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J. Yi
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P1.06 - Poster Session 1 - Prognostic and Predictive Biomarkers (ID 161)
- Event: WCLC 2013
- Type: Poster Session
- Track: Biology
- Presentations: 1
- Moderators:
- Coordinates: 10/28/2013, 09:30 - 16:30, Exhibit Hall, Ground Level
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P1.06-014 - A nomogram for predicting 5-year RFS in patients with pulmonary carcinoid tumors incorporating Ki-67 and clinical variables (ID 1567)
09:30 - 09:30 | Author(s): J. Yi
- Abstract
Background
Evaluation of prognostic factors in carcinoid tumors of the lung is limited due to the rarity of disease. This study assessed Ki-67 expression and other clinical variables as prognostic factors in cohort of 262 patients seen at Mayo Clinic, and subsequently developed a nomogram for predicting recurrence-free survival (RFS).Methods
A systematic search of Mayo Clinic lung cancer epidemiology and tumor registry databases from 1997 to 2009 identified 448 consecutive patients, with 262 having available tissue blocks [40 atypical carcinoids (AC) and 222 typical carcinoids (TC)]. Clinical data were collected by chart review. Tissue blocks were reviewed by 1 of 3 pathologists using WHO criteria. Tumors were tested for the Ki-67 index using digital image analysis (tumor tracing) by two operators. The associations of the factors with RFS were explored using multivariable Cox proportional Hazards models, including concordance (c) index. A nomogram was developed using the variables from the final multivariate model.Results
Age, smoking history, lymph node (LN) involvement, tumor size, and Ki-67 index were significant prognostic factors for RFS from a multivariate model (Table 1). Median follow-up on alive-patients was 5.6 years (0.008-16.2). Median percentage of Ki-67 index of AC and TC were 1.61% and 0.56% (P<0.0001), respectively. The multivariable model with Ki-67 index showed a c-index of 0.79 which was identical to a multivariable model with pathological diagnosis (c-index 0.79). The nomogram showing the probability of 5-year RFS estimates is shown in Figure 1. Figure 1Variables Adjusted by Ki-67 and Clinical Variables HR; 95% CI (P) Adjusted by Pathological Diagnosis and Clinical Variables HR; 95% CI (P) Ki-67 1.25; 1.11-1.41 (0.0016) -- AC vs. TC -- 2.01; 1.05-3.88 (0.0436) Age 1.05; 1.03-1.08 (<0.0001) 1.06; 1.03-1.09 (<0.0001) Smoking Never Former Current (<0.0001) -- 3.11; 1.68-5.74 4.34; 1.94-9.74 (0.0003) -- 2.86; 1.56-5.24 3.74; 1.67-8.40 Size of Tumor 1.42; 1.20-1.67 (0.0002) 1.33; 1.13-1.56 (0.0012) Metastatic LN Negative Positive (0.0007) -- 3.05; 1.66-5.59 (0.0068) -- 2.51; 1.33-4.76 Conclusion
Ki-67 index is a valuable prognostic biomarker for pulmonary carcinoids based on this large cohort. The nomogram based on Ki-67 index, age, smoking history, LN involvement, and tumor size is a useful clinical tool for predicting the 5-year RFS rate. Updating this nomogram with additional clinical follow-up, as well as external validation of this nomogram is critical before routine clinical use.
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P2.18 - Poster Session 2 - Pathology (ID 176)
- Event: WCLC 2013
- Type: Poster Session
- Track: Pathology
- Presentations: 1
- Moderators:
- Coordinates: 10/29/2013, 09:30 - 16:30, Exhibit Hall, Ground Level
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P2.18-018 - Outcomes of lung adenocarcinoma patients with signet ring cell tumors: a three-way evaluation (ID 2884)
09:30 - 09:30 | Author(s): J. Yi
- Abstract
Background
Pathologically, signet ring cells (SRC) describe singly dispersed tumor cells with intracytoplasmic mucin vacuoles, which eccentrically displace and compress the nucleus. SRCs are traditionally associated with adenocarcinoma of the gastrointestinal tract and are rare in lung adenocarcinoma (LACA). Patients with primary LACA with SRC features (SRC+) have been associated with poor clinical outcome and ALK gene rearrangement (ALK+). However, the impact of SRC+ on clinical outcome is not well delineated. We systematically studied LACA survival outcomes for the impact of SRC status.Methods
Three distinct groups of surgically treated patients with LACA (n=763) that were followed for ≥5 years were reviewed: never smokers (n=266), 2006-2007 cohort (n=222), and smokers enriched for various degrees of lepidic growth pattern (LGP, n=275). Two pulmonary pathologists reviewed all cases; SRC+ tumors were defined as having >10% SRCs, agreed by both pathologists. SRC+ tumors were TTF1+, and generally cytoplasmic mucin+ and CDX2-. ALK immunostain was performed on all SRC+ cases, and ALK status was confirmed by FISH for cases with any degree of immunoreactivity. Impact of SRC+ on patients’ survival outcomes (overall and disease-free, OS and DFS) were analyzed using Cox models (by hazard ratio, HR) separately for the three groups, with careful evaluation of known prognostic factors: age at diagnosis; gender; smoking status; lung cancer history; tumor subtype; grade and stage; and treatment (surgery, chemotherapy and/or radiation).Results
In the total of 763 patients (61% women, mean age at diagnosis 68 years), 53 (7%) were SRC+. In never smokers (73% women), 9% were SRC+; 33% of the SRC+ were ALK+ vs. 5% among the SRC- cases (p<0.0001). In the 2006-2007 cohort (55% women), 9% were SRC+; in LGP-smokers (54% women), 3% were SRC+. Across all three groups, SRC+ tumors were more likely to occur in men and have higher stage. Univariate analysis showed SRC+ never smokers had shorter survival: median DFS was 2.4 years (vs. 5.2 in SRC- never smokers, p=0.0004), and median OS was 3.7 years (vs. 7.6, p=0.0064). However, multivariate analysis did not confirm a significant impact of SRC+ on survival. In contrast, for the other two groups, crude 5-year survival was 6%-27% decreased in SRC+ cases compared to SRC- cases (none reached statistical significance); however, multivariate analysis revealed a 2-fold higher mortality (HR=2.30, 95% CI=1.01-5.27, p=0.048) for smokers with SRC+ tumors.Conclusion
Based on results from three patient groups, we confirmed that SRC+ is significantly associated with ALK+. Worse survival in patients with SRC+ tumors was observed in never smokers by univariate analysis. A potential negative impact of SRC+ tumors on OS in LGP-smokers was only uncovered after adjusting for known prognostic factors. These results need to be furthered confirmed.