Non-small cell lung cancer

METTL3 regulatory TROAP can regulate the progression of non-small cell lung cancer through PI3K/AKT and EMT signaling pathway

TROAP, interacts with trophinin and bystin, polys a key role in embryo implantation. TROAP is required for spindle assembly and centrosome integrity during the mitosis. TROAP has been described to promote tumorigenesis in a diverse range of cancer. We performed this study to assess the biological and clinical significance of TROAP in Non-small cell lung cancer. Forty-eight pairs of lung adenocarcinoma (LUAD) tissues and paraneoplastic tissues were collected. RT-qPCR, western bolt and immunohistochemistry assay was used to test TROAP RNA and protein expression not in LUAD tissues and paraneoplastic tissues but in LUAD cell lines and control cell lines. TROAP knockdown and overexpression vector were constructed and transfected into lung cancer cells. CCK-8, transwell, and wound healing assays were used to assess cell viability, migration, and invasion. The expression of PI3K/AKT and EMT signaling proteins and METTL3 were determined by western blot. We found the TROAP was enriched in NSCLC tissues and cell lines. TROAP knockdown inhibited cell proliferation, migration, invasion compared with control group in NSCLC. Mechanism analysis revealed that TROAP activated PI3K/AKT and EMT signaling pathway. To a certain extent, TROAP was regulated by METTL3. In a word, TROAP accelerated the progression of NSCLC through PI3K/AKT and EMT pathway, and TROAP might be considered as a novel target for NSCLC therapy.

A deep learning model for the classification of indeterminate lung carcinoma in biopsy whole slide images

The differentiation between major histological types of lung cancer, such as adenocarcinoma (ADC), squamous cell carcinoma (SCC), and small-cell lung cancer (SCLC) is of crucial importance for determining optimum cancer treatment. Hematoxylin and Eosin (H&E)-stained slides of small transbronchial lung biopsy (TBLB) are one of the primary sources for making a diagnosis; however, a subset of cases present a challenge for pathologists to diagnose from H&E-stained slides alone, and these either require further immunohistochemistry or are deferred to surgical resection for definitive diagnosis. We trained a deep learning model to classify H&E-stained Whole Slide Images of TBLB specimens into ADC, SCC, SCLC, and non-neoplastic using a training set of 579 WSIs. The trained model was capable of classifying an independent test set of 83 challenging indeterminate cases with a receiver operator curve area under the curve (AUC) of 0.99. We further evaluated the model on four independent test sets-one TBLB and three surgical, with combined total of 2407 WSIs-demonstrating highly promising results with AUCs ranging from 0.94 to 0.99.

WITHDRAWN: MicroRNA-505 modulates cancer proliferation and migration in human non-small cell lung cancer through inverse regulation of FZD4

This article has been withdrawn at the request of the Editor-in-Chief. Following peer-review and acceptance of the above referenced paper for publication in Lung Cancer, the Editor-in-Chief was contacted by the Editor-in-Chief of the journal, Gene Therapy, with information that the manuscript had simultaneously been submitted to both Lung Cancer and Gene Therapy. A referee selected to review the manuscript for Gene Therapy was also contacted by the Editor-in-Chief of the journal, Respiratory Research, with a request to review the same manuscript for that journal. The three journals ascertained that the manuscript had been simultaneously submitted to all three journals. In addition, as part of their investigation of potential simultaneous submission, the Editors of Lung Cancer compared the manuscript submitted to Gene Therapy with that accepted for publication in Lung Cancer, and this has raised concerns related to the data presented in the paper. The paper accepted for publication in Lung Cancer examines A549 and H810 cells. The paper submitted to Gene Therapy examines A549 and H510A cells. However, the data presented in both papers, including the figures, are identical. The Editors of Lung Cancer have asked the authors for an explanation, but the corresponding author has not responded. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

Pulmonary cancer from the general practitioner's point of view. Experience from the health centre area of Kungsbacka, Sweden

OBJECTIVE

To study the incidence of pulmonary cancer in a community with special reference to the diagnostic process and the role of the general practitioner.

DESIGN

Study of the records of all patients within the community with pulmonary cancer reported to the Swedish Cancer Registry during the years 1980-1984.

SETTING

The community of Kungsbacka in southwestern Sweden with about 48,000 inhabitants.

PARTICIPANTS

40 subjects with pulmonary cancer.

OUTCOME MEASURES

Incidence, main symptoms, level of care, doctor delay, survival rate.

RESULTS

The incidence was 16 per 100,000 per year. Most patients first visited a general practitioner. Most common initial symptom was cough. Mean doctor delay was 12.5 weeks. The five-year mortality rate was 95%.

CONCLUSION

The high mortality emphasizes the importance of an early diagnosis. The general practitioners are very important in the diagnostic process.