Consequences of Late-Stage Non–Small-Cell Lung Cancer Cachexia on Muscle Metabolic Processes

Murton, Andrew J.; Maddocks, Matthew; Stephens, Francis B.; Marimuthu, Kanagaraj; England, Ruth; Wilcock, Andrew

doi:10.1016/j.cllc.2016.06.003

Cited by 23 publications

(34 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Somatic mutations in the DDR2 kinase gene were also indicated as the potential targets for the treatment of a portion of patients with LSCC ( 20 , 22 ). These results reflected the heterogeneity of human tumor types ( 23 ), and explain the large size of the LSCC risk gene pool curated through previous studies ( 4 – 12 ).…”

Section: Discussionsupporting

confidence: 67%

“…Furthermore, there are numerous novel genes identified each year for LSCC. For example, in 2017, fibroblast growth factor receptor (FGFR) 4 and microRNA 145 were novelly reported as LSCC risk genes that serve roles in the mechanism of the disease ( 11 , 12 ). These genes have been identified in limited LSCC studies, which may be due to the specificity of genome variations in different patients ( 13 ); therefore, early diagnosis/prediction of LSCC may require multiple genes as biomarkers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A curated target gene pool assisting disease prediction and patient‑specific biomarker selection for lung squamous cell carcinoma

Huang

Zhong

Cao³

et al. 2018

Oncol Lett

View full text Add to dashboard Cite

There have been hundreds of genes demonstrated to be associated with lung squamous cell carcinoma (LSCC), presenting various degrees of association with this disease. In the present study, gene vectors were investigated as genetic biomarkers for the diagnosis and personalized treatment of LSCC. A LSCC genetic database (LSCC_GD) was developed through literature-associated data analysis, where 260 LSCC target genes were curated. Subsequently, numerous associations between these genes and LSCC were studied. Following this, a sparse representation-based variable selection (SRVS) was employed for gene selection from two LSCC gene expression datasets, followed by a case/control classification. Results were compared using analysis of variance (ANOVA)-based gene selection approaches. Using SRVS, a gene vector was selected from each dataset, resulting in significantly higher classification accuracy (CR), compared with randomly selected genes (For datasets GSE18842 and GSE1987, CR=100 and 100% and permutation P=5.0×10−4 and 1.8×10−3, respectively). The SRVS method outperformed ANOVA in terms of the classification ratio. The results indicated that, for a given dataset, there may be a gene vector from the 260 curated LSCC genes that possesses significant prediction power. SRVS is effective in identifying the optimum gene subset target for personalized treatment.

show abstract

Section: Discussionsupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

A curated target gene pool assisting disease prediction and patient‑specific biomarker selection for lung squamous cell carcinoma

Huang

Zhong

Cao³

et al. 2018

Oncol Lett

View full text Add to dashboard Cite

show abstract

“…Previous studies as well as the current study show that sarcopenia is heavily correlated with cancer stage and treatment; yet across all strata of treatment and cancer stage, patients with sarcopenia perform worse [41, 42]. This indicates that, regardless of cancer stage and treatment, sarcopenia is an independent predictor of outcome.…”

Section: Discussionmentioning

confidence: 49%

Low Skeletal Muscle Density Is Associated with Early Death in Patients with Perihilar Cholangiocarcinoma Regardless of Subsequent Treatment

et al. 2018

View full text Add to dashboard Cite

Background: Low skeletal muscle mass is associated with increased postoperative morbidity and worse survival following resection for perihilar cholangiocarcinoma (PHC). We investigated the predictive value of skeletal muscle mass and density for overall survival (OS) of all patients with suspected PHC, regardless of treatment. Methods: Baseline characteristics and parameters regarding disease and treatment were collected from all patients with PHC from 2002 to 2014. Skeletal muscle mass and density were measured at the level of the third lumbar vertebra on CT. The association between skeletal muscle mass and density with OS was investigated using the Kaplan-Meier method and Cox survival. Results: Median OS in 233 included patients did not differ between those with and without low skeletal muscle mass (p = 0.203), whereas a significantly different median OS (months) was observed between patients with low (HR 7.0, 95% CI 4.7–9.3) and high (HR 12.1, 95% CI 8.1–16.1) skeletal muscle density (p = 0.004). Low skeletal muscle density was independently associated with decreased OS (HR 1.78, 95% CI 1.03–3.07, p = 0.040) within the first 6 months but not after 6 months (HR 0.68, 95% CI 0.44–1.07, p = 0.093), after adjusting for age, tumour size and suspected peritoneal or other distant metastases on imaging. Conclusion: A time-dependent effect of skeletal muscle density on OS was found in patients with PHC, regardless of subsequent treatment. Low skeletal muscle density may identify patients at risk for early death.

show abstract

“…For the exploratory analysis of genes associated with obesity and lung cancer survival we further analyzed the association between obesity genes (LEP, LEPR, PCSK1, POMC, MC4R, BMIQ1, BMIQ2, BMIQ3, UCP2, BMIQ5, BMIQ6, INSIG2, FTO, TMEM18, GNPDA2, NEGR1, BDNF, KCTD15, SH2B1, MTCH2 and NPC1) 9 and lung cancer survival from a separate Cancer Genome Atlas data set (TCGA). The TCGA is an independent and centralized database with genomic and genetic profiles of various cancer patients, including lung cancer.…”

Section: Resultsmentioning

confidence: 99%

“…A small study by Murton et al found lung cancer cachexia patients with high mRNA levels of interleukin 6 and low intramyocellular lipid content in slow twitch fibers. 9 Fukawa et al studied fatty acid oxidation and muscle atrophy in cancer related cachexia in vitro and in vivo . 10 They found cachectic cancer cells secret inflammatory factors and rapidly induce excessive fatty acid oxidation in myotubules, which causes oxidative stress and muscle atrophy.…”

Section: Discussionmentioning

confidence: 99%

The Influence of Body Mass Index on Overall Survival Following Surgical Resection of Non–Small Cell Lung Cancer

Sepesi

Gold

Correa

et al. 2017

Journal of Thoracic Oncology

View full text Add to dashboard Cite

Background Population studies suggest that high body mass index (BMI) correlates with a reduced risk of death from lung cancer. The aim of our study was to evaluate definitively the influence of BMI on long term overall survival (OS) in surgical patients with non-small cell lung cancer (NSCLC). Methods Study population consisted of 1935 patients who underwent surgical resection for lung cancer at MD Anderson Cancer Center (2000-2014). Study variables included both patient and treatment related characteristics. Univariate and multivariate Cox regression analyses were performed to identify variables associated with overall survival. Results On univariate analysis, significant predictors of improved survival were higher BMI, pathologic tumor stage (stage I vs II, III, or IV), type of surgery (lobectomy/pneumonectomy versus wedge resection/segmentectomy), younger age, female gender, and adenocarcinoma histology (versus squamous) (all p<0.05, Table 2 and 3). Morbidly obese patients (BMI≥35) had a trend towards better outcomes than those classified as obese (BMI ≥30 and <35) (p=0.05), overweight (BMI ≥25 and <30) (p=0.13), or healthy weight (BMI <25) (p=0.37) (HR 0.727, 0.848, 0.926, and 1, respectively). On multivariate analysis, BMI remained an independent predictor of survival (p=0.02). Propensity matching analysis demonstrated significantly better OS (p=0.003) in patients with BMI≥30 as compared to BMI 25. Conclusions In this large, retrospective, single center series, after controlling for disease stage and other variables, higher BMI was associated with improved OS following surgical resection of NSCLC. Further studies are necessary to elucidate the precise relationship between BMI and treatment outcomes.

show abstract

Consequences of Late-Stage Non–Small-Cell Lung Cancer Cachexia on Muscle Metabolic Processes

Cited by 23 publications

References 54 publications

A curated target gene pool assisting disease prediction and patient‑specific biomarker selection for lung squamous cell carcinoma

A curated target gene pool assisting disease prediction and patient‑specific biomarker selection for lung squamous cell carcinoma

Low Skeletal Muscle Density Is Associated with Early Death in Patients with Perihilar Cholangiocarcinoma Regardless of Subsequent Treatment

The Influence of Body Mass Index on Overall Survival Following Surgical Resection of Non–Small Cell Lung Cancer

Contact Info

Product

Resources

About