Publications by authors named "R K Kanchan"

MYC is one of the most deregulated oncogenic transcription factors in human cancers. MYC amplification/or overexpression is most common in Group 3 medulloblastoma and is positively associated with poor prognosis. MYC is known to regulate the transcription of major components of protein synthesis (translation) machinery, leading to promoted rates of protein synthesis and tumorigenesis.

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Purpose: Breast cancer (BC) brain metastasis (BrM) remains a significant clinical problem. Mucins have been implicated in metastasis; however, if they are also involved in BCBrM remains unknown. We queried BrM patient databases and found Mucin 5AC (MUC5AC) to be upregulated and therefore sought to define the role of MUC5AC in BCBrM.

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The nuclear factor I (NFI) family of transcription factors plays a decisive role in organ development and maturation. Their deregulation has been linked with various diseases, most notably cancer. NFIB stands apart from the other NFI family members given its unique ability to drive both tumor suppressive and oncogenic programs.

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Article Synopsis
  • The urban heat island (UHI) effect results from factors like unregulated land use and increased urban populations, leading to warmer city centers compared to their natural surroundings, necessitating urgent sustainable urban planning.
  • The study analyzed land use changes and various spectral indices from satellite data over 22 years, revealing significant increases in built-up areas and water bodies, along with a rise in land surface temperature (LST) and UHI intensity.
  • Findings highlight an inverse relationship between LST and vegetation/water indices, while emphasizing the need for green spaces and sustainable planning to control rising temperatures and mitigate the UHI effect.
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  • Meteorological conditions play a crucial role in influencing air quality, particularly in pollution-heavy urban areas like Asansol, West Bengal.
  • This study examines how various meteorological factors (like temperature, humidity, rainfall, and wind speed) relate to key air pollutants (such as PM, NO, and SO) from January 2019 to December 2023, revealing an overall decrease in pollutant levels.
  • Findings indicate that temperature and rainfall significantly affect pollutant concentrations, with negative correlations observed for most conditions, while the research improves predictions of air quality by factoring in seasonal changes and meteorological influences.
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