Which type of human cancer cells survived most at an RIP concentration of 10 micrograms per liter? Skin cancer cells Prostate cancer cells Breast cancer cells Liver cancer cells
Which type of human cancer cells survived most at an RIP concentration of 10 micrograms per liter? Skin cancer cells Prostate cancer cells Breast cancer cells Liver cancer cells
Human Anatomy & Physiology (11th Edition)
11th Edition
ISBN:9780134580999
Author:Elaine N. Marieb, Katja N. Hoehn
Publisher:Elaine N. Marieb, Katja N. Hoehn
Chapter1: The Human Body: An Orientation
Section: Chapter Questions
Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...
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Which type of human cancer cells survived most at an RIP concentration of 10 micrograms per liter?
Skin cancer cells
Prostate cancer cells
Breast cancer cells
Liver cancer cells

Transcribed Image Text:The graph displays the effect of RIP (Ribosome-Inactivating Protein) on cell survival across various cancer types. The x-axis represents the concentration of RIP in micrograms per liter (µg/liter), shown on a logarithmic scale ranging from 0.01 to 10. The y-axis indicates cell survival percentage, ranging from 0% to 100%.
Key elements of the graph include:
- **Type of Cancer:**
- **Liver (▲):** Represented by green triangles.
- **Skin (●):** Represented by red circles.
- **Prostate (■):** Represented by brown squares.
- **Breast (◆):** Represented by blue diamonds.
- **Trends:**
- At lower concentrations of RIP (approximately 0.1 µg/liter), all cancer types show near 100% cell survival.
- As concentration increases:
- **Skin Cancer:** The survival rate drops significantly, reaching nearly 0% at 10 µg/liter.
- **Liver Cancer:** Cancer cells show a moderate decline in survival, dropping to around 60% at the highest concentration.
- **Prostate Cancer:** This has a slight reduction in cell survival, maintaining above 90% even at higher concentrations.
- **Breast Cancer:** Cell survival remains relatively unaffected, with a slight reduction in viability.
This graph indicates varying sensitivity of different cancer types to RIP, highlighting the potential for targeted therapeutic applications.
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