Routine blood tests could help predict cancer risk

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Photo by National Cancer Institute on Unsplash
Photo by National Cancer Institute on Unsplash

When patients have non-specific tummy issues, routine blood tests could help better diagnose if they have cancer, according to international researchers. The team looked at data from more than 470,000 patients over age 30 who had visited a GP for abdominal pain or bloating. Within a year of that visit, around 9,000 patients with abdominal pain and 1,000 patients with bloating were diagnosed with cancer. After combining this data with data from blood tests collected during these visits, they found several abnormalities that could help predict cancer. For example, in patients aged 30–59 years with abdominal symptoms, anemia, low albumin, raised platelets, abnormal ferritin, and increased inflammatory markers strongly predicted a risk of undiagnosed cancer, and for women in their 50s, anaemia combined with bloating was linked to bowel and ovarian cancer.

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From: PLOS

Peer-reviewed                     Observational study                      People

Routine blood test results can improve cancer risk assessment in patients with abdominal symptoms

Risk of cancer by specific site based on blood test abnormalities in symptomatic patients can help guide referral strategies

Incorporating information from common blood tests can enhance cancer risk assessment in patients with abdominal symptoms, according to a study publishing July 30th in the open-access journal PLOS Medicine by Meena Rafiq from University College London, UK, and colleagues.

Early cancer detection is key to successful treatment. However, many undiagnosed cancer patients present to their primary care provider with non-specific symptoms that can be a result of several other benign causes, making it difficult to determine who warrants additional diagnostic testing or referral. Most guidelines focus on “alarm” symptoms specific to a given type of cancer to guide referrals. There is limited guidance on non-specific symptoms to guide cancer assessment and referral decisions across different cancer types.

In this study, researchers used data from the UK Clinical Practice Research Datalink to identify more than 470,000 patients aged 30 years or older who had visited a general practitioner due to abdominal pain or bloating. Within a year of that visit, approximately 9,000 patients with abdominal pain and 1,000 patients with bloating were diagnosed with cancer. The researchers looked at 19 abnormal blood test results collected during the initial primary care visit to see if they could predict who was more likely to be diagnosed with cancer.

Several blood abnormalities were predictive of cancer risk across sex and age groups. For example, in patients aged 30–59 years with abdominal symptoms, anemia, low albumin, raised platelets, abnormal ferritin, and increased inflammatory markers strongly predicted a risk of undiagnosed cancer. Among older patients (aged 60 years and above), the presence of abdominal pain or bloating alone was enough to warrant a cancer referral.

The study also showed which types of cancer were most common based on age, sex, and blood test abnormality. For example, among women aged 50–59 years with anemia and abdominal bloating, the most common types of cancer were bowel and ovarian cancer. This level of granularity can help guide providers on which diagnostic strategies to prioritize.

The study shows that common, routine blood test results can provide additional context in patients with non-specific abdominal symptoms to improve cancer risk assessment and identify patients who warrant additional testing and/or referral to a specialist.

The authors add, “Using existing blood tests can be an effective and affordable way to improve early diagnosis of cancer in people who see their GP with vague symptoms. Our study identified several commonly used GP blood tests where abnormal results increase a patient's risk of having cancer and these can be used to diagnose cancer earlier.”

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PLOS Medicine
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Organisation/s: The University of Melbourne
Funder: The study was supported by RREDDEHR project supported by the International Alliance for Cancer Early Detection (ACED) a partnership between Cancer Research UK (CRUK) (C18081/ A31373), Canary Center at Stanford University, the University of Cambridge, OHSU Knight Cancer Institute, University College London, and the University of Manchester. GL acknowledges an Advanced Clinician Scientist Fellowship from CRUK (C18081/A18180). CR acknowledges funding from CRUK (grant number EDDCPJT\100018). BN acknowledges funding from a National Institute of Health Research (NIHR) Academic Clinical Lectureship, a CRUK Research Careers Committee Postdoctoral Fellowship (RCCPDF/100005) and is the Early Detection Theme Lead for the CRUK Oxford Cancer Centre (CTRQQR-2021\100002). MB acknowledges an ACED Pathway Award (CRUK EDDAPA-2022/100002). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: We declare no support from any organisation for the submitted work. BDN receives institutional research funding from GRAIL Inc unrelated to this study, MB receives personal fees from GRAIL Inc for Independent Data Monitoring Committee (IDMC) membership unrelated to this study and BW received personal funding from the British Liver Trust in 2023 for an unrelated data consultancy project, otherwise there are no financial relationships with any organisations that might have an interest in the submitted work in the previous three years and no other relationships or activities that could appear to have influenced the submitted work.
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