Clinicopathological Profile of Malignant Tumors at a Tertiary Center in Iraq: A Five-Year Analysis
Abstract
Introduction: Cancer incidence and mortality are increasing worldwide, disproportionately affecting low- and middle-income countries due to limited healthcare access. This study aims to analyze the prevalence and clinicopathological characteristics of cancers diagnosed at a tertiary care center, offering crucial data to inform regional cancer control efforts.
Methods: This retrospective study was conducted at a single tertiary center, analyzing histopathological reports from January 2020 to January 2025. Data were collected from digital and physical archives by a trained team, including only confirmed malignant diagnoses. Variables extracted included patient demographics, cancer types, tumor characteristics, and procedure details. Data integrity was ensured through double-entry and expert review. Statistical analysis using SPSS 27.0 summarized categorical variables as frequencies, percentages and continuous variables as means or medians.
Results: A total of 9,375 cases were analyzed (median age 48 years), with females comprising 75.74% (7,101 cases). The age-standardized incidence rate was 82.20 per 100,000. Head and neck cancers accounted for 2,903 cases (30.97%), primarily thyroid (2,208 cases), followed by thoracic malignant tumors with 2,556 cases (27.26%). Invasive ductal carcinoma was most frequent cancer type (2,392 cases, 25.5%). Larger tumors correlated significantly with positive margins and lymph node involvement (p < 0.05).
Conclusion: The study highlights a unique cancer profile, with younger age at diagnosis and higher rates of head, neck, and thyroid cancers. These findings underscore the need for targeted screening and prevention strategies adapted to regional healthcare systems.
Introduction
Cancer remains one of the foremost causes of morbidity and mortality globally, representing a growing public health challenge of increasing magnitude and complexity. According to the International Agency for Research on Cancer, an estimated 20 million new cancer cases and 9.7 million cancer-related deaths were recorded worldwide in 2022 [1,2]. These figures underscore the profound global burden of cancer, with approximately one in five individuals developing the disease during their lifetime. Notably, one in nine men and one in twelve women are estimated to die from cancer [3].
Projections indicate that by 2070, the global incidence of cancer will surpass 34 million new cases annually, with lower-income countries experiencing a disproportionate impact marked by an anticipated 400% increase in cancer incidence over the next five decades [4]. Among the malignancies expected to contribute most significantly to this rise are breast, lung, and colorectal cancers. Current epidemiological models forecast that colorectal cancer cases will increase from 1.9 million in 2020 to 3.2 million by 2040, while breast cancer incidence is projected to reach a similar level by 2050, rising from 2.26 million cases in 2020 [5,6].
Substantial disparities in cancer burden are evident across countries with different income levels and health system capacities. In high-income nations, rising incidence rates of breast and thyroid cancers have been partially attributed to improved access to healthcare services and widespread implementation of early detection and screening programs [7]. Conversely, low- and middle-income countries tend to report higher incidence rates of cancers associated with infectious etiologies, such as cervical and liver cancers. These regions also face significantly higher cancer mortality rates, largely due to limited access to preventive services, early diagnosis, and effective treatment options [8,9]. Furthermore, marked differences in mortality-to-incidence ratios are observed across human development index categories. Data from Globocan 2020 indicate that mortality-to-incidence ratios are nearly twice as high in low- human development index countries compared to very high- human development index countries, 0.75 versus 0.36 for men, and 0.69 versus 0.30 for women [10].
Given the magnitude of the global cancer burden and the critical role of accurate epidemiological data in informing cancer control strategies, institution-level studies are essential. The current study aims to evaluate the prevalence and clinicopathological characteristics of cancers diagnosed via histopathological examination at a tertiary care center. By analyzing cases over a five-year period, this study seeks to provide insights into the local cancer profile, and identify the most frequently diagnosed cancer types. All referenced data sources have been verified for eligibility [11].
Methods
Study Design and Setting
This retrospective study was conducted at Smart Health Tower, Iraq. All histopathological reports issued between January 2020 and January 2025, were considered for inclusion.
Data Collection
Data were retrieved from both the digital and physical archives of the pathology department. A team of more than ten trained individuals participated in the collection process to ensure completeness and accuracy. Only reports that provided complete documentation of the required parameters were included in the analysis.
Inclusion and Exclusion Criteria
All histopathological reports confirming a malignant diagnosis and issued within the specified time frame were included in the study. Reports were excluded if they lacked a definitive diagnosis of cancer, were incomplete, or were duplicates.
Variables and Data Extraction
The following variables were extracted from each eligible report: patient age at diagnosis, sex, nationality, anatomical location of the lesion, cancer type, definitive diagnostic approach (histology, cytology, or immunohistochemistry), resection margin status (free or involved), tumor size in millimeters, and lymph node involvement (present or absent). All variables were systematically documented in a structured database for analysis.
Data Quality and Management
To maintain data integrity, a double-entry process was implemented. Two independent researchers entered the data separately, and any discrepancies between entries were resolved by reviewing the original reports. Only de-identified data were used.
Ethical Considerations
As this study involved retrospective analysis of anonymized medical records, the requirement for informed consent was waived. Confidentiality and data protection standards were strictly followed throughout the study. Ethical approval was obtained from the Kscien Organization (Approval No. 41/2025).
Statistical Analysis
Data analysis was performed using SPSS (Statistical Package for the Social Sciences) software (version 27.0). Descriptive statistics were used to summarize the data. Categorical variables, such as sex, type of cancer, and the anatomical system or organ affected, were reported as frequencies and percentages. Continuous variables, including age and tumor size, were presented as means with standard deviations or medians with quartile ranges, depending on data distribution. Comparisons of tumor size between groups (e.g., free vs. positive resection margins, lymph node involvement vs. no involvement) were performed using the Mann–Whitney U test, as tumor size was not normally distributed. A p-value < 0.05 was considered statistically significant.
Results
A total of 9,375 patients were analyzed (median age: 48.0 years; QR: 39.0–60.0). The age-standardized incidence rate was 82.20 (411.01/5) per 100,000 population per year (Table 1). Cancer incidence per 100,000 population rose with age, from 10.08 in the 0–10 group to a peak of 1,803.04 in the 71–80 group (Figure 1). Females comprised the majority at 7,101(75.74%). Of all evaluated cases, 6,635 (70.8%) were diagnosed by histology, 2,016 (21.5%) by cytology, and 724 (7.7%) underwent additional immunohistochemical analysis. Lymph node involvement was identified in 25.0% of cases, while nodes were not sampled in 49.3%. Invasive ductal carcinoma was the most frequently diagnosed cancer at 2,392 (25.5%) cases, followed by papillary thyroid carcinoma at 1,186 (12.7%) cases and unspecified adenocarcinoma at 639 (6.8%) (Table 2).
|
Age group, n (%) |
n (%) |
Population |
Ratio |
Crude Rate per 100,000 |
Weighted Rate |
|
<10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 >80 NA |
50 (0.53) 142 (1.51) 699 (7.46) 1,819 (19.40) 2,506 (26.73) 1,828 (19.50) 1,359 (14.50) 747 (7.97) 223 (2.38) 2 (0.02) |
495,803 489,567 426,132 326,470 243,584 134,611 84,910 41,430 25,543 - |
21.9 21.6 18.8 14.4 10.7 5.9 3.7 1.8 1.1 - |
10.08 29.0 164.03 557.17 1028.8 1357.9 1600.52 1803.04 873.03 - |
2.207 6.264 30.838 80.2325 110.0816 80.116 59.219 32.455 9.60 - |
|
Total |
9,375 (100.0) |
2,268,050 |
100.0 |
- |
411.01 |
|
NA: Not available |
|||||
|
Variables |
Frequency (%) |
|
Age, Median (QR) |
48.0 (39.0-60.0) |
|
Gender Female Male |
7,101 (75.74) 2,274 (24.26) |
|
Nationality Iraqi Turkish Bangladeshi British Pakistani NA |
9,363 (99.87) 4 (0.04) 1 (0.01) 3 (0.03) 1 (0.01) 3 (0.03) |
|
Anatomical location of the lesion Breast & Head & Neck Gastrointestinal tract Cardiothoracic / Cardiovascular Dermatology Pulmonology / Respiratory Orthopedics ENT & Maxillofacial Oncology Neurology / Neurosurgery Radiology Ophthalmology Pediatrics |
6,952 (74.1) 1,243 (13.3) 387 (4.1) 167 (1.8) 152 (1.6) 152 (1.6) 140 (1.5) 92 (1.0) 34 (0.4) 32 (0.3) 17 (0.2) 7 (0.1) |
|
Definitive diagnosis approach Histology Cytology Immunohistochemistry |
6,635 (70.8) 2,016 (21.5) 724 (7.7) |
|
Resection free margin Yes No Can not be assessed NA |
2,324 (24.8) 995 (10.6) 1,980 (21.1) 4,076 (43.5) |
|
Tumor size (mm), Median (QR) |
6.0 (2.0-15.0) |
|
Lymph node involvement Yes No NA |
2,344 (25.0) 1,431 (15.3) 5,600 (59.7) |
|
Type of cancer Invasive ductal carcinoma Papillary thyroid carcinoma Adenocarcinoma (unspecified) Ductal carcinoma in situ Metastatic carcinoma (all sites) Basal cell carcinoma Invasive lobular carcinoma Urothelial carcinoma Squamous cell carcinoma (all sites) Medullary thyroid carcinoma Hodgkin lymphoma (all types) Follicular thyroid carcinoma Invasive mammary carcinoma Sarcoma (all types) Malignant melanoma Other (each <0.1%) |
2,392 (25.5) 1,186 (12.7) 639 (6.8) 443 (4.7) 311 (3.3) 209 (2.2) 205 (2.2) 193 (2.1) 139 (1.5) 60 (0.6) 69 (0.7) 55 (0.6) 53 (0.6) 26 (0.3) 8 (0.1) 3,387 (36.1) |
|
QR: Quartile range, ENT: Ear, Nose, and Throat, NA: Not available |
|
Head and neck lesions were the single largest category (2,903 cases, 30.97%), followed by thoracic region (2,556 cases, 27.26%). Multi‐regional involvement was 17.30%, while abdominal (7.03%), pelvic (5.43%), extremity (upper 7.94%, lower 0.77%), axial skeleton (1.19%), and integumentary/soft tissue (2.11%) sites made up the rest (Table 3). Within the head and neck, the thyroid gland and associated lymph nodes constituted the majority of cases 2,208 (99.68%). In the thoracic region, the breast was the most frequently affected site 1,980 (77.5%), while the pulmonary system accounted for 468 cases (18.3%). Abdominal organs represented 659 cases (7.03%) (Table 3).
|
Variables |
Frequency (%) |
|
Head and neck 2,903 (30.97) |
|
|
Endocrine (Head and Neck) Thyroid Thyroglossal duct Thymus |
2,215 (76.3) 2,208 (99.68) 5 (0.23) 2 (0.09) |
|
Cervical Region Cervical/Cervical lymph node Neck Larynx Throat Vocal Cord Pharynx Head Tonsil Trachea Supraglottic Nasopharyngeal |
363 (12.5) 236 (65.01) 52 (14.32) 16 (4.41) 13 (3.58) 12 (3.31) 9 (2.48) 6 (1.65) 6 (1.65) 5 (1.38) 4 (1.10) 4 (1.10) |
|
Facial Region Nose Eye Lip Tongue Mandible Cheek Face Palate Mouth Forehead Jaw Chin Maxilla |
174 (6.0) 59 (33.91) 30 (17.24) 21 (12.07) 19 (10.92) 10 (5.75) 8 (4.60) 7 (4.02) 7 (4.02) 6 (3.45) 3 (1.72) 2 (1.15) 1 (0.57) 1 (0.57) |
|
Salivary System Parotid/Parotid Gland Submandibular Submental |
74 (2.5) 42 (56.76) 30 (40.54) 2 (2.70) |
|
Cranial and Neural Brain Skull |
45 (1.6) 30 (66.7) 15 (33.3) |
|
Auricular Ear Auricle |
32 (1.1) 29 (90.63) 3 (9.37) |
|
Thoracic Region 2556 (27.26) |
|
|
Breast Breast Intermammary |
1,980 (77.5) 1,978 (99.90) 2 (0.10) |
|
Pulmonary System Lung Bronchi Pleura |
468 (18.3) 387 (82.70) 58 (12.39) 23 (4.91) |
|
Mediastinum Esophagus Mediastinum/Mediastinal lymph node |
62 (2.4) 37(59.68) 25(40.32) |
|
Chest Wall Chest/Chest wall Clavicle Rib Sternum Suprasternal |
39 (1.5) 20 (51.28) 7 (17.95) 6 (15.38) 4 (10.26) 2 (5.13) |
|
Cardiovascular Heart Aorta |
7 (0.3) 4 (57.14) 3 (42.86) |
|
Abdominal Region 659 (7.03) |
|
|
Hepatobiliary and Upper GI tract Liver Stomach Pancreas Gallbladder Duodenum Spleen Bile Duct |
288 (43.7) 157 (54.51) 93 (32.29) 15 (5.21) 10 (3.47) 5 (1.74) 5 (1.74) 3 (1.04) |
|
Large Intestine Colon Appendix Cecum |
153 (23.2) 144 (94.12) 5 (3.27) 4 (2.61) |
|
Retroperitoneal Organs Kidney Adrenal Gland Retroperitoneum |
112 (17.0) 101 (90.18) 9 (8.04) 2 (1.78) |
|
Peritoneal and Mesenteric Structures Peritoneum Omentum Mesentery |
98 (14.9) 81 (82.65) 15 (15.31) 2 (2.04) |
|
Small Intestine Ileum Jejunum |
8 (1.2) 7 (87.5) 1 (12.5) |
|
Pelvic sites 509 (5.43) |
|
|
Urological Bladder Prostate Male Genital Urethra |
315 (61.9) 181 (57.46) 100 (31.75) 24 (7.62) 10 (3.17) |
|
Colorectal Rectum Sigmoid Anal |
98 (19.3) 61 (62.25) 33 (33.67) 4 (4.08) |
|
Gynecological region Uterus Ovary Vagina Vulva |
76 (14.9) 43 (56.58) 20 (26.32) 6 (7.89) 7 (9.21) |
|
Pelvic Pelvis |
20 (3.9) 20 (100.0) |
|
Upper Extremity 744 (7.94) |
|
|
Shoulder Girdle Axilla Shoulder |
715 (96.1) 713 (99.72) 2 (0.28) |
|
Arm region Upper-arm Humerus Hand Brachial |
29 (3.9) 19 (65.52) 4 (13.79) 4 (13.79) 2 (6.90) |
|
Lower Extremity 72 (0.77) |
|
|
Leg region Leg Foot Knee |
37 (51.4) 26 (70.27) 8 (21.62) 3 (8.11) |
|
Hip and Thigh Thigh Hip |
35 (48.6) 28 (80.0) 7 (20.0) |
|
Axial Skeleton 112 (1.19) |
|
|
Spine Vertebrae Spine Sacrum Paravertebral tissue |
37 (33.0) 15 (40.54) 8 (21.62) 8 (21.62) 6 (16.22) |
|
Lymphatic System Regional Nodes |
75 (67.0) 75 (100.0) |
|
Integumentary and Soft Tissue 198 (2.11) |
|
|
Integument Skin Others |
175 (88.4) 171 (97.71) 4 (2.29) |
|
Gastrointestinal Region Intestine/ Small intestine Bowel/ Small bowel |
23 (11.6) 18 (78.26) 5 (21.74) |
|
Multi-Region Combination 1622 (17.30) |
|
|
Thoracic Region Breast + Axilla / Supraclavicular / Clavicular regions Axilla + Supraclavicular/ Inguinal lymph nodes Lung + Bronchi / Pleura / Mediastinal / Carinal / Subcarinal lymph nodes |
1232 (76.0) 1210 (98.21) 15 (1.22) 7 (0.57) |
|
Head and Neck Combinations Thyroid gland + Cervical / Neck lymph nodes Cervical lymph nodes + Larynx / Tongue / Tonsil / Nose / Oral cavity Cervical lymph nodes + Ear / Parotid / Submandibular glands Cervical lymph nodes + Axillary lymph nodes Lip + Face / Submental / Cervical lymph nodes Nose + Mouth / Ear |
333 (20.5) 303 (91.0) 8 (2.40) 7 (2.10) 6 (1.80) 6 (1.80) 3 (0.90) |
|
Pelvic Region Sigmoid + Rectum Uterus + Ovaries Ovary + Colon / Peritoneum / Omentum Rectum + Liver / Bladder |
33 (2.0) 13 (30.40) 9 (27.27) 8 (24.24) 3 (9.09) |
|
Abdominal Region Stomach + Duodenum / Pylorus / Colon / Spleen / Gallbladder Colon + Liver / Kidney / Jejunum / Anus Ileum + Omentum + Peritoneum Kidney + Liver Liver + Omentum Pancreas + Spleen |
18 (1.1) 8 (44.44) 6 (33.33) 1 (5.56) 1 (5.56) 1 (5.56) 1 (5.56) |
|
Lymphatic Focused Sites Thyroid gland + Pretracheal / Paratracheal lymph nodes Thigh + Inguinal lymph nodes |
6 (0.4) 5 (83.3) 1 (16.7) |
Among the diagnostic procedures, excisional and incisional biopsy was the most frequently performed (2,300 cases, 24.5%), followed by fine needle aspiration (1,247 cases, 13.3%) and core needle biopsy (1,222 cases, 13.0%). In contrast, therapeutic interventions included total thyroidectomy with or without lymph node dissection (1,492 cases, 15.9%), wide local excision alone (415 cases, 4.4%), wide local excision with lymph node dissection (385 cases, 4.1%), mastectomy with lymph node dissection (275 cases, 2.9%), and mastectomy without lymph node dissection (270 cases, 2.9%) (Table 4).
|
Procedure/Operation |
Frequency (%) |
|
Excisional and Incisional Biopsy |
2300 (24.5) |
|
Fine Needle Aspiration |
1247 (13.3) |
|
Total Thyroidectomy (with/without LND) |
1492 (15.9) |
|
Core Needle Biopsy |
1222 (13.0) |
|
Wide Local Excision |
415 (4.4) |
|
Wide Local Excision with LND |
385 (4.1) |
|
Mastectomy with LND |
275 (2.9) |
|
Mastectomy |
270 (2.9) |
|
Mass Excision (with/without Lymph Node) |
233 (2.5) |
|
Mastectomy with Lymph Node Biopsy |
209 (2.2) |
|
Transurethral Resection of Bladder Tumor |
171 (1.8) |
|
Wide Local Excision with Lymph Node Biopsy |
161 (1.7) |
|
Thyroid Lobectomy (with/without LND or Isthmectomy) |
145 (1.5) |
|
Lymph Node Dissection |
103 (1.1) |
|
Mass Resection (with/without Lymph Node) |
102 (1.1) |
|
Bronchial Biopsy |
77 (0.8) |
|
Colectomy |
69 (0.7) |
|
Nephrectomy |
67 (0.7) |
|
Lobectomy (with/without Lymph Node Biopsy) |
65 (0.7) |
|
Hysterectomy with Salpingo Oophorectomy |
31 (0.3) |
|
Bronchial Washing |
22 (0.2) |
|
Orchiectomy |
18 (0.2) |
|
Transurethral Resection of the Prostate |
17 (0.2) |
|
Sigmoidectomy |
16 (0.2) |
|
Whipple Operation |
15 (0.2) |
|
Pneumonectomy |
14 (0.1) |
|
Gastrectomy (Subtotal / Total ± Splenectomy) |
24 (0.3) |
|
Glossectomy (Total/Partial) (with/without LND) |
12 (0.1) |
|
Dilatation and Curettage |
12 (0.1) |
|
Esophagogastroduodenoscopy |
9 (0.1) |
|
Colonoscopy |
8 (0.1) |
|
Cystectomy |
8 (0.1) |
|
Superficial or Total Parotidectomy (with/without LND) |
26 (0.3) |
|
Thyroid Isthmectomy |
14 (0.1) |
|
Lymph Node Biopsy |
8 (0.1) |
|
Hysterectomy |
8 (0.1) |
|
Lymph Node Resection |
6 (0.1) |
|
Lumpectomy (with/without LND) |
6 (0.1) |
|
Subtotal Colectomy |
6 (0.1) |
|
Appendectomy |
6 (0.1) |
|
Breast Revision Surgery (with/without Lymph Node Biopsy) |
5 (0.1) |
|
Thyroid Nodulectomy |
11 (0.1) |
|
Cholecystectomy |
4 (0.04) |
|
Metastasectomy |
4 (0.04) |
|
Amputation |
3 (0.03) |
|
Hepatectomy |
3 (0.03) |
|
Nephrectomy with LND |
3 (0.03) |
|
Pelvectomy |
3 (0.03) |
|
Prostatectomy (with/without LND) |
4 (0.04) |
|
Segmentectomy |
3 (0.03) |
|
Thyroid Nodulectomy with LND |
3 (0.03) |
|
Tonsillectomy |
3 (0.03) |
|
Adrenalectomy |
2 (0.02) |
|
Esophagectomy |
2 (0.02) |
|
Eye enucleation |
2 (0.02) |
|
Microdochectomy |
2 (0.02) |
|
Pancreatectomy |
2 (0.02) |
|
Polypectomy |
2 (0.02) |
|
Vulvectomy |
2 (0.02) |
|
Splenectomy |
2 (0.02) |
|
Total Laryngectomy with LND |
2 (0.02) |
|
Tonsillectomy with Lymph Node Biopsy |
2 (0.02) |
|
Hepatic lobectomy |
1 (0.01) |
|
Maxillectomy |
1 (0.01) |
|
Oophorectomy |
1 (0.01) |
|
Pancreatectomy with Splenectomy |
1 (0.01) |
|
Pap test |
1 (0.01) |
|
Paracentesis |
1 (0.01) |
|
Parathyroidectomy |
1 (0.01) |
|
Pneumonectomy with LND |
1 (0.01) |
|
Subtotal Thyroidectomy |
1 (0.01) |
|
Wedge Resection |
1 (0.01) |
|
NA |
2 (0.02) |
|
LND: Lymph node dissection, NA: Not available |
|
The median tumor size was 5.1 mm (QR 2.2–22.0 mm) in cases with free resection margins, compared to 8.5 mm (QR 4.0–17.0 mm) in cases with positive margins, with the difference being statistically significant (p < 0.001) (Figure 2). Patients with lymph node involvement had significantly larger tumor sizes (median: 5 mm, QR: 2.3–20 mm, mean: 13.4 mm) compared to those without lymph node involvement (median: 4 mm, QR: 1.5–15 mm, mean: 10.6 mm) (p = 0.018) (Figure 3).
Discussion
Despite advances in global cancer surveillance, accurately capturing the true burden of cancer survivorship remains challenging, particularly in low- and middle-income countries. Although survival data from these regions have expanded in recent years, they often lack sufficient granularity for effective local health planning and policy development [12]. Against this backdrop, the present study provides detailed institution-level prevalence data from a tertiary care center in Iraq, offering valuable insights into the demographic, epidemiological, and clinical characteristics of cancer patients in this setting.
Age is a well-established risk factor for cancer development [13]. In the present study, the median age at diagnosis was 48.0 years, reflecting an earlier onset compared with most Western populations. This pattern aligns with broader epidemiological data from the Middle East, where cancers tend to present one to two decades earlier than in Western countries. Comparable medians have been reported in Jordan (55–56 years) [14,15] and Palestine (55 years) [16], while in a study from Basra, Iraq, which analyzed 2,163 cancer cases in 2017, the mean age was 51.4 ± 19.6 years [17]. In contrast, data from the U.S. National Cancer Institute’s Surveillance, Epidemiology, and End results program indicate a median cancer diagnosis age of 67 years, with individual cancers occurring at even older ages, lung (71), prostate (68), colorectal (66), and breast (63 years) [18]. Peak cancer incidence in this study occurred in the 71–80 age group, with 1,803 per 100,000 population, indicating that age-related cancer burden is increasingly affecting Iraq’s population. This pattern is consistent with national cancer registry data, which report the highest incidence among individuals aged 70–79 years [19]. In high-income countries, peak incidence occurs at slightly older ages and higher rates, such as 2,500 per 100,000 in U.S. adults aged 80–84 years [20] or adults ≥75 years comprising 36% of new UK cases [21]. In this study, the declining pattern in cancer incidence observed after the age of 80 was likely due to competing mortality, whereby many elderly individuals die from other conditions before cancer can be diagnosed; diagnostic underestimation, as very old patients are less likely to undergo extensive investigations; and population structure, since the >80 group made up only 1.1% of the total population, making the rates more sensitive to small changes in case numbers.
The age-standardized incidence rate (ASR) in this study was 82.20 per 100,000 population, consistent with low- and middle-income country figures but lower than the 2022 global ASR of 198 per 100,000 [22]. Regional ASRs vary: high-incidence countries like Cyprus, Israel, and Turkey report 196–340 per 100,000, while Jordan reports moderate ASRs of 131–137 per 100,000 [23]. The overall Arab countries’ ASR is ~132 per 100,000 [22], whereas high-income nations may exceed 300 per 100,000, with Australia at ~468 per 100,000 [24]. The relatively low ASR in this study may reflect Iraq’s younger demographic, limited screening, underreporting, registry limitations.
In this single-center series, head and neck lesions constituted the largest category, with 2,903 cases (30.97%), followed by thoracic lesions with 2,556 cases (27.26%). This distribution differs markedly from national cancer trends. Iraqi registries consistently identify breast and lung cancers as the most common malignancies, with bladder cancer leading in men; notably, breast cancer alone accounted for 19.5% of all malignancies in 2012 [25]. Similarly, a nine-year study from Karbala found head and neck tumors to represent only 2.7% of cancers [26]. Globally, head and neck cancers rank among the ten most common malignancies, with around 900,000 new cases annually [26]. In the UK, they are the eighth most common cancer, comprising 3% of new cases (approximately 12,400 per year), with peak incidence between 60–64 years [21]. Since the early 1990s, incidence rates in the UK have risen by over 35%, with a nearly 47% increase among females [27, 28]. The unusually high proportion of head and neck lesions in this study most likely reflects referral patterns rather than the true population-based incidence.
The thoracic category represented the second most common group in the current series, accounting for 27.26% of cases. This pattern is consistent with Iraq’s known cancer burden, where breast cancer is the most prevalent malignancy among women, comprising approximately 19–34% of female cancers [25]. A study from the Basra Cancer Control Centre analyzing 2,163 cases also highlighted bladder and lung cancers as the leading malignancies among men [17]. National statistics further confirm breast and lung cancers as the two most common cancer types overall. The prominence of thoracic cases in the present study is therefore not unexpected. Globally, lung cancer remains a major health challenge, with an estimated 2.2 million new cases and 1.8 million deaths reported in 2020, making it the leading cause of cancer-related mortality worldwide. Recent data from the International Agency for Research on Cancer (2025) indicate that lung adenocarcinoma has become the predominant histological subtype, with rising incidence particularly among younger populations and females [29,30].
Cancers of the abdomen (7.03%) and pelvis (5.43%) were less frequent compared to global trends. Worldwide, colorectal cancer is among the top three cancers in incidence and mortality, comprising approximately 10% of global cancer cases [10]. The lower proportion in this dataset might reflect underdiagnosis, referral patterns, or differences in lifestyle factors like diet and obesity, which are known contributors to colorectal carcinogenesis [31]. Similarly, the relatively low prevalence of integumentary/soft tissue cancers (2.11%) is consistent with global data, where soft tissue sarcomas are rare, accounting for less than 1% of all cancers in developed countries [32].
Globally, thyroid cancer was the tenth most common malignancy in 2020, with about 586,000 new cases (≈3% of all cancers), predominantly affecting women [33]. In this study, however, thyroid cancer comprised nearly a quarter of cases, far exceeding regional expectations. For comparison, a Saudi tertiary center reported overall rate of 9% (12% in women) [34], whereas Iraqi registry data from 2012 did not list thyroid as one of the leading sites [25]. Globocan 2020 ranked thyroid cancer as the second most common cancer in Iraqi women (5.8%) [10]. This unusually high proportion likely reflects referral bias, as the center specializes in endocrine disorders and thyroid surgery. Conversely, several major cancers were underrepresented. Lung, colorectal, bladder, liver, and prostate cancers each accounted for only 1–4% of cases, compared with much higher global and national figures. Worldwide, lung cancer alone contributed 12.4% of new cases in 2022 and remains the leading cause of cancer death [3], whereas it was only 4.13% (387/9,375) here. Colorectal cancer was 1.5% (98/9,375) compared to 9.6% globally and 6.2% in Iraq [3,10]. Similarly, rates for bladder (1.9%), liver (1.7%), and prostate (1.1%) were well below both global averages and Iraqi data [3,10]. These discrepancies again point to strong referral and selection factors rather than true incidence.
The predominance of invasive ductal carcinoma in this cohort is consistent with global epidemiology, as it remains the most common form of breast cancer, representing 70–80% of invasive cases [35–37]. In the United States alone, about 276,000 women are diagnosed annually, with most cases occurring in those over 50 years [36]. Invasive lobular carcinoma, the second most common subtype, accounted for 2.2% of cases here, similar to SEER data showing its position behind ductal carcinoma [38]. Long-term analyses indicate stable ductal carcinoma rates but increasing lobular and mixed ductal-lobular subtypes over recent decades [39]. Ductal carcinoma in situ, observed in 4.7% of cases, reflects the influence of screening programs, with contemporary data showing it accounts for 20–25% of newly diagnosed breast cancers in the U.S., largely mammography-detected [40].
Papillary thyroid carcinoma comprised 12.7% of cases, aligning with global trends of increasing thyroid cancer incidence. It constitutes about 84% of all thyroid cancers, with a 3:1 female predominance, and its incidence rose from 9.9 to 16.1 per 100,000 between 2003 and 2017 before stabilizing in recent years [41]. Revisions in diagnostic criteria, particularly reclassifying certain follicular variants as in situ tumors, have slowed reported growth. Regional data illustrate heterogeneity, with a study from Jordan reporting papillary carcinoma increases from 89.6% to 94% of thyroid cases [42]. Follicular and medullary thyroid carcinomas were less frequent but remain important subtypes with distinct epidemiological features; notably, follicular carcinoma incidence rose by over 30% between the 1980s and 2000s [43]. Skin cancers were also represented, with basal cell carcinoma (2.2%) and squamous cell carcinoma (1.5%). Basal cell carcinoma is the most common skin cancer globally, with steadily rising incidence over the past decades [44]. Squamous cell carcinoma shows wide geographic variation, with plateauing or declining rates in Australia, stable rates in the U.S., but increases in Europe [45]. Hodgkin lymphoma, comprising 0.7% of cases, remains rare but is the most common cancer among adolescents. Recent U.S. rates are 3.8 per 100,000 in men and 2.9 per 100,000 in women, with a modest overall decline since 2000 [46]. Globally, incidence varies, highest in Southern Europe and lowest in Eastern Asia, with rising trends in younger populations, females, and Asian countries [47]. Urothelial carcinoma (2.1%) reflects its role as the predominant bladder cancer subtype, comprising ~90% of cases. In the U.S., ~84,870 new bladder cancers are reported annually, with a 4:1 male predominance [48]. Upper tract urothelial carcinoma, while rare (~2 per 100,000), contributes 5–10% of urothelial malignancies [49].
Biopsy and diagnostic procedures constituted the overwhelming majority of interventions (53.42%, n=5,017), with incisional and excisional biopsy being the most common procedure (24.5%, n=2,300), followed by fine needle aspiration (13.3%, n=1,247) and core needle biopsy (13.0%, n=1,222). This pattern reflects the critical importance of tissue diagnosis in cancer management, consistent with international guidelines that emphasize histopathological confirmation as the cornerstone of cancer diagnosis [50]. The high frequency of fine needle aspiration biopsy aligns with Iraqi studies demonstrating its effectiveness, with reported sensitivity rates of 87.3-96% and specificity rates of 83-100% for breast lesions, making it a preferred initial diagnostic tool due to its minimal invasiveness and cost-effectiveness [51,52]. Studies from other Middle Eastern centers have similarly reported high utilization of fine needle aspiration and core needle biopsies, particularly for superficial lesions and thyroid nodules [53].
Thyroid surgery represented the second most common category (18.36%, n=1,733), with total thyroidectomy (with/without lymph node dissection) being the predominant procedure (15.9%). The preference for total thyroidectomy over thyroid lobectomy (1.5%) and isthmectomy (0.1%) aligns with international guidelines for differentiated thyroid cancer, particularly for tumors larger than 4 cm or those with aggressive histological features. The high frequency of total thyroidectomy in this series is consistent with the current trend toward more aggressive surgical management for thyroid cancer in developing countries, where patients often present at more advanced stages [54].
Breast surgery accounted for 8.20% of procedures, with mastectomy-related procedures representing 754 cases. The predominance of mastectomy over breast-conserving surgery reflects the pattern observed throughout Iraq, where modified radical mastectomy remains the standard approach for breast cancer treatment. Studies from the Kurdistan region of Iraq show that 60.2% of breast cancer patients undergo mastectomy compared to 39.8% receiving breast-conserving surgery, with the proportion of breast-conserving surgery slowly increasing from 36.3% in 2016 to 43.7% in 2021 [55]. This mastectomy preference contrasts with international trends in developed countries where breast-conserving surgery is increasingly favored for early-stage disease [56].
This study has several limitations. First, potential referral bias may affect the representativeness of the findings, as the unusually high proportion of head and neck and thyroid cancers likely reflects the center’s specialized role rather than true population-based cancer incidence. The five-year study period and single-center setting further limit the generalizability of the results to broader populations. Finally, the absence of survival data and cancer staging information restricts the ability to assess outcomes and prognosis within the studied population.
Conclusion
The study highlights a unique cancer profile, with younger age at diagnosis and higher rates of head, neck, and thyroid cancers. These findings underscore the need for targeted screening and prevention strategies adapted to regional healthcare systems and population risks.
Declarations
Conflicts of interest: The authors have no conflicts of interest to disclose.
Ethical approval: Ethical approval for this study was obtained from the Ethical Committee of Kscien Organization (Approval No. 41/2025).
Consent for participation: Not applicable.
Consent for publication: Not applicable.
Funding: The present study received no financial support.
Acknowledgements: None to be declared.
Authors' contributions: AMM, and FHK: Major contribution to the conception and design of the study, literature search, and manuscript drafting. ARA, DAH, FA, MSE, HSA, LQR, MAK, DGH and HHR: literature review, study design, data collection, and critical revision of the manuscript. BAA, and SJH: literature review, table and figure processing. All authors have read and approved the final version of the manuscript.
Use of AI: ChatGPT-4.5 was used to assist with language refinement and improve the overall clarity of the manuscript. All content was thoroughly reviewed and approved by the authors, who bear full responsibility for the final version.
Data availability statement: Data are available from the corresponding author upon reasonable request.
References
- Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L et al. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer; 2024 [cited 2025 Jun 25]. Available from: https://gco.iarc.who.int/today
- Mingomataj E, Krasniqi M, Dedushi K, Sergeevich KA, Kust D, Qadir AA, et al. Cancer publications in one year (2023): A cross-sectional study. Barw Medical Journal. 2024;2(2):3-11. doi:10.58742/g9q9t715
- Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2024;74(3):229-63. doi:10.3322/caac.21834
- Soerjomataram I, Bray F. Planning for tomorrow: global cancer incidence and the role of prevention 2020–2070. Nature reviews Clinical oncology. 2021;18(10):663-72. doi:10.1038/s41571-021-00514-z
- Mohammed YM, Hammood ZD, Salih AM, Yasseen HA, Tahir SH, Omar SS et al. Ovarian metastasis from lobular breast carcinoma: A case report with review of literature. Radiology Case Reports. 2025;20(6):3099-105. doi:10.1016/j.radcr.2025.03.043
- Kiri S, Ryba T. Cancer, metastasis, and the epigenome. Molecular Cancer. 2024;23(1):154. doi:10.1186/s12943-024-02069-w
- Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2021. CA: a cancer journal for clinicians. 2021;71(1):7-33. doi:10.3322/caac.21654
- Ferlay J, Colombet M, Soerjomataram I, Mathers C, Parkin DM, Piñeros M, Znaor A, Bray F. Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods. International journal of cancer. 2019;144(8):1941-53. doi:10.1002/ijc.31937
- Arokiasamy P. India’s escalating burden of non-communicable diseases. The Lancet Global Health. 2018;6(12):e1262-3. doi:10.1016/S2214-109X(18)30448-0
- Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2021;71(3):209-49. doi:10.3322/caac.21660
- Hiwa O. Abdullah, Berun A. Abdalla, Fahmi H. Kakamad, Jafaar O. Ahmed, Hiwa O. Baba, Marwan N. Hassan, et al. Predatory Publishing Lists: A Review on the Ongoing Battle Against Fraudulent Actions. Barw Medical Journal. 2024;2(3): 26-30. doi:10.58742/bmj.v2i2.91
- Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. International journal of cancer. 2010;127(12):2893-917. doi:10.1002/ijc.25516
- Smetana K, Lacina L, Szabo P, Dvořánková B, Brož P, Šedo A. Ageing as an important risk factor for cancer. Anticancer research. 2016;36(10):5009-17. doi:10.21873/anticanres.11069
- Al-Tarawneh M, Khatib S, Arqub K. Cancer incidence in Jordan, 1996-2005. Eastern Mediterranean Health Journal. 2010;16(8): 837-845. http://applications.emro.who.int/emhj/V16/08/16_8_2010_0837_0845.pdf
- Abdel-Razeq H, Attiga F, Mansour A. Cancer care in Jordan. Hematology/oncology and stem cell therapy. 2015;8(2):64-70. doi:10.1016/j.hemonc.2015.02.001
- Halahleh K, Gale RP. Cancer care in the Palestinian territories. The Lancet Oncology. 2018;19(7):e359-64. doi:10.1016/S14702045(18)30323-1
- Abood RA, Abdahmed KA, Mazyed SS. Epidemiology of different types of cancers reported in Basra, Iraq. Sultan Qaboos University Medical Journal. 2020;20(3):e295. doi:10.18295/squmj.2020.20.03.008
- National Cancer Institute. Risk Factors: Age. Bethesda (MD): National Cancer Institute; [cited 2025 Jul 29]. Available from: https://www.cancer.gov/about-cancer/causes-prevention/risk/age
- Salih HH, Abd SY, Al-Kaseer E, Al-Diwan J. Cancer in Iraq, General View of Annual Report 2022. Journal of Contemporary Medical Sciences. 2024;10(6):475-477. doi:10.22317/jcms.v10i6.1676
- Thakkar JP, Villano JL, McCarthy BJ. Age-specific cancer incidence rates increase through the oldest age groups. The American journal of the medical sciences. 2014;348(1):65-70. doi:10.1097/maj.0000000000000281
- Cancer Research UK. Cancer incidence by age. London: Cancer Research UK; 2023 [cited 2025 Jul 29]. Available from: https://www.cancerresearchuk.org/health-professional/cancer-statistics/incidence/age#-heading-Zero
- Al-Muftah M, Al-Ejeh F. Cancer incidence and mortality estimates in Arab countries in 2018: A GLOBOCAN data analysis. Cancer Epidemiology, Biomarkers & Prevention. 2023;32(12):1738-46. doi:10.1158/1055-9965.EPI-23-0520
- Anton-Culver H, Chang J, Bray F, Znaor A, Stevens L, Eser S, et al. Cancer burden in four countries of the Middle East Cancer Consortium (Cyprus; Jordan; Israel; Izmir (Turkey)) with comparison to the United States surveillance; epidemiology and end results program. Cancer epidemiology. 2016;44:195-202. doi:10.1016/j.canep.2016.06.004
- Harnisch-Weidauer L. Which countries have the highest and lowest cancer rates? Dana-Farber Cancer Institute Insight blog [Internet]. 2022 Jan [cited 2025 Jul 31]. Available from: https://blog.dana-farber.org/insight/2022/01/which-countries-have-the-highest-and-lowest-cancerrates/
- Alwan NA. Breast cancer among Iraqi women: Preliminary findings from a regional comparative Breast Cancer Research Project. Journal of global oncology. 2016;2(5):255. doi:10.1200/JGO.2015.003087
- Mjali A, Hassan AK, Nassrullah HA, Sedeeq AO, Abbas NT, Al-Shammari HH, et al. Pattern of Head and Neck Cancers in Karbala Province, Iraq: Data from a Developing Country. Asian Pacific Journal of Cancer Care. 2023;8(4):703-8. doi:10.31557/apjcc.2023.8.4.703-708
- Cancer Research UK. Head and neck cancers statistics. London: Cancer Research UK; [cited 2025 Aug 5]. Available from: https://www.cancerresearchuk.org/health-professional/cancer-statistics/statistics-by-cancer-type/head-and-neck-cancers#Head_neck_stats0
- Smith CD, McMahon AD, Purkayastha M, Creaney G, Clements K, Inman GJ, et al. Head and neck cancer incidence is rising but the sociodemographic profile is unchanging: a population epidemiological study (2001–2020). BJC reports. 2024;2(1):71. doi:10.1038/s44276-024-00089-z
- Li C, Lei S, Ding L, Xu Y, Wu X, Wang H, et al. Global burden and trends of lung cancer incidence and mortality. Chinese medical journal. 2023;136(13):1583-90. doi:10.1097/CM9.0000000000002529
- Luo G, Zhang Y, Rumgay H, Morgan E, Langselius O, Vignat J, et al. Estimated worldwide variation and trends in incidence of lung cancer by histological subtype in 2022 and over time: a population-based study. The Lancet Respiratory Medicine. 2025;13(4):348-63. doi:10.1016/S2213-2600(24)00428-4
- Seo W, Jung SY, Jang Y, Lee K. Lifestyle factors and colorectal cancer prediction: A nomogram-based model. BMC cancer. 2025;25(1):1240. doi:10.1186/s12885-025-14674-z
- Shakya S, Banneyake EL, Cholekho S, Singh J, Zhou X. Soft tissue sarcoma: clinical recognition and approach to the loneliest cancer. Exploration of Musculoskeletal Diseases. 2024;2(1):56-68. doi:10.37349/emd.2024.00034
- Shank JB, Are C, Wenos CD. Thyroid cancer: global burden and trends. Indian Journal of Surgical Oncology. 2022;13(1):40-5. doi:10.1007/s13193-021-01429-y
- Hussain F, Iqbal S, Mehmood A, Bazarbashi S, ElHassan T, Chaudhri N. Incidence of thyroid cancer in the Kingdom of Saudi Arabia, 2000–2010. Hematology/oncology and stem cell therapy. 2013;6(2):58-64. doi:10.1016/j.hemonc.2013.05.004
- Gallas AE, Morenikeji GO, King RE, Adegbaju MS, Ayoola A, Taiwo G, Morenikeji OB. An Overview of Invasive Ductal Carcinoma (IDC) in Women’s Breast Cancer. Current Molecular Medicine. 2025; 25(4): 361-371. doi:10.2174/0115665240349468241113065031
- Desai S. Breast Cancer: Invasive Ductal Carcinoma. Cancer Therapy Advisor. 2024[cited 2025 Aug 10]. Available from: https://www.cancertherapyadvisor.com/ddi/invasive-ductal-carcinoma/
- Collier E, Fernandez JM, Hsiao JL, Shi VY. Invasive ductal carcinoma arising in an accessory nipple. International Journal of Women’s Dermatology. 2020;6(3):227. doi:10.1016/j.jdcr.2020.04.028
- Barroso-Sousa R, Metzger-Filho O. Differences between invasive lobular and invasive ductal carcinoma of the breast: results and therapeutic implications. Therapeutic advances in medical oncology. 2016;8(4):261-6. doi:10.1177/1758834016644156
- Li CI, Anderson BO, Daling JR, Moe RE. Trends in incidence rates of invasive lobular and ductal breast carcinoma. Jama. 2003;289(11):1421-4. doi:10.1001/jama.289.11.1421
- Kerlikowske K. Epidemiology of ductal carcinoma in situ. Journal of the National Cancer Institute Monographs. 2010;2010(41):139-41. doi:10.1093/jncimonographs/lgq027
- Li Y, Che W, Yu Z, Zheng S, Xie S, Chen C, et al. The incidence trend of papillary thyroid carcinoma in the United States during 2003–2017. Cancer Control. 2022;29:10732748221135447. doi:10.1177/10732748221135447
- Hajeer MH, Awad HA, Abdullah NI, Almuhaisen GH, Abudalu LE. The rising trend in papillary thyroid carcinoma: true increase or over diagnosis?. Saudi Medical Journal. 2018;39(2):147. doi:10.15537/smj.2018.5.22592
- Aschebrook-Kilfoy B, Grogan RH, Ward MH, Kaplan E, Devesa SS. Follicular thyroid cancer incidence patterns in the United States, 1980–2009. Thyroid. 2013;23(8):1015-21. doi:10.1089/thy.2012.0356
- Muzic JG, Schmitt AR, Wright AC, Alniemi DT, Zubair AS, Lourido JM, et al. Incidence and trends of basal cell carcinoma and cutaneous squamous cell carcinoma: a population-based study in Olmsted County, Minnesota, 2000 to 2010. InMayo Clinic Proceedings 2017(Vol. 92, No. 6, pp. 890-898). Elsevier. doi:10.1016/j.mayocp.2017.02.015
- Stang A, Khil L, Kajüter H, Pandeya N, Schmults CD, Ruiz ES, et al. Incidence and mortality for cutaneous squamous cell carcinoma: comparison across three continents. Journal of the European Academy of Dermatology and Venereology. 2019;33:6-10. doi:10.1111/jdv.15967
- Aslani A, Morsali S, Mousavi SE, Choupani S, Yekta Z, Nejadghaderi SA. Adult Hodgkin lymphoma incidence trends in the United States from 2000 to 2020. Scientific Reports. 2024;14(1):20500. doi:10.1038/s41598-024-69975-3
- Huang J, Pang WS, Lok V, Zhang L, Lucero-Prisno III DE, Xu W, et al. NCD Global Health Research Group, Association of Pacific Rim Universities (APRU). Incidence, mortality, risk factors, and trends for Hodgkin lymphoma: a global data analysis. Journal of hematology & oncology. 2022;15(1):57. doi:10.1186/s13045-022-01281-9
- American Cancer Society. Key Statistics for Bladder Cancer [Internet]. 2025 [cited 2025 Aug 10]. Available from: https://www.cancer.org/cancer/types/bladder-cancer/about/key-statistics.html
- Alouini S. Risk factors associated with urothelial bladder cancer. International Journal of Environmental Research and Public Health. 2024;21(7):954. doi:10.3390/ijerph21070954
- Aljehani MR, Alamri FH, Elyas ME, Almohammadi AS, Alanazi AS, Alharbi MA. The importance of histopathological evaluation in cancer diagnosis and treatment. International journal of health sciences. 2023;7(S1):3614-23. doi:10.53730/ijhs.v7nS1.15270
- Abedalrahman SK. Reliability of fine needle aspiration biopsy in diagnosis of breast lump. AL-Kindy College Medical Journal. 2019;15(1):61-7. doi:10.47723/kcmj.v15i1.81
- Abedalrahman SK. Accuracy of fine needle aspiration biopsy (FNAB) in diagnosis of breast lump. Al-kindy college medical journal. 2019;15(2):9-12. doi:10.47723/kcmj.v15i2.152
- Al-Ghanimi IA, Al-Sharydah AM, Al-Mulhim S, Faisal S, Al-Abdulwahab A, Al-Aftan M, et al. Diagnostic accuracy of ultrasonography in classifying thyroid nodules compared with fine-needle aspiration. Saudi journal of medicine & medical sciences. 2020;8(1):25-31. doi:10.4103/sjmms.sjmms_126_18
- Murthy SP, Balasubramanian D, Anand A, Limbachiya SV, Subramaniam N, Nair V, et al. Extent of thyroidectomy in differentiated thyroid cancers—review of evidence. Indian Journal of Surgical Oncology. 2018;9(1):90-6. doi:10.1007/s13193-017-0661-2
- Namiq KS, Sulaiman LR. Neoadjuvant therapy in nonmetastatic breast cancer in Kurdistan, Iraq. JCO Global Oncology. 2023;9:e2200276. doi:10.1200/GO.22.00276
- Tagar E, Kpolugbo J, Okomayin AA, Tagar AG. A review of breast cancer surgeries in a sub-urban nigerian tertiary hospital and the limitations of breast-conserving surgery. Breast Cancer: Basic and Clinical Research. 2025;19:11782234251323774. doi:10.1177/11782234251323774
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