A Case of Skin Cancer


Learn about skin cancer and sun safety.

Follow the case of a young woman who has an unusual mole on her shoulder.

  • Use the “ABCDE” characteristics of skin cancer to determine that the mole should be biopsied.
  • Analyze a simulated biopsy and determine that the mole is melanoma, a particularly dangerous type of skin cancer.
  • Use materials provided to design and conduct an experiment to test one way to reduce outdoor ultraviolet (UV) light exposure.
  • Use graphic cutouts to create a Skin Cancer and Sun Safety infographic.
Assembled kits
Materials to assemble 10 kits - includes all supplies, printed labels, and student instructions copy master
Materials to refill 10 kits

Kit Includes

  • Student instructions
  • Photo of Sofia’s mole
  • Photos of biopsies
  • Skin Cancer Fact Sheet
  • Skin Cancer and Sun Safety sheet
  • Pictures and captions for Skin Cancer and Sun Safety infographic
  • 15 UV color changing beads
  • 3 plastic bowls
  • 3 pieces of black paper
  • Package of sunscreen
  • Cotton pad
  • Piece of fabric
  • Paper umbrella
  • Piece of clay

Also Required

  • An outdoor area or window sill
  • Tap water
  • Scissors
  • Glue or tape
  • Clock or timer
  • Paper towels for clean up

Quantity Discounts


  • 1 – 9 kits: $16.95 each
  • 10 – 24 kits: $16.10 each
  • 25+ kits: $15.26 each


  • 1 – 9 packs: $125.95 each
  • 10+ packs: $119.65 each


  • 1 – 9 packs: $62.95 each
  • 10+ packs: $59.80 each

Correlation to Next Generation Science Standards (NGSS) Shop by NGSS »

Performance Expectations:


  • Science & Engineering Practices

    Planning and Carrying Out an Investigation - Plan an investigation individually and collaboratively, and in the design: identify independent and dependent variables and controls, what tools are needed to do the gathering, how measurements will be recorded, and how many data are needed to support a claim

  • Disciplinary Core Ideas


  • Crosscutting Concepts

    Cause and Effect - Cause and effect relationships may be used to predict phenomena in natural or designed systems.