Screening for lung cancer: a review of the current literature

Lung cancer in a health area of Spain: incidence, characteristics and survival

To examine the incidence, characteristics, therapeutic approach and survival of diagnosed lung cancer (LC) in the Santiago de Compostela Health Area. A retrospective study was carried out on LC for a period of 3 years. Of the 481 cases collected, 92.7% were male. The median age was 66.93 years. The crude incidence for men and women was 80.71 and 5.84 per 100,000 inhabitants respectively. Among the non-small cell lung cancers (NSCLC), 68.1% were diagnosed in stage IIIB or IV. The cancer had already spread in 62.2% of the small cell lung cancer (SCLC). Chemotherapy was used in 51.6% of patients. The survival probability from the first to the fifth year was 47.7%, 24.3%, 12.9%, 10% and 8.9% respectively. The median survival at 5 years was 12.12 months for NSCLC, rising to 29.8 months in stage I, and 8.85 months in SCLC. In our Health Area LC occurs more often in men, in whom the prevalence of smoking is very high. The most common histology type was squamous cell carcinoma. In the majority of cases, the diagnosis is made in the advanced stages, which accounts for the low percentage of surgical treatments and the short survival.

Chemoprevention of lung cancer

Lung cancer is the leading cause of cancer death in the United States, and the majority of diagnoses are made in former smokers. While avoidance of tobacco abuse and smoking cessation clearly will have the greatest impact on lung cancer development, effective chemoprevention could prove to be more effective than treatment of established disease. Chemoprevention is the use of dietary or pharmaceutical agents to reverse or inhibit the carcinogenic process and has been successfully applied to common malignancies other than lung. Despite previous studies in lung cancer chemoprevention failing to identify effective agents, our ability to determine higher risk populations and the understanding of lung tumor and pre-malignant biology continues to advance. Additional biomarkers of risk continue to be investigated and validated. The World Health Organization/International Association for the Study of Lung Cancer classification for lung cancer now recognizes distinct histologic lesions that can be reproducibly graded as precursors of non-small cell lung cancer. For example, carcinogenesis in the bronchial epithelium starts with normal epithelium and progresses through hyperplasia, metaplasia, dysplasia, and carcinoma in situ to invasive squamous cell cancer. Similar precursor lesions exist for adenocarcinoma, and these pre-malignant lesions are targeted by chemopreventive agents in current and future trials. At this time, chemopreventive agents can only be recommended as part of well-designed clinical trials, and multiple trials are currently in progress and additional trials are in the planning stages. This review will discuss the principles of chemoprevention, summarize the completed trials, and discuss ongoing and potential future trials with a focus on targeted pathways.

DNA methylation-based biomarkers for early detection of non-small cell lung cancer: an update

Lung cancer is the number one cancer killer in the United States. This disease is clinically divided into two sub-types, small cell lung cancer, (10–15% of lung cancer cases), and non-small cell lung cancer (NSCLC; 85–90% of cases). Early detection of NSCLC, which is the more common and less aggressive of the two sub-types, has the highest potential for saving lives. As yet, no routine screening method that enables early detection exists, and this is a key factor in the high mortality rate of this disease. Imaging and cytology-based screening strategies have been employed for early detection, and while some are sensitive, none have been demonstrated to reduce lung cancer mortality. However, mortality might be reduced by developing specific molecular markers that can complement imaging techniques. DNA methylation has emerged as a highly promising biomarker and is being actively studied in multiple cancers. The analysis of DNA methylation-based biomarkers is rapidly advancing, and a large number of potential biomarkers have been identified. Here we present a detailed review of the literature, focusing on DNA methylation-based markers developed using primary NSCLC tissue. Viable markers for clinical diagnosis must be detectable in 'remote media' such as blood, sputum, bronchoalveolar lavage, or even exhaled breath condensate. We discuss progress on their detection in such media and the sensitivity and specificity of the molecular marker panels identified to date. Lastly, we look to future advancements that will be made possible with the interrogation of the epigenome.

Lung cancer patients who are asymptomatic at diagnosis show favorable prognosis: a korean Lung Cancer Registry Study

PURPOSE AND METHODS

The outcomes of lung cancer patients who were asymptomatic at diagnosis have never been reported as part of a large-scale study. A national survey of lung cancer in South Korea registered a total of 8788 patients diagnosed in 2005. We report the results herein, with an emphasis on the prognosis of the asymptomatic lung cancer patients.

RESULTS

Adenocarcinoma was the most frequent (36.1%) histopathologic type, followed by squamous cell carcinoma (32.1%), large cell carcinoma (1.5%), and small cell carcinoma (13.5%). In most cases, lung cancer was detected with subjective symptoms, but 6.5% of cases had no symptoms indicative of lung cancer at the time of diagnosis. Compared to symptomatic patients, asymptomatic patients were younger, more often female, non-smokers, and more frequently presented with adenocarcinoma. Initial treatments were surgery (22.1%), radiation therapy (7.8%), chemo-radiation therapy (5.4%), and chemotherapy (38%), while 26.6% of patients were recorded to have supportive care only. Asymptomatic patients received surgery in 60.0% of cases, and they showed significantly longer survival times than symptomatic patients. Absence of symptoms at diagnosis significantly reduced the risk of death from non-small cell lung cancer, regardless of patient age, patient gender, stage at diagnosis, smoking history, or whether treatment was performed, but did not reduce the risk of death from small cell lung cancer.

CONCLUSIONS

Adenocarcinoma has grown to be the leading histopathologic type of lung cancer in South Korea. Absence of symptom at diagnosis is a favorable prognostic factor for patients with non-small cell lung cancer.

Is our natural-history model of lung cancer wrong?

For screening to be successful in lung cancer, programmes need to identify a precursor of fatal disease that is highly treatable. This precursor is currently presumed to be early-stage lung cancer, and thus our current efforts in lung-cancer screening have focused on finding, and treating, early-stage lung cancer. In other words, our current natural-history model of lung cancer is based on the notion that for a period before a lung cancer becomes advanced and fatal, it is localised and treatable. Empirical findings emerging from studies of lung-cancer screening suggest this notion to be incorrect. These studies all suggest that early-stage histologically confirmed lung cancers identified by screening are not precursors of advanced or incurable disease. If true, these findings have potentially important implications for the development and assessment of new lung-cancer screening approaches.

Identification of a panel of sensitive and specific DNA methylation markers for squamous cell lung cancer

Background

Lung cancer is the leading cause of cancer death in men and women in the United States and Western Europe. Over 160,000 Americans die of this disease every year. The five-year survival rate is 15% – significantly lower than that of other major cancers. Early detection is a key factor in increasing lung cancer patient survival. DNA hypermethylation is recognized as an important mechanism for tumor suppressor gene inactivation in cancer and could yield powerful biomarkers for early detection of lung cancer. Here we focused on developing DNA methylation markers for squamous cell carcinoma of the lung. Using the sensitive, high-throughput DNA methylation analysis technique MethyLight, we examined the methylation profile of 42 loci in a collection of 45 squamous cell lung cancer samples and adjacent non-tumor lung tissues from the same patients.

Results

We identified 22 loci showing significantly higher DNA methylation levels in tumor tissue than adjacent non-tumor lung. Of these, eight showed highly significant hypermethylation in tumor tissue (p < 0.0001): GDNF, MTHFR, OPCML, TNFRSF25, TCF21, PAX8, PTPRN2 and PITX2. Used in combination on our specimen collection, this eight-locus panel showed 95.6% sensitivity and specificity.

Conclusion

We have identified 22 DNA methylation markers for squamous cell lung cancer, several of which have not previously been reported to be methylated in any type of human cancer. The top eight markers show great promise as a sensitive and specific DNA methylation marker panel for squamous cell lung cancer.

Lung cancer screening: promise and pitfalls

OBJECTIVES

To provide an overview of the status of lung cancer screening.

DATA SOURCES

Published articles, book chapters, websites, and research studies.

CONCLUSION

Screening with chest x-ray and sputum cytology has not been shown to be effective in reducing lung cancer mortality. Although screening with helical CT is currently under investigation in randomized clinical trials, observational studies have not shown evidence that it can detect lung cancer that is curable.

IMPLICATIONS FOR NURSING PRACTICE

As health care educators and caregivers, nurses should be informed of the status and current controversies associated with lung cancer screening.

Haptoglobin and posttranslational glycan-modified derivatives as serum biomarkers for the diagnosis of nonsmall cell lung cancer

BACKGROUND

The purpose was to evaluate the clinical utility of serum haptoglobin (Hp) and posttranslational glycan modifications of Hp for the diagnosis of nonsmall cell lung cancer (NSCLC).

METHODS

Serum proteins from patients with a new diagnosis of NSCLC and age- and sex-matched controls without cancer were compared using 2-dimensional difference gel electrophoresis (2D-DIGE). Four of the differentially expressed gel spots were identified as the beta chain of Hp. Immunoblots confirmed sialyl and fucosyl group posttranslational modifications (PTMs) of Hp. Serum enzyme-linked immunosorbent assays (ELISAs) for total Hp, sialylated Hp (SAHp), and fucosylated Hp (FHp) were designed, and levels of each were measured in an independent sample set of 74 patients. Receiver operating characteristic (ROC) analysis assessed the clinical diagnostic utility of each marker.

RESULTS

Statistically significant differences between lung cancer patients and matched controls were found by ELISA for Hp (P < .002), SAHp (P < .001), and FHp (P < .04). ROC analysis determined an area under the curve (AUC) of 0.754 for Hp, 0.740 for SAHp, and 0.794 for FHp. In addition, serum concentrations correlated with stage; Hp (r = 0.388; P = .018), SAHp (r = 0.300; P = .072), and FHp (r = 0.363; P = .027).

CONCLUSIONS

Hp and 2 of its glycoforms, SAHp and FHp, are potentially useful in the clinical diagnosis of NSCLC. The markers increase with stage, suggesting they may also be useful in stratifying patients at presentation and in following patients after treatment.

Optimization of image acquisition techniques for dual-energy imaging of the chest

Experimental and theoretical studies were conducted to determine optimal acquisition techniques for a prototype dual-energy (DE) chest imaging system. Technique factors investigated included the selection of added x-ray filtration, kVp pair, and the allocation of dose between low- and high-energy projections, with total dose equal to or less than that of a conventional chest radiograph. Optima were computed to maximize lung nodule detectability as characterized by the signal-difference-to-noise ratio (SDNR) in DE chest images. Optimal beam filtration was determined by cascaded systems analysis of DE image SDNR for filter selections across the periodic table (Z(filter) = 1-92), demonstrating the importance of differential filtration between low- and high-kVp projections and suggesting optimal high-kVp filters in the range Z(filter) = 25-50. For example, added filtration of approximately 2.1 mm Cu, approximately 1.2 mm Zr, approximately 0.7 mm Mo, and approximately 0.6 mm Ag to the high-kVp beam provided optimal (and nearly equivalent) soft-tissue SDNR. Optimal kVp pair and dose allocation were investigated using a chest phantom presenting simulated lung nodules and ribs for thin, average, and thick body habitus. Low- and high-energy techniques ranged from 60-90 kVp and 120-150 kVp, respectively, with peak soft-tissue SDNR achieved at [60/120] kVp for all patient thicknesses and all levels of imaging dose. A strong dependence on the kVp of the low-energy projection was observed. Optimal allocation of dose between low- and high-energy projections was such that approximately 30% of the total dose was delivered by the low-kVp projection, exhibiting a fairly weak dependence on kVp pair and dose. The results have guided the implementation of a prototype DE imaging system for imaging trials in early-stage lung nodule detection and diagnosis.

Long-term follow-up study of a population-based 1996–1998 mass screening programme for lung cancer using mobile low-dose spiral computed tomography

Early diagnosis and treatment are important for improvement of the low survival rate of patients with lung cancer. The objective of this study was to evaluate the long-term survival rate of patients identified to have lung cancer by our population-based baseline and annual repeat low-radiation dose computed tomography (low-dose CT) screenings, conducted in 1996-1998. A total of 13,037 CT scans were obtained from 5480 subjects (2969 men, 2511 women) aged 40-74 years at the initial CT screening. Lung cancer was detected in 63 subjects (57 were detected by CT scans and underwent surgery; 1 was detected by sputum cytology and underwent surgery; 3 rejected treatment; and 2 were interval cases that developed symptoms prior to the next annual repeat CT screening). Follow-up study included review of medical records. Death certificates were examined to check for any deceased interval case among participants. Postoperative follow-up of the 50 survived patients ranged from 70 to 117 (median, 101) months. Eight patients died during follow-up (6 due to lung cancer from 20 to 67 months after surgery and 2 deaths unrelated to lung cancer, each 7 and 60 months following surgery). Three patients who rejected treatment died 14 months to 6 years after positive screening CT scans, and the 2 interval cases died at each 17 and 30 months, respectively, following negative screening CT scans. Survival was analysed in 59 patients with lung cancer detected by low-dose CT screening (excluding two patients; one was detected by sputum cytology and the other had mass lesion already noted on the chest radiograph of the previous year). The 10-year survival calculated by the Kaplan-Meier method was 83.1% (95% CI: 0.735-0.927) for death from all causes and 86.2% (95% CI: 0.773-0.951) for death from lung cancer. The survival rate was excellent for never-smokers, patients with BAC and adenocarcinoma/mixed types with non-solid CT density pattern, associated with Noguchi's type A or B and pathologic stage IA. A poorer prognosis was noted in smokers with adenocarcinomas/mixed types, associated with part-solid or solid CT density pattern and Noguchi's type C or D. All patients with non-solid tumours measuring 6-13.5mm at presentation are alive, patients with part-solid tumours, measuring 17mm or more, or solid tumours, measuring 13mm or more at presentation were associated with increased risk of lung cancer-related morbidity or mortality. The estimated rate of possible over-diagnosis was 13% in total and we failed to cure 17% of patients encountered in the programme. Low-dose CT screening substantially improves the 10-year survival for lung cancer with minimal use of invasive treatment procedures.

Microsatellite analysis of induced sputum DNA in patients with lung cancer in heavy smokers and in healthy subjects

Abnormality in the fragile histidine triade (FHIT), a candidate tumor suppressor gene located in chromosome region 3 (3p14.2), has been frequently found in multiple tumor types, including lung cancer. In this study, the authors assessed the consistency of DNA microsatellite analysis of induced sputum (IS), as compared to that of blood and plasma. They also evaluated the loss of heterozigosity (LOH) and microsatellite instability (MSI) in 3 different loci, D3S1300, D3S1313, and D3S1234, all internal to the FHIT gene, in IS, blood, and plasma from patients with lung cancer, smokers, and healthy subjects. Eighteen patients with lung cancer (3 females, age mean +/- SD: 63 +/- 7 years), 39 smokers (23 females, age mean +/- SD: 57 +/- 6 years and cigarette pack-years mean +/- SD: 34 +/- 12), and 22 healthy nonsmoking subjects (13 females, age mean +/- SD: 63 +/- 5 years) were studied. DNA was extracted from blood, plasma, and IS, by means of a standard method. Analysis of LOH and MSI were performed using a fluorescent polymerase chain reaction (PCR)-based approach, followed by capillary electrophoresis. The ratios between the peak heights (phs), expressed as random fluorescence units, from plasma/blood (p/b) and induced sputum/blood (is/b) in all three loci were considered. The biases (agreement limits) between the mean ph ratio from p/b and is/b of D3S1300, D3S1313, and D3S1234 were respectively 0.07 (- 0.39 to 0.53), 0.016 (- 0.32 to 0.35), - 0.10 (- 0.51 to 0.30) in the patients; - 0.04 (- 0.52 to 0.43), - 0.06 (- 0.31 to 0.18), - 0.08 (- 0.48 to 0.30) in smokers; and - 0.11 (- 0.40 to 0.17), - 0.05 (- 0.53 to 0.43), - 0.09 (- 0.51 to 0.33) in healthy subjects. LOH and MSI in at least one locus were observed in 55% of patients, in 18% of smokers, and in 4.5% of healthy subjects (P < 0.001). These results showed that IS DNA provided data that were consistent with those from blood and plasma. These findings highlight new prospects for early tumor detection by a noninvasive technique based on the analysis of genetic alterations in induced sputum.

Postoperative Prognosis in Patients with Non-small Cell Lung Cancer According to the Method of Initial Detection

INTRODUCTION

In this study, we investigated the difference in the surgical results of non-small cell lung cancer according to the method of initial detection.

METHODS

We reviewed the medical records of 796 patients who underwent pulmonary resection for non-small cell lung cancer between 1994 and 2005. The subjects consisted of 171 patients whose cancer was detected by a medical checkup or mass health screening (group I), 316 patients who were under evaluation for other diseases or with symptoms related to other diseases (group II), and 309 patients with lung cancer-related symptoms (group III). The mean ages of the three groups were 63.2, 69.7, and 68.2 years old, respectively, with group I being significantly younger than the other groups. The proportion of women in the symptomatic group was significantly lower than that of men.

RESULTS

Pathologic stage I lung cancer was found in 112 (65.5%), 209 (65.2%), and 110 (35.6%) patients in groups I, II, and III, respectively. In comparison with stage II-IV cancer, stage I cancer was diagnosed more frequently in group I. According to the histologic type, adenocarcinoma was found in 132 patients (77.2%) in group I. However, squamous cell carcinoma was detected in only 27 patients (15.8%) in group I. The overall 5-year survival rates were 71.9%, 60.2%, and 48.0% in groups I, II, and III, respectively. Groups I and II had significantly better prognoses than group III.

CONCLUSION

Groups I and II had favorable prognoses, and the presence of symptoms related to lung cancer was a significantly unfavorable prognostic factor independent of all other factors.

Screening for Lung Cancer

BACKGROUND

Lung cancer typically exhibits symptoms only after the disease has spread, making cure unlikely. Because early-stage disease can be successfully treated, a screening technique that can detect lung cancer before it has spread might be useful in decreasing lung cancer mortality.

OBJECTIVES

In this article, we review the evidence for and against screening for lung cancer with low-dose CT and offer recommendations regarding its usefulness for asymptomatic patients with no history of cancer.

RESULTS

Studies of lung cancer screening with chest radiograph and sputum cytology have failed to demonstrate that screening lowers lung cancer mortality rates. Published studies of newer screening technologies such as low-dose CT and "biomarker" screening report primarily on lung cancer detection rates and do not present sufficient data to determine whether the newer technologies will benefit or harm. Although researchers are conducting randomized trials of low-dose CT, results will not be available for several years. In the meantime, cost-effectiveness analyses and studies of nodule growth are considering practical questions but producing inconsistent findings.

CONCLUSIONS

For high-risk populations, no screening modality has been shown to alter mortality outcomes. We recommend that individuals undergo screening only when it is administered as a component of a well-designed clinical trial with appropriate human subjects' protections.

Profiling tumor-associated antibodies for early detection of non-small cell lung cancer

BACKGROUND

A blood test for non-small cell lung cancer (NSCLC) may be a valuable tool for use in a comprehensive lung cancer screening strategy. Here we report the potential of autoantibody profiling to detect early-stage and occult NSCLC.

METHODS

T7-phage NSCLC cDNA libraries were screened with patient plasma to identify phage-expressed proteins recognized by tumor-associated antibodies. Two hundred twelve immunogenic phage-expressed proteins, identified from 4000 clones, were statistically ranked for their individual reactivity with 23 stage I cancer patient and 23 risk-matched control samples. All 46 samples were used as a training set to define a combination of markers that were best able to distinguish patient from control samples; this set of classifiers was then examined using leave-one-out cross-validation. Markers were then used to predict probability of disease in 102 samples from the Mayo Clinic CT Screening Trial (six prevalence cancer samples, 40 drawn 1 to 5 years before diagnosis, and 56 risk-matched controls).

RESULTS

Measurements of the five most predictive antibody markers in 46 cases and controls were combined in a logistic regression model that yielded area under the receiver operating characteristics curve of 0.99; leave-one-out validation achieved 91.3% sensitivity and 91.3% specificity. In testing this marker set with samples from the Mayo Clinic Lung Screening Trial, we correctly predicted six of six prevalence cancers, 32 of 40 cancers from samples drawn 1 to 5 years before radiographic detection on incidence screening, and 49 of 56 risk-matched controls.

CONCLUSIONS

Antibody profiling may be a useful tool for early detection of NSCLC.

A translational view of the molecular pathogenesis of lung cancer

Molecular genetic studies of lung cancer have revealed that clinically evident lung cancers have multiple genetic and epigenetic abnormalities, including DNA sequence alterations, copy number changes, and aberrant promoter hypermethylation. Together, these abnormalities result in the activation of oncogenes and inactivation of tumor-suppressor genes. In many cases these abnormalities can be found in premalignant lesions and in histologically normal lung bronchial epithelial cells. Findings suggest that lung cancer develops through a stepwise process from normal lung epithelial cells towards frank malignancy, which usually occurs as a result of cigarette smoking. Lung cancer has a high morbidity because it is difficult to detect early and is frequently resistant to available chemotherapy and radiotherapy. New, rationally designed early detection, chemoprevention, and therapeutic strategies based on the growing understanding of the molecular changes important to lung cancer are under investigation. For example, methylated tumor DNA sequences in sputum or blood are being investigated for early detection screening, and new treatments that specifically target molecules such as vascular endothelial growth factor and the epidermal growth factor receptor are becoming available. Meanwhile, global gene expression signatures from individual tumors are showing potential as prognostic and therapeutic indicators, such that molecular typing of individual tumors for therapy selection is not far away. Finally, the recent development of a model system of immortalized human bronchial epithelial cells, along with a paradigm shift in the conception of cancer stem cells, promises to improve the situation for patients with lung cancer. These advances highlight the translation of molecular discoveries on lung cancer pathogenesis from the laboratory to the clinic.

Lung cancer

Lung cancer is the most frequently occurring cancer in the world, and in the United States it is the second most common cancer diagnosed. Accurate staging by imaging can have a significant impact on appropriate treatment and surgical options. Familiarity with the different histologic subtypes of lung cancer and the typical and atypical appearances of lung cancer is vital. Radiologists serve a critical role in the diagnosis, staging, and follow-up of patients with lung cancer.

Should we screen for occupational lung cancer with low-dose computed tomography?

OBJECTIVE

The objective of this study was to assess the potential value of screening for occupational lung cancer through the use of low-dose computed tomography (LDCT).

METHODS

A literature review of Medline was conducted to assess: 1) screening studies of occupational lung cancer that used LDCT; 2) screening studies of nonoccupational lung cancer that used LDCT; and 3) position papers of medical professional societies and nongovernmental health organizations that have addressed the value of screening for lung cancer with LDCT.

RESULTS

No screening studies of occupational lung cancer with LDCT were uncovered; however, numerous observational and population-based studies have addressed the value of screening for lung cancer among cigarette smokers. Results of these studies are difficult to interpret in light of numerous biases associated with these types of studies. No randomized, controlled studies on screening for lung cancer have been published at this time. No professional, governmental, or nonprofit health organization recommends screening asymptomatic people at risk of lung cancer with LDCT at this time.

CONCLUSION

In the absence of randomized, controlled studies that can address biases commonly encountered in observational and population-based studies, it is unclear whether LDCT reduces mortality from lung cancer. The National Cancer Institute is sponsoring a randomized, controlled study of over 50,000 current and former smokers with the results expected in 2009.

A gene expression signature predicts survival of patients with stage I non-small cell lung cancer

BACKGROUND

Lung cancer is the leading cause of cancer-related death in the United States. Nearly 50% of patients with stages I and II non-small cell lung cancer (NSCLC) will die from recurrent disease despite surgical resection. No reliable clinical or molecular predictors are currently available for identifying those at high risk for developing recurrent disease. As a consequence, it is not possible to select those high-risk patients for more aggressive therapies and assign less aggressive treatments to patients at low risk for recurrence.

METHODS AND FINDINGS

In this study, we applied a meta-analysis of datasets from seven different microarray studies on NSCLC for differentially expressed genes related to survival time (under 2 y and over 5 y). A consensus set of 4,905 genes from these studies was selected, and systematic bias adjustment in the datasets was performed by distance-weighted discrimination (DWD). We identified a gene expression signature consisting of 64 genes that is highly predictive of which stage I lung cancer patients may benefit from more aggressive therapy. Kaplan-Meier analysis of the overall survival of stage I NSCLC patients with the 64-gene expression signature demonstrated that the high- and low-risk groups are significantly different in their overall survival. Of the 64 genes, 11 are related to cancer metastasis (APC, CDH8, IL8RB, LY6D, PCDHGA12, DSP, NID, ENPP2, CCR2, CASP8, and CASP10) and eight are involved in apoptosis (CASP8, CASP10, PIK3R1, BCL2, SON, INHA, PSEN1, and BIK).

CONCLUSIONS

Our results indicate that gene expression signatures from several datasets can be reconciled. The resulting signature is useful in predicting survival of stage I NSCLC and might be useful in informing treatment decisions.

The psychological impact of annual chest X-ray follow-up in head and neck cancer

CONCLUSION

Annual post-treatment screening of head and neck squamous cell carcinoma (HNSCC) patients for second primary lung cancer and metastatic recurrence appeared to form no major burden for head and neck cancer patients. A majority of patients regard the annual chest X-ray as a reassurance. Given these results a more intensive screening program seems psychologically justifiable for this group.

OBJECTIVE

To assess the psychological impact of annual post-treatment screening for second primary lung cancer and metastases in HNSCC patients.

PATIENTS AND METHODS

In a cohort of 106 patients, 68 men and 38 women, with a mean age of 56, the impact of the yearly chest radiograph was evaluated by means of a nine-item questionnaire.

RESULTS

In all, 90% of the patients were in favor of annual post-treatment screening, 2% would not like to receive this screening, and 8% had no preference. A majority (98%) considered the screening as an extra medical check and 76% felt reassured. Although 21% of the patients were very nervous about the outcome of the screening, only 3% wanted to avoid the yearly chest X-ray for this reason.

Attitudes towards screening for lung cancer among smokers and their non-smoking counterparts

BACKGROUND

There has been resurgence of interest in lung cancer screening using low-dose computed tomography. The implications of directing a screening programme at smokers has been little explored.

METHODS

A nationwide telephone survey was conducted. Demographics, certain clinical characteristics and attitudes about screening for lung cancer were ascertained. Responses of current, former and never smokers were compared.

RESULTS

2001 people from the US were interviewed. Smokers were significantly (p < 0.05) more likely than never smokers to be male, non-white, less educated, and to report poor health status or having had cancer, and less likely to be able to identify a usual source of healthcare. Compared with never smokers, current smokers were less likely to believe that early detection would result in a good chance of survival (p < 0.05). Smokers were less likely to be willing to consider computed tomography screening for lung cancer (71.2% (current smokers) v 87.6% (never smokers) odds ratio (OR) 0.48; 95% confidence interval (CI) 0.32 to 0.71). More never smokers as opposed to current smokers believed that the risk of disease (88% v 56%) and the accuracy of the test (92% v 71%) were important determinants in deciding whether to be screened (p < 0.05). Only half of the current smokers would opt for surgery for a screen-diagnosed cancer.

CONCLUSION

The findings suggest that there may be substantial obstacles to the successful implementation of a mass-screening programme for lung cancer that will target cigarette smokers.

Risk-Benefit Analysis of X-Ray Exposure Associated with Lung Cancer Screening in the Italung-CT Trial

OBJECTIVE

Prior analyses of X-ray exposures in lung cancer screening with CT considered the basic acquisition technique in single-detector scanners and the effects of a lifetime screening regimen, whereas the potential benefit in terms of lives saved was not addressed.

MATERIALS AND METHODS

We determined the total-body effective dose of different acquisition techniques for one single-detector and one MDCT scanner and made projections about the cumulative radiation exposure to smokers undergoing four annual CT examinations on the same scanners in the Italung-CT Trial. Combining these data with estimates of radiation-induced fatal cancer and of the benefit of screening, we calculated the risk-benefit ratio for participants in the trial, ex-smokers, and never-smokers.

RESULTS

The cumulative effective doses per 1,000 subjects were 3.3 Sv using an MDCT scanner and 5.8 or 7.1 Sv using a single-detector scanner. Potential fatal cancers associated with radiation exposure were 0.11 per 1,000 subjects for MDCT scanners and 0.20 or 0.24 for single-detector scanners, which is about 10-100 times lower than the number of expected lives saved by screening assuming a 20-30% lung cancer-specific mortality reduction in current smokers. They were, however, of similar magnitude to the lives saved by screening in never-smokers and former smokers assuming a 10% efficacy of screening.

CONCLUSION

MDCT is associated with lower radiation doses than single-detector CT technology. The risk of radiation dose in the Italung-CT Trial is compensated for by the expected benefit. CT screening for lung cancer should not be offered to never-smokers, whereas its recommendation in former smokers is debatable.

Validation of a model of lung cancer risk prediction among smokers

The Bach model was developed to predict the absolute 10-year risk of developing lung cancer among smokers by use of participants in the Carotene and Retinol Efficacy Trial of lung cancer prevention. We assessed the validity of the Bach model among 6239 smokers from the placebo arm of the Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study. The expected numbers of lung cancer cases and deaths without lung cancer were calculated from the Bach model and compared with the observed numbers of corresponding events over 10 years. We found that the risk model slightly underestimated the observed lung cancer risk (number of lung cancers expected/number observed = 0.89, 95% confidence interval [CI] = 0.80 to 0.99) over 10 years. The competing risk portion of the model substantially underestimated risk of non-lung cancer mortality (number of non-lung cancer deaths expected/number observed = 0.61, 95% CI = 0.57 to 0.64) over 10 years. The age-specific concordance indices for 10-year predictions were 0.77 (95% CI = 0.70 to 0.84), 0.59 (95% CI = 0.53 to 0.65), 0.62 (95% CI = 0.57 to 0.67), and 0.57 (95% CI = 0.49 to 0.67) for the age groups 50-54, 55-59, 60-64, and 65-69 years, respectively. Periodic radiographic screening in the ATBC Study may explain why slightly more cancers were observed than expected from the Bach model.

Finnish Institute of Occupational Health (FIOH): prevention and detection of asbestos-related diseases, 1987-2005

BACKGROUND

Between 1987 and 1992, the Finnish Institute of Occupational Health (FIOH) initiated and implemented the Asbestos Program that aimed at reducing asbestos-related risks. It was a cooperative effort between government authorities, labor market organizations, and health care and labor protection personnel.

METHODS

During the Program and its follow-up since 1993 several preventive actions were taken, and considerable new legislation and official instructions were issued.

RESULTS

Approximately 200,000 people in Finland have been exposed to asbestos in their work. Through the cooperative efforts of government, labor, health care and worker protection programs, the import of asbestos was ceased in 1993 with a few exceptions. Almost all imports ceased in 2005 following European Union directives. Regulation of asbestos abatement companies has been greatly increased. The occupational exposure limit has been reduced from 2.0 fibers/cm(3) to the present 0.1 fibers/cm(3). Asbestos-related diseases are closely monitored and education of health care providers regarding the occupational source of these conditions is now emphasized.

CONCLUSIONS

The success of the primary goal of the Program, a reduction in asbestos-related morbidity, will not be fully realized for many decades.

Development of a membrane array-based multimarker assay for detection of circulating cancer cells in patients with non-small cell lung cancer

Combination of multiple mRNA markers has been largely investigated for detection of circulating cancer cells. However, current PCR-based methods are relatively expensive and time consuming. The aim of this study was to develop a membrane array-based multimarker assay for detection of circulating cancer cells in nonsmall cell lung cancer (NSCLC) patients. At first, we selected 22 candidate genes by means of suppression subtractive hybridization and Northern blot analysis. The diagnostic value of each candidate gene was then preliminarily evaluated in 50 pairs of blood samples by membrane array method. Accordingly, 17 genes with area under the ROC curve (AUC) > or = 0.8 were selected as target genes to reconstruct the diagnostic membrane array, which was then used to test peripheral blood samples from 100 NSCLC patients and 147 control subjects. ROC curve analysis demonstrated that the optimal threshold number of overexpressed markers on membrane array for discrimination between NSCLC patients and control subjects was 12. As a result, the diagnostic membrane array could detect circulating cancer cells in 90 (90%) of 100 NSCLC patients and in 14 (9.5%) of 147 control subjects (including 6 of 100 normal persons, 3 of 20 breast cancer patients, 3 of 15 colorectal cancer patients and 2 of 12 gastric cancer patients). Moreover, the detection rate was significantly correlated with NSCLC patients' metastatic status and overall stage (p = 0.028 and 0.014, respectively). These results suggested that our blood-based membrane array assay for molecular detection of circulating lung cancer cells has great potential for clinical applications.

Progression of airway dysplasia and C-reactive protein in smokers at high risk of lung cancer

RATIONALE

Chronic inflammation has been implicated in the development of airway dysplasia and lung cancer. It is unclear whether circulating biomarkers of inflammation could be used to predict progression of airway dysplasia.

OBJECTIVE

We determined whether circulating levels of C-reactive protein (CRP) or other inflammatory biomarkers could predict progression of bronchial dysplasia in smokers over 6 mo.

METHODS

The plasma levels of CRP, interleukins 6 and 8, and monocyte chemoattractant protein 1 were measured at baseline in 65 ex- and current smokers who had at least one site of bronchial dysplasia > 1.2 mm in size. Additional bronchial biopsies were taken after 6 mo from the same sites where dysplastic lesions were discovered at baseline. Progressive dysplastic lesions were defined as worsening of the dysplastic lesion by at least two grades or development of new dysplastic lesions.

RESULTS

Half of the participants developed progressive dysplastic lesions after 6 mo. The baseline CRP levels in these participants were 64% higher than those without progressive disease (p = 0.027). Only one of eight (13%) participants with CRP < or = 0.5 mg/L developed progressive disease, whereas 31 of 57 (54%) participants with CRP > 0.5 mg/L developed progressive disease (p = 0.011). The odds of developing progressive disease were 9.6-fold higher in the latter than in the former group.

CONCLUSION

Plasma CRP, in concert with lung function and pack-years of smoking, appears to have excellent predictive powers in identifying participants with bronchial dyplastic lesions whose lesions progress to more advanced stages of dysplasia.

Screening for lung cancer: New horizons?

Lung cancer remains the leading cause of cancer-related deaths in the world. At present, the only high rate of cure therapy is surgical resection at early stage of disease. Early detection could potentially decrease lung cancer mortality suggesting that this cancer should be a good candidate for screening. Results of trials involving chest X-ray, sputum cytology and low-dose computed tomography (CT) are discussed here. The latter tool offers advantages over chest X-ray, but final results from controlled well conducted trials are necessary before the real utility of CT mass screening can be determined. Further approaches to secondary prevention such as screening with positron emission tomography (PET), autofluorescence bronchoscopy and biomarkers hold great promise for the future.

One Hundred Years of Lung Cancer

A hundred years ago, lung cancer was a reportable disease, and it is now the commonest cause of death from cancer in both men and women in the developed world, and before long, will reach that level in the developing world as well. The disease has no particular symptoms or signs for its detection at an early stage. Most patients therefore present with advanced stage IIIB or IV disease. Screening tests began in the 1950s with annual chest x-ray films and sputum cytology but they resulted in no improvement in overall mortality compared with control subjects. The same question is now being asked of spiral low-dose computed tomographic scanning. There have been big refinements in the staging classification of lung cancer and advances in stage identification using minimally invasive technology. Postsurgical mortality has declined from the early days of the 1950s but 5-year cure rates have only barely improved. The addition of chemotherapy to radical radiotherapy, together with novel radiotherapy techniques, is gradually improving the outcome for locally advanced, inoperable non-small cell lung cancer. Chemotherapy offers modest survival improvement for patients with non-small cell lung cancer, the modern agents being better tolerated resulting in an improved quality of life. The management of small cell lung cancer, which appeared so promising at the beginning of the 1970s, has hit a plateau with very little advance in outcome over the last 15 years. The most important and cost-effective management for lung cancer is smoking cessation, but for those with the disease, novel agents and treatment approaches are urgently needed.

Generalized DQE analysis of radiographic and dual-energy imaging using flat-panel detectors

Analysis of detective quantum efficiency (DQE) is an important component of the investigation of imaging performance for flat-panel detectors (FPDs). Conventional descriptions of DQE are limited, however, in that they take no account of anatomical noise (i.e., image fluctuations caused by overlying anatomy), even though such noise can be the most significant limitation to detectability, often outweighing quantum or electronic noise. We incorporate anatomical noise in experimental and theoretical descriptions of the "generalized DQE" by including a spatial-frequency-dependent noise-power term, S(B), corresponding to background anatomical fluctuations. Cascaded systems analysis (CSA) of the generalized DQE reveals tradeoffs between anatomical noise and the factors that govern quantum noise. We extend such analysis to dual-energy (DE) imaging, in which the overlying anatomical structure is selectively removed in image reconstructions by combining projections acquired at low and high kVp. The effectiveness of DE imaging in removing anatomical noise is quantified by measurement of S(B) in an anthropomorphic phantom. Combining the generalized DQE with an idealized task function to yield the detectability index, we show that anatomical noise dramatically influences task-based performance, system design, and optimization. For the case of radiography, the analysis resolves a fundamental and illustrative quandary: The effect of kVp on imaging performance, which is poorly described by conventional DQE analysis but is clarified by consideration of the generalized DQE. For the case of DE imaging, extension of a generalized CSA methodology reveals a potentially powerful guide to system optimization through the optimal selection of the tissue cancellation parameter. Generalized task-based analysis for DE imaging shows an improvement in the detectability index by more than a factor of 2 compared to conventional radiography for idealized detection tasks.

Using protein microarray as a diagnostic assay for non-small cell lung cancer

RATIONALE

Phenotypic and genotypic heterogeneity of lung cancer likely precludes the identification of a single predictive marker and suggests the importance of identifying and measuring multiple markers.

OBJECTIVES

We describe the use of a fluorescent protein microarray to identify and measure multiple non-small cell lung cancer-associated antibodies and show how simultaneous measurements can be combined into a single diagnostic assay.

METHODS

T7 phage cDNA libraries of non-small cell lung cancer were first biopanned with plasma samples from normal subjects and patients with non-small cell lung cancer to enrich the component of tumor-associated proteins, and then applied to microarray slides. Two hundred twelve immunogenic phage-expressed proteins were identified from roughly 4,000 clones, using high-throughput screening with patient plasmas and assayed with 40 cancer and 41 normal plasma samples. Twenty patient and 21 normal plasma samples were randomly chosen and used for statistical determination of the predictive value of each putative marker. Statistical analysis identified antibody reactivity to seven unique phage-expressed proteins that were significantly different (p < 0.01) between patient and normal groups. The remaining 20 patient and 20 normal plasma samples were used as an independent test of the predictive ability of the selected markers.

MAIN RESULTS

Measurements of the 5 most predictive phage proteins were combined in a logistic regression model that achieved 90% sensitivity and 95% specificity in prediction of patient samples, whereas leave-one-out statistical analysis achieved 88.9% diagnostic accuracy among all 81 samples.

CONCLUSION

Our data indicate that antibody profiling is a promising approach that could achieve high diagnostic accuracy for non-small cell lung cancer.

Circulating tumour-derived DNA and RNA markers in blood: a tool for early detection, diagnostics, and follow-up?

BACKGROUND

Lung cancer is the most common cause of cancer death in developed countries. The prognosis is poor with only 10-15% of patients surviving 5 years after diagnosis. This dismal prognosis is attributed to the lack of efficient diagnostic methods for early detection and lack of successful treatment for metastatic disease. Within the last decade, rapid advances in molecular biology and radiology have provided a rational basis for improving early detection and patients' outcome. A non-invasive blood test effective in detecting preneoplastic changes or early lung cancer in high risk individuals has been perceived as a holy grail by cancer researchers.

METHODS

The introduction of polymerase chain reaction (PCR)-based technology in the late 1980s and its refinement over the last 10 years have allowed us to detect and quantify extremely small amounts of tumour-derived nucleic acids. This has led to an increased knowledge of the molecular pathogenesis of lung cancer and a basis for the use of DNA and RNA markers in blood for early cancer detection, diagnostics, and follow-up. Common genetic alterations in lung carcinogenesis are already well known. We reviewed published literature on DNA and RNA in plasma or serum in lung cancer patients up to 2004, with particular emphasis on reports published since 1995.

RESULTS

Twenty-two clinical studies have evaluating the role of DNA and RNA aberrations in the blood of lung cancer patients. A total of 1618 (range 10-163/study) cases and 595 (range 10-120/study) control cases were evaluated, and overall plasma/serum abnormalities were found in 43% (range 0-78%) of cases and 0.8% of healthy controls. For (1) total DNA and gene expression levels, 61% (range 53-71%) of cases and 0.9% of controls; (2) oncogene mutations, 16% (range 0-30%) and 0%; (3) microsatellite alterations, 46% (range 24-71%) and 21% (controls with non-malignant pulmonary disease); (4) promoter methylation, 42% (range 5-73%) and 0%; (5) tumour-related RNAs, 54% (range 39-78%) and 6%. In general, the studies contain small series of lung cancer patients and even smaller or missing case control groups.

CONCLUSION

The analysis of circulating DNA or RNA in plasma is a promising non-invasive diagnostic tool, requiring only a limited blood sample. Its wide applicability and potential importance will possibly lead to increasing clinical impact in the near future. However, large prospective clinical studies are needed to validate and standardise any tests for DNA or RNA alteration in plasma or serum of high risk individuals or patients with established lung cancer.

3p microsatellite alterations in exhaled breath condensate from patients with non-small cell lung cancer

The still-high mortality for lung cancer urgently requires the availability of new, noninvasive diagnostic tools for use in early diagnosis and screening programs. Recently, exhaled breath condensate (EBC) has been proposed as a useful tool to obtain biological information on lung cancer disease. This study provides, for the first time, evidence that DNA alterations already described in lung cancer are detectable in EBC from patients with non-small cell lung cancer (NSCLC) and in healthy subjects. Thirty patients with histologic evidence of NSCLC and 20 healthy subjects were enrolled in the present study. All subjects had allelotyping analysis of DNA from EBC (EBC-DNA) and from whole blood (WB-DNA) of a selected panel of five microsatellites (D3S2338, D3S1266, D3S1300, D3S1304, D3S1289) located in chromosomal region 3p. Results from healthy subjects and subjects with cancer, and from EBC and WB, were compared. In addition, the relationships with smoking habit and clinicopathologic tumor features were considered. Microsatellite alterations (MAs) were found in 53% of EBC-DNA and in 10% of WB-DNA loci investigated in patients with NSCLC (p < 10(-6)); conversely, MAs were present only in 13% of EBC-DNA and in 2% of WB-DNA informative loci in healthy subjects. In patients with NSCLC, a direct association between number of MAs detected in EBC-DNA and tobacco consumption was observed. We conclude that EBC-DNA is highly sensitive in detecting MA information unique to patients with lung cancer. Furthermore, MA information seems to be directly related with tobacco consumption, and is potentially applicable to screening and early diagnostic programs for patients with NSCLC.

Novel Strategies for the Early Detection and Prevention of Lung Cancer

Lung cancer is the leading cause of cancer death in the United States. Despite evidence of molecular abnormalities in biological specimens, progress in this disease is hampered by the lack of diagnostic markers useful for clinical practice. The majority of patients with lung cancer are still diagnosed at an advanced stage, when prognosis is poor. This article reviews new strategies being studied for the early detection of lung cancer. These strategies involve new methods of imaging (including low-dose computed tomography [CT] scanning), DNA analysis, and proteomic-based techniques. These strategies have not only improved our understanding of lung cancer but show promise in offering better survival to patients with this deadly disease. Of paramount importance in the search for methods of early detection is the need for the identification of the ideal population to screen, a multidisciplinary approach, and validation of promising techniques.

Aspects of computer-aided detection (CAD) and volumetry of pulmonary nodules using multislice CT

With the superb spatial resolution of modern multislice CT scanners and their ability to complete a thoracic scan within one breath-hold, software algorithms for computer-aided detection (CAD) of pulmonary nodules are now reaching high sensitivity levels at moderate false positive rates. A number of pilot studies have shown that CAD modules can successfully find overlooked pulmonary nodules and serve as a powerful tool for diagnostic quality assurance. Equally important are tools for fast and accurate three-dimensional volume measurement of detected nodules. These allow monitoring of nodule growth between follow-up examinations for differential diagnosis and response to oncological therapy. Owing to decreasing partial volume effect, nodule volumetry is more accurate with high resolution CT data. Several studies have shown the feasibility and robustness of automated matching of corresponding nodule pairs between follow-up examinations. Fast and automated growth rate monitoring with only few reader interactions also adds to diagnostic quality assurance.

Benchmarking Lung Cancer Mortality Rates in Current and Former Smokers

STUDY OBJECTIVES

To develop and validate a model for estimating the risk of lung cancer death in current and former smokers. The model is intended for use in analyzing a population of subjects who are undergoing lung cancer screening or receiving lung cancer chemoprevention, to determine whether the intervention has altered lung cancer mortality.

DESIGN/SETTING/PATIENTS

Model derivation was based on analyses of the placebo arm of the Carotene and Retinol Efficacy Trial. Model validation was based on analyses of three other longitudinal cohorts.

MEASUREMENTS

Observed and predicted number of deaths due to lung cancer.

RESULTS

In internal validation, the model was highly concordant and well calibrated. In external validation, the model predictions were similar to what was observed in all of the validation analyses. The predicted and observed deaths within 6 years were very similar when assessed in the Johns Hopkins Hospital trial of chest radiography and sputum cytology screening (176 predicted, 184 observed, p = 0.53), the Memorial Sloan-Kettering Cancer Center trial of chest radiography and sputum cytology screening (108 predicted, 114 observed, p = 0.57), and the National Health and Nutrition Evaluation Survey part I (24 predicted, 21 observed, p = 0.52).

CONCLUSIONS

The number of lung cancer deaths in a population of current or former smokers can be accurately predicted, making model-based evaluations of prevention and early detection interventions a useful adjunct to definitive randomized trials. We illustrate this potential use with a small example.

Lung cancers detected by screening with spiral computed tomography have a malignant phenotype when analyzed by cDNA microarray

PURPOSE

Spiral computed tomography (CT) can detect lung cancer at an early stage, but the malignant potential is unknown. The question is, as follows: do these small lesions have the same lethal potential as do symptomatic tumors?

EXPERIMENTAL DESIGN

We used a cDNA microarray platform and compared the gene expression profile of spiral CT-detected lung carcinomas with a matched case-control population of patients presenting with symptomatic lung cancer.

RESULTS

CT-detected and symptomatic tumors have shown a comparable gene expression profile. Correspondence analysis has demonstrated that nine genes were differentially expressed, although with a high variability across the samples that prevented distinguishing the two groups of tumors. Analysis of these nine genes has suggested that early-detected tumors have higher levels of retinoic acid production and higher expression levels of caveolin 2, matrix Gla, and cystatin A, which are already known to be lost during tumor progression.

CONCLUSIONS

All of the tumors observed are histologically malignant according to the WHO Classification. Early lung cancers that are detected by screening have a gene expression pattern similar to, but not identical to, that of symptomatic lung carcinomas.