Tumour Immune and Ki-67 Scoring Methods as Prognostic Biomarkers in Diffuse Large B-cell Lymphoma and Aggressive B-cell Lymphomas
Tumour Immune "Hotness" and Ki-67 Scoring Methods as Prognostic Biomarkers in Diffuse Large B-cell Lymphoma and Aggressive B-cell Lymphomas: An Immunohistochemical Study
Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive non-Hodgkin lymphoma with heterogeneity in its clinical presentations, biological behaviour and response to therapy (1-4). Nevertheless, despite R-CHOP chemotherapy being successful, a high percentage of patients relapsed early or were primary refractory, highlighting the urgent need for more accurate prognostic biomarkers (2,5).
With the emergence of new discoveries in cancer immunology, the focus has shifted to the tumour microenvironment (TME). The density and presence of tumour-infiltrating lymphocytes (TILs), especially CD3+ T cells and CD8+ cytotoxic T lymphocytes, are key determinants of the anti-tumour immune response (6-8). Now tumours are classified by their immune 'hotness'. 'Hot' tumours, with high T-cell infiltration, are associated with a better prognosis, whereas 'cold' tumours, with immune exclusion or desertion, are associated with a poorer prognosis (9-10).
On the other hand, the Ki-67 proliferation index is still the gold standard marker to measure the growth fraction of neoplastic cells (11). However, the optimal scoring method is yet to be established (12-13). Prognostic information may be obtained by global scoring (i.e. the proliferation index averaged over the whole tumour) and hotspot scoring (i.e. the area of maximum proliferation) (14-15).
In aggressive lymphomas the hotspot index could be a better representation of the highly proliferative clones that drive clinical progression (16-17). The present study was done to assess the combined effect of immune infiltration (CD3/CD8) and proliferation (Ki-67) to build a more accurate prognostic model for patients with DLBCL and other aggressive B-cell lymphomas treated
研究概览
研究类型
注册 (估计的)
联系人和位置
学习联系方式
- 姓名:Aliaa Bakr Ahmed, MD
- 电话号码:01062157907
- 邮箱:aliaa.bakr@med.sohag.edu.eg
研究联系人备份
- 姓名:Aliaa Bakr Ahmed, MD
- 电话号码:01062157907
- 邮箱:aliaa.bek0@gmail.com
学习地点
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Sohag、埃及、82511
- Sohag University
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接触:
- Aliaa Ahmed
- 电话号码:01062157907
- 邮箱:aliaa.bek0@gmail.com
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参与标准
资格标准
适合学习的年龄
- 孩子
- 成人
- 年长者
接受健康志愿者
取样方法
研究人群
描述
Inclusion Criteria:
• Patients diagnosed with Diffuse Large B Cell Lymphoma, not otherwise specified (DLBCL, NOS) and other aggressive large B-cell lymphomas, according to current WHO/ICC diagnostic principles.
- Histopathological diagnosis obtained by excisional biopsy, core biopsy or adequate tissue biopsy.
- Availability of FFPE tissue blocks with sufficient viable tumor for immunohistochemical (IHC) staining.
- Diagnostic tissue obtained before the initiation of definitive systemic therapy.
- Available minimum clinical data: age, sex, date of diagnosis, treatment status, and follow-up/survival status.
- For survival analysis: cases with documented follow-up date or date of death/progression.
Exclusion Criteria:
• Inadequate tissue, exhausted block or severe fixation/processing artifact preventing reliable IHC interpretation.
- Extensive necrosis, crush artifact or decalcification artifact in the only available diagnostic tissue.
- Relapse biopsy after chemotherapy without available pretreatment diagnostic tissue.
- Primary Hodgkin lymphoma, indolent B-cell lymphoma without transformation, T-cell lymphoma or metastatic non-lymphoid malignancy.
- Cases lacking essential clinical outcome data for prognostic analysis (except for descriptive staining analysis).
- HIV-associated, post-transplant or primary CNS DLBCL may be excluded or analyzed separately due to distinct biology.
学习计划
研究是如何设计的?
设计细节
研究衡量的是什么?
主要结果指标
结果测量 |
大体时间 |
|---|---|
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Number of Patients with DLBCL/aggressive B-cell lymphomas with assessed by CD3 and Ki67 proliferation index immunohistochemical staining
大体时间:One or two days after staining sections with the markers]
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One or two days after staining sections with the markers]
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合作者和调查者
调查人员
- 首席研究员:Aliaa Bakr Ahmed, MD、Faculty of medicine, Sohag university
研究记录日期
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学习开始 (估计的)
初级完成 (估计的)
研究完成 (估计的)
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首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
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