Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 414

Guest Editors: Prof. Robert Mannel, MD, University of Oklahoma HSC Prof. Judith Campisi, PhD, Buck Institute for Research on Aging Prof. Balazs Gyorffy, MD, PhD, Semmelweis University Prof. Anna Csiszar, MD, PhD, University of Oklahoma HSC Prof. Peter Bai, PhD, University of Debrecen.

The field of geroscience, focusing on the biology of aging, has revealed fascinating insights into the intricate relationship between aging and cancer. As the incidence of numerous cancer types exponentially increases with advancing age, understanding the cellular and molecular mechanisms underlying aging becomes crucial in deciphering the genesis and progression of cancer. We invite researchers to submit papers that shed light on specific mechanisms of aging that play pivotal roles in the development and progression of cancer, serve as targets for cancer treatments and contribute to the side effects of cancer therapies. Additionally, we are also interested in exploring the potential of aging-related biomarkers, including gene expression profiles associated with aging processes, as predictors of cancer survival.

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📢New in GeroScience by Springer Nature.

Senescence cell signature associated with poor prognosis, epithelial–mesenchymalion, solid histology, and spread through air spaces in lung adenocarcinoma by Young Wha Koh, Jae-Ho Han, Seokjin Haam & Hyun Woo Lee.

Cellular senescence is involved in critical processes in tumor progression. Despite this potential relationship, the relationship between tumor cell senescence, prognostic significance, spread through air spaces (STAS), and tumor histology has not been investigated in lung adenocarcinoma (LUAD). We used the LUAD PanCancer Atlas dataset to assess senescence cell signature (SCS) based on the SenMayo gene set. We examined the relationship between SCS, prognostic significance, STAS, and tumor histology. This relationship was confirmed in independent LUAD datasets by validation using immunohistochemical senescence markers. In the LUAD PanCancer Atlas dataset, patients with high SCS expression had a higher prevalence of solid histology and STAS patterns than those with low SCS expression.

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An interdisciplinary collaboration between condensed-matter, quantum-optics and particle physicists has the potential to crack the search for low-mass dark matter. The proposed quantum detector builds on EQUS studies of elementary excitations in superfluid helium and advances in opto-mechanics.

Led by EQUS Research Fellow Dr. Chris Baker (UQ), study proposes direct detection of low-mass dark matter via its interactions with confined in an optomechanical cavity.

“Optomechanical dark matter instrument for direct detection” was published in Physical Review D in August 2024.

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Scientists have achieved unprecedented control over quantum transport using a 31-qubit superconducting processor, opening new possibilities for next-generation electronics and thermal management. This approach allows researchers to observe and manipulate quantum particles with extraordinary precision, potentially revolutionizing how we develop future technologies.

The research, led by teams from Singapore and China, marks a significant advance in understanding how particles, energy, and information flow at the quantum level. This breakthrough could accelerate development of more efficient nanoelectronics and thermal management systems.

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Researchers at the University of Adelaide, as part of an international team, have developed an approach that makes advanced microscopy possible through an optical fiber thinner than a human hair.

“Recent advances in optics have made it possible to controllably deliver light through extremely thin optical fibers, but delivering more complicated light patterns that are needed to perform advanced microscopy has eluded researchers until now,” said Dr. Ralf Mouthaan from the University of Adelaide’s Center of Light for Life, who undertook the project.

With a footprint far smaller than any other fiber imaging device, this will enable microscope images to be collected from previously inaccessible parts of the human body, while minimizing associated tissue damage.

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