgM-detected antibodies were also FDG-PET/CT avid false-positive scans. The complex interplay of an EIA histoplasmosis test with the patient's underlying cancer epidemiologic risks, likely endemic exposures, and imaging offers the possibility of improving the noninvasive evaluation of a particularly difficult population with IPNs arising from endemic mycotic areas of the United States. The pursuit of an alternative diagnostic pathway with serology begs further evaluation of the histoplasmosis EIA test beyond this small study, and how it may be positioned in the diagnosis of lung nodules.
Conclusion
A positive EIA serologic test for histoplasmosis provides clinicians with useful information of histoplasmosis exposure and possible benign disease in IPNs. Serologically significant histoplasmosis exposures may be a new biomarker for benign granuloma. When both IgG and IgM antibodies are present, active histoplasmosis, and not lung cancer, should be considered. The histoplasmosis EIA serum test offers an alternative, noninvasive diagnosis of possibly active infection in 12% of benign nodules arising from a highly endemic area of the country. Furthermore, investigations of incorporating EIA serology with existing imaging and other cancer biomarkers for IPNs that may have a histoplasmosis etiology is warranted.
Disclosure of Potential Conflicts of Interest
M.M. Durkin is a research manager at MiraVista Diagnostics. L.J. Wheat is the President of MiraVista Diagnostics. No potential conflicts of interest were disclosedby the other authors.
Authors' Contributions
Conception and design: S.A. Deppen, P.P. Massion, R.C. Walker
Development of methodology: S.A. Deppen, J. Blume
Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): P.P. Massion, R.C. Walker, S. Antic, H. Chen, M.M. Durkin, L.J. Wheat
Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): S.A. Deppen, J. Blume, E.L. Grogan
Writing, review, and/or revision of the manuscript: S.A. Deppen, P.P. Massion, J. Blume, R.C. Walker, S. Antic, H. Chen, M.M. Durkin, L.J. Wheat
Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): S.A. Deppen, S. Antic, H. Chen, L.J. Wheat
Study supervision: S.A. Deppen
Acknowledgments
This work was funded by EDRN (U01 CA152662, to P.P. Massion and E.L. Grogan). E. Grogan's research time was also supported by the Veterans Affairs Hospital and he is the past recipient of a VA Career Development Award (10-024).
The authors acknowledge all the participants in the VUMC Thoracic Biorepository, without whom this research would not be possible.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.