Amide proton transfer weighted and diffusion weighted imaging based radiomics classification algorithm for predicting 1p/19q co-deletion status in low grade gliomas.

BACKGROUND: 1p/19q co-deletion in low-grade gliomas (LGG, World Health Organization grade II and III) is of great significance in clinical decision making. We aim to use radiomics analysis to predict 1p/19q co-deletion in LGG based on amide proton transfer weighted (APTw), diffusion weighted imaging (DWI), and conventional MRI. METHODS: This retrospective study included 90 patients histopathologically diagnosed with LGG. We performed a radiomics analysis by extracting 8454 MRI-based features form APTw, DWI and conventional MR images and applied a least absolute shrinkage and selection operator (LASSO) algorithm to select radiomics signature. A radiomics score (Rad-score) was generated using a linear combination of the values of the selected features weighted for each of the patients. Three neuroradiologists, including one experienced neuroradiologist and two resident physicians, independently evaluated the MR features of LGG and provided predictions on whether the tumor had 1p/19q co-deletion or 1p/19q intact status. A clinical model was then constructed based on the significant variables identified in this analysis. A combined model incorporating both the Rad-score and clinical factors was also constructed. The predictive performance was validated by receiver operating characteristic curve analysis, DeLong analysis and decision curve analysis. P < 0.05 was statistically significant. RESULTS: The radiomics model and the combined model both exhibited excellent performance on both the training and test sets, achieving areas under the curve (AUCs) of 0.948 and 0.966, as well as 0.909 and 0.896, respectively. These results surpassed the performance of the clinical model, which achieved AUCs of 0.760 and 0.766 on the training and test sets, respectively. After performing Delong analysis, the clinical model did not significantly differ in predictive performance from three neuroradiologists. In the training set, both the radiomic and combined models performed better than all neuroradiologists. In the test set, the models exhibited higher AUCs than the neuroradiologists, with the radiomics model significantly outperforming resident physicians B and C, but not differing significantly from experienced neuroradiologist. CONCLUSIONS: Our results suggest that our algorithm can noninvasively predict the 1p/19q co-deletion status of LGG. The predictive performance of radiomics model was comparable to that of experienced neuroradiologist, significantly outperforming the diagnostic accuracy of resident physicians, thereby offering the potential to facilitate non-invasive 1p/19q co-deletion prediction of LGG.

How BDNF affects working memory in acute sleep deprivation: The mediating role of spontaneous brain activity.

The brain-derived neurotrophic factor (BDNF) mediates the plasticity associated with memory processing, and compensatorily increases after acute sleep deprivation (SD). However, whether the altered spontaneous brain activity mediates the association between BDNF and working memory in SD remains unknown. Here, we aimed to probe the mediating role of the spontaneous brain activity between plasma BDNF and WM function in SD. A total of 30 healthy subjects with regular sleep were enrolled in this study. Resting-sate functional magnetic resonance imaging (fMRI) scans and the peripheral blood were collected before and after 24 h SD. All participants also received n-back task assessing working memory (WM) performance. The amplitude of low-frequency fluctuation (ALFF) and fractional ALFF (fALFF) were calculated to reflect the intensity of regional spontaneous brain activity. Plasma BDNF was measured by sandwich ELISA. Our results revealed a significant decline in WM and increase in plasma BDNF level after SD, and negative association between the changed WM performance and plasma BDNF level. Specially, the ALFF of the left inferior parietal cortex and right inferior frontal cortex, and fALFF of the left anterior cingulate and medial prefrontal cortex and left posterior opercular cortex regulated the association between the BDNF and one-back reaction time respectively. Our results suggest that the association between BDNF and working memory may be mediated through regional spontaneous brain activity involving in the cerebral cortex, which may provide new sight into the interaction between neurotrophic factors and cognition, and potential targets for noninvasive brain stimulation on WM decline after acute SD.

Assessing immunogenicity of CRISPR-NCas9 engineered strain against porcine epidemic diarrhea virus.

Porcine epidemic diarrhea (PED) caused by porcine epidemic diarrhea virus (PEDV), is an acute and highly infectious disease, resulting in substantial economic losses in the pig industry. Given that PEDV primarily infects the mucosal surfaces of the intestinal tract, it is crucial to improve the mucosal immunity to prevent viral invasion. Lactic acid bacteria (LAB) oral vaccines offer unique advantages and potential applications in combatting mucosal infectious diseases, making them an ideal approach for controlling PED outbreaks. However, traditional LAB oral vaccines use plasmids for exogenous protein expression and antibiotic genes as selection markers. Antibiotic genes can be diffused through transposition, transfer, or homologous recombination, resulting in the generation of drug-resistant strains. To overcome these issues, genome-editing technology has been developed to achieve gene expression in LAB genomes. In this study, we used the CRISPR-NCas9 system to integrate the PEDV S1 gene into the genome of alanine racemase-deficient Lactobacillus paracasei △Alr HLJ-27 (L. paracasei △Alr HLJ-27) at the thymidylate synthase (thyA) site, generating a strain, S1/△Alr HLJ-27. We conducted immunization assays in mice and piglets to evaluate the level of immune response and evaluated its protective effect against PEDV through challenge tests in piglets. Oral administration of the strain S1/△Alr HLJ-27 in mice and piglets elicited mucosal, humoral, and cellular immune responses. The strain also exhibited a certain level of resistance against PEDV infection in piglets. These results demonstrate the potential of S1/△Alr HLJ-27 as an oral vaccine candidate for PEDV control. KEY POINTS: • A strain S1/△Alr HLJ-27 was constructed as the candidate for an oral vaccine. • Immunogenicity response and challenge test was carried out to analyze the ability of the strain. • The strain S1/△Alr HLJ-27 could provide protection for piglets to a certain extent.

Serum proteomics analysis of drug-naïve patients with generalised anxiety disorder: Tandem mass tags and multiple reaction monitoring.

OBJECTIVES: The prevalence of generalised anxiety disorder (GAD) is high. However, the underlying mechanisms remain elusive. Proteomics techniques can be employed to assess the pathological mechanisms involved in GAD. METHODS: Twenty-two drug-naive GAD patients were recruited, their serum samples were used for protein quantification and identified using Tandem Mass Tag and Multiple Reaction Monitoring (MRM). Machine learning models were employed to construct predictive models for disease occurrence by using clinical scores and target proteins as input variables. RESULTS: A total of 991 proteins were differentially expressed between GAD and healthy participants. Gene Ontology analysis revealed that these proteins were significantly associated with stress response and biological regulation, suggesting a significant implication in anxiety disorders. MRM validation revealed evident disparities in 12 specific proteins. The machine learning model found a set of five proteins accurately predicting the occurrence of the disease at a rate of 87.5%, such as alpha 1B-glycoprotein, complement component 4 A, transferrin, V3-3, and defensin alpha 1. These proteins had a functional association with immune inflammation. CONCLUSIONS: The development of generalised anxiety disorder might be closely linked to the immune inflammatory stress response.

Altered Functional Connectivity in Working Memory Network After Acute Sleep Deprivation.

Acute sleep deprivation (SD) has a detrimental effect on working memory (WM). However, prior functional magnetic resonance imaging (fMRI) studies have failed to reach consistent results on brain functions underlying WM decline after acute SD. Thus, we aimed to identify convergent patterns of abnormal brain functions due to WM decline after acute SD. A coordinate-based activation likelihood estimation (ALE) meta-analysis of task-state fMRI studies testing the effects of acute SD on WM was performed to construct WM network. Then 26 healthy subjects with regular sleep performed the n-back task and underwent resting-state fMRI scanning before and after 24 h of SD. The functional connectivity (FC) among these brain regions and correlations with WM performance were calculated. The ALE results displayed that SD subjects performing WM-related tasks had consistent hypoactivation in the occipital lobe, left middle occipital gyrus, parietal lobe, precuneus, inferior parietal lobule, right sub-gyral, right cuneus, right limbic lobe, and right posterior cingulate. Consistent hyperactivation was showed in the left cerebrum, including the lingual gyrus, posterior lobe, cuneus, temporal lobe, and fusiform gyrus. These identified brain regions as the seeds to construct WM network. The increased FC between the left declive and right sub-gyral, left cuneus and left lingual gyrus, and left cuneus and right post cingulate were found. Furthermore, the impaired WM performance negatively correlated with increased FC. Taken together, our findings highlight that the altered FC in WM network may be the underlying mechanisms of WM decline after acute SD.

Altered functional connectivity after acute sleep deprivation reveals potential locations for noninvasive brain stimulation techniques.

BACKGROUNDS: Non-invasive brain stimulation (NIBS) techniques are emerging as efficacious treatments for sleep deprivation (SD). However, the stimulation location of NIBS (e.g. transcranial magnetic stimulation and transcranial direct current stimulation) on intervening acute SD is limited in previous studies. In this study, we aimed to investigate potentially effective targets of NIBS on intervening acute SD. METHODS: We firstly performed a meta-analysis of 95 functional magnetic resonance imaging studies to find SD-related brain regions as regions of interest (ROI). Subsequently, we used resting-state functional connectivity analysis in 32 young individuals suffering from 24 h SD to identify brain surface regions associated with the ROIs. Finally, we applied 10-20 system coordinates to locate scalp sites for NIBS corresponding to the brain surface regions. RESULTS: We identified the bilateral dorsolateral prefrontal cortex, bilateral inferior frontal gyrus, left supplementary motor area, precentral, right precuneus, bilateral inferior parietal gyrus, right middle temporal gyrus, and superior frontal gyrus as potential targets of NIBS for intervening SD. The 10-20 system coordinates corresponding to these brain surface regions were identified as potential sites for NIBS. CONCLUSIONS: In conclusion, we identified several potential targets which could provide alternative stimulation locations for the use of NIBS on young patients suffering from acute SD.

Technical Issues of Vim-PSA Double-Target DBS for Essential Tremor.

BACKGROUND: Deep brain stimulation (DBS) is an effective surgical treatment for essential tremor (ET), with the ventral intermediate nucleus (Vim) and posterior subthalamic area (PSA) as the most common targets. The stimulation efficacy of ET with Vim-PSA double-target DBS has been reported. Herein, we aim to propose surgical techniques for Vim-PSA double-target DBS surgery. METHODS: This study enrolled six patients with ET who underwent Vim-PSA double-target electrode implantation from October 2019 to May 2022. The targets were located and adjusted using coordinates and multimodality MRI images. A burr hole was accurately drilled in line with the electrode trajectory under the guidance of a stereotactic frame. Novel approaches were adopted during the electrode implantation process for pneumocephalus reduction, including "arachnoid piamater welding" and "water sealing". Electrophysiological recording was used to identify the implantation sites of the electrodes. A 3D reconstruction model of electrodes and nuclei was established to facilitate programming. RESULTS: The combination of coordinates and multimodality MRI images for target location and adjustment enabled the alignment of Vim and PSA. Postoperative CT scanning showed that the electrode was precisely implanted. Stereotactic guidance facilitated accurate burr hole drilling. "Arachnoid piamater welding" and "water sealing" were efficient in reducing pneumocephalus. Intraoperative electrophysiological verified the efficacy of Vim-PSA double-target DBS surgery. CONCLUSIONS: The methods for target location and adjustment, accurate drilling of the burr hole, reduction in pneumocephalus, and intraoperative electrophysiological verification are key issues in DBS surgery targeting both the Vim and PSA. This study may provide technical support for Vim-PSA DBS, especially for surgeons with less experience in functional neurosurgery.

Metabolic changes in patients with bipolar disorder in spring.

Bipolar disorder (BD) is a common mental condition with a seasonal pattern (SP) of onset. In the spring, there is a higher incidence rate of mania or mixed onset and suicide. However, the underlying mechanism of this SP remains unclear. In this study, targeted metabolomics was used to understand metabolic changes in patients with BD before and after the spring equinox. Nine patients with BD and matched healthy controls were tested for serum metabolomics at the spring equinox and 15 days before and after the spring equinox. The results showed that 27 metabolite levels changed significantly, three of which interacted between three time points and groups involving triglyceride (TG, 20:4_34:2), TG (20:4_34:3) and TG (16:0_36:6). The identified metabolic pathways mainly involved arginine biosynthesis, D-glutamine and D-glutamate metabolism, and nitrogen metabolism. Changes in solar radiation and lunar cycle during spring may be the external causes of metabolic changes. These findings help to further explore seasonal metabolic changes in patients with BD and provide insights into the mechanisms of patients' emotional changes in spring.

Variation in self and familiar facial recognition in bipolar disorder patients at different clinical stages.

Previous studies suggest a close relationship between self-disorders and schizophrenia or unipolar depression. However, few studies have explored the characteristics of self-processing in bipolar disorder (BD) during different clinical states. This study compared the differences in self-face recognition (SFR) among patients with bipolar mania (BPM), bipolar depression (BPD), bipolar remission (RM), and healthy controls (HC). Images of subject's own face, a familiar face, and an unfamiliar face were combined in pairs at a certain proportion to obtain three types of blended images. We then compared the tendency between BD and HC while judging two kinds of blended faces emerging from presentation software. The results showed that the BPM and BPD groups seemed to lack an advantage in self-recognition. Self-processing and familiarity processing were significantly enhanced in BPM patients, while only familiarity processing was enhanced in BPD. The severity of clinical symptoms was not significantly correlated with self-bias or familiarity bias in BD.

Cyclothymic Temperament, Physical Neglect, and Earlier Age of Onset Predict Poor Medication Adherence in Patients With Bipolar Disorder.

ABSTRACT: Individual-level risk factors may predict poor medication adherence (PMA) in bipolar disorder (BD). This study aimed to evaluate the association between affective temperament, childhood trauma, age of first onset, and PMA in patients with BD in China. A total of 168 patients completed the eight-item Morisky Medication Adherence Scale; the Short Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire; and the Childhood Trauma Questionnaire-Short Form. Scores were then compared between PMA and non-PMA groups. Binary logistic regression showed that age of first onset was negatively correlated with PMA ( ß = -0.106, p = 0.002), whereas physical neglect and cyclothymic temperament were positively correlated with PMA ( ß = 0.143, p = 0.029; ß = 0.19, p = 0.001, respectively). These findings indicate that cyclothymic temperament, physical neglect, and earlier onset are predictors of PMA in patients with BD and that such patients may require further attention to improve medical compliance.

The altered intrinsic functional connectivity after acupuncture at shenmen (HT7) in acute sleep deprivation.

Introduction: Accumulating evidence has shown that acupuncture could significantly improve the sleep quality and cognitive function of individuals suffering from insufficient sleep. Numerous animal studies have confirmed the effects and mechanisms of acupuncture on acute sleep deprivation (SD). However, the role of acupuncture on individuals after acute SD remains unclear. Methods: In the current study, we recruited 30 healthy subjects with regular sleep. All subjects received resting-state fMRI scans during the rested wakefulness (RW) state and after 24 h of total SD. The scan after 24 h of total SD included two resting-state fMRI sessions before and after needling at Shenmen (HT7). Both edge-based and large-scale network FCs were calculated. Results: The edge-based results showed the suprathreshold edges with abnormal between-network FC involving all paired networks except somatosensory motor network (SMN)-SCN between the SD and RW state, while both decreased and increased between-network FC of edges involving all paired networks except frontoparietal network (FPN)-subcortical network (SCN) between before and after acupuncture at HT7. Compared with the RW state, the large-scale brain network results showed decreased between-network FC in SMN-Default Mode Network (DMN), SMN-FPN, and SMN-ventral attention network (VAN), and increased between-network FC in Dorsal Attention Network (DAN)-VAN, DAN-SMN between the RW state and after 24 h of total SD. After acupuncture at HT7, the large-scale brain network results showed decreased between-network FC in DAN-VAN and increased between-network FC in SMN-VAN. Conclusion: Acupuncture could widely modulate extensive brain networks and reverse the specific between-network FC. The altered FC after acupuncture at HT7 may provide new evidence to interpret neuroimaging mechanisms of the acupuncture effect on acute SD.

Imaging features of sentinel lymph node mapped by multidetector-row computed tomography lymphography in predicting axillary lymph node metastasis.

INTRODUCTION: Accurately assessing axillary lymph node (ALN) status in breast cancer is vital for clinical decision making and prognosis. The purpose of this study was to evaluate the predictive value of sentinel lymph node (SLN) mapped by multidetector-row computed tomography lymphography (MDCT-LG) for ALN metastasis in breast cancer patients. METHODS: 112 patients with breast cancer who underwent preoperative MDCT-LG examination were included in the study. Long-axis diameter, short-axis diameter, ratio of long-/short-axis and cortical thickness were measured. Logistic regression analysis was performed to evaluate independent predictors associated with ALN metastasis. The prediction of ALN metastasis was determined with related variables of SLN using receiver operating characteristic (ROC) curve analysis. RESULTS: Among the 112 cases, 35 (30.8%) cases had ALN metastasis. The cortical thickness in metastatic ALN group was significantly thicker than that in non-metastatic ALN group (4.0 ± 1.2 mm vs. 2.4 ± 0.7 mm, P < 0.001). Multi-logistic regression analysis indicated that cortical thickness of > 3.3 mm (OR 24.53, 95% CI 6.58-91.48, P < 0.001) had higher risk for ALN metastasis. The best sensitivity, specificity, negative predictive value(NPV) and AUC of MDCT-LG for ALN metastasis prediction based on the single variable of cortical thickness were 76.2%, 88.5%, 90.2% and 0.872 (95% CI 0.773-0.939, P < 0.001), respectively. CONCLUSION: ALN status can be predicted using the imaging features of SLN which was mapped on MDCT-LG in breast cancer patients. Besides, it may be helpful to select true negative lymph nodes in patients with early breast cancer, and SLN biopsy can be avoided in clinically and radiographically negative axilla.

Disrupted Resting-State Functional Connectivity between the Dorsal Attention, Default Mode, and Frontoparietal Networks in Nonorganic Gastrointestinal Disorder Patients with Spleen Deficiency Syndrome.

INTRODUCTION: Spleen deficiency syndrome (SDS), a common clinical syndrome of traditional Chinese medicine, is manifested with digestive symptoms and cognitive impairments. However, the cognitive neural mechanism in brain networks of SDS still remained unclear. Our aim was to investigate the changes between the default mode, dorsal attention, and frontoparietal networks in SDS. METHODS: Twenty nonorganic gastrointestinal disorder (NOGD) patients with SDS and eighteen healthy controls were enrolled to attend functional magnetic resonance imaging scan and participated a continuous performance test (CPT) before scanning. RESULTS: Compared with healthy controls, NOGD patients with SDS showed the significantly increased functional connectivity (FC) between dorsal attention network (DAN) and left frontal-parietal control network (LFPN) and significantly decreased FC between LFPN and default mode network (DMN). The functional network connectivity analysis showed positive correlation coefficients between the DAN and LFPN and DAN and DMN as well as negative correlation between LFPN and DMN in NOGD patients with SDS compared with healthy controls. Correlation analysis revealed that the increased FC between LFPN and DAN was positively correlated with 4-digitnumber reaction time mean (RTM) and 3-digitnumber RTM. CONCLUSION: Our study may provide novel insights into the relationship among the DMN, DAN, and FPN in NOGD patients with SDS to deepen our understanding of the neuropsychological mechanisms of SDS.

Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder.

Neuroimaging studies have revealed that shift work disorder (SWD) affected the functional connectivity in specific brain regions and networks. However, topological disruptions in the structural connectivity of the white matter (WM) networks associated with attention function remain poorly understood. In the current study, we recruited 33 patients with SWD and 29 matched healthy subjects. The attention network test (ANT) was employed to investigate the efficiency of alerting, orienting, and executive control networks. The diffusion tensor imaging (DTI) tractography was used to construct the WM structural networks. The graph theory analysis was applied to detect the alterations of topological properties of structural networks. Our results showed lower alerting effect and higher executive effect for patients with SWD. Using the link-based analysis, 15 altered connectivity matrices (lower fiber numbers) were found between the two groups. Meanwhile, the graph theoretical analysis showed that the global efficiency and characteristic path length within SWD patients declined in contrast with the healthy controls. Furthermore, a significantly negative correlation was found between the executive effect and global network efficiency. Our findings provide the new insights into the fundamental architecture of interregional structural connectivity underlying attention deficits in SWD, which may be a potential biomarker for SWD.

Current understanding of metal ions in the pathogenesis of Alzheimer's disease.

Background: The homeostasis of metal ions, such as iron, copper, zinc and calcium, in the brain is crucial for maintaining normal physiological functions. Studies have shown that imbalance of these metal ions in the brain is closely related to the onset and progression of Alzheimer's disease (AD), the most common neurodegenerative disorder in the elderly. Main body: Erroneous deposition/distribution of the metal ions in different brain regions induces oxidative stress. The metal ions imbalance and oxidative stress together or independently promote amyloid-ß (Aß) overproduction by activating ß- or γ-secretases and inhibiting α-secretase, it also causes tau hyperphosphorylation by activating protein kinases, such as glycogen synthase kinase-3ß (GSK-3ß), cyclin-dependent protein kinase-5 (CDK5), mitogen-activated protein kinases (MAPKs), etc., and inhibiting protein phosphatase 2A (PP2A). The metal ions imbalances can also directly or indirectly disrupt organelles, causing endoplasmic reticulum (ER) stress; mitochondrial and autophagic dysfunctions, which can cause or aggravate Aß and tau aggregation/accumulation, and impair synaptic functions. Even worse, the metal ions imbalance-induced alterations can reversely exacerbate metal ions misdistribution and deposition. The vicious cycles between metal ions imbalances and Aß/tau abnormalities will eventually lead to a chronic neurodegeneration and cognitive deficits, such as seen in AD patients. Conclusion: The metal ions imbalance induces Aß and tau pathologies by directly or indirectly affecting multiple cellular/subcellular pathways, and the disrupted homeostasis can reversely aggravate the abnormalities of metal ions transportation/deposition. Therefore, adjusting metal balance by supplementing or chelating the metal ions may be potential in ameliorating AD pathologies, which provides new research directions for AD treatment.

A variant (rs932335) in the HSD11B1 gene is associated with colorectal cancer in a Chinese population.

Glucocorticoid hormones have been reported to contribute to the regulation of cellular proliferation and differentiation and to inhibit the growth of cells in several colon tumors and adenocarcinoma cell lines. As a regulator of glucocorticoid levels, type I isoform HSD11B1 is a bidirectional enzyme but acts predominantly as an oxidoreductase to yield active glucocorticoids, cortisol or corticosterone. To date, studies investigating the associations between the polymorphisms of HSD11B1 and the risk for cancer have shown inconclusive results. In our study, we aimed to investigate whether the polymorphisms of HSD11B1 may influence the genetic susceptibility to colorectal cancer (CRC) in a Chinese population. Four single-nucleotide polymorphisms of HSD11B1 (rs846910 G/A, rs11807619 G/T, rs932335 C/G, and rs13306421 G/A) were detected using a PCR-ligase detection reaction in a case-control study comprising 110 CRC patients and 118 controls. Logistic regression was used to evaluate genetic associations with the occurrence of CRC. Real-time PCR was used to test the mRNA expression of HSD11B1 in 18 CRC tissues. The frequencies of the rs932335 GC genotype were significantly higher among the patients compared with controls (P=0.019). Compared with individuals carrying the GG genotype, individuals with the GC/CC genotype had a significantly increased susceptibility to CRC occurrence (odds ratio=2.23, 95% confidence interval=1.27-3.94, P=0.008). In cancer tissues, patients carrying the GG genotype also displayed an increased mRNA level of HSD11B1 (P=0.019). These results suggested that the HSD11B1 rs932335 G/C polymorphism had an effect on CRC occurrence. These findings also suggest that the functional polymorphism rs932335 in intron4 of HSD11B1 may influence the susceptibility to and progression of CRC in a Chinese population. Large population-based prospective studies are required to validate our findings.

[Prognostic significance of ERCC1 mRNA expression in patients with non-small cell lung cancer receiving platinum-based chemotherapy].

OBJECTIVE: To investigate the correlation of the mRNA expression level of excision repair cross-complementing group 1 (ERCC1) gene with clinicopathological parameters and clinical outcome in patients with non-small cell lung cancer (NSCLC) receiving platinum-based chemotherapy. METHODS: The mRNA expression of ERCC1 in formalin-fixed paraffin-embedded primary tumor specimens was measured by real-time quantitative reverse transcriptase polymerase chain reaction. The association between ERCC1 expression levels and clinicopathological parameters in NSCLC patients was analyzed. RESULTS: The median value of ERCC1 mRNA expression level compared with beta-actin in tumor specimens of 61 NSCLC patients was 0.48. There was no correlation between ERCC1 expression and clinicopathological parameters. Patients with low expression of ERCC1 mRNA (less than 0.35, 0.28, respectively) had a significantly longer median time to progression (TTP) (14.3 vs. 8.0 months, P = 0.028) and overall survival (OS) (28.4 vs. 12.9 months, P = 0.0064) than those with high expression. Multivariate analysis showed that a low ERCC1 mRNA expression was an independent factor for OS. CONCLUSION: Our findings suggest that intratumoral ERCC1 mRNA expression level, although is uncorrelated with clinicopathological parameters, is an independent predictive marker for survival of the patients with NSCLC receiving platinum-based chemotherapy, and may provide critical information for personalized chemotherapy.