Evidence map›Paper›PMID 41143601›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2026

Cell-of-Origin Subtype Predicts Response to Polatuzumab Vedotin in Large B-cell Lymphoma.

Edward R Scheffer Cliff, Guido D Pelaez, Fei Wan, Varun Iyengar, Jihao Zhou, Kevin Chung, Nayef Abdel-Razeq, Jessica Allen, Ajay Major, John Sharp and 22 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

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

32 authors.

Edward R Scheffer CliffDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5977-907X
Guido D PelaezDepartment of Medicine, Washington University School of Medicine, St. Louis, Missouri.ORCID 0009-0006-8449-8855
Fei WanDivision of Public Health Sciences, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-8311-5553
Varun IyengarDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7712-4605
Jihao ZhouDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-2684-192X
Kevin ChungDivision of Hematology and Oncology, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0002-6189-3688
Nayef Abdel-RazeqDivision of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida.ORCID 0009-0000-2452-2194
Jessica AllenDivision of Hematology, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0009-0000-8877-4358
Ajay MajorDivision of Hematology, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0001-7261-1335
John SharpDivision of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-5765-8549
Narendranath EpperlaDivision of Hematology, Department of Medicine, The James Cancer Hospital and Solove Research Institute, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-8216-3457
Patrick GouldDivision of Hematology and Oncology, Columbia University Irving Medical Center, New York, New York.ORCID 0000-0002-5950-4559
Hua-Jay J CherngDivision of Hematology and Oncology, Columbia University Irving Medical Center, New York, New York.ORCID 0000-0002-8266-8447
Samin HoushyarWilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York.ORCID 0009-0000-8727-436X
Danielle S WallaceWilmot Cancer Institute, University of Rochester Medical Center, Rochester, New York.ORCID 0000-0001-9371-6777
Ryan C LynchFred Hutchinson Cancer Center, University of Washington, Seattle, Washington.ORCID 0000-0001-6703-0894
Avyakta KallamDepartment of Hematology and Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, California.ORCID 0009-0007-9323-4568
Matthew G MeiDepartment of Hematology and Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, California.ORCID 0000-0002-1109-6955
Reid W MerrymanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-6360-3234
Michelle FleyshmanRutgers Cancer Institute, New Brunswick, New Jersey.ORCID 0009-0009-0116-8087
Joanna M RhodesRutgers Cancer Institute, New Brunswick, New Jersey.ORCID 0000-0002-5068-9040
Adam KidwellMedical College of Wisconsin, Milwaukee, Wisconsin.ORCID 0009-0000-3961-4235
Timothy S FenskeMedical College of Wisconsin, Milwaukee, Wisconsin.ORCID 0000-0001-7069-0025
Nikita MalakhovDivision of Hematology and Medical Oncology, Weill Department of Medicine, Weill Cornell Medicine, New York, New York.ORCID 0000-0002-9954-7406
Erin MulveyDivision of Hematology and Medical Oncology, Weill Department of Medicine, Weill Cornell Medicine, New York, New York.ORCID 0000-0002-4042-8875
Marcus P WatkinsDivision of Oncology, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0002-1224-3478
Muhamad Alhaj MoustafaDivision of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida.ORCID 0000-0001-8582-1219
Talal HilalDivision of Hematology and Oncology, Mayo Clinic, Phoenix, Arizona.ORCID 0000-0001-8249-4128
Grzegorz S NowakowskiDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-6955-9393
Yucai WangDivision of Hematology, Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-1576-8341
Pallawi TorkaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-1681-5883
David A Russler-GermainDivision of Oncology, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0003-1009-2247

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Washington University Paul Calabresi K12 Career Development Award for Clinical OncologyK12CA167540 · NCI · WASHINGTON UNIVERSITY · PI John F. Dipersio, Ramaswamy Govindan · 2012 to 2026
$11.7M
Training Hematology and Oncology Fellows in Clinical ResearchT32CA247815 · NCI · OHIO STATE UNIVERSITY · PI VERSCHRAEGEN, CLAIRE F., WESOLOWSKI, ROBERT · 2020 to 2024
$862k
Lymphoma Research Foundation (LRF)National Cancer Institute (NCI) K12CA167540National Cancer Institute (NCI) T32CA247815NCI NIH HHS K12 CA167540NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA247815
6 · The paper itself

Abstract

purposePolatuzumab vedotin (polatuzumab) was approved for up-front treatment of diffuse large B-cell lymphoma in combination with chemoimmunotherapy (Pola-R-CHP) based on the POLARIX trial. However, when stratified by cell of origin (COO), polatuzumab seems to have greater efficacy in activated B-cell than germinal center B-cell (GCB) subtype disease. Most studies of polatuzumab used RNA expression to assess COO, whereas in routine clinical practice, the immunohistochemistry-based Hans algorithm is used. EXPERIMENTAL

designTo assess the impact of COO by immunohistochemistry on polatuzumab efficacy, we conducted a multicenter real-world study of adults with large B-cell lymphoma (LBCL) receiving polatuzumab from 2015 to 2024, split by receipt of polatuzumab in first-line versus relapsed/refractory settings. The primary endpoint was overall response rate (ORR) to polatuzumab-based treatment in GCB versus non-GCB relapsed/refractory LBCL.

resultsOf 740 patients, 305 received polatuzumab in the first-line setting and 435 in the relapsed/refractory setting. In the relapsed/refractory cohort, the ORR in non-GCB versus GCB LBCL was 59.7% versus 36.3% [OR, 2.6; 95% confidence interval (CI), 1.77-3.84; P < 0.0001], with a complete response rate of 35.7% versus 17.7% (OR, 2.6; 95% CI, 1.66-4.02; P < 0.0001). Progression-free survival was longer for patients with non-GCB versus GCB COO (HR, 0.64; 95% CI, 0.5-0.83; P = 0.0006). In the first-line cohort, ORR, complete response rate, and progression-free survival were similar in non-GCB versus GCB LBCL, as hypothesized based on outcomes in the Pola-R-CHP arm of POLARIX, suggesting that the addition of polatuzumab overcomes the adverse risk of non-GCB COO in patients receiving R-CHOP.

conclusionsBased on these data, COO classification by the Hans algorithm is a strong predictor of polatuzumab efficacy in LBCL, informing real-world treatment decisions.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsImmunoconjugatesLymphoma, Large B-Cell, DiffuseAdultAgedAged, 80 and overAntibodies, MonoclonalFemaleHumansMaleMiddle AgedPrognosisTreatment OutcomeAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedImmunoconjugatespolatuzumab vedotin

Identifiers

PMID41143601
PMCPMC12624761

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