The novel histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society classification system of lung adenocarcinoma is a stage-independent predictor of survival

Pathology and personalized medicine in lung cancer

SUMMARY Personalized medicine for patients with non-small-cell lung cancer is a reality now and its use will only increase in the future. Pathology is key in supporting this approach to treatment decision-making, by performing the most complete and accurate histological subtyping of tumors possible, supported by predictive immunohistochemistry and the assessment of relevant biomarkers. The need for these extra diagnostic steps emphasizes the importance of maximizing tissue yields from biopsy procedures. Although multiplex approaches may allow simultaneous assessment of several biomarkers, there will remain a need for different types of test (e.g., immunohistochemistry, as well as mutation testing). Next-generation technologies for DNA sequencing are a great hope for extensive genetic analysis of single samples, provided various technical and logistical problems can be solved. All such laboratory activity must be supported by high-quality internal procedures and external quality-assurance schemes.

Worldwide overview of the current status of lung cancer diagnosis and treatment

Lung cancer is the leading worldwide cause of cancer deaths. Smoking is the dominant cause of lung cancer and smoking cessation is the established method to reduce lung cancer mortality. While lung cancer risk is reduced in former smokers, they have a lifelong increase in risk, compared to never-smokers. Novel chemoprevention strategies, such as oral or inhaled prostacyclin analogs, hold promise for these subjects. Low-dose spiral computed tomography screening reduced lung cancer mortality by 20% in high-risk heavy smokers older than 50 years. However, the high false-positive rate (96%) means that screened patients required controlled follow-up in experienced centers. An increasing percentage of patients with advanced lung cancer have molecular drivers in genes for which oral tyrosine kinase inhibitors have been developed.

A novel EML4-ALK variant: exon 6 of EML4 fused to exon 19 of ALK

INTRODUCTION

Cytotoxic chemotherapy remains the mainstay of treatment for most patients with advanced disease. Recently, anaplastic lymphoma kinase (ALK) expression as a major target for successful treatment with ALK inhibitors was detected in a subset of non-small-cell lung carcinomas, usually as a result of echinoderm microtubule-associated protein-like 4 (EML4)-ALK rearrangements. Although the chromosomal breakpoint within the EML4 gene varied, the breakpoint within ALK was most frequently reported within intron 19 or rarely in exon 20. Therefore, the different EML4-ALK variants so far contain the same 3' portion of ALK starting with exon 20.

METHODS

Here, we report a novel EML4-ALK variant detected by reverse transcription polymerase chain reaction analysis.

RESULTS

Subsequent sequencing revealed an EML4-ALK fusion variant in which exon 6 of EML4 was fused to exon 19 of ALK. It occurred in a predominant solid pulmonary adenocarcinoma of a 65-year-old woman with a clear split signal of ALK in fluorescence in situ hybridization analysis and a weakly homogeneous ALK expression in immunohistochemical staining.

CONCLUSIONS

Because of the growing number of fusion variants a primary reverse transcription polymerase chain reaction-based screening for ALK-positive non-small-cell lung carcinoma patients may not be sufficient for predictive diagnostics but transcript-based approaches and sequencing of ALK fusion variants might finally contribute to an optimized selection of patients.

Thyroid transcription factor-1 expression is an independent predictor of recurrence and correlates with the IASLC/ATS/ERS histologic classification in patients with stage I lung adenocarcinoma

BACKGROUND

In the current study, the authors investigated whether thyroid transcription factor-1 (TTF-1) expression is correlated with the International Association for the Study of Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) classification and whether it stratifies patients with stage I lung adenocarcinoma with respect to disease recurrence.

METHODS

Patients with stage I lung adenocarcinoma were classified according to the IASLC/ATS/ERS classification. Tissue microarrays were constructed and immunostaining for TTF-1 was performed. A total of 452 cases were available for analysis. Tumors were dichotomized based on the intensity of nuclear TTF-1 expression as negative (score of 0) or positive (score of 1-3). The cumulative incidence of recurrence (CIR) was used to estimate disease recurrence probabilities.

RESULTS

TTF-1 expression was identified in 92% of patients, including 100% of patients with minimally invasive or lepidic-predominant adenocarcinoma, 94% of patients with acinar-predominant adenocarcinoma, 98% of patients with papillary-predominant adenocarcinoma, 93% of patients with micropapillary-predominant adenocarcinoma, 86% of patients with solid-predominant adenocarcinoma, 67% of patients with colloid-predominant adenocarcinoma, and 47% of patients with invasive mucinous carcinoma. The CIR for patients with negative TTF-1 expression (n = 34 patients; 5-year CIR, 40%) was significantly higher than that for patients with positive TTF-1 expression (n = 418 patients; 5-year CIR, 15%) (P < .001). Among the patients with intermediate-grade tumors, the CIR for patients with negative TTF-1 expression (n = 16 patients; 5-year CIR, 45%) was significantly higher than that for patients with positive TTF-1 expression (n = 313 patients; 5-year CIR, 14%) (P < .001). On multivariate analysis, negative TTF-1 expression was found to be significantly correlated with an increased risk of disease recurrence (hazards ratio, 2.55; P = .009).

CONCLUSIONS

TTF-1 expression was found to be an independent predictor of disease recurrence, stratifying intermediate-grade tumors into 2 prognostic subsets, and it correlates with the IASLC/ATS/ERS classification.