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Large nest micropapillary pattern of lung adenocarcinoma has poorer prognosis than typical floret pattern: analysis of 1,062 resected tumors
- Source :
- Transl Lung Cancer Res
- Publication Year :
- 2020
- Publisher :
- AME Publishing Company, 2020.
-
Abstract
- BACKGROUND: A micropapillary pattern (MP-p) is related to poor prognosis in patients with lung adenocarcinoma (L-ADC). In 2015, the WHO defined the MP-p as “papillary tufts forming florets that lack fibrovascular cores and may appear detached from alveolar walls”; however, the sizes of tumor clusters in air space were not mentioned in this classification. METHODS: We evaluated the MP-p dividing the cluster sizes in the air space by reviewing 1,062 cases of resected L-ADCs. We classified MP-p into two types according to cluster size as follows: typical floret MP-p, tumors with small-to-medium-sized clusters (1–20 tumor cells); and large nest MP-p, tumors with large-sized clusters (>20 tumor cells, large nest). We then recorded the frequency of each type and investigated the association between the MP-p type and clinicopathological factors. RESULTS: Twenty-nine percent of L-ADCs (n=308) were MP-p-positive. Typical floret MP-p and large nest MP-p were observed in 244 tumors (22.9%) and 64 tumors (6.0%), respectively. Only 7 additional micropapillary ADCs were detected when we reclassified ADCs in addition to large nest MP-p. Tumors with large nest MP-p showed the highest frequency of node metastasis and worse prognosis compared to those with typical floret MP-p and absent (P
- Subjects :
- 0301 basic medicine
Pathology
medicine.medical_specialty
Lung
business.industry
Hazard ratio
Pattern analysis
medicine.disease
Micropapillary pattern
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
medicine.anatomical_structure
Oncology
030220 oncology & carcinogenesis
Medicine
Adenocarcinoma
Original Article
In patient
business
Lung cancer
Nest (protein structural motif)
Subjects
Details
- ISSN :
- 22264477 and 22186751
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Translational Lung Cancer Research
- Accession number :
- edsair.doi.dedup.....80af9b23ef23a56974c15b41cffdb3f2
- Full Text :
- https://doi.org/10.21037/tlcr-19-731