Volume 6, Issue 1 (1-2022)                   EBHPME 2022, 6(1): 71-79 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Pakdaman M, Dehghan H, Ziadpoor H, Abolhasanizade F, Namayandeh S M. Assessment of Tools to Diagnose Cancer in Patients with Early Stage Breast Cancer: A Systematic Review. EBHPME 2022; 6 (1) :71-79
URL: http://jebhpme.ssu.ac.ir/article-1-312-en.html
Research Center of Prevention and Epidemiology of Non Communicable Disease, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran , rhziadpoor@gmail.com
Full-Text [PDF 3915 kb]   (293 Downloads)     |   Abstract (HTML)  (1436 Views)
Full-Text:   (154 Views)
Background: Breast cancer is an uncontrolled and unnatural proliferation of cells in different breast tissues. The first measure to diagnose breast cancer is an examination by a surgeon followed by mammography, sonography, sampling, and other diagnosing methods. Given that there are several methods to diagnose breast cancer, and most of them are quite expensive, the present systematic review compares the expenses and effectiveness of different methods to diagnose breast cancer.
Methods: The study was carried out as a systematic review through searching databases, i.e., PubMed, Web of Science, Magiran, Scopus, and Embase for articles published from March 1999 to May 31, 2017. The research articles regarding health technology assessment and economic assessment (n = 8) were examined.
Results: Generally, conducting MRI screening and digital mammography every six months after the age of 30 are proved to be the most efficient and economical methods to screen carriers of BRCA (BReast CAncer) mutated genes. Besides, implementing both the techniques simultaneously was more cost-efficient with BRCA1 compared to BRCA2. Some studies have revealed that genetic tests and Oncotype tests, in particular, were the most cost-efficient methods to diagnose the disease, especially in its early stages.
Conclusion: Consequently, indexing gene expression in individuals with BRCA gene mutation is revealed to more cost-efficient.
Key words: BRCA1/2 gene, Breast cancer, Breast cancer diagnosis, Gene expression indexing technology, Cost-effectiveness
Introduction
Concepts such as individual and public health are undoubtedly the most important aspects of life and life-long goals for humans (1). Cancer is one of the world-leading diseases causing anxiety and depression in society, especially the patients and their families. It is defined as uncontrolled proliferation of cells. Normally, cell proliferation is controlled by cell division cycle mechanists that are, in turn, controlled by a variety of genes (2).
Breast cancer is one of the major malignant tumors and is affected by environmental factors and genetic damage. Unfortunately, it is the second cause of death in the West, and the prevalence of this cancer has been growing in Asian regions over the past few years. The incidence rate of breast cancer in Iran's female population is 24 cases per 100,000 people (3) and is the most common cause of death in women between 35 and 55 years old. The causes of breast cancer are aging, family history, infertility, first pregnancy after the age of 30, excessive use of animal fat, etc. (3).
Since different cancer treatments and diagnostic methods are available, the authors decided to compare the economic evaluation of gene expression index technology and breast cancer diagnostic tools, especially mammography, in patients with early-stage breast cancer to find the most cost-effective method. Finally, the authors provide the latest information for policymakers to adopt the best program accordingly.
Studies have shown that hereditary and genetic factors can be the facilitators of breast cancers. One-third of the total number of breast cancer patients have a history of positive breast cancer in one or more relatives (4). Since the clinical process of the disease differs from patient to patient, it is not easy to predict the outcome of the disease. However, determining the factors that can predict the outcome either directly or in directly, can help make clinical decisions and choose the right intervention (5).
Changes in BRCA 1/2 genes make some women susceptible to breast and ovarian cancers. While pathogenic changes in these genes increase the risk of breast/ovarian cancer in women by 85 %, researchers try to find additional genes to explain other types of breast cancer (non-hereditary).
Individuals who need a genetic check for breast cancer are those:
  • Diagnosed with breast cancer before the age of 50.
  • Diagnosed with breast cancer in both breasts (two-side form).
  • With one or more family members diagnosed with breast and ovarian cancers simultaneously.
  • With two or more cases of breast cancer related to the BRCA gene in one of the family members
  • Men with breast cancer (6).
Different factors such as the tumor size, engagement of lymphatic glands, and pathology determine the severity of the disease and the right intervention (7).
Given that there are several methods to determine breast cancer, the present systematic review study examines the economic aspect of breast cancer diagnosing methods. The results can be used to determine the most ethical, cost-efficient, and safest method to diagnose breast cancer.
Materials and Methods
The study was carried out as a systematic review through searching articles published from March 1999 to May 31, 2017, in PubMed, Web of Science, Magiran, Scopus, and Embase databases. All clinical trial studies (CCT, RCT) related to costs and cost-effectiveness of breast cancer diagnosing methods (genetic consultation, clinical examinations, mammography, genetic tests, and QALY outcomes) were also included. The search was done using the keywords "gene expression, breast cancer, breast neoplasm, the cost-effectiveness of MRI and mammography, BRCA 1/2 and breast cancer, genetic testing for breast, genomic profile of breast, and MRI for breast cancer" and their Farsi equivalents. Specifically, commands such as "OR" and "AND' were used in the search for precise results.
Quality assessment was done based on CHEC (Consensus on Health Economics Criteria Checklist) (8). The checklist included 20 items that examine perspectives such as the study population, study plan, economics, validity of models and methods, measurability of results, cost-effectiveness, results and follow-up, and ethics observation. The items were scored from 1 to 12. Each item was assigned with a score based on the determined measures that represent the quality of the study.
The selection process for the present study was based on the CHEC checklist (Consensus on Health Economics Criteria), which included 20 items. Accordingly, one article received 19 points, two articles received 17 points, four articles received 16 points, and one article received 15 points.
Search method
The efficiency of the methodology for systematic review has been supported by other studies. In addition to the search in the mentioned databases, the references of the found articles were used for manual search, and experts were consulted by exchanging information via email.
Inclusion/exclusion criteria
All the CCT and RCT studies were included in the current study and those that did not have the keywords were excluded. Furthermore, studies that only covered one aspect of the subject and were limited to definitions and costs of genetic tests
for breast cancer were excluded as well.
IR.SSU.SPH.REC.1396.69.

Results
The search resulted in 1355 articles, out of which the irrelevant and repetitious articles were excluded based on the titles. Consequently, 382 articles were deleted due to their duplicate article titles, and 973 articles were examined. After their examination, 282 articles were further eliminated in the title screen and abstracts due to their irrelevant content and different purposes. As a result, 691 articles were left out of which 576 articles were further deleted since they examined only one case study of cancer screening methods and that no comparative aspect existed. Out of the remaining 115 articles, 107 articles were additionally excluded because the three keywords, i.e., cost, cost-effectiveness, and quality of life, were not examined simultaneously in the result and discussion section of the articles. As a result, eight articles left were thoroughly checked by one of the reviewers in terms of inclusion and exclusion criteria, and any form of ambiguity was settled by the second reviewer. Eventually, eight articles were selected in the final phase, from which four articles were scored 9, two articles were scored 10, one article was scored 11, and one article was scored 12 according to CHEC (Figure 1).
Following is a brief explanation of the articles selected for the present research work.
A study by Henry J et al. (9 (on the effectiveness of mammography, MRI, clinical test, and diagnostic tests explained that genetic tests were cost-effective only in the early stages of breast cancer and young ages. In terms of cost, however, MRI was more economical compared to genetic tests.
Houssami et al. (10) compared three breast cancer screening strategies in the US, UK, and Netherlands and concluded that the strategy adopted in the Netherland was more cost-effective.
Ketil Heimal et al. (11) examined the expenses of genetic consultation, clinical tests, biopsy, and mammography and found that genetic consultation was more cost-effective for patients with a family history.
Similarly, three diagnosing methods, namely MRI, mammography, and gene expression indexing technology, were compared by Eccleston et al. (12). They reported that the former method was more cost-effective in individuals with a mutated BRCA gene.
Other researchers such as Cott Chubiz et al. (13) examined the cost-effectiveness of MRI and digital mammography in individuals with mutated BRCA1/2 gene. They concluded that digital mammography at the age of 25 was the most cost-effective method to determine the gene mutation and that both methods were more cost-effective with BRCA2 compare with BRCA1.
Margaret L et al. (14) concluded that genetic tests were more cost-effective than mastectomy and oophorectomy.
In the same line, a study by Katz et al. (15) claimed that the special ward cares for breast cancer were more cost-effective than the cares provided in the general ward. Besides, the ICER of these cares, including medical tests and periodical examination, was 2.13 per QALY (quality-adjusted life year).
Furthermore, a study by Miguel A et al. (16) showed that the MammaPrint test was more
cost-effective than a DC test.
Table1. Summary of study results
Year Author(s) Goal of study Costs Method Result
2017 Anthony Eccleston, et al. (12) A Cost-Effectiveness evaluation of Germline BRCA1 and BRCA2 Testing The index case (full genes):306
MRI, per year: 191
Mammography, per year:55
Total with surgery:13189
Total without surgery:9373
The probability of germline BRCA mutation testing being cost-effective at a threshold of d20,000 / QALYwas99.9 00 %. BRCA testing compared with no testing, resulting in an ICER of d4,339 / QALY
2015 Gregory Katz et al. (15) Economic impact of gene expression
profiling in patients with early-stage breast cancer in France
Mean cost of chemotherapy in the private hospital setting: EUR 8,218.

Mean costs of adjuvant chemotherapy were EUR 10,305 from a societal perspective.
QALY:
OncotypeDX: 11.320
Standard care:11.160
ICER from a healthcare payer perspective: EUR 2,134.36 per QALY gained

ICER from a societal perspective Oncotype DX is dominant to standard care (cost and lifesaving)
2013
Henry J. Folse1 et al. (9) Mammography
MRI
Clinical breast exam diagnostic tests
Costs ($) of mammogram: 35.810
MRI:83.716
Clinical breast exam:12.169
diagnostic tests:32.259

Note:
Screening on a more high-risk people will result in a lower cost per QALY.
This is for a test with a cost of only $945, which is much lower than the cost of the BRCA test, which ranges from $3000 to $ 4000.
For people with a risk of 16 % to 28 %, it resulted in
a 1.910 % reduction in cancer deaths, saving 0.005 QALY per patient for $163.264
Per QALY. These results were sensitive to the age at which the test is given,
The ICER per QALY of the genetic test were
$141,415
2013 G. H. de Bock et al.
 (10)
Comparing the Dutch strategies
UK strategies US strategies
Cost of:
- Ammography (National Breast and Cervical Cancer Early Detection Program (NBCCEDP)
The ICERs are a few thousand euros per life-year Gained, indicating that the Dutch strategy is cost-effective compared with the UK strategy.
2013 Niguel  ngel Seguı´1 et al (16)
Cost-effectiveness
analysis from the Spanish National Healthcare System perspective
Cost analysis:
Mammaprint:2675

Oncotype DX:3200

Chemotherapy: 2825
QALY:
Mamma print: 3.314

Oncotype DX:3.309
Adjuvant:3.293
ICER MammaPrint vs Adjuvant: e83,544 / QALY

ICER MammaPrint vs Oncotype DX: Dominant
2013 Jessica E Cott Chubiz, et al. (13) Cost-effectiveness of Alternating MRI and Digital Mammography
Screening in BRCA1 and BRCA2 Gene Mutation
Cost:
-BRCA1:
MRI25:1000
Alt30:2400
BRCA2:
MRI25:1400
Alt30:3600
QALYs*:
-BRCA1: (MRI25 / Alt30): 39.440
-BRCA2: (MRI25 / Alt30): 45.590
ICER:
BRCA1(MRI25/Alt30): $226,500
DM25 :Eliminated
Alt25 :$978,500

BRCA2:
(MRI25 / Alt30): $554,900
DM25:Eliminated
Alt30: $ 215,700
2009 Margaret L et al. (14) Cost-effectiveness of testing for breast cancer
susceptibility genes
Cost:
Genetic testing:2542
mastectomy:12254
oophorectomy:5011
QALY:
Test-strategy: 22.900
no-test strategy: 22.700
The ICERof the test strategy was $9k.
The costs and effectiveness of both the test and no-test
strategies are very similar
1999 Ketil Heimda et al.
 (11)
-Genetic counseling
-Clinical examinations
-Mammography
-Biopsy
Cost per item in:
-Genetic counseling: 163
-Clinical examinations: 46
-Mammography:61
-Biopsy:76
In Cancer family clinic strategy, Cost per year saved:753 The conclusion is that inherited breast
cancer may be managed effectively for the cost of
Euro 750–1.600 per year earned.

Discussion
The present study is part of a health technology assessment program to examine breast cancer diagnosing methods. In this section, the findings of each article are expressed, discussed, and compared.
Henry J Folse et al. (9) reported "cost-effectiveness of genetic tests for breast cancer risk" and the cost of mammography, MRI, clinical breast test, and diagnostic tests as follows:
Cost of mammogram 81/35 (US$),
MRI = 716/83 (US$), clinical breast exam = 169.12 (US$), diagnostic test = 259/32
loaded. Therefore, MRI complementary with mammography is recommended for breast cancer screening in women with around 20 - 25 % risk of breast cancer. The cost-effectiveness of a genetic test for each QALY was US$141,415, which was higher than the other methods.

The review of "What strategies are better for women with BRCA 1/2 mutation? (A comparative cost-effectiveness simulation)" conducted by G. H. de Bock et al. (10) concluded that there was no consensus about the best strategy (mammography or MRI). The effectiveness and cost-effectiveness of screening programs implemented in the Netherlands, UK, and the USA (different in terms of period and age group) showed that the three methods were not quite different. There were small differences in terms of cost-effectiveness so and the strategy used in the Netherlands, which were better than the other methods.
Ketil H (11) found that people's attitudes about the cost-effectiveness of genetic tests on mutation genes had not changed over the years. In additionally, they found that genetic tests on individuals with a family history were more cost-efficient than those in other individuals diagnosed with breast cancer. These tests on individuals with a family history of breast cancer saved € 750-1600 per patient annually.
Anthony Eccleston et al. (12) examined the cost-effectiveness of BRCA1/2 genes tests and reported that QALY of the BRCA test on all women with ovarian cancer in the UK was equal to 20,000 and ICER was equal to 4.33. By conducting the test on all women, 141 new cases of ovarian cancer and 142 breast cancer can be diagnosed every year, and nearly 77 lives can be saved.
Jessica E et al. (13) examined the cost-effectiveness of MRI and digital mammography tests on women with mutated BRCA1/2 and reported that QALY of BRCA 1 and 2 was 39.44 and 44.59, respectively. Moreover, the cost-effectiveness of BRCA 1 and 2 was 226.50 and 554.90 per QALY, which means that genetic test on mutated BRCA 2 gene was more cost-efficient than that of BRCA 1. On the whole, MRI and digital mammography screening recommended every six months from the age of early 30s was the most efficient method for diagnosing the carriers of BRCA mutated gene.
Margaret L, Holland et al. (14) found that two screening strategies, one with a genetic test and one without a genetic test, were highly similar in terms of general costs. The tests on BRCA 1/2 genes saved six out of 1000 women. The tests were also recommended for individuals with a very low risk of mutation. The cost of genetic cost (US$ 2,54 ) was far less than mastectomy (US$ 12,25 ) and oophorectomy (US$ 5,011 ). On the contrary, QALY of the screening method with and without genetic test was 22.90 and 22.70, respectively, which is not considerably different. In terms of cost-effectiveness, the cost of the strategy without a genetic test was US$ 9,000 which was much higher than the strategy with a genetic test.
Gregory K. et al. (15) focused on the economic effect of gene expression indexing on early-stage breast cancer patients in France and found
that the mean cost of chemotherapy in private
and state hospitals was € 8.21 and € 10.30 respectively thus, the difference was not considerable.

Miguel A et al. (16) reported that the cost of MammaPrint, DX, and chemotherapy in US dollars was equal to 2, 67, 3, 200, and 2,82 respectively while the QALY of MammaPrint, DX, and chemotherapy was 3.31, 3.30, and 3.20 respectively. The investigation revealed the obvious result that MammaPrint was more cost-effective with ICER with QALY equal to 83.54.
Conclusion
As a rule of thumb, conducting the MRI and digital mammography screening every six months from the age of early 30s is the most efficient and cost-effective method for the carriers of BRCA mutated gene. Using both the methods simultaneously on BRCA 1 gene was more cost-effective than BRCA 2. From the safety point of view, medical counseling and mammography for individuals suspected of a breast lump are more efficient and safer.
Genetic tests and DX tests, particularly in the early stages of breast cancer, are the most cost-effective method. However, it should be noted that the positive result of a genetic test only indicates that the individual has a malignant mutation in BRCA 1 or 2 and that there is a risk of developing cancer, including breast cancer. However, the exact time of developing the complication and its severity cannot be determined through these
tests.

Moreover, all the tests on breast cancer patients need continuous follow-up and screening, periodically if needed.
Different strategies are efficient only when all the required capacity of basic cancer diagnosis, referral services, treatment, and pain alleviation are available. Given the care sensitivities in breast cancer patients, the screening services need to be covered by public medical insurance policies prominently in the case of the more expensive genetic tests.
Acknowledgments
This paper is part of an MSc dissertation on health technology assessment. The authors wish to express their gratitude to the dean of the School of Health, Yazd University of Medical Sciences (Dr. Mozaffari.
Conflict of interests
The authors declared no conflict of interests.
Authors' contributions
Ziadpoor H designed research; Abolhasanizade  F conducted research; Pakdaman M and Dehghan H and Namayandeh SM analyzed data; and Ziadpoor H wrote manuscript. Ziadpoor H had primary responsibility for the final content. All authors read and approved the final manuscript.
Funding
Non applicable.
 
Type of Study: Review Article | Subject: Health Economics
Received: 2020/09/8 | Accepted: 2022/01/30 | Published: 2022/03/29

References
1. Sadock BJ, Sadock VA. Kaplan and sadock's synopsis of psychiatry: Behavioral sciences/ clinical psychiatry: Lippincott Williams & Wilkins.11nd ed. Lippincott williams & wilkins publishers; 2014. p. 1224-5.
2. Jalali Nadoushan M, Davati A, Tavakoli Far A. Evaluation of gen expression status in primary breast cancer and its relation to some prognostic factors. J Mazandaran Univ MedSci. 2007; 17(58): 30-6. [In Persian]
3. Iranian ministry of health, deputy for health directory, CDC, cancer office. national cancer registry report 2006 - 2007. 3rd ed. Tehran: Center for Disease Control Publication; 2007. p. 27-9. [In Persian]
4. Martinez D, Berka RM, Henrissat B, Saloheimo M, Arvas M, Baker SE, et al. Genome sequencing and analysis of the biomass-degrading fungus trichoderma reesei (syn. hypocrea jecorina). Nature Biotechnology. 2008; 26(5): 553-60. [DOI:10.1038/nbt1403]
5. Golmohammadi R, Pejhan A. Gene experison of cell proliferative marker Ki67 in breast cancer. J Gorgan Uni Med Sci. 2011; 13(3): 65-71. [In Persian]
6. Farivar Sh, Khakpoor L. Micro RNAs and breast cancer. Enetics in the 3rd Millennium. 2013; 10(4): 2913-21. [In Persian]
7. Shamsalinia A, Tavakoli Far A, Jalali Nadoushan MR. MExpression of Bcl-2 gene in primary breast cancer and its correlation with some prognostic factors. Journal of Mazandaran University of Medical Sciences. 2007: 17(58): 30-6. [In Persian]
8. Mastrigt Gh, Hiligsmann M, Arts JJ, Broos PH, Kleijnen J, Evers SM, et al. How to prepare a systematic review of economic evaluations for informing evidence-based healthcare decisions: A five-step approach (part 1/3). Expert Review of Pharmacoeconomics & Outcomes Research. 2016; 16(6): 689-704. [DOI:10.1080/14737167.2016.1246960]
9. Folse HJ, Green LE, Kress A, Allman R, Dinh TA. Cost-effectiveness of a genetic test for breast cancer risk. Cancer Prevention Research. 2013; 6(12): 1328-36. [DOI:10.1158/1940-6207.CAPR-13-0056]
10. De Bock GH, Vermeulen KM, Jansen L, Oosterwijk JC, Siesling S, Dorrius MD, et al. Which screening strategy should be offered to women with BRCA1 or BRCA2 mutations? A simulation of comparative cost-effectiveness. British Journal of Cancer. 2013; 108(8): 1579-86. [DOI:10.1038/bjc.2013.149]
11. Heimdal K, Maehle L, Møller P. Costs and benefits of diagnosing familial breast cancer. Disease Markers. 2004; 15(1-3): l67-73. [DOI:10.1155/1999/751892]
12. Eccleston A, Bentley A, Dyer M, Strydom A, Vereecken W, George A, et al. A cost-effectiveness evaluation of germline BRCA1 and BRCA2 testing in UK women with ovarian cancer. Value in Health. 2017; 20(4): 567-76. [DOI:10.1016/j.jval.2017.01.004]
13. Cott Chubiz JE, Lee JM, Gilmore ME, Kong, ChY, Lowry KP, Halpern, et al. Cost-effectiveness of alternating magnetic resonance imaging and digital mammography screening in BRCA1 and BRCA2 gene mutation carriers. Cancer. 2013; 119(6): 1266-76. [DOI:10.1002/cncr.27864]
14. Holland ML, Huston A, Noyes K. Cost-effectiveness of testing or breast cancer susceptibility genes. University of Rochester, Rochester, NY, USA. 2009; 12(2): 207-16. [DOI:10.1111/j.1524-4733.2008.00418.x]
15. Katz G, Romano O, Fao C, Vataire A-L, Chantelard J-V, Hervé R, et al. Economic impact of gene expression profiling in patients with early-stage breast cancer in France. PLOS ONE. 2015; 10(6): e0128880. [DOI:10.1371/journal.pone.0128880]
16. Miguel AS, Carlos C, Cortés, Lluch A, Brosa M, Becerra V, et al. Genomic profile of breast cancer: Cost-effectiveness analysis from the Spanish national healthcare system perspective. Expert Review of Pharmacoeconomics & Outcomes Research. 2014; 14(6): 889-99. [DOI:10.1586/14737167.2014.957185]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Evidence Based Health Policy, Management and Economics

Designed & Developed by : Yektaweb