- Pulmonary Disease
- Solitary Pulmonary Nodule
- Lung Cancer Screening
- Lung Cancer
- Intensive Care of the Medical Patient
Member, Canary Center at Stanford for Cancer Early Detection (2016 - Present)
Co-Director, Lung Stanford Nodule Assessment Program (Lung-SNAP) (2013 - Present)
Assistant Director, Lung Cancer Screening Program, Stanford (2014 - Present)
Honors & Awards
PET-FDG uptake, gene expression and outcome in stage I resected lung adenocarcinoma, The CHEST Foundation, Clinical Research Award (07/09-07/10)
An analysis of early-stage NSCLC transcriptomics across varying FDG uptake levels on PET imaging, Lung Cancer Research Foundation (11/10-11/11)
In vivo and in vitro diagnostics for assessing the lung nodule, LUNGevity Foundation Career Development Award (07/12-07/15)
Loan Repayment Program "In vivo and In vitro diagnostics to improve lung cancer care", NIH NCI (10/13-10/15)
Corr. of High-Res Imaging of Regional Lung Vent. by Single Energy CT with SPECT Vent. Images, Stanford Bio-X IIP Seed Grant (2015)
Mobile Lung Cancer Screening Care For the Underserved, Genentech Research Award (04/16 - 03/17)
Boards, Advisory Committees, Professional Organizations
Member, American Thoracic Society (ATS) (2008 - Present)
Member, American Association for Cancer Research (2011 - Present)
Member, International Association for the Study of Lung Cancer (2015 - Present)
Member, Education Committee, ATS (2016 - Present)
Member, Thoracic Oncology Assembly Program Committee, ATS (2017 - Present)
Member, Thoracic Oncology Assembly Planning Committee, ATS (2017 - Present)
Residency:Santa Clara Valley Medical Center Radiology Residency (2007) CA
Fellowship:Stanford University Division of PCCM (2010) CA
Medical Education:Ohio State University (2004) OH
Board Certification: Critical Care Medicine, American Board of Internal Medicine (2010)
Bachelor of Arts, University of Pennsylvania, Chemistry (1998)
Masters of Science, Stanford University, Clinical Epidemiology (2011)
Board Certification: Internal Medicine, American Board of Internal Medicine (2007)
Board Certification: Pulmonary Disease, American Board of Internal Medicine (2009)
Board Certification, Critical Care Medicine, American Board of Internal Medicine (2010)
Current Research and Scholarly Interests
I currently hold a faculty appointment in the Division of Pulmonary & Critical Care Medicine, the Department of Radiology and the Canary Center for Cancer Early Detection at Stanford University School of Medicine where I lead clinical programs in lung nodule evaluation and lung cancer screening. My research focuses on (1) integrating clinical imaging and non-invasive biomarkers to develop new, improved diagnostic models for personalizing medicine (2) understanding the current limitations of “omics” and biomarker studies in clinical practice and (3) identifying and reducing health disparities for patients at risk for lung cancer.
Patient and primary care provider attitudes and adherence towards lung cancer screening at an academic medical center.
Preventive medicine reports
2017; 6: 17-22
Low dose CT (LDCT) for lung cancer screening is an evidence-based, guideline recommended, and Medicare approved test but uptake requires further study. We therefore conducted patient and provider surveys to elucidate factors associated with utilization. Patients referred for LDCT at an academic medical center were questioned about their attitudes, knowledge, and beliefs on lung cancer screening. Adherent patients were defined as those who met screening eligibility criteria and completed a LDCT. Referring primary care providers within this same medical system were surveyed in parallel about their practice patterns, attitudes, knowledge and beliefs about screening. Eighty patients responded (36%), 48 of whom were adherent. Among responders, non-Hispanic patients (p = 0.04) were more adherent. Adherent respondents believed that CT technology is accurate and early detection is useful, and they trusted their providers. A majority of non-adherent patients (79%) self-reported an intention to obtain a LDCT in the future. Of 36 of 87 (41%) responding providers, only 31% knew the correct lung cancer screening eligibility criteria, which led to a 37% inappropriate referral rate from 2013 to 2015. Yet, 75% had initiated lung cancer screening discussions, 64% thought screening was at least moderately effective, and 82% were interested in learning more of the 33 providers responding to these questions. Overall, patients were motivated and providers engaged to screen for lung cancer by LDCT. Non-adherent patient "procrastinators" were motivated to undergo screening in the future. Additional follow through on non-adherence may enhance screening uptake, and raising awareness for screening eligibility through provider education may reduce inappropriate referrals.
View details for DOI 10.1016/j.pmedr.2017.01.012
View details for PubMedID 28210538
View details for PubMedCentralID PMC5304233
Pulmonary function after lung tumor stereotactic ablative radiotherapy depends on regional ventilation within irradiated lung.
Radiotherapy and oncology
2017; 123 (2): 270-275
To determine if regional ventilation within irradiated lung volume predicts change in pulmonary function test (PFT) measurements after stereotactic ablative radiotherapy (SABR) of lung tumors.We retrospectively identified 27 patients treated from 2007 to 2014 at our institution who received: (1) SABR without prior thoracic radiation; (2) pre-treatment 4-dimensional computed tomography (4-D CT) imaging; (3) pre- and post-SABR PFTs <15months from treatment. We defined the ventilation ratio (VR20BED3) as the quotient of mean ventilation (mean Jacobian-based per-voxel volume change on deformably registered inhale/exhale 4-D CT phases) within the 20Gy biologically effective dose (α/β=3Gy) isodose volume and that of the total lung volume (TLV).Most patients had moderate to very severe COPD by GOLD criteria (n=19, 70.1%). Higher VR20BED3 significantly predicted worse change in Forced Expiratory Volume/s normalized by baseline value (ΔFEV1/FEV1pre, p=0.04); n=7 had VR20BED3>1 (high regional ventilation) and worse ΔFEV1/FEV1pre (median=-0.16, range=-0.230 to -0.20). Five had VR20BED3<1 (low regional ventilation) and improved ΔFEV1/FEV1pre (median=0.13, range=0.07 to 0.20). In a multivariable linear model, increasing VR20BED3 and time to post-SABR PFT predicted decreasing ΔFEV1/FEV1pre (R(2)=0.25, p=0.03).After SABR to high versus low functioning lung regions, we found worsened or improved global pulmonary function, respectively. If pre-SABR VR20BED3 is validated as a predictor of eventual post-SABR PFT in larger studies, it may be used for individualized treatment planning to preserve or even improve pulmonary function after SABR.
View details for DOI 10.1016/j.radonc.2017.03.021
View details for PubMedID 28460826
Multigene profiling of single circulating tumor cells.
Molecular & cellular oncology
2017; 4 (2)
Numerous techniques for isolating circulating tumor cells (CTCs) have been developed. Concurrently, single-cell techniques that can reveal molecular components of CTCs have become widely available. We discuss how the combination of isolation and multigene profiling of single CTCs in our platform can facilitate eventual translation to the clinic.
View details for DOI 10.1080/23723556.2017.1289295
View details for PubMedID 28401190
View details for PubMedCentralID PMC5383366
Evaluating Molecular Biomarkers for the Early Detection of Lung Cancer: When Is a Biomarker Ready for Clinical Use? An Official American Thoracic Society Policy Statement.
American journal of respiratory and critical care medicine
2017; 196 (7): e15–e29
Molecular biomarkers have the potential to improve the current state of early lung cancer detection. The goal of this project was to develop a policy statement that provides guidance about the level of evidence required to determine that a molecular biomarker, used to support early lung cancer detection, is appropriate for clinical use.An ad hoc project steering committee was formed, to include individuals with expertise in the early detection of lung cancer and molecular biomarker development, from inside and outside of the Assembly on Thoracic Oncology. Key questions, generated from the results of a survey of the project steering committee, were discussed at an in-person meeting. Results of the discussion were summarized in a policy statement that was circulated to the steering committee and revised multiple times to achieve consensus.With a focus on the clinical applications of lung cancer screening and lung nodule evaluation, the policy statement outlines categories of results that should be reported in the early phases of molecular biomarker development, discusses the level of evidence that would support study of the clinical utility, describes the outcomes that should be proven to consider a molecular biomarker clinically useful, and suggests study designs capable of assessing these outcomes.The application of molecular biomarkers to assist with the early detection of lung cancer has the potential to substantially improve our ability to select patients for lung cancer screening, and to assist with the characterization of indeterminate lung nodules. We have described relevant considerations and have suggested standards to apply when determining whether a molecular biomarker for the early detection of lung cancer is ready for clinical use.
View details for DOI 10.1164/rccm.201708-1678ST
View details for PubMedID 28960111
The Exosome Total Isolation Chip.
Circulating tumor-derived extracellular vesicles (EVs) have emerged as a promising source for identifying cancer biomarkers for early cancer detection. However, the clinical utility of EVs has thus far been limited by the fact that most EV isolation methods are tedious, nonstandardized, and require bulky instrumentation such as ultracentrifugation (UC). Here, we report a size-based EV isolation tool called ExoTIC (exosome total isolation chip), which is simple, easy-to-use, modular, and facilitates high-yield and high-purity EV isolation from biofluids. ExoTIC achieves an EV yield ∼4-1000-fold higher than that with UC, and EV-derived protein and microRNA levels are well-correlated between the two methods. Moreover, we demonstrate that ExoTIC is a modular platform that can sort a heterogeneous population of cancer cell line EVs based on size. Further, we utilize ExoTIC to isolate EVs from cancer patient clinical samples, including plasma, urine, and lavage, demonstrating the device's broad applicability to cancers and other diseases. Finally, the ability of ExoTIC to efficiently isolate EVs from small sample volumes opens up avenues for preclinical studies in small animal tumor models and for point-of-care EV-based clinical testing from fingerprick quantities (10-100 μL) of blood.
View details for DOI 10.1021/acsnano.7b04878
View details for PubMedID 29090896
- Accuracy of Models to Identify Lung Nodule Cancer Risk in the National Lung Screening Trial. American journal of respiratory and critical care medicine 2017
Molecular profiling of single circulating tumor cells from lung cancer patients
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2016; 113 (52): E8379-E8386
Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.
View details for DOI 10.1073/pnas.1608461113
View details for Web of Science ID 000391090800003
View details for PubMedID 27956614
View details for PubMedCentralID PMC5206556
Use of [(18)F]Fluoro-2-deoxy-d-glucose Positron Emission Tomographic Imaging in the National Lung Screening Trial.
2016; 150 (3): 621-630
Positron emission tomography (PET) is a diagnostic tool for lung cancer evaluation. No studies have ascertained practice patterns and determined the appropriateness of PET use in a large group of U.S. patients with screen detected lung nodules.We analyzed participants in the National Lung Screening Trial (NLST) with positive screening test results and identified individuals with a PET scan performed prior to lung cancer diagnosis (diagnostic PET). Appropriate scan was defined as one performed in a patient with a nodule ≥ 0.8 cm. Logistic regression was used to assess factors associated with diagnostic PET use and appropriateness of PET use.Diagnostic PET was performed in 1,556 of 14,195 (11%) patients with positive screens; 331 of these (21%) were inappropriate. PET use by endemic fungal disease area was comparable although patients from the Northeast/Southeast were twice as likely as the West to have a diagnostic PET. Trial arm, older age, gender, nodule size ≥ 0.8 cm, upper lobe location, and spiculated margin were variables positively associated with use. Trial arm, older age and spiculated margin were positively associated with appropriate use. Only 561 (36%) diagnostic PETs were recommended by a radiologist and 284 (86%) PETs performed for nodules < 0.8 cm were ordered despite no recommendation from a radiologist.PET was differentially utilized in the NLST and inappropriately used in many cases against radiologist recommendations. These data suggest PET may be over utilized in the lung cancer screening population and may contribute to excess healthcare costs.
View details for DOI 10.1016/j.chest.2016.05.006
View details for PubMedID 27179906
A Wandering Pulmonary Nodule.
American journal of respiratory and critical care medicine
View details for PubMedID 27512939
Pre-treatment non-target lung FDG-PET uptake predicts symptomatic radiation pneumonitis following Stereotactic Ablative Radiotherapy (SABR).
Radiotherapy and oncology
2016; 119 (3): 454-460
To determine if pre-treatment non-target lung FDG-PET uptake predicts for symptomatic radiation pneumonitis (RP) following lung stereotactic ablative radiotherapy (SABR).We reviewed a 258 patient database from our institution to identify 28 patients who experienced symptomatic (grade ⩾ 2) RP after SABR, and compared them to 57 controls who did not develop symptomatic RP. We compared clinical, dosimetric and functional imaging characteristics between the 2 cohorts including pre-treatment non-target lung FDG-PET uptake.Median follow-up time was 26.9 months. Patients who experienced symptomatic RP had significantly higher non-target lung FDG-PET uptake as measured by mean SUV (p < 0.0001) than controls. ROC analysis for symptomatic RP revealed area under the curve (AUC) of 0.74, with sensitivity 82.1% and specificity 57.9% with cutoff mean non-target lung SUV > 0.56. Predictive value increased (AUC of 0.82) when mean non-target lung SUV was combined with mean lung dose (MLD). We developed a 0-2 point model using these 2 variables, 1 point each for SUV > 0.56 or MLD > 5.88 Gy equivalent dose in 2 Gy per fraction (EQD2), predictive for symptomatic RP in our cohort with hazard ratio 10.01 for score 2 versus 0 (p < 0.001).Patients with elevated pre-SABR non-target lung FDG-PET uptake are at increased risk of symptomatic RP after lung SABR. Our predictive model suggests patients with mean non-target lung SUV > 0.56 and MLD > 5.88 Gy EQD2 are at highest risk. Our predictive model should be validated in an external cohort before clinical implementation.
View details for DOI 10.1016/j.radonc.2016.05.007
View details for PubMedID 27267049
- Methyl Methacrylate Mimicking a Retained Guide Wire. Journal of vascular and interventional radiology : JVIR 2016; 27 (12): 1906
A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer.
Tomography : a journal for imaging research
2016; 2 (4): 283–94
Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts. We propose a new paradigm, called "digital biopsy," that allows for the collection of intensity- and texture-based features from these regions at least 1 order of magnitude faster than the current manual or semiautomated methods. A radiologist reviewed automated segmentations of lung nodules from 100 preoperative volume computed tomography scans of patients with non-small cell lung cancer, and manually adjusted the nodule boundaries in each section, to be used as a reference standard, requiring up to 45 minutes per nodule. We also asked a different expert to generate a digital biopsy for each patient using a paintbrush tool to paint a contiguous region of each tumor over multiple cross-sections, a procedure that required an average of <3 minutes per nodule. We simulated additional digital biopsies using morphological procedures. Finally, we compared the features extracted from these digital biopsies with our reference standard using intraclass correlation coefficient (ICC) to characterize robustness. Comparing the reference standard segmentations to our digital biopsies, we found that 84/94 features had an ICC >0.7; comparing erosions and dilations, using a sphere of 1.5-mm radius, of our digital biopsies to the reference standard segmentations resulted in 41/94 and 53/94 features, respectively, with ICCs >0.7. We conclude that many intensity- and texture-based features remain consistent between the reference standard and our method while substantially reducing the amount of operator time required.
View details for DOI 10.18383/j.tom.2016.00163
View details for PubMedID 28612050
View details for PubMedCentralID PMC5466872
Diameter of Solid Tumor Component Alone Should be Used to Establish T Stage in Lung Adenocarcinoma.
Annals of surgical oncology
2015; 22: 1318-1323
The computed tomographic (CT) appearance of so-called ground glass components within lung adenocarcinomas correlate with noninvasive tumor histology, and solid radiographic components correlate with invasive histology. We hypothesized that T stage might be more accurately applied by considering the solid component nodule diameter rather than total nodule diameter.We identified 74 patients with a solitary lung adenocarcinoma who underwent resection without receiving neoadjuvant therapy. Maximum total diameter and solid diameter of the nodules were measured on CT scans performed within 3 months of surgery. Cox proportional hazard modeling and Kaplan-Meier analyses were performed to determine whether total nodule diameter or solid component diameter was more predictive of overall survival.Thirty-three patients (45 %) had a solid nodule and 41 patients (55 %) had a part-solid nodule. Most patients were white (59 %) and female (69 %), and 42 % had never smoked. Seventy-four percent underwent lobectomy and 23 % sublobar resection. Sixty-six percent had pathologic stage I disease, 22 % stage II, and 12 % stage IIIA. Mean ± SD total and solid nodule diameters were 32.1 ± 17.5 and 24.8 ± 18.0 mm, respectively (p = 0.01). Among patients with part-solid nodules, multivariate modeling incorporating significant univariate predictors of survival (age, gender, procedure, N descriptor) revealed that maximum solid diameter was associated with overall survival (hazard ratio 1.4, p = 0.01), while maximum total diameter was not.In a largely non-Asian cohort undergoing resection for adenocarcinoma, radiographic diameter of the solid component of a part-solid lesion on CT predicts overall survival better than total lesion diameter. These data provide further evidence to support altering the T descriptor for lung adenocarcinoma for part-solid nodules.
View details for DOI 10.1245/s10434-015-4780-0
View details for PubMedID 26228108
- Integrating Tumor and Stromal Gene Expression Signatures With Clinical Indices for Survival Stratification of Early-Stage Non-Small Cell Lung Cancer. Journal of the National Cancer Institute 2015; 107 (10)
The prognostic landscape of genes and infiltrating immune cells across human cancers
2015; 21 (8): 938-945
Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of clinical outcomes. However, existing data sets are fragmented and difficult to analyze systematically. Here we present a pan-cancer resource and meta-analysis of expression signatures from ∼18,000 human tumors with overall survival outcomes across 39 malignancies. By using this resource, we identified a forkhead box MI (FOXM1) regulatory network as a major predictor of adverse outcomes, and we found that expression of favorably prognostic genes, including KLRB1 (encoding CD161), largely reflect tumor-associated leukocytes. By applying CIBERSORT, a computational approach for inferring leukocyte representation in bulk tumor transcriptomes, we identified complex associations between 22 distinct leukocyte subsets and cancer survival. For example, tumor-associated neutrophil and plasma cell signatures emerged as significant but opposite predictors of survival for diverse solid tumors, including breast and lung adenocarcinomas. This resource and associated analytical tools (http://precog.stanford.edu) may help delineate prognostic genes and leukocyte subsets within and across cancers, shed light on the impact of tumor heterogeneity on cancer outcomes, and facilitate the discovery of biomarkers and therapeutic targets.
View details for DOI 10.1038/nm.3909
View details for Web of Science ID 000359181000022
View details for PubMedID 26193342
Circulating Tumor Microemboli Diagnostics for Patients with Non-Small-Cell Lung Cancer
JOURNAL OF THORACIC ONCOLOGY
2014; 9 (8): 1111-1119
Circulating tumor microemboli (CTM) are potentially important cancer biomarkers, but using them for cancer detection in early-stage disease has been assay limited. We examined CTM test performance using a sensitive detection platform to identify stage I non-small-cell lung cancer (NSCLC) patients undergoing imaging evaluation.First, we prospectively enrolled patients during 18F-FDG PET-CT imaging evaluation for lung cancer that underwent routine phlebotomy where CTM and circulating tumor cells (CTCs) were identified in blood using nuclear (DAPI), cytokeratin (CK), and CD45 immune-fluorescent antibodies followed by morphologic identification. Second, CTM and CTC data were integrated with patient (age, gender, smoking, and cancer history) and imaging (tumor diameter, location in lung, and maximum standard uptake value [SUVmax]) data to develop and test multiple logistic regression models using a case-control design in a training and test cohort followed by cross-validation in the entire group.We examined 104 patients with NSCLC, and the subgroup of 80 with stage I disease, and compared them to 25 patients with benign disease. Clinical and imaging data alone were moderately discriminating for all comers (Area under the Curve [AUC] = 0.77) and by stage I disease only (AUC = 0.77). However, the presence of CTM combined with clinical and imaging data was significantly discriminating for diagnostic accuracy in all NSCLC patients (AUC = 0.88, p value = 0.001) and for stage I patients alone (AUC = 0.87, p value = 0.002).CTM may add utility for lung cancer diagnosis during imaging evaluation using a sensitive detection platform.
View details for Web of Science ID 000340138700012
View details for PubMedID 25157764
Design and Analysis for Studying microRNAs in Human Disease: A Primer on -Omic Technologies
AMERICAN JOURNAL OF EPIDEMIOLOGY
2014; 180 (2): 140-152
microRNAs (miRNAs) are fundamental to cellular biology. Although only approximately 22 bases long, miRNAs regulate complex processes in health and disease, including human cancer. Because miRNAs are highly stable in circulation when compared with several other classes of nucleic acids, they have generated intense interest as clinical biomarkers in diverse epidemiologic studies. As with other molecular biomarker fields, however, miRNA research has become beleaguered by pitfalls related to terminology and classification; procedural, assay, and study cohort heterogeneity; and methodological inconsistencies. Together, these issues have led to both false-positive and potentially false-negative miRNA associations. In this review, we summarize the biological rationale for studying miRNAs in human disease with a specific focus on circulating miRNAs, which highlight some of the most challenging topics in the field to date. Examples from lung cancer are used to illustrate the potential utility and some of the pitfalls in contemporary miRNA research. Although the field is in its infancy, several important lessons have been learned relating to cohort development, sample preparation, and statistical analysis that should be considered for future studies. The goal of this primer is to equip epidemiologists and clinical researchers with sound principles of study design and analysis when using miRNAs.
View details for DOI 10.1093/aje/kwu135
View details for Web of Science ID 000339808700003
View details for PubMedID 24966218
NF-?B protein expression associates with (18)F-FDG PET tumor uptake in non-small cell lung cancer: A radiogenomics validation study to understand tumor metabolism.
2014; 83 (2): 189-196
We previously demonstrated that NF-κB may be associated with (18)F-FDG PET uptake and patient prognosis using radiogenomics in patients with non-small cell lung cancer (NSCLC). To validate these results, we assessed NF-κB protein expression in an extended cohort of NSCLC patients.We examined NF-κBp65 by immunohistochemistry (IHC) using a Tissue Microarray. Staining intensity was assessed by qualitative ordinal scoring and compared to tumor FDG uptake (SUVmax and SUVmean), lactate dehydrogenase A (LDHA) expression (as a positive control) and outcome using ANOVA, Kaplan Meier (KM), and Cox-proportional hazards (CPH) analysis.365 tumors from 355 patients with long-term follow-up were analyzed. The average age for patients was 67±11 years, 46% were male and 67% were ever smokers. Stage I and II patients comprised 83% of the cohort and the majority had adenocarcinoma (73%). From 88 FDG PET scans available, average SUVmax and SUVmean were 8.3±6.6, and 3.7±2.4 respectively. Increasing NF-κBp65 expression, but not LDHA expression, was associated with higher SUVmax and SUVmean (p=0.03 and 0.02 respectively). Both NF-κBp65 and positive FDG uptake were significantly associated with more advanced stage, tumor histology and invasion. Higher NF-κBp65 expression was associated with death by KM analysis (p=0.06) while LDHA was strongly associated with recurrence (p=0.04). Increased levels of combined NF-κBp65 and LDHA expression were synergistic and associated with both recurrence (p=0.04) and death (p=0.03).NF-κB IHC was a modest biomarker of prognosis that associated with tumor glucose metabolism on FDG PET when compared to existing molecular correlates like LDHA, which was synergistic with NF-κB for outcome. These findings recapitulate radiogenomics profiles previously reported by our group and provide a methodology for studying tumor biology using computational approaches.
View details for DOI 10.1016/j.lungcan.2013.11.001
View details for PubMedID 24355259
A Dominant Adenocarcinoma With Multifocal Ground Glass Lesions Does Not Behave as Advanced Disease
Late-Breaking Clinical Trial Abstract Session at the 49th Annual Meeting of the Society-of-Thoracic-Surgeons
ELSEVIER SCIENCE INC. 2013: 411–18
Invasive lung adenocarcinomas increasingly present with synchronous, multifocal, in situ lesions that appear as ground glass opacities (GGOs). The optimal approach in this circumstance (often nonsmokers) remains unclear. We evaluated a general strategy of anatomic resection of the dominant tumor (DT) and wedge resection of accessible ipsilateral GGOs.This is a retrospective review of 39 patients with suspected multifocal in situ adenocarcinomas and 1 DT in a predominantly Caucasian population. Mean follow-up is 30.7 months.Forty-nine percent of patients had no or minimal smoking history; 21% were Asian. The resected DT was pathologically "bronchioloalveolar carcinoma" (26%), minimally invasive adenocarcinoma (5%), adenocarcinoma with bronchioloalveolar features (41%), or moderate well-differentiated adenocarcinoma (28%). The p stage of the DT was IA in 20, IB in 15, and IIA in 4, with mean diameter of 2.6 cm. Thirty-two patients (82%) underwent anatomic resection of the DT; 7 (18%) underwent wedge resection. The mean number of GGOs present initially was 2.7 (range, 1 to 7) with a 5.2-mm mean diameter. An unresected nodule increased in size during follow-up in only 9 patients (23%). The mean diameter growth among these was 3.2 mm, with mean doubling time of 49 months. New GGOs (range, 1 to 8) developed in 16 patients (41%), all of which remained at 7 mm or less. Distant metastasis developed in 2 patients (5.2%); only 1 patient has required intervention for progression of a GGO. The overall survival is 100%.Patients with limited, multifocal, in situ adenocarcinomas and a clinical N0 DT enjoy prolonged survival with generally anatomic resection of the DT and wedge resection of accessible GGOs. These patients should not be considered to harbor T4 or M1a disease.
View details for DOI 10.1016/j.athoracsur.2013.04.048
View details for Web of Science ID 000323177800015
View details for PubMedID 23806231
- An Observational Study of Circulating Tumor Cells and F-18-FDG PET Uptake in Patients with Treatment-Naive Non-Small Cell Lung Cancer PLOS ONE 2013; 8 (7)
- Circulating tumour cells in early breast cancer LANCET ONCOLOGY 2012; 13 (9): E370-E371
Prognostic PET F-18-FDG Uptake Imaging Features Are Associated with Major Oncogenomic Alterations in Patients with Resected Non-Small Cell Lung Cancer
2012; 72 (15): 3725-3734
Although 2[18F]fluoro-2-deoxy-d-glucose (FDG) uptake during positron emission tomography (PET) predicts post-surgical outcome in patients with non-small cell lung cancer (NSCLC), the biologic basis for this observation is not fully understood. Here, we analyzed 25 tumors from patients with NSCLCs to identify tumor PET-FDG uptake features associated with gene expression signatures and survival. Fourteen quantitative PET imaging features describing FDG uptake were correlated with gene expression for single genes and coexpressed gene clusters (metagenes). For each FDG uptake feature, an associated metagene signature was derived, and a prognostic model was identified in an external cohort and then tested in a validation cohort of patients with NSCLC. Four of eight single genes associated with FDG uptake (LY6E, RNF149, MCM6, and FAP) were also associated with survival. The most prognostic metagene signature was associated with a multivariate FDG uptake feature [maximum standard uptake value (SUV(max)), SUV(variance), and SUV(PCA2)], each highly associated with survival in the external [HR, 5.87; confidence interval (CI), 2.49-13.8] and validation (HR, 6.12; CI, 1.08-34.8) cohorts, respectively. Cell-cycle, proliferation, death, and self-recognition pathways were altered in this radiogenomic profile. Together, our findings suggest that leveraging tumor genomics with an expanded collection of PET-FDG imaging features may enhance our understanding of FDG uptake as an imaging biomarker beyond its association with glycolysis.
View details for DOI 10.1158/0008-5472.CAN-11-3943
View details for Web of Science ID 000307354100004
View details for PubMedID 22710433
View details for PubMedCentralID PMC3596510
Clinical Outcome Prediction by MicroRNAs in Human Cancer: A Systematic Review
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE
2012; 104 (7): 528-540
MicroRNA (miR) expression may have prognostic value for many types of cancers. However, the miR literature comprises many small studies. We systematically reviewed and synthesized the evidence.Using MEDLINE (last update December 2010), we identified English language studies that examined associations between miRs and cancer prognosis using tumor specimens for more than 10 patients during classifier development. We included studies that assessed a major clinical outcome (nodal disease, disease progression, response to therapy, metastasis, recurrence, or overall survival) in an agnostic fashion using either polymerase chain reaction or hybridized oligonucleotide microarrays.Forty-six articles presenting results on 43 studies pertaining to 20 different types of malignancy were eligible for inclusion in this review. The median study size was 65 patients (interquartile range [IQR] = 34-129), the median number of miRs assayed was 328 (IQR = 250-470), and overall survival or recurrence were the most commonly measured outcomes (30 and 19 studies, respectively). External validation was performed in 21 studies, 20 of which reported at least one nominally statistically significant result for a miR classifier. The median hazard ratio for poor outcome in externally validated studies was 2.52 (IQR = 2.26-5.40). For all classifier miRs in studies that evaluated overall survival across diverse malignancies, the miRs most frequently associated with poor outcome after accounting for differences in miR assessment due to platform type were let-7 (decreased expression in patients with cancer) and miR 21 (increased expression).MiR classifiers show promising prognostic associations with major cancer outcomes and specific miRs are consistently identified across diverse studies and platforms. These types of classifiers require careful external validation in large groups of cancer patients that have adequate protection from bias. -
View details for DOI 10.1093/jnci/djs027
View details for Web of Science ID 000302293200008
View details for PubMedID 22395642
- Fluorodeoxyglucose-PET Scanning in the Diagnosis of Pleural Disease CHEST 2011; 139 (4): 966-967
PET Scan F-18-Fluorodeoxyglucose Uptake and Prognosis in Patients With Resected Clinical Stage IA Non-small Cell Lung Cancer
2010; 137 (5): 1150-1156
Our objective was to examine the association between (18)F-fluorodeoxyglucose (FDG) uptake on PET scan and prognosis in patients with surgically treated, clinical stage IA non-small cell lung cancer (NSCLC).We reviewed data collection forms and Veterans Affairs administrative records of 75 patients with surgically treated, stage IA NSCLC who were enrolled in a prospective study of PET imaging from 1999 to 2001. We used Cox proportional hazards analysis to examine the association between FDG uptake and survival 4 years following enrollment.Most patients were men (97%), and the mean age was 68 +/- 9 years. Almost half of the patients (44%) had adenocarcinoma, and 35% underwent a sublobar resection. The mean maximum standardized uptake value (SUVmax) was 4.9 +/- 2.5 in survivors and 7.1 +/- 3.9 in nonsurvivors (P = .045). Before and after adjustment for age, tumor size, histology, and type of resection, the hazard of death was significantly higher in patients with squamous cell histology (adjusted hazard ratio [HR], 4.54; 95% CI, 1.09-18.9) and those with higher degrees of FDG uptake (adjusted HR, 1.21 per 1 unit increment; 95% CI, 1.01-1.45). At a threshold value of 5 for SUVmax, 34 of 39 patients (87%) with low FDG uptake survived, compared with only 24 of 36 patients (67%) with high FDG uptake (P = .04). Visual assessment of FDG uptake was not associated with an increased hazard of death (HR 0.66; 95% CI, 0.19-2.29).High FDG uptake as measured by SUVmax identifies individuals with clinical stage IA NSCLC who are at increased risk of death following surgery. Such high-risk patients may be good candidates for participation in future trials of adjuvant therapy.
View details for DOI 10.1378/chest.09-2356
View details for Web of Science ID 000277542300023
View details for PubMedID 20038738
- Management of Lung Nodules Detected by Volume CT Scanning NEW ENGLAND JOURNAL OF MEDICINE 2010; 362 (8): 757-757
Positron Emission Tomography F-18-Fluorodeoxyglucose Uptake and Prognosis in Patients with Surgically Treated, Stage I Non-small Cell Lung Cancer: A Systematic Review
JOURNAL OF THORACIC ONCOLOGY
2009; 4 (12): 1473-1479
18F-fluorodeoxyglucose (FDG) uptake holds potential as a noninvasive biomarker in patients with non-small cell lung cancer (NSCLC). We aimed to investigate the association between tumor FDG uptake and survival in patients with surgically resected, stage I NSCLC.We used systematic methods to identify studies for inclusion, assess methodological quality, and abstract relevant data about study design and results.Our literature search identified 1578 citations, of which nine retrospective, cross-sectional studies met eligibility criteria. In all studies, higher degrees of FDG uptake in the primary tumor were associated with worse overall or disease free survival after 2 to 5 years of follow-up, but these differences were statistically significant in only five studies. Across studies, the median overall or disease free survival was 70% for patients with higher FDG uptake compared with 88% for patients with lower FDG uptake. In three studies that performed multivariable analysis, the adjusted hazard of death or recurrence was 1.9 to 8.6 times greater in patients with higher FDG uptake.Current evidence suggests that increasing tumor FDG uptake is associated with worse survival in patients with stage I NSCLC. FDG uptake has the potential to be used as a biomarker for identifying stage I patients who are at increased risk of death or recurrence and therefore could identify candidates for participation in future trials of adjuvant therapy.
View details for Web of Science ID 000272095500005
View details for PubMedID 19887967