Predictive relevance of tumor-infiltrating lymphocytes in breast cancer

Titipungul, Tanin; Chaisuriya, Nipon; Waraasawapati, Sakda; Koonmee, Supinda; Sangkhamanon, Sakkarn

doi:10.1097/01.pat.0000454305.75770.c5

Cited by 1 publication

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“…Titipungul et al found mean LNM of 3.2 in breast cases, while Freneaux et al found 47.3% LNM. 23,28 Mean LNM was 1-6 in GIT cases, 0.2 and 45.5% in urinary bladder malignancies, 70 and 58% in oral cancers. 19,20,24,25,29,32 Serial recuts, use of immunohistochemistry, one step nucleic acid amplification (OSNA) and polymerase chain reaction can further aid in detecting minute nodal metastases.…”

Section: Gender and Age Wise Distribution Of Casesmentioning

confidence: 98%

“…Mean LNH values recommended were 10, 12, 12 and 40 in breast, GIT, genitourinary and HFNT respectively. [28][29][30][31] Techniques to further improve the yield of LNH include meticulous dissection during grossing, Intratumoral India ink injection during surgery, ex-vivo intra-arterial injection of methylene blue and chemical fat clearance using acetone and alcohol. [30][31][32][33] Lymph node metastases LNM values were 03, 80, 10 and 03 in head and neck, breast, GIT and genitourinary respectively in our study.…”

Section: Gender and Age Wise Distribution Of Casesmentioning

confidence: 99%

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Morphologic patterns of nodal reactive hyperplasia in primary organ malignancy-architectural changes and evaluation by comparison with other morphological parameters

2023

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Background: Reactive lymph node hyperplasia can exhibit morphological patterns I to VI. This study was done to evaluate lymph node hyperplasia, lymph node reactive patterns, lymph node metastasis and correlation with tumour stage, lymph node patterns and lymph node size. Methods: Total 454 lymph nodes were reviewed for metastases and reactivity patterns I to VI as per the World Health Organization (WHO) protocol. Association between qualitative variables was assessed by the chi-square test and Fisher’s exact test, those between quantitative variables using unpaired t-test. Results: Lymph node hyperplasia was highest in breast and commonest lymph node reactive patterns were lymphocyte predominance, germinal centre predominance, sinus histiocytosis and mixed patterns. Conclusions: Lymph node hyperplasia and lymph node reactive patterns show organ-wise variation and need standardisation. Most common lymph node reactive patterns included lymphocyte predominance and germinal centre predominance hyperplasia. Studying lymph node reactivity may help to understand host immune reaction against the tumour and thus influence prognosis.

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