Postdiagnosis BMI Change Is Associated with Non-Small Cell Lung Cancer Survival

BACKGROUND

Body mass index (BMI) change after a lung cancer diagnosis has been associated with non-small cell lung cancer (NSCLC) survival. This study aimed to quantify the association based on a large-scale observational study.

METHODS

Included in the study were 7,547 patients with NSCLC with prospectively collected BMI data from Massachusetts General Hospital and Brigham and Women's Hospital/Dana-Farber Cancer Institute. Cox proportional hazards regression with time-dependent covariates was used to estimate effect of time-varying postdiagnosis BMI change rate (% per month) on overall survival (OS), stratified by clinical subgroups. Spline analysis was conducted to quantify the nonlinear association. A Mendelian Randomization (MR) analysis with a total of 3,495 patients further validated the association.

RESULTS

There was a J-shape association between postdiagnosis BMI change and OS among patients with NSCLC. Specifically, a moderate BMI decrease [0.5-2.0; HR = 2.45; 95% confidence interval (CI), 2.25-2.67] and large BMI decrease (≥2.0; HR = 4.65; 95% CI, 4.15-5.20) were strongly associated with worse OS, whereas moderate weight gain (0.5-2.0) reduced the risk for mortality (HR = 0.78; 95% CI, 0.68-0.89) and large weight gain (≥2.0) slightly increased the risk of mortality without reaching statistical significance (HR = 1.10; 95% CI, 0.86-1.42). MR analyses supported the potential causal roles of postdiagnosis BMI change in survival.

CONCLUSIONS

This study indicates that BMI change after diagnosis was associated with mortality risk.

IMPACT

Our findings, which reinforce the importance of postdiagnosis BMI surveillance, suggest that weight loss or large weight gain may be unwarranted.

Abstract 761: Body composition and overall survival in esophageal cancer patients

Aim: We studied body composition throughout the first year after diagnosis and its association with overall survival (OS) among esophageal cancer patients.

Methods: We utilized clinical abdominal computerized tomography (CT) scans from esophageal adenocarcinoma (EA) and squamous cell carcinoma (SCC) patients, who were diagnosed between 1999 and 2018 and enrolled in an ongoing study at Massachusetts General Hospital. A deep learning based automated segmentation of each CT at the L3 slice to obtain muscle (MA), subcutaneous adiposity tissue (SAT), and visceral adiposity tissue (VAT). These measures were normalized by age-, sex-, and race using a published cohort of non-cancer patient CT body composition database. We defined baseline sarcopenia using the Martin et. al. 2013 cut points. Among available scans, we obtained HRs for body composition metrics throughout the first year after diagnosis (3-6 months, 6-9 months, 9-12 months) using conditional follow-up and time-varying metrics. We obtained OS hazard ratios (HR) for pre-treatment baseline metrics using an extended cox proportional hazard model. Multivariable models included smoking status, histology, chemotherapy, radiation, and time-dependent surgery as covariates, and baseline hazards were stratified by lymph node status at diagnosis (lymph node negative, lymph node positive, and metastatic). We performed additional sensitivity baseline analyses restricting to EA patients, patients who received trimodality therapy, and stratified by lymph node status.

Results: 251 patients (80.9% EA) had pre-treatment CT scans, and 438 patients (85.4% EA) had at least one CT scan throughout the first year after diagnosis. In the complete cohort, normalized baseline body composition measures and sarcopenia were not associated with OS in the univariable or multivariable analyses. Among EA only, baseline MA was associated with longer survival (HR: 0.85 per standard deviation increase; 95% CI 0.73-0.99; p=0.04). 3-6 months after diagnosis (N=206 patients), higher normalized MA, SAT, and VAT were all significantly associated (p<0.04) with longer survival. The association between SAT and OS remained consistent in the first year after diagnosis, but VAT was not associated with OS >6 months after diagnosis. The strongest association was 9-12 months after diagnosis (N=131), where a standard deviation increase in MA was associated with 0.56 hazard of death (95%CI 0.42-0.75; p<0.001).

Conclusions: Muscle area in the first year after diagnosis is strongly associated with survival in esophageal cancer. Since associations were strongest during and after treatment, directionality of this association is uncertain, and we will investigate additional factors to determine the clinical utility of these associations.

Citation Format: Elizabeth Loehrer, Jakob Weiss, Raymond H. Mak, Junwei Lu, Andrea Shafer, Michael H. Rosenthal, Hugo J. Aerts, David C. Christiani. Body composition and overall survival in esophageal cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 761.

Serum Levels of 25-Hydroxyvitamin D at Diagnosis Are Not Associated with Overall Survival in Esophageal Adenocarcinoma

BACKGROUND

Higher levels of circulating 25-hydroxyvitamin D [25(OH)D] are associated with longer survival in several cancers, but the results have differed across cancer sites. The association between serum 25(OH)D levels and overall survival (OS) time in esophageal adenocarcinoma remains unclear.

METHODS

We utilized serum samples from 476 patients with primary esophageal adenocarcinoma, recruited from Massachusetts General Hospital (Boston, MA) between 1999 and 2015. We used log-rank tests to test the difference in survival curves across quartiles of 25(OH)D levels and extended Cox modeling to estimate adjusted HRs. We tested for interactions between clinical stage or BMI on the association between 25(OH)D and OS. We additionally performed sensitivity analyses to determine whether race or timing of blood draw (relative to treatment) affected these results.

RESULTS

We found no evidence that survival differed across quartiles of 25(OH)D (log rank P = 0.48). Adjusting for confounders, we found no evidence that the hazard of death among the highest quartile of 25(OH)D (quartile 1) differed from any other quartile [quartile 2 HR = 0.90, 95% confidence interval (CI), 0.67-1.23; quartile 3 HR = 1.03, 95% CI, 0.76-1.38; quartile 4 (lowest) HR = 0.98, 95% CI, 0.72-1.33]. Sensitivity analyses yielded consistent results when accounting for race or time between diagnosis and blood draw. Moreover, we did not find evidence of interaction between 25(OH)D and clinical stage or BMI on OS.

CONCLUSIONS

Serum level of 25(OH)D near time of diagnosis was not associated with OS in patients with esophageal adenocarcinoma.

IMPACT

Screening 25(OH)D levels among patients with esophageal adenocarcinoma at diagnosis is not clinically relevant to their cancer prognosis based on present evidence.

Abstract 247: Molecular markers of the vitamin D pathway and esophageal adenocarcinoma survival

We investigated the potential prognostic association between vitamin D levels (25-Hydroxyvitamin D [25(OH)D]) and vitamin D pathway single nucleotide polymorphisms (SNPs) with overall survival (OS) in esophageal adenocarcinoma (EA) patients. EA patients were recruited from Massachusetts General Hospital near the time of their diagnosis between 1999 and 2016. At the time of recruitment, patients completed a baseline questionnaire and provided blood and serum samples. Serum 25(OH)D levels were measured using radioimmunoassay and adjusted for month of blood draw. Genotypes for 48 tag SNPs from seven candidate genes in the vitamin D pathway (GC, CYP2R1, CYP27A1, CYP27B1, CYP24A1, VDR and RXRA) were determined from whole blood DNA. For survival outcomes, we used log-rank test and a multivariable extended Cox model to estimate adjusted hazard ratio (HR) of death. HR models for each SNP were restricted to patients who identified as White and adjusted for age, sex, smoking status, diagnosis year, and treatment, stratifying baseline hazard by clinical stage and modeling surgical resection as a time-dependent covariate. HR models by quartiles 25(OH)D, additionally adjusted for body mass index (BMI), and timing of blood draw. Our analyses included EA patients with complete information on relevant confounders and predictors of OS. The 25(OH)D analysis included 463 EA patients and 337 deaths, with median follow-up of 23.1 months. The mean 25(OH)D level at diagnosis was 20.7 ng/mL. We found no evidence that OS curves differed across quartiles of vitamin D (log rank p=0.83). In the adjusted extended cox model, we found no difference in OS among the highest quartile and quartiles 2-4 (respectively, HR (95% confidence interval), 0.95 (0.70, 1.31), 1.03 (0.76,1.39), 1.01 (0.73, 1.38), global p=0.97). We did not find evidence of interaction between 25(OH)D and clinical stage (p=0.88) or BMI (p=0.43) on OS, and this relationship did not differ by timing of blood draw. Preliminary SNP analysis included 424 EA patients and 305 deaths, with median follow-up of 24.1 months. Two SNPs in CYP24A1 (SNP, HR (95% confidence interval) per minor allele: rs1570669, 1.23 (1.04-1.45); rs927650, 1.22 (1.04-1.44)), two SNPs in GC (rs4588, 1.25(1.04-1.49); rs7041, 0.84(0.71-0.99)), and one SNP in RXRA (rs7039190, 1.57(1.06, 2.31)) were marginally associated with OS in the multivariable survival model. SNPs were not statistically significant after adjusting p-value for multiple testing. Based on the available evidence from our analyses, markers in the vitamin D pathway at the time of diagnosis are not clinically relevant markers of EA survival.

Citation Format: Elizabeth Loehrer, Rebecca Betensky, Ruyang Zhang, Li Su, Edward Giovannucci, David Christiani. Molecular markers of the vitamin D pathway and esophageal adenocarcinoma survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 247.

Abstract LB-159: A multi-omic study reveals BTG2 as a reliable prognostic marker for early-stage non-small cell lung cancer

Background B-cell translocation gene 2 (BTG2), which functions as a tumor suppress gene, has been reported to be involved in several cancers. However, no study has focused on its role in lung cancer progression or prognosis. We aimed to investigate the role of BTG2 in early-stage non-small cell lung cancer (NSCLC) survival.

Patients and methods This study included 1,230 early-stage (1-2) surgically treated NSCLC patients with methylation and expression data from five international cohorts. We built a prognostic model based on methylation. Then, we explored BTG2 expression and NSCLC survival in 3,038 cases, including the above-mentioned cohorts as well as 17 extended public datasets by meta-analysis. Further, we integrated the clinical information, expression, and methylation to build an integration model and evaluated its prediction ability for 5-year survival.

Results Three risk CpG probes (cg01798157, cg06373167, cg23371584) were associated with overall survival. The prognostic model could distinguish patient survival in the four cohorts [hazard ratio (HR) range, 1.51 to 2.21] and the independent validation set (HR = 1.85). In the expression analysis, BTG2 acted as a tumor-suppress gene in each cohort (HR range, 0.28 to 0.68). A meta-analysis showed high BTG2 expression was associated with better survival (HR = 0.61, 95%CI: 0.54-0.68). The three CpG probes were all negatively correlated with BTG2 expression. Additionally, the integration model showed a better prediction ability in the training set [area under the curve (AUC) = 0.78] and the validation set (AUC = 0.77). The integrated signature showed a better predictive ability among cases with adjuvant therapy (AUC = 0.85). In addition, 17 miRNAs including miR-21 and miR-23a were associated with BTG2 expression and survival.

Conclusions: methylation and integrated prognostic signatures of BTG2 are stable and reliable biomarkers for early-stage NSCLC. These markers may have new applications for appropriate clinical adjuvant trials and personalized treatments in the future.

Citation Format: Sipeng Shen, Li Su, Ruyang Zhang, Elizabeth Loehrer, Michael Lanuti, Nancy Diao, David Christiani. A multi-omic study reveals BTG2 as a reliable prognostic marker for early-stage non-small cell lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr LB-159.

Analysis of shared heritability in common disorders of the brain

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.

A multi-omic study reveals BTG2 as a reliable prognostic marker for early-stage non-small cell lung cancer

B-cell translocation gene 2 (BTG2) is a tumour suppressor protein known to be downregulated in several types of cancer. In this study, we investigated a potential role for BTG2 in early-stage non-small cell lung cancer (NSCLC) survival. We analysed BTG2 methylation data from 1230 early-stage NSCLC patients from five international cohorts, as well as gene expression data from 3038 lung cancer cases from multiple cohorts. Three CpG probes (cg01798157, cg06373167, cg23371584) that detected BTG2 hypermethylation in tumour tissues were associated with lower overall survival. The prognostic model based on methylation could distinguish patient survival in the four cohorts [hazard ratio (HR) range, 1.51-2.21] and the independent validation set (HR = 1.85). In the expression analysis, BTG2 expression was positively correlated with survival in each cohort (HR range, 0.28-0.68), which we confirmed with meta-analysis (HR = 0.61, 95% CI 0.54-0.68). The three CpG probes were all negatively correlated with BTG2 expression. Importantly, an integrative model of BTG2 methylation, expression and clinical information showed better predictive ability in the training set and validation set. In conclusion, the methylation and integrated prognostic signatures based on BTG2 are stable and reliable biomarkers for early-stage NSCLC. They may have new applications for appropriate clinical adjuvant trials and personalized treatments in the future.

Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine

Migraine is a debilitating neurological disorder affecting around one in seven people worldwide, but its molecular mechanisms remain poorly understood. There is some debate about whether migraine is a disease of vascular dysfunction or a result of neuronal dysfunction with secondary vascular changes. Genome-wide association (GWA) studies have thus far identified 13 independent loci associated with migraine. To identify new susceptibility loci, we carried out a genetic study of migraine on 59,674 affected subjects and 316,078 controls from 22 GWA studies. We identified 44 independent single-nucleotide polymorphisms (SNPs) significantly associated with migraine risk (P < 5 × 10(-8)) that mapped to 38 distinct genomic loci, including 28 loci not previously reported and a locus that to our knowledge is the first to be identified on chromosome X. In subsequent computational analyses, the identified loci showed enrichment for genes expressed in vascular and smooth muscle tissues, consistent with a predominant theory of migraine that highlights vascular etiologies.

Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group

The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.

Kidney Function and Cerebral Blood Flow: The Rotterdam Study

CKD is linked with various brain disorders. Whereas brain integrity is dependent on cerebral perfusion, the association between kidney function and cerebral blood flow has yet to be determined. This study was performed in the framework of the population-based Rotterdam Study and included 2645 participants with mean age of 56.6 years (45% men). We used eGFR and albumin-to-creatinine ratio to assess kidney function and performed phase-contrast magnetic resonance imaging of basilar and carotid arteries to measure cerebral blood flow. Participants had an average (SD) eGFR of 86.3 (13.4) ml/min per 1.73 m(2) and a median (interquartile range) albumin-to-creatinine ratio of 3.4 (2.2-6.1) mg/g. In age- and sex-adjusted models, a higher albumin-to-creatinine ratio was associated with lower cerebral blood flow level (difference in cerebral blood flow [milliliters per minute per 100 ml] per doubling of the albumin-to-creatinine ratio, -0.31; 95% confidence interval, -0.58 to -0.03). The association was not present after adjustment for cardiovascular risk factors (P=0.10). Each 1 SD lower eGFR was associated with 0.42 ml/min per 100 ml lower cerebral blood flow (95% confidence interval, 0.01 to 0.83) adjusted for cardiovascular risk factors. Thus, in this population-based study, we observed that lower eGFR is independently associated with lower cerebral blood flow.

Migraine and cerebral blood flow in the general population

INTRODUCTION

Observations that migraine increases risk of cardiovascular disease and ischemic brain changes may suggest sustained vascular differences between migraineurs and controls. In a population-based setting, we compared cerebral blood flow between migraineurs in the attack-free period and controls.

METHODS

Between 2006 and 2008, 2642 participants, aged 45-65, from the Rotterdam Study completed a migraine questionnaire and had complete usable MRI data. Participants were classified into controls (N = 2033), probable migraine (N = 153), or migraine (N = 456). Using 2D phase contrast MRI, we performed a cross-sectional analysis of the effect of migraine on total cerebral blood flow (tCBF), parenchymal cerebral blood flow (pCBF), and blood flow in each intracranial arterial using linear regression. Additionally, we performed stratified analysis of subtypes of migraine.

RESULTS

Compared with controls, migraineurs had higher pCBF (1.07 ml/min/100 ml, 95% CI 0.08; 2.05). In particular, migraineurs had significantly higher blood flow in the basilar artery (4.70 ml/min, 95% CI 0.77; 8.62).

DISCUSSION

Migraineurs in the attack-free period have higher pCBF, particularly basilar artery flow, compared to controls, supporting the notion of sustained vascular differences between these groups outside of migraine attacks.

Resistance to CDK2 inhibitors is associated with selection of polyploid cells in CCNE1-amplified ovarian cancer

PURPOSE

Amplification of cyclin E1 (CCNE1) is associated with poor outcome in breast, lung, and other solid cancers, and is the most prominent structural variant associated with primary treatment failure in high-grade serous ovarian cancer (HGSC). We have previously shown that CCNE1-amplified tumors show amplicon-dependent sensitivity to CCNE1 suppression. Here, we explore targeting CDK2 as a novel therapeutic strategy in CCNE1-amplified cancers and mechanisms of resistance.

EXPERIMENTAL DESIGN

We examined the effect of CDK2 suppression using RNA interference and small-molecule inhibitors in SK-OV-3, OVCAR-4, and OVCAR-3 ovarian cancer cell lines. To identify mechanisms of resistance, we derived multiple, independent resistant sublines of OVCAR-3 to CDK2 inhibitors. Resistant cells were extensively characterized by gene expression and copy number analysis, fluorescence-activated cell sorting profiling and conventional karyotyping. In addition, we explored the relationship between CCNE1 amplification and polyploidy using data from primary tumors.

RESULTS

We validate CDK2 as a therapeutic target in CCNE1-amplified cells by showing selective sensitivity to suppression, either by gene knockdown or using small-molecule inhibitors. In addition, we identified two resistance mechanisms, one involving upregulation of CDK2 and another novel mechanism involving selection of polyploid cells from the pretreatment tumor population. Our analysis of genomic data shows that polyploidy is a feature of cancer genomes with CCNE1 amplification.

CONCLUSIONS

These findings suggest that cyclinE1/CDK2 is an important therapeutic target in HGSC, but that resistance to CDK2 inhibitors may emerge due to upregulation of CDK2 target protein and through preexisting cellular polyploidy.

Apolipoprotein E genotype influences spatial distribution of cerebral microbleeds

In cerebral amyloid angiopathy patients, microbleeds often cluster, mostly occipital, and are associated with apolipoprotein E (APOE) genotype. Microbleeds also frequently occur in the asymptomatic, general population. In this population, we investigated spatial distribution of microbleeds and whether this is influenced by APOE genotype. In 292 persons with microbleeds, we labeled microbleeds on baseline and follow-up magnetic resonance images. We calculated distance between incident and prevalent microbleeds within and between persons and performed lobar segmentation on the magnetic resonance images. Subsequently, we investigated proximity and lobar distribution in strata of APOE genotype. Microbleeds occurred closer within persons than between persons (-42.2 mm, 95% confidence interval, -44.6 to -39.9; p < 0.001). Microbleeds within APOE ε2 and ε4 carriers occurred closer than those in persons with ε3ε3 genotype (-11.9 mm, 95% confidence interval, -24.4 to 0.6; p = 0.06). Persons with ε2 and ε4 alleles had a larger proportion of microbleeds in the occipital lobe than persons with ε3ε3 genotype. Similar to cerebral amyloid angiopathy patients, microbleeds in the general population cluster and the distribution is affected by APOE genotype.

LRP1B deletion in high-grade serous ovarian cancers is associated with acquired chemotherapy resistance to liposomal doxorubicin

High-grade serous cancer (HGSC), the most common subtype of ovarian cancer, often becomes resistant to chemotherapy, leading to poor patient outcomes. Intratumoral heterogeneity occurs in nearly all solid cancers, including ovarian cancer, contributing to the development of resistance mechanisms. In this study, we examined the spatial and temporal genomic variation in HGSC using high-resolution single-nucleotide polymorphism arrays. Multiple metastatic lesions from individual patients were analyzed along with 22 paired pretreatment and posttreatment samples. We documented regions of differential DNA copy number between multiple tumor biopsies that correlated with altered expression of genes involved in cell polarity and adhesion. In the paired primary and relapse cohort, we observed a greater degree of genomic change in tumors from patients that were initially sensitive to chemotherapy and had longer progression-free interval compared with tumors from patients that were resistant to primary chemotherapy. Notably, deletion or downregulation of the lipid transporter LRP1B emerged as a significant correlate of acquired resistance in our analysis. Functional studies showed that reducing LRP1B expression was sufficient to reduce the sensitivity of HGSC cell lines to liposomal doxorubicin, but not to doxorubicin, whereas LRP1B overexpression was sufficient to increase sensitivity to liposomal doxorubicin. Together, our findings underscore the large degree of variation in DNA copy number in spatially and temporally separated tumors in HGSC patients, and they define LRP1B as a potential contributor to the emergence of chemotherapy resistance in these patients.