Tubulin tyrosine ligase like 12 (TTLL12), a member of the tubulin tyrosine ligase (TTLL) family, has not been completely characterized to date. It is reported that histone methylation, tubulin modifications, mitotic duration and chromosome ploidy play crucial roles in a variety of cancers, and are related to tumorigenesis and cancer progression. A recent study showed that TTLL12 may be a pseudo-enzyme which has a SET-like domain and a TTL-like domain. In the present study, we first used 3'-rapid amplification of cDNA ends (3'-RACE) to amplify the transcripts of the TTLL12 gene from a human lung cancer cell line H1299, and unexpectedly discovered a new transcript isoform characterized with an additional 108-bp nucleotide sequence inserted at the location from 902 to 903 bases of the TTLL12 coding sequence (CDS), where it also locates between exons 5 and 6. Next, utilizing RT-PCR and Sanger sequencing, we further confirmed the existence of such a new transcript isoform of TTLL12 in more human cancer cells including lung cancer cells and other cancer cells. Moreover, several lung cancer cell lines were found to display a much higher proportion of the new isoform compared with TTLL12 wild-type transcript. These results suggest that the new TTLL12 isoform may be of importance for proper maintenance of lung cancer cells. Therefore, the new isoform of TTLL12, with the inserted sequences probably acting as a disordered region, provides a novel perspective regarding TTLL12 functions in human cancers including lung cancer.
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http://dx.doi.org/10.3892/or.2016.5135 | DOI Listing |
Sci Rep
December 2024
Interventional Oncology, Johnson & Johnson Enterprise Innovation, Inc, 10th Floor 255 Main St, 02142, Cambridge, Boston, MA, USA.
The introduction of anti-PD-1/PD-L1 therapies revolutionized treatment for advanced non-small cell lung cancer (NSCLC), yet response rates remain modest, underscoring the need for predictive biomarkers. While a T cell inflamed gene expression profile (GEP) has predicted anti-PD-1 response in various cancers, it failed in a large NSCLC cohort from the Stand Up To Cancer-Mark (SU2C-MARK) Foundation. Re-analysis revealed that while the T cell inflamed GEP alone was not predictive, its performance improved significantly when combined with gene signatures of myeloid cell markers.
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December 2024
Department of Surgery, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
Background: Benzodiazepines are the third most misused medication, with many patients having their first exposure during a surgical episode. We sought to characterize factors associated with new persistent benzodiazepine use (NPBU) among patients undergoing cancer surgery.
Patients And Methods: Patients who underwent cancer surgery between 2013 and 2021 were identified using the IBM-MarketScan database.
Sci Rep
December 2024
Department of Radiology, Veterans Health Service Medical Center, Seoul, Republic of Korea.
This study aimed to compare computed tomography (CT) findings between basaloid lung squamous cell carcinoma (SCC) and non-basaloid SCC. From July 2003 to April 2021, 39 patients with surgically proven basaloid SCC were identified. For comparison, 161 patients with surgically proven non-basaloid SCC from June 2018 to January 2019 were selected consecutively.
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December 2024
Precision Medicine Center, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510000, China.
Polyomavirus enhancer activator 3 (PEA3), an ETS transcription factor, has been documented to regulate the development and metastasis of human cancers. Nonetheless, a thorough analysis examining the relationship between the PEA3 subfamily members and tumour development, prognosis, and the tumour microenvironment (TME) across various cancer types has not yet been conducted. The expression profiles and prognostic significance of the PEA3 subfamily were evaluated using data from the GEO, TCGA, and PrognoScan databases, in conjunction with COX regression analyses and the Kaplan-Meier Plotter.
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December 2024
The Engineering & Technical College of Chengdu University of Technology, Xiaoba Road, Leshan, 614000, China.
Many conditions, such as pulmonary edema, bleeding, atelectasis or collapse, lung cancer, and shadow formation after radiotherapy or surgical changes, cause Lung Opacity. An unsupervised cross-domain Lung Opacity detection method is proposed to help surgeons quickly locate Lung Opacity without additional manual annotations. This study proposes a novel method based on adversarial learning to detect Lung Opacity on chest X-rays.
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