Size of Stage IIIA Primary Lung Cancers and Survival: A Surveillance, Epidemiology and End Results Database Analysis

2012 ◽  
Vol 78 (11) ◽  
pp. 1232-1237 ◽  
Author(s):  
Steven Maximus ◽  
Danh V. Nguyen ◽  
Yi Mu ◽  
Royce F. Calhoun ◽  
David T. Cooke
Keyword(s):  
Lung Cancer ◽  
Risk Factor ◽  
Tumor Size ◽  
Early Stage ◽  
Large Population ◽  
Nonsmall Cell Lung Cancer ◽  
Stage Iiia ◽  
Early Stage Lung Cancer ◽  
Iiia Nsclc ◽  
End Results

Size of early-stage lung cancer is important in the prognosis of patients. We examined the large population-based Surveillance, Epidemiology and End Results database to determine if tumor size was an independent risk factor of survival in patients undergoing lobectomy for N2 positive Stage IIIA nonsmall cell lung cancer (NSCLC). This study identified 1971 patients diagnosed with N2 positive Stage IIIA NSCLC, from 1998 to 2007, and who underwent lobectomy. Five tumor groups based on the seventh edition TNM lung cancer staging system (pathologic T1a 2 cm or less; T1b greater than 2 cm and 3 cm or less; T2a greater than 3 cm and 5 cm or less; T2b greater than 5 cm and 7 cm or less; T3 greater than 7 cm) were analyzed. Survival was reduced in patients with T3, T2a, and T2b tumors compared with patients with T1a and T1b ( P < 0.001). Survival estimates correlated with tumor size with poorer survival in T3 followed by T2b, T2a, and then T1b and T1a. Cohorts with T1a (hazard ratio [HR], 0.53; P = 0.01) and T1b (HR, 0.54; P = 0.01) were both found to have decreased hazard of death. Negative predictors of survival, in addition to increasing tumor size, included age and male gender, whereas positive predictors included tumor Grade I and upper lobe location. Increasing size of tumor is an independent negative risk factor for survival in patients undergoing lobectomy for N2 positive Stage IIIA NSCLC.

scholarly journals FlowCell-enriched circulating tumor cells as a predictor of lung cancer metastasis

Human Cell ◽  
2021 ◽  
Author(s):  
Yan Lu ◽  
Yushuang Zheng ◽  
Yuhong Wang ◽  
Dongmei Gu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cancer Metastasis ◽  
Lung Tumor ◽  
Early Stage ◽  
High Rate ◽  
Early Stage Lung Cancer ◽  
Lung Cancer Metastasis ◽  
Number Of Patients

AbstractLung cancer is the most fetal malignancy due to the high rate of metastasis and recurrence after treatment. A considerable number of patients with early-stage lung cancer relapse due to overlooked distant metastasis. Circulating tumor cells (CTCs) are tumor cells in blood circulation that originated from primary or metastatic sites, and it has been shown that CTCs are critical for metastasis and prognosis in various type of cancers. Here, we employed novel method to capture, isolate and classify CTC with FlowCell system and analyzed the CTCs from a cohort of 302 individuals. Our results illustrated that FlowCell-enriched CTCs effectively differentiated benign and malignant lung tumor and the total CTC counts increased as the tumor developed. More importantly, we showed that CTCs displayed superior sensitivity and specificity to predict lung cancer metastasis in comparison to conventional circulating biomarkers. Taken together, our data suggested CTCs can be used to assist the diagnosis of lung cancer as well as predict lung cancer metastasis. These findings provide an alternative means to screen early-stage metastasis.

scholarly journals P04.10 Relapsed or Metastatic Organotropism in Early Stage Lung Cancer after Radical Surgery

2021 ◽  
Vol 16 (3) ◽  
pp. S264-S265
Author(s):  
F. Xu ◽  
L. Yang ◽  
C. Liu ◽  
J. Ying ◽  
Y. Wang
Keyword(s):  
Lung Cancer ◽  
Radical Surgery ◽  
Early Stage ◽  
Early Stage Lung Cancer ◽  
Stage Lung Cancer

scholarly journals Structural and functional radiomics for lung cancer

2021 ◽  
Author(s):  
Guangyao Wu ◽  
Arthur Jochems ◽  
Turkey Refaee ◽  
Abdalla Ibrahim ◽  
Chenggong Yan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Treatment Strategy ◽  
Early Stage ◽  
Quality Data ◽  
Clinical Implementation ◽  
Early Stage Lung Cancer ◽  
Treatment Response Evaluation ◽  
Advanced Stage Lung Cancer ◽  
Stage Lung Cancer

Abstract Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide. Precision medicine is working on altering treatment approaches and improving outcomes in this patient population. Radiological images are a powerful non-invasive tool in the screening and diagnosis of early-stage lung cancer, treatment strategy support, prognosis assessment, and follow-up for advanced-stage lung cancer. Recently, radiological features have evolved from solely semantic to include (handcrafted and deep) radiomic features. Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. Methods Here, we outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer. Conclusion The major drawbacks of radiomics are the lack of large datasets with high-quality data, standardization of methodology, the black-box nature of deep learning, and reproducibility. The prerequisite for the clinical implementation of radiomics is that these limitations are addressed. Future directions include a safer and more efficient model-training mode, merge multi-modality images, and combined multi-discipline or multi-omics to form “Medomics.”

scholarly journals Anatomical variants of pulmonary segments and uni-portal thoracoscopic segmentectomy for lung cancer in a patient with Kartagener syndrome: a case report

2021 ◽  
Author(s):  
Di Zhou ◽  
Ye Tian ◽  
Yao Lu ◽  
Xueying Yang
Keyword(s):  
Lung Cancer ◽  
Rare Variants ◽  
Sagittal Plane ◽  
Early Stage ◽  
Situs Inversus Totalis ◽  
Middle Lobe ◽  
The Body ◽  
Kartagener Syndrome ◽  
Early Stage Lung Cancer ◽  
Cancer Lesion

AbstractSitus inversus totalis (SIT) is an extremely uncommon congenital disease where the major organs of the body are transposed through the sagittal plane. Kartagener syndrome is a complication of SIT with immotility of bronchial cilia, bronchiectasis, and chronic sinusitis. There is no report describing patients with Kartagener syndrome who accept uni-portal segmentectomies for lung cancer in past studies. Here we report a 74-year-old female patient with both Kartagener syndrome and a small early-stage lung cancer lesion located in the apical segment of the left upper lobe (LS1). The pulmonary segment anatomy of the left upper lobe in this case, which had very rare variants, was presented and interpreted in detail. This patient underwent an anatomic segmentectomy to the LS1 and a partial excision to the left middle lobe with bronchiectasis through a single 3 cm length incision. We believe that the case can give surgeons some experience and inspiration.

scholarly journals Prognostic Value of Tumor Size in Resected Stage IIIA-N2 Non-Small-Cell Lung Cancer

2020 ◽  
Vol 9 (5) ◽  
pp. 1307 ◽  
Author(s):  
Chih-Yu Chen ◽  
Bing-Ru Wu ◽  
Chia-Hung Chen ◽  
Wen-Chien Cheng ◽  
Wei-Chun Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Factors ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung ◽  
Stage Iiia ◽  
Pathologic Stage ◽  
The Mean ◽  
Eighth Edition ◽  
Resected Stage

The eighth edition of the American Joint Committee on Cancer (AJCC) staging system for lung cancer was introduced in 2017 and included major revisions, especially of stage III. For the subgroup stage IIIA-N2 non-small-cell lung cancer (NSCLC), surgical resection remains controversial due to heterogeneous disease entity. The aim of this study was to evaluate the clinicopathologic features and prognostic factors of patients with completely resected stage IIIA-N2 NSCLC. We retrospectively evaluated 77 consecutive patients with pathologic stage IIIA-N2 NSCLC (AJCC eighth edition) who underwent surgical resection with curative intent in China Medical University Hospital between 2006 and 2014. Survival analysis was conducted, using the Kaplan–Meier method. Prognostic factors predicting overall survival (OS) and disease-free survival (DFS) were analyzed, using log-rank tests and multivariate Cox proportional hazards models. Of the 77 patients with pathologic stage IIIA-N2 NSCLC examined, 35 (45.5%) were diagnosed before surgery and 42 (54.5%) were diagnosed unexpectedly during surgery. The mean age of patients was 59 years, and the mean length of follow-up was 38.1 months. The overall one-, three-, and five-year OS rates were 91.9%, 61.3%, and 33.5%, respectively. Multivariate analysis showed that tumor size <3 cm (hazards ratio (HR): 0.373, p = 0.003) and video-assisted thoracoscopic surgery (VATS) approach (HR: 0.383, p = 0.014) were significant predictors for improved OS. For patients with surgically treated, pathologic stage IIIA-N2 NSCLC, tumor size <3 cm and the VATS approach seemed to be associated with better prognosis.

Sign in / Sign up

Export Citation Format

Share Document