Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
8 authors at 2 institutions in 1 country.
Markus SteinerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0003-4424-6347
Franz J GassnerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0001-9894-0313
Thomas PariggerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Daniel NeureiterInstitute of Pathology, Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0001-9155-5762
Alexander EgleDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.
Roland GeisbergerDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-0131-2191
Richard GreilDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-4462-3694
Nadja ZaborskyDepartment of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (LIMCR), Cancer Cluster Salzburg, Paracelsus Medical University, 5020 Salzburg, Austria.ORCID 0000-0002-9775-185X
Paracelsus Medical University · ATUniversity of Salzburg · AT
Funding
Austrian Science Fund P28201Austrian Science Fund P32762-BAustrian Science Fund FWF P 32762
6 · The paper itself
Abstract
Chronic lymphocytic leukemia (CLL) is considered a clonal B cell malignancy. Sporadically, CLL cases with multiple productive heavy and light-chain rearrangements were detected, thus leading to a bi- or oligoclonal CLL disease with leukemic cells originating either from different B cells or otherwise descending from secondary immunoglobulin rearrangement events. This suggests a potential role of clonal hematopoiesis or germline predisposition in these cases. During the screening of 75 CLL cases for kappa and lambda light-chain rearrangements, we could detect a single case with CLL cells expressing two distinct kappa and lambda light chains paired with two separate immunoglobulin heavy-chain variable regions. Furthermore, this patient also developed a prostate carcinoma. Targeted genome sequencing of highly purified light-chain specific CLL clones from this patient and from the prostate carcinoma revealed the presence of a rare germline polymorphism in the POLE gene. Hence, our data suggest that the detected SNP may predispose for cancer, particularly for CLL.
Indexed as
Alternative SplicingPolymorphism, Single NucleotideDNA Polymerase IIHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedPoly-ADP-Ribose Binding ProteinsPrognosisProstatic NeoplasmsDNA Polymerase IIPOLE protein, humanPoly-ADP-Ribose Binding Proteinscase reportchronic lymphocytic leukemiaimmunoglobulin light chainPOLEprostate cancer
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.
A POLE Splice Site Deletion Detected in a Patient with Biclonal CLL and Prostate Cancer: A Case Report. · full record | OpenQuestion