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Review Article

Vol. 6, Issue 2, 2026 · P1-16

Care Delivery in Gastrointestinal Malignancies: Disparities, Barriers, and Equity-Focused Solutions

Faiza Yasin, MD, MHS,Tendai Kwaramba, MD, MSc-GH,Xiao Wang, MD, MHS,Michael Cecchini, MD

cancer care equitygastrointestinal oncologybarriers to cancer care

Submission received: 2026-06-30 / Accepted: 2026-08-10 / Published: 2026-09-14

CCBY-SA-4.0
Publication: IJCCDhttps://doi.org/10.53876/001c.130060
1

Abstract

Introduction

Gastrointestinal (GI) malignancies account for 26% of global cancer incidence and 35% of cancer-related mortality, with both projected to double by 2050. Advances in screening, diagnostics, and treatment have not reached patients equally. A substantial gap remains between guideline-concordant care and its real-world delivery. It falls disproportionately along racial, socioeconomic, and geographic lines, and is driven largely by unequal access.

Objective

To characterize barriers to equitable GI cancer care delivery and identify scalable, evidence-based interventions to address them.

Findings

Disparities in GI cancer care are present at every step of the care continuum. Colorectal cancer screening rates remain below 65% among eligible US adults, with the widest gaps among Black, Hispanic, uninsured, and rural populations. Racial disparities in treatment receipt persist after adjustment for insurance status across every GI tumor type. These are compounded by care fragmentation, concentration of complex surgery and clinical trials at high-volume academic centers, and an unequally distributed oncology workforce. Financial toxicity, limited English proficiency, and low health literacy add further barriers. Patient navigation, multidisciplinary clinic models, digital health, and community-academic partnerships have demonstrated capacity to narrow these gaps, but implementation remains inconsistent and insufficiently scaled.

Conclusions

Equitable GI cancer care delivery requires coordinated investment in oncology workforce development, standardized social determinants of health screening, insurance coverage expansion, and structural interventions that extend guideline-concordant care to the populations carrying the greatest disease burden.

Take Home Messages

1. Disparities in GI cancer care are present at each step of the cancer care continuum, and persist even after controlling for insurance status, indicating that structural barriers to care extend beyond cost and access.

2. Evidence-based interventions such as patient navigation, multidisciplinary clinics, and virtual tumor boards, reduce disparities and improve outcomes, but implementation remains fragmented and is not yet consistently funded.

3. Closing equity gaps requires coordinated structural interventions including standardized screening for social determinants of health, sustained patient navigation funding, workforce diversification, and decentralized clinical trial access.

4. Workforce-efficient models including community health worker programs, telehealth-enabled tumor boards, and task-sharing approaches adapted to local health system capacity can extend equity-focused interventions to low- and middle-income countries.

Introduction

Gastrointestinal (GI) malignancies are a leading contributor to the global cancer burden, accounting for 26% of global cancer incidence and 35% of cancer-related mortality.1 The lifetime risk of developing and dying from a GI cancer is 8.2% and 6.2%, respectively.2 Colorectal cancer (CRC) is the second leading cause of cancer-related mortality worldwide, followed by gastric cancer and esophageal cancer.2 Global GI cancer incidence and mortality are projected to double by 2050, with a disproportionate burden in low- and middle-income countries (LMICs).2

Despite advances in screening, diagnostics, and treatment, a gap remains between guideline-concordant care and its real-world delivery. This gap is patterned along racial, socioeconomic, and geographic lines, and persists from screening through survivorship. Unequal access and modifiable risk factors drive many of these disparities, which are therefore amenable to intervention.3

This review characterizes barriers to equitable GI cancer care delivery across the care continuum, including disparities in screening, diagnosis, and treatment, disease-specific challenges, care center volume, practice-setting variation, clinical trial access, financial toxicity, and language and health literacy. We identify scalable, equity-focused solutions to address these challenges and consider their translation to resource-limited settings globally.

Screening and early-detection disparities

Colorectal

CRC is the only GI malignancy with widely adopted population-level screening guidelines. The United States (US), Australia, Canada, Japan, and most European countries have established national programs, predominantly using stool-based testing. However, there are disparities in uptake. Although the US Preventive Services Task Force lowered the screening age to 45 years, only 65% of eligible adults in the US are up to date.4 Screening rates are lowest among uninsured individuals, rural residents, and those with lower income.5

In the US, racial and ethnic disparities span the entire CRC care continuum.6 Black individuals have higher CRC incidence and stage-adjusted mortality than non-Hispanic White individuals,3 lower screening rates,6 and are less likely to undergo follow-up colonoscopy after an abnormal stool-based test.7 Hispanic individuals also have lower screening rates compared to non-Hispanic White individuals (56% vs 67%).4 The Black-White CRC incidence gap has narrowed from 22% to 11%,4 however, Black individuals remain 31% more likely to die from CRC, driven primarily by modifiable factors.3 Systems where care does not depend on insurance status or ability to pay, equal-access health systems,8 reduce but do not eliminate racial disparities in CRC screening, indicating that structural barriers extend beyond insurance coverage and cost.

Hepatocellular carcinoma (HCC)

Biannual ultrasound and serum alpha-fetoprotein surveillance is recommended for all individuals at risk for HCC, including patients with cirrhosis or chronic hepatitis B. Many experience structural barriers to surveillance adherence, such as transportation and scheduling challenges, limited specialist access, and lack of insurance.9 These barriers are associated with lower rates of HCC screening, and also decreased overall survival after controlling for sociodemographic factors.10 Higher rates of ED presentation at HCC diagnosis among Black and Hispanic patients reflect the systematic failure of routine surveillance to reach the populations most affected.10

Cancers without established screening

No universal population-level screening recommendations exist for pancreatic, gastroesophageal, and hepatobiliary malignancies in the US and most Western countries, leaving early detection dependent on symptom recognition and clinician index of suspicion. In contrast, countries with a high incidence of upper GI cancers such as Japan, South Korea, and Chile have adopted different endoscopic and radiographic screening programs, which have reduced population-level cancer-related mortality.11,12

Socioeconomic deprivation, measured using composite indices like the Area Deprivation Index that combine income, education, employment, and housing data at the neighborhood level, is consistently associated with later stage at diagnosis across GI cancers,13 a primary determinant of cancer-specific survival.14 Black patients have the lowest likelihood of localized-stage at diagnosis and the highest proportion of distant-stage disease across GI cancers.14

Barriers to diagnosis and treatment

Delays in diagnosis

Where effective screening is unavailable, timely diagnosis depends on symptom recognition. Early symptoms of GI malignancies are non-specific and often initially attributed to benign conditions.15 Emergency department (ED) presentation at diagnosis is common in GI malignancies and is associated with more advanced stage and worse survival.16 ED-based diagnoses are more prevalent among non-Hispanic Black patients and residents of high-poverty areas.17

Barriers operate at patient, clinician, and system levels. Patient-level barriers include work constraints, limited health literacy, and transportation, and are disproportionately prevalent among racial and ethnic minority populations.18 Patients in the most socioeconomically deprived neighborhoods have the lowest likelihood of receiving guideline-concordant cancer care.19 Clinician-level barriers include high-volume workloads and anchoring bias.20 System-level barriers include limited access to diagnostics like endoscopy or specialist consultation, and geographic distance to care.21

Treatment access

Curative-intent GI cancer management requires coordinated multimodal therapy across oncology subspecialties. Diagnosis often requires advanced imaging, repeat biopsies, and multiple specialist visits. These steps can be insurmountable for patients with financial constraints, limited social supports, or those travelling significant distances.19

Privately insured patients are more likely to receive all treatment modalities and have improved overall survival.22 Racial disparities persist even after controlling for insurance status. Black patients wait longer to start treatment and are less likely to receive guideline-concordant surgery, radiation, and systemic therapy.23 Patients in rural areas face the practical impossibility of daily travel for radiation, and local facilities may lack capacity to optimally deliver guideline-concordant care.24

Molecular testing access reflects similar disparities. Next-generation sequencing (NGS) is now recommended to guide treatment selection and determine clinical trial eligibility in most GI cancers, with HCC the principal exception. However, NGS testing rates are lower in Black patients than in White patients (41.8% vs 51.6%, p<0.0001) in real-world cohorts.25 Older and frail patients also experience reduced testing rates, independent of race.26 Because NGS testing is independently associated with clinical trial enrollment, these disparities compound downstream access inequities.25

Disease-specific care delivery challenges

Beyond these cross-cutting barriers, each GI cancer presents distinct care-delivery challenges.

Colorectal cancer

Rectal cancer requires coordinated multimodality therapy. Care fragmentation, or receiving treatment components at different facilities, is associated with decreased survival and treatment delays.27 Black and Hispanic patients are less likely to receive each modality of multimodal therapy including neoadjuvant treatment, compared with non-Hispanic White patients.28 Black patients also have lower rates of sphincter-preserving surgery, even after adjusting for patient and hospital-specific factors.29

Rising early-onset CRC introduces care delivery challenges around reproductive health, financial toxicity, and survivorship.30 Fertility preservation counseling rates are estimated at 15-25%, despite evidence that counseling improves quality of life independent of whether preservation is pursued.31 Dedicated early-onset CRC programs incorporating oncofertility, financial navigation, and psychosocial support, exist only at select academic centers.32

Esophagogastric cancers

Only 40% of patients with resectable gastric cancer in the US receive guideline-concordant perioperative chemotherapy and surgery.33 Non-White race, lack of insurance, and lower educational attainment are independently associated with a lower likelihood of receiving perioperative chemotherapy.34 When patients with gastric cancer receive identical treatments, mortality rates among Black and White patients converge, implicating differential access to care rather than tumor biology as the primary driver of the survival difference.35 For esophageal cancer, Black and Hispanic patients are less likely to receive neoadjuvant therapy, surgical resection, or adjuvant treatment, and have worse overall and cancer-specific survival.36 Black patients, uninsured patients, and those residing in areas with lower educational attainment are most likely to receive no treatment.37

Pancreatic cancer

Disparities in access are particularly consequential for pancreatic cancer given the narrow window for curative-intent treatment.38 Black patients are more likely to present with advanced-stage disease, less likely to undergo surgical resection when eligible, and have higher overall mortality.39 Uninsured and Medicaid-insured patients are less likely to undergo resection and have worse survival than privately insured patients.40 Medicaid expansion was associated with a 67% increase in pancreatic cancer resection rates,41 but income-related disparities persisted even after coverage expansion.42

Hepatobiliary cancers

Biliary tract cancers (BTC) share the challenges of late-stage presentation and absence of established screening. Black patients with cholangiocarcinoma are more likely to present with advanced-stage disease and less likely to undergo surgical resection for localized disease compared to White patients (RR 0.62).43 Lower income and lower educational attainment are associated with worse five-year overall survival across BTCs even after adjusting for disease stage.44

Surgery and care center volume

Care center volume can shape clinical outcomes. The surgical volume to patient outcome relationship is well-established, with the strongest evidence for pancreaticoduodenectomy and esophagectomy.33,45,46 Treatment at a HVC is associated with receipt of standard-of-care therapy and improved survival,47 but HVCs treat fewer patients who are non-White, publicly insured, or lower-income.48

Black patients with GI cancers undergo surgical resection at substantially lower rates than White patients after adjustment for age, stage, and medical comorbidities, with absolute differences in resection rates ranging from 2% to 21% by tumor site.49 Patients in rural areas are less likely to undergo pancreatectomy and have higher one-year mortality than those in metropolitan areas, adjusting for stage at diagnosis and comorbidities.50 Centralizing complex GI cancer care at HVCs may narrow outcome disparities for patients who can reach them, but risks widening access gaps for those who cannot.51

Variation across practice settings

Most patients with cancer in the US are treated at community hospitals and non-academic settings.52 Structural differences in access to multidisciplinary tumor boards, clinical trial infrastructure, and supportive care services contribute to variation in delivery of guideline-concordant care and outcomes.52

Within the US, two-thirds of nonmetropolitan counties have no oncologists,53 and 10% of rural counties have no oncologists within or adjacent, compared with 0% of urban counties.54 Early-career oncologists are half as likely as later-career peers to practice in rural counties or in counties with high rates of cancer mortality, social vulnerability, and uninsurance.54 The oncology workforce is also poorly representative of the patients it serves. Only 3% of practicing oncologists in the US self-identify as Black and 4.7% as Hispanic.55 Greater Black physician representation in a community is independently associated with lower mortality rates among Black patients,56 and race-concordant care improves patient trust and communication.57

Clinical trial access

Clinical trials advance GI cancer treatment, but access is profoundly unequal. In the US, 70% of counties have no active cancer treatment trials.58 One study found that 78 major US cancer trial centers comprise 94% of all US cancer trials and are located in areas with a sociodemographic composition that does not reflect the average US population.59 While most patients receive their cancer treatment in community practices, clinical trial enrollment was only 4.1% at community programs compared to 21.6% at National Cancer Institute (NCI) designated programs.60 Fewer than half of all US counties had a single phase I-III cancer clinical trial between 2008-2022, and rural, lower-income, and lower educational attainment areas were least likely to have any trials.61 In GI cancers specifically, Black and Asian/Pacific Islander patients, and those with public insurance were less likely to participate in trials.62

Financial toxicity

Financial toxicity spans every stage of care. It includes both the objective burden of out-of-pocket expenses and the subjective distress that they generate.63 It is associated with delayed medical visits, treatment non-adherence, and early treatment discontinuation.64 Over 50% of cancer survivors report financial hardship,65 and patients with cancer are more likely to file for bankruptcy, which is associated with higher risk of early mortality.66 Among patients undergoing gastrectomy or pancreatectomy for an upper GI malignancy, nearly half experienced financial toxicity,67 with younger and non-White patients at greatest risk.67

Language barriers and health literacy

Language and health literacy are additional determinants of access to care. More than 25 million people in the US have limited English proficiency (LEP),68 and approximately one-third of adults in the US have limited health literacy, defined as the skills needed to obtain, understand, and process health information to make appropriate health decisions.69 LEP and limited health literacy are each associated with diagnostic delays, lower treatment adherence, and decreased access to supportive care services.70,71 Among adults with LEP, only 31.6% were up to date with CRC screening compared to 56.8% of English-proficient individuals.72 In patients with CRC, lower health literacy is associated with a lower likelihood of receiving chemotherapy,73 suggesting that gaps in patient understanding and ability to navigate complex treatment decisions contribute to undertreatment in this population.

Scalable models to improve equity and outcomes

The most effective interventions are embedded within existing care delivery systems, address structural rather than patient-level barriers, are delivered by a workforce reflecting the communities served, and are sustained through dedicated rather than time-limited funding.

Table 1 summarizes the major barriers to equitable GI cancer care delivery across the continuum and the evidence-based strategies to address them.

Patient navigation

Patient navigation is among the most rigorously evaluated interventions for reducing cancer care disparities. A 2024 systematic review found that 70% of navigation studies reported significant reductions in time to treatment, with the greatest benefit in populations with the highest burden of disparities.74 The evidence is most well established in breast cancer, where navigation programs have led to more timely, guideline-concordant treatment among predominantly Black, Hispanic, and LEP patients at safety-net institutions.75

For CRC, navigation increases screening uptake by 64% in randomized controlled trials (RCTs) and shows up to a 2.5-fold increase in observational studies.76 An RCT in a safety-net setting serving a predominantly minority, uninsured, LEP population demonstrated that patient navigation significantly shortened time to follow-up colonoscopy after an abnormal stool-based screening test, and increased adherence to follow-up testing.77 For pancreatic cancer, the window of optimal response to treatment is narrow and delays can have large impacts on treatment response.38 A single-institution study found that implementation of nurse navigator program reduced time from first provider contact to treatment initiation from 46 to 26 days.78

Financial navigation

Proactive financial screening and navigation are not yet standard practice in most oncology settings. A pilot RCT of patients with upper GI cancers found that a proactive financial navigation model was associated with lower rates of financial hardship and improved quality of life compared with usual care.79 A larger RCT found no significant benefit on financial hardship or quality of life, though this study was predominantly composed of patients with breast and prostate cancer.80 The evidence in GI-specific populations remains limited and should be further explored.

Multidisciplinary clinics

Multidisciplinary clinic (MDC) models concentrate expertise across oncologic subspecialties in a single care encounter, improving diagnostic accuracy, treatment planning efficiency, and guideline-concordance.81 In a large prospective study of patients with GI cancers, MDC review resulted in changes to diagnosis or management in a clinically meaningful proportion of cases, with implications for treatment selection and outcomes.82 MDCs have demonstrated equity-modifying effects in GI cancer. For pancreatic cancer, MDC management eliminated socioeconomic disparities in treatment receipt and survival, and increased the likelihood of patients receiving all recommended treatment modalities, including palliative care evaluation and clinical trial participation.83 For HCC, MDC was associated with a reduction in time to treatment initiation (5.3 vs 2.3 months, P=0.002) and improvement in median overall survival from 4.8 to 13.2 months.84

The MDC model faces scalability challenges, including rural access barriers, inadequate reimbursement, and variability in what constitutes multidisciplinary care across practice settings.

Digital health

Telehealth-enabled virtual MDC tumor boards offer a cost-effective mechanism to extend multidisciplinary expertise to underserved and geographically isolated populations,85 and reduce time to treatment decisions across all cancer disciplines.86

An equity-focused application, the Virtual Equity Hub pilot, linked a comprehensive cancer center, safety-net hospital, and community health centers in a MDC virtual tumor board which also incorporated social determinants of health (SDOH) screening and community-based participatory principles.87 This model was designed to extend specialist expertise while addressing structural barriers to access, and could be adapted to reduce access disparities in GI cancer care.87 A similar model was also piloted in South America using the Project ECHO (Project Extension for Community Healthcare Outcomes) framework and showed feasibility and efficacy in reducing care disparities in resource-limited settings.85

Telehealth adoption without attention to the digital divide risks widening disparities rather than closing them. Video visit utilization is lower among older patients, patients with LEP, Medicaid beneficiaries, and residents of neighborhoods with higher social deprivation indices.88 Realizing the equity potential of telehealth requires addressing the infrastructure gaps that precondition access. Device loan programs, multilingual support, and community-based access points have been proposed to reduce patient-level barriers.89 Digital health tools beyond synchronous video visits, such as remote symptom monitoring and electronic patient-reported outcomes,90 can also extend GI cancer care delivery, but require deliberate design and validation in the populations most likely to benefit.

Partnerships with key stakeholders

Most patients with cancer receive care in community settings, yet the evidence base for equitable care delivery has been generated predominantly at academic and NCI-designated cancer centers. Community-academic partnerships can extend multidisciplinary expertise to community sites, support clinical trial expansion, and build shared navigation infrastructure. The NCI Community Oncology Research Program (NCORP) is a national network of community and minority/underserved sites specifically designed to bring cancer clinical trials and care delivery research directly to patients in their communities. It has demonstrated that high-quality trial accrual is achievable outside academic settings when institutional infrastructure and support are provided.53

Community health workers (CHWs) and patient navigators who share the language, culture, and lived experience of the populations they serve are essential to community-engaged care delivery. A 2024 systematic review and meta-analysis found that CHW-led interventions significantly improved CRC screening uptake in racial and ethnic minority populations, with multicomponent interventions demonstrating the greatest benefit.91 CHWs embedded within community organizations, faith-based institutions, and primary care practices have also demonstrated success in improving follow-up after abnormal screening results and addressing the social determinants that impede access to treatment.92

Table 1: Barriers and Evidence-Based Strategies to Improve Equity in GI Cancer Care Delivery

Care continuum domainKey barriers and disparitiesEvidence-based strategiesEvidence
Screening and early detectionCRC screening rates lowest among Black, Hispanic, uninsured, rural, and low-income adults; LEP further reduces uptake; no organized screening aside from specific higher-risk populations for most GI cancers outside of CRCPatient navigation; community health worker led outreach; mailed stool-based testing with navigated colonoscopy follow up; language-concordant patient education materials4, 5, 6, 72, 74, 76, 77, 91, 92
DiagnosisNonspecific early symptoms and diagnostic delays; emergency department diagnosis more common among Black patients and high-poverty residents; clinician anchoring biasPatient and nurse navigation to shorten time to diagnosis and treatment; multidisciplinary review to expedite workup15, 17, 74, 78, 82
Treatment accessInsurance status a strong determinant; racial disparities persist after insurance adjustment; rural travel burden for multimodal therapy; care fragmentationInsurance coverage expansion; multidisciplinary clinics; patient navigation; decentralized and locally delivered care22, 23, 24, 27, 74, 81
Disease-specificLower NGS and biomarker testing in Black patients; underuse of guideline-concordant multimodal therapyMDC and tumor boards; standardized biomarker testing pathways; virtual (telehealth) tumor boards25, 28, 81, 82, 83, 85
Center volumeVolume-outcome relationship; centralization may widen access gapsBalance centralization with access; community-academic partnerships; navigation with travel and financial support45, 46, 47, 48, 51
Workforce and infrastructureShortage of oncologists in rural and underserved communities; workforce not representative of patients servedLoan forgiveness, rural training pipelines, and community-oriented medical education; recruitment, mentorship, and retention of oncologists from underrepresented backgrounds53, 54, 55
Clinical trial accessMost counties lack active trials; concentration at NCI-designated centers; lower enrollment among Black, Asian/Pacific Islander, and publicly insured patients; underrepresentation of low- and middle-income countriesDecentralized trial designs (remote consent, local laboratory and imaging collection, home-based visits); expand NCORP and community sites; fund trial infrastructure in safety-net settings58, 59, 60, 61, 62
Financial toxicityOut-of-pocket burden and financial distress; treatment non-adherence; bankruptcy and higher mortality; high among younger and non-White surgical patientsProactive financial screening and navigation embedded in oncology care63, 66, 67, 79, 80
Language and health literacyLEP linked to delayed diagnosis and lower screening and adherence; low health literacy associated with undertreatmentProfessional interpretation as a clinical standard; validated multilingual, literacy-appropriate materials; CHW's sharing patients' language and culture70, 71, 72, 73, 91, 92
Digital healthLower video-visit use among older, LEP, Medicaid, and socially deprived populations; risk of widening the digital divideEquity-designed telehealth (device loan programs, multilingual support, community access points); virtual equity hub models; remote symptom monitoring and electronic patient-reported outcomes designed for target populations85, 87, 88, 89, 90

Strategies reflect evidence-based interventions where available and recommended approaches where direct evidence is limited

Abbreviations: CHW = community health worker, CRC = colorectal cancer, LEP = limited English proficiency, MDC = multidisciplinary clinic, NCI = National Cancer Institute, NCORP = NCI Community Oncology Research Program, NGS = next generation sequencing

Policy recommendations and future directions

Translating the evidence reviewed into meaningful improvements in GI cancer care delivery requires coordinated action across health systems, payers, and policymakers. The shortage of oncologists in rural and underserved communities53 will not resolve without structural intervention, including loan forgiveness programs, rural training pipelines, and community-oriented medical education models. A workforce that reflects the patients it serves improves outcomes and trust,56,57 and institutional commitment to actively recruit, mentor, and retain oncologists from underrepresented backgrounds is a measurable equity intervention.

The workforce needs structural supports to connect patients to care. Standardized SDOH screening should be embedded across care settings, with direct linkage to actionable referral pathways such as social work, financial navigation, and transportation support. Sustained, reimbursable funding for navigation programs, rather than grant-dependent support, is another high value structural intervention. Insurance coverage expansion offers a similar population-level lever, as coverage gaps disproportionately affect the populations with the greatest cancer burden. Structural support includes language access. Professional interpretation should be used for all clinical encounters, including informed consent, treatment discussions, and trial enrollment. Patient-facing materials should be developed and validated at appropriate literacy levels in patients' languages.

These gaps also call for rethinking where care and evidence are generated. Clinical trial access must expand beyond academic centers through decentralized trial designs. This includes remote consent and home-based visits to reduce geographic and logistical barriers for patients in rural and underserved communities. Expanding NCORP-affiliated sites and funding trial infrastructure in safety-net settings are concrete policy interventions to address the concentration of trial access at academic centers.58,60,61

Patient advocacy organizations and community members must be active participants in research agenda-setting, program design, and evaluation. Community advisory boards with meaningful representation from populations most affected by GI cancer disparities can improve cultural responsiveness of care delivery programs, build trust, and ensure implementation strategies reflect the realities of the communities served. Research priorities should include trials evaluating scalability and cost-effectiveness of equity-focused interventions, and longitudinal outcomes to assess the population-level impact of care delivery interventions on GI cancer mortality and survival disparities. These data can inform guideline development and influence payer coverage decisions.

Many of these principles extend globally. A key priority is adapting evidence-based interventions to LMIC health systems through investments in workforce-efficient and scalable models of care. These include expanding FIT-based screening programs linked to affordable diagnostic colonoscopy, strengthening early diagnosis through primary care and streamlined referral pathways, and leveraging task-sharing, community health workers, and tele-oncology networks to address specialist shortages. Global oncology research should also promote meaningful inclusion of LMIC populations and post-trial access to effective therapies. International partnerships should support long-term investments in cancer registries, pathology, endoscopy, workforce training, and implementation science to build sustainable cancer care infrastructure.

Translation to low-and middle-income countries

Many of the interventions described above were developed and evaluated in US health systems. Translating them to LMICs requires confronting a distinct set of structural constraints.

Population-level CRC screening programs are largely absent in LMICs, where resources are directed primarily toward infectious diseases and acute care.93 Limited infrastructure and workforce capacity makes large-scale implementation of cancer screening programs difficult.93 While stool-based testing itself is feasible in LMICs, the cost of follow-up colonoscopy for those who test positive has limited program effectiveness.94

LMICs represent 75% of the global population, bear an increasing share of the global cancer burden, but are markedly underrepresented in cancer research.95 They account for less than one-third of oncology RCTs, a gap that is most pronounced in South Asia and sub-Saharan Africa, which account for only 5% and 2% of trial participants, respectively.95,96 Many LMIC-inclusive trials evaluate therapies unavailable to the local population, raising ethical questions about cancer research obligations.97

Diagnostic delays compound these gaps. Patients in LMICs experience a median of 7.4 months from symptom onset to diagnosis and 4.9 months from diagnosis to treatment initiation,98 driven by financial barriers, geographic access, and clinician shortages.98 Oncology workforce shortages are a major driver, with a median of less than 1 (0.09) oncologists per 100,000 in LMICs compared with 1.6 per 100,000 in high-income countries.99 Globally, eight of 93 countries surveyed had no clinical oncologist, and 78% of African countries surveyed had an extreme shortage of oncologists compared to none in Europe or the Americas.100

Some of the models discussed in this review show early signs of translatability to LMICs. The Project ECHO-based virtual tumor board piloted in South America demonstrates that telehealth-enabled MDC models can extend oncology expertise into resource-limited settings.85 Patient navigation and community health worker models are workforce-efficient by design and may be well suited to health systems facing personnel shortages, though dedicated evaluation of these approaches in LMIC settings remains limited and should be a research priority.

Conclusion

GI cancer care delivery is shaped by disparities across socioeconomic, racial, and geographic lines at every step of the care continuum. Evidence-based solutions, including patient navigation, multidisciplinary clinics, telehealth, and academic-community partnerships, exist but implementation is inconsistent and insufficiently scaled. Closing this gap requires sustained investment in workforce development, infrastructure, coverage expansion, and programs that address SDOH.

Conflict(s) of Interest

Faiza Yasin: No conflicts of interest

Xiao Wang: Institutional research funding from Flatiron Health and Biocartis

Tendai Kwaramba: No conflicts of interest

Michael Cecchini: Honoraria for advisory boards from Arcus (11/2024), Cybrexa (6/2025), Parabalis Medicine (5/2025), Bain Capital (10/2025), BeOne (10/2025), DAVA Oncology (10/2025), Incyte (11/2025), Astellas (11/2025), Exelixis (11/2025), Wren Laboratories (12/2025), HiTOP (1/2026), Takeda (1/2026), Avro (2/2026), Abbvie (4/2026), Shasqi (6/2026), Blueprint (6/2026), Genentech (8/2026)

Funding Information

No specific funding was received for this work.

Ethical Statements

This article involved no primary data collection from human participants.

Data Availability Statement

No new data were generated or analyzed in this study.

Declaration of AI Use in Scientific Writing

Not applicable. AI tools were not used to generate scientific content, interpret data, or influence the conclusions of this review.

Author Contributions

Concept and design: FY, MC, TK, XW

Data acquisition: FY, MC, TK, XW

Data analysis and interpretation: FY, MC, TK, XW

Drafting of the manuscript: FY, MC, TK, XW

Critical revision of the manuscript: FY, MC, TK, XW

All authors (FY, MC, TK, XW) approved the final version of the manuscript and agree to be accountable for all aspects of the work, in accordance with the International Committee of Medical Journal Editors criteria.

References

1. Arnold M, Abnet CC, Neale RE, et al. Global burden of 5 major types of gastrointestinal cancer. Gastroenterology. 2020;159:335-349.e15.

2. Wang S, Zheng R, Li J, et al. Global, regional, and national lifetime risks of developing and dying from gastrointestinal cancers in 185 countries: a population-based systematic analysis of GLOBOCAN. Lancet Gastroenterol Hepatol. 2024;9:229-237.

3. May FP, Mehtsun WT, Jemal A, Gupta S. Black-White disparities across the colorectal cancer care continuum in the USA. Nat Rev Gastroenterol Hepatol. 2025;22:603-618.

4. Siegel RL, Wagle NS, Star J, Kratzer TB, Smith RA, Jemal A. Colorectal cancer statistics, 2026. CA Cancer J Clin. 2026;76:e70067.

5. Myers S, Davis ES, Sacks OA, Franks JA, Davids JS, Kenzik KM. Disparities in uptake of the 2021 US Preventive Services Task Force colorectal cancer screening recommendations among adults aged 45 to 49 years. Dis Colon Rectum. 2025;68:1010-1016.

6. May FP, Yang L, Corona E, Glenn BA, Bastani R. Disparities in colorectal cancer screening in the United States before and after implementation of the Affordable Care Act. Clin Gastroenterol Hepatol. 2020;18:1796-1804.e2.

7. Rutter CM, Knudsen AB, Lin JS, Bouskill KE. Black and White differences in colorectal cancer screening and screening outcomes: a narrative review. Cancer Epidemiol Biomarkers Prev. 2021;30:3-12.

8. Wong MS, Hoggatt KJ, Steers WN, et al. Racial/ethnic disparities in mortality across the Veterans Health Administration. Health Equity. 2019;3:99-108.

9. Singal AG, Tiro JA, Murphy CC, et al. Patient-reported barriers are associated with receipt of hepatocellular carcinoma surveillance in a multicenter cohort of patients with cirrhosis. Clin Gastroenterol Hepatol. 2021;19:987-995.e1.

10. Kronenfeld JP, Ryon EL, Goldberg D, et al. Disparities in presentation at time of hepatocellular carcinoma diagnosis: a United States safety-net collaborative study. Ann Surg Oncol. 2021;28:1929-1936.

11. Sun D, Mülder DT, Li Y, et al. The effect of nationwide organized cancer screening programs on gastric cancer mortality: a synthetic control study. Gastroenterology. 2024;166:503-514.

12. Corsi Sotelo Ó, Pizarro Rojas M, Rollán Rodríguez A, et al. Chilean consensus by expert panel using the Delphi technique for primary and secondary prevention of gastric cancer. Gastroenterol Hepatol. 2024;47:845-857.

13. Kim G, Qin J, Hall CB, In H. Association between socioeconomic and insurance status and delayed diagnosis of gastrointestinal cancers. J Surg Res. 2022;279:170-186.

14. Islami F, Baeker Bispo J, Lee H, et al. American Cancer Society's report on the status of cancer disparities in the United States, 2023. CA Cancer J Clin. 2024;74:136-166.

15. Macdonald S, Macleod U, Campbell NC, Weller D, Mitchell E. Systematic review of factors influencing patient and practitioner delay in diagnosis of upper gastrointestinal cancer. Br J Cancer. 2006;94:1272-1280.

16. Kang S, McLeod SL, Walsh C, Grewal K. Patient outcomes associated with cancer diagnosis through the emergency department: a systematic review. Acad Emerg Med. 2023;30:955-962.

17. Thompson CA, Sheridan P, Metwally E, et al. Emergency department involvement in the diagnosis of cancer among older adults: a SEER-Medicare study. JNCI Cancer Spectr. 2024;8.

18. Ramachandran A, Freund KM, Bak SM, Heeren TC, Chen CA, Battaglia TA. Multiple barriers delay care among women with abnormal cancer screening despite patient navigation. J Womens Health (Larchmt). 2015;24:30-36.

19. Fonseca AL, Ahmad R, Amin K, et al. Understanding barriers to guideline-concordant treatment in foregut cancer: from data to solutions. Ann Surg Oncol. 2024;31:6007-6016.

20. Lyratzopoulos G, Vedsted P, Singh H. Understanding missed opportunities for more timely diagnosis of cancer in symptomatic patients after presentation. Br J Cancer. 2015;112(Suppl 1):S84-S91.

21. Bhatia S, Landier W, Paskett ED, et al. Rural-urban disparities in cancer outcomes: opportunities for future research. J Natl Cancer Inst. 2022;114:940-952.

22. Salehi O, Vega EA, Lathan C, et al. Race, age, gender, and insurance status: a comparative analysis of access to and quality of gastrointestinal cancer care. J Gastrointest Surg. 2021;25:2152-2162.

23. Nogueira LM, May FP, Yabroff KR, Siegel RL. Racial disparities in receipt of guideline-concordant care for early-onset colorectal cancer in the United States. J Clin Oncol. 2023;42:1368-1377.

24. Pisu M, Ivankova NV, Morgan J, et al. Providers' and survivors' perspectives on affordability challenges for gastrointestinal cancer treatment in two low socioeconomic status states of the Southern United States. Cancer Med. 2025;14:e71105.

25. Bruno DS, Hess LM, Li X, Su EW, Patel M. Disparities in biomarker testing and clinical trial enrollment among patients with lung, breast, or colorectal cancers in the United States. JCO Precis Oncol. 2022:e2100427.

26. Wang X, Rothen J, Huang S, et al. Adoption of broad genomic profiling in patients with cancer. JAMA Oncol. 2025;11:666-668.

27. Metzger DA, Harris H, Tan I, et al. Impact of care fragmentation on survival in locally advanced rectal cancer: identifying vulnerable populations. Surgery. 2025;184:109471.

28. Lee DY, Teng A, Pedersen RC, et al. Racial and socioeconomic treatment disparities in adolescents and young adults with stage II-III rectal cancer. Ann Surg Oncol. 2017;24:311-318.

29. Arsoniadis EG, Fan Y, Jarosek S, et al. Decreased use of sphincter-preserving procedures among African Americans with rectal cancer. Ann Surg Oncol. 2018;25:720-728.

30. Jayakrishnan T, Ng K. Early-onset gastrointestinal cancers: a review. JAMA. 2025;334:1373-1385.

31. Jiang Q, Hua H. Fertility in young-onset colorectal patients with cancer: a review. Oncologist. 2024;29:e1237-e1245.

32. Ng K, Eng C, Wildgoose P, et al. A blueprint for creating an early-onset colorectal cancer program based on experiences from 7 clinical centers across the United States and Canada. Oncologist. 2025;30.

33. Zhao B, Blair SL, Katz MHG, Lowy AM, Kelly KJ. Adherence with operative standards in the treatment of gastric cancer in the United States. Gastric Cancer. 2020;23:550-560.

34. Ikoma N, Cormier JN, Feig B, et al. Racial disparities in preoperative chemotherapy use in gastric cancer patients in the United States: analysis of the National Cancer Data Base, 2006-2014. Cancer. 2018;124:998-1007.

35. Wu SP, Keshavjee SH, Yoon SS, Kwon S. Survival outcomes and patterns of care for stage II or III resected gastric cancer by race and ethnicity. JAMA Netw Open. 2023;6:e2349026.

36. Tran A, Shiraga S. Gender, racial, and socioeconomic disparities in the management and survival of patients with locally advanced esophageal cancer: a SEER-based study. Surg Endosc. 2025;39:5263-5268.

37. Schlottmann F, Gaber C, Strassle PD, Herbella FAM, Molena D, Patti MG. Disparities in esophageal cancer: less treatment, less surgical resection, and poorer survival in disadvantaged patients. Dis Esophagus. 2020;33.

38. Eaglehouse YL, Darmon S, Park AB, Shriver CD, Zhu K. Time between pancreatic cancer diagnosis and treatment initiation and survival in the U.S. Military Health System. Pancreatology. 2025;25:234-240.

39. Gallegos JM, Taylor A, Vardell V, Silberstein PT. Socioeconomic factors associated with a late-stage pancreatic cancer diagnosis: an analysis of the National Cancer Database. Cureus. 2023;15:e35857.

40. Rosario Lora D, Herrera Mercedes S, Post Z, Blogowski W. Racial and socioeconomic disparities in surgical management and outcomes in pancreatic adenocarcinoma: a single-center experience in the last 13 years. BMC Cancer. 2025;25:1218.

41. Loehrer AP, Chang DC, Hutter MM, et al. Health insurance expansion and treatment of pancreatic cancer: does increased access lead to improved care? J Am Coll Surg. 2015;221:1015-1022.

42. Hohenleitner JT, Gawdi R, Standring OJ, et al. Medicaid expansion timing and pancreatic cancer resection rates and survival. JAMA Surg. 2026;161(5):460-467.

43. Munir MM, Woldesenbet S, Endo Y, et al. Racial segregation among patients with cholangiocarcinoma—impact on diagnosis, treatment, and outcomes. Ann Surg Oncol. 2023;30:4238-4246.

44. Sahyoun L, Chen K, Tsay C, Chen G, Protiva P. Clinical and socioeconomic determinants of survival in biliary tract adenocarcinomas. World J Gastrointest Oncol. 2024;16:1374-1383.

45. Acher AW, Weber SM, Pawlik TM. Does the volume-outcome association in pancreas cancer surgery justify regionalization of care? A review of current controversies. Ann Surg Oncol. 2022;29:1257-1268.

46. Wang Q, Mine S, Nasu M, Fukunaga T, Nojiri S, Zhang CD. Association of hospital volume and long-term survival after esophagectomy: a systematic review and meta-analysis. Front Surg. 2023;10:1161938.

47. Sutton TL, Beneville B, Johnson AJ, et al. Socioeconomic and geographic disparities in the referral and treatment of pancreatic cancer at high-volume centers. JAMA Surg. 2023;158:284-291.

48. Williamson CG, Ebrahimian S, Sakowitz S, et al. Race, insurance, and sex-based disparities in access to high-volume centers for pancreatectomy. Ann Surg Oncol. 2023;30:3002-3010.

49. Bliton JN, Parides M, Muscarella P, Papalezova KT, In H. Understanding racial disparities in gastrointestinal cancer outcomes: lack of surgery contributes to lower survival in African American patients. Cancer Epidemiol Biomarkers Prev. 2021;30:529-538.

50. Brooks GA, Tomaino MR, Ramkumar N, et al. Association of rurality, socioeconomic status, and race with pancreatic cancer surgical treatment and survival. J Natl Cancer Inst. 2023;115:1171-1178.

51. Baum P, Lenzi J, Diers J, et al. Risk-adjusted mortality rates as a quality proxy outperform volume in surgical oncology-a new perspective on hospital centralization using national population-based data. J Clin Oncol. 2022;40:1041-1050.

52. Yousefi Nooraie R, Noyes K. Editorial: Challenges for the provision of guideline-recommended cancer care to rural and medically underserved communities. Front Health Serv. 2022;2:1113916.

53. Unger JM, McAneny BL, Osarogiagbon RU. Cancer in rural America: improving access to clinical trials and quality of oncologic care. CA Cancer J Clin. 2025;75:341-361.

54. Kirkwood MK, Balogh EP, Accordino MK, et al. Where have we been and where are we going? The state of the hematology and medical oncologist workforce in America. JCO Oncol Pract. 2025;21:1775-1785.

55. 2022 Snapshot: State of the oncology workforce in America. JCO Oncol Pract. 2022;18:396.

56. Snyder JE, Upton RD, Hassett TC, Lee H, Nouri Z, Dill M. Black representation in the primary care physician workforce and its association with population life expectancy and mortality rates in the US. JAMA Netw Open. 2023;6:e236687.

57. Patel MI, Lopez AM, Blackstock W, et al. Cancer disparities and health equity: a policy statement from the American Society of Clinical Oncology. J Clin Oncol. 2020;38:3439-3448.

58. Kirkwood MK, Schenkel C, Hinshaw DC, et al. State of geographic access to cancer treatment trials in the United States: are studies located where patients live? JCO Oncol Pract. 2025;21:427-437.

59. Lee H, Bates AS, Callier S, et al. Analysis and optimization of equitable US cancer clinical trial center access by travel time. JAMA Oncol. 2024;10:652-657.

60. Unger JM, Shulman LN, Facktor MA, Nelson H, Fleury ME. National estimates of the participation of patients with cancer in clinical research studies based on Commission on Cancer accreditation data. J Clin Oncol. 2024;42:2139-2148.

61. Gu N, Elsisi Z, Suk R, Li M. Geographic disparity in the distribution of cancer clinical trials in the United States and the associated factors. J Manag Care Spec Pharm. 2024;30:376-385.

62. Abbas A, Diaz A, Obeng-Gyasi S, et al. Disparity in clinical trial participation among patients with gastrointestinal cancer. J Am Coll Surg. 2022;234:589-598.

63. Carrera PM, Curigliano G, Santini D, et al. ESMO expert consensus statements on the screening and management of financial toxicity in patients with cancer. ESMO Open. 2024;9.

64. Smith GL, Lopez-Olivo MA, Advani PG, et al. Financial burdens of cancer treatment: a systematic review of risk factors and outcomes. J Natl Compr Canc Netw. 2019;17:1184-1192.

65. Dhir A, Stensland KD, Herrel LA, Sekar RR. Individual- and community-level risk factors of cancer-related financial hardship among cancer survivors. JAMA Netw Open. 2024;7:e2429286.

66. Yabroff KR, Han X, Song W, et al. Association of medical financial hardship and mortality among cancer survivors in the United States. J Natl Cancer Inst. 2022;114:863-870.

67. Hirata Y, To C, Lyu H, et al. Prevalence of and factors associated with financial toxicity after pancreatectomy and gastrectomy. Ann Surg Oncol. 2024;31:4361-4370.

68. Bureau UC. American Community Survey, Language Use. 2023.

69. Santana S, Brach C, Harris L, et al. Updating health literacy for Healthy People 2030: defining its importance for a new decade in public health. J Public Health Manag Pract. 2021;27:S258-S264.

70. Kim HS, Irwin C, Ulag AS, Devarakonda S. Cancer care disparities among patients with limited English proficiency: challenges and strategies for equity. BJC Reports. 2025;3:80.

71. Holden CE, Wheelwright S, Harle A, Wagland R. The role of health literacy in cancer care: a mixed studies systematic review. PLoS One. 2021;16:e0259815.

72. Bayly JE, Trivedi S, Mukamal KJ, Davis RB, Schonberg MA. Limited English proficiency and reported receipt of colorectal cancer screening among adults 45-75 in 2019 and 2021. Prev Med Rep. 2024;39:102638.

73. Busch EL, Martin C, DeWalt DA, Sandler RS. Functional health literacy, chemotherapy decisions, and outcomes among a colorectal cancer cohort. Cancer Control. 2015;22:95-101.

74. Chen M, Wu VS, Falk D, Cheatham C, Cullen J, Hoehn R. Patient navigation in cancer treatment: a systematic review. Curr Oncol Rep. 2024;26:504-537.

75. Battaglia TA, Freund KM, Haas JS, et al. Translating research into practice: protocol for a community-engaged, stepped wedge randomized trial to reduce disparities in breast cancer treatment through a regional patient navigation collaborative. Contemp Clin Trials. 2020;93:106007.

76. Nelson HD, Cantor A, Wagner J, et al. Effectiveness of patient navigation to increase cancer screening in populations adversely affected by health disparities: a meta-analysis. J Gen Intern Med. 2020;35:3026-3035.

77. Raich PC, Whitley EM, Thorland W, Valverde P, Fairclough D. Patient navigation improves cancer diagnostic resolution: an individually randomized clinical trial in an underserved population. Cancer Epidemiol Biomarkers Prev. 2012;21:1629-1638.

78. Enomoto LM, Fenstermaker J, Desnoyers RJ, et al. Oncology navigation decreases time to treatment in patients with pancreatic malignancy. Ann Surg Oncol. 2019;26:1512-1518.

79. Bell-Brown A, Hopkins T, Watabayashi K, et al. A proactive financial navigation intervention in patients with newly diagnosed gastric and gastroesophageal junction adenocarcinoma. Support Care Cancer. 2024;32:189.

80. Henrikson NB, Anderson ML, Dickerson J, et al. Financial navigation for people newly diagnosed with cancer: primary outcomes from the Cancer Financial Experience randomized trial. JCO Oncol Pract. 2025;21:1817-1829.

81. Specchia ML, Frisicale EM, Carini E, et al. The impact of tumor board on cancer care: evidence from an umbrella review. BMC Health Serv Res. 2020;20:73.

82. Meguid C, Schulick RD, Schefter TE, et al. The multidisciplinary approach to GI cancer results in change of diagnosis and management of patients. Multidisciplinary care impacts diagnosis and management of patients. Ann Surg Oncol. 2016;23:3986-3990.

83. Hoehn RS, Zenati M, Rieser CJ, et al. Pancreatic cancer multidisciplinary clinic is associated with improved treatment and elimination of socioeconomic disparities. Ann Surg Oncol. 2024;31:1906-1915.

84. Yopp AC, Mansour JC, Beg MS, et al. Establishment of a multidisciplinary hepatocellular carcinoma clinic is associated with improved clinical outcome. Ann Surg Oncol. 2014;21:1287-1295.

85. Esteso F, Tissera NS, O'Connor JM, et al. Implementation of a virtual multicenter gastrointestinal tumor board to reduce cancer disparities in Argentina. World J Clin Oncol. 2022;13:423-428.

86. AkbariRad M, Keshvardoost S, Shariatmadari H, Firoozi A, Moodi Ghalibaf A. Virtual tumor boards: an approach to equity in cancer care. Health Promot Perspect. 2023;13:166-167.

87. Irwin KE, Ko N, Walsh EP, et al. Developing a Virtual Equity Hub: adapting the tumor board model for equity in cancer care. Oncologist. 2022;27:518-524.

88. Rowe Ferrara M, Intinarelli-Shuler G, Chapman SA. Video and telephone telehealth use and web-based patient portal activation among rural-dwelling patients: retrospective medical record review and policy implications. J Med Internet Res. 2025;27:e67226.

89. Lyles CR, Sharma AE, Fields JD, Getachew Y, Sarkar U, Zephyrin L. Centering health equity in telemedicine. Ann Fam Med. 2022;20:362-367.

90. Chan A, Ng DQ, Arcos D, et al. Electronic patient-reported outcome-driven symptom management by oncology pharmacists in a majority-minority population: an implementation study. JCO Oncol Pract. 2024;20:1744-1754.

91. Rana T, Chan DNS, Nguyen KT, Choi KC, So WKW. Effectiveness of community health worker-led interventions in enhancing colorectal cancer screening uptake in racial and ethnic minority populations: a systematic review and meta-analysis. Cancer Nurs. 2024;47:368-376.

92. Sabatino SA, Lawrence B, Elder R, et al. Effectiveness of interventions to increase screening for breast, cervical, and colorectal cancers: nine updated systematic reviews for the guide to community preventive services. Am J Prev Med. 2012;43:97-118.

93. Abreu Lopez BA, Pinto-Colmenarez R, Caliwag FMC, et al. Colorectal cancer screening and management in low- and middle-income countries and high-income countries: a narrative review. Cureus. 2024;16:e70933.

94. Martinez ME, Schmeler KM, Lajous M, Newman LA. Cancer screening in low- and middle-income countries. Am Soc Clin Oncol Educ Book. 2024;44:e431272.

95. Rubagumya F, Hopman WM, Gyawali B, et al. Participation of lower and upper middle-income countries in clinical trials led by high-income countries. JAMA Netw Open. 2022;5:e2227252.

96. Barragan-Carrillo R, Asirwa FC, Dienstmann R, Pendhakar D, Ruiz-Garcia E. Global oncology: tackling disparities and promoting innovations in low- and middle-income countries. Am Soc Clin Oncol Educ Book. 2025;45:e473930.

97. Millum J. International clinical research and justice in the Belmont Report. Perspect Biol Med. 2020;63:374-388.

98. Agbedinu K, Antwi S, Aduse-Poku L, et al. A scoping review on barriers to cancer diagnosis and care in low- and middle-income countries. Cancer Epidemiol Biomarkers Prev. 2025;34:1066-1073.

99. Trapani D, Murthy SS, Boniol M, et al. Distribution of the workforce involved in cancer care: a systematic review of the literature. ESMO Open. 2021;6:100292.

100. Mathew A. Global survey of clinical oncology workforce. J Glob Oncol. 2018:1-12.