Proteomic Approaches for Biomarker Panels in Cancer

Proteomic technologies remain the main backbone of biomarkers discovery in cancer. The continuous development of proteomic technologies also enlarges the bioinformatics domain, thus founding the main pillars of cancer therapy. The main source for diagnostic/prognostic/therapy monitoring biomarker panels are molecules that have a dual role, being both indicators of disease development and therapy targets.

Proteomic technologies, such as mass-spectrometry approaches and protein array technologies, represent the main technologies that can depict these biomarkers. Herein, we will illustrate some of the most recent strategies for biomarker discovery in cancer, including the development of immune-markers and the use of cancer stem cells as target therapy.

The challenges of proteomic biomarker discovery need new forms of cross-disciplinary conglomerates that will result in increased and tailored access to treatments for patients; diagnostic companies would benefit from the enhanced co-development of companion diagnostics and pharmaceutical companies.

In the technology optimization in biomarkers, immune assays are the leaders of discovery machinery.     

Next-Generation Genotoxicology: Using Modern Sequencing Technologies to Assess Somatic Mutagenesis and Cancer Risk

Mutations have a profound effect on human health, particularly through an increased risk of carcinogenesis and genetic disease. The strong correlation between mutagenesis and carcinogenesis has been a driving force behind genotoxicity research for more than 50 years. The stochastic and infrequent nature of mutagenesis makes it challenging to observe and to study. Indeed, decades have been spent developing increasingly sophisticated assays and methods to study these low-frequency genetic errors, in hopes of better predicting which chemicals may be carcinogens, understanding their mode of action, and informing guidelines to prevent undue human exposure. While effective, widely used genetic selection-based technologies have a number of limitations that have hampered major advancements in the field of genotoxicity. Emerging new tools, in the form of enhanced next-generation sequencing platforms and methods, are changing this paradigm. In this review, we discuss rapidly evolving sequencing tools and technologies, such as error-corrected sequencing and single cell analysis, which we anticipate will fundamentally reshape the field. In addition, we consider a variety emerging applications for these new technologies, including the detection of DNA adducts, inference of mutational processes based on genomic site and local sequence contexts, and evaluation of genome engineering fidelity, as well as other cutting-edge challenges for the next 50 years of environmental and molecular mutagenesis research. Environ. Mol. Mutagen. 61:135–151, 2020. © 2019 The Authors. Environmental and Molecular Mutagenesis published by Wiley Periodicals, Inc. on behalf of Environmental Mutagen Society.     

Perceptions of Cancer Risk,Cause, and Needs in Participants from Low Socioeconomic Background at Risk for Hereditary Cancer

The purpose of this study was to describe perceptions of cancer risk, cause, and needs in participants from a low socioeconomic background at risk for hereditary cancer. We surveyed 307 individuals with the Cancer Awareness and Needs survey and received 128 responses (41.6% response rate). Family history, genetics, and tobacco use were selected most frequently as a cause of cancer; 36% (n = 46) selected fate and/or God's will. A total of 87.5% (n = 112) understood that having a close family member with breast cancer could increase personal risk; however responses were varied when asked if this was related to risk for other cancers. Most participants had undergone cancer screening, half reported undergoing breast magnetic resonance imaging, which was associated with personal (p < 0.01) and family cancer history (p = 0.03). An additional 76.6% (n = 98) felt informed about cancer screening and most received information from health care providers and family or friends. Ensuring that patients and clinicians are educated about hereditary cancer risk, detection, and prevention should be priorities for future research.     

海南西部地区乳腺癌患者 BRCA1 / 2 基因突变状态分析

目的 不同的区域及种族的 BRCA1 / 2 基因突变频率差异较大, 着重分析海南西部地区乳腺癌患 者 BRCA1 / 2 基因的突变状态及对患者预后的影响。 方法 选取 2015 年 10 月 ~ 2020 年 12 月在海南西部中 心医院住院并确诊为原发性乳腺癌的 256 例患者为研究对象, 采用变性高效液相色谱法 ( denaturing high performance liquid chromatography, DHPLC) 筛查乳腺癌患者是否存在 BRCA1 / 2 基因突变, 分析 BRCA1 / 2 基 因突变状态及 BRCA1 / 2 基因突变患者的临床特征, 并随访分析患者 5 年生存情况, COX 回归分析影响患者 预后的因素。 结果 256 例乳腺癌患者中共检出 53 例患者发生 BRCA1 / 2 基因突变, 其中 BRCA1 突变率 12. 11 % (31 / 256), BRCA2 突变率 8. 59 % (22 / 256), 其中有害变异率为 7. 03 % (18 / 256)。 BRCA1 / 2 基 因突变患者家族病史、 妇科疾病史、 乳腺疾病史、 雌激素受体 (estrogen receptor, ER)、 原癌基因 (CerbB2) 蛋白阳性比例以及临床病理分级、 临床分期与未突变患者比较差异有统计学意义 (P< 0. 05)。 患者总 体生存率为 83. 59 % , BRCA1 / 2 基因突变者生存率低于未突变者 (P< 0. 05), COX 回归分析显示, BRCA1 / 2 基因突变、 乳腺疾病史、 临床分期、 CerbB-2 阳性、 CEA、 CA199 均是影响乳腺癌患者生存的危险因素 (P< 0. 05)。 结论 通过 DHPLC 可有效筛查海南西部地区乳腺癌患者 BRCA1 / 2 基因的有害变异, BRCA1 / 2 基因突变与临床病理特征及预后密切相关。     

Apolipoproteins as Differentiating and Predictive Markers for Assessing Clinical Outcomes in Patients with Small Cell Lung Cancer

PurposeThe present study aimed to investigate the value of apolipoproteins, including ApoA-1, ApoC-III, and ApoE, in patients with small cell lung cancer (SCLC) as potential biomarkers for diagnosis, prognosis, and cancer progression.ResultsExpression of ApoA-1 and ApoC-III in SCLC was significantly different, compared with that in NSCLC and normal lung tissues, and was correlated with recurrence of SCLC. Patients undergoing neoadjuvant chemotherapy before surgery showed significantly reduced expression of ApoA-1 and increased expression of ApoC-III and ApoE. Nevertheless, the expression levels of ApoA-1, ApoC-III, and ApoE were not correlated with SCLC staging.ConclusionApoA-1 and ApoC-III may be used as differentiating and predictive markers for SCLC. ApoA-1, ApoC-III, and ApoE may be used to monitor the efficacy of chemotherapy.     

Risk estimates from an online risk calculator are more believable and recalled better when expressed as integers

Background

Online risk calculators offer different levels of precision in their risk estimates. People interpret numbers in varying ways depending on how they are presented, and we do not know how the number of decimal places displayed might influence perceptions of risk estimates.

Objective

The objective of our study was to determine whether precision (ie, number of decimals) in risk estimates offered by an online risk calculator influences users’ ratings of (1) how believable the estimate is, (2) risk magnitude (ie, how large or small the risk feels to them), and (3) how well they can recall the risk estimate after a brief delay.

Methods

We developed two mock risk calculator websites that offered hypothetical percentage estimates of participants’ lifetime risk of kidney cancer. Participants were randomly assigned to a condition where the risk estimate value rose with increasing precision (2, 2.1, 2.13, 2.133) or the risk estimate value fell with increasing precision (2, 1.9, 1.87, 1.867). Within each group, participants were randomly assigned one of the four numbers as their first risk estimate, and later received one of the remaining three as a comparison.

Results

Participants who completed the experiment (N = 3422) were a demographically diverse online sample, approximately representative of the US adult population on age, gender, and race. Participants whose risk estimates had no decimal places gave the highest ratings of believability (F _3,3384 = 2.94, P = .03) and the lowest ratings of risk magnitude (F _3,3384 = 4.70, P = .003). Compared to estimates with decimal places, integer estimates were judged as highly believable by 7%–10% more participants (χ² ₃ =17.8, P < .001). When comparing two risk estimates with different levels of precision, large majorities of participants reported that the numbers seemed equivalent across all measures. Both exact and approximate recall were highest for estimates with zero decimals. Odds ratios (OR) for correct approximate recall (defined as being within 50% of the original estimate) were, for one decimal place, OR = 0.65 (95% CI 0.49–0.86), for two decimal places, OR = 0.70 (95% CI 0.53–0.94), and for three decimal places, 0.61 (95% CI 0.45–0.81). Exact recall showed a similar pattern, with larger effects.

Conclusions

There are subtle but measurable differences in how people interpret risk estimates of varying precision. Adding decimal places in risk calculators offers little to no benefit and some cost. Rounding to the nearest integer is likely preferable for communicating risk estimates via risk calculators so that they might be remembered correctly and judged as believable.     

Risk and risk assessment for breast cancer: molecular and clinical aspects

Chemoprevention, prophylactic surgery and intensified screening programs are options which can be offered the patients with an increased lifetime risk (p(life)) for breast cancer (BC). Estimation of p(life) includes BRCA mutation analysis and risk estimation based on individual risk factors and family history. MENDEL and BRCAPRO are models which can estimate mutation carrier status probability (p(mut)), p(life) and p(mut) can be estimated using Cyrillic3 software which incorporates BRCAPRO and MENDEL. To integrate age, hormonal factors and benign breast biopsies in risk assessment the Tyrer-Cuzick model can be used. These models support the decision pro or contra genetic analysis and improve the number of positive gene testing results. Estimations of p(life) and p(mut), based on a mathematical model, should deal with algorithms and penetrance/frequency data adequate to the population counselled. Being the main modulatory factors, reproductive/hormonal data should be incorporated like the Tyrer-Cuzick model does.     

Quantification of cancer driver mutations in human breast and lung DNA using targeted,error-corrected CarcSeq

There is a need for scientifically-sound, practical approaches to improve carcinogenicity testing. Advances in DNA sequencing technology and knowledge of events underlying cancer development have created an opportunity for progress in this area. The long-term goal of this work is to develop variation in cancer driver mutation (CDM) levels as a metric of clonal expansion of cells carrying CDMs because these important early events could inform carcinogenicity testing. The first step toward this goal was to develop and validate an error-corrected next-generation sequencing method to analyze panels of hotspot cancer driver mutations (hCDMs). The “CarcSeq” method that was developed uses unique molecular identifier sequences to construct single-strand consensus sequences for error correction. CarcSeq was used for mutational analysis of 13 amplicons encompassing >20 hotspot CDMs in normal breast, normal lung, ductal carcinomas, and lung adenocarcinomas. The approach was validated by detecting expected differences related to tissue type (normal vs. tumor and breast vs. lung) and mutation spectra. CarcSeq mutant fractions (MFs) correlated strongly with previously obtained ACB-PCR mutant fraction (MF) measurements from the same samples. A reconstruction experiment, in conjunction with other analyses, showed CarcSeq accurately quantifies MFs ≥10⁻⁴. CarcSeq MF measurements were correlated with tissue donor age and breast cancer risk. CarcSeq MF measurements were correlated with deviation from median MFs analyzed to assess clonal expansion. Thus, CarcSeq is a promising approach to advance cancer risk assessment and carcinogenicity testing practices. Paradigms that should be investigated to advance this strategy for carcinogenicity testing are proposed.     

Heightened Psychobiological Reactivity to Laboratory Stressors in Healthy Women at Familial Risk for Breast Cancer

This study examined the possibility that reactivity to acute stressors may be altered among women facing the chronic stress of being at familial risk for breast cancer. Sixteen healthy women with histories of breast cancer in their families (Risk Group) and 32 women at normal risk (Comparison Group) were exposed to 15 min of classic laboratory stressors. Seventeen women at normal risk were randomly assigned to nonstressful tasks (manipulation check). Self-reported distress, natural killer cell activity (NKCA), and NK cell numbers (percentage of CD3-CD16/56+ lymphocytes) were assessed before and after the tasks. Cardiovascular activity was assessed throughout the session. The tasks elicited increases in distress, heart rate, NKCA, and NK cells numbers in both experimental groups. Supporting study hypotheses, the Risk Group had larger increases in distress, heart rate, NKCA, and NK cell numbers. These findings raise the possibility that the chronic stress associated with familial cancer risk may have negative health consequences through changes in psychobiological reactivity.     

Population Prevalence,Cancer Risk,and Mortality Risk of Turner Syndrome in South Korean Women Based on National Health Insurance Service Data

PurposeIn South Korea, investigations into Turner syndrome (TS) prevalence and TS-associated cancer and mortality are lacking. Accurate data were estimated from the National Health Insurance Service (NHIS) and the Rare Diseases Registry (RDR) records.Materials and MethodsData on patients with TS who were registered in the RDR between 2007 and 2017 were collected. To estimate TS-associated cancer and mortality risk, the data were compared with data of 1:3 age-matched controls.ResultsIn 2017, 2054 patients with TS were identified from a total population of 26186952 South Korean women; therefore, the prevalence was 7.84 per 100000 persons. TS prevalence across 10-year interval age groups were 11.82, 23.17, 18.37, 10.49, 4.09, and 0.38 for age under 10 years, teenagers, 20s, 30s, 40s, and older than 50, respectively (per 100000 persons). The cancer risk in patients with TS was higher than that of age-matched controls over 5.3 person-years [hazard ratio (HR)=1.82, 95% confidence interval (CI) 1.01–3.27, p=0.045]. Among different types of cancer, thyroid cancer risk in patients with TS was significantly higher than that of age-matched controls (HR=2.78, 95% CI 1.06–7.26, p=0.037). We also observed that TS-associated all-cause mortality risk was higher than that of age-matched controls (HR=3.36, 95% CI 1.59–7.10, p=0.002).ConclusionNational prevalence of TS was suggested, and an increased risk of TS-associated thyroid cancer and mortality were observed in this study.     

Knowledge About Genetic Risk for Breast Cancer and Perceptions of Genetic Testing in a Sociodemographically Diverse Sample

Informed consent for genetic testing for breast–ovarian cancer susceptibility requires that women understand basic concepts about the inheritance of cancer susceptibility and the benefits and risks associated with genetic testing. Women awaiting routine medical services (N = 220) were surveyed about their knowledge of breast cancer and cancer genetics and their perceptions of genetic testing and personal risk. There were no racial differences in median income or mean level of education. Compared to Caucasian women, African American women knew significantly less about breast cancer and about genetic risk for breast cancer. African American women had different psychological, social, and economic concerns as evidenced by how they weighted the benefits and risks of genetic testing. This study is the first to assess several dimensions of informed consent for genetic testing among a sociodemographically diverse group. The findings should enable health professionals to target the African American and lower-income populations with the appropriate education and counseling.     

“Low-risk” and “High-risk” HPV-infection and K-ras Gene Point Mutations in Human Cervical Cancer: A Study of 31 Cases

To analyze the coexistence of human papilloma virus (HPV) infection and K-ras gene activation in cervical neoplasia, we investigated 31 (seven pre-invasive and 24 invasive) cervical carcinomas for “low-risk” (types 6 and 11) and “high-risk” (types 16 and 18) HPVs and K-ras point mutations using PCR-based technology. “Low-risk” HPVs were not detected in the group investigated; however, 20 of 31 (64%) cases were HPV 16 positive, while HPV 18 was found in only three (9.7%) samples (HPV 6/11 v. HPV 16/18, p < 0.0001; HPV 16 v. HPV 18, p < 0.0001; Fisher's exact test). There was a K-ras codon 12 point mutation in two of 31 (6.4%) neoplasms, with none of the cases showing a K-ras codon 13 point mutation. Two moderately differentiated squamous carcinomas showed K-ras exon 2 gene alterations. Interestingly, none of the pre-invasive cervical carcinomas displayed K-ras gene point mutations. The mean patient age did not differ significantly in the number of HPV-positive and -negative cases. A coexistence of “high-risk” human papillomavirus DNA with K-ras gene alterations was observed in three of 31 (9.7%) neoplasms (one IIA and two IB moderately differentiated cervical carcinomas). Our results suggest that “high-risk” HPVs coexist with K-ras gene alterations in a subset of moderately differentiated carcinomas of the cervix uteri.     

Spectrum of Mutations in BRCA1 Gene in Hereditary Forms of Breast and Ovarian Cancer in Russian Families

The 5382insC mutation predominated (94%) in the spectrum of detected mutations of BRCA1 gene. High incidence of this mutation in familial breast cancer detected for the first time attested to origination of 5382insC mutation from the European part of Russia. The percentage of families with mutations in BRCA1 gene and familial predisposition to ovarian cancer was significantly higher than in hereditary predisposition to breast cancer (p<0.007). These data suggest that clinical manifestation of the mutation depends on genotypical factors other than the position of this mutation in BRCA1 gene. The results prompt screening for hereditary predisposition to these diseases.     

Why Breast Cancer Risk by the Numbers Is Not Enough: Evaluation of a Decision Aid in Multi-Ethnic,Low-Numerate Women

BackgroundBreast cancer risk assessment including genetic testing can be used to classify people into different risk groups with screening and preventive interventions tailored to the needs of each group, yet the implementation of risk-stratified breast cancer prevention in primary care settings is complex.ObjectiveTo address barriers to breast cancer risk assessment, risk communication, and prevention strategies in primary care settings, we developed a Web-based decision aid, RealRisks, that aims to improve preference-based decision-making for breast cancer prevention, particularly in low-numerate women.MethodsRealRisks incorporates experience-based dynamic interfaces to communicate risk aimed at reducing inaccurate risk perceptions, with modules on breast cancer risk, genetic testing, and chemoprevention that are tailored. To begin, participants learn about risk by interacting with two games of experience-based risk interfaces, demonstrating average 5-year and lifetime breast cancer risk. We conducted four focus groups in English-speaking women (age ≥18 years), a questionnaire completed before and after interacting with the decision aid, and a semistructured group discussion. We employed a mixed-methods approach to assess accuracy of perceived breast cancer risk and acceptability of RealRisks. The qualitative analysis of the semistructured discussions assessed understanding of risk, risk models, and risk appropriate prevention strategies.ResultsAmong 34 participants, mean age was 53.4 years, 62% (21/34) were Hispanic, and 41% (14/34) demonstrated low numeracy. According to the Gail breast cancer risk assessment tool (BCRAT), the mean 5-year and lifetime breast cancer risk were 1.11% (SD 0.77) and 7.46% (SD 2.87), respectively. After interacting with RealRisks, the difference in perceived and estimated breast cancer risk according to BCRAT improved for 5-year risk (P=.008). In the qualitative analysis, we identified potential barriers to adopting risk-appropriate breast cancer prevention strategies, including uncertainty about breast cancer risk and risk models, distrust toward the health care system, and perception that risk assessment to pre-screen women for eligibility for genetic testing may be viewed as rationing access to care.ConclusionsIn a multi-ethnic population, we demonstrated a significant improvement in accuracy of perceived breast cancer risk after exposure to RealRisks. However, we identified potential barriers that suggest that accurate risk perceptions will not suffice as the sole basis to support informed decision making and the acceptance of risk-appropriate prevention strategies. Findings will inform the iterative design of the RealRisks decision aid.     

Earliest Bedside Assessment of Hemodynamic Parameters and Cardiac Biomarkers: Their Role as Predictors of Adverse Outcome in Patients with Septic Shock

Background: Early assessment and aggressive hemodynamic treatment have been shown to increase the survival of patients in septic shock. Current and past sepsis guidelines recommend a resuscitation protocol including central venous pressure (CVP), mean arterial blood pressure (MAP), urine output and central venous oxygen saturation (ScvO₂) for resuscitation within the first six hours. Currently, the established severity score systems like APACHE II score, SOFA score or SAPS II score predict the outcome of critically ill patients on the bases of variables obtained only after the first 24 hours. The present study aims to evaluate the risk of short-term mortality for patients with septic shock by the earliest possible assessment of hemodynamic parameters and cardiac biomarkers as well as their role for the prediction of the adverse outcome.Methods: 52 consecutive patients treated for septic shock in the intensive care unit of one centre (Marien Hospital Herne, Ruhr University Bochum, Germany) were prospectively enrolled in this study. Hemodynamic parameters (MAP, CVP, ScvO₂, left ventricular ejection fraction, Hematocrit) and cardiac biomarkers (Troponin I) at the ICU admission were evaluated in regard to their influence on mortality. The primary endpoint was all-cause mortality within 28 days after the admission.Results: A total of 52 patients (31 male, 21 female) with a mean age of 71.4±8.5 years and a mean APACHE II score of 37.0±7.6 were enrolled in the study. 28 patients reached the primary endpoint (mortality 54%). Patients presenting with hypotension (MAP <65 mmHg) at ICU admission had significantly higher rates of 28-day mortality as compared with the group of patients without hypotension (28-day mortality rate 74 % vs. 32 %, p<0.01). Furthermore, the patients in the hypotension present group had significantly higher lactate concentration (p=0.002), higher serum creatinin (p=0.04), higher NTproBNP (p=0.03) and after the first 24 hours higher APACHE II scores (p=0.04). A MAP <65 mmHg was the only hemodynamic parameter significantly predicting the primary endpoint (OR: 4.1, CI: 1.1 - 14.8, p=0.008), whereas the remaining hemodynamic variables CVP, ScvO₂, Hematocrit, Troponin I and left ventricular ejection fraction (LVEF) seemed to have no influence on survival. Besides, non-survivors had a significantly higher age (74.1±9.0 vs. 68.4±6.9, p=0.01). If hypotension coincided with an age ≥72 years, the 28-day mortality rate escalated to 88%.Conclusions: In our study, we identified a risk group with an exceedingly high mortality rate: the patients with an age ≥72 years and presenting with hypotension (MAP <65 mmHg). These data can be easily obtained at the time of the very first patient contact. As a result, an aggressive and a more effective treatment can be initiated within the first minutes of the primary care, possibly reducing organ failure and short-term mortality in this risk group.     

Interleukin-1β Gene (IL1B) Polymorphism and Risk of Developing Diabetic Nephropathy

Objective: Cytokines play an important role in the pathogenesis of type 2 diabetes (T2DM) and its complications. The aim of the study was to evaluate an association of the ?511 (C/T) polymorphism in the IL1B gene with diabetic nephropathy (DN).

Methods: The study population included 860 patients with T2DM (506 with diabetic nephropathy and 354 without nephropathy) as well as 505 healthy individuals. Genomic DNA was genotyped for the IL1B ?511 (C/T) polymorphism using PCR-RFLP technique.

Results: The IL1B ?511 C/T polymorphism was genotyped in 860 T2DM patients with or without DN and 505 healthy individuals. The average age of patients was 65.3 years in DN+ and 62.2 years in DN- subgroups. The genotype distribution did not differ significantly between patients and controls. Only a tendency to a slight increase of T allele frequency was observed in patient group. Genotype and allele frequencies of ?511 C/T polymorphism were compared in patients with DN and those without it. The minor allele (T) and homozygote TT frequencies were significantly different between subgroups. The T allele was more frequent in DN+ patients, with odds ratio 1.45 (95% CI 1.2–1.8), p = 0.0003. The TT genotype frequency was also higher in DN+, with OR 1.76 (96% CI 1.1–2.7), p = 0.01.

Conclusion: In a studied population the ?511 C/T polymorphism in the IL1B gene is associated with diabetic nephropathy in dialyzed T2DM patients. Further studies are required to confirm the clinical significance of this finding.     

Power Spectral Analysis of Mammographic Parenchymal Patterns for Breast Cancer Risk Assessment

PURPOSE: The purpose of the study was to evaluate the usefulness of power law spectral analysis on mammographic parenchymal patterns in breast cancer risk assessment. MATERIALS AND METHODS: Mammograms from 172 subjects (30 women with the BRCA1/BRCA2 gene mutation and 142 low-risk women) were retrospectively collected and digitized. Because age is a very important risk factor, 60 low-risk women were randomly selected from the 142 low-risk subjects and were age matched to the 30 gene mutation carriers. Regions of interest were manually selected from the central breast region behind the nipple of these digitized mammograms and subsequently used in power spectral analysis. The power law spectrum of the form P(f) = B/f(beta) was evaluated for the mammographic patterns. The performance of exponent beta as a decision variable for differentiating between gene mutation carriers and low-risk women was assessed using receiver operating characteristic analysis for both the entire database and the age-matched subset. RESULTS: Power spectral analysis of mammograms demonstrated a statistically significant difference between the 30 BRCA1/BRCA2 gene mutation carriers and the 142 low risk women with an average beta values of 2.92 (+/-0.28) and 2.47(+/-0.20), respectively. An A (z) value of 0.90 was achieved in distinguishing between gene mutation carriers and low-risk women in the entire database, with an A (z) value of 0.89 being achieved on the age-matched subset. CONCLUSIONS: The BRCA1/BRCA2 gene mutation carriers and low-risk women have different mammographic parenchymal patterns. It is expected that women identified as high risk by computerized feature analyses might potentially be more aggressively screened for breast cancer.     

Risk Factors for Major Adverse Events of Video-Assisted Thoracic Surgery Lobectomy for Lung Cancer

Aims: The purpose of this study was to identify the risk factors for major adverse events of VATS (Video-Assisted Thoracic Surgery) lobectomy for primary lung cancer.Methods: 1806 Patients (1032 males, 57.1%) planned to undergo VATS lobectomy for stage IA-IIIA lung cancer from July 2007 to June 2012. The Thoracic Morbidity and Mortality Classification TM&M system was used to evaluate the presence and severity of complications. Postoperative complications were observed during a 30-day follow up. Univariate and multivariate analysis were used to analyze the independent risk factors for major adverse events.Results: Successful rate of VATS lobectomy was 97.6% (1763/1806). Major complications occurred in 129 patients (7.3%), with a mortality of 0.3% (5/1763). Pulmonary complications contribute up to 90.7% of the major complications and 80% of mortality. Logistic regression indicated that comorbidities, elder age ≥70y, operative time ≥240min and hybrid VATS were predictors for major adverse events (P<0.05). Hybrid and converted VATS lobectomy result in higher major adverse events compared with complete VATS, 15.1%, 20.9% and 7.4% respectively (P=0.013).Conclusions: The overall complication rate and mortality of VATS lobectomy are low, while major complications sometimes occur. Pulmonary complications are the most common major complications and cause of mortality. Age ≥70y, comorbidities, operative time ≥240min and Hybrid VATS are predictors of major adverse events.