0.05).There was significant difference in lymph node metastatic rate between poorly-differentiated and undifferentiated adenocarcinoma(17.83%) compared with well-differentiated and middle-differentiated adenocarcinoma(1.58%)(P

Objective:To establish a method based on the iPLEX analysis of MassARRAY mass spectrometry platform to detect multiplex genetic mutations among Chinese lung cancer patients. Methods:We reviewed the related literature and data of lung cancer treatments. We also determined 99 mutation hot spots in 13 target genes, namely, EGFR, KRAS, ALK, FGFR1, FGFR2, FGFR3, PIK3CA, BRAF, PTEN, MET, ERBB2, AKT1, and STK11, which are closely related to the pathogenesis, drug resistance, and metastasis of lung cancer and are associated with relevant transduction pathways. A total of 297 primers comprising 99 paired forward and reverse amplification primers and 99 matched extension primers were designed by using Assay Design in accordance with the mutation label and format requirements of the MassARRAY platform. The detection method was established by analyzing eight cell lines and six lung cancer specimens;the proposed method was then validated through comparisons with a LungCarta kit. The sensitivity and specificity of the proposed method were evaluated by directly sequencing EGFR and KRAS genes in 100 lung cancer cases. Results:The proposed method could detect multiplex genetic mutations in the lung cancer cell lines, and this finding is consistent with that observed using previously reported methods. The proposed method could also detect such mutations in clinical lung cancer specimens;this result is also consistent with that observed by using the LungCarta kit. However, an FGFR2 mutation was detected only by using the proposed method. The measured sensitivity and specificity were 100%and 96.3%, respectively. Conclusion:The proposed MassARRAY technology-based method could detect multiplex genetic mutations among Chinese lung cancer patients. Indeed, the proposed method can be potentially applied to detect mutations in cancer cells.

ObjectiveTo investigate the fusion sequence complexity of EML4-ALK in non-small cell lung cancer (NSCLC) patients,and the potential mutation in tyrosine kinase ( TK ) domain of ALK gene.MethodsIn routine practice,a novel echinoderm microtubule-associated protein-like4 and anaplastic lymphoma kinase (EML4-ALK) V3c variant was detected by rapid amplification of cDNA ends-polymerase chain reaction ( RACE-PCR )-sequencing technology in a patient with NSCLC.The further consecutive 39 cases( total of 40 cases)were screened by use of reverse transcription (RT)-PCR for EML4-ALK fusion.Positive PCR products were purified and cloned into T vectors,transformed into DH5a germ cells and colony picked up and sequenced for sequence complexity analysis.Tyrosine kinase domain of ALK was amplified by RT-PCR and sequenced.ResultsThree out of 40 cases had EML4-ALK fusion.One case had six novel variants of EML4-ALK co-existing,termed as V3c ( 64.6％ ),V3d ( 25.0％ ),V3e ( 2.1％ ),V3f (4.2％ ),V3g(2.1％ )and V3h(2.1％ ) variants,whereas without common V3a and V3b variants.In other two positive cases,one was V1 variant,another was concurrent V2,V3a and V3b variants.No mutations were detected in the TK domain of EML4-ALK in any case.ConclusionsSeveral EML-ALK variants could co-exist in a given lung cancer tissue,which suggest that the diversity and sequence complexity of EML4-ALK fusion are exist.Attentions should be paid to screen all the variants in clinic to improve the pick-up rate.

OBJECTIVESTo compare the paravertebral muscle (such as multifidus, erector spinae, psoas muscle) changes between the patients with degenerative lumbar instability and normal person by MRI and to observe the degeneration of paravertebral muscles. To analyze the relationship between paravertebral muscle degeneration and lumbar curvature of degenerative lumbar instability.

METHODSSixty patients with degenerative lumbar instability were retrospectively enrolled from December 2011 to July 2013 as degeneration group, meanwhile 60 health persons with no degenerative lumbar instability were selected as control group. No significant differences were found in the gender, age and body mass index between the two groups. The cross-sectional area(CSA) and percentage of fat infiltration area (FIA) of the paravertebral muscles at the L4-S1 levels were measured using T2-weighted axial MRI and Image J soft ware. And the lumbar curvature(expressed as lumbar lordosis angle) of all the patients in lumbar X-ray were measured in the two groups. The measured data were analyzed with independent samples t-test.

RESULTSThe difference of multifidus cross-sectional area and the percentage of fat infiltration in the patients of degenerative lumbar instability at the L4-L5, L5-S1 level, compared with the control group, was statistically significant (t = 2.768, t = 6.216, P < 0.05). Between the two groups, the percentage of fatty infiltration in erector spinae showed significant differences (t = 5.862, P < 0.05). The cross-sectional area of erector spinae and the degeneration of the psoas muscle between the two groups was not statistically significant. The lumbar lordsis angle in the patients with degenerative lumbar instability was (43.9 ± 15.6)°, which was higher than the (39.3 ± 14.2)° in control group (t = 2.915, P < 0.05).

CONCLUSIONSCompared with the control group, patients with degenerative lumbar instability exists erector spinae and multifidus muscle degeneration, and erector spinae is more obvious. The degeneration among psoas muscle, erector spinae and multifidus muscle are inconsistent, which may be related to the increasing of the lumbar lordosis angle in the patients with degenerative lumbar instability.

Aged ; Case-Control Studies ; Female ; Humans ; Joint Instability ; diagnosis ; etiology ; pathology ; Lumbosacral Region ; physiopathology ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Muscle, Skeletal ; pathology ; Muscular Atrophy ; complications ; diagnosis ; pathology

BACKGROUND: The switch/sucrose nonfermentable chromatin-remodeling (SWI/SNF) complex is a pivotal chromatin remodeling complex, and the genomic alterations (GAs) of the SWI/SNF complex are observed in several cancer types, correlating with multiple biological features of tumor cells. However, their role in liver metastasis of non-small cell lung cancer (NSCLC) remains unclear. Our study aims to investigate the role and potential mechanisms underlying NSCLC liver metastasis induced by the GAs of SWI/SNF complex. METHODS: The GAs of SWI/SNF complex in NSCLC cell lines (H1299, H23 and H460) were identified by whole-exome sequencing (WES). ARID1A knockout H1299 cell was constructed with the CRISPR/Cas9 technology. The mouse model of liver metastasis from NSCLC was established to simulate lung cancer liver metastasis and observe the metastasis rate under different gene mutation conditions. RNA sequencing and Western blot were conducted for differential gene expression analysis. Immunohistochemistry (IHC) analysis was used to assess protein expression levels of SWI/SNF-regulated target molecules in mouse liver metastases. RESULTS: WES analysis revealed intracellular gene mutations. The animal experiments demonstrated a correlation between the GAs of SWI/SNF complex and a higher liver metastasis rate in immunodeficient mice. Transcriptome sequencing and Western blot analysis showed upregulated expression of ALDH1A1 and APOBEC3B in SWI/SNF-mut cells, particularly in ARID1A-deficient H460 and H1299 sgARID1A cells. IHC staining of mouse liver metastases further demonstrated elevated expression of ALDH1A1 in the H460 and H1299 sgARID1A group. CONCLUSIONS This study underscores the critical role of the GAs of SWI/SNF complex, such as ARID1A and SMARCA4, in promoting liver metastasis of lung cancer cells. The GAs of SWI/SNF complex may promote liver-specific metastasis by upregulating ALDH1A1 and APOBEC3B expression, providing novel insights into the molecular mechanisms underlying lung cancer liver metastasis.
Animals ; Mice ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation ; Liver Neoplasms/genetics*