Symptom Signatures and Diagnostic Timeliness in Cancer Patients: A Review of Current Evidence

Modeled Benefit of Individual Cancer Signal Origin Prediction for Multi-Cancer Early Detection

Multi-cancer early detection (MCED) tests may detect a broad spectrum of cancer types, including uncommon types that lack recommended screening. After a cancer signal is detected by an MCED test, some diagnostic process must definitively confirm the patient's cancer status. A commercially available blood-based MCED test detects a cancer signal and then predicts an anatomic location, a cancer signal origin (CSO), to guide the diagnostic process. We extended a preexisting model for MCED cancer screening, adding predicted CSO categories and a simple model of the diagnostic chain. We then predicted outcomes of the diagnostic chain for each predicted CSO and in populations with differing clinical risk factors. Typical positive predictive values were>40%, and using a minimal sufficient level of positive predictive value (>7%), (i) diagnostic workup based on any CSO was generally warranted, and (ii) continued workup for cancers in locations other than the CSO was justifiable. The benefit of prediction-directed workups was also observed via estimated clinical utility metrics, such as lives saved per diagnostic test, and remained applicable in populations with varying cancer risk, such as lung cancer prediction-directed workups in never-smokers. CSO predictions may enable most true-positive cases to be resolved by short and efficient diagnostic processes. The model predicted a large enough conditional benefit to warrant diagnostic workup based on any CSO prediction from an MCED test, assuming late-stage reduction by MCED leads to mortality reduction, which remains to be demonstrated.

SIGNIFICANCE

MCED tests may detect a signal from many cancers. Predicting an anatomic location from which the cancer signal may originate allows effective, usual diagnostic workup. In this study, we show that these predictions are beneficial to physicians choosing a diagnostic path, even for uncommon cancer types and among populations with differing cancer risks.

Future Health Today and patients at risk of undiagnosed cancer: a pragmatic cluster randomised trial of quality- improvement activities in general practice

BACKGROUND

Diagnosing cancer in general practice is complex, given the non-specific nature of many presenting symptoms and the overlap of potential diagnoses.

AIM

This trial aimed to evaluate the effectiveness of Future Health Today (FHT) - a technology that provides clinical decision support, auditing, and quality-improvement monitoring - on the appropriate follow-up of patients at risk of undiagnosed cancer.

DESIGN AND SETTING

Pragmatic, cluster randomised trial undertaken in general practices in Victoria and Tasmania, Australia.

METHOD

Practices were randomly assigned to receive recommendations for follow-up investigations for cancer (FHT cancer module) or the active control. Algorithms were applied to the electronic medical record, and used demographic information and abnormal test results that are associated with a risk of undiagnosed cancer (that is, anaemia/iron deficiency, thrombocytosis, and raised prostate-specific antigen) to identify patients requiring further investigation and provide recommendations for care. The intervention consisted of the FHT cancer module, a case-based learning series, and ongoing practice support. Using the intention-to-treat approach, the between-arm difference in the proportion of patients with abnormal test results who were followed up according to guidelines was determined at 12 months.

RESULTS

In total, 7555 patients were identified as at risk of undiagnosed cancer. At 12 months post-randomisation, 76.0% of patients in the intervention arm had received recommended follow-up (21 practices, n = 2820/3709), compared with 70.0% in the control arm (19 practices, n = 2693/3846; estimated between-arm difference = 2.6% [95% confidence interval (CI)] = -2.8% to 7.9%; odds ratio = 1.15 [95% CI = 0.87 to 1.53]; P = 0.332).

CONCLUSION

The FHT cancer module intervention did not increase the proportion of patients receiving guideline-concordant care. The proportion of patients receiving recommended follow-up was high, suggesting a possible ceiling effect for the intervention.

Symptom appraisal and help- seeking before a cancer diagnosis during pregnancy: a qualitative study

BACKGROUND

The estimated incidence of a cancer diagnosis during or shortly after pregnancy is 1 in 1000 pregnancies in England. Pregnancy can have an impact on symptom appraisal and help-seeking for symptoms subsequently diagnosed as cancer. Little is known about the pathway to cancer diagnosis in pregnancy or delays that women can encounter.

AIM

To explore symptom appraisal, help-seeking decisions, and experience of receiving a cancer diagnosis during pregnancy.

DESIGN AND SETTING

Semi-structured interviews were conducted with women diagnosed with cancer during or shortly after pregnancy in the previous 4 years in the UK, recruited between January and May 2022 via the charity Mummy's Star.

METHOD

This study used reflexive thematic analysis of 20 interviews. Analysis was largely inductive and the themes generated were mapped onto the intervals of the Model of Pathways to Treatment.

RESULTS

Symptoms were often interpreted through the lens of pregnancy by both participants and most of the healthcare professionals from whom they sought help. Participants who found breast lumps were likely to suspect cancer and be referred promptly for tests in secondary care. Although most participants sought timely help for their symptoms, some subsequently encountered health system delays, partly owing to both the vague nature of their symptoms and the COVID-19 pandemic.

CONCLUSION

Health services need to better support women presenting with possible cancer symptoms during pregnancy to ensure timely diagnosis. Recommendations include prioritising symptoms over attributing them solely to pregnancy, ensuring timely referrals to rule out serious conditions, and emphasising clear communication alongside robust safety-netting practices. A full assessment is essential before dismissing symptoms as pregnancy related.

Mitigation of outcome conflation in predicting patient outcomes using electronic health records

OBJECTIVES

Artificial intelligence (AI) models utilizing electronic health record data for disease prediction can enhance risk stratification but may lack specificity, which is crucial for reducing the economic and psychological burdens associated with false positives. This study aims to evaluate the impact of confounders on the specificity of single-outcome prediction models and assess the effectiveness of a multi-class architecture in mitigating outcome conflation.

MATERIALS AND METHODS

We evaluated a state-of-the-art model predicting pancreatic cancer from disease code sequences in an independent cohort of 2.3 million patients and compared this single-outcome model with a multi-class model designed to predict multiple cancer types simultaneously. Additionally, we conducted a clinical simulation experiment to investigate the impact of confounders on the specificity of single-outcome prediction models.

RESULTS

While we were able to independently validate the pancreatic cancer prediction model, we found that its prediction scores were also correlated with ovarian cancer, suggesting conflation of outcomes due to underlying confounders. Building on this observation, we demonstrate that the specificity of single-outcome prediction models is impaired by confounders using a clinical simulation experiment. Introducing a multi-class architecture improves specificity in predicting cancer types compared to the single-outcome model while preserving performance, mitigating the conflation of outcomes in both the real-world and simulated contexts.

DISCUSSION

Our results highlight the risk of outcome conflation in single-outcome AI prediction models and demonstrate the effectiveness of a multi-class approach in mitigating this issue.

CONCLUSION

The number of predicted outcomes needs to be carefully considered when employing AI disease risk prediction models.

Characterising the volume and variation of multiple urgent suspected cancer referrals in England, April 2013-March 2018: a national cohort study

OBJECTIVES

To establish a methodology to categorise urgent suspected cancer (USC) referrals in England and use these categories to understand individual patient referral patterns by demographic characteristics, financial year and referral pathway.

DESIGN

Cross-sectional population-based cohort study.

SETTING

From Cancer Waiting Times data, linked to demographic information held by the National Disease Registration Service, referral-level data on all USC referrals in England between 1 April 2013 and 31 March 2018.

PARTICIPANTS

After restricting records to those with an English postcode at referral and with complete demographic information, 9 524 435 referrals were identified for 7 542 592 patients.

PRIMARY AND SECONDARY OUTCOME MEASURES

USC referrals were categorised into first and subsequent USC referrals, based primarily on intervals between referral dates. Our primary outcome was to describe the distribution of referral categories by financial year, suspected cancer referral type and four demographic variables. Our secondary aim was to understand which suspected cancer referral types were found in combination within the first 4 months.

RESULTS

During the study period, 7.5 million people had an USC referral, with one in five having more than one referral, with 9.5 million referrals in total. Referrals were categorised as first (91.1%) and subsequent (8.9%) USC referrals. The relative increase in the number of referrals across the study period was largest (78.2%) for subsequent USC referrals.Subsequent referrals were most common in the gynaecological (10%), lung (10%) and haematological cancer pathways (12%).Suspected lower gastrointestinal referrals were most frequently included in a pair of USC referrals; it was one of the five most common pairings for 14 out of 16 referral type pathways, contributing to 30% of upper gastrointestinal USC referral pairings.

CONCLUSION

Multiple USC referrals increased in the study period, particularly within a year of the first referral. Common referral pairings suggest opportunities for pathway reorganisation where common non-specific symptoms result in multiple USC referrals.

Treatment delays in patients with lung cancer: a retrospective study conducted at the National Cancer Institute of Mexico between 2004 and 2021

IMPORTANCE

Lung cancer management involves navigating a complex pathway from symptom onset to treatment initiation, where delays can compromise outcomes.

OBJECTIVE

To identify the length of treatment intervals among Mexican lung cancer patients, compare treatment intervals to results from other countries, and identify determinants of delays.

DESIGN

Retrospective study collecting patient records and exploring the treatment interval in lung cancer.

SETTING

The study was conducted at Mexico's National Cancer Institute.

PARTICIPANTS

2645 lung cancer patients with a confirmed diagnosis between 2004 and 2021 were included in the analysis.

EXPOSURE

Social determinants of health.

MAIN OUTCOME

Treatment interval (from diagnosis to treatment).

RESULTS

Logistic regression models revealed significant associations between delays and various factors, including marital status, education, region, first symptom at presentation, treatment type, and political period. A comparison with international guidelines highlighted substantial delays in patients diagnosed at the Instituto Nacional de Cancerología and diagnosed externally.

CONCLUSIONS

Targeted interventions should consider patient characteristics to enhance care efficiency. Concerns should be raised about the observed increase in treatment intervals from 2014 and the associated impact on survival rates. There is an urgency for timely interventions, continuous research, and collaborative efforts to optimize care delivery and outcomes for lung cancer patients in Mexico.

Diagnostic delay in women with cancer: What do we know and which factors contribute?

Timely cancer diagnosis is important, but delays are common, also among women. This study reviews recent literature on diagnostic delays in women with breast cancer, focusing on individual-level factors and their interaction with micro, meso, exo, and macrosystem factors. Following PRISMA-ScR guidelines, we conducted a scoping review on diagnostic delays in cancer among women, including qualitative and quantitative studies with oncological patients or healthcare professionals. We searched PubMed/MEDLINE and Scopus for publications from 2018 to November 28, 2023, excluding studies not meeting the inclusion criteria, not in English or Dutch, or focused solely on cancer screening. Titles and full texts were screened, with disagreements resolved through discussion. Two reviewers independently extracted study details, population characteristics, study design, and factors contributing to diagnostic delays. Initially, 9699 records were retrieved, resulting in 129 relevant studies after exclusions. We focused on women's health and breast cancer, narrowing our scope to 22 studies in high-income countries. Studies explored diagnostic delays and factors at various levels: microsystem (demographics, health behaviours, psychology, healthcare interactions), mesosystem (schedules, peer and support networks), exosystem (social, cultural, environmental, accessibility factors), and macrosystem (broader cultural, societal contexts, healthcare policies). In high-income countries, diagnostic delays in breast cancer care involve factors across various systems, affecting individuals, peers, healthcare, and policies. Enhancing awareness, communication, and access is important, requiring targeted campaigns and infrastructure upgrades. The Bronfenbrenner's ecological model effectively addresses the multifaceted factors influencing diagnostic delays. Future research can benefit from applying this model to various cancers and income settings.

Pathways to myeloproliferative neoplasm presentation and time to diagnosis: results from a cross-sectional study

BACKGROUND

Early cancer recognition is key to improving patient outcomes. Diagnosis is often delayed in patients with myeloproliferative neoplasms (MPNs), putting them at risk of thromboembolic events and other complications pre-diagnosis. A clear understanding of the barriers to presentation and diagnosis is required.

AIM

To explore barriers and factors influencing delayed presentation and diagnosis of MPNs.

DESIGN & SETTING

A cross-sectional study of patients with MPN within the UK and the Republic of Ireland.

METHOD

An online cross-sectional survey of patients with MPN was undertaken. Symptoms and factors influencing patient and GP delay were examined. Adjusted odds ratios (aORs) were calculated to explore the relationship between these factors and patient and GP delay.

RESULTS

Most (80.2%) of the 620 patients completing the survey reported symptomatic presentation. The most common symptoms associated with patient delay were pruritus (aOR 1.89, 95% confidence interval [CI] = 1.19 to 3.01), headaches (aOR 1.86, 95% CI = 1.13 to 2.82), and concentration difficulties (aOR 1.75, 95% CI = 1.12 to 2.76). Attributing symptoms to ageing (aOR 1.92, 95% CI = 1.19 to 3.11) and not wanting to burden the GP (2.04, 95% CI = 1.24 to 3.39) were significantly associated with patient delay. Those reporting >3 blood cancer warning signs were more likely to experience GP delay than those experiencing fewer (aOR 3.26, 95% CI = 1.75 to 6.29), and lack of relational continuity of GP care was significantly associated with GP delay (aOR 3.41, 95% CI = 1.65 to 7.28).

CONCLUSION

Debunking misconceptions around ageing, encouraging timely communication with GPs, and improving relational continuity of GP care could assist in reducing diagnostic delays, prevent potentially fatal disease complications, and ultimately improve outcomes for patients with MPN.

The Impact of Travel Distance on Cancer Stage at Diagnosis for Cancer: A Systematic Review

BACKGROUND

Geographic access to healthcare services can impact cancer outcomes. This paper reviews and updates the current evidence and gaps in the literature on the associations between travel distance and cancer stage.

METHODS

A search of electronic databases (PubMed, SpringerLink, and Science Direct) was conducted to identify studies published between 2015 and 2025. Studies examining the association between travel distance and cancer stage at diagnosis were included in this article.

RESULTS

From 19,197 studies, 11 articles met the inclusion criteria. In summary, four articles reported significant associations between travel distance/time and cancer stage, while six other articles did not report any association. Significant associations were observed in sub-Saharan Africa. In contrast, studies from Scotland, Canada, and the United States did not show significant relationships, while results from Japan varied, with papers showing either no significant impact of travel distance or indicating a correlation with advanced stages.

CONCLUSIONS

This study suggests that longer travel distance is associated with advanced cancer stage in countries with healthcare access challenges and highlights the importance of healthcare accessibility in improving early cancer detection.

Factors associated with diagnostic and treatment intervals in colorectal cancer: A linked data study

This research aimed to assess the length of intervals before diagnosis and treatment for colorectal cancer in Australia using linked datasets, and to determine any factors associated with interval length. A colorectal cancer clinical registry was linked to general practice electronic medical record data and routinely collected hospital referral datasets to determine the length of four key intervals in the time before first treatment. Cox proportional hazards regression was used to assess associations between individual characteristics (sociodemographic variables such as age and sex, and disease characteristics such as cancer subtype and treatment approach) and the length of each interval. Sample sizes available for analysis varied by interval, ranging from 99 to 9359. The median interval length ranged from 21 (IQR 5-38) days for the time between diagnosis and treatment to 63 (IQR 24-218) days for the time between first presentation and diagnosis. Overall, few measured characteristics were associated with the lengths of any of the intervals. Of note, shorter diagnostic intervals were associated with presenting to the general practitioner with alarm symptoms, and people proceeding to surgery as initial treatment had shorter times to treatment than any other treatment modality. Given disease and medical system factors were associated with interval length, broad improvements to the overall efficient functioning of the healthcare system are likely to improve timeliness. More targeted interventions could focus on processes at the transitions between different levels of the healthcare system and implementing recommended maximum lengths of intervals along the diagnostic and treatment pathway.

In silico development of HASDI-G2 as a novel agent for selective recognition of the DNA sequence

Genetic information, which is mostly encoded in the form of DNA sequence, is the basis of life. Its deviations are often the cause of the most deadly diseases such as cancer. Accordingly, the development of methods to control the transcription of certain DNA parts is an important direction of modern pharmacological and biological research. Within the scope of this work, we are investigating the second generation of a polyintercalating agent that we developed earlier, potentially capable of recognizing 16-bp DNA sequences. In order to confirm its ability for advanced selective DNA recognition a series of simulation experiments was conducted. We differentially investigated the stability of HASDI-G2 complexes with mutated targeting sequences and their native variants. Firstly, we confirmed the ability of HASDI-G2 to clearly discriminate the target sequence (EBNA1) from a random site in the human genome (KCNH2). That repeated the experiment of the polyintercalator's previous version and additionally showed better results of the next-generation structure. Next, we examined HASDI-G2 under conditions where the target sequence differed from the random one increasingly slightly. And we found that even a one-nucleotide mismatch leads to a similar complex destabilization as a mismatch of 3 or 4 nucleotides. Such complexes showed significant conformational rearrangements, accompanied by a sharp decrease in the hydrogen bonds quantity, a drop in the binding free energy, and local melting of the DNA duplex. Moreover, the latter applied not only to sites of direct incompatibility, but also to parts where HASDI-G2 fully corresponded to the sequence of intercalation.

A UK population-based case-control study of blood tests before cancer diagnosis in patients with non-specific abdominal symptoms

BACKGROUND

Abnormal results in commonly used primary care blood tests could be early markers of cancer in patients presenting with non-specific abdominal symptoms.

METHODS

Using linked data from the UK Clinical Practice Research Datalink (CPRD) and national cancer registry we compared blood test use and abnormal results from the 24-months pre-diagnosis in 10,575 cancer patients (any site), and 52,875 matched-controls aged ≥30 presenting, with abdominal pain or bloating to primary care.

RESULTS

Cancer patients had two-fold increased odds of having a blood test (odds ratio(OR):1.51-2.29) and 2-3-fold increased odds of having an abnormal blood test result (OR:2.42-3.30) in the year pre-diagnosis compared to controls. Raised inflammatory markers were the most common abnormality (74-79% of tested cases). Rates of blood test use and abnormal results progressively increased from 7 months pre-diagnosis in cancer patients, with relatively small corresponding increases in symptomatic controls. In cancer patients, the largest increases from baseline were raised platelets in males with abdominal pain (increased 33-fold), raised white blood cell count in males with abdominal bloating (increased 37-fold) and low albumin in females with either symptom (increased 22-41 fold).

CONCLUSIONS

Common blood test abnormalities are early signals of cancer in some individuals with non-specific abdominal symptoms and could support expedited cancer diagnosis.

Unraveling the Impact of Polyethylenimine-Coated Gold Nanoparticle Size on the Efficiency of Sandwich-Style Electrochemical Immunosensors

Sometimes, smaller size is not always better, and looking for nanomaterials that offer better device performance requires consideration of their properties at the first stage. In this study, the effects of the size of polyethylenimine-capped AuNPs (PEI-AuNPs) and proteins on the immunosensor performances, namely, sensitivity and limit of detection, are examined. The size-effect investigation of PEI-AuNPs involves their modification on the surface of disposable screen-printed carbon electrodes to support primary antibodies and their ability to load secondary antibodies and redox probes to perform amplification in the immunosensor. The correlation of the average size, electrochemical activities, protein size, and device property of PEI-AuNPs is investigated. The synthesized PEI-AuNPs with different average diameters ranging from 4.7 to 44.9 nm are employed for the investigation. When the sensor surface forms a sandwich architecture, the detection employs the current response of Ag+ ions on the PEI-AuNPs bioconjugate, which greatly increases by increasing the protein concentration. In addition, the best electrochemical signal of PEI-AuNPs or their antibody complexes with a unique AuNPs' average size allows superior signal amplification. The effect of using different sizes of target proteins on their devices is not significantly observed. Although in general small-sized nanomaterials offer high active surface areas, which can improve the electrode surface, reactivity, and device performance, we observe that the medium size of PEI-AuNPs (16.3 nm) gives the best sensitivity and detection limit of this sensor type. Therefore, the finding is useful for considering and optimizing their sizes for tunable voltammetric properties and acquiring a superior sensor.

Clinical profile, histopathology, and management of caruncular lesions; a systematic review

BACKGROUND

The lacrimal caruncle, a nodular structure located at the inner canthus, contains a variety of tissue types, leading to diverse clinical manifestations of its lesions. Caruncular lesions, though rare, may be benign or malignant, complicating diagnosis and treatment. This systematic review aims to provide a comprehensive overview of the clinical profiles, histopathological features, and management strategies for caruncular lesions.

METHODS

This was a PROSPERO-registered (CRD42024529956), PRISMA guideline-adherent systematic review. Databases searched include PubMed, Scopus, and CINAHL Ultimate from inception to June 29, 2024. Grey literature was also searched. Studies involving patients diagnosed with caruncular lesions were included. A novel classification strategy has been developed and proposed.

RESULTS

From an initial 1602 articles, 16 studies were included, representing a range of demographics and clinical features. Histopathological diagnosis varied widely, with benign lesions more common than malignant ones. Common benign lesions included nevi, papillomas, and pyogenic granulomas, while malignant lesions included basal cell carcinomas, sebaceous cell carcinomas, and melanomas. Medical management often combined topical therapies with surgical excision. Surgical management primarily involved excision, with some cases necessitating more radical procedures, which were typically reserved for extensive or malignant lesions. Recurrence was noted in several studies, with melanomas being at the highest risk of recurrence.

CONCLUSION

Caruncular lesions exhibit diverse histopathological profiles, necessitating a combination of clinical and histopathological examination for accurate diagnosis and management. Early detection and appropriate management are crucial for improving patient outcomes. Despite the rarity of these lesions, their potential malignancy and systemic metastasis create a need for prospective studies.

Smoking status, symptom significance and healthcare seeking with lung cancer symptoms in the Danish general population

This study analyses the associations between smoking status and perceived symptom significance (concern and influence on daily activity) among individuals with possible lung cancer symptoms and investigate the influence of symptom significance on healthcare seeking among individuals with different smoking status. A nationwide survey with 21,920 randomly selected individuals aged ≥40 years included questions about lung cancer symptoms, symptom concern and influence on daily activities, GP contact, and smoking status. Descriptive statistics and multivariable regression models were applied. Overall, individuals who currently smoked were more likely to perceive their lung cancer symptoms as significant, and individuals who reported high symptom significance were more likely to seek healthcare with both specific and non-specific symptoms. The significance of symptoms appeared to have less pronounced effect on prompting healthcare seeking among individuals with a history of current smoking. This implies that they may benefit from support and encouragement to seek care.

Primary Care Referral Delays in Oral Cancer Diagnosis: A Meta‐Analysis

Objective

To measure the primary care interval (PCI) in the diagnostic delay of oral cancer and to assess the relation of the referring physician's specialty with disease stage at diagnosis.

Methods

We meta‐analyzed reports of oral/oropharyngeal carcinomas detailing PCI start‐ and endpoints, i.e., the time needed by a primary care physician to refer a suspected oral cancer patient to a specialist.

Results

17 studies with a total of 2530 patients were eligible; nine provided data on the relative length of PCI, and 10 reported on the impact of the referring professional's specialty on oral cancer diagnostic delay. The average PCI length was slightly longer for general practitioners (GPs) (30.5 days) than for general dental practitioners (GDPs) (27.6 days), while that for the total group was 28.7 days. One‐third of the total pre‐hospital time spent on diagnosis elapses in GP practices (PCI%: 0.31 [95% CI: 0.23, 0.40]). GDPs refer their patients for treatment at earlier disease stages (TNM I‐II) than GPs (Odds Ratio: 0.58; 95% CI: 0.34–0.98).

Conclusions

Primary care accounts for a considerable pre‐hospital amount of time of what is necessary for reaching a diagnosis of oral cancer patients. This calls for enhancing early oral cancer recognition in primary care settings.

Adoption, acceptance, and use of a decision support tool to promote timely investigations for cancer in primary care

BACKGROUND

The complexities of diagnosing cancer in general practice has driven the development of quality improvement (QI) interventions, including clinical decision support (CDS) and auditing tools. Future Health Today (FHT) is a novel QI tool, consisting of CDS at the point-of-care, practice population-level auditing, recall, and the monitoring of QI activities.

OBJECTIVES

Explore the acceptability and usability of the FHT cancer module, which flags patients with abnormal test results that may be indicative of undiagnosed cancer.

METHODS

Interviews were conducted with general practitioners (GPs) and general practice nurses (GPNs), from practices participating in a randomized trial evaluating the appropriate follow-up of patients. Clinical Performance Feedback Intervention Theory (CP-FIT) was used to analyse and interpret the data.

RESULTS

The majority of practices reported not using the auditing and QI components of the tool, only the CDS which was delivered at the point-of-care. The tool was used primarily by GPs; GPNs did not perceive the clinical recommendations to be within their role. For the CDS, facilitators for use included a good workflow fit, ease of use, low time cost, importance, and perceived knowledge gain. Barriers for use of the CDS included accuracy, competing priorities, and the patient population.

CONCLUSIONS

The CDS aligned with the clinical workflow of GPs, was considered non-disruptive to the consultation and easy to implement into usual care. By applying the CP-FIT theory, we were able to demonstrate the key drivers for GPs using the tool, and what limited the use by GPNs.

Intra-ethnic and geographic disparities in stage at diagnosis for non-small cell lung cancer

BACKGROUND

Despite the importance of early detection for lung cancer outcomes, staging disparities among the growing US Hispanic population remain underexplored. This population-based study aimed to identify racial/ethnic disparities among non-Hispanic White, non-Hispanic Black, and Hispanic (including specific subgroups) patients in stage at diagnosis for potentially curable non-small cell lung cancer (NSCLC).

METHODS

Incident NSCLC cases (2005-2018) were extracted from the Florida cancer registry. Stage was categorized as early (localized/regional) or advanced (distant). Multivariable logistic regression assessed the association between race/ethnicity and stage at diagnosis, adjusting for socioeconomic status, smoking, and clinical factors.

RESULTS

Among 157 034 NSCLC patients, 47.8% were diagnosed at an advanced stage. Multivariable models showed higher odds of advanced-stage diagnosis for non-Hispanic Blacks (adjusted odds ratio [ORadj] = 1.22, 95% confidence interval [CI] = 1.17 to 1.26) and Hispanics (ORadj = 1.03, 95% CI = 1.00 to 1.08) compared with non-Hispanic Whites. Regional differences were stark for Hispanics compared with non-Hispanic Whites: ORadj = 0.96 (95% CI = 0.91 to 1.01) in South Florida vs 1.12 (95% CI = 1.05 to 1.19) in the rest of Florida. In South Florida, Central Americans (ORadj = 1.49, 95% CI = 1.20 to 1.85) were the only Hispanic group showing a staging disadvantage compared with non-Hispanic Whites.

CONCLUSION

Pronounced disparities in NSCLC staging among non-Hispanic Black and Hispanic populations, with notable regional variations within Florida's Hispanic communities, indicate that targeted interventions could significantly enhance early detection. The relative advantage observed in nearly all minority groups in multicultural South Florida compared with the rest of Florida underscores the need for future research exploring how specific Hispanic and multiracial sociocultural contexts can positively influence the landscape of cancer early detection across the United States.

The effect of comorbidities on diagnostic interval for lung cancer in England: a cohort study using electronic health record data

BACKGROUND

Comorbid conditions may delay lung cancer diagnosis by placing demand on general practioners' time reducing the possibility of prompt cancer investigation ("competing demand conditions"), or by offering a plausible non-cancer explanation for signs/symptoms ("alternative explanation conditions").

METHOD

Patients in England born before 1955 and diagnosed with incident lung cancer between 1990 and 2019 were identified in the Clinical Practice Research Datalink and linked hospital admission and cancer registry data. Diagnostic interval was defined as time from first presentation in primary care with a relevant sign/symptom to the diagnosis date. 14 comorbidities were classified as ten "competing demand" and four "alternative explanation" conditions. Associations with diagnostic interval were investigated using multivariable linear regression models.

RESULTS

Complete data were available for 11870 lung cancer patients. In adjusted analyses diagnostic interval was longer for patients with "alternative explanation" conditions, by 31 and 74 days in patients with one and ≥2 conditions respectively versus those with none. Number of "competing demand" conditions did not remain in the final adjusted regression model for diagnostic interval.

CONCLUSIONS

Conditions offering alternative explanations for lung cancer symptoms are associated with increased diagnostic intervals. Clinical guidelines should incorporate the impact of alternative and competing causes upon delayed diagnosis.

Clinical characterisation of patients diagnosed with cancer following emergency self-referral

BACKGROUND

Despite their frequency and potential impact on prognosis, cancers diagnosed via self-referral to the emergency department are poorly documented. We conducted a detailed analysis of cancer patients diagnosed following emergency self-referral and compared them with those diagnosed following emergency referral from primary care. Given the challenges associated with measuring intervals in the emergency self-referral pathway, we also aimed to provide a definition of the diagnostic interval for these cancers.

METHODS

A retrospective observational analysis was performed on patients diagnosed with 13 cancers, either following emergency self-referral or emergency referral from primary care. We analysed demographics, tumour stage, clinical data (including 28 presenting symptoms categorised by body systems), and diagnostic intervals by cancer site, then testing for differences between pathways.

RESULTS

Out of 3624 patients, 37 % were diagnosed following emergency self-referral and 63 % via emergency referral from primary care. Emergency self-referrals were associated with a higher likelihood of being diagnosed with cancers manifesting with localising symptoms (e.g., breast and endometrial cancer), whereas the likelihood of being diagnosed with cancers featuring nonspecific symptoms and abdominal pain (e.g., pancreatic and ovarian cancer) was higher among patients referred from primary care. Diagnostic intervals in self-referred patients were half as long as those in patients referred from primary care, with most significant differences for pancreatic cancer (28 [95 % CI -34 to -23] days shorter, respectively).

CONCLUSION

These findings enrich the best available evidence on cancer diagnosis through emergency self-referral and showed that, compared with the emergency referral pathway from primary care, these patients had a significantly increased likelihood of presenting with symptoms that are strongly predictive of cancer. Since the starting point for the diagnostic interval in these patients is their emergency presentation, comparing it with that of those referred from primary care as an emergency is likely to result in biased data.

Determining factors of presentation and diagnosis delays in patients with colorectal cancer and the impact on stage: a cross sectional study in Yogyakarta, Indonesia

Background

Early colorectal cancer (CRC) symptom recognition and prompt diagnosis are crucial for the identification of cases in the earliest stage and for improving survival. This study investigates the incidence of presentation and diagnosis delays, their contributing determinants and their impact on the cancer stage at diagnosis.

Methods

This cross-sectional study recruited 227 CRC patients between November 2022 and October 2023. We developed a semi-structured questionnaire to collect information on the factors related to delays in the presentation and diagnosis. Presentation delay was defined as the time between the initial symptoms and the first consultation exceeding 1 month, while diagnosis delay was defined as the time between presentation and the pathological diagnosis confirmation exceeding 4 months. We examined the impact of these delays on the status of the metastatic disease and identified the determinants of the presentation and diagnosis delays.

Results

The median values for presentation and diagnosis delay are 1 and 4 months, respectively. Patients aged ≥60 years were less likely to experience diagnosis delays odds ratio (OR = 0.52, 95% confidence interval (CI) 0.28-0.95, p = 0.035), as opposed to those who were younger. The absence of red flag symptoms at presentation (OR = 2.73, 95% CI 1.47-5.10, p = 0.002), the utilisation of complementary and alternative medicine (OR = 2.01, 95% CI 1.12-3.61, p = 0.019) and ≥3 distinct healthcare facility visits before diagnosis (OR = 3.51, 95% CI 1.95-6.29, p < 0.001) were associated with an increased risk of diagnosis delays. Diagnosis delays were also correlated with a higher risk of metastatic disease at diagnosis (OR = 2.04, 95% CI 1.17-3.53, p = 0.011).

Conclusion

Our CRC patients experience considerable delays in their presentation and diagnosis. Diagnosis delays were observed to increase the likelihood of presenting with metastatic disease. Given the determinants and the patients' perspectives revealed in this study, future research to explore evidence-based approaches to reducing these delays is warranted.

Time to Diagnosis and Presenting Symptoms of Patients Diagnosed With Cancer Through Emergency and Nonemergency Routes: A Large Retrospective Study From a High-Volume Center

PURPOSE

The symptoms with which a patient with cancer presents and the route taken to diagnosis (emergency v nonemergency) may affect the speed with which the diagnosis of cancer is made, thereby affecting outcomes. We examined time to diagnosis by symptom for cancers diagnosed through emergency and nonemergency routes (NERs).

METHODS

We performed a retrospective review of patients diagnosed with 10 solid cancers at Hospital Clínic of Barcelona between March 2013 and June 2023. Cancers were diagnosed through emergency presentation and admission (inpatient emergency route [IER]), emergency presentation and outpatient referral (outpatient emergency route [OER]), and primary care presentation and outpatient referral (NER). We assessed the effect of diagnostic routes on intervals to diagnosis for 19 cancer symptoms.

RESULTS

A total of 5,174 and 1,607 patients were diagnosed with cancer through emergency routes and NERs, respectively. Over 85% of patients presenting with alarm (localizing) symptoms such as hematuria through emergency routes were diagnosed with the expected cancer, whereas those with nonlocalizing symptoms such as abdominal pain had a more heterogeneous cancer-site composition. Median intervals were shorter for alarm than nonlocalizing symptoms and tended to be shorter in IERs than OERs. However, for most symptoms, intervals in both routes were invariably shorter than in the NER. For example, diagnostic intervals for hematuria and abdominal pain were 3 and 5 days shorter in IERs than OERs, but they were 5-8 and 17-22 days shorter than in the NER, respectively.

CONCLUSION

For patients with alarm symptoms, intervals were shorter than for those with nonlocalizing symptoms and, for most symptoms, intervals were shorter when patients were evaluated by emergency routes rather than NERs.

Predictive value of abnormal blood tests for detecting cancer in primary care patients with nonspecific abdominal symptoms: A population-based cohort study of 477,870 patients in England

BACKGROUND

Identifying patients presenting with nonspecific abdominal symptoms who have underlying cancer is a challenge. Common blood tests are widely used to investigate these symptoms in primary care, but their predictive value for detecting cancer in this context is unknown. We quantify the predictive value of 19 abnormal blood test results for detecting underlying cancer in patients presenting with 2 nonspecific abdominal symptoms.

METHODS AND FINDINGS

Using data from the UK Clinical Practice Research Datalink (CPRD) linked to the National Cancer Registry, Hospital Episode Statistics and Index of Multiple Deprivation, we conducted a population-based cohort study of patients aged ≥30 presenting to English general practice with abdominal pain or bloating between January 2007 and October 2016. Positive and negative predictive values (PPV and NPV), sensitivity, and specificity for cancer diagnosis (overall and by cancer site) were calculated for 19 abnormal blood test results co-occurring in primary care within 3 months of abdominal pain or bloating presentations. A total of 9,427/425,549 (2.2%) patients with abdominal pain and 1,148/52,321 (2.2%) with abdominal bloating were diagnosed with cancer within 12 months post-presentation. For both symptoms, in both males and females aged ≥60, the PPV for cancer exceeded the 3% risk threshold used by the UK National Institute for Health and Care Excellence for recommending urgent specialist cancer referral. Concurrent blood tests were performed in two thirds of all patients (64% with abdominal pain and 70% with bloating). In patients aged 30 to 59, several blood abnormalities updated a patient's cancer risk to above the 3% threshold: For example, in females aged 50 to 59 with abdominal bloating, pre-blood test cancer risk of 1.6% increased to: 10% with raised ferritin, 9% with low albumin, 8% with raised platelets, 6% with raised inflammatory markers, and 4% with anaemia. Compared to risk assessment solely based on presenting symptom, age and sex, for every 1,000 patients with abdominal bloating, assessment incorporating information from blood test results would result in 63 additional urgent suspected cancer referrals and would identify 3 extra cancer patients through this route (a 16% relative increase in cancer diagnosis yield). Study limitations include reliance on completeness of coding of symptoms in primary care records and possible variation in PPVs if extrapolated to healthcare settings with higher or lower rates of blood test use.

CONCLUSIONS

In patients consulting with nonspecific abdominal symptoms, the assessment of cancer risk based on symptoms, age and sex alone can be substantially enhanced by considering additional information from common blood test results. Male and female patients aged ≥60 presenting to primary care with abdominal pain or bloating warrant consideration for urgent cancer referral or investigation. Further cancer assessment should also be considered in patients aged 30 to 59 with concurrent blood test abnormalities. This approach can detect additional patients with underlying cancer through expedited referral routes and can guide decisions on specialist referrals and investigation strategies for different cancer sites.

Trends in primary care blood tests prior to lung and colorectal cancer diagnosis-A retrospective cohort study using linked Australian data

INTRODUCTION

Abnormal results in common blood tests may occur several months before lung cancer (LC) and colorectal cancer (CRC) diagnosis. Identifying early blood markers of cancer and distinct blood test signatures could support earlier diagnosis in general practice.

METHODS

Using linked Australian primary care and hospital cancer registry data, we conducted a cohort study of 855 LC and 399 CRC patients diagnosed between 2001 and 2021. Requests and results from general practice blood tests (six acute phase reactants [APR] and six red blood cell indices [RBCI]) were examined in the 2 years before cancer diagnosis. Poisson regression models were used to estimate monthly incidence rates and examine pre-diagnostic trends in blood test use and abnormal results prior to cancer diagnosis, comparing patterns in LC and CRC patients.

RESULTS

General practice blood test requests increase from 7 months before CRC and 6 months before LC diagnosis. Abnormalities in many APR and RBCI tests increase several months before cancer diagnosis, often occur prior to or in the absence of anaemia (in 51% of CRC and 81% of LC patients with abnormalities), and are different in LC and CRC patients.

CONCLUSIONS

This study demonstrates an increase in diagnostic activity in Australian general practice several months before LC and CRC diagnosis, indicating potential opportunities for earlier diagnosis. It identifies blood test abnormalities and distinct signatures that are early markers of LC and CRC. If combined with other pre-diagnostic information, these blood tests have potential to support GPs in prioritising patients for cancer investigation of different sites to expedite diagnosis.

Nonspecific Signs and/or Symptoms of Cancer: A Retrospective, Observational Analysis from a Secondary Care, US Community Oncology Dataset

To help determine the unmet need for improved diagnostic tools to evaluate patients with nonspecific signs and/or symptoms (NSSS) and suspicion of cancer, we examined patient characteristics, diagnostic journey, and cancer incidence of patients with NSSS within The US Oncology Network (The Network), a secondary care community oncology setting. This retrospective, observational cohort study included patients aged ≥40 years with ≥1 NSSS in their problem list at their first visit within The Network (the index date) between 1 January 2016 and 31 December 2020. Patients were followed longitudinally with electronic health record data for initial cancer diagnosis, new noncancer diagnosis, death, end of study observation period, or 12 months, whichever occurred first. Of 103,984 patients eligible for inclusion, 96,722 presented with only 1 NSSS at index date; 6537/103,984 (6.3%) were diagnosed with 1 primary cancer within 12 months after the index date; 3825/6537 (58.5%) with hematologic malignancy, and 2712/6537 (41.5%) with solid tumor. Among patients diagnosed with cancer (n = 6774), the median time to cancer diagnosis after their first visit within The Network was 5.13 weeks. This study provides a real-world perspective on cancer incidence in patients with NSSS referred to a secondary care setting and highlights the unmet need for improved diagnostic tools to improve cancer outcomes.

Emergency department involvement in the diagnosis of cancer among older adults: a SEER-Medicare study

BACKGROUND

Internationally, 20% to 50% of cancer is diagnosed through emergency presentation, which is associated with lower survival, poor patient experience, and socioeconomic disparities, but population-based evidence about emergency diagnosis in the United States is limited. We estimated emergency department (ED) involvement in the diagnosis of cancer in a nationally representative population of older US adults, and its association with sociodemographic, clinical, and tumor characteristics.

METHODS

We analyzed Surveillance, Epidemiology, and End Results Program-Medicare data for Medicare beneficiaries (≥66 years old) with a diagnosis of female breast, colorectal, lung, and prostate cancers (2008-2017), defining their earliest cancer-related claim as their index date, and patients who visited the ED 0 to 30 days before their index date to have "ED involvement" in their diagnosis, with stratification as 0 to 7 or 8 to 30 days. We estimated covariate-adjusted associations of patient age, sex, race and ethnicity, marital status, comorbidity score, tumor stage, year of diagnosis, rurality, and census-tract poverty with ED involvement using modified Poisson regression.

RESULTS

Among 614 748 patients, 23% had ED involvement, with 18% visiting the ED in the 0 to 7 days before their index date. This rate varied greatly by tumor site, with breast cancer at 8%, colorectal cancer at 39%, lung cancer at 40%, and prostate cancer at 7%. In adjusted models, older age, female sex, non-Hispanic Black and Native Hawaiian or Other Pacific Islander race, being unmarried, recent year of diagnosis, later-stage disease, comorbidities, and poverty were associated with ED involvement.

CONCLUSIONS

The ED may be involved in the initial identification of cancer for 1 in 5 patients. Earlier, system-level identification of cancer in non-ED settings should be prioritized, especially among underserved populations.

Competitive endogenous RNA networks: Decoding the role of long non-coding RNAs and circular RNAs in colorectal cancer chemoresistance

Colorectal cancer (CRC) is recognized as one of the most common gastrointestinal malignancies across the globe. Despite significant progress in designing novel treatments for CRC, there is a pressing need for more effective therapeutic approaches. Unfortunately, many patients undergoing chemotherapy develop drug resistance, posing a significant challenge for cancer treatment. Non-coding RNAs (ncRNAs) have been found to play crucial roles in CRC development and its response to chemotherapy. However, there are still gaps in our understanding of interactions among various ncRNAs, such as long non-coding RNAs (lncRNAs), circular RNAs (circRNAs) and microRNAs (miRNAs). These ncRNAs can act as either oncogenes or tumour suppressors, affecting numerous biological functions in different cancers including CRC. A class of ncRNA molecules known as competitive endogenous RNAs (ceRNAs) has emerged as a key player in various cellular processes. These molecules form networks through lncRNA/miRNA/mRNA and circRNA/miRNA/mRNA interactions. In CRC, dysregulation of ceRNA networks has been observed across various cellular processes, including proliferation, apoptosis and angiogenesis. These dysregulations are believed to play a significant role in the progression of CRC and, in certain instances, may contribute to the development of chemoresistance. Enriching our knowledge of these dysregulations holds promise for advancing the field of diagnostic and therapeutic modalities for CRC. In this review, we discuss lncRNA- and circRNA-associated ceRNA networks implicated in the emergence and advancement of drug resistance in colorectal carcinogenesis.

The presenting symptom signatures of incident cancer: evidence from the English 2018 National Cancer Diagnosis Audit

BACKGROUND

Understanding relationships between presenting symptoms and subsequently diagnosed cancers can inform symptom awareness campaigns and investigation strategies.

METHODS

We used English National Cancer Diagnosis Audit 2018 data for 55,122 newly diagnosed patients, and examined the relative frequency of presenting symptoms by cancer site, and of cancer sites by presenting symptom.

RESULTS

Among 38 cancer sites (16 cancer groups), three classes were apparent: cancers with a dominant single presenting symptom (e.g. melanoma); cancers with diverse presenting symptoms (e.g. pancreatic); and cancers that are often asymptomatically detected (e.g. chronic lymphocytic leukaemia). Among 83 symptoms (13 symptom groups), two classes were apparent: symptoms chiefly relating to cancers of the same body system (e.g. certain respiratory symptoms mostly relating to respiratory cancers); and symptoms with a diverse cancer site case-mix (e.g. fatigue). The cancer site case-mix of certain symptoms varied by sex.

CONCLUSION

We detailed associations between presenting symptoms and cancer sites in a large, representative population-based sample of cancer patients. The findings can guide choice of symptoms for inclusion in awareness campaigns, and diagnostic investigation strategies post-presentation when cancer is suspected. They can inform the updating of clinical practice recommendations for specialist referral encompassing a broader range of cancer sites per symptom.

Laboratory practice is central to earlier myeloma diagnosis: Utilizing a primary care diagnostic tool and laboratory guidelines integrated into haematology services

Treatment advances have greatly improved survival, but myeloma is among the worst of all cancers for delayed diagnosis, causing serious morbidities and early deaths. This delay is largely because the symptom profile of myeloma has very low specificity, and in primary care, myeloma is rare. However, initiating the journey to diagnosis simply requires considering myeloma and sending blood to test for monoclonal immunoglobulin. Laboratory tests reliably detect monoclonal immunoglobulin, which is present in 99% of myeloma cases, so why do health care systems have such a problem with delayed diagnosis? The Myeloma UK early diagnosis programme has brought together diverse expertise to investigate this problem, and this article was prepared by the programme's working group for laboratory best practice. It reviews evidence for test requesting, analysis and reporting, for which there is large variation in practice across the United Kingdom. It presents a 'GP Myeloma diagnostic tool' and how it can be integrated into laboratory practice alongside a laboratory best practice tool. It proposes improved requesting and integration with haematology services for reporting and interpretation. Here the laboratory has a central role in creating efficient and cost-effective pathways for appropriate and timely bone marrow examination for myeloma diagnosis.

Urinary Incontinence Following Robotic-Assisted Radical Prostatectomy: A Literature Review

Prostate cancer ranks as one of the most prevalent cancers among men in the United States, contributing significantly to cancer-related mortality. Robot-assisted radical prostatectomy (RARP) has become a cornerstone in the management of localized prostate cancer. This literature review delves into the outcomes of RARP, specifically its impact on urinary incontinence (UI) compared to other surgical methods. We also present the importance of patient perception versus medical reports. Recent studies and trials have unveiled that postoperative UI and erectile dysfunction (ED) remain common concerns following prostatectomy. However, studies have shown that RARP has lower occurrences of UI and ED compared to radical retropubic prostatectomy (RRP). While the choice of surgical method may not drastically affect these outcomes, the review emphasizes that urinary incontinence extends beyond physical symptoms. It profoundly impacts patients' psychological well-being, social interactions, and overall quality of life. Differences in symptom recording and interpretation between patients and healthcare professionals can significantly influence the diagnosis and treatment of prostate cancer. Enhanced patient-physician communication and patient-centered care are essential to providing a holistic approach to prostate cancer management. The choice of surgical methods may not significantly impact postoperative urinary incontinence and erectile dysfunction. Continued research and advancements in treatment and patient care are crucial for improving outcomes and the overall well-being of prostate cancer patients.

Diagnosis, treatment, and survival from kidney cancer: real-world National Health Service England data between 2013 and 2019

OBJECTIVES

To report the NHS Digital (NHSD) data for patients diagnosed with kidney cancer (KC) in England. We explore the incidence, route to diagnosis (RTD), treatment, and survival patterns from 2013 to 2019.

MATERIALS AND METHODS

Data was extracted from the Cancer Data NHSD portal for International Classification of Diseases, 10th edition coded KC; this included Cancer Registry data, Hospital Episode Statistics, and cancer waiting times data.

RESULTS

Registrations included 66 696 individuals with KC. Incidence of new KC diagnoses increased (8998 in 2013, to 10 232 in 2019), but the age-standardised rates were stable (18.7-19.4/100 000 population). Almost half of patients (30 340 [45.5%]) were aged 0-70 years and the cohort were most frequently diagnosed with Stage 1-2 KC (n = 26 297 [39.4%]). Most patients were diagnosed through non-urgent general practitioner referrals (n = 16 814 [30.4%]), followed by 2-week-wait (n = 15 472 [28.0%]) and emergency routes (n = 11 796 [21.3%]), with older patients (aged ≥70 years), Stage 4 KCs, and patients with non-specified renal cell carcinoma being significantly more likely to present through the emergency route (all P < 0.001). Invasive treatment (surgery or ablation), radiotherapy, or systemic anti-cancer therapy use varied with disease stage, patient factors, and treatment network (Cancer Alliance). Survival outcomes differed by Stage, histological subtype, and social deprivation class (P < 0.001). Age-standardised mortality rates did not change over the study duration, although immunotherapy usage is likely not captured in this study timeline.

CONCLUSION

The NHSD resource provides useful insight about the incidence, diagnostic pathways, treatment, and survival of patients with KC in England and a useful benchmark for the upcoming commissioned National Kidney Cancer Audit. The RTD data may be limited by incidental diagnoses, which could confound the high proportion of 'emergency' diagnoses. Importantly, survival outcomes remained relatively unchanged.

Socioeconomic position and the pre-diagnostic interval among patients diagnosed with head and neck squamous cell carcinoma - a population-based study from DAHANCA

BACKGROUND

The socioeconomic differences in survival are pronounced for patients diagnosed with head and neck cancer; disease stage at diagnosis is suggested to be a main driver of this association. This nationwide, population-based study investigates socioeconomic differences in the pre-diagnostic interval and disease stage at diagnosis.

MATERIAL AND METHODS

Information on patient-reported symptoms, symptom onset and disease-specific factors was obtained from the nationwide population-based Danish Head and Neck Cancer Group (DAHANCA) database for patients diagnosed with head and neck squamous cell carcinoma between 2008 and 2019 in Denmark. Socioeconomic position (SEP) was measured by individual-level education, income and cohabitation status obtained from administrative registers. Socioeconomic differences in the interval from symptom onset to diagnosis were investigated in general linear models with 95% confidence intervals (CIs); overall and by subsite, symptom and comorbidity score. Consultation patterns prior to diagnosis were examined using methods for change-point detection. Associations with advanced-stage disease were estimated in logistic regression models.

RESULTS

Patients with low, medium and high SEP had a similar interval from patient-reported symptom onset to diagnosis of 10 weeks. Although this interval varied according to primary symptom and anatomical subsite, no apparent socioeconomic differences were observed within these subgroups. Aligned with the patient-reported symptom onset, a distinct increase in consultation rates was observed at 9 weeks (95% CI [7.3; 10.7]) for patients with low SEP and 7 weeks (95% CI [4.8; 9.2]) for patients with high SEP, with overlapping CIs. Patients with low compared to high SEP had increased odds for advanced-stage glottic and oral cavity squamous cell carcinoma. For the remaining subsites the association varied according to SEP-indicator and TNM-edition.

CONCLUSION

The interval from symptom onset to diagnosis and consultation patterns were similar across SEP groups. Still, socioeconomic differences in stage at diagnosis were observed for some - but not all - subsites.

Time intervals and previous primary care consultations in the pathway to emergency cancer diagnosis

BACKGROUND

Time intervals and number of prior consultations in primary care (PC) are recognised metrics of diagnostic timeliness of cancer and are interrelated. However, whether and how the two measures correlate with each other in the emergency diagnostic pathway is unknown. We investigated the association between the number of prereferral consultations and the length of intervals from PC presentation to cancer diagnosis following emergency referral to hospital.

METHODS

Patients were eligible if they first consulted in PC and were diagnosed with cancer following emergency or nonemergency referral to hospital. We analysed for differences in PC and diagnostic intervals and number of consultations between emergency and nonemergency presenters and determined their associations by cancer type. Differences in presenting symptoms and stage at diagnosis between populations and according to number of consultations were also examined.

RESULTS

There were 796 emergency and 865 nonemergency presenters with comparable sociodemographic and comorbidity data. Correlation analysis in emergency presenters revealed a strong positive association between number of consultations and intervals for seven of 13 different cancers, including cancers characterised by high proportions of > 3 consultations and long intervals (pancreatic, lung, and colorectal cancer) and vice versa for others (e.g., endometrial, cervical, or oesophageal cancer). Additionally, emergency presenters with > 3 consultations were more likely than those with 1-2 to report nonspecific symptoms (60 vs. 40%, respectively) and to be diagnosed at a later stage.

CONCLUSION

System level interventions are needed to reduce unnecessary delays in the emergency diagnostic pathway, particularly in cancer patients with multiple prereferral consultations. The findings also suggest opportunities to reduce the proportion of emergency diagnoses by targeting symptomatic individuals pre-presentation.

Earlier Diagnosis of Pancreatic Cancer: Is It Possible?

Pancreatic ductal adenocarcinoma has a very high mortality rate which has been only minimally improved in the last 30 years. This high mortality is closely related to late diagnosis, which is usually made when the tumor is large and has extensively infiltrated neighboring tissues or distant metastases are already present. This is a paradoxical situation for a tumor that requires nearly 15 years to develop since the first founding mutation. Response to chemotherapy under such late circumstances is poor, resistance is frequent, and prolongation of survival is almost negligible. Early surgery has been, and still is, the only approach with a slightly better outcome. Unfortunately, the relapse percentage after surgery is still very high. In fact, early surgery clearly requires early diagnosis. Despite all the advances in diagnostic methods, the available tools for improving these results are scarce. Serum tumor markers permit a late diagnosis, but their contribution to an improved therapeutic result is very limited. On the other hand, effective screening methods for high-risk populations have not been fully developed as yet. This paper discusses the difficulties of early diagnosis, evaluates whether the available diagnostic tools are adequate, and proposes some simple and not-so-simple measures to improve it.

Incidence of 'Low-Risk but Not No-Risk' Features of Cancer Prior to High-Risk Feature Occurrence: An Observational Cohort Study in Primary Care

Diagnosing cancer may be expedited by decreasing referral risk threshold. Clinical Practice Research Datalink participants (≥40 years) had a positive predictive value (PPV) ≥3% feature for breast, lung, colorectal, oesophagogastric, pancreatic, renal, bladder, prostatic, ovarian, endometrial or laryngeal cancer in 2016. The numbers of participants with features representing a 1-1.99% or 2-2.99% PPV for same cancer in the previous year were reported, alongside the time difference between meeting the ≥3% criteria and the lower threshold criteria. A total of 8616 participants had a PPV ≥3% feature, of whom 365 (4.2%) and 1147 (13.3%), respectively, met 2-2.99% and 1-1.99% criteria in the preceding year. The median time difference was 131 days (Interquartile Range (IQR) 27 to 256) for the 2-2.99% band and 179 days (IQR 58 to 289) for the 1-1.99% band. Results were heterogeneous across cancer sites. For some cancers, participants may progress from presenting lower- to higher-risk features before meeting urgent referral criteria; however, this was not usually the case. The details of specific features across multiple cancer sites will allow for a tailored approach to future reductions in referral thresholds, potentially improving the efficiency of urgent cancer referrals for the benefit both of individuals and the National Health Service (NHS).

Multi-cancer early detection test in symptomatic patients referred for cancer investigation in England and Wales (SYMPLIFY): a large-scale, observational cohort study

BACKGROUND

Analysis of circulating tumour DNA could stratify cancer risk in symptomatic patients. We aimed to evaluate the performance of a methylation-based multicancer early detection (MCED) diagnostic test in symptomatic patients referred from primary care.

METHODS

We did a multicentre, prospective, observational study at National Health Service (NHS) hospital sites in England and Wales. Participants aged 18 or older referred with non-specific symptoms or symptoms potentially due to gynaecological, lung, or upper or lower gastrointestinal cancers were included and gave a blood sample when they attended for urgent investigation. Participants were excluded if they had a history of or had received treatment for an invasive or haematological malignancy diagnosed within the preceding 3 years, were taking cytotoxic or demethylating agents that might interfere with the test, or had participated in another study of a GRAIL MCED test. Patients were followed until diagnostic resolution or up to 9 months. Cell-free DNA was isolated and the MCED test performed blinded to the clinical outcome. MCED predictions were compared with the diagnosis obtained by standard care to establish the primary outcomes of overall positive and negative predictive value, sensitivity, and specificity. Outcomes were assessed in participants with a valid MCED test result and diagnostic resolution. SYMPLIFY is registered with ISRCTN (ISRCTN10226380) and has completed follow-up at all sites.

FINDINGS

6238 participants were recruited between July 7 and Nov 30, 2021, across 44 hospital sites. 387 were excluded due to staff being unable to draw blood, sample errors, participant withdrawal, or identification of ineligibility after enrolment. Of 5851 clinically evaluable participants, 376 had no MCED test result and 14 had no information as to final diagnosis, resulting in 5461 included in the final cohort for analysis with an evaluable MCED test result and diagnostic outcome (368 [6·7%] with a cancer diagnosis and 5093 [93·3%] without a cancer diagnosis). The median age of participants was 61·9 years (IQR 53·4-73·0), 3609 (66·1%) were female and 1852 (33·9%) were male. The MCED test detected a cancer signal in 323 cases, in whom 244 cancer was diagnosed, yielding a positive predictive value of 75·5% (95% CI 70·5-80·1), negative predictive value of 97·6% (97·1-98·0), sensitivity of 66·3% (61·2-71·1), and specificity of 98·4% (98·1-98·8). Sensitivity increased with increasing age and cancer stage, from 24·2% (95% CI 16·0-34·1) in stage I to 95·3% (88·5-98·7) in stage IV. For cases in which a cancer signal was detected among patients with cancer, the MCED test's prediction of the site of origin was accurate in 85·2% (95% CI 79·8-89·3) of cases. Sensitivity 80·4% (95% CI 66·1-90·6) and negative predictive value 99·1% (98·2-99·6) were highest for patients with symptoms mandating investigation for upper gastrointestinal cancer.

INTERPRETATION

This first large-scale prospective evaluation of an MCED diagnostic test in a symptomatic population demonstrates the feasibility of using an MCED test to assist clinicians with decisions regarding urgency and route of referral from primary care. Our data provide the basis for a prospective, interventional study in patients presenting to primary care with non-specific signs and symptoms.

FUNDING

GRAIL Bio UK.

Presenting Symptoms in Newly Diagnosed Myeloma, Relation to Organ Damage, and Implications for Symptom-Directed Screening: A Secondary Analysis from the Tackling Early Morbidity and Mortality in Myeloma (TEAMM) Trial

Multiple myeloma (MM) patients risk diagnostic delays and irreversible organ damage. In those with newly diagnosed myeloma, we explored the presenting symptoms to identify early signals of MM and their relationships to organ damage. The symptoms were recorded in patients' own words at diagnosis and included diagnostic time intervals. Those seen by a haematologist >6 months prior to MM diagnosis were classified as precursor disease (PD). Most (962/977) patients provided data. Back pain (38%), other pain (31%) and systemic symptoms (28%) predominated. Patients rarely complain of 'bone pain', simply 'pain'. Vertebral fractures are under-recognised as pathological and are the predominant irreversible organ damage (27% of patients), impacting the performance status (PS) and associated with back pain (odds ratio (OR) 6.14 [CI 4.47-8.44]), bone disease (OR 3.71 [CI 1.88-7.32]) and age >65 years (OR 1.58 [CI 1.15-2.17]). Renal failure is less frequent and associated with gastrointestinal symptoms (OR 2.23 [CI1.28-3.91]), age >65 years (OR 2.14 [CI1.28-3.91]) and absence of back pain (OR 0.44 [CI 0.29-0.67]). Patients with known PD (n = 149) had fewer vertebral fractures (p = 0.001), fewer adverse features (p = 0.001), less decline in PS (p = 0.001) and a lower stage (p = 0.04) than 813 with de novo MM. Our data suggest subgroups suitable for trials of 'symptom-directed' screening: those with back pain, unexplained pain, a general decline in health or low-impact vertebral compression fractures.

Identification of Potent Inhibitors Targeting EGFR and HER3 for Effective Treatment of Chemoresistance in Non-Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) is the most common form of lung cancer. Despite the existence of various therapeutic options, NSCLC is still a major health concern due to its aggressive nature and high mutation rate. Consequently, HER3 has been selected as a target protein along with EGFR because of its limited tyrosine kinase activity and ability to activate PI3/AKT pathway responsible for therapy failure. We herein used a BioSolveIT suite to identify potent inhibitors of EGFR and HER3. The schematic process involves screening of databases for constructing compound library comprising of 903 synthetic compounds (602 for EGFR and 301 for HER3) followed by pharmacophore modeling. The best docked poses of compounds with the druggable binding site of respective proteins were selected according to pharmacophore designed by SeeSAR version 12.1.0. Subsequently, preclinical analysis was performed via an online server SwissADME and potent inhibitors were selected. Compound 4k and 4m were the most potent inhibitors of EGFR while 7x effectively inhibited the binding site of HER3. The binding energies of 4k, 4m, and 7x were -7.7, -6.3 and -5.7 kcal/mol, respectively. Collectively, 4k, 4m and 7x showed favorable interactions with the most druggable binding sites of their respective proteins. Finally, in silico pre-clinical testing by SwissADME validated the non-toxic nature of compounds 4k, 4m and 7x providing a promising treatment option for chemoresistant NSCLC.

Are There Ethnic Differences in Recorded Features among Patients Subsequently Diagnosed with Cancer? An English Longitudinal Data-Linked Study

We investigated ethnic differences in the presenting features recorded in primary care before cancer diagnosis.

METHODS

English population-based cancer-registry-linked primary care data were analysed. We identified the coded features of six cancers (breast, lung, prostate, colorectal, oesophagogastric, and myeloma) in the year pre-diagnosis. Logistic regression models investigated ethnic differences in first-incident cancer features, adjusted for age, sex, smoking status, deprivation, and comorbidity.

RESULTS

Of 130,944 patients, 92% were White. In total, 188,487 incident features were recorded in the year pre-diagnosis, with 48% (89,531) as sole features. Compared with White patients, Asian and Black patients with breast, colorectal, and prostate cancer were more likely than White patients to have multiple features; the opposite was seen for the Black and Other ethnic groups with lung or prostate cancer. The proportion with relevant recorded features was broadly similar by ethnicity, with notable cancer-specific exceptions. Asian and Black patients were more likely to have low-risk features (e.g., cough, upper abdominal pain) recorded. Non-White patients were less likely to have alarm features.

CONCLUSION

The degree to which these differences reflect disease, patient or healthcare factors is unclear. Further research examining the predictive value of cancer features in ethnic minority groups and their association with cancer outcomes is needed.

Perceived barriers to early presentation and symptom-specific time to seek medical advice for possible colorectal cancer symptoms among Palestinians

This study explored the anticipated time to seek medical advice for possible colorectal cancer (CRC) signs/symptoms and its association with CRC symptom awareness. In addition, it examined perceived barriers that may delay seeking medical advice. Palestinian adults were recruited from hospitals, primary healthcare centers, and public spaces in 11 governorates. A modified, translated-into-Arabic version of the validated Bowel Cancer Awareness Measure was used. The questionnaire comprised three sections: sociodemographics, assessment of CRC symptom awareness and time to seek medical advice, and barriers to early presentation. A total of 4623 participants were included. The proportion that reported seeking immediate medical advice for possible CRC signs/symptoms with blood or mass ranged from 47.1% for 'blood in stools' to 59.5% for 'bleeding from back passage'. Less than half of the participants reported immediate seeking of medical advice for non-specific symptoms (ranging from 5.4% for 'loss of appetite' to 42.0% for 'anemia') and other gastrointestinal symptoms (ranging from 7.7% for 'feeling persistently full' to 35.7% for 'change in bowel habits'). Good CRC symptom awareness was associated with higher likelihood of seeking medical advice within a week from recognizing a CRC symptom. About 13.0% reported a delay to visit their doctor after recognizing a CRC symptom. The most reported barriers were practical with 'would try some herbs first' (50.9%) as the leading barrier. CRC symptoms with blood or mass prompted earlier help seeking. Participants with good CRC awareness were more likely to seek medical advice within a week.

Symptoms and signs of lung cancer prior to diagnosis: case-control study using electronic health records from ambulatory care within a large US-based tertiary care centre

OBJECTIVE

Lung cancer is the most common cause of cancer-related death in the USA. While most patients are diagnosed following symptomatic presentation, no studies have compared symptoms and physical examination signs at or prior to diagnosis from electronic health records (EHRs) in the USA. We aimed to identify symptoms and signs in patients prior to diagnosis in EHR data.

DESIGN

Case-control study.

SETTING

Ambulatory care clinics at a large tertiary care academic health centre in the USA.

PARTICIPANTS, OUTCOMES

We studied 698 primary lung cancer cases in adults diagnosed between 1 January 2012 and 31 December 2019, and 6841 controls matched by age, sex, smoking status and type of clinic. Coded and free-text data from the EHR were extracted from 2 years prior to diagnosis date for cases and index date for controls. Univariate and multivariable conditional logistic regression were used to identify symptoms and signs associated with lung cancer at time of diagnosis, and 1, 3, 6 and 12 months before the diagnosis/index dates.

RESULTS

Eleven symptoms and signs recorded during the study period were associated with a significantly higher chance of being a lung cancer case in multivariable analyses. Of these, seven were significantly associated with lung cancer 6 months prior to diagnosis: haemoptysis (OR 3.2, 95% CI 1.9 to 5.3), cough (OR 3.1, 95% CI 2.4 to 4.0), chest crackles or wheeze (OR 3.1, 95% CI 2.3 to 4.1), bone pain (OR 2.7, 95% CI 2.1 to 3.6), back pain (OR 2.5, 95% CI 1.9 to 3.2), weight loss (OR 2.1, 95% CI 1.5 to 2.8) and fatigue (OR 1.6, 95% CI 1.3 to 2.1).

CONCLUSIONS

Patients diagnosed with lung cancer appear to have symptoms and signs recorded in the EHR that distinguish them from similar matched patients in ambulatory care, often 6 months or more before diagnosis. These findings suggest opportunities to improve the diagnostic process for lung cancer.

What causes delays in diagnosing blood cancers? A rapid review of the evidence

OBJECTIVE

We undertook a rapid review of literature relating to the diagnosis of blood cancers, to find out what factors contribute to delays in diagnosis, including symptom recognition, appraisal and help-seeking behaviours.

METHODS

We used rapid review methodology following Tricco et al. to synthesise current literature from two electronic databases. We searched for studies about symptom appraisal help-seeking for all blood cancers published between 2001 and 2021, written in English.

RESULTS

Fifteen studies were included in the review, of which 10 were published in the United Kingdom. We found a number of factors associated with delays in blood cancer diagnosis. These included patient factors such as gender, age and ethnicity, as well as health system factors such as poor communication and seeing a locum clinician in primary care. A narrative synthesis of the evidence produced four types of symptom interpretation by patients: (1) symptoms compatible with normal state of health, (2) event-linked problems, (3) mild or chronic illness and (4) non-specific unwell state. These four interpretations were linked to different help-seeking behaviours. After seeking help, patients often experienced delays due to healthcare professionals' (HCPs') non-serious interpretation of symptoms, misleading blood tests, discontinuity of care and other barriers in the diagnostic pathway.

CONCLUSION

Blood cancers are difficult to diagnose due to non-specific heterogeneous symptoms, and this is reflected in how those symptoms are interpreted by patients and managed by HCPs. It is important to understand how different interpretations affect delays in help-seeking, and what HCPs can do to support timely follow-up for patients.

Factors influencing the timeliness of care for patients with lung cancer in Bangladesh

BACKGROUND

This study explored the factors associated with timeliness of care in the healthcare seeking pathway among patients with lung cancer in Bangladesh.

METHODS

A structured questionnaire was used for data collection from 418 patients with lung cancer through face-to-face interviews in three tertiary care hospitals. Log-rank tests were performed to test differences in the length of intervals between points in healthcare by socioeconomic characteristics and care seeking behaviours of the patients. Cox Proportional Hazard (PH) regression analysis was performed to identify the predictors of the intervals after adjustment for variations in other variables.

RESULTS

A higher education level was associated significantly (p < 0.05) with a shorter interval between first contact with a healthcare provider (HCP) and diagnosis (median 81 days) and initiation of treatment (median 101 days). Higher monthly household income was associated significantly with a shorter time from first contact and diagnosis (median 91 days), onset of symptom and diagnosis (median 99 days), onset of symptom and treatment (median 122 days), and first contact with any HCP to treatment (median 111 days). Consulting with additional HCPs prior to diagnosis was associated significantly with longer intervals from first contact with any HCP and diagnosis (median 127 days), onset of symptom and diagnosis (median 154 days), onset of symptom and treatment (median 205 days), and first contact with any HCP to treatment (median 174 days). Consulting with informal HCPs was associated significantly with a longer time interval from symptom to treatment (median 171 days). Having more than one triggering symptom was associated significantly with a shorter interval between onset of symptoms and first contact with any HCP.

CONCLUSION

The predictors for timeliness of lung cancer care used in this study affected different intervals in the care seeking pathway. Higher education and income predicted shorter intervals whereas consulting informal healthcare providers and multiple providers were associated with longer intervals.

Development and Internal Validation of a Risk Prediction Model to Identify Myeloma Based on Routine Blood Tests: A Case-Control Study

Myeloma is one of the hardest cancers to diagnose in primary care due to its rarity and non-specific symptoms. A rate-limiting step in diagnosing myeloma is the clinician considering myeloma and initiating appropriate investigations. We developed and internally validated a risk prediction model to identify those with a high risk of having undiagnosed myeloma based on results from routine blood tests taken for other reasons. A case-control study, based on 367 myeloma cases and 1488 age- and sex-matched controls, was used to develop a risk prediction model including results from 15 blood tests. The model had excellent discrimination (C-statistic 0.85 (95%CI 0.83, 0.89)) and good calibration (calibration slope 0.87 (95%CI 0.75, 0.90)). At a prevalence of 15 per 100,000 population and a probability threshold of 0.4, approximately 600 patients would need additional reflex testing to detect one case. We showed that it is possible to combine signals and abnormalities from several routine blood test parameters to identify individuals at high-risk of having undiagnosed myeloma who may benefit from additional reflex testing. Further work is needed to explore the full potential of such a strategy, including whether it is clinically useful and cost-effective and how to make it ethically acceptable.

Examining methodology to identify patterns of consulting in primary care for different groups of patients before a diagnosis of cancer: An exemplar applied to oesophagogastric cancer

BACKGROUND

Current methods for estimating the timeliness of cancer diagnosis are not robust because dates of key defining milestones, for example first presentation, are uncertain. This is exacerbated when patients have other conditions (multimorbidity), particularly those that share symptoms with cancer. Methods independent of this uncertainty are needed for accurate estimates of the timeliness of cancer diagnosis, and to understand how multimorbidity impacts the diagnostic process.

METHODS

Participants were diagnosed with oesophagogastric cancer between 2010 and 2019. Controls were matched on year of birth, sex, general practice and multimorbidity burden calculated using the Cambridge Multimorbidity Score. Primary care data (Clinical Practice Research Datalink) was used to explore population-level consultation rates for up to two years before diagnosis across different multimorbidity burdens. Five approaches were compared on the timing of the consultation frequency increase, the inflection point for different multimorbidity burdens, different aggregated time-periods and sample sizes.

RESULTS

We included 15,410 participants, of which 13,328 (86.5 %) had a measurable multimorbidity burden. Our new maximum likelihood estimation method found evidence that the inflection point in consultation frequency varied with multimorbidity burden, from 154 days (95 %CI 131.8-176.2) before diagnosis for patients with no multimorbidity, to 126 days (108.5-143.5) for patients with the greatest multimorbidity burden. Inflection points identified using alternative methods were closer to diagnosis for up to three burden groups. Sample size reduction and changing the aggregation period resulted in inflection points closer to diagnosis, with the smallest change for the maximum likelihood method.

DISCUSSION

Existing methods to identify changes in consultation rates can introduce substantial bias which depends on sample size and aggregation period. The direct maximum likelihood method was less prone to this bias than other methods and offers a robust, population-level alternative for estimating the timeliness of cancer diagnosis.