114 年 國立臺灣大學國際三校農業生技與健康醫療碩士學位學程《全球生技與醫療策略》

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第 1 題

This December, Webster and Healey published a review in Nature Medicine regarding the clinical trials that will
shape medicine in 2025. Please read through the excerpts from their article provided below, choose any two (2)
topics to your favor, and elaborate the followings for each of them:
a. A graphic summary of the clinical trail. Use freely scheme plots, time lines, drawings etc. at your choice. (40%)
b. Your comment on the science behind this trial. (20%)
c. Your critique on the significance of this trial. (20%)
d. If the trial is to be conducted in Taiwan, Japan and France, what are some challenges you may expect to happen?
(20%)

  1. Precision nutrition in a diverse cohort
    Leanne Redman: People experience a large variation in health benefits in response to foods and diets. Traditional
    approaches to dietary intervention studies (comparing diet A to diet B or C) inform US dietary guidelines, despite
    the fact that such trials typically study the effects of diet in narrow groups of the population (without the full range
    of adult age, gender groups and socioeconomic classes). Basing guidelines on the efficacy of a diet in an entire
    group ignores people who, for whatever reason, had a smaller or greater benefit of that diet on health outcomes. The
    US National Institutes of Health-funded Nutrition for Precision Health project (which is partnered with the All of
    Us research program) seeks to explore the factors that explain why people respond differently to the same foods.
    The project will study more than 8,000 adults, with few exclusion criteria, in the context of their usual medications
    and health conditions, which is intended to expand the reach of current nutritional guidelines. After mapping how a
    person's usual diet, genetics, microbiome, lifestyle habits and medical and health history influence their response to
    a meal test, scientists will use this information to predict how they will respond to three types of eating patterns
    after 2 weeks. As the three eating patterns differ in their amounts and types of carbohydrates, fats, proteins, fruits
    and vegetables, fiber, nuts, fish, dairy and processed and unprocessed foods, for example, the scientists will rely on
    advanced statistical models and machine learning to first identify the factors or individual-level features with the
    greatest relevance to a dietary response, and then to predict those foods and eating patterns likely to foster benefit
    for people. All data collection will be completed by the summer of 2026. We expect papers providing a first look at
    the data in early 2025.
  2. Cool roofs to prevent heat-related disease
    Aditi Bunker: Our group conducts pragmatic, real-life trials around the world to test various
    climate-change-adaptation interventions, with a focus on improving population health and environmental and
    economic outcomes. One of the interventions we are currently studying is the use of 'cool roofs', which are highly
    reflective roof coatings that help reduce indoor temperatures by reflecting solar radiation and preventing heat
    transfer into buildings. These roofs are easy to implement and affordable and have immediate benefits, which makes
    them ideal for vulnerable communities affected by extreme heat, such as those in regions like West Africa, where
    heat exposure is causing death and illness. We are working with the local community and employing and training
    local people to implement cool roofs for community members.

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這一題的完整詳解

這是一道綜合題,要求考生從提供的兩項研究(精準營養與涼感屋頂)中選擇其中一項,並針對該研究進行深入分析。分析面向包含臨床試驗的圖示化呈現、科學原理的評論、研究的重要性評估,以及在不同國家(台灣、日本、法國)進行試驗時可能面臨的挑戰。

由於題目要求選擇「任兩項主題」,但下方只列出兩項研究(1. 精準營養,2. 涼感屋頂),因此考生應從這兩項研究中各選擇一項,或是對其中一項進行深入剖析,並依據 (a) 到 (d) 四個子題的要求進行闡述。以下以選擇「精準營養」和「涼感屋頂」這兩項主題,並分別回答子題 (a) 至 (d) 為例,進行詳解。

針對主題 1:精準營養 in a diverse cohort

(a) A graphic summary of the clinical trail. Use freely scheme plots, time lines, drawings etc. at your choice. (40%)

  • 研究名稱: 美國國家衛生研究院資助的「精準健康營養計畫」(Nutrition for Precision Health project),與「All of Us」研究計畫合作。
  • 研究目標: 探索影響個體對相同食物反應差異的因素,以制定更個人化的飲食指南。
  • 研究對象: 預計招募超過 8,000 名成人,排除標準較少,納入考量個體的常規用藥與健康狀況。
  • 研究方法:
    1. 數據收集: 記錄參與者一週的飲食、基因、微生物群、生活習慣、醫療與健康史,並進行一次餐點測試,觀察其反應。
    2. 模型建立: 利用先進統計模型和機器學習,識別影響飲食反應的關鍵因素。
    3. 預測與評估: 根據上述資訊,預測參與者在兩週內對三種不同飲食模式(碳水化合物、脂肪、蛋白質、蔬果、纖維、堅果、魚、乳製品、加工與非加工食品的種類與份量不同)的反應。
  • 時間軸 (Timeline):
    • 數據收集完成: 2026 年夏季
    • 初步數據分析報告發表: 2025 年初
  • 視覺化呈現 (Graphic Summary):
    • 流程圖 (Flowchart):
      • 參與者招募 (8000+ adults) → 飲食/基因/生活習慣/健康史記錄 → 餐點測試與反應記錄 → 數據分析 (統計模型/機器學習) → 識別關鍵影響因子 → 預測三種飲食模式反應 → 制定個人化飲食建議。
    • 概念圖 (Concept Map):
      • 中心主題: 精準營養
      • 分支 1: 影響因素 (基因, 微生物, 生活習慣, 飲食, 健康史)
      • 分支 2: 研究方法 (數據收集, 模型建立, 預測)
      • 分支 3: 預期成果 (個人化飲食指南, 提升健康效益)
      • 分支 4: 實施計畫 (US NIH, All of Us, 2026年完成)

(b) Your comment on the science behind this trial. (20%)

  • 核心科學原理: 個體化差異 (Individual Variability) 在營養代謝與健康反應中的重要性。傳統營養學多基於大規模群體研究,忽略了顯著的個體差異。此研究採用了精準醫學 (Precision Medicine) 的概念,結合多維度數據 (omics, lifestyle, medical history) 來理解和預測個體對飲食的反應。
  • 科學方法論:
    • 多因子分析 (Multi-factor Analysis): 整合基因組學 (genomics)、微生物組學 (microbiome)、生活習慣、飲食記錄等多方面數據,這符合當前生物醫學研究的趨勢,試圖從更全面的角度理解複雜的生物系統。
    • 機器學習與統計模型 (Machine Learning & Statistical Modeling): 運用先進的數據分析工具來處理龐大且複雜的數據集,識別潛在的模式和預測因子,這對於揭示複雜的生物學關聯至關重要。
    • 系統生物學 (Systems Biology) 觀點: 該研究試圖將人體視為一個複雜的系統,食物的攝取是輸入,而健康反應是輸出,中間涉及多個相互作用的組件。

(c) Your critique on the significance of this trial. (20%)

  • 正面意義:
    • 突破傳統限制: 克服了傳統飲食指南過於籠統、無法涵蓋所有個體差異的缺點,有望制定更有效、更個人化的飲食建議。
    • 提升健康效益: 透過精準營養,可能更有效地預防或管理慢性疾病(如心血管疾病、糖尿病等),提升全民健康水平。
    • 推動精準醫學: 該研究是精準醫學在營養領域的重要應用,有助於推動整個醫療健康領域的個人化發展。
    • 數據科學應用: 展示了數據科學和機器學習在解決複雜健康問題上的巨大潛力。
  • 潛在限制與挑戰:
    • 數據複雜性與準確性: 收集和分析大量、多樣化的數據(尤其是飲食記錄、生活習慣等主觀報告)的準確性可能是一個挑戰。
    • 模型的可解釋性: 機器學習模型可能存在「黑盒子」問題,其預測結果的生物學機制可能不易完全理解。
    • 實施的普及性: 將複雜的精準營養建議轉化為普通民眾易於理解和執行的方案,需要克服溝通和教育上的挑戰。
    • 倫理與隱私: 收集如此詳細的個人健康數據,需要嚴格的隱私保護和倫理考量。

(d) If the trial is to be conducted in Taiwan, Japan and France, what are some challenges you may expect to happen? (20%)

  • 共同挑戰 (適用於三國):
    • 文化飲食差異: 三國的傳統飲食習慣、食材、烹飪方式差異巨大,這會影響研究結果的普遍性,也需要調整飲食模式的設計。
    • 語言與溝通: 需要將研究工具、問卷、飲食建議翻譯成當地語言,並確保溝通的準確性。
    • 招募與納入標準: 確保研究對象能夠涵蓋不同年齡、性別、社會經濟階層,並符合各國的健康狀況。
    • 數據收集與標準化: 確保跨國數據收集的一致性與標準化,尤其是在飲食記錄和生活習慣的採集上。
    • 法規與倫理審查: 各國對於人體研究的法規和倫理審查標準可能不同,需要個別申請和遵循。
  • 台灣的挑戰:
    • 飲食習慣多樣性: 台灣融合了本省、外省、原住民及新住民的飲食文化,多樣性高。
    • 食品加工與添加物: 台灣市售食品的種類繁多,加工食品及食品添加物的考量需要納入。
    • 健保資料整合: 台灣有全民健保,若能整合健保數據,將有助於了解參與者的健康史,但需克服數據調閱的法規限制。
  • 日本的挑戰:
    • 高齡化社會: 日本是高齡化社會,老年人的飲食需求與健康狀況與年輕族群不同,需要特別關注。
    • 精緻飲食文化: 日本的飲食文化講究精緻,可能影響參與者對「份量」和「種類」的理解與記錄。
    • 對新技術的接受度: 雖然日本科技發達,但對於涉及大量個人健康數據的項目,民眾的接受度需要評估。
  • 法國的挑戰:
    • 飲食文化與社交性: 法國飲食文化具有強烈的社交屬性,用餐時間、場合可能影響飲食記錄的準確性。
    • 對「健康」的定義: 法國人可能更注重飲食的「品質」和「享受」,而非單純的「健康效益」,研究設計需考慮此點。
    • 食品標示與分類: 法國的食品標示系統與美國可能不同,需要適應。

針對主題 2:涼感屋頂 to prevent heat-related disease

(a) A graphic summary of the clinical trail. Use freely scheme plots, time lines, drawings etc. at your choice. (40%)

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第 2 題

Our trial in Burkina Faso, in West Africa, included 1,200 participants from 600 households in 25 villages; it
recently ended, and we are analyzing the results. We randomly assigned the households to receive the cool roof or
not, and tracked outcomes over 2 years, focusing on heart rate as the primary marker, owing to its sensitivity to heat
exposure. Secondary outcomes we measured included blood pressure, body temperature, blood glucose, dehydration
and stress. We also explored mental health, sleep quality and even gender-based violence, as heat has wide-ranging
effects on people's wellbeing.
The goal is to determine if there is a causal link between the cool-roof intervention and improvements in human
health. By using both objective measures (such as biomarker data) and subjective measures of participants' reported
experiences, we aim to capture the full picture of how heat impacts health and how well interventions such as this
can mitigate those effects. This trial will help us determine whether these interventions should be scaled up locally.
We believe this work has the potential to improve the lives of people in some of the world's most heat-affected
regions.

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這一題的完整詳解

此題是第一題的延續,要求考生針對「涼感屋頂以預防熱相關疾病」這個主題,深入回答 (a)(d) 四個子題。由於第一題的 (a)(d) 題幹與此處的內容是相連的,因此此題的詳解將聚焦於「涼感屋頂」主題本身,並補充第一題中未涵蓋的細節。

針對主題 2:涼感屋頂 to prevent heat-related disease

(a) A graphic summary of the clinical trail. Use freely scheme plots, time lines, drawings etc. at your choice. (40%)

  • 研究名稱: 涼感屋頂 (Cool Roofs) 介入措施的實用性試驗。
  • 研究目標: 測試涼感屋頂在改善人口健康、環境和經濟方面的氣候變遷適應性介入措施。
  • 研究地點: 全球多地進行實地試驗,特別關注西非等極端高溫地區。
  • 研究方法 (基於 Burkina Faso 試驗):
    1. 研究設計: 隨機對照試驗 (RCT)。
    2. 研究對象: 1,200 名參與者,來自 600 個家庭,分佈在 25 個村莊。
    3. 介入措施: 隨機將家庭分為兩組:一組安裝涼感屋頂 (cool roof),另一組則不安裝 (control group)。
    4. 追蹤時間: 2 年。
    5. 主要測量指標:
      • 心率 (Heart Rate): 作為對熱暴露敏感度的主要指標。
    6. 次要測量指標:
      • 血壓 (Blood Pressure)
      • 體溫 (Body Temperature)
      • 血糖 (Blood Glucose)
      • 脫水狀況 (Dehydration)
      • 壓力指數 (Stress)
    7. 探索性測量指標:
      • 心理健康 (Mental Health)
      • 睡眠品質 (Sleep Quality)
      • 性別暴力 (Gender-based Violence): 探討熱暴露對人類福祉的廣泛影響。
    8. 評估方法: 結合客觀測量 (如生物標記數據) 和主觀報告 (參與者經歷)。
  • 研究目標總結: 確定涼感屋頂介入與人類健康改善之間是否存在因果關係,並評估此類介入措施的潛在規模化應用。
  • 時間軸 (Timeline):
    • 研究於布吉納法索近期結束,目前正在分析結果。
    • 預期能為受高溫影響最嚴重的地區,提供改善生活的潛力。
  • 視覺化呈現 (Graphic Summary):
    • 流程圖 (Flowchart):
      • 起點: 選擇受高溫影響嚴重的地區 (如西非)。
      • 介入設計: 隨機分派 600 個家庭至「涼感屋頂組」與「對照組」。
      • 執行: 在「涼感屋頂組」安裝高反射率屋頂塗層。
      • 追蹤: 為期 2 年的數據收集。
      • 數據類別:
        • 生理指標: 心率 (主要), 血壓, 體溫, 血糖, 脫水。
        • 心理/行為指標: 壓力, 心理健康, 睡眠品質, 性別暴力。
      • 分析: 比較兩組間的差異,評估因果關係。
      • 終點: 決定是否應大規模推廣此項介入。
    • 概念圖 (Concept Map):
      • 中心主題: 涼感屋頂與健康。
      • 輸入: 太陽輻射, 環境高溫。
      • 介入: 涼感屋頂 (高反射率塗層)。
      • 中介機制: 降低室內溫度, 減少熱傳遞。
      • 輸出 (健康影響):
        • 正面: 改善心率, 血壓, 體溫, 血糖, 脫水, 壓力, 心理健康, 睡眠。
        • 潛在負面 (需探討): 性別暴力 (因熱引起的壓力增加)。
      • 研究設計: 隨機對照試驗 (RCT), Burkina Faso, 2年追蹤。
      • 目標: 證明因果關係, 評估可擴展性。

(b) Your comment on the science behind this trial. (20%)

  • 核心科學原理:
    • 熱傳遞與輻射物理學 (Heat Transfer & Radiation Physics): 涼感屋頂的原理基於物理學中的熱傳導、對流和輻射。高反射率材料能將大部分太陽輻射反射回大氣層,減少其被屋頂吸收並傳遞到室內。這直接降低了建築物內部的熱負荷。
    • 生理學與熱暴露影響 (Physiology & Effects of Heat Exposure): 人體在極端高溫環境下會面臨嚴峻挑戰。身體試圖透過排汗等機制散熱,但當熱負荷超過身體調節能力時,會導致熱相關疾病,如熱衰竭、中暑,並影響心血管系統(心率、血壓)、代謝(血糖)和神經系統(壓力、心理健康)。研究中選擇心率作為主要指標,正是因為其對熱暴露的敏感性。
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第 3 題

  1. Base editing for sickle-cell disease
    David Liu: Base editing has been successful in both ex vivo and in vivo clinical trials, so the community is
    anticipating the results of the first base-editing clinical trial that targets hematopoietic stem cells (HSCs). These
    cells are critical for treating blood disease, since all of our blood cells, including immune cells, are ultimately
    derived from HSCs.
    Several years ago, Beam Therapeutics launched the BEACON trial, an open-label, single-arm, multicenter, phase
    1/2 study evaluating the safety and efficacy of autologous base-edited CD34+ HSCs and progenitor cells
    (BEAM-101) in patients with severe sickle-cell disease. The HSCs are edited ex vivo with base edits that mimic
    single-nucleotide polymorphisms seen in people with hereditary persistence of fetal hemoglobin. These edits should
    increase levels of fetal hemoglobin and improve symptoms.
    The death of a patient in this, or any, clinical trial is very sad news. Busulfan is a drug used to create space in the
    bone marrow prior to transplantation and is part of the current standard of care for sickle-cell disease. It seems the
    patient who died in this trial died of lung injury, a known side effect of bulsulfan, rather than from a consequence of
    base editing.
    It is never wise to get ahead of the results of a clinical trial, but I am hopeful that clinical base editing will work in
    HSCs, given that there are three other base-editing clinical trials that have already yielded positive clinical
    outcomes.

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這一題的完整詳解

此題聚焦於「基因編輯技術在鐮刀型紅血球疾病治療上的應用」,特別是「鹼基編輯」(Base Editing)技術。考生需要理解該技術的原理、在臨床試驗中的應用、潛在的風險與效益,以及其治療血液疾病的重要性。

核心概念:

  • 鐮刀型紅血球疾病 (Sickle-Cell Disease, SCD): 一種遺傳性血液疾病,由血紅素 β 基因 (HBB) 的單點突變引起,導致紅血球變形呈鐮刀狀,影響氧氣運輸並引起血管阻塞、疼痛、器官損傷等。
  • 造血幹細胞 (Hematopoietic Stem Cells, HSCs): 骨髓中的幹細胞,能夠分化產生所有種類的血細胞(紅血球、白血球、血小板)。HSCs 是治療血液疾病的潛在關鍵細胞。
  • 基因編輯 (Gene Editing): 一種能夠精確修改 DNA 序列的技術。
    • 鹼基編輯 (Base Editing): 一種較新的基因編輯技術,它能將一個 DNA 鹼基(如 A, T, C, G)精確地轉換為另一個鹼基,而無需切割雙鏈 DNA。這比傳統的 CRISPR-Cas9 系統更精確,潛在脫靶效應(off-target effects)更少。
    • 體外編輯 (Ex vivo editing): 從患者體內取出細胞(如 HSCs),在實驗室進行基因編輯,然後再將編輯後的細胞輸回患者體內。
    • 體內編輯 (In vivo editing): 直接將基因編輯工具遞送到患者體內,在目標細胞中進行基因編輯。
  • 胎兒血紅素 (Fetal Hemoglobin, HbF): 成人通常主要產生血紅素 A (HbA),胎兒血紅素在出生後會迅速下降。在鐮刀型紅血球疾病患者中,若能維持較高水平的 HbF,可以減輕疾病症狀,因為 HbF 不會因 HBB 突變而變形。

詳解內容:

  1. 鹼基編輯技術的原理與優勢:

    • 原理: 鹼基編輯器通常由一個去活化的 Cas 酶(或類似的 DNA 結合蛋白)與一個脫氨酶 (deaminase) 結合而成。當編輯器定位到目標 DNA 位點時,脫氨酶會催化將一個鹼基轉換為另一個。例如,胞嘧啶脫氨酶 (cytidine deaminase) 可將 C 轉換為 T (C→T),腺嘌呤脫氨酶 (adenine deaminase) 可將 A 轉換為 G (A→G)。
    • 優勢: 相較於 CRISPR-Cas9 的雙鏈斷裂 (DSB) 編輯,鹼基編輯不產生 DSB,減少了插入/缺失突變 (indels) 的風險,並可能提高編輯的精確度和安全性。
  2. BEACON 臨床試驗與其設計:

    • 目標疾病: 嚴重的鐮刀型紅血球疾病 (Severe Sickle-Cell Disease)。
    • 目標細胞: CD34+ 造血幹細胞 (HSCs) 和祖細胞 (progenitor cells)。CD34+ 是 HSCs 的標誌物。
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第 4 題

  1. Chatbot to aid cervical cancer screening
    Farida Selmouni: France has included in their nationwide cervical screening program self-sampling of human
    papilloma virus (HPV) for women 30-65 years of age who have not been screened at a clinic, but studies showed
    that less than 20% of these women participated. To address this, my team has developed web-based tools aimed at
    encouraging women, particularly those with lower education levels and from disadvantaged areas, to test
    themselves at home. It is very important for a screening program to have a high participation rate, in order to reduce
    cervical cancer incidence and mortality.
    Our multi-language decision aid is designed for women with lower education and is accessible via an artificial
    intelligence-based chatbot delivered through multiple smartphone channels. We conducted qualitative studies with
    women to assess their knowledge and identify their needs in cervical cancer and smartphone usage, and with
    healthcare professionals to gather recommendations for developing an educational tool. On the basis of this research,
    a first prototype of the chatbot was refined and presented to study participants and healthcare professionals to get
    their feedback for improvements.
    The results indicated that women were happy with this chatbot and found that it offers quick and accurate answers
    to their questions. A randomized controlled trial, now underway and expected to conclude in 2025, aims to assess
    the chatbot's efficacy in improving women's participation in the HPV-detection-based cervical-cancer-screening
    care pathway.

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這一題的完整詳解

此題探討利用人工智慧聊天機器人 (Chatbot) 來提升女性接種人類乳突病毒 (HPV) 篩檢的參與率,以降低子宮頸癌的發生率與死亡率。考生需要理解此技術的背景、設計理念、實施方法、初步成效以及未來研究方向。

核心概念:

  • 子宮頸癌 (Cervical Cancer): 主要由持續性高風險人類乳突病毒 (HPV) 感染引起,可透過定期篩檢早期發現。
  • HPV 篩檢 (HPV Screening): 檢測是否存在高風險 HPV 病毒,是目前子宮頸癌篩檢的重要方法。
  • 居家自我採樣 (Self-sampling): 讓女性在家中自行採集檢體(如陰道拭子),再寄回實驗室進行 HPV 檢測。這比到診所接受抹片檢查更方便,尤其適合不便就醫者。
  • 參與率低迷 (Low Participation Rate): 儘管有居家自我採樣的選項,但法國的參與率仍低於 20%,顯示仍有結構性或認知上的障礙。
  • 人工智慧聊天機器人 (AI Chatbot): 利用自然語言處理 (NLP) 和機器學習技術,模擬人類對話的程式,可提供資訊、回答問題、提供指導。
  • 決策輔助工具 (Decision Aid): 旨在幫助個體理解健康資訊,權衡不同選項的利弊,從而做出更明智的健康決策。

詳解內容:

  1. 問題背景與研究動機:

    • 現狀: 法國的國家子宮頸癌篩檢計畫納入了 30-65 歲女性的居家 HPV 自我採樣,但參與率極低(<20%)。
    • 目標人群: 特別關注教育程度較低或來自弱勢地區的女性,她們可能面臨更多就醫障礙。
    • 核心問題: 如何有效鼓勵這些女性進行居家 HPV 篩檢。
    • 研究動機: 提高篩檢參與率是降低子宮頸癌發生率和死亡率的關鍵。
  2. 開發的解決方案:AI 聊天機器人決策輔助工具:

    • 技術形式: 透過智慧手機的多種管道(如應用程式、網頁)提供的多語言、基於人工智慧的聊天機器人。
    • 設計理念:
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第 5 題

  1. Personalized breast cancer screening
    Suzette Delaloge: The My Personal Breast Cancer Screening (MyPeBS) trial addresses a major gap in
    breast-cancer screening by shifting from a one-size-fits-all approach to a more personalized, risk-based strategy.
    Currently, screening is based mainly on age, typically starting at 50 years of age in most countries, but this approach
    has limitations. Breast-cancer screening has reduced mortality by only about 20%, with high rates of overdiagnosis
    and unnecessary treatment.
    Each woman has her own individual risk of developing breast cancer, depending on many factors, such as genetics,
    lifestyle or hormonal exposure. A more personalized approach could adjust the age of entry into the screening
    program and determine whether a woman needs more- or less-frequent screenings. For women at high risk,
    more-intensive risk-reduction measures could be introduced, whereas women at low risk might benefit from fewer
    mammograms, reducing the harm from unnecessary tests.
    Our trial is the largest global study of its kind, to our knowledge, conducted in six countries, with over 53,000
    women. The randomized controlled study will compare two groups of women: a group that will follow the current
    standard breast screening; and a group that will follow a personalized risk-based screening strategy. Half of the
    participants will undergo DNA testing via saliva samples. We will use a polygenic risk score derived from the
    Breast Cancer Screening Consortium, combined with other risk factors, such as family history and breast density.
    This approach allows us to assess risk with high precision, although we are mindful of the challenges, particularly in
    ethnic diversity and how well these tools perform across different populations. The primary endpoint of the trial is
    the incidence of breast cancer at stage 2 or higher at 4 years.
    If the trial shows that risk-based screening is either as good as or superior to standard screening, it could
    revolutionize breast cancer prevention. We expect that this approach could improve outcomes for women at high
    risk while also minimizing unnecessary harm for those at lower risk.

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這一題的完整詳解

此題探討「個人化乳癌篩檢」的策略,重點介紹了 MyPeBS (My Personal Breast Cancer Screening) 臨床試驗。考生需要理解傳統篩檢的局限性、個人化風險評估的重要性、MyPeBS 試驗的設計與方法,以及其潛在的影響。

核心概念:

  • 乳癌篩檢 (Breast Cancer Screening): 目標是在無症狀人群中早期發現乳癌,提高治療成功率和生存率。
  • 傳統篩檢模式 (One-size-fits-all): 目前主流的篩檢模式,通常基於年齡(如 50 歲開始),對所有女性採用相同的篩檢頻率和方法(如乳房攝影)。
  • 個人化風險評估 (Personalized Risk Assessment): 根據個體的遺傳、生活方式、家族史等多種因素,評估其罹患乳癌的風險,並據此制定差異化的篩檢計畫。
  • 過度診斷 (Overdiagnosis): 指發現某些癌細胞,但它們發展極其緩慢,終其一生都不會對健康造成威脅,卻接受了不必要的治療。
  • 基因檢測 (Genetic Testing): 分析 DNA 來識別與特定疾病風險相關的基因變異。
  • 多基因風險評分 (Polygenic Risk Score, PRS): 綜合分析多個與疾病風險相關的基因位點的影響,計算出一個總體的風險分數。
  • 乳房密度 (Breast Density): 乳房攝影圖像中,脂肪組織和結締組織的比例。高乳房密度會增加乳癌風險,並可能影響乳房攝影的判讀。

詳解內容:

  1. 傳統乳癌篩檢的局限性:

    • 「一刀切」模式 (One-size-fits-all): 基於年齡的篩檢模式忽略了個體間的巨大差異。
    • 效益有限: 雖然降低了死亡率約 20%,但效果並非對所有人都一樣。
    • 過度診斷與不必要治療: 導致許多女性接受了不必要的檢查和侵入性治療,帶來身心痛苦和經濟負擔。
    • 風險因素未充分考慮: 僅依賴年齡,忽略了遺傳、生活方式、荷爾蒙暴露等重要風險因素。
  2. 個人化風險基礎篩檢的優勢 (MyPeBS 試驗的核心理念):

    • 目標: 根據每個女性的實際風險,量身定制篩檢計畫。
    • 核心方法:
      • 調整篩檢年齡: 對高風險女性提前開始篩檢。
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