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Table S1. Differential-express genes enrichment analysis in LNCaP-AAr and LNCaP.ES= enrichment score, NES= normalized enrichment score, NOM = nominal, FDR = false discovery rate. The significant related genes were defined with an NOM p-val less than 0.01 and FDR q-val less than 0.25.

Purpose:Abiraterone acetate (AA), an inhibitor of cytochrome P450 17alpha-hydroxylase/17, 20 lyase, is an FDA-approved drug for advanced prostate cancer. However, not all patients respond to AA, and AA resistance ultimately develops in patients who initially respond. We aimed to identify AA resistance mechanisms in prostate cancer cells.Experimental Design:We established several AA-resistant cell lines and performed a comprehensive study on mechanisms involved in AA resistance development. RNA sequencing and phospho-kinase array screenings were performed to discover that the cAMP-response element CRE binding protein 1 (CREB1) was a critical molecule in AA resistance development.Results:The drug-resistant cell lines are phenotypically stable without drug selection, and exhibit permanent global gene expression changes. The phosphorylated CREB1 (pCREB1) is increased in AA-resistant cell lines and is critical in controlling global gene expression. Upregulation of pCREB1 desensitized prostate cancer cells to AA, while blocking CREB1 phosphorylation resensitized AA-resistant cells to AA. AA treatment increases intracellular cyclic AMP (cAMP) levels, induces kinases activity, and leads to the phosphorylation of CREB1, which may subsequently augment the essential role of the CBP/p300 complex in AA-resistant cells because AA-resistant cells exhibit a relatively higher sensitivity to CBP/p300 inhibitors. Further pharmacokinetics studies demonstrated that AA significantly synergizes with CBP/p300 inhibitors in limiting the growth of prostate cancer cells.Conclusions:Our studies suggest that AA treatment upregulates pCREB1, which enhances CBP/p300 activity, leading to global gene expression alterations, subsequently resulting in drug resistance development. Combining AA with therapies targeting resistance mechanisms may provide a more effective treatment strategy.

Supplementary Table from Functional Genomic Analysis of CDK4 and CDK6 Gene Dependency across Human Cancer Cell Lines

Figure S1-S8

Supplementary Figure from Functional Genomic Analysis of CDK4 and CDK6 Gene Dependency across Human Cancer Cell Lines

ObjectiveOesophageal squamous cell carcinoma (OSCC), like other squamous carcinomas, harbour highly recurrent cell cycle pathway alterations, especially hyperactivation of the CCND1/CDK4/6 axis, raising the potential for use of existing CDK4/6 inhibitors in these cancers. Although CDK4/6 inhibition has shown striking success when combined with endocrine therapy in oestrogen receptor positive breast cancer, CDK4/6 inhibitor palbociclib monotherapy has not revealed evidence of efficacy to date in OSCC clinical studies. Herein, we sought to elucidate the identification of key dependencies in OSCC as a foundation for the selection of targets whose blockade could be combined with CDK4/6 inhibition.DesignWe combined large-scale genomic dependency and pharmaceutical screening datasets with preclinical cell line models, to identified potential combination therapies in squamous cell cancer.ResultsWe identified sensitivity to inhibitors to the ERBB family of receptor kinases, results clearly extending beyond the previously described minority of tumours with EGFR amplification/dependence, specifically finding a subset of OSCCs with dual dependence on ERBB3 and ERBB2. Subsequently. we demonstrated marked efficacy of combined pan-ERBB and CDK4/6 inhibition in vitro and in vivo. Furthermore, we demonstrated that squamous lineage transcription factor KLF5 facilitated activation of ERBBs in OSCC.ConclusionThese results provide clear rationale for development of combined ERBB and CDK4/6 inhibition in these cancers and raises the potential for KLF5 expression as a candidate biomarker to guide the use of these agents. These data suggested that by combining existing Food and Drug Administration (FDA)-approved agents, we have the capacity to improve therapy for OSCC and other squamous cancer.

Purpose: Abiraterone acetate (AA), an inhibitor of cytochrome P450 17alpha-hydroxylase/17, 20 lyase, is an FDA-approved drug for advanced prostate cancer. However, not all patients respond to AA, and AA resistance ultimately develops in patients who initially respond. We aimed to identify AA resistance mechanisms in prostate cancer cells. Experimental Design: We established several AA-resistant cell lines and performed a comprehensive study on mechanisms involved in AA resistance development. RNA sequencing and phospho-kinase array screenings were performed to discover that the cAMP-response element CRE binding protein 1 (CREB1) was a critical molecule in AA resistance development. Results: The drug-resistant cell lines are phenotypically stable without drug selection, and exhibit permanent global gene expression changes. The phosphorylated CREB1 (pCREB1) is increased in AA-resistant cell lines and is critical in controlling global gene expression. Upregulation of pCREB1 desensitized prostate cancer cells to AA, while blocking CREB1 phosphorylation resensitized AA-resistant cells to AA. AA treatment increases intracellular cyclic AMP (cAMP) levels, induces kinases activity, and leads to the phosphorylation of CREB1, which may subsequently augment the essential role of the CBP/p300 complex in AA-resistant cells because AA-resistant cells exhibit a relatively higher sensitivity to CBP/p300 inhibitors. Further pharmacokinetics studies demonstrated that AA significantly synergizes with CBP/p300 inhibitors in limiting the growth of prostate cancer cells. Conclusions: Our studies suggest that AA treatment upregulates pCREB1, which enhances CBP/p300 activity, leading to global gene expression alterations, subsequently resulting in drug resistance development. Combining AA with therapies targeting resistance mechanisms may provide a more effective treatment strategy.

Electrostatic voltage is a vital parameter in industrial production lines, for reducing electrostatic discharge harms and improving yields. Due to such drawbacks as package shielding and low resolution, previously reported electric field microsensors are still not applicable for industrial static monitoring uses. In this paper, we introduce a newly designed microsensor package structure, which enhances the field strength inside the package cavity remarkably. This magnification effect was studied and optimized by both theoretical calculation and ANSYS simulation. By means of the digital synthesizer and digital coherent demodulation method, the compact signal processing circuit for the packaged microsensor was also developed. The meter prototype was calibrated above a charged metal plate, and the electric field resolution was 5 V/m, while the measuring error was less than 3 V, from −1 kV to 1 kV in a 2 cm distance. The meter was also installed into a production line and showed good consistency with, and better resolution than, a traditional vibratory capacitance sensor.

Cyclin-dependent kinase 4 (CDK4) and CDK6 are key cell-cycle regulators that are frequently dysregulated in human malignancies. CDK4/6 inhibitors are clinically approved for the treatment of hormone receptor–positive, HER2–negative (HR+/HER2−) breast cancer, but improved specificity and reduced toxicity might expand their use to other indications. Through analysis of publicly available genome-wide loss-of-function data combined with single and dual-targeting CRISPR assays, we found differential cell proliferation vulnerability of cell lines to either CDK4 deletion alone, CDK6 deletion alone, combined CDK4/CDK6 deletion, or neither. CDK6 expression was the best single predictor of CDK4 (negatively correlated) and CDK6 (positively correlated) dependencies in the cancer cell lines, with adenocarcinoma cell lines being more sensitive to CDK4 deletion and hematologic and squamous cancer cell lines being more sensitive to CDK6 deletion. RB–E2F signaling was confirmed as a main downstream node of CDK4/6 in these experiments as shown by the survival effects of RB1 deletion. Finally, we show in a subset of cancer cell lines not dependent on CDK4/6 that CDK2–CCNE1 is an important alternative dependency for cell proliferation. Together, our comprehensive data exploration and functional experiments delineate the landscape of pan-cancer CDK4/6 gene dependencies and define unique cancer cell populations that might be sensitive to CDK4-selective or CDK6-selective inhibitors.Significance:This study provides functional genomic insight toward understanding the scenarios in which cancer cells are differentially sensitive to CDK4 or CDK6 inhibition and their implications in current treatment strategies.

Information on height of pylon is important when planning the routes of unmanned aerial vehicles. This paper proposes a new automatic method for estimating pylon height using shadow differences between GF-2 satellite images taken at different times. Initially, the spectral distribution features and triangular shape of pylon shadows are used for shadow detection to enhance the difference from other land objects using images taken at a greater sun elevation angle. Then, the difference in the shadows of the same pylon in images taken at different times and shadow-imaging principles are used to estimate the vertical of the pylon top to avoid interference from complex land objects. Finally, the height of the pylon is approximated using the distance from the vertical projection point to the shadow point of the pylon top and sun elevation angle. GF-2 images were selected and included five pylons in the target area. The average error of the estimated height was 1.56 m, and the relative error was only 2.74%.

Background: Small intestinal neuroendocrine tumors (SI-NETs) are the most common neoplasms of the small bowel, accounting for 40% of all small intestinal malignancies. Previous high-throughput sequencing studies have shown that SI-NETs have a low somatic mutation rate. Loss of heterozygosity (LOH) at chromosome 18 is the most frequent genomic alteration identified, occurring in ~60% of tumors, and the only recurrent mutations reported to date are loss-of-function mutations in CDKN1B in ~10% of tumors. Most previous studies have focused on sequencing a single primary tumor from each SI-NET patient, even though up to 50% of the patients are diagnosed with multiple synchronous tumors. Thus, the mechanisms by which multifocal SI-NETs arise remain elusive. A better understanding of their tumorigenesis is essential for the optimal treatment of the patients. Materials and Methods: We performed a comprehensive genomic profiling of 75 de-identified synchronous primary tumors, 15 metastases, and 18 normal ileal mucosa and/or whole blood specimens from 13 patients with multifocal ileal NETs using whole genome sequencing. Results: We observed lack of shared somatic variation among the multifocal ileal NET patients and between the synchronous primary tumors within each patient, indicating that these tumors develop independently. Although recurrent copy-number alterations were identified, additional chromosome mapping revealed that tumors from the same patient can gain or lose different parental alleles. In addition to the previously reported CDKN1B loss-of-function mutations, we identified potential driver gene alterations in TNRC6B in a subset of ileal NETs. We also observed two different metastatic dissemination patterns among patients with multiple metastases. Metastases were either clonal or independent, originating from one or several primary tumors. Conclusions: Our study demonstrates notable genomic diversity among multifocal ileal NETs, which corroborates previous literature suggesting that these tumors originate independently. We identified potential loss-of-function mutations in TNRC6B, a candidate tumor suppressor gene in a small subset of ileal NETs. Identification of different metastatic dissemination patterns has an important clinical implication, highlighting the need to carefully remove all synchronous primary tumors of the entire jejunum and ileum at the time of surgery. Lastly, our results indicate that the tumorigenesis of multifocal ileal NETs is not exclusively driven by genomic alterations, suggesting that SI-NETs could be also driven by epigenetic mechanisms, or arise from morphologically normal small intestine as a result of field cancerization. Also, the tumor microenvironment in the ileum may play a role in the growth and development of SI-NETs. Citation Format: NETTA MÄKINEN, Meng Zhou, Zhouwei Zhang, Yosuke Kasai, Elizabeth Perez, Grace E. Kim, Chrissie Thirlwell, Eric Nakakura, Matthew Meyerson. Independent clonal origins of synchronous primary tumors in multifocal ileal neuroendocrine tumor patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 46.

A novel high-performance closed-loop electrostatic voltage sensor based on electrically weakly coupled resonator was designed. The MEMS static voltage sensor is designed based on mode localization effect. A three-degree-of-freedom micromechanical sensor which is weakly coupled by electrostatic voltage was fabricated to achieve high-sensitivity voltage measurement. Currently under the open-loop test, the sensor can achieve voltage measurement with a sensitivity of 0.0967/V and a linearity of 6.11%. The experimental results show that the voltage sensitivity of the sensor based on the amplitude ratio output is 87.9 times higher than the sensitivity based on the frequency output.

This paper proposes an electric field microsensor (EFM) with mutual shielding electrodes. Based on the charge-induction principle, the EFM consists of fixed electrodes and piezoelectric-driving vertically-movable electrodes. All the fixed electrodes and movable electrodes work as both sensing electrodes and shielding electrodes. In other words, all the fixed and movable electrodes are sensing electrodes, and they are mutually shielding electrodes simultaneously. The movable electrodes are driven to periodically modulate the electric field distribution at themselves and the fixed electrodes, and the induced currents from both movable and fixed electrodes are generated simultaneously. The electrode structure adopts an interdigital structure, and the EFM has been simulated by finite element methods. Simulation results show that, since the sensing area of this EFM is doubled, the variation of induced charge is twice, and therefore the output signal of the sensor is increased. The piezoelectric material, lead zirconate titanate (PZT), is prepared by the sol–gel method, and the microsensor chip is fabricated.

Ileal neuroendocrine tumors (NETs) represent the most common neoplasm of the small intestine. Although up to 50% of patients with ileal NETs are diagnosed with multifocal disease, the mechanisms by which multifocal ileal NETs arise are not yet understood. In this study, we analyzed genome‐wide sequencing data to examine patterns of copy number variation in 40 synchronous primary ileal NETs derived from three patients. Chromosome (chr) 18 loss of heterozygosity (LOH) was the most frequent copy number alteration identified; however, not all primary tumors from the same patient had evidence of this LOH. Our data revealed three distinct patterns of chr18 allelic loss, indicating that primary tumors from the same patient can present different LOH patterns including retention of either parental allele. In conclusion, our results are consistent with the model that multifocal ileal NETs originate independently. In addition, they suggest that there is no specific germline allele on chr18 that is the target of somatic LOH.

Monascus spp. are commonly used for a wide variety of applications in the food and pharmaceutical industries. In previous studies, the knock-out of mrflbA (a putative regulator of the G protein α subunit) in M. ruber led to autolysis of the mycelia, decreased pigmentation and lowered mycotoxin production. Therefore, we aimed to obtain a comprehensive overview of the underlying mechanism of mrflbA deletion at the proteome level. A two-dimensional gel electrophoresis analysis of mycelial proteins indicated that the abundance of 178 proteins was altered in the ΔmrflbA strain, 33 of which were identified with high confidence. The identified proteins are involved in a range of activities, including carbohydrate and amino acid metabolism, hyphal development and the oxidative stress response, protein modification, and the regulation of cell signaling. Consistent with these findings, the activity of antioxidative enzymes and chitinase was elevated in the supernatant of the ΔmrflbA strain. Furthermore, deletion of mrflbA resulted in the transcriptional reduction of secondary metabolites (pigment and mycotoxin). In short, the mutant phenotypes induced by the deletion of mrflbA were consistent with changes in the expression levels of associated proteins, providing direct evidence of the regulatory functions mediated by mrflbA in M. ruber.

This paper, for the first time, presents a microassembled three-dimensional (3D) electric field sensor (EFS), which is a chip-level compact triangular-prism-shape sensor consisting of X-, Y- and Z-axis electric field (EF) sensing chips. The proposed 3D EFS is fabricated on a silicon-on-insulator (SOI) die, introducing photosensitive polyimide (PSPI) into its micromachining process to produce flexible micro-hinges and make separate components into a foldable integrative structure. Interlocking latches are employed to ensure the orthogonality of the three sensing axes. Structures of each EF sensing chip are symmetrically designed for reducing cross-axis coupling interference, and good performances have been demonstrated by experiments.

As one of the most important active remote sensing technologies, synthetic aperture radar (SAR) provides advanced advantages of all-day, all-weather, and strong penetration capabilities. Due to its unique electromagnetic spectrum and imaging mechanism, the dimensions of remote sensing data have been considerably expanded. Important for fundamental research in microwave remote sensing, SAR image classification has been proven to have great value in many remote sensing applications. Many widely used SAR image classification algorithms rely on the combination of hand-designed features and machine learning classifiers, which still experience many issues that remain to be resolved and overcome, including optimized feature representation, the fuzzy confusion of speckle noise, the widespread applicability, and so on. To mitigate some of the issues and to improve the pattern recognition of high-resolution SAR images, a ConvCRF model combined with superpixel boundary constraint is developed. The proposed algorithm can successfully combine the local and global advantages of fully connected conditional random fields and deep models. An optimizing strategy using a superpixel boundary constraint in the inference iterations more efficiently preserves structure details. The experimental results demonstrate that the proposed method provides competitive advantages over other widely used models. In the land cover classification experiments using the MSTAR, E-SAR and GF-3 datasets, the overall accuracy of our proposed method achieves 90.18 ± 0.37, 91.63 ± 0.27, and 90.91 ± 0.31, respectively. Regarding the issues of SAR image classification, a novel integrated learning containing local and global image features can bring practical implications.

Skn7, a response regulator (RR), is associated with oxidative stress adaptation, hypo-osmotic stress response, fungicide sensitivity, cell wall biosynthesis, cell cycle regulation, sexual mating, and sporulation in many filamentous fungi and yeasts. In this study a Skn7-like protein gene mrskn7 (Monascus ruber skn7) was isolated, sequenced, and disrupted to investigate its function in M. ruber Bioinformatics predicted that the deduced protein encoded by mrskn7 contained the conserved DNA-binding and signal-receiver domains similar to the Skn7-like protein structure in other filamentous fungi. The Δmrskn7 strain produced fewer conidia and less mycotoxin, demonstrated increased sensitivity to peroxide but the same level of osmotic resistance to NaCl and glycerol with the wild-type. Additionally, cleistothecia observed at different time point showed a different morphology between the wild-type and the Δmrskn7 strain, suggesting the involvement of mrskn7 in sexual development of M. ruber These results indicated that mrskn7 plays important roles in asexual and sexual development, the production of mycotoxin as well as regulation of oxidative stress signal in M. ruber.

177 Background: The androgen receptor (AR) remains an essential target in castration resistant prostate cancer (CRPC). Abiraterone acetate (AA), an inhibitor of CYP17A1, is an FDA approved drug for metastatic CRPC. AA can also be converted to the more active metabolite 4-abiraterone in vivo, which blocks multiple steroidogenic enzymes and antagonizes AR. However, not all patients respond to AA and AA resistance ultimately develops in those patients who initially respond. Methods: We established several AA resistant prostate cancer cell lines and performed a comprehensive study of mechanisms involved in the development of AA resistance. The AA-resistant cell lines are phenotypically stable with aggressive invasive features. By RNA-seq and phospho-kinase array screening, we found that the cAMP response element-CRE binding protein 1 (CREB1) is activated in AA resistant cell lines. Results: Over-expression of the wild type CREB1 or treatment with Forskolin desensitizes the cellular response to AA, while over-expressing the mutated CREB1 (S133A, an essential kinase site) did not significantly affect cell sensitivity to AA. Blocking pCREB1 with the CREB inhibitor increased the sensitivity of AA resistant cell lines to AA. The activation of pCREB1 in AA resistant cell lines may potentially activate the CBP/p300 complex. Our data demonstrated that treatment with a low dose of AA strongly synergistic the efficacy of CBP/p300 inhibitors in prostate cancer cell lines. Taken together, we found that AA treatment activates CREB1 and pCREB1 may interact with the CBP/p300 complex, leading to global gene expression alterations, which subsequently result in the development of drug resistance. Conclusions: Our study indicates that AR-targeted treatment potentially fosters de novo genetic and epigenetic alterations associated with progression. A more effective AR-targeted treatment for CRPC may be developed by considering low doses of multiple targets involved in the development of resistance pathways.

Fine classification of vegetation types has always been the focus and difficulty in the application field of remote sensing. Unmanned Aerial Vehicle (UAV) sensors and platforms have become important data sources in various application fields due to their high spatial resolution and flexibility. Especially, UAV hyperspectral images can play a significant role in the fine classification of vegetation types. However, it is not clear how the ultrahigh resolution UAV hyperspectral images react in the fine classification of vegetation types in highly fragmented planting areas, and how the spatial resolution variation of UAV images will affect the classification accuracy. Based on UAV hyperspectral images obtained from a commercial hyperspectral imaging sensor (S185) onboard a UAV platform, this paper examines the impact of spatial resolution on the classification of vegetation types in highly fragmented planting areas in southern China by aggregating 0.025 m hyperspectral image to relatively coarse spatial resolutions (0.05, 0.1, 0.25, 0.5, 1, 2.5 m). The object-based image analysis (OBIA) method was used and the effects of several segmentation scale parameters and different number of features were discussed. Finally, the classification accuracies from 84.3% to 91.3% were obtained successfully for multi-scale images. The results show that with the decrease of spatial resolution, the classification accuracies show a stable and slight fluctuation and then gradually decrease since the 0.5 m spatial resolution. The best classification accuracy does not occur in the original image, but at an intermediate level of resolution. The study also proves that the appropriate feature parameters vary at different scales. With the decrease of spatial resolution, the importance of vegetation index features has increased, and that of textural features shows an opposite trend; the appropriate segmentation scale has gradually decreased, and the appropriate number of features is 30 to 40. Therefore, it is of vital importance to select appropriate feature parameters for images in different scales so as to ensure the accuracy of classification.

This paper proposes a high sensitivity electric field microsensor (EFM) based on torsional resonance. The proposed microsensor adopts torsional shutter, which is composed of shielding electrodes and torsional beams. The movable shielding electrodes and the fixed sensing electrodes are fabricated on the same plane and interdigitally arranged. Push–pull electrostatic actuation method is employed to excite the torsional shutter. Simulation results proved that the torsional shutter has higher efficiency of charge induction. The optimization of structure parameters was conducted to improve its efficiency of charge induction further. A micromachining fabrication process was developed to fabricate the EFM. Experiments were conducted to characterize the EFM. A good linearity of 0.15% was achieved within an electrostatic field range of 0–50 kV/m, and the uncertainty was below 0.38% in the three roundtrip measurements. A high sensitivity of 4.82 mV/(kV/m) was achieved with the trans-resistance of 100 MΩ, which is improved by at least one order of magnitude compared with previously reported EFMs. The efficiency of charge induction for this microsensor reached 48.19 pA/(kV/m).

Aim Long non-coding RNAs (lncRNAs) are potential biomarkers for breast cancer risk stratification. LncRNA expression has been investigated primarily by RNA sequencing, quantitative reverse transcription PCR or microarray techniques. In this study, six breast cancer-implicated lncRNAs were investigated by chromogenic in situ hybridisation (CISH). Methods Invasive breast carcinoma (IBC), ductal carcinoma in situ (DCIS) and normal adjacent (NA) breast tissues from 52 patients were screened by CISH. Staining was graded by modified Allred scoring. Results HOTAIR , H19 and KCNQ1OT1 had significantly higher expression levels in IBC and DCIS than NA (p HOTAIR and H19 were expressed more strongly in IBC than in DCIS tissues (p HOTAIR and KCNQ101T were expressed in tumour cells; H19 and MEG3 were expressed in stromal microenvironment cells; MALAT1 was expressed in all cells strongly and ZFAS1 was negative or weakly expressed in all specimens. Conclusion These data corroborate the involvement of three lncRNAs ( HOTAIR , H19 and KCNQ1OT1 ) in breast tumourigenesis and support lncRNA CISH as a potential clinical assay. Importantly, CISH allows identification of the tissue compartment expressing lncRNA.

This paper presents a novel MEMS-based integrated current and voltage sensor for the measurement of voltage and current in power distribution networks. It adopts three-dimensional (3D) induction coil as current sensor and two asymmetric sensing electrodes as voltage sensor to detect voltage and current simultaneously. A micromachining fabrication process is proposed to fabricate the integrated current and voltage sensor. The proposed sensor has the advantages of small size, low power consumption and convenience for installation. Experimental results show that in the current range of 0∼60A, the linearity errors of sensor are within 0.58%; in the voltage range of 0∼1.2kV, the linearity errors of sensor are within 0.30%.

One of the major concerns in developing three-dimensional (3D) electric field sensor (EFS) is its susceptibility to cross-axis coupling interference. The output signal for each sensing axis of a 3D EFS is properly coupled by electric field components from other two orthogonal sensing axes. In this paper, a novel electric field microsensor with low cross-axis coupling interference is presented. The microsensor chip contains a pair of symmetrically located in-plane differential sensing structures, which makes the microsensor chip capable of sensing in-plane electric field parallel to sensing structures and reducing cross-axis coupling interference. Therefore, a 3D EFS with low cross-axis coupling interference can be realized with three microsensor chips. Simulation results show that the outputs of the 3D EFS are in good accordance with electric field components along its sensing axes without coupling interference. Experiments have proved that the microsensor chip is capable of measuring the electric field component along its sensing axis.

The excision repair cross-complementation group 1 (ERCC1) plays an essential role in DNA repair and has been linked to resistance to platinum-based anticancer drugs among advanced non-small cell lung cancer (NSCLC) patients. We systematically evaluate whether ERCC1 Asn118Asn and C8092A genetic variants are associated with treatment response of platinum chemotherapy. We preformed a meta-analysis using ten eligible cohort studies (including 11 datasets) with a total of 1,252 NSCLC patients to summarize the existing data on the association between the ERCC1 Asn118Asn and C8092A polymorphisms and response to platinum regiments. Odds ratio or hazard ratio with 95% confidence interval were calculated to estimate the correlation. We found that neither ERCC1 C8092A polymorphism nor Asn118Asn variant is associated with different response of platinum-based treatment among advanced NSCLC patients. Additionally, these two genetic variants are not related to treatment response in either Caucasian patients or Asian patients. Our meta-analysis indicates that the ERCC1 Asn118Asn and C8092A polymorphisms may not be good prognostic biomarkers for platinum-based chemotherapy in patients with stage III-IV NSCLC.