scholarly journals Invasive Lobular Carcinoma Has Worse Outcome Compared with Invasive Ductal Carcinoma in Stage IV Breast Cancer with Bone-Only Metastasis

Breast Care ◽  
2021 ◽  
Author(s):  
Yunbo Luo ◽  
Aimin Ma ◽  
Shengkai Huang ◽  
Yinghua Yu

Background: Invasive lobular carcinoma (ILC) is more likely to be bone metastasis than invasive ductal carcinoma (IDC). However, the prognosis for bone metastasis in ILC and IDC is barely known. So, the aim of this study was to investigate the difference of prognosis between ILC and IDC accompany by bone metastasis. Methods: We evaluated the women with bone-only metastasis of defined IDC or ILC, reported to the Surveillance, Epidemiology and End Results program from 2010 to 2016. Pearson's chi-squared test was used to compare the difference of clinicopathologic factors between IDC and ILC. Univariate and multivariate analyses were performed to verify the effects of histological types (IDC and ILC) and other clinicopathologic factors on the overall survival (OS) and cancer-special survival (CSS). Results: Overall, 3647 patients with IDC and 945 patients with ILC met the inclusion criteria and were analyzed in our study. The patients with ILC were more likely to be older, lower histological grade and higher proportion of HR+/HER2- subtype. But less treatment was applied to ILC than IDC, such as surgery of the breast, radiation and chemotherapy. Compared patients with IDC, the patients with ILC showed worse OS (median OS 36 and 42 months respectively, p<0.001) and CSS (median CSS 39 and 45 months respectively, p<0.001), especially in subgroups with HR+/HER2- subtype [OS (Hazard ration: 1.501, 95% CI [1.270-1.773], p<0.001); CSS (Hazard ration: 1.529, 95% CI [1.281-1.825], p<0.001)], lower histological grade (Ⅰ-Ⅱ) [OS (Hazard ration: 1.411, 95% CI [1.184-1.683], p<0.001); CSS (Hazard ration: 1.488, 95% CI [1.235-1.791], p<0.001)] or tumor burden, such as T0-2 [OS (Hazard ration: 1.693, 95% CI [1.368-2.096], p<0.001); CSS (Hazard ration: 1.76, 95% CI [1.405-2.205], p<0.001)] and N1-2 [OS (Hazard ration: 1.451, 95% CI [1.171-1.799], p=0.001); CSS (Hazard ration: 1.488, 95% CI [1.187-1.865], p=0.001)]. Furthermore, older age, black race, unmarried status, higher tumor burden (T3-4 and N3), triple-negative subtype and higher histological grade were independent risk factors for both OS and CSS. Surgery of the breast and chemotherapy could significantly improve the prognosis for patients. Conclusion: The patients with ILC have worse outcomes compared with that of IDC when bone-only metastasis occurred to them, especially in subgroups with lower histological grade or tumor burden. More effective treatment measures may be needed for ILC, such as cyclin-dependent kinase 4/6 inhibitors (CDKs), new targeted drugs, etc.

Author(s):  
Anak Agung Ngurah Gunawan ◽  
I Wayan Supardi ◽  
S. Poniman ◽  
Bagus G. Dharmawan

<p>Medical imaging process has evolved since 1996 until now. The forming of Computer Aided Diagnostic (CAD) is very helpful to the radiologists to diagnose breast cancer. KNN method is a method to do classification toward the object based on the learning data which the range is nearest to the object. We analysed two types of cancers IDC dan ILC. 10 parameters were observed in 1-10 pixels distance in 145 IDC dan 7 ILC. We found that the Mean of Hm(yd,d) at 1-5 pixeis the only significant parameters that distingguish IDC and ILC. This parameter at 1-5 pixels should be applied in KNN method. This finding need to be tested in diffrerent areas before it will be applied in cancer diagnostic.</p>


2003 ◽  
Vol 29 (4) ◽  
pp. 390-395 ◽  
Author(s):  
H. Mersin ◽  
E. Yıldırım ◽  
K. Gülben ◽  
U. Berberoğlu

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12606-e12606
Author(s):  
Martin Majer ◽  
Elizabeth Fauchier Little ◽  
Sarah Jones ◽  
Jasmine Dong ◽  
Karolina Bezdickova ◽  
...  

e12606 Background: Invasive lobular carcinoma (ILC) differs from the more prevalent invasive ductal carcinoma (IDC) in histology, molecular underpinning, and biological responsiveness to cytotoxics. Patients diagnosed with IDC or ILC were evaluated in the clinical setting to determine if they differ in responsiveness to neoadjuvant hormone treatment. Methods: This is a retrospective observational study of an underserved, low income, rural population in Oroville, California. The data for this study was collected over ten years (2011-2021) from 58 estrogen receptor positive (ER+) breast cancer patients. The majority of these patients (48/58) were diagnosed with IDC with ages ranging from 35 to 91 (mean age is 66) and the remaining 10 were diagnosed with ILC with ages ranging from 58 to 85 (mean age is 64). Patients were given neoadjuvant hormone treatment starting after their initial biopsy confirming ER+ status until scheduled surgical removal by lumpectomy or mastectomy. Ki-67 was measured prior to treatment and then measured again after a minimum of 14 days on hormone therapy. The initial Ki-67 range for patients with IDC was 2%-75% (median of 15%). Ki-67 initial range for patients with ILC was 2%-30% (median of 11%). Positive response to treatment was set at > 50% reduction in Ki-67, with no response set at < 50% reduction in Ki-67. We compared the response rates of ILC and IDC patients using a chi-square test. Results: Chi-square analysis found no statistically significant difference between IDC and ILC response to hormone therapy. 34/48 (71%) patients with IDC responded to treatment, and 8/10 (80%) of ILC patients showed response. Incidentally, we noticed a higher prevalence of ILC in our community compared to expected numbers. Conclusions: When evaluating hormone therapy responsiveness in the neoadjuvant setting, there is no observable statistical difference in response rates between IDC and ILC. Neoadjuvant hormone testing employing Ki-67 response identifies subgroups of patients who benefit from the addition of new biologics (-ciclibs, mTOR inhibitors) in addition to hormone treatment. Our experience supports testing in this way to further individualize the care of patients unable to participate in clinical trials.


1996 ◽  
Vol 34 (2) ◽  
pp. 293
Author(s):  
Eun Chun Lee ◽  
Young Soo Do ◽  
Hoon Il Oh ◽  
Yoon Hee Han ◽  
Ki Soo Kim ◽  
...  

2020 ◽  
Vol 10 (4) ◽  
pp. 947-953
Author(s):  
Yajuan Wang ◽  
Yuan Fu ◽  
Guangsen Li ◽  
Tianlang Jin

The retrospective analysis of the ultrasonographic features of 108 cases of breast cancer confirmed by surgery and pathology, namely the relationship between mass boundary, posterior echo, calcification and blood flow signal and pathological type, was to explore the features of ultrasound sonography of breast cancer. The link between pathological typing. The results of the study showed that the ultrasound showed that the border of the nvasive ductal carcinoma was mostly burr-like. The ultrasound showed that the border of the invasive lobular carcinoma was mostly strong echo halo. The medullary carcinoma had a clear boundary, while the intraductal carcinoma showed more unclear borders. There was no significant difference in the relationship between the boundary of the mass and the pathological types. Ultrasound of invasive ductal carcinoma and invasive lobular carcinoma showed a posterior echo attenuation, and medullary carcinoma showed more posterior echo enhancement. The relationship between the echo of the posterior mass of the tumor and the pathological types was statistically different. The detection rate of ultrasound calcification in invasive ductal carcinoma and invasive lobular carcinoma was higher. The calcification in medullary carcinoma was less common. The calcification in the pathology of intraductal carcinoma was better. High, but ultrasound can only detect half of it. There was no significant difference in the relationship between calcification and pathological types in the tumor; ultrasound showed that most of the blood flow signals were abundant, suggesting that there was no statistical difference between the blood flow classification and the pathological classification of the tumor. The results of the thesis indicate that the ultrasound characteristics of breast cancer have a high diagnostic value for its pathological classification.


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