Easy Cheesy Tuna Noodle Casserole
Cost $10, save $15
Source: Recommended by CookGo
- 40 Min
- 6 Servings
- $10
Easy Cheesy Tuna Noodle Casserole
Cost $10, save $15
Source: Recommended by CookGo
- 40 Min
- 6 Servings
- $10
INGREDIENTS
Pasta
- 🍜 2 (10 ounce) packages egg noodles
Oil and Seasoning
- 1 tablespoon olive oil
- 🧂 1 tablespoon salt
- 🧂 1 teaspoon ground black pepper
Cheese
- 🧀 1 (8 ounce) package processed cheese food (such as Velveeta), cut into cubes
- 🧀 1 cup grated Parmesan cheese
Protein
- 🐟 3 (5 ounce) cans chunk light tuna in water, drained
Vegetables
- 🌱 1 (15 ounce) can peas, drained (Optional)
Condiments and Soups
- 2 (10.75 ounce) cans condensed cream of celery soup
- 1 (10.75 ounce) can condensed cream of mushroom soup
STEPS
Bring a large pot of lightly salted water to a boil. Cook egg noodles in the boiling water, stirring occasionally until cooked through but firm to the bite, about 5 minutes. Drain noodles and return to the pot. Pour olive oil and salt over the drained noodles; stir.
Preheat oven to 350 degrees F (175 degrees C).
Put processed cheese food cubes into a large, microwave-safe bowl. Heat in microwave, stirring every 30 seconds, until melted and smooth, 3 to 5 minutes; pour over noodles and add tuna, peas, celery soup, mushroom soup, and black pepper. Stir to coat noodles completely; pour into a large casserole dish. Sprinkle Parmesan cheese over the top of the noodle mixture to cover completely.
Bake in preheated oven until Parmesan cheese just begins to brown, 20 to 30 minutes.
NUTRIENTS
Per 1 serving🔥
754
Calories
- 43gProtein
- 80gCarbs
- 29gFats
💡 Tips
To save time, you can prepare the noodle and soup mixture in advance and store it in the fridge. Bake just before serving.Try substituting different cheeses to create new flavors.Adding fresh or sautéed mushrooms can enhance the dish's flavor.For a crispy topping, sprinkle breadcrumbs mixed with melted butter on top before baking.
⚠️ Precautions
This recipe is for inspiration only. The specific use needs to beadjusted according to individual differences.