Breast cancer statistics help medical coders anticipate the documentation and coding decisions they will encounter most often, including invasive versus in situ disease, lymph node involvement, receptor status, long-term treatment, and personal history. Accurate ICD-10-CM reporting supports claims, quality reporting, cancer registries, and research while helping healthcare organizations maintain revenue cycle and clinical data integrity.
Every October, Breast Cancer Awareness Month puts the spotlight on patients, survivors, and the care teams who support them. Health information (HI) professionals are part of that team. Each breast cancer diagnosis generates years of encounters: screening, biopsy, surgery, systemic therapy, reconstruction, and surveillance. Every one of those encounters must be coded accurately for claims, quality reporting, cancer registries, and research.
The numbers show why this matters. Breast cancer is one of the highest-volume diagnoses in U.S. oncology, and it is also one of the most varied. The type of cancer, its receptor status, and its stage all affect treatment, and most of them affect the medical code as well.
Breast cancer in the U.S.: 2026 at a glance
321,910estimated new invasive breast cancer cases in women in 2026 | 60,730estimated new cases of ductal carcinoma in situ (DCIS) | 42,140estimated breast cancer deaths among women |
1 in 8U.S. women will develop invasive breast cancer in her lifetime | 2,670estimated new invasive breast cancer cases in men | 4.2 millionwomen living with a history of breast cancer |
Sources: American Cancer Society, Cancer Facts & Figures 2026 and Key Statistics for Breast Cancer; NCI SEER Cancer Stat Facts: Female Breast Cancer.
Breast cancer is the most commonly diagnosed cancer in American women other than skin cancer. It makes up about one-third of new female cancer diagnoses and 15.2% of all new cancer cases in the U.S. The median age at diagnosis is 64. Incidence has been rising about 0.7% per year, and faster among women under 50, at about 1.4% per year. Death rates have fallen about 1.2% per year over the past decade.
That combination creates a large and growing survivor population, which has a direct effect on medical coding. More survivors mean more surveillance visits, more long-term hormone therapy, more reconstruction encounters, and more chances to confuse an active cancer with a personal history of one.
How stage diagnosis affects breast cancer coding
According to National Cancer Institute SEER data, most breast cancers are found early, and survival depends heavily on stage:
| Stage at diagnosis | Share of cases | 5-year relative survival |
|---|---|---|
| Localized (confined to the breast) | 64% | 100.0% |
| Regional (spread to nearby lymph nodes or tissue) | 27% | 87.5% |
| Distant (metastatic) | 6% | 33.8% |
| All stages | — | 91.9% |
All stages — 91.9% Source: NCI SE
ER Cancer Stat Facts, Female Breast Cancer (survival 2016–2022).
Coding takeaway: A regional-stage cancer has already spread, which usually means lymph node involvement. When the provider documents nodal spread, it is reported as a secondary malignancy (for example, C77.3 for axillary lymph nodes) in addition to the primary C50 code, even though the patient is not stage IV. A stage by itself never supplies a secondary-site code. The provider must document where the cancer has spread.
ICD-10-CM codes for major breast cancer types
Breast cancers are classified by where they start (ducts or lobules) and by whether they are in situ (confined to where they began) or invasive (grown into surrounding tissue). That second distinction decides whether the code comes from the C50 category or the D05 category.
| Type | How common | ICD-10-CM coding |
|---|---|---|
| Invasive ductal carcinoma (IDC) | About 80% of breast cancers | C50.- by site, sex, and laterality (for example, C50.411, upper-outer quadrant, right female breast) |
| Invasive lobular carcinoma (ILC) | About 10% of invasive breast cancers | C50.- by site, sex, and laterality. The morphology leads you through the Index but doesn’t change the code. |
| Ductal carcinoma in situ (DCIS) | About 60,730 new cases expected in 2026 | D05.1- (intraductal carcinoma in situ), not C50. When the same breast has both invasive and in situ components, code only the invasive cancer. |
| Lobular carcinoma in situ (LCIS) | Less common; often an incidental finding | D05.0- |
| Inflammatory breast cancer (IBC) | About 1% to 5% of breast cancers | C50.A- (C50.A0 unspecified, C50.A1 right, C50.A2 left). This newer subcategory has laterality but no sex axis. |
| Paget disease of the breast | About 1% to 3% of breast cancers | C50.01- / C50.02- (nipple and areola, female/male), plus a code for any underlying cancer |
| Male breast cancer | Fewer than 1% of breast cancers | C50.x2x. The 5th character identifies a male patient. A female code on a male claim is a common edit failure. |
Sources: American Cancer Society; Breastcancer.org; ICD-10-CM FY2026 Tabular List.
Breast cancer receptor stats and Z codes
In addition to identifying where a cancer starts, oncologists classify it by receptors: estrogen (ER), progesterone (PR), and HER2. Receptor status determines whether hormone therapy or HER2-targeted drugs will work, and ICD-10-CM has status codes for each of them.
| Subtype | Share of cases | 5-year survival | Status codes to capture when documented |
|---|---|---|---|
| HR+ / HER2– | 70.1% | 95.8% | Z17.0 (ER+), Z17.21 (PR+), Z17.32 (HER2–) |
| Triple-negative (HR– / HER2–) | 10.8% | 78.7% | Z17.1 (ER–), Z17.22 (PR–), Z17.32 (HER2–) |
| HR+ / HER2+ | 9.3% | 92.2% | Z17.0, Z17.21 as applicable, Z17.31 (HER2+) |
| HR– / HER2+ | 4.0% | 87.0% | Z17.1, Z17.22, Z17.31 |
Source: NCI SEER Cancer Stat Facts, Female Breast Cancer Subtypes (cases 2019–2023; survival 2016–2022). Remaining cases have unknown subtype.
Seven in ten breast cancers are hormone receptor–positive, and many of those patients take tamoxifen or an aromatase inhibitor for five to ten years. That long treatment window is where coding most often goes wrong. While hormone therapy continues, the patient is still receiving treatment directed at the cancer, so the malignancy is coded as current (active), even when the record says “no evidence of disease” or describes the drug as preventing recurrence. Report long-term drug use with Z79.810 (selective estrogen receptor modulators such as tamoxifen) or Z79.811 (aromatase inhibitors). Move to Z85.3, personal history of breast cancer, only after all treatment is complete.
Triple-negative breast cancer is more aggressive and more common in people with BRCA1 mutations. When genetic susceptibility is documented, add Z15.01. For family history, add Z80.3.
Five common breast cancer medical coding errors
- Coding DCIS as invasive cancer. More than 60,000 DCIS cases a year means this happens a lot. “Intraductal” or “in situ” anywhere in the record points to D05, not C50.
- Assigning Z85.3 too early. With more than 4 million survivors and multi-year hormone therapy, coders have to confirm that all treatment has ended before switching to history.
- Missing nodal involvement. About 27% of cases are regional at diagnosis. Documented lymph node spread needs its own secondary code.
- Leaving out receptor status. With four distinct subtypes, Z17 status codes support medical necessity for targeted and hormone therapies and improve data quality.
- Defaulting to unspecified site or sex. Quadrant, clock position, laterality, and sex are usually in the record. C50.919 should be the exception, not the rule.
Breast cancer coding frequently asked questions
Invasive primary breast cancer codes to category C50, with the 4th character for site (for example, upper-outer quadrant), the 5th for sex, and the 6th for laterality. Inflammatory breast cancer uses C50.A-, and carcinoma in situ uses D05.-.
Assign the C50 code for the documented site, sex, and laterality, followed by Z17.1 (ER negative), Z17.22 (PR negative), and Z17.32 (HER2 negative) when the provider documents each status.
When the cancer has been excised or eradicated, there is no evidence of disease, and no further treatment is directed at the site, including hormone therapy. If treatment continues, code the malignancy as current.
A routine screening mammogram in an asymptomatic patient is reported with Z12.31, and Z85.3 is added when there is a personal history. If the mammogram is ordered because of a symptom or an abnormal finding, it is diagnostic, and Z12.31 is not the reason for the encounter.
Free on-demand webinar in honor of Breast Cancer Awareness Month
Want to go further? The webinar, Breast Cancer Coding Masterclass: From Diagnosis to Reconstruction, is available free on demand. Krithika Sairajan, General Manager of Quality, and I walk through C50 code assignment, neoplasm sequencing, mastectomy CPT selection, and pedicled vs. free flap and implant-based reconstruction.
The course content is also available to subscribers of the AGS Health Coding Academy, a subscription-based coding education platform offering ongoing professional development across a range of coding topics. Coding Academy subscribers can complete the course as part of their subscription and earn continuing education units (CEUs), which are not available through the free public webinar.
Statistics are the most recent available as of September 2026. Code references reflect FY2026 ICD-10-CM. Review the FY2027 ICD-10-CM updates, effective October 1, 2026, and payer-specific policies before applying.
REF:
- American Cancer Society. Cancer Facts & Figures 2026.
- American Cancer Society. Key Statistics for Breast Cancer.
- American Cancer Society. Key Statistics for Breast Cancer in Men.
- American Cancer Society. Types of Breast Cancer.
- National Cancer Institute SEER. Cancer Stat Facts: Female Breast Cancer.
- National Cancer Institute SEER. Cancer Stat Facts: Female Breast Cancer Subtypes.
- CDC. U.S. Cancer Statistics Female Breast Cancer Stat Bite.
- www.breastcancer.org. Types of Breast Cancer.
Leigh Poland RHIA, CCS
Author
Leigh has over 20 years of coding experience and has worked in the coding and education realm over the last 20 years. Her true passion is coding education making sure coders are equipped to do their job accurately and with excellence. Academically, Leigh has graduated from Louisiana Tech University with a Bachelor of Science. Leigh has had the opportunity to present many times in the past at the AHIMA, ACDIS, and AAPC National Conventions. She has been a guest speaker on AHIMA webinars and has written several articles that were published in the AHIMA Journal. Leigh has traveled the US and internationally providing coding education.