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Cancers Originate from Somatic Mutations in a Single Cell02:21

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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
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Updated: Sep 9, 2025

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159,297人の症例と212,102人の対照群における複数の祖先の研究における乳がんリスクの遺伝子と細胞構造

James L Li, Maria Zanti, Jacob Williams

    medRxiv : the preprint server for health sciences
    |September 5, 2025
    PubMed
    まとめ

    この研究は,異なる祖先の乳がんの共通遺伝的基盤を明らかにし,共通の規制変種と細胞タイプを特定しています. この発見は,乳がんの遺伝学を全面的に理解するために,多祖先の全ゲノム関連研究の重要性を強調しています.

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    科学分野:

    • 遺伝学
    • 腫瘍学
    • 人口遺伝学

    背景:

    • 全ゲノム関連研究 (GWAS) では200以上の乳がん感受性マーカーが特定されています.
    • これまでのGWASのほとんどは 限られた祖先集団に焦点を当てており 潜在的により広範な遺伝的洞察を欠いている.

    研究 の 目的:

    • 乳がんの遺伝的構造を 研究する
    • 乳がんのリスクに影響を与える 共通の遺伝的要因を特定する
    • 複数の祖先のデータを用いて乳がんの感受性の細胞基礎を調査する.

    主な方法:

    • アフリカ (AFR),東アジア (EAS),ヨーロッパ (EUR),ヒスパニック/ラティーナ (H/L) の集団からのGWASの概要統計を用いて,合計159,297例と212,102件の対照群を調査した.
    • 感受性の場所の数を推定するために稀な正常混合効果モデルを使用した.
    • Tabula Sapiensの単細胞RNA配列アトラスとGWASデータを統合した.

    主要な成果:

    • 遺伝性と感受性のマーカーの推定数は,祖先間で有意な違いを示さなかった.
    • クロスサンプルの遺伝的相関は様々で,ヨーロッパと東アジアの人口の間で最も強い.
    • 免疫細胞と上皮細胞を含む乳がんとの共同祖先の細胞関連性を発見した.

    結論:

    • 乳がんは様々な祖先に共通する 多遺伝子構造を示しています
    • 一般的な規制変異は,集団全体で乳がんの感受性において一貫した役割を果たします.
    • 単細胞分析では 祖先の間で乳がんのリスクに関連した 収束細胞シグネチャが明らかになりました