The article proposes a novel layered surface plasmon resonance (SPR) sensor design that utilizes the optoelectronic properties of ferric oxide (Fe₂O₃), carbon nanotubes (CNTs), and bi-metallic (silver and platinum) materials to enhance the sensitivity and performance of SPR-based cancer detection. The sensor's ability to detect minute changes in refractive index (RI) makes it potentially useful for early cancer identification and monitoring. The study found that the RI for different types of malignant cells ranged from 1.392 to 1.401, with MCF-7 cells showing the highest sensitivity of 320.571 deg/RIU. The sensor's parameters, including detection accuracy, figure of merit, and full width half maximum, were optimized for MCF-7 cells. The introduction of 2D materials and CNTs further enhances the sensor's performance by improving light absorption and stability. The use of these materials addresses the limitations of traditional SPR sensors, such as low sensitivity and poor molecule binding capabilities, making the proposed sensor a promising tool for early cancer detection.The article proposes a novel layered surface plasmon resonance (SPR) sensor design that utilizes the optoelectronic properties of ferric oxide (Fe₂O₃), carbon nanotubes (CNTs), and bi-metallic (silver and platinum) materials to enhance the sensitivity and performance of SPR-based cancer detection. The sensor's ability to detect minute changes in refractive index (RI) makes it potentially useful for early cancer identification and monitoring. The study found that the RI for different types of malignant cells ranged from 1.392 to 1.401, with MCF-7 cells showing the highest sensitivity of 320.571 deg/RIU. The sensor's parameters, including detection accuracy, figure of merit, and full width half maximum, were optimized for MCF-7 cells. The introduction of 2D materials and CNTs further enhances the sensor's performance by improving light absorption and stability. The use of these materials addresses the limitations of traditional SPR sensors, such as low sensitivity and poor molecule binding capabilities, making the proposed sensor a promising tool for early cancer detection.