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Review Article
163 (
2
); 221-230
doi:
10.25259/IJMR_1911_2025

Impact of diabetes mellitus in cancer

Department of Radiation Oncology, St. John’s Medical College and Hospital, Bengaluru, Karnataka, India

For correspondence: Dr Hadrian Noel Alexander F., Department of Radiation Oncology, St.John’s Medical College and Hospital, Bengaluru 560 034, Karnataka, India e-mail: dr.hadrian27@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Alexander F HN, Muzumder S, Johnson S, Srikantia N, Udayashankara AH, R J. Impact of diabetes mellitus in cancer. Indian J Med Res. 2026;163:221-30. doi: 10.25259/IJMR_1911_2025.

Abstract

Diabetes mellitus and cancer are growing global health concerns with a rising prevalence and substantial associated mortality. The study aims to find impact of diabetes mellitus in cancer. A narrative review was conducted by analysing evidence from various sources, including meta-analyses, systematic reviews, retrospective studies, database analyses, and cohort studies. The review explored the complex interplay between Diabetes Mellitus and cancer, like cancer incidence, oncology outcome i.e., acute and late toxicities, treatment compliance, overall survival (OS), and quality of life (QoL). Diabetes mellitus increases the risk of developing cancer by 10%. Diabetic patients had higher infection rates [2.6%–52%, odds ratio (OR) 1.38–1.57], increased haematologic toxicity (13%–65.7%, P=0.004), and greater hospital admissions (17.2%–74.5%, OR 2.1, P< 0.001). They received significantly lower cisplatin doses (18%–33% reduction), experienced more surgical delays [adjusted OR 1.16, 95% confidence interval (CI) 1.05–1.27], higher risk of flap failure (RR=1.83, 95% CI 1.18–2.85, P=0.007) and were less likely to undergo breast reconstruction (adjusted OR 0.48–0.54, 95% CI 0.24–1.00). Diabetes mellitus decreases local control by 10-20%, increases mortality by 27-98%, and decreases OS by 18-50% across various cancers. It increases late toxicity and negatively impacts QOL with a 1.3–2.7 times higher risk of grade ≥2 genitourinary and gastrointestinal toxicity in prostate cancer, a twofold increase in grade ≥3 radiation pneumonitis in lung cancer, and a 50% higher incidence of severe peripheral neuropathy in breast cancer, leading to delayed recovery and long-term morbidity. In patients receiving cancer directed therapy, diabetes mellitus increases acute and late toxicities, decreased local control and overall survival, and have poor quality of life.

Keywords

Cancer
Diabetes mellitus
Quality of life
Survival
Treatment compliance
Toxicities

The global prevalence of diabetes mellitus was 9.3 % (463 million people), and it is projected to rise to 10.9% (700 million) by 2045, highlighting a growing health challenge worldwide.1 Approximately 8–18% of these patients have cancer2 and their association is recognized for over 100 years.3 Several epidemiological studies4 have found that patients with diabetes mellitus have an increased incidence of various types of cancer, including liver5, pancreatic6, stomach7, colorectal8, kidney9, bladder10, breast11, and endometrial cancers.12 A comprehensive meta-analysis revealed a 10% increase in the risk of developing cancer.13 Moreover, diabetes complicates cancer-directed therapy, particularly chemotherapy and radiation therapy, leading to poor wound healing, increased infection risk, and challenges in managing blood sugar levels during treatment.14 Together diabetes mellitus and cancer can significantly impact oncological outcomes.15

The impact of diabetes on cancer patients remains an underexplored area, and this review aims to provide a deeper understanding of the impacts of diabetes and the issues of managing diabetes. The primary objective of this review was to assess the impact of diabetes mellitus in patients receiving cancer-directed therapy, focusing on acute toxicities, treatment compliance, survival, late effects and quality of life (QoL). The secondary objective was to review the management of patients with diabetes receiving cancer-directed therapy.

Methods

Literature search strategy

A comprehensive literature search was conducted using PubMed, Google Scholar, and the Cochrane Library to identify published studies on the association between cancer and diabetes. Medical Subject Headings (MeSH) terms were used to guide the search, including “diabetes,” “cancer,” “toxicities,” “infections,” “treatment compliance,” “cancer mortality,” “survival,” “local control,” “treatment delay,” “quality of life (QoL),” “treatment outcomes,” and “cancer-directed therapy.” Articles were selected based on abstracts, and relevant references were further explored to identify additional studies related to the topic. Additional literature searches were conducted as new aspects of diabetes impact were identified, such as the management of diabetes during cancer therapy and its associated challenges. All searches were conducted between November 2024 and January 2025.

Study selection

We applied the following inclusion criteria to each study in consideration for the narrative review: randomized controlled trials (RCT), subset or pooled analysis of RCT, systematic reviews (SR) and/or meta-analyses (MA), population databases (PDB) such as National Cancer Databases (NCDB) and cancer registries, or retrospective cohort studies addressing the relationship between cancer and diabetes. All titles and abstracts were screened by the first author. Full texts of eligible articles were assessed for eligibility against the inclusion criteria.

Results and Discussion

Acute toxicities and treatment compliance to CDT

CDT in diabetic patients can potentially lead to increased acute toxicities which significantly impacts treatment compliance, outcomes and overall prognosis ( Table I14,16-20,22,23,27). In head and neck cancer patients undergoing chemoradiation, patients with diabetes mellitus experienced higher rates of infection, hematologic toxicity, mucositis, weight loss and treatment related mortality patients.16 Diabetic patients particularly those on insulin therapy had a higher rate of hospital admissions compared to non-diabetics. Nearly 75% of diabetic patients required enteral feeding during the course of therapy due to infections and poor glycaemic control.14 Increased hospitalization and infection rates were observed in diabetics receiving chemotherapy, often resulting in treatment delays.17 Postoperative complications, including infections, cardiac events and renal failure rates were notably higher in diabetics, negatively affecting overall surgical outcomes.18 Tomasz et al19 found an increased incidence of hospital admissions for chemotherapy related toxicity, infections in carcinoma breast patients on adjuvant chemotherapy.19 Systematic review and meta-analysis by Caputo et al20 found that diabetes mellitus in patients undergoing major HNC surgery is associated increased perioperative surgical complications.

Table I. Impact of diabetes on acute toxicities and treatment compliance in patients with cancer
Author, yr Study type Sample size Cancer site/treatment Impact of diabetes
Raikundalia et al18, 2016 Population-based inpatient registry analysis

Non-DM → 31,075

DM → 4029

HNC undergoing surgery DM patients experienced significantly higher rates of postoperative infections (2.6 vs 2.1%, P=0.025), cardiac events (9 vs. 4.3%, P< .001), pulmonary edema/failure (6.6 vs. 5.7%, P=0.023), acute renal failure (3.3 vs. 1.5%, P< 0.001), and urinary tract infections (2.8 vs. 2.1%, P=0.005).
Srokowski et al19, 2009 Surveillance, epidemiology, and end results-medicare database

Non-DM → 56,367

DM → 14,414

Breast cancer undergoing chemotherapy DM was associated with increased odds of being hospitalized for any chemotherapy toxicity (OR, 1.38; 95% CI, 1.23 to 1.56), for infection or fever (OR, 1.43; 95% CI, 1.2 to 1.7), for neutropenia (OR, 1.22; 95% CI, 1.03 to 1.45), for anemia (OR, 1.24; 95% CI, 1.05 to 1.47), and for any cause (OR, 1.32; 95% CI, 1.19 to 1.46). Patients with diabetes had higher all-cause mortality (HR), 1.35; 95% CI, 1.31 to 1.39).
Caputo et al20, 2020 Systematic review and meta-analysis

Non-DM → 5964

DM → 1066

HNC undergoing Surgery DM was associated with increased rates of flap failure (risk ratio [RR]=1.83 95% CI, 1.18-2.85; P=0.007) and local complications (RR=1.87 95% CI, 1.24-2.80; P< 0.00001).

Barone et al22,

2010

Systematic review and meta-analysis 20 cohort studies Cancer patients undergoing Surgery Preexisting DM was associated with increased odds of postoperative mortality across all cancer types (OR=1.85 95% CI 1.40–2.45).
Kuo et al16, 2020 Retrospective study

Non-DM → 472

DM → 84

HNC receiving CCRT DM patients experienced significantly higher infection rates (Adjuvant CCRT: 52 vs. 30.5%, P=0.042; Primary CCRT: 45.8 vs. 22.9%, P<0.001), hematologic toxicity (65.7 vs. 39.3%, P=0.004), treatment-related deaths (10.2 vs. 3.5%, P=0.051); and a greater weight loss (-6.17 ± 9.27% vs. -4.49±6.84, P=0.078). DM patients received lower doses of cisplatin (adjuvant CCRT: 175.30±84.03 vs. 214.88±68.25, P=0.014; primary CCRT: 142.84±79.49 vs. 187.83 ±76.19, P< 0.001)
Mellor et al14, 2024 Retrospective study

Non-DM → 253

DM → 29

HNC receiving CCRT Higher proportion of DM patients required hospital admission (17.2 Vs 4.0%, P = 0.003) and majority (74.5%) required enteral feeding.
Mailliez et al17, 2023 Retrospective study

Non-DM → 490

DM → 119

CUP, GI and GU cancers receiving Chemotherapy Significantly higher occurrence of AEs G3/4 in DM (OR of 1.57 [1.02-2.42], p = .04). More frequent G3/4 AEs were infection (26%), haematological disorders (13%), endocrine disorders (13%) and deterioration of the general condition (13%). Higher hospital admissions in DM (OR: 2.1 [1.40-3.15], P = .0003).
Lawrenson et al23, 2023 Retrospective study

Non-DM → 22651

DM → 2906

Breast cancer patients undergoing surgery DM patients were more likely to have their surgery delayed (adjusted OR of 1.16, 95% CI 1.05-1.27) and less likely to have reconstruction after mastectomy compared to the non-DM group-adjusted OR 0.54 (95% CI 0.35-0.84) for stage I cancer, 0.50 (95% CI 0.34-0.75) for stage II and 0.48 (95% CI 0.24-1.00) for stage III cancer.
Bekele et al27, 2024 Retrospective cohort analysis

Non-DM → 2939

DM → 765

Breast cancer patients undergoing adjuvant therapy Diabetic women were less likely to utilize radiotherapy (OR, 0.67; 95% CI, 0.53-0.86), receive chemotherapy (OR, 0.67; 95% CI, 0.48-0.93), complete chemotherapy (OR, 0.71; 95% CI, 0.50-0.99).

DM, diabetes mellitus; CCRT, concurrent chemoradiation; HNC, head and neck cancers; CUP, carcinoma of unknown primary; GI, gastrointestinal; GU, genitourinary; AE, adverse events; OR, odds ratio; HR, hazard ratio; RR, relative risk; CI, confidence interval

Kuo et al16, in a retrospective analysis of head and neck cancer patients receiving chemoradiation, found that diabetic patients received significantly lower cisplatin doses compared to non-diabetics (P=0.014). A lower cumulative dose has been associated with decreased survival, as shown in the analysis by Bhattacharjee et al21. Diabetic cancer patients face higher surgical risks, with a ∼50% increased likelihood of mortality post-surgery.22 In breast cancer (BC) patients, diabetes is linked to a lower likelihood of undergoing surgery (adjusted OR 1.16, 95% CI 1.05–1.27) and a decreased chance of breast reconstruction after mastectomy in stage I-III BC.23 Among HNC patients undergoing surgery, diabetes is associated with higher rates of flap failure20 and prolonged hospital stays due to postoperative complications.18 This delay can extend the overall treatment time, which is critical in locally advanced HNC, where adjuvant treatment is required. An extension beyond 11 wk has been linked to reduced five-year locoregional control.24

Completing radiation therapy without interruptions is crucial for achieving optimal local control. Treatment breaks exceeding two days have been associated with a fourfold increased risk of poorer local control and disease-free survival.25 Curative radiotherapy for head and neck cancer often results in severe mucositis, dysphagia, odynophagia, and significant weight loss, with nearly 75% of patients requiring short-term enteral feeding.26 In diabetic patients, grade 3-4 toxicities are also more frequent than in non-diabetics, increasing the risk of treatment-related side effects. These complications can compromise treatment completion and negatively impact overall outcomes.14 Compared to non-diabetic women, diabetic women are less likely to initiate radiation therapy within 90 days after definitive surgery for carcinoma breast which affects treatment compliance; however, there is no significant difference in the utilization or completion of radiotherapy.27 The delay in initiation may be attributed to delayed healing and the management of diabetes related complications. Patients with diabetes mellitus undergoing surgery for gastric carcinoma have shown an increased susceptibility to postoperative complications, including anastomotic leakage and gastrointestinal dysfunction. These complications not only prolong recovery time but may also delay or impact the initiation and compliance with adjuvant therapies such as radiation therapy and chemotherapy.28

Cancer survival and mortality

Studies have shown that diabetes is associated with a 10% increase in cancer-related mortality,29 highlighting its significant impact on survival outcomes ( Table II14,30-36,38-41,43,46-48). A meta-analysis by Barone et al30 involving 23 studies found that diabetes was linked to an increased mortality across all cancer types. Subgroup analyses revealed a higher mortality risk in endometrial, breast, and colorectal cancers.30 In carcinoma cervix, studies have indicated that diabetes is independently associated with poor OS and recurrence-free survival (RFS).31,32 Even in early-stage cervical cancer patients who underwent radical hysterectomy with pelvic lymphadenectomy, diabetes significantly impacted long-term RFS.33 Similarly, a meta-analysis by McVeicker34 on endometrial cancer patients concluded that diabetes is associated with poorer cancer-specific survival and OS. Comparable findings were observed in colorectal cancer, where a meta-analysis demonstrated significantly shorter OS in diabetic patients.35 Multivariate analysis by Taussky et al36 revealed that prostate cancer patients with diabetes mellitus had worse OS compared to non-diabetic patients. Diabetes was also linked to a significantly reduced 5-year OS (78% vs. 61%; P=0.004) in patients with squamous cell carcinoma (SCC).37 In a retrospective analysis by Alshihere et al38 on head and neck squamous cell carcinoma (HNSCC) patients, non-diabetics demonstrated a notably higher median OS, with a survival benefit of approximately two years compared to diabetic patients.38 Similar trends of worsened survival were reported in a meta-analysis by Xu et al39 on oral and oropharyngeal cancer patients. Notably, diabetes had a significant impact on survival even in early-stage cancers (stage I and II).40

Table II. Impact of diabetes on survival and mortality in patients with cancer
Author, yr Study type Sample size Cancer site/treatment Impact of diabetes
Barone et al30, 2008 Systematic review and meta-analysis 23 cohort studies 14,990 cancer patients with pre-existing diabetes

Diabetes was associated with an increased mortality HR of 1.41 (95% CI, 1.28-1.55) compared with normoglycemic individuals across all cancer types.

Subgroup analyses by type of cancer showed increased risk for cancers of the endometrium (HR, 1.76; 95% CI, 1.34-2.31), breast (HR, 1.61; 95% CI, 1.46-1.78), and colorectum (HR, 1.32; 95% CI, 1.24-1.41).

Chen et al31, 2017 Systematic review and meta-analysis 13 cohort studies 11,091 cervical cancer patients DM was related to poorer OS (HR=1.69, 95% CI: 1.38-2.05, P< 0.001) and poorer RFS (HR=1.98, 95% CI: 1.47-2.66, P< 0.001)
Mcvicker et al34, 2022 Systematic review and meta-analysis 31 cohort studies 55,475 endometrial cancer patients Worse OS in DM patients compared to Non DM patients (n=24 studies, HR 1.42, 95% CI 1.31-1.54, I2=46%)
Mao et al47, 2015 Systematic review and meta-analysis 29 articles 19818 pancreatic carcinoma patients DM was associated with poor survival in patients with resectable disease (HR: 1.37; 95% CI: 1.15–1.63). HR (95% CI) was 1.52 (1.20–1.93) for patients with new-onset DM (≤2 yr of DM duration) and 1.22 (0.83–1.80) for those with longstanding DM (>2 yr).

Zhu et al35,

2017

Meta-analysis 36 cohort studies 2,299,012 colorectal cancer patients Compared to non-DM, patients with DM will have a 5-yr shorter survival in colorectal, colon and rectal cancer, with a 18%, 19% and 16% decreased in OS, respectively
Wei Xu et al39, 2024 Meta-analysis 10 cohort studies 21,871 patients with oral and oropharyngeal cancer DM patients were associated with a poor OS (HR 1.69, 95% CI 1.29-2.22, P<0.001; I2=69%). Patients aged ≥52 yr have a stronger associated between DM and OS (HR 2.08 vs. 1.34, P=0.03).
Hank et al46,2020 Database analysis

Non-DM → 385

DM → 277

662 pancreatic carcinoma patients Median OS was worse in DM patients (18 vs. 34 months; P<0.001). DM was associated with larger tumours (30 vs. 26 mm; p=0.041), higher rates of lymph-node involvement (69 vs. 59%; P=0.031) and perineural invasion (88 vs. 82%; P=0.026)
Luo et al41, 2016 Database analysis

Non-DM → 2,208

DM → 276

2484 women with lung cancer DM had significantly increased risk of overall mortality (HR=1.27, 95% CI: 1.07–1.50).
Romero et al32, 2019 Explorative study

Non-DM → 118

DM → 159

277 Cervical cancer patients OS was lower (70.6 vs. 80%) in patients with higher glycaemic level (>130 mg/dl) but not being statistically significant (p=0.32).
Jiamset et al33, 2016 Retrospective analysis

Non-DM → 401

DM → 42

443 Cervical cancer patients DM was associated with a worse RFS (hazard ratio, 11.15; 95% CI, 2.00 to 62.08, P=0.022) after 5 years. The statistically significant independent prognosis factors for OS were DM (HR, 6.53; 95% CI, 1.95 to 21.78; P=0.008), age (HR, 5.39; 95% CI, 1.77 to 16.42; P=0.009) and node status (HR, 11.77; 95% CI, 3.45 to 40.13; P=0.001)
Taussky et al36, 2018 Institutional database analysis

Non-DM → 2441

DM → 382

2823 carcinoma prostate patients On multivariate analysis, DM had worser OS than non-diabetics (HR 1.5, 95% CI 1.08-2.06, P=0.01)
Alshehri et al38, 2014 Retrospective analysis

Non-DM → 577

DM → 166

743 HNC patients DM patients had worse median OS compared to non-DM patients (5.7 vs. 2.5 yr; P<0.019)
Wu et al40,2010 Retrospective cohort study

Non-DM → 301

DM → 71

372 patients with oral cancer 6-yr OS was significantly lesser in diabetics (56.8 vs. 68.7%; HR 1.99, log-rank P=0.008). Similarly, 6-yr RFS was also significantly lesser in diabetics (34.3 vs. 57.5%; HR 2.96, log-rank P< 0.0001).
Author, yr Study type Sample size Cancer site/treatment Impact of diabetes
Karlin et al43, 2019 Institutional cancer registry analysis

Non-DM → 92

DM → 92

184 patients with gastric or oesophageal cancer Three-year OS was 46% with DM vs. 52% without DM [HR 95% CI: 1.95 (1.14–3.34)]; P=0.02).
Mellor et al14,2024 Retrospective study

Non-DM → 253

DM → 29

282 HNC receiving CCRT Non-significant trend towards poorer survival with DM, with a median OS of 86 months in the DM group (95% CI 15, not reached) vs. not reached (95% CI 127, not reached, P=0.08) in the Non-DM group.
Sheppard et al48, 2020 Retrospective cohort analysis

Non-DM → 215

DM → 67

282 carcinoma breast patients Preexisting DM significantly increased the risk of death among breast cancer women (HR, 1.87; 95% CI, 1.12 to 3.13). 5-yr survival was significantly lesser in DM group (59.8 vs. 78.7%; P>0.01).

OS, overall survival; RFS, recurrence free survival

A study by Luo et al41 examining the impact of pre-existing diabetes on lung cancer prognosis in women found that diabetes increased overall mortality risk. According to a retrospective analysis by Worrell et al42, diabetic patients were less likely to achieve a pathological complete response after neoadjuvant therapy for esophageal carcinoma. However, diabetes was not identified as an independent factor influencing pathological complete response. But significant reductions in OS were also observed in gastric and esophageal (GE) cancers with diabetes.43 These findings align with the study by Yancik et al44 on breast cancer patients, which demonstrated that diabetes was associated with an increased risk of death. Diabetes mellitusis linked to a 25–41% increased risk of cancer-related mortality.2 A prospective U.S. cohort study found that cancer mortality was 7% higher in men and 11% higher in women with diabetes mellitus.45 Among head and neck cancer patients undergoing chemoradiation, diabetic individuals had a higher mortality rate compared to non-diabetics (10.2% vs. 3.5%; P=0.051).14 In pancreatic cancer, diabetes mellitus emerged as an independent predictor of poor post-resection survival, with median survival significantly lower in diabetics (18 vs. 34 months).46 The negative impact of diabetes mellitus on survival was particularly evident in patients with resectable disease.47 A Canadian analysis by Sheppard et al48 on breast cancer patients further reinforced these findings. The study demonstrated that pre-existing diabetes significantly increased the risk of death, with a hazard ratio of 1.87 (95% CI, 1.12–3.13) after adjusting for age, diagnosis period, body mass index, other comorbidities, and cancer stage. Diabetic patients were less likely to achieve pathological complete response after neoadjuvant therapy in oesophageal carcinoma but not an independent factor associated with pathological complete response as per the retrospective analysis by Worrell et al.42

Late toxicity/quality of life

Studies have investigated the impact of diabetes mellitus on late radiation-induced toxicities in various organs, including the lungs and rectum ( Table III49-53,55,56). In prostate cancer patients undergoing androgen deprivation therapy and radiation therapy, those with diabetes mellitus exhibited a higher incidence of late genitourinary toxicity49 and significant deceleration of resolution of radiation induced proctitis.50 Additionally, there was a trend toward an increased incidence late grade 3/4 gastrointestinal toxicity and an earlier onset of genitourinary complications.51 Kong et al52 reported a 44% incidence of grade 3 radiation pneumonitis in lung cancer patients receiving external beam radiation therapy, with poor glycaemic control (HbA1c > 6.15% or fasting glucose > 121 mg/dL) associated with increased risks.

Table III. Impact of diabetes on late toxicity and quality of life in patients with cancer
Author, yr Study type Sample size Cancer site/treatment Impact of diabetes
Gottschalk et al49, 2013 Institutional analysis

Non-DM → 424

DM → 102

626 Carcinoma prostate patients DM were associated with ≥ grade 2 or greater GU toxicity, and transurethral resection of the prostate and DM were associated with ≥ grade 3 GU toxicity. The study also demonstrated a greater risk of ≥ late grade 2 (RR 1.36, P=0.10) and ≥ grade 3 GU toxicity (RR 2.74, P=0.04) with DM.
Herold et al51, 1999 Retrospective analysis

Non-DM → 823

DM → 121

944 Carcinoma prostate patients Diabetics experienced significantly more late grade 2 GI toxicity (28 vs. 17%, p=0.011) and late grade 2 GU toxicity (14 vs. 6%, P=0.001). A trend toward increased late grade 3 and 4 GI complications in diabetics
Alashkham et al50, 2017 Prospective longitudinal study

Non-DM → 616

DM → 100

716 carcinoma prostate patient DM patients had significantly greater rate of high grades (≥ 2) of proctitis (P<0.001)
Kong et al52, 2019 Retrospective analysis

Non-DM → 87

DM → 36

123 Carcinoma lung patients Incidence of grade ≥3 RP was 44.4% in patients with DM and 20.7% in patients without DM. Higher HbA1c (>6.15%) and fasting glucose levels (>121 mg/dL) were associated with an increased incidence of grade ≥3 RP (41.5 vs. 12.7% and 35.5 vs. 17.2%, respectively).
Barrio et al56, 2015 Retrospective analysis

Non-DM → 86

DM → 43

129 patients with breast cancer DM patients experienced more PN (74.4 vs. 58.4%; P=0.016) and with higher severity (grade 2-3: 51.2 vs. 27.7%; P=0.014). DM was the only independent predictor for delayed recovery (HR, 0.16; 95% CI, 0.05-0.55; P=0.003).
Hershey et al53, 2012 Database analysis

Non-DM → 585

DM → 76

661 lymphoma/cancer patients Diabetes had significantly lowered the levels of physical function (P<0.001) in cancer patients compared to non-diabetics.
Pettit et al55, 2017 Systematic review and meta-analysis 8 articles 6433 cancer patients Increased risk of poor glycaemic control with significant differences between baseline and 1 year (P<0.001) and baseline and 2 yr (P=0.002) was observed if studies of surgical treatment for gastric cancer are excluded.

RP, radiation pneumonitis; PN, peripheral neuropathy

Diabetes mellitus significantly reduced physical function, impacting the quality of life (QoL) in cancer patients undergoing therapy.53 It has also been identified as an independent predictor of delayed recovery. Furthermore, a cancer diagnosis and the side effects of cancer-directed therapy can negatively affect diabetic self-care, particularly affecting the ability to eat and drink, engage in physical exercise and monitoring blood sugar levels.54 Evidence suggests that adherence to hypoglycaemic medications among patients with diabetes mellitus also decreases after a cancer diagnosis.55 In a retrospective analysis by Barrio et al56 on breast cancer patients receiving weekly paclitaxel, diabetic individuals experienced more severe and prolonged peripheral neuropathy. Even after two years, 68.7% of patients reported a significant impact on their QoL.

Impact of cancer and cancer-directed therapy(CDT) on diabetes mellitus

Several targeted and immunotherapy drugs, unlike chemotherapy agents, can cause hyperglycemia, which limits their use in cancer management.57 Immune checkpoint inhibitors (ICI) are known, albeit rarely, to cause new-onset diabetes, often through irreversible β-cell impairment, and this can be potentially life-threatening.58 Corticosteroids, commonly used to prevent chemotherapy-induced nausea and vomiting, can also unmask underlying diabetes or worsen pre-existing diabetes by increasing glucose production, reducing insulin sensitivity, and inhibiting insulin secretion by pancreatic beta cells.59 CDT can also increase the risk of developing a new diagnosis of diabetes. In an analysis by Kim et al60, nearly 11% of patients without a prior history of diabetes who underwent chemotherapy were later diagnosed with the condition. Over 70% of these patients had received short-course steroids.60 Furthermore, glucocorticoids, the primary treatment for radiation pneumonitis, can negatively impact blood glucose control.61 The risk of developing new-onset diabetes mellitus in patients treated with glucocorticoids has an odds ratio ranging from 1.5 to 2.5, and diabetic patients often require adjustments in insulin dosage.59 Additionally, a study by Denise et al54 highlighted three major challenges faced by diabetic patients undergoing chemotherapy after at least eight weeks of treatment: difficulties with self-care, general health issues, and balancing diabetes management with cancer treatment.

Management of diabetes mellitus in cancer patients

Diabetic patients with cancer require close monitoring of blood glucose levels throughout cancer treatment, as maintaining optimal glucose control can improve overall health outcomes. Anticipating steroid-induced hyperglycaemia and using insulin prophylactically is the most effective treatment strategy.59 Patients on oral hypoglycaemic drugs may need a short course of insulin therapy, while those already on insulin may require dose adjustments during treatment. Treatment-related complications, particularly in advanced cancer, can reduce oral intake, increasing the risk of hypoglycaemia from insulin and oral hypoglycaemic agents. In such cases, less aggressive glucose-lowering strategies may be considered. Diabetes management includes dietary modifications, exercise, and the use of oral hypoglycaemic drugs with or without insulin.57 Although CDT and steroid use predominantly cause hyperglycaemia, the risk of hypoglycaemia should not be overlooked. Poor oral intake and nausea/vomiting caused by CDT increase the likelihood of hypoglycaemia. To mitigate these risks, maintaining blood glucose levels within the range of 108-225 mg/dL is recommended.62

Managing diabetes in cancer patients presents a significant challenge for both oncologists and endocrinologists. All patients should undergo baseline blood glucose or HbA1c screening before starting cancer therapy. Effective communication and collaboration among healthcare providers and patients are essential to optimizing care and improving treatment outcomes.63 For ICI-induced type 1 diabetes mellitus, lifelong insulin therapy remains the mainstay of management.64 In patients with advanced or end-stage cancer and poor performance status, diabetes management guidelines recommend relaxing glycaemic targets, with the primary goal being avoidance of symptomatic hyperglycaemia and hypoglycaemia rather than strict control.65

Impact of oral hypoglycaemic agents (OHA) on diabetes Mellitus

Oral hypoglycaemic agents (OHA) are widely used in diabetes management,66 either alone or in combination with insulin.67 Antidiabetic medications may influence cancer risk both directly, by affecting tumour cell metabolism, and indirectly, by altering underlying risk factors of malignancy.68 Among OHAs, metformin has been most extensively studied, with several reports suggesting potential anticancer properties and an association with reduced risk of colorectal and pancreatic cancers.69,70 No significant increase in cancer risk has been observed with sulfonylureas.71 In contrast, insulin therapy has raised concerns, with early observational studies and subsequent meta-analyses indicating a possible association with increased cancer incidence,72 particularly colorectal cancer, in a dose-dependent manner.73 These findings highlight the complex and evolving relationship between antidiabetic drugs and cancer, underscoring the need for further well-designed studies to clarify causality.

The strength of this review lies in its broad coverage of multiple clinically relevant outcomes, including toxicity, quality of life, compliance, survival, and the interplay between diabetes and cancer. By consolidating evidence from numerous studies, it provides a comprehensive overview that enables readers to access a large body of data in a simplified manner. However, certain limitations need to be acknowledged. First, this review was not conducted as a systematic review with a predefined methodology and statistical support, which restricts the rigor of evidence synthesis. Second, the availability of data across different cancers and treatment settings is not uniform, and published studies specifically addressing the interaction between diabetes and cancer remain limited. Another limitation is that potential confounders such as age, gender, and coexisting medical conditions may not have been consistently accounted for in the available studies, which could influence the reported association between diabetes and cancer outcomes. These gaps highlight the need for further focused and standardized research in this area.

Diabetes is often overlooked in cancer patients undergoing any form of CDT. The existing evidence on its impact is limited, with most studies being retrospective cohort analyses. Through our extensive literature review, we found that diabetic patients receiving CDT experience increased acute and late toxicities. Diabetes also negatively affects compliance with CDT, compromises local control, and increases the risk of recurrence, ultimately leading to reduced overall survival. These factors collectively impact the quality of life of cancer patients, highlighting the need for better management and tailored interventions for this population.

Author contributions

HNA: Study design, conceptualization, literature search, data acquisition, and data analysis, manuscript writing; SM: Supervision, served as the guarantor; SJ: Study design, literature search, data acquisition, and data analysis, manuscript writing, review; NS: Study design, manuscript writing; AVU: Study design, manuscript writing, review; JR: Study design, manuscript writing. All authors have read and approved final printed version of the manuscript to be published.

Financial support and sponsorship

None.

Conflicts of Interest

None.

Use of Artificial Intelligence (AI)-Assisted Technology for manuscript preparation

The authors confirm that there was no use of AI-assisted technology for assisting in the writing of the manuscript and no images were manipulated using AI.

References

  1. , , , , , , et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract.. 2019;157:107843.
    [CrossRef] [PubMed] [Google Scholar]
  2. , . The relationship between diabetes mellitus and cancers and its underlying mechanisms. Front Endocrinol (Lausanne).. 2022;13:800995.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  3. , . The relation between the cancer and diabetes death–rates. J Hyg (Lond).. 1914;14:83-118.
    [CrossRef] [PubMed] [Google Scholar]
  4. , , . Diabetes mellitus and cancer risk: Review of the epidemiological evidence. Cancer Sci.. 2013;104:9-14.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  5. , , , , , , et al. Increased risk of hepatocellular carcinoma in patients with diabetes mellitus: A systematic review and meta‐analysis of cohort studies. Int J Cancer.. 2012;130:1639-48.
    [CrossRef] [PubMed] [Google Scholar]
  6. , , , , , , et al. Diabetes mellitus and risk of pancreatic cancer: A meta–analysis of cohort studies. Eur J Cancer.. 2011;47:1928-37.
    [CrossRef] [PubMed] [Google Scholar]
  7. , , , , . Diabetes mellitus and risk of gastric cancer: A systematic review and meta–analysis of observational studies. Eur J Gastroenterol Hepatol.. 2011;23:1127-35.
    [CrossRef] [PubMed] [Google Scholar]
  8. , , , , , . Diabetes mellitus and incidence and mortality of colorectal cancer: A systematic review and meta–analysis of cohort studies. Eur J Epidemiol.. 2011;26:863-76.
    [CrossRef] [PubMed] [Google Scholar]
  9. , . Diabetes mellitus and incidence of kidney cancer: A meta–analysis of cohort studies. Diabetologia.. 2011;54:1013-8.
    [CrossRef] [PubMed] [Google Scholar]
  10. , , , . Diabetes mellitus and risk of bladder cancer: A meta–analysis. Diabetologia.. 2006;49:2819-23.
    [CrossRef] [PubMed] [Google Scholar]
  11. , , . Diabetes mellitus and risk of breast cancer: A meta‐analysis. Intl Cancer.. 2007;121:856-62.
    [Google Scholar]
  12. , , , . Diabetes mellitus and risk of endometrial cancer: A meta–analysis. Diabetologia.. 2007;50:1365-74.
    [CrossRef] [PubMed] [Google Scholar]
  13. , , , , . Type 2 diabetes and cancer: Umbrella review of meta–analyses of observational studies. BMJ.. 2015;350:g7607.
    [CrossRef] [PubMed] [Google Scholar]
  14. , , , , , , et al. Acute diabetes–related complications in patients receiving chemoradiotherapy for head and neck cancer. Curr Oncol.. 2024;31:828-3.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  15. , . Therapy insight: Influence of type 2 diabetes on the development, treatment and outcomes of cancer. Nat Clin Pract Oncol.. 2005;2:48-53.
    [CrossRef] [PubMed] [Google Scholar]
  16. , , . Impact of diabetes mellitus on head and neck cancer patients undergoing concurrent chemoradiotherapy. Sci Rep.. 2020;10:7702.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  17. , , , , , , et al. Diabetes is associated with high risk of severe adverse events during chemotherapy for cancer patients: A single‐center study. Int J Cancer.. 2023;152:408-16.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  18. , , , , , , et al. Impact of diabetes mellitus on head and neck cancer patients undergoing surgery. Otolaryngol Head Neck Surg.. 2016;154:294-9.
    [CrossRef] [PubMed] [Google Scholar]
  19. , , , . Impact of diabetes mellitus on complications and outcomes of adjuvant chemotherapy in older patients with breast cancer. J Clin Oncol.. 2009;27:2170-6.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  20. , , , , , . Diabetes mellitus in major head and neck cancer surgery: Systematic review and meta‐analysis. Head Neck.. 2020;42:3031-40.
    [CrossRef] [PubMed] [Google Scholar]
  21. , , , , , , et al. Optimal cumulative cisplatin dose for radio–sensitization in locally advanced head and neck cancer. JCO.. 2020;38:e18553.
    [Google Scholar]
  22. , , , , , , et al. Postoperative mortality in cancer patients with preexisting diabetes. Diabetes Care.. 2010;33:931-9.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  23. , , , , , , et al. Impact of diabetes on surgery and radiotherapy for breast cancer. Breast Cancer Res Treat.. 2023;199:305-14.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  24. , , , , , , et al. Randomized trial addressing risk features and time factors of surgery plus radiotherapy in advanced head–and–neck cancer. Int J Radiat Oncol Biol Phys.. 2001;51:571-8.
    [CrossRef] [PubMed] [Google Scholar]
  25. , , , . Compliance to radiation therapy of head and neck cancer patients and impact on treatment outcome. Clin Transl Oncol.. 2016;18:677-84.
    [CrossRef] [PubMed] [Google Scholar]
  26. . Enteral nutrition in head and neck cancer patients treated with intensity–modulated radiotherapy at a United Kingdom cancer centre. Clin Nutr ESPEN.. 2015;10:e196.
    [CrossRef] [PubMed] [Google Scholar]
  27. , , , , , . Preexisting diabetes and breast cancer treatment among low–income women. JAMA Netw Open.. 2024;7:e249548.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  28. , , , , , , et al. The impact of diabetes mellitus on short and long term outcomes in patients with gastric cancer following radical surgery: A retrospective cohort study with propensity score matching. BMC Cancer.. 2024;24:1461.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  29. , , , , , , et al. Glycemic control and cancer outcomes association of medical oncology in oncologic patients with diabetes: An Italian (AIOM), Italian association of medical diabetologists (AMD), Italian society of diabetology (SID), Italian society of endocrinology (SIE), Italian society of pharmacology (SIF) multidisciplinary critical view. J Endocrinol Invest.. 2024;47:2915-28.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  30. , , , , , , et al. Long–term all–cause mortality in cancer patients with preexisting diabetes mellitus: A systematic review and meta–analysis. JAMA.. 2008;300:2754-64.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  31. , , , . The association between diabetes/hyperglycemia and the prognosis of cervical cancer patients: A systematic review and meta–analysis. Medicine (Baltimore).. 2017;96:e7981.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  32. , , , , , , , et al. Survival of patients with cervical cancer and diabetes: An exploratory study. JCO.. 2019;37:e17008.
    [CrossRef] [Google Scholar]
  33. , . Impact of diabetes mellitus on oncological outcomes after radical hysterectomy for early stage cervical cancer. J Gynecol Oncol.. 2016;27:e28.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  34. , , , , , , et al. Survival outcomes in endometrial cancer patients according to diabetes: A systematic review and meta–analysis. BMC Cancer.. 2022;22:427.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  35. , , , , , . The relationship between diabetes and colorectal cancer prognosis: A meta–analysis based on the cohort studies. PLoS One.. 2017;12:e0176068.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  36. , , , , , , et al. Impact of diabetes and metformin use on prostate cancer outcome of patients treated with radiation therapy: Results from a large institutional database. Can J Urol.. 2018;25:9509-15.
    [PubMed] [Google Scholar]
  37. , , , , , , et al. Survival and glycemic control in patients with co–existing squamous cell carcinoma and diabetes mellitus. Future Sci OA.. 2021;7:FSO683.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  38. , , , . Head and neck squamous cell carcinoma (HNSCC), diabetes mellitus (DM), and metformin. JCO.. 2014;32:e17040.
    [CrossRef] [Google Scholar]
  39. , , . Impact of diabetes on the prognosis of patients with oral and oropharyngeal cancer: A meta‐analysis. J Diabetes Investig.. 2024;15:1140-5.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  40. , , , , , . Impact of diabetes mellitus on the prognosis of patients with oral squamous cell carcinoma: A retrospective cohort study. Ann Surg Oncol.. 2010;17:2175-83.
    [CrossRef] [PubMed] [Google Scholar]
  41. , , , , . Pre–existing diabetes and lung cancer prognosis. Br J Cancer.. 2016;115:76-9.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  42. , , , , , , et al. Impact of diabetes on pathologic response to multimodality therapy for esophageal cancer. Ann Thorac Surg.. 2024;117:190-6.
    [CrossRef] [PubMed] [Google Scholar]
  43. , , , , . Glycemic control and survival of patients with coexisting diabetes mellitus and gastric or esophageal cancer. Future Sci OA.. 2019;5:FSO397.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  44. , , , , , . Effect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA.. 2001;285:885-92.
    [CrossRef] [PubMed] [Google Scholar]
  45. , , , , . Diabetes and cause–specific mortality in a prospective cohort of one million U.S. adults. Diabetes Care.. 2012;35:1835-44.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  46. , , , , , , et al. Diabetes mellitus is associated with unfavorable pathologic features, increased postoperative mortality, and worse long–term survival in resected pancreatic cancer. Pancreatology.. 2020;20:125-31.
    [CrossRef] [PubMed] [Google Scholar]
  47. , , , , , , et al. Effect of diabetes mellitus on survival in patients with pancreatic cancer: A systematic review and meta–analysis. Sci Rep.. 2015;5:17102.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  48. , , , . Influence of preexisting diabetes on survival after a breast cancer diagnosis in first nations women in Ontario, Canada. JCO Glob Oncol.. 2020;6:99-107.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  49. , . Toxicity after external beam radiotherapy for prostate cancer: An analysis of late morbidity in men with diabetes mellitus. Urology.. 2013;81:1196-201.
    [CrossRef] [PubMed] [Google Scholar]
  50. , , , . What is the impact of diabetes mellitus on radiation induced acute proctitis after radical radiotherapy for adenocarcinoma prostate? A prospective longitudinal study. Clin Transl Radiat Oncol.. 2017;14:59-63.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  51. , , . Diabetes mellitus: A predictor for late radiation morbidity. Int J Radiat Oncol Biol Phys.. 1999;43:475-9.
    [CrossRef] [PubMed] [Google Scholar]
  52. , , , , , , et al. Diabetes mellitus is a predictive factor for radiation pneumonitis after thoracic radiotherapy in patients with lung cancer. Cancer Manag Res.. 2019;11:7103-10.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  53. , , , , . Diabetes and cancer: Impact on health–related quality of life. Oncol Nurs Forum.. 2012;39:449-57.
    [CrossRef] [PubMed] [Google Scholar]
  54. , , , . Perceived impact of cancer treatment on diabetes self–management. Diabetes Educ.. 2012;38:779-90.
    [CrossRef] [PubMed] [Google Scholar]
  55. , , , , . Glycaemic control in people with type 2 diabetes mellitus during and after cancer treatment: A systematic review and meta–analysis. PLoS One.. 2017;12:e0176941.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  56. , , , , , , et al. Delayed recovery and increased severity of Paclitaxel–induced peripheral neuropathy in patients with diabetes. J Natl Compr Canc Netw.. 2015;13:417-23.
    [CrossRef] [PubMed] [Google Scholar]
  57. , , , . Diabetes and cancer: Risk, challenges, management and outcomes. Cancers (Basel).. 2021;13:5735.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  58. , , , , , , et al. Recent advances in immune checkpoint inhibitor–induced type 1 diabetes mellitus. Int Immunopharmacol.. 2023;122:110414.
    [CrossRef] [PubMed] [Google Scholar]
  59. , . Glucocorticoid–induced hyperglycemia. Endocr Pract.. 2009;15:469-74.
    [CrossRef] [PubMed] [Google Scholar]
  60. , , . Cancer patients with undiagnosed and poorly managed diabetes mellitus. JCO.. 2017;35:e18232.
    [CrossRef] [Google Scholar]
  61. , , , , , , et al. Effects of diabetes on the development of radiation pneumonitis. Respir Res.. 2021;22:160.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  62. , , . The Joint British diabetes societies (JBDS) for inpatient care. Management of hyperglycaemia and steroid (glucocorticoid) therapy: A guideline from the Joint British diabetes societies (JBDS) for inpatient care group. Diabet Med.. 2018;35:1011-7.
    [CrossRef] [PubMed] [Google Scholar]
  63. , , , , , , et al. Diabetes management in cancer patients an Italian association of medical oncology, Italian association of medical diabetologists, Italian society of diabetology, Italian society of endocrinology and Italian society of pharmacology multidisciplinary consensus position paper. ESMO Open.. 2023;8:102062.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  64. , . Management of endocrine immune–related adverse events of immune checkpoint inhibitors: An updated review. Endocr Connect.. 2020;9:R207-28.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  65. , , , , . Palliative management of type 2 diabetes mellitus in patients with advanced cancer. Aust J Gen Pract.. 2025;54:534-9.
    [CrossRef] [PubMed] [Google Scholar]
  66. , , , , . Stratified medicine for the use of antidiabetic medication in treatment of type II diabetes and cancer: Where do we go from here? . J Intern Med. 2015;277:235-47.
    [CrossRef] [PubMed] [Google Scholar]
  67. , , , , , , et al. 2019 Update to: management of hyperglycemia in type 2 diabetes, 2018 a consensus report by the American diabetes association (ADA) and the European association for the study of diabetes (EASD) Diabetes Care.. 2020;43:487-93.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  68. . Diabetes, Antidiabetic medications and cancer risk in type 2 diabetes: Focus on SGLT–2 inhibitors. Int J Mol Sci.. 2021;22:1680.
    [CrossRef] [PubMed] [PubMed Central] [Google Scholar]
  69. , , . The influence of glucose–lowering therapies on cancer risk in type 2 diabetes. Diabetologia.. 2009;52:1766-77.
    [CrossRef] [PubMed] [Google Scholar]
  70. , , , , . Use of antidiabetic agents and the risk of pancreatic cancer: A case–control analysis. Am J Gastroenterol.. 2012;107:620-6.
    [CrossRef] [PubMed] [Google Scholar]
  71. , , , , , , et al. Cancer risk of sulfonylureas in patients with type 2 diabetes mellitus: A systematic review. J Diabetes.. 2017;9:482-94.
    [CrossRef] [PubMed] [Google Scholar]
  72. , , , , , , et al. Use of insulin and insulin analogs and risk of cancer — Systematic review and meta–analysis of observational studies. CDS.. 2013;8:333-48.
    [Google Scholar]
  73. , , , , . Glucose‐lowering with exogenous insulin monotherapy in type 2 diabetes: Dose association with all‐cause mortality, cardiovascular events and cancer. Diabetes Obesity Metabolism.. 2015;17:350-62.
    [CrossRef] [PubMed] [Google Scholar]
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