Evidence map›Paper›PMID 26687650›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

The search for optimal cutoff points for apoptosis and proliferation rate in prognostification of early stage breast cancer patients treated with anthracyclines in adjuvant settings.

Beata Biesaga, Joanna Niemiec, Joanna Wysocka, Dorota Słonina, Marek Ziobro

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

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5 authors.

Beata BiesagaDepartment of Applied Radiobiology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Cracow Branch, 11 Garncarska Street, Cracow, 31-115, Poland. z5biesag@cyfronet.pl.
Joanna NiemiecDepartment of Applied Radiobiology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Cracow Branch, 11 Garncarska Street, Cracow, 31-115, Poland.
Joanna WysockaDepartment of Tumor Pathology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Cracow Branch, 11 Garncarska Street, Cracow, 31-115, Poland.
Dorota SłoninaDepartment of Applied Radiobiology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Cracow Branch, 11 Garncarska Street, Cracow, 31-115, Poland.
Marek ZiobroDepartment of Medical Oncology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Cracow Branch, 11 Garncarska Street, Cracow, 31-115, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer growth is determined by the proportion of proliferating to dying cells; thus, the aim of the study was to analyze how proliferation rate and apoptosis level affect disease-free survival (DFS) of breast cancer (BC) patients treated with anthracycline-based chemotherapy. For 172 BC, proliferation rate was investigated by Ki-67 labeling index (Ki-67 LI)-assessed immunohistochemically. Apoptosis level was analyzed by apoptotic index (AI) estimated by terminal deoxynucleotidyl transferase dUTP nick end labeling assay. To stratify patients into subgroups with higher and lower DFS and to achieve optimal categorization, optimal cutoff points were searching by minimal P value method. The best separation of DFS curves (P = 0.001) was observed for three categories of AI: (i) AI >1.8 % (DFS = 100 %), (ii) AI ≤0.3 % (DFS = 84.6 %), and (iii) 1.8 % <= AI >0.3 % (DFS = 64.0 %). The highest DFS (86.1 %) was shown for the subgroup with low-proliferating BC (Ki-67 LI ≤18.0 %), intermediate (73.9 %) for patients characterized by Ki-67 LI in the range 18.0-37.0 % and the lowest (60.0 %) for women with fast-proliferating tumors (Ki-67 LI >37.0 %) (P = 0.022). Summarized, minimal P value method allows for optimal separation of survival curves. Apoptosis level and proliferation rate have some prognostic potential for early stage breast cancer patients treated with anthracyclines in adjuvant setting, however, as suggested by multivariate analysis, not as independent prognostic factors.

Indexed as

ApoptosisChemotherapy, AdjuvantAdultAgedAntibiotics, AntineoplasticAntigens, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsCell DifferentiationCyclophosphamideDisease-Free SurvivalDoxorubicinEpirubicinFemaleFluorouracilHumansAntibiotics, AntineoplasticAntigens, NeoplasmCyclophosphamideDoxorubicinEpirubicinFluorouracilKi-67 AntigenAnthracyclinesApoptosisEarly stage breast cancer patientsProliferation rate

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.