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X. Fu
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MA 01 - SCLC: Research Perspectives (ID 650)
- Event: WCLC 2017
- Type: Mini Oral
- Track: SCLC/Neuroendocrine Tumors
- Presentations: 1
- Moderators:John V Heymach, Eun Kyung Cho
- Coordinates: 10/16/2017, 11:00 - 12:30, Room 503
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MA 01.11 - Timing of Thoracic Radiotherapy Is More Important Than Dose Escalation in Patients with Limited-Stage Small Cell Lung Cancer (ID 7354)
12:10 - 12:15 | Author(s): X. Fu
- Abstract
- Presentation
Background:
The optimal thoracic radiation dose/fraction for limited-stage small cell lung cancer (SCLC) is still in debate. This study mainly aims to retrospectively compare the impact on local/regional progression-free survival (LRPFS) of different thoracic radiation dose/fraction schedules from two prospective trials.
Method:
Patients in the hyperfractionated arm received thoracic radiotherapy consisted of 1.5 Gy twice a day in 30 fractions to 45 Gy. Patients in the hypofractionated arm received 2.5 Gy daily in 22 fractions to 55 Gy. Kaplan-Meier method was used to estimate survival data. Multivariate prognosis analysis was made by Cox proportional hazard regression analysis.
Result:
Nighty-two and 96 patients were accrued into to the hyperfractionated and hypofractionated arm respectively. The 1-year, 2-year LRPFS rates of the two arms were 82.1%, 60.7% and 84.9%, 68.8% respectively (P=0.27). The median OS time (months) of the two arms were 28.3 and 22.0 respectively, while 1-year, 3-year, 5-year OS rates were 85.2%, 40.8%, 27.1% and 76.9%, 34.3%, 26.8% respectively (P=0.37). On multivariate Cox regression study, the time (days) from the initiation of chemotherapy to thoracic radiotherapy (TCT) ≤ 43 (HR: 0.397, 95%CI: 0.207-0.762, P=0.005) was independently associate with improved LRPFS. The time (days) from the start of chemotherapy to end of thoracic radiotherapy (SER) ≤ 63 (HR: 0.508, 95%CI: 0.322-0.762, P=0.044) and PCI (HR: 0.433, 95%CI: 0.298-0.630, P=0.000) were favorably related to OS. Grade 2 and 3 acute radiation esophagitis were observed in 28.3%, 8.7% and 15.5%, 2.1% of patients in hyper- and hypofractionated arm respectively (P=0.009). Figure 1
Conclusion:
Both hyperfractionated and hypofractionated radiotherapy had achieved good LRPFS and OS in this study, although there was no statistical significance between the two arms. Keep TCT ≤ 43, SER ≤ 63 resulted in better LRPFS and OS. However, the incidence of acute radiation induced esophagitis was significantly more common in the hyperfractionated arm than in hypofractionated arm.
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MA 14 - Diagnostic Radiology, Staging and Screening for Lung Cancer I (ID 672)
- Event: WCLC 2017
- Type: Mini Oral
- Track: Radiology/Staging/Screening
- Presentations: 1
- Moderators:H. Kondo, Hong Kwan Kim
- Coordinates: 10/17/2017, 15:45 - 17:30, F205 + F206 (Annex Hall)
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MA 14.12 - Detecting Epidermal Growth Factor Receptor Mutation Status in Patients with Lung Adenocarcinoma Using Radiomics and Random Forest (ID 9772)
17:00 - 17:05 | Author(s): X. Fu
- Abstract
- Presentation
Background:
We tried a radiomics approach to build a random forest classifier for recognition of epidermal growth factor receptor (EGFR) mutation status in Chinese patients with lung adenocarcinomas using quantitative image features extracted from non-enhanced computed tomography (CT) images
Method:
From October 2008 to December 2015, 355 patients diagnosed with lung adenocarcinomas were included in this retrospective study. They all have complete clinical, pathological, and EGFR mutation status information, and their CT images were scanned before any invasive operation. Tumors with ground glass component or diameter smaller than 2 cm were not included. Their pathological phenotypes and EGFR mutation status were gained from surgical resections. Region of tumors on CT images were segmented semi-automatically first then manually modified by experienced clinicians. 440 quantitative image features were extracted from CT images and fall into four groups: first order statistics, shape and size based features, textural features, and wavelet features. Random forest was used to build the classification model which takes all the features into consideration and make an overall probability of mutation based on the vote of decision trees. The random forest classifier was validated using an independent set and its performance was evaluated using area under curve (AUC) values of the receiver operating characteristic
Result:
355 patients diagnosed with lung adenocarcinoma were enrolled in this study (170 male, 185 female; 54 smokers, 301 non-smokers). The patients all received surgery based treatment and their tumor stage varied from I to IV. EGFR mutations (mainly 19del and 21L858R) were found in 187/285(65.6%) and 48/70(68.6%) patients in training and validation sets respectively. The random forest model showed an AUC of 0.781 (95% confidence interval: 0.668-0.894, p<0.001) in the validation set. The sensitivity and specificity are 60.4% and 90.9% at best diagnostic decision point. These results were highest among published results of only using images to detect EGFR.
Conclusion:
The random forest classifier based on CT images showed potential ability to identify EGFR mutations in patients with lung adenocarcinomas and could be improved in future works.
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MA 17 - Locally Advanced NSCLC (ID 671)
- Event: WCLC 2017
- Type: Mini Oral
- Track: Locally Advanced NSCLC
- Presentations: 2
- Moderators:S. Jheon, Georgios Stamatis
- Coordinates: 10/17/2017, 15:45 - 17:30, F203 + F204 (Annex Hall)
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MA 17.02 - Clinical Impact of the Tumor Immune Microenvironment and Immunoscore in Completely Resected Stage IIIA(N2) Non-Small Cell Lung Cancer (ID 9401)
15:50 - 15:55 | Author(s): X. Fu
- Abstract
- Presentation
Background:
Completely resected stage IIIA(N2) non-small cell lung cancer (NSCLC) patients are considered to be a heterogeneous population. The heterogeneity applies to tumor cells but to the microenvironment as well. Mounting evidence suggests that tumor infiltrating lymphocytes (TILs) are of clinical importance. Hence, we aimed to evaluate the role of the immune microenvironment as an immunoscore in a uniform cohort of patients with completely resected stage IIIA(N2) NSCLC.
Method:
All patients with pathologic stage IIIA(N2) NSCLC who underwent complete resection in our hospital from 2005 to 2012 were retrospectively reviewed. Tissue microarrays were constructed by the surgical pathology specimens from primary lung tumors. For each specimen, we selected two cores from the tumor center (CT) and two cores from invasive margin (IM) region. Densities of immune cell subpopulations (CD3+, CD45RO+, and CD8+ TILs) were evaluated using immunohistochemistry with image analysis workstation (Vectra 3.0). Immunoscore is based on the numeration of two lymphocyte populations: CD45RO+ memory lymphocytes and CD8+ cytotoxic cells, quantified within the CT and IM. The immunoscore (I) provides a score ranging from I0 when low densities of both cell types are found in both regions, to I4 when high densities are found in both regions. The results were correlated with tumor recurrence and patient survival.
Result:
Of the eligible 357 patients, 288 patients with well-established lung tumor samples were obtained and included in the analysis. The median follow-up duration was 54.9 months (range, 23.9-132 months) for the living patients. The 5-year distant metastasis-free survival (DMFS) and overall survival (OS) rates were 26% and 34%, respectively. In univariate analyses, densities of CD3+ cells were associated with neither OS nor DMFS, whereas CD45RO+ cells in IM were prognostic for DMFS (P=0.02) and OS (P=0.05). Combining CD45RO and CD8+ TILs (CT plus IM), the immunoscore(I) significantly increased the prognostic impact. Of the 288 patients, there were 68 (24%) with I0, 64 (22%) I1, 58 (20%) I2, 48 (17%) I3, and 50 (17%) I4. Five-year DMFS and OS rates were 17% and 28% for the group with low immune score (N=190, I0-2), compared with 42% and 45% for the group with high immune score (N=98, I3-4), respectively (DMFS P<0.001; OS P=0.001). Multivariate analyses showed that the immunoscore had independent effects on DMFS (P<0.001) and OS (P<0.001).
Conclusion:
The immunoscore in NSCLC may provide powerful prognostic information, including the prediction of DMFS and OS, and thus facilitate clinical decision making regarding systemic therapy in patients with completely resected stage IIIA(N2) NSCLC.
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MA 17.03 - Prognostic Value of the New IASLC/ATS/ERS Lung Adenocarcinoma Classification in Completely Resected Stage IIIA(N2) NSCLC (ID 10180)
15:55 - 16:00 | Author(s): X. Fu
- Abstract
- Presentation
Background:
Completely resected stage IIIA(N2) non-small cell lung cancer (NSCLC) patients are a heterogeneous population, with 5-year survival rates ranging from 10% to 30%. The aim of this study was to investigate the relationship between the predominant subtype according to the new IASLC/ATS/ERS pathologic classification and prognosis in completely resected stage IIIA(N2) lung adenocarcinoma.
Method:
The medical records of 179 consecutive patients with completely resected stage IIIA(N2) NSCLC were reviewed between January 2005 and July 2012. According to the new pathologic classification, each tumor was reviewed using the comprehensive histological subtyping while recording the percentage in 5% increments for each histological component. Adenocarcinoma was divided into lepidic predominant, papillary predominant, acinar predominant, micropapillary predominant and solid-predominant. The predominant pattern was defined as the pattern with the largest percentage. To compare progression-free survival (PFS) and overall survival (OS) time between difference subtypes in lung adenocarcinomas, log-rank test was used for univariate analysis, and cox regression was used for multivariate analysis.
Result:
The median follow-up time was 42.7 months (range, 4.4–96.7months). The median PFS and OS time was 19.6 and 45.5 months, respectively. The 5-year PFS and OS rates were 16.4% and 34.6%, respectively. Patients with micropapillary and solid predominant tumors had poorer PFS (p=0.027) and OS (p=0.003) as compared to those with other subtypes predominant tumors. Micropapillary and solid predominant tumors were also significantly associated with an increased risk of locoregional recurrence (P=0.025), while not significantly associated with distant metastasis (P=0.21) than other subtypes predominant tumors. Multivariate analysis revealed that the new classification, chemotherapy, clinical N stage and LN ratio were independent prognostic factors for OS. Figure 1
Conclusion:
In patients with completely resected stage IIIA(N2) NSCLC, the predominant subtype according to new IASLC/ATS/ERS classification was an independent prognostic factor. It is valuable of screening out high risk patients to receive postoperative adjuvant therapy.
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P3.13 - Radiology/Staging/Screening (ID 729)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Radiology/Staging/Screening
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P3.13-010 - Correlation between HRCT Features of Pulmonary Pure Ground-Glass Nodules and the New Pathologic Classification of Lung Adenocarcinoma (ID 8457)
09:30 - 09:30 | Author(s): X. Fu
- Abstract
Background:
We analysed the correlation between the new pathologic classification of lung adenocarcinoma and radiologic findings of early invasive pulmonary adenocarcinomas versus preinvasive lesions appearing as PGGN on HRCT, and evaluated the values in the diagnosis of pathologic classification of lung adenocarcinoma with PGGN on HRCT.
Method:
Retrospective analysis of 123 lesions (16AAH, 35AIS, 35MIA, 37IA) with PGGN on HRCT with T1N0M0 lung adenocarcinoma or AAH from January 2014 to June 2014 in shanghai chest hospital. There were 93 females and 30 males, with a median age of 58 years old. Statistical relationship between the 2015 World Health Organization Classification of the lung adenocarcinoma and radiologic findings of PGGN were analyzed, then sceened out the best predictors, created a modal and verified it.
Result:
The Pearson correlation coefficient( P<0.05) between pathological types and all CT scan morphologic features showed a significant correlation. The logarithm linear correlation cient showed the CT feathures(lobulation, spiculation, pleural indentation, aterial gathering, bubbles/air bronchogram, shape,margin,internal uniformity) had a positive correlation with pathological types excluding tumor-lung interface. These scale variables as maximum lesion area on CT scan, lesion size in cranial-caudal direction, average density of lesion and the corresponding lung’s average background density were significant correlation with pathological types. Multinomial logistic regression analysis showed that the best predictors were spiculation, internal uniformity, lesion size in cranial-caudal direction,average density of lesion, gender in turn. Then the multinomial logistic regression model was built, a likelihood ratio test showed that 70.7% of the cases were classified correctly overall, and the predicted value of AAH was up to 92.9%. Figure 1
Conclusion:
The HRCT characteristics of PGGN were significant correlated with the new pathologic classification of lung adenocarcinoma. The pathologic types of PGGN should be evaluated by HRCT, and the best predictors were speculation, internal uniformity, lesion size in cranial-caudal direction, average density of lesion and gender.
