Completed Digestion, Kidneys & Other Organs Cancer

pH Sensing of Interstitial Skin Fluid with Non-Invasive Hydrogel Patches Can Improve Sensitivity of Skin Cancer Diagnosis in Primary Care

In plain English

AI plain-English summary

Only around 15% of urgent skin cancer referrals from GPs actually result in a malignancy diagnosis, meaning the NHS spends over £35 million each year on unnecessary biopsies and procedures. This research aims to fix that low accuracy by developing a non-invasive hydrogel patch that measures the pH of interstitial skin fluid. Tumour tissue is abnormally acidic compared to healthy tissue, so a quick pH reading from a suspicious lesion could help GPs decide which patients truly need a biopsy and which do not. The patch uses microneedles to sample fluid painlessly and rapidly, and will first be tested on a mouse model of squamous cell carcinoma. If the patch works, it could dramatically reduce the number of unnecessary referrals and biopsies. Patients would face less anxiety and fewer invasive procedures, while the NHS would save millions currently spent on avoidable diagnostic work. The project aims to validate pH as a clinical biomarker and deliver a working prototype for point-of-care use in primary care settings.

View original technical description
Background: Cancers of the skin are the most common of all cancers and affect almost equally women and men. The number of cases is increasing rapidly, including for melanoma, one of the deadliest forms. Other skin cancer types such as basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) are less deadly but also much more common. They too require fast intervention and are notoriously hard to diagnose, especially at an early stage, without the help of a biopsy. Skin cancer diagnosis is most commonly derived from visual or digital inspection of a skin lesion by a trained professional, ideally including dermoscopy. Identification of suspicious skin lesions in primary care are typically followed by an urgent referral, leading to a skin biopsy and histopathological examination. Whilst primary care clinicians are generally accurate at recognising suspicious skin lesions, and despite promising improvements in sensitivity when using artificial intelligence and machine learning algorithms, only around 15% of urgent referrals result in a malignancy diagnosis. This low positive predictive value is responsible for a large number of skin biopsies performed unnecessarily which is distressing to the patient (long time-to-result and morbidities) and costly to the NHS which spends >£35M every year on unnecessary diagnostic procedures for skin cancer only. With extracellular pH of tumour interstitial fluid being abnormally acidic compared to that of healthy tissue, we reasoned that measuring pH in interstitial skin fluid (ISF) from suspicious skin lesions could improve skin cancer diagnosis. Aims: Our solution is to develop a novel, non-invasive, pH-sensing skin patch to be used alongside visual inspection to improve skin cancer patient triage accuracy in primary care or community settings. Methods: Bespoke hydrogel-based microneedle patches will be used to electrochemically interrogate, both in vitro and in vivo, the pH of ISF within/around skin lesions in a rapid and painless manner. These patches will be used on a cSCC mouse model to accurately monitor, in vivo, local changes in ISF pH from the first appearance of pre-cancerous lesions. How the results of this research will be used: This multidisciplinary project will (1) validate pH in ISF as a clinically useful biomarker for the early diagnosis of skin cancers and (2) deliver a medical device prototype to measure it non-invasively and at the point-of-care. Results will enable us to apply for larger scale follow-on funding to further validate both the biomarker and the technology on human skin biopsies.

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Researchers

Sylvain Ladame (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

mPatch: a rapid test for improving diagnosis and triage of melanoma patients in primary care
Development of a non-invasive molecular diagnosis tool for skin-cancer detection
Smart Hydrogels and Devices for Early Detection of Cancer (supported by Stand Up To Cancer)
Microneedle Array Based Optical Biosensors for Minimally-Invasive Skin Cancer Diagnostics
Remote SWEATSkin PATCH for Monitoring Breast Cancer Therapeutic Response

Original classification

Early Detection and Diagnosis Committee - Pilot

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